6_SQL_Advance Constructs and Query Structures .ipynb

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       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
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    "pd.set_option('display.max_rows',1500)\n",
    "import mysql.connector as connection\n",
    "import pymysql\n",
    "dbname = \"farmers_market\"\n",
    "dbhost = \"localhost\"\n",
    "dbusername = \"root\"\n",
    "dbpassword = \"9723811710\"\n",
    "conn = pymysql.connect(host = dbhost,\n",
    "                           port = int(3306),\n",
    "                             user = \"root\",\n",
    "                             passwd = dbpassword,\n",
    "                            db = dbname)\n",
    "%load_ext sql\n",
    "%sql mysql+mysqldb://root:9723811710@localhost/farmers_market"
   ]
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    "### What is a common table expression or CTE"
   ]
  },
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   "id": "17ba8276",
   "metadata": {},
   "source": [
    "- A common table expression is a named temporary result set that exists only within the execution scope of a single SQL statement e.g.,SELECT, INSERT, UPDATE, or DELETE.\n",
    "\n",
    "- Similar to a derived table, a CTE is not stored as an object and last only during the execution of a query.\n",
    "\n",
    "- Unlike a derived table, a CTE can be self-referencing (a recursive CTE) or can be referenced multiple times in the same query. In addition, a CTE provides better readability and performance in comparison with a derived table."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eae9af95",
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   "source": [
    "#### MySQL CTE syntax : \n",
    "\n",
    "- The structure of a CTE includes the name, an optional column list, and a query that defines the CTE.\n",
    "- After the CTE is defined, you can use it as a view in a SELECT, INSERT, UPDATE, DELETE, or CREATE VIEW statement.\n",
    "\n",
    "- The following illustrates the basic syntax of a CTE:\n",
    "\n",
    "        WITH cte_name (column_list) AS (\n",
    "            query\n",
    "        ) \n",
    "        SELECT * FROM cte_name;\n",
    "\n",
    "\n",
    "- Notice that the number of columns in the query must be the same as the number of columns in the column_list. If you omit the column_list, the CTE will use the column list of the query that defines the CTE"
   ]
  },
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>vendor_id</th>\n",
       "      <th>market_date</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>quantity</th>\n",
       "      <th>cost_to_customer_per_qty</th>\n",
       "      <th>transaction_time</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>14</td>\n",
       "      <td>0.99</td>\n",
       "      <td>6.99</td>\n",
       "      <td>0 days 17:32:00</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>14</td>\n",
       "      <td>2.18</td>\n",
       "      <td>6.99</td>\n",
       "      <td>0 days 18:23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>15</td>\n",
       "      <td>1.53</td>\n",
       "      <td>6.99</td>\n",
       "      <td>0 days 18:41:00</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>16</td>\n",
       "      <td>2.02</td>\n",
       "      <td>6.99</td>\n",
       "      <td>0 days 18:18:00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>22</td>\n",
       "      <td>0.66</td>\n",
       "      <td>6.99</td>\n",
       "      <td>0 days 17:34:00</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>4216</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>4</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0 days 18:48:00</td>\n",
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       "      <th>4217</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0 days 16:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4218</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>16</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0 days 18:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4219</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>18</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0 days 18:28:00</td>\n",
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       "      <th>4220</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>18</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0 days 18:50:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4221 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      product_id  vendor_id market_date  customer_id  quantity  \\\n",
       "0              1          7  2019-07-03           14      0.99   \n",
       "1              1          7  2019-07-03           14      2.18   \n",
       "2              1          7  2019-07-03           15      1.53   \n",
       "3              1          7  2019-07-03           16      2.02   \n",
       "4              1          7  2019-07-03           22      0.66   \n",
       "...          ...        ...         ...          ...       ...   \n",
       "4216          16          4  2020-09-30            4      2.00   \n",
       "4217          16          4  2020-09-30           11      1.00   \n",
       "4218          16          4  2020-09-30           16      5.00   \n",
       "4219          16          4  2020-09-30           18      6.00   \n",
       "4220          16          4  2020-09-30           18      4.00   \n",
       "\n",
       "      cost_to_customer_per_qty transaction_time  \n",
       "0                         6.99  0 days 17:32:00  \n",
       "1                         6.99  0 days 18:23:00  \n",
       "2                         6.99  0 days 18:41:00  \n",
       "3                         6.99  0 days 18:18:00  \n",
       "4                         6.99  0 days 17:34:00  \n",
       "...                        ...              ...  \n",
       "4216                      0.50  0 days 18:48:00  \n",
       "4217                      0.50  0 days 16:30:00  \n",
       "4218                      0.50  0 days 18:25:00  \n",
       "4219                      0.50  0 days 18:28:00  \n",
       "4220                      0.50  0 days 18:50:00  \n",
       "\n",
       "[4221 rows x 7 columns]"
      ]
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   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "select * from customer_purchases;\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c4a165bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CREATE A CUSTOME DATASET TO TRACK SALES OVER TIME \n",
    "# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4ef8f774",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market_date</th>\n",
       "      <th>vendor_id</th>\n",
       "      <th>Total_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>7</td>\n",
       "      <td>76.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>8</td>\n",
       "      <td>399.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-04-06</td>\n",
       "      <td>7</td>\n",
       "      <td>112.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-04-06</td>\n",
       "      <td>8</td>\n",
       "      <td>437.5000</td>\n",
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       "      <th>4</th>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>7</td>\n",
       "      <td>92.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>8</td>\n",
       "      <td>413.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>7</td>\n",
       "      <td>104.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>8</td>\n",
       "      <td>273.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>7</td>\n",
       "      <td>122.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>8</td>\n",
       "      <td>371.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>7</td>\n",
       "      <td>80.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>8</td>\n",
       "      <td>375.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>7</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>8</td>\n",
       "      <td>258.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>7</td>\n",
       "      <td>101.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>8</td>\n",
       "      <td>343.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>7</td>\n",
       "      <td>84.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>8</td>\n",
       "      <td>439.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2019-05-04</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2019-05-04</td>\n",
       "      <td>8</td>\n",
       "      <td>397.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2019-05-08</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2019-05-08</td>\n",
       "      <td>8</td>\n",
       "      <td>406.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>7</td>\n",
       "      <td>116.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>8</td>\n",
       "      <td>364.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>7</td>\n",
       "      <td>52.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>8</td>\n",
       "      <td>380.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>8</td>\n",
       "      <td>367.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2019-05-22</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2019-05-22</td>\n",
       "      <td>8</td>\n",
       "      <td>408.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2019-05-25</td>\n",
       "      <td>7</td>\n",
       "      <td>48.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2019-05-25</td>\n",
       "      <td>8</td>\n",
       "      <td>336.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>8</td>\n",
       "      <td>513.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>4</td>\n",
       "      <td>8.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>8</td>\n",
       "      <td>395.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>4</td>\n",
       "      <td>15.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>8</td>\n",
       "      <td>255.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>4</td>\n",
       "      <td>27.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>7</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>8</td>\n",
       "      <td>354.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>4</td>\n",
       "      <td>22.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>7</td>\n",
       "      <td>104.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>8</td>\n",
       "      <td>387.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>4</td>\n",
       "      <td>24.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>7</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>8</td>\n",
       "      <td>423.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>4</td>\n",
       "      <td>26.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>7</td>\n",
       "      <td>84.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>8</td>\n",
       "      <td>318.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>4</td>\n",
       "      <td>15.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>7</td>\n",
       "      <td>76.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>8</td>\n",
       "      <td>349.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>4</td>\n",
       "      <td>37.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>7</td>\n",
       "      <td>116.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>8</td>\n",
       "      <td>315.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>4</td>\n",
       "      <td>18.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>7</td>\n",
       "      <td>72.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>8</td>\n",
       "      <td>493.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>4</td>\n",
       "      <td>9.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>7</td>\n",
       "      <td>227.6668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>8</td>\n",
       "      <td>258.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>4</td>\n",
       "      <td>17.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>7</td>\n",
       "      <td>205.5104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>8</td>\n",
       "      <td>297.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>4</td>\n",
       "      <td>19.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>7</td>\n",
       "      <td>160.0159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>8</td>\n",
       "      <td>246.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>4</td>\n",
       "      <td>9.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>7</td>\n",
       "      <td>192.3783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>8</td>\n",
       "      <td>266.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>4</td>\n",
       "      <td>14.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>7</td>\n",
       "      <td>241.8654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>8</td>\n",
       "      <td>292.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>4</td>\n",
       "      <td>20.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>7</td>\n",
       "      <td>138.7969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>8</td>\n",
       "      <td>359.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>4</td>\n",
       "      <td>15.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>7</td>\n",
       "      <td>140.9416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>8</td>\n",
       "      <td>240.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>7</td>\n",
       "      <td>193.8970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>8</td>\n",
       "      <td>400.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>4</td>\n",
       "      <td>16.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>7</td>\n",
       "      <td>190.2302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>8</td>\n",
       "      <td>169.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>4</td>\n",
       "      <td>17.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>7</td>\n",
       "      <td>119.8910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>8</td>\n",
       "      <td>313.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>4</td>\n",
       "      <td>15.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>7</td>\n",
       "      <td>185.3129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>8</td>\n",
       "      <td>244.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>7</td>\n",
       "      <td>207.1722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>8</td>\n",
       "      <td>201.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>4</td>\n",
       "      <td>14.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>7</td>\n",
       "      <td>224.9706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>8</td>\n",
       "      <td>321.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>4</td>\n",
       "      <td>15.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>7</td>\n",
       "      <td>90.8223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>8</td>\n",
       "      <td>364.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>4</td>\n",
       "      <td>5.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>7</td>\n",
       "      <td>128.9115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>8</td>\n",
       "      <td>202.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>4</td>\n",
       "      <td>18.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>8</td>\n",
       "      <td>336.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>4</td>\n",
       "      <td>13.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>7</td>\n",
       "      <td>185.0544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>8</td>\n",
       "      <td>349.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>4</td>\n",
       "      <td>22.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>7</td>\n",
       "      <td>177.1426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>8</td>\n",
       "      <td>351.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>4</td>\n",
       "      <td>12.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>7</td>\n",
       "      <td>194.0910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>8</td>\n",
       "      <td>251.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>4</td>\n",
       "      <td>11.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>7</td>\n",
       "      <td>135.3516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>8</td>\n",
       "      <td>234.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>4</td>\n",
       "      <td>14.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>7</td>\n",
       "      <td>263.6891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>8</td>\n",
       "      <td>258.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>4</td>\n",
       "      <td>13.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>7</td>\n",
       "      <td>135.5181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>8</td>\n",
       "      <td>442.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>4</td>\n",
       "      <td>12.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>7</td>\n",
       "      <td>101.8617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>8</td>\n",
       "      <td>305.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>4</td>\n",
       "      <td>10.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>7</td>\n",
       "      <td>193.1832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>8</td>\n",
       "      <td>212.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>4</td>\n",
       "      <td>10.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>7</td>\n",
       "      <td>62.8729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>8</td>\n",
       "      <td>356.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>4</td>\n",
       "      <td>11.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>7</td>\n",
       "      <td>149.6747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>8</td>\n",
       "      <td>310.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>8</td>\n",
       "      <td>395.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>8</td>\n",
       "      <td>429.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2019-10-09</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2019-10-09</td>\n",
       "      <td>8</td>\n",
       "      <td>367.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>7</td>\n",
       "      <td>116.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>8</td>\n",
       "      <td>393.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>7</td>\n",
       "      <td>76.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>8</td>\n",
       "      <td>372.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>8</td>\n",
       "      <td>493.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>7</td>\n",
       "      <td>160.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>8</td>\n",
       "      <td>338.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>7</td>\n",
       "      <td>104.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>8</td>\n",
       "      <td>414.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2019-10-30</td>\n",
       "      <td>7</td>\n",
       "      <td>140.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2019-10-30</td>\n",
       "      <td>8</td>\n",
       "      <td>346.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>7</td>\n",
       "      <td>160.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>8</td>\n",
       "      <td>361.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>7</td>\n",
       "      <td>136.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>8</td>\n",
       "      <td>346.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>8</td>\n",
       "      <td>370.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2019-11-13</td>\n",
       "      <td>7</td>\n",
       "      <td>72.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2019-11-13</td>\n",
       "      <td>8</td>\n",
       "      <td>344.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2019-11-16</td>\n",
       "      <td>7</td>\n",
       "      <td>80.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2019-11-16</td>\n",
       "      <td>8</td>\n",
       "      <td>652.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2019-11-20</td>\n",
       "      <td>7</td>\n",
       "      <td>136.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2019-11-20</td>\n",
       "      <td>8</td>\n",
       "      <td>720.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>7</td>\n",
       "      <td>44.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>8</td>\n",
       "      <td>749.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>7</td>\n",
       "      <td>16.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>8</td>\n",
       "      <td>582.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>7</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>8</td>\n",
       "      <td>634.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>7</td>\n",
       "      <td>76.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>8</td>\n",
       "      <td>449.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2019-12-07</td>\n",
       "      <td>7</td>\n",
       "      <td>136.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2019-12-07</td>\n",
       "      <td>8</td>\n",
       "      <td>437.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2019-12-11</td>\n",
       "      <td>7</td>\n",
       "      <td>128.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2019-12-11</td>\n",
       "      <td>8</td>\n",
       "      <td>344.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2019-12-14</td>\n",
       "      <td>7</td>\n",
       "      <td>96.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2019-12-14</td>\n",
       "      <td>8</td>\n",
       "      <td>352.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2019-12-18</td>\n",
       "      <td>7</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2019-12-18</td>\n",
       "      <td>8</td>\n",
       "      <td>855.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2019-12-21</td>\n",
       "      <td>7</td>\n",
       "      <td>92.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2019-12-21</td>\n",
       "      <td>8</td>\n",
       "      <td>665.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>7</td>\n",
       "      <td>80.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>8</td>\n",
       "      <td>701.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>7</td>\n",
       "      <td>76.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>8</td>\n",
       "      <td>765.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>7</td>\n",
       "      <td>20.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>8</td>\n",
       "      <td>344.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>7</td>\n",
       "      <td>112.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>8</td>\n",
       "      <td>380.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>7</td>\n",
       "      <td>116.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>8</td>\n",
       "      <td>398.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>7</td>\n",
       "      <td>112.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>8</td>\n",
       "      <td>317.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>7</td>\n",
       "      <td>80.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>8</td>\n",
       "      <td>465.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>8</td>\n",
       "      <td>333.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>7</td>\n",
       "      <td>128.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>8</td>\n",
       "      <td>349.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>7</td>\n",
       "      <td>126.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>8</td>\n",
       "      <td>330.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>7</td>\n",
       "      <td>112.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>8</td>\n",
       "      <td>237.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>7</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>8</td>\n",
       "      <td>204.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>7</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>8</td>\n",
       "      <td>279.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>7</td>\n",
       "      <td>128.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>8</td>\n",
       "      <td>214.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>7</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>8</td>\n",
       "      <td>202.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2020-04-18</td>\n",
       "      <td>7</td>\n",
       "      <td>144.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2020-04-18</td>\n",
       "      <td>8</td>\n",
       "      <td>139.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>7</td>\n",
       "      <td>126.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>8</td>\n",
       "      <td>280.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2020-04-25</td>\n",
       "      <td>7</td>\n",
       "      <td>122.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2020-04-25</td>\n",
       "      <td>8</td>\n",
       "      <td>183.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2020-04-29</td>\n",
       "      <td>7</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2020-04-29</td>\n",
       "      <td>8</td>\n",
       "      <td>266.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2020-05-02</td>\n",
       "      <td>7</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2020-05-02</td>\n",
       "      <td>8</td>\n",
       "      <td>398.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2020-05-06</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>2020-05-06</td>\n",
       "      <td>8</td>\n",
       "      <td>393.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>2020-05-09</td>\n",
       "      <td>7</td>\n",
       "      <td>94.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>2020-05-09</td>\n",
       "      <td>8</td>\n",
       "      <td>486.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>7</td>\n",
       "      <td>12.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>8</td>\n",
       "      <td>367.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>7</td>\n",
       "      <td>48.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>8</td>\n",
       "      <td>392.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>7</td>\n",
       "      <td>104.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>8</td>\n",
       "      <td>326.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>8</td>\n",
       "      <td>280.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2020-05-27</td>\n",
       "      <td>7</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2020-05-27</td>\n",
       "      <td>8</td>\n",
       "      <td>353.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2020-05-30</td>\n",
       "      <td>7</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2020-05-30</td>\n",
       "      <td>8</td>\n",
       "      <td>390.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>4</td>\n",
       "      <td>17.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>7</td>\n",
       "      <td>16.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>8</td>\n",
       "      <td>364.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>4</td>\n",
       "      <td>21.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>7</td>\n",
       "      <td>84.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>8</td>\n",
       "      <td>395.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>7</td>\n",
       "      <td>132.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>8</td>\n",
       "      <td>333.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>4</td>\n",
       "      <td>19.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>7</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>8</td>\n",
       "      <td>395.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>4</td>\n",
       "      <td>19.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>7</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>8</td>\n",
       "      <td>333.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>4</td>\n",
       "      <td>25.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>7</td>\n",
       "      <td>94.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>8</td>\n",
       "      <td>284.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>4</td>\n",
       "      <td>34.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>7</td>\n",
       "      <td>80.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>8</td>\n",
       "      <td>405.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>4</td>\n",
       "      <td>17.4000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>7</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>8</td>\n",
       "      <td>383.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>4</td>\n",
       "      <td>12.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>201.6522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>8</td>\n",
       "      <td>152.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>4</td>\n",
       "      <td>25.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>7</td>\n",
       "      <td>234.8782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>8</td>\n",
       "      <td>194.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>7</td>\n",
       "      <td>227.7013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>8</td>\n",
       "      <td>253.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>4</td>\n",
       "      <td>26.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>7</td>\n",
       "      <td>182.7978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>8</td>\n",
       "      <td>224.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>4</td>\n",
       "      <td>29.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>7</td>\n",
       "      <td>249.4577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>8</td>\n",
       "      <td>168.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>4</td>\n",
       "      <td>6.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>7</td>\n",
       "      <td>161.4858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>8</td>\n",
       "      <td>284.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>4</td>\n",
       "      <td>23.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>7</td>\n",
       "      <td>166.4949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>8</td>\n",
       "      <td>162.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>4</td>\n",
       "      <td>18.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>7</td>\n",
       "      <td>220.7496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>8</td>\n",
       "      <td>235.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>4</td>\n",
       "      <td>18.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>7</td>\n",
       "      <td>149.1588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>8</td>\n",
       "      <td>186.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>7</td>\n",
       "      <td>108.6177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>248.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>4</td>\n",
       "      <td>19.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>7</td>\n",
       "      <td>174.7252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>8</td>\n",
       "      <td>219.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>4</td>\n",
       "      <td>19.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>7</td>\n",
       "      <td>216.2844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>8</td>\n",
       "      <td>338.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>4</td>\n",
       "      <td>22.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>7</td>\n",
       "      <td>197.8289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>8</td>\n",
       "      <td>318.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>4</td>\n",
       "      <td>24.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>7</td>\n",
       "      <td>198.9626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>8</td>\n",
       "      <td>287.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>4</td>\n",
       "      <td>30.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>7</td>\n",
       "      <td>141.4233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>8</td>\n",
       "      <td>405.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>4</td>\n",
       "      <td>19.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>7</td>\n",
       "      <td>210.2049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>8</td>\n",
       "      <td>189.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>4</td>\n",
       "      <td>21.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>7</td>\n",
       "      <td>211.5845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>8</td>\n",
       "      <td>282.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>7</td>\n",
       "      <td>237.4092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>8</td>\n",
       "      <td>201.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>4</td>\n",
       "      <td>11.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>7</td>\n",
       "      <td>213.6328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>8</td>\n",
       "      <td>320.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>7</td>\n",
       "      <td>208.8490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>8</td>\n",
       "      <td>134.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>4</td>\n",
       "      <td>22.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>7</td>\n",
       "      <td>238.3834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>8</td>\n",
       "      <td>415.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>7</td>\n",
       "      <td>179.1215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>8</td>\n",
       "      <td>139.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>4</td>\n",
       "      <td>7.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>7</td>\n",
       "      <td>190.8713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>8</td>\n",
       "      <td>351.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>7</td>\n",
       "      <td>297.4238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>8</td>\n",
       "      <td>240.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>4</td>\n",
       "      <td>18.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>7</td>\n",
       "      <td>109.1197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>8</td>\n",
       "      <td>294.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>4</td>\n",
       "      <td>11.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>7</td>\n",
       "      <td>192.1953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>8</td>\n",
       "      <td>241.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>4</td>\n",
       "      <td>12.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>7</td>\n",
       "      <td>251.6641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>8</td>\n",
       "      <td>260.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2020-10-03</td>\n",
       "      <td>7</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2020-10-03</td>\n",
       "      <td>8</td>\n",
       "      <td>454.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2020-10-07</td>\n",
       "      <td>7</td>\n",
       "      <td>91.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2020-10-07</td>\n",
       "      <td>8</td>\n",
       "      <td>501.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2020-10-10</td>\n",
       "      <td>7</td>\n",
       "      <td>105.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2020-10-10</td>\n",
       "      <td>8</td>\n",
       "      <td>490.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    market_date  vendor_id  Total_Sales\n",
       "0    2019-04-03          7      76.0000\n",
       "1    2019-04-03          8     399.0000\n",
       "2    2019-04-06          7     112.0000\n",
       "3    2019-04-06          8     437.5000\n",
       "4    2019-04-10          7      92.0000\n",
       "5    2019-04-10          8     413.0000\n",
       "6    2019-04-13          7     104.0000\n",
       "7    2019-04-13          8     273.0000\n",
       "8    2019-04-17          7     122.5000\n",
       "9    2019-04-17          8     371.0000\n",
       "10   2019-04-20          7      80.0000\n",
       "11   2019-04-20          8     375.5000\n",
       "12   2019-04-24          7     108.0000\n",
       "13   2019-04-24          8     258.0000\n",
       "14   2019-04-27          7     101.5000\n",
       "15   2019-04-27          8     343.0000\n",
       "16   2019-05-01          7      84.0000\n",
       "17   2019-05-01          8     439.0000\n",
       "18   2019-05-04          7     100.0000\n",
       "19   2019-05-04          8     397.0000\n",
       "20   2019-05-08          7      88.0000\n",
       "21   2019-05-08          8     406.5000\n",
       "22   2019-05-11          7     116.0000\n",
       "23   2019-05-11          8     364.0000\n",
       "24   2019-05-15          7      52.0000\n",
       "25   2019-05-15          8     380.5000\n",
       "26   2019-05-18          7     120.0000\n",
       "27   2019-05-18          8     367.5000\n",
       "28   2019-05-22          7      88.0000\n",
       "29   2019-05-22          8     408.0000\n",
       "30   2019-05-25          7      48.0000\n",
       "31   2019-05-25          8     336.5000\n",
       "32   2019-05-29          7     120.0000\n",
       "33   2019-05-29          8     513.0000\n",
       "34   2019-06-01          4       8.6000\n",
       "35   2019-06-01          7      88.0000\n",
       "36   2019-06-01          8     395.5000\n",
       "37   2019-06-05          4      15.5000\n",
       "38   2019-06-05          7     100.0000\n",
       "39   2019-06-05          8     255.0000\n",
       "40   2019-06-08          4      27.0000\n",
       "41   2019-06-08          7      68.0000\n",
       "42   2019-06-08          8     354.0000\n",
       "43   2019-06-12          4      22.7000\n",
       "44   2019-06-12          7     104.0000\n",
       "45   2019-06-12          8     387.0000\n",
       "46   2019-06-15          4      24.5000\n",
       "47   2019-06-15          7     124.0000\n",
       "48   2019-06-15          8     423.0000\n",
       "49   2019-06-19          4      26.2000\n",
       "50   2019-06-19          7      84.0000\n",
       "51   2019-06-19          8     318.5000\n",
       "52   2019-06-22          4      15.0000\n",
       "53   2019-06-22          7      76.0000\n",
       "54   2019-06-22          8     349.5000\n",
       "55   2019-06-26          4      37.1000\n",
       "56   2019-06-26          7     116.0000\n",
       "57   2019-06-26          8     315.0000\n",
       "58   2019-06-29          4      18.6000\n",
       "59   2019-06-29          7      72.0000\n",
       "60   2019-06-29          8     493.0000\n",
       "61   2019-07-03          4       9.1000\n",
       "62   2019-07-03          7     227.6668\n",
       "63   2019-07-03          8     258.0000\n",
       "64   2019-07-06          4      17.1000\n",
       "65   2019-07-06          7     205.5104\n",
       "66   2019-07-06          8     297.0000\n",
       "67   2019-07-10          4      19.7000\n",
       "68   2019-07-10          7     160.0159\n",
       "69   2019-07-10          8     246.5000\n",
       "70   2019-07-13          4       9.5000\n",
       "71   2019-07-13          7     192.3783\n",
       "72   2019-07-13          8     266.5000\n",
       "73   2019-07-17          4      14.1000\n",
       "74   2019-07-17          7     241.8654\n",
       "75   2019-07-17          8     292.0000\n",
       "76   2019-07-20          4      20.0000\n",
       "77   2019-07-20          7     138.7969\n",
       "78   2019-07-20          8     359.5000\n",
       "79   2019-07-24          4      15.1000\n",
       "80   2019-07-24          7     140.9416\n",
       "81   2019-07-24          8     240.5000\n",
       "82   2019-07-27          4      17.0000\n",
       "83   2019-07-27          7     193.8970\n",
       "84   2019-07-27          8     400.0000\n",
       "85   2019-07-31          4      16.1000\n",
       "86   2019-07-31          7     190.2302\n",
       "87   2019-07-31          8     169.5000\n",
       "88   2019-08-03          4      17.5000\n",
       "89   2019-08-03          7     119.8910\n",
       "90   2019-08-03          8     313.5000\n",
       "91   2019-08-07          4      15.8000\n",
       "92   2019-08-07          7     185.3129\n",
       "93   2019-08-07          8     244.5000\n",
       "94   2019-08-10          4      17.0000\n",
       "95   2019-08-10          7     207.1722\n",
       "96   2019-08-10          8     201.0000\n",
       "97   2019-08-14          4      14.0000\n",
       "98   2019-08-14          7     224.9706\n",
       "99   2019-08-14          8     321.5000\n",
       "100  2019-08-17          4      15.7000\n",
       "101  2019-08-17          7      90.8223\n",
       "102  2019-08-17          8     364.0000\n",
       "103  2019-08-21          4       5.5000\n",
       "104  2019-08-21          7     128.9115\n",
       "105  2019-08-21          8     202.5000\n",
       "106  2019-08-24          4      18.8000\n",
       "107  2019-08-24          7     120.0365\n",
       "108  2019-08-24          8     336.5000\n",
       "109  2019-08-28          4      13.1000\n",
       "110  2019-08-28          7     185.0544\n",
       "111  2019-08-28          8     349.5000\n",
       "112  2019-08-31          4      22.5000\n",
       "113  2019-08-31          7     177.1426\n",
       "114  2019-08-31          8     351.5000\n",
       "115  2019-09-04          4      12.5000\n",
       "116  2019-09-04          7     194.0910\n",
       "117  2019-09-04          8     251.5000\n",
       "118  2019-09-07          4      11.7000\n",
       "119  2019-09-07          7     135.3516\n",
       "120  2019-09-07          8     234.0000\n",
       "121  2019-09-11          4      14.1000\n",
       "122  2019-09-11          7     263.6891\n",
       "123  2019-09-11          8     258.0000\n",
       "124  2019-09-14          4      13.5000\n",
       "125  2019-09-14          7     135.5181\n",
       "126  2019-09-14          8     442.5000\n",
       "127  2019-09-18          4      12.0000\n",
       "128  2019-09-18          7     101.8617\n",
       "129  2019-09-18          8     305.5000\n",
       "130  2019-09-21          4      10.5000\n",
       "131  2019-09-21          7     193.1832\n",
       "132  2019-09-21          8     212.0000\n",
       "133  2019-09-25          4      10.5000\n",
       "134  2019-09-25          7      62.8729\n",
       "135  2019-09-25          8     356.0000\n",
       "136  2019-09-28          4      11.5000\n",
       "137  2019-09-28          7     149.6747\n",
       "138  2019-09-28          8     310.5000\n",
       "139  2019-10-02          7     100.0000\n",
       "140  2019-10-02          8     395.0000\n",
       "141  2019-10-05          7      88.0000\n",
       "142  2019-10-05          8     429.5000\n",
       "143  2019-10-09          7      88.0000\n",
       "144  2019-10-09          8     367.5000\n",
       "145  2019-10-12          7     116.0000\n",
       "146  2019-10-12          8     393.5000\n",
       "147  2019-10-16          7      76.0000\n",
       "148  2019-10-16          8     372.0000\n",
       "149  2019-10-19          7     100.0000\n",
       "150  2019-10-19          8     493.0000\n",
       "151  2019-10-23          7     160.0000\n",
       "152  2019-10-23          8     338.0000\n",
       "153  2019-10-26          7     104.0000\n",
       "154  2019-10-26          8     414.5000\n",
       "155  2019-10-30          7     140.0000\n",
       "156  2019-10-30          8     346.0000\n",
       "157  2019-11-02          7     160.0000\n",
       "158  2019-11-02          8     361.0000\n",
       "159  2019-11-06          7     136.0000\n",
       "160  2019-11-06          8     346.5000\n",
       "161  2019-11-09          7      88.0000\n",
       "162  2019-11-09          8     370.5000\n",
       "163  2019-11-13          7      72.0000\n",
       "164  2019-11-13          8     344.5000\n",
       "165  2019-11-16          7      80.0000\n",
       "166  2019-11-16          8     652.5000\n",
       "167  2019-11-20          7     136.0000\n",
       "168  2019-11-20          8     720.5000\n",
       "169  2019-11-23          7      44.0000\n",
       "170  2019-11-23          8     749.0000\n",
       "171  2019-11-27          7      16.0000\n",
       "172  2019-11-27          8     582.0000\n",
       "173  2019-11-30          7     108.0000\n",
       "174  2019-11-30          8     634.5000\n",
       "175  2019-12-04          7      76.0000\n",
       "176  2019-12-04          8     449.0000\n",
       "177  2019-12-07          7     136.0000\n",
       "178  2019-12-07          8     437.5000\n",
       "179  2019-12-11          7     128.0000\n",
       "180  2019-12-11          8     344.5000\n",
       "181  2019-12-14          7      96.0000\n",
       "182  2019-12-14          8     352.5000\n",
       "183  2019-12-18          7     124.0000\n",
       "184  2019-12-18          8     855.0000\n",
       "185  2019-12-21          7      92.0000\n",
       "186  2019-12-21          8     665.5000\n",
       "187  2019-12-25          7      80.0000\n",
       "188  2019-12-25          8     701.5000\n",
       "189  2019-12-28          7      76.0000\n",
       "190  2019-12-28          8     765.0000\n",
       "191  2020-03-04          7      20.0000\n",
       "192  2020-03-04          8     344.5000\n",
       "193  2020-03-07          7     112.0000\n",
       "194  2020-03-07          8     380.5000\n",
       "195  2020-03-11          7     116.0000\n",
       "196  2020-03-11          8     398.5000\n",
       "197  2020-03-14          7     112.0000\n",
       "198  2020-03-14          8     317.0000\n",
       "199  2020-03-18          7      80.0000\n",
       "200  2020-03-18          8     465.5000\n",
       "201  2020-03-21          7     120.0000\n",
       "202  2020-03-21          8     333.5000\n",
       "203  2020-03-25          7     128.0000\n",
       "204  2020-03-25          8     349.5000\n",
       "205  2020-03-28          7     126.0000\n",
       "206  2020-03-28          8     330.0000\n",
       "207  2020-04-01          7     112.0000\n",
       "208  2020-04-01          8     237.0000\n",
       "209  2020-04-04          7      68.0000\n",
       "210  2020-04-04          8     204.5000\n",
       "211  2020-04-08          7     100.0000\n",
       "212  2020-04-08          8     279.0000\n",
       "213  2020-04-11          7     128.0000\n",
       "214  2020-04-11          8     214.0000\n",
       "215  2020-04-15          7     108.0000\n",
       "216  2020-04-15          8     202.5000\n",
       "217  2020-04-18          7     144.0000\n",
       "218  2020-04-18          8     139.0000\n",
       "219  2020-04-22          7     126.0000\n",
       "220  2020-04-22          8     280.5000\n",
       "221  2020-04-25          7     122.5000\n",
       "222  2020-04-25          8     183.0000\n",
       "223  2020-04-29          7     108.0000\n",
       "224  2020-04-29          8     266.0000\n",
       "225  2020-05-02          7      68.0000\n",
       "226  2020-05-02          8     398.5000\n",
       "227  2020-05-06          7     120.0000\n",
       "228  2020-05-06          8     393.5000\n",
       "229  2020-05-09          7      94.5000\n",
       "230  2020-05-09          8     486.5000\n",
       "231  2020-05-13          7      12.0000\n",
       "232  2020-05-13          8     367.5000\n",
       "233  2020-05-16          7      48.0000\n",
       "234  2020-05-16          8     392.0000\n",
       "235  2020-05-20          7     104.0000\n",
       "236  2020-05-20          8     326.5000\n",
       "237  2020-05-23          7      88.0000\n",
       "238  2020-05-23          8     280.5000\n",
       "239  2020-05-27          7      88.0000\n",
       "240  2020-05-27          8     353.0000\n",
       "241  2020-05-30          7     124.0000\n",
       "242  2020-05-30          8     390.0000\n",
       "243  2020-06-03          4      17.5000\n",
       "244  2020-06-03          7      16.0000\n",
       "245  2020-06-03          8     364.5000\n",
       "246  2020-06-06          4      21.5000\n",
       "247  2020-06-06          7      84.0000\n",
       "248  2020-06-06          8     395.0000\n",
       "249  2020-06-10          4      17.0000\n",
       "250  2020-06-10          7     132.0000\n",
       "251  2020-06-10          8     333.0000\n",
       "252  2020-06-13          4      19.5000\n",
       "253  2020-06-13          7     108.0000\n",
       "254  2020-06-13          8     395.0000\n",
       "255  2020-06-17          4      19.1000\n",
       "256  2020-06-17          7     124.0000\n",
       "257  2020-06-17          8     333.0000\n",
       "258  2020-06-20          4      25.0000\n",
       "259  2020-06-20          7      94.5000\n",
       "260  2020-06-20          8     284.0000\n",
       "261  2020-06-24          4      34.6000\n",
       "262  2020-06-24          7      80.0000\n",
       "263  2020-06-24          8     405.0000\n",
       "264  2020-06-27          4      17.4000\n",
       "265  2020-06-27          7     120.0000\n",
       "266  2020-06-27          8     383.5000\n",
       "267  2020-07-01          4      12.6000\n",
       "268  2020-07-01          7     201.6522\n",
       "269  2020-07-01          8     152.0000\n",
       "270  2020-07-04          4      25.7000\n",
       "271  2020-07-04          7     234.8782\n",
       "272  2020-07-04          8     194.0000\n",
       "273  2020-07-08          4       8.0000\n",
       "274  2020-07-08          7     227.7013\n",
       "275  2020-07-08          8     253.0000\n",
       "276  2020-07-11          4      26.8000\n",
       "277  2020-07-11          7     182.7978\n",
       "278  2020-07-11          8     224.0000\n",
       "279  2020-07-15          4      29.0000\n",
       "280  2020-07-15          7     249.4577\n",
       "281  2020-07-15          8     168.5000\n",
       "282  2020-07-18          4       6.6000\n",
       "283  2020-07-18          7     161.4858\n",
       "284  2020-07-18          8     284.0000\n",
       "285  2020-07-22          4      23.7000\n",
       "286  2020-07-22          7     166.4949\n",
       "287  2020-07-22          8     162.0000\n",
       "288  2020-07-25          4      18.1000\n",
       "289  2020-07-25          7     220.7496\n",
       "290  2020-07-25          8     235.0000\n",
       "291  2020-07-29          4      18.0000\n",
       "292  2020-07-29          7     149.1588\n",
       "293  2020-07-29          8     186.5000\n",
       "294  2020-08-01          4       7.0000\n",
       "295  2020-08-01          7     108.6177\n",
       "296  2020-08-01          8     248.0000\n",
       "297  2020-08-05          4      19.7000\n",
       "298  2020-08-05          7     174.7252\n",
       "299  2020-08-05          8     219.0000\n",
       "300  2020-08-08          4      19.5000\n",
       "301  2020-08-08          7     216.2844\n",
       "302  2020-08-08          8     338.0000\n",
       "303  2020-08-12          4      22.0000\n",
       "304  2020-08-12          7     197.8289\n",
       "305  2020-08-12          8     318.5000\n",
       "306  2020-08-15          4      24.6000\n",
       "307  2020-08-15          7     198.9626\n",
       "308  2020-08-15          8     287.0000\n",
       "309  2020-08-19          4      30.0000\n",
       "310  2020-08-19          7     141.4233\n",
       "311  2020-08-19          8     405.0000\n",
       "312  2020-08-22          4      19.8000\n",
       "313  2020-08-22          7     210.2049\n",
       "314  2020-08-22          8     189.5000\n",
       "315  2020-08-26          4      21.5000\n",
       "316  2020-08-26          7     211.5845\n",
       "317  2020-08-26          8     282.5000\n",
       "318  2020-08-29          4      10.0000\n",
       "319  2020-08-29          7     237.4092\n",
       "320  2020-08-29          8     201.0000\n",
       "321  2020-09-02          4      11.6000\n",
       "322  2020-09-02          7     213.6328\n",
       "323  2020-09-02          8     320.0000\n",
       "324  2020-09-05          4      17.0000\n",
       "325  2020-09-05          7     208.8490\n",
       "326  2020-09-05          8     134.0000\n",
       "327  2020-09-09          4      22.0000\n",
       "328  2020-09-09          7     238.3834\n",
       "329  2020-09-09          8     415.0000\n",
       "330  2020-09-12          4       3.0000\n",
       "331  2020-09-12          7     179.1215\n",
       "332  2020-09-12          8     139.0000\n",
       "333  2020-09-16          4       7.5000\n",
       "334  2020-09-16          7     190.8713\n",
       "335  2020-09-16          8     351.0000\n",
       "336  2020-09-19          4       8.0000\n",
       "337  2020-09-19          7     297.4238\n",
       "338  2020-09-19          8     240.0000\n",
       "339  2020-09-23          4      18.1000\n",
       "340  2020-09-23          7     109.1197\n",
       "341  2020-09-23          8     294.0000\n",
       "342  2020-09-26          4      11.0000\n",
       "343  2020-09-26          7     192.1953\n",
       "344  2020-09-26          8     241.5000\n",
       "345  2020-09-30          4      12.6000\n",
       "346  2020-09-30          7     251.6641\n",
       "347  2020-09-30          8     260.0000\n",
       "348  2020-10-03          7      68.0000\n",
       "349  2020-10-03          8     454.0000\n",
       "350  2020-10-07          7      91.0000\n",
       "351  2020-10-07          8     501.5000\n",
       "352  2020-10-10          7     105.0000\n",
       "353  2020-10-10          8     490.0000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "select\n",
    "    market_date,\n",
    "    vendor_id,\n",
    "    sum(quantity * cost_to_customer_per_qty)  as Total_Sales\n",
    "from\n",
    "    customer_purchases\n",
    "group by market_date,vendor_id \n",
    "order by market_date , vendor_id\n",
    ";\n",
    "    \n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bd5aeccb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>week</th>\n",
       "      <th>month_name</th>\n",
       "      <th>Total_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13</td>\n",
       "      <td>April</td>\n",
       "      <td>1646.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14</td>\n",
       "      <td>April</td>\n",
       "      <td>1603.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>April</td>\n",
       "      <td>1542.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>April</td>\n",
       "      <td>1522.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>May</td>\n",
       "      <td>1679.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>17</td>\n",
       "      <td>May</td>\n",
       "      <td>1860.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>May</td>\n",
       "      <td>2069.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19</td>\n",
       "      <td>May</td>\n",
       "      <td>1739.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>21</td>\n",
       "      <td>May</td>\n",
       "      <td>2080.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>25</td>\n",
       "      <td>June</td>\n",
       "      <td>2092.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24</td>\n",
       "      <td>June</td>\n",
       "      <td>1748.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>June</td>\n",
       "      <td>2089.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>22</td>\n",
       "      <td>June</td>\n",
       "      <td>1718.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>26</td>\n",
       "      <td>July</td>\n",
       "      <td>1835.2076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>27</td>\n",
       "      <td>July</td>\n",
       "      <td>1816.8933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>28</td>\n",
       "      <td>July</td>\n",
       "      <td>1965.3058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>29</td>\n",
       "      <td>July</td>\n",
       "      <td>1833.4831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>30</td>\n",
       "      <td>July</td>\n",
       "      <td>1543.9977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>32</td>\n",
       "      <td>August</td>\n",
       "      <td>2079.8844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>August</td>\n",
       "      <td>1808.1762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>34</td>\n",
       "      <td>August</td>\n",
       "      <td>2062.7907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>31</td>\n",
       "      <td>August</td>\n",
       "      <td>1857.9947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>38</td>\n",
       "      <td>September</td>\n",
       "      <td>1766.9626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>37</td>\n",
       "      <td>September</td>\n",
       "      <td>1929.8400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>36</td>\n",
       "      <td>September</td>\n",
       "      <td>2123.8121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>35</td>\n",
       "      <td>September</td>\n",
       "      <td>1744.2244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>40</td>\n",
       "      <td>October</td>\n",
       "      <td>2152.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>41</td>\n",
       "      <td>October</td>\n",
       "      <td>1041.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>42</td>\n",
       "      <td>October</td>\n",
       "      <td>1016.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>43</td>\n",
       "      <td>October</td>\n",
       "      <td>1007.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>44</td>\n",
       "      <td>November</td>\n",
       "      <td>941.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>45</td>\n",
       "      <td>November</td>\n",
       "      <td>1149.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>46</td>\n",
       "      <td>November</td>\n",
       "      <td>1649.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>47</td>\n",
       "      <td>November</td>\n",
       "      <td>1340.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>48</td>\n",
       "      <td>December</td>\n",
       "      <td>1098.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>49</td>\n",
       "      <td>December</td>\n",
       "      <td>921.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>50</td>\n",
       "      <td>December</td>\n",
       "      <td>1736.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>51</td>\n",
       "      <td>December</td>\n",
       "      <td>1622.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>9</td>\n",
       "      <td>March</td>\n",
       "      <td>857.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>10</td>\n",
       "      <td>March</td>\n",
       "      <td>943.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>11</td>\n",
       "      <td>March</td>\n",
       "      <td>999.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>12</td>\n",
       "      <td>March</td>\n",
       "      <td>933.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>39</td>\n",
       "      <td>September</td>\n",
       "      <td>2058.7641</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    week month_name  Total_Sales\n",
       "0     13      April    1646.0000\n",
       "1     14      April    1603.0000\n",
       "2     15      April    1542.5000\n",
       "3     16      April    1522.5000\n",
       "4     20        May    1679.5000\n",
       "5     17        May    1860.5000\n",
       "6     18        May    2069.0000\n",
       "7     19        May    1739.5000\n",
       "8     21        May    2080.1000\n",
       "9     25       June    2092.2000\n",
       "10    24       June    1748.8000\n",
       "11    23       June    2089.7000\n",
       "12    22       June    1718.0000\n",
       "13    26       July    1835.2076\n",
       "14    27       July    1816.8933\n",
       "15    28       July    1965.3058\n",
       "16    29       July    1833.4831\n",
       "17    30       July    1543.9977\n",
       "18    32     August    2079.8844\n",
       "19    33     August    1808.1762\n",
       "20    34     August    2062.7907\n",
       "21    31     August    1857.9947\n",
       "22    38  September    1766.9626\n",
       "23    37  September    1929.8400\n",
       "24    36  September    2123.8121\n",
       "25    35  September    1744.2244\n",
       "26    40    October    2152.5000\n",
       "27    41    October    1041.0000\n",
       "28    42    October    1016.5000\n",
       "29    43    October    1007.0000\n",
       "30    44   November     941.0000\n",
       "31    45   November    1149.0000\n",
       "32    46   November    1649.5000\n",
       "33    47   November    1340.5000\n",
       "34    48   December    1098.5000\n",
       "35    49   December     921.0000\n",
       "36    50   December    1736.5000\n",
       "37    51   December    1622.5000\n",
       "38     9      March     857.0000\n",
       "39    10      March     943.5000\n",
       "40    11      March     999.0000\n",
       "41    12      March     933.5000\n",
       "42    39  September    2058.7641"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "\n",
    "select\n",
    "    \n",
    "    week(market_date) 'week',\n",
    "    monthname(market_date) month_name,\n",
    "    sum(quantity * cost_to_customer_per_qty)  as Total_Sales\n",
    "from\n",
    "    customer_purchases\n",
    "group by week(market_date)\n",
    "order by year(market_date),month(market_date)\n",
    "    \n",
    "\n",
    ";\n",
    "    \n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "78d27aba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month_name</th>\n",
       "      <th>Total_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>6688.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>8562.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>8140.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>8180.3788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>8623.3547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>8089.1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>6230.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>5601.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>5378.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>3733.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year month_name  Total_Sales\n",
       "0  2019      April    6688.0000\n",
       "1  2019        May    8562.5000\n",
       "2  2019       June    8140.8000\n",
       "3  2019       July    8180.3788\n",
       "4  2019     August    8623.3547\n",
       "5  2019  September    8089.1032\n",
       "6  2019    October    6230.5000\n",
       "7  2019   November    5601.0000\n",
       "8  2019   December    5378.5000\n",
       "9  2020      March    3733.0000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "\n",
    "select\n",
    "    year(market_date) as 'year',\n",
    "    monthname(market_date) 'month_name',\n",
    "    sum(quantity * cost_to_customer_per_qty)  as Total_Sales\n",
    "from\n",
    "    customer_purchases\n",
    "group by month(market_date)\n",
    "order by year(market_date),month(market_date)\n",
    "    \n",
    "\n",
    ";\n",
    "    \n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0951bf69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market_date</th>\n",
       "      <th>vendor_id</th>\n",
       "      <th>market_day</th>\n",
       "      <th>market_week</th>\n",
       "      <th>market_year</th>\n",
       "      <th>vendor_name</th>\n",
       "      <th>vendor_type</th>\n",
       "      <th>Total_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>399.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-04-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>14</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>112.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-04-06</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>14</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>437.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>15</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>92.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-04-10</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>15</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>413.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>15</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>104.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019-04-13</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>15</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>273.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>16</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>122.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>16</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>371.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>16</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>16</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>375.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>17</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>17</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>258.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>17</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>101.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>17</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>343.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>18</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>84.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>18</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>439.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2019-05-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>18</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2019-05-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>18</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>397.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2019-05-08</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2019-05-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>406.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>116.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>364.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>52.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>380.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2019-05-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>367.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2019-05-22</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>21</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2019-05-22</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>21</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>408.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2019-05-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>48.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2019-05-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>336.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>22</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>22</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>513.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>22</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>8.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>22</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2019-06-01</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>22</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>395.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>255.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>27.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019-06-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>354.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>104.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>387.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>24.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>124.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2019-06-15</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>423.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>26.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>84.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>318.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2019-06-22</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>349.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>37.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>116.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2019-06-26</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>315.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>72.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2019-06-29</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>493.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>9.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>227.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2019-07-03</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>258.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>205.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2019-07-06</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>297.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>160.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>246.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>9.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>192.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2019-07-13</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>266.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>14.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>241.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>292.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>138.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2019-07-20</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>359.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>140.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2019-07-24</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>240.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>193.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2019-07-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>16.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>190.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>169.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>119.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>313.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>185.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>244.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>207.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2019-08-10</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>201.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>14.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>224.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2019-08-14</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>321.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>90.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019-08-17</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>364.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>5.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>128.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>202.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2019-08-24</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>336.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>13.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>185.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>349.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>177.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>351.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>194.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2019-09-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>251.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>11.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>135.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2019-09-07</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>234.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>14.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>263.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2019-09-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>258.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>13.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>135.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>442.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>101.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2019-09-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>305.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>10.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>193.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>212.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>10.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>62.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>356.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>11.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>149.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2019-09-28</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>310.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>40</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>40</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>395.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>40</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2019-10-05</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>40</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>429.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2019-10-09</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>41</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2019-10-09</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>41</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>367.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>41</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>116.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2019-10-12</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>41</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>393.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>42</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2019-10-16</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>42</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>372.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>42</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2019-10-19</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>42</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>493.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>43</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>160.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>43</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>338.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>43</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>104.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2019-10-26</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>43</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>414.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2019-10-30</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>44</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>140.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2019-10-30</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>44</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>346.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>44</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>160.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>44</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>361.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>45</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>136.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>45</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>346.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>45</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2019-11-09</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>45</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>370.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2019-11-13</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>46</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>72.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2019-11-13</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>46</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>344.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2019-11-16</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>46</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2019-11-16</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>46</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>652.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2019-11-20</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>47</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>136.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2019-11-20</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>47</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>720.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>47</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>44.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>47</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>749.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>48</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>48</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>582.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>48</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>48</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>634.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>49</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>49</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>449.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2019-12-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>49</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>136.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2019-12-07</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>49</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>437.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2019-12-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>50</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>128.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2019-12-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>50</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>344.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2019-12-14</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>50</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>96.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2019-12-14</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>50</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>352.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2019-12-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>51</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>124.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2019-12-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>51</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>855.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2019-12-21</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>51</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>92.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2019-12-21</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>51</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>665.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>701.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>765.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>344.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>112.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>380.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>116.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>398.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>112.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>317.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>465.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2020-03-21</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>333.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>128.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>349.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>126.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>330.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>112.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>237.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2020-04-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>14</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>204.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>15</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>15</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>15</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>128.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2020-04-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>15</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>214.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>16</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>16</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>202.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2020-04-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>16</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>144.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2020-04-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>16</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>139.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>17</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>126.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>17</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>280.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2020-04-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>17</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>122.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2020-04-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>17</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>183.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2020-04-29</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>18</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2020-04-29</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>18</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>266.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2020-05-02</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>18</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2020-05-02</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>18</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>398.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2020-05-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>2020-05-06</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>393.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>2020-05-09</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>94.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>2020-05-09</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>486.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>2020-05-13</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>367.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>48.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>2020-05-16</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>392.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>21</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>104.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>21</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>326.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>280.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2020-05-27</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>22</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2020-05-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>22</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>353.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2020-05-30</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>22</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>124.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2020-05-30</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>22</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>390.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>364.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>21.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>84.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2020-06-06</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>23</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>395.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>132.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2020-06-10</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>333.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2020-06-13</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>395.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>124.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2020-06-17</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>333.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>94.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2020-06-20</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>25</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>284.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>34.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>405.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>383.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>201.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>152.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>25.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>234.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>2020-07-04</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>194.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>227.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>253.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>26.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>182.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>28</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>224.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>29.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>249.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>2020-07-15</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>168.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>161.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>2020-07-18</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>29</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>284.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>23.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>166.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>162.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>30</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>235.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>149.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>186.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>31</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>248.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>174.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>219.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>216.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>32</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>338.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>197.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>318.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>24.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>198.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>2020-08-15</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>287.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>141.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>405.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>19.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>210.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>34</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>189.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>21.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>211.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-08-26</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>282.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>237.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>35</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>201.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>11.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>213.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>320.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>208.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>36</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>134.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>238.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-09-09</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>415.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>179.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>37</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>139.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>7.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>190.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-09-16</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>351.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>297.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-09-19</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>38</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>240.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>109.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-09-23</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>294.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>4</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>192.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-09-26</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>241.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>4</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>40</td>\n",
       "      <td>2020</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>40</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>251.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>40</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2020-10-03</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>40</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2020-10-03</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>40</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>454.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2020-10-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>41</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>91.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2020-10-07</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>41</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>501.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2020-10-10</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>41</td>\n",
       "      <td>2020</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>105.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2020-10-10</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>41</td>\n",
       "      <td>2020</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>490.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    market_date  vendor_id market_day market_week market_year  \\\n",
       "0    2019-04-03          7  Wednesday          14        2019   \n",
       "1    2019-04-03          8  Wednesday          14        2019   \n",
       "2    2019-04-06          7   Saturday          14        2019   \n",
       "3    2019-04-06          8   Saturday          14        2019   \n",
       "4    2019-04-10          7  Wednesday          15        2019   \n",
       "5    2019-04-10          8  Wednesday          15        2019   \n",
       "6    2019-04-13          7   Saturday          15        2019   \n",
       "7    2019-04-13          8   Saturday          15        2019   \n",
       "8    2019-04-17          7  Wednesday          16        2019   \n",
       "9    2019-04-17          8  Wednesday          16        2019   \n",
       "10   2019-04-20          7   Saturday          16        2019   \n",
       "11   2019-04-20          8   Saturday          16        2019   \n",
       "12   2019-04-24          7  Wednesday          17        2019   \n",
       "13   2019-04-24          8  Wednesday          17        2019   \n",
       "14   2019-04-27          7   Saturday          17        2019   \n",
       "15   2019-04-27          8   Saturday          17        2019   \n",
       "16   2019-05-01          7  Wednesday          18        2019   \n",
       "17   2019-05-01          8  Wednesday          18        2019   \n",
       "18   2019-05-04          7   Saturday          18        2019   \n",
       "19   2019-05-04          8   Saturday          18        2019   \n",
       "20   2019-05-08          7  Wednesday          19        2019   \n",
       "21   2019-05-08          8  Wednesday          19        2019   \n",
       "22   2019-05-11          7   Saturday          19        2019   \n",
       "23   2019-05-11          8   Saturday          19        2019   \n",
       "24   2019-05-15          7  Wednesday          20        2019   \n",
       "25   2019-05-15          8  Wednesday          20        2019   \n",
       "26   2019-05-18          7   Saturday          20        2019   \n",
       "27   2019-05-18          8   Saturday          20        2019   \n",
       "28   2019-05-22          7  Wednesday          21        2019   \n",
       "29   2019-05-22          8  Wednesday          21        2019   \n",
       "30   2019-05-25          7   Saturday          21        2019   \n",
       "31   2019-05-25          8   Saturday          21        2019   \n",
       "32   2019-05-29          7  Wednesday          22        2019   \n",
       "33   2019-05-29          8  Wednesday          22        2019   \n",
       "34   2019-06-01          4   Saturday          22        2019   \n",
       "35   2019-06-01          7   Saturday          22        2019   \n",
       "36   2019-06-01          8   Saturday          22        2019   \n",
       "37   2019-06-05          4  Wednesday          23        2019   \n",
       "38   2019-06-05          7  Wednesday          23        2019   \n",
       "39   2019-06-05          8  Wednesday          23        2019   \n",
       "40   2019-06-08          4   Saturday          23        2019   \n",
       "41   2019-06-08          7   Saturday          23        2019   \n",
       "42   2019-06-08          8   Saturday          23        2019   \n",
       "43   2019-06-12          4  Wednesday          24        2019   \n",
       "44   2019-06-12          7  Wednesday          24        2019   \n",
       "45   2019-06-12          8  Wednesday          24        2019   \n",
       "46   2019-06-15          4   Saturday          24        2019   \n",
       "47   2019-06-15          7   Saturday          24        2019   \n",
       "48   2019-06-15          8   Saturday          24        2019   \n",
       "49   2019-06-19          4  Wednesday          25        2019   \n",
       "50   2019-06-19          7  Wednesday          25        2019   \n",
       "51   2019-06-19          8  Wednesday          25        2019   \n",
       "52   2019-06-22          4   Saturday          25        2019   \n",
       "53   2019-06-22          7   Saturday          25        2019   \n",
       "54   2019-06-22          8   Saturday          25        2019   \n",
       "55   2019-06-26          4  Wednesday          26        2019   \n",
       "56   2019-06-26          7  Wednesday          26        2019   \n",
       "57   2019-06-26          8  Wednesday          26        2019   \n",
       "58   2019-06-29          4   Saturday          26        2019   \n",
       "59   2019-06-29          7   Saturday          26        2019   \n",
       "60   2019-06-29          8   Saturday          26        2019   \n",
       "61   2019-07-03          4  Wednesday          27        2019   \n",
       "62   2019-07-03          7  Wednesday          27        2019   \n",
       "63   2019-07-03          8  Wednesday          27        2019   \n",
       "64   2019-07-06          4   Saturday          27        2019   \n",
       "65   2019-07-06          7   Saturday          27        2019   \n",
       "66   2019-07-06          8   Saturday          27        2019   \n",
       "67   2019-07-10          4  Wednesday          28        2019   \n",
       "68   2019-07-10          7  Wednesday          28        2019   \n",
       "69   2019-07-10          8  Wednesday          28        2019   \n",
       "70   2019-07-13          4   Saturday          28        2019   \n",
       "71   2019-07-13          7   Saturday          28        2019   \n",
       "72   2019-07-13          8   Saturday          28        2019   \n",
       "73   2019-07-17          4  Wednesday          29        2019   \n",
       "74   2019-07-17          7  Wednesday          29        2019   \n",
       "75   2019-07-17          8  Wednesday          29        2019   \n",
       "76   2019-07-20          4   Saturday          29        2019   \n",
       "77   2019-07-20          7   Saturday          29        2019   \n",
       "78   2019-07-20          8   Saturday          29        2019   \n",
       "79   2019-07-24          4  Wednesday          30        2019   \n",
       "80   2019-07-24          7  Wednesday          30        2019   \n",
       "81   2019-07-24          8  Wednesday          30        2019   \n",
       "82   2019-07-27          4   Saturday          30        2019   \n",
       "83   2019-07-27          7   Saturday          30        2019   \n",
       "84   2019-07-27          8   Saturday          30        2019   \n",
       "85   2019-07-31          4  Wednesday          31        2019   \n",
       "86   2019-07-31          7  Wednesday          31        2019   \n",
       "87   2019-07-31          8  Wednesday          31        2019   \n",
       "88   2019-08-03          4   Saturday          31        2019   \n",
       "89   2019-08-03          7   Saturday          31        2019   \n",
       "90   2019-08-03          8   Saturday          31        2019   \n",
       "91   2019-08-07          4  Wednesday          32        2019   \n",
       "92   2019-08-07          7  Wednesday          32        2019   \n",
       "93   2019-08-07          8  Wednesday          32        2019   \n",
       "94   2019-08-10          4   Saturday          32        2019   \n",
       "95   2019-08-10          7   Saturday          32        2019   \n",
       "96   2019-08-10          8   Saturday          32        2019   \n",
       "97   2019-08-14          4  Wednesday          33        2019   \n",
       "98   2019-08-14          7  Wednesday          33        2019   \n",
       "99   2019-08-14          8  Wednesday          33        2019   \n",
       "100  2019-08-17          4   Saturday          33        2019   \n",
       "101  2019-08-17          7   Saturday          33        2019   \n",
       "102  2019-08-17          8   Saturday          33        2019   \n",
       "103  2019-08-21          4  Wednesday          34        2019   \n",
       "104  2019-08-21          7  Wednesday          34        2019   \n",
       "105  2019-08-21          8  Wednesday          34        2019   \n",
       "106  2019-08-24          4   Saturday          34        2019   \n",
       "107  2019-08-24          7   Saturday          34        2019   \n",
       "108  2019-08-24          8   Saturday          34        2019   \n",
       "109  2019-08-28          4  Wednesday          35        2019   \n",
       "110  2019-08-28          7  Wednesday          35        2019   \n",
       "111  2019-08-28          8  Wednesday          35        2019   \n",
       "112  2019-08-31          4   Saturday          35        2019   \n",
       "113  2019-08-31          7   Saturday          35        2019   \n",
       "114  2019-08-31          8   Saturday          35        2019   \n",
       "115  2019-09-04          4  Wednesday          36        2019   \n",
       "116  2019-09-04          7  Wednesday          36        2019   \n",
       "117  2019-09-04          8  Wednesday          36        2019   \n",
       "118  2019-09-07          4   Saturday          36        2019   \n",
       "119  2019-09-07          7   Saturday          36        2019   \n",
       "120  2019-09-07          8   Saturday          36        2019   \n",
       "121  2019-09-11          4  Wednesday          37        2019   \n",
       "122  2019-09-11          7  Wednesday          37        2019   \n",
       "123  2019-09-11          8  Wednesday          37        2019   \n",
       "124  2019-09-14          4   Saturday          37        2019   \n",
       "125  2019-09-14          7   Saturday          37        2019   \n",
       "126  2019-09-14          8   Saturday          37        2019   \n",
       "127  2019-09-18          4  Wednesday          38        2019   \n",
       "128  2019-09-18          7  Wednesday          38        2019   \n",
       "129  2019-09-18          8  Wednesday          38        2019   \n",
       "130  2019-09-21          4   Saturday          38        2019   \n",
       "131  2019-09-21          7   Saturday          38        2019   \n",
       "132  2019-09-21          8   Saturday          38        2019   \n",
       "133  2019-09-25          4  Wednesday          39        2019   \n",
       "134  2019-09-25          7  Wednesday          39        2019   \n",
       "135  2019-09-25          8  Wednesday          39        2019   \n",
       "136  2019-09-28          4   Saturday          39        2019   \n",
       "137  2019-09-28          7   Saturday          39        2019   \n",
       "138  2019-09-28          8   Saturday          39        2019   \n",
       "139  2019-10-02          7  Wednesday          40        2019   \n",
       "140  2019-10-02          8  Wednesday          40        2019   \n",
       "141  2019-10-05          7   Saturday          40        2019   \n",
       "142  2019-10-05          8   Saturday          40        2019   \n",
       "143  2019-10-09          7  Wednesday          41        2019   \n",
       "144  2019-10-09          8  Wednesday          41        2019   \n",
       "145  2019-10-12          7   Saturday          41        2019   \n",
       "146  2019-10-12          8   Saturday          41        2019   \n",
       "147  2019-10-16          7  Wednesday          42        2019   \n",
       "148  2019-10-16          8  Wednesday          42        2019   \n",
       "149  2019-10-19          7   Saturday          42        2019   \n",
       "150  2019-10-19          8   Saturday          42        2019   \n",
       "151  2019-10-23          7  Wednesday          43        2019   \n",
       "152  2019-10-23          8  Wednesday          43        2019   \n",
       "153  2019-10-26          7   Saturday          43        2019   \n",
       "154  2019-10-26          8   Saturday          43        2019   \n",
       "155  2019-10-30          7  Wednesday          44        2019   \n",
       "156  2019-10-30          8  Wednesday          44        2019   \n",
       "157  2019-11-02          7   Saturday          44        2019   \n",
       "158  2019-11-02          8   Saturday          44        2019   \n",
       "159  2019-11-06          7  Wednesday          45        2019   \n",
       "160  2019-11-06          8  Wednesday          45        2019   \n",
       "161  2019-11-09          7   Saturday          45        2019   \n",
       "162  2019-11-09          8   Saturday          45        2019   \n",
       "163  2019-11-13          7  Wednesday          46        2019   \n",
       "164  2019-11-13          8  Wednesday          46        2019   \n",
       "165  2019-11-16          7   Saturday          46        2019   \n",
       "166  2019-11-16          8   Saturday          46        2019   \n",
       "167  2019-11-20          7  Wednesday          47        2019   \n",
       "168  2019-11-20          8  Wednesday          47        2019   \n",
       "169  2019-11-23          7   Saturday          47        2019   \n",
       "170  2019-11-23          8   Saturday          47        2019   \n",
       "171  2019-11-27          7  Wednesday          48        2019   \n",
       "172  2019-11-27          8  Wednesday          48        2019   \n",
       "173  2019-11-30          7   Saturday          48        2019   \n",
       "174  2019-11-30          8   Saturday          48        2019   \n",
       "175  2019-12-04          7  Wednesday          49        2019   \n",
       "176  2019-12-04          8  Wednesday          49        2019   \n",
       "177  2019-12-07          7   Saturday          49        2019   \n",
       "178  2019-12-07          8   Saturday          49        2019   \n",
       "179  2019-12-11          7  Wednesday          50        2019   \n",
       "180  2019-12-11          8  Wednesday          50        2019   \n",
       "181  2019-12-14          7   Saturday          50        2019   \n",
       "182  2019-12-14          8   Saturday          50        2019   \n",
       "183  2019-12-18          7  Wednesday          51        2019   \n",
       "184  2019-12-18          8  Wednesday          51        2019   \n",
       "185  2019-12-21          7   Saturday          51        2019   \n",
       "186  2019-12-21          8   Saturday          51        2019   \n",
       "187  2019-12-25          7  Wednesday          52        2019   \n",
       "188  2019-12-25          8  Wednesday          52        2019   \n",
       "189  2019-12-28          7   Saturday          52        2019   \n",
       "190  2019-12-28          8   Saturday          52        2019   \n",
       "191  2020-03-04          7  Wednesday          10        2020   \n",
       "192  2020-03-04          8  Wednesday          10        2020   \n",
       "193  2020-03-07          7   Saturday          10        2020   \n",
       "194  2020-03-07          8   Saturday          10        2020   \n",
       "195  2020-03-11          7  Wednesday          11        2020   \n",
       "196  2020-03-11          8  Wednesday          11        2020   \n",
       "197  2020-03-14          7   Saturday          11        2020   \n",
       "198  2020-03-14          8   Saturday          11        2020   \n",
       "199  2020-03-18          7  Wednesday          12        2020   \n",
       "200  2020-03-18          8  Wednesday          12        2020   \n",
       "201  2020-03-21          7   Saturday          12        2020   \n",
       "202  2020-03-21          8   Saturday          12        2020   \n",
       "203  2020-03-25          7  Wednesday          13        2020   \n",
       "204  2020-03-25          8  Wednesday          13        2020   \n",
       "205  2020-03-28          7   Saturday          13        2020   \n",
       "206  2020-03-28          8   Saturday          13        2020   \n",
       "207  2020-04-01          7  Wednesday          14        2020   \n",
       "208  2020-04-01          8  Wednesday          14        2020   \n",
       "209  2020-04-04          7   Saturday          14        2020   \n",
       "210  2020-04-04          8   Saturday          14        2020   \n",
       "211  2020-04-08          7  Wednesday          15        2020   \n",
       "212  2020-04-08          8  Wednesday          15        2020   \n",
       "213  2020-04-11          7   Saturday          15        2020   \n",
       "214  2020-04-11          8   Saturday          15        2020   \n",
       "215  2020-04-15          7  Wednesday          16        2020   \n",
       "216  2020-04-15          8  Wednesday          16        2020   \n",
       "217  2020-04-18          7   Saturday          16        2020   \n",
       "218  2020-04-18          8   Saturday          16        2020   \n",
       "219  2020-04-22          7  Wednesday          17        2020   \n",
       "220  2020-04-22          8  Wednesday          17        2020   \n",
       "221  2020-04-25          7   Saturday          17        2020   \n",
       "222  2020-04-25          8   Saturday          17        2020   \n",
       "223  2020-04-29          7  Wednesday          18        2020   \n",
       "224  2020-04-29          8  Wednesday          18        2020   \n",
       "225  2020-05-02          7   Saturday          18        2020   \n",
       "226  2020-05-02          8   Saturday          18        2020   \n",
       "227  2020-05-06          7  Wednesday          19        2020   \n",
       "228  2020-05-06          8  Wednesday          19        2020   \n",
       "229  2020-05-09          7   Saturday          19        2020   \n",
       "230  2020-05-09          8   Saturday          19        2020   \n",
       "231  2020-05-13          7  Wednesday          20        2020   \n",
       "232  2020-05-13          8  Wednesday          20        2020   \n",
       "233  2020-05-16          7   Saturday          20        2020   \n",
       "234  2020-05-16          8   Saturday          20        2020   \n",
       "235  2020-05-20          7  Wednesday          21        2020   \n",
       "236  2020-05-20          8  Wednesday          21        2020   \n",
       "237  2020-05-23          7   Saturday          21        2020   \n",
       "238  2020-05-23          8   Saturday          21        2020   \n",
       "239  2020-05-27          7  Wednesday          22        2020   \n",
       "240  2020-05-27          8  Wednesday          22        2020   \n",
       "241  2020-05-30          7   Saturday          22        2020   \n",
       "242  2020-05-30          8   Saturday          22        2020   \n",
       "243  2020-06-03          4  Wednesday          23        2020   \n",
       "244  2020-06-03          7  Wednesday          23        2020   \n",
       "245  2020-06-03          8  Wednesday          23        2020   \n",
       "246  2020-06-06          4   Saturday          23        2020   \n",
       "247  2020-06-06          7   Saturday          23        2020   \n",
       "248  2020-06-06          8   Saturday          23        2020   \n",
       "249  2020-06-10          4  Wednesday          24        2020   \n",
       "250  2020-06-10          7  Wednesday          24        2020   \n",
       "251  2020-06-10          8  Wednesday          24        2020   \n",
       "252  2020-06-13          4   Saturday          24        2020   \n",
       "253  2020-06-13          7   Saturday          24        2020   \n",
       "254  2020-06-13          8   Saturday          24        2020   \n",
       "255  2020-06-17          4  Wednesday          25        2020   \n",
       "256  2020-06-17          7  Wednesday          25        2020   \n",
       "257  2020-06-17          8  Wednesday          25        2020   \n",
       "258  2020-06-20          4   Saturday          25        2020   \n",
       "259  2020-06-20          7   Saturday          25        2020   \n",
       "260  2020-06-20          8   Saturday          25        2020   \n",
       "261  2020-06-24          4  Wednesday          26        2020   \n",
       "262  2020-06-24          7  Wednesday          26        2020   \n",
       "263  2020-06-24          8  Wednesday          26        2020   \n",
       "264  2020-06-27          4   Saturday          26        2020   \n",
       "265  2020-06-27          7   Saturday          26        2020   \n",
       "266  2020-06-27          8   Saturday          26        2020   \n",
       "267  2020-07-01          4  Wednesday          27        2020   \n",
       "268  2020-07-01          7  Wednesday          27        2020   \n",
       "269  2020-07-01          8  Wednesday          27        2020   \n",
       "270  2020-07-04          4   Saturday          27        2020   \n",
       "271  2020-07-04          7   Saturday          27        2020   \n",
       "272  2020-07-04          8   Saturday          27        2020   \n",
       "273  2020-07-08          4  Wednesday          28        2020   \n",
       "274  2020-07-08          7  Wednesday          28        2020   \n",
       "275  2020-07-08          8  Wednesday          28        2020   \n",
       "276  2020-07-11          4   Saturday          28        2020   \n",
       "277  2020-07-11          7   Saturday          28        2020   \n",
       "278  2020-07-11          8   Saturday          28        2020   \n",
       "279  2020-07-15          4  Wednesday          29        2020   \n",
       "280  2020-07-15          7  Wednesday          29        2020   \n",
       "281  2020-07-15          8  Wednesday          29        2020   \n",
       "282  2020-07-18          4   Saturday          29        2020   \n",
       "283  2020-07-18          7   Saturday          29        2020   \n",
       "284  2020-07-18          8   Saturday          29        2020   \n",
       "285  2020-07-22          4  Wednesday          30        2020   \n",
       "286  2020-07-22          7  Wednesday          30        2020   \n",
       "287  2020-07-22          8  Wednesday          30        2020   \n",
       "288  2020-07-25          4   Saturday          30        2020   \n",
       "289  2020-07-25          7   Saturday          30        2020   \n",
       "290  2020-07-25          8   Saturday          30        2020   \n",
       "291  2020-07-29          4  Wednesday          31        2020   \n",
       "292  2020-07-29          7  Wednesday          31        2020   \n",
       "293  2020-07-29          8  Wednesday          31        2020   \n",
       "294  2020-08-01          4   Saturday          31        2020   \n",
       "295  2020-08-01          7   Saturday          31        2020   \n",
       "296  2020-08-01          8   Saturday          31        2020   \n",
       "297  2020-08-05          4  Wednesday          32        2020   \n",
       "298  2020-08-05          7  Wednesday          32        2020   \n",
       "299  2020-08-05          8  Wednesday          32        2020   \n",
       "300  2020-08-08          4   Saturday          32        2020   \n",
       "301  2020-08-08          7   Saturday          32        2020   \n",
       "302  2020-08-08          8   Saturday          32        2020   \n",
       "303  2020-08-12          4  Wednesday          33        2020   \n",
       "304  2020-08-12          7  Wednesday          33        2020   \n",
       "305  2020-08-12          8  Wednesday          33        2020   \n",
       "306  2020-08-15          4   Saturday          33        2020   \n",
       "307  2020-08-15          7   Saturday          33        2020   \n",
       "308  2020-08-15          8   Saturday          33        2020   \n",
       "309  2020-08-19          4  Wednesday          34        2020   \n",
       "310  2020-08-19          7  Wednesday          34        2020   \n",
       "311  2020-08-19          8  Wednesday          34        2020   \n",
       "312  2020-08-22          4   Saturday          34        2020   \n",
       "313  2020-08-22          7   Saturday          34        2020   \n",
       "314  2020-08-22          8   Saturday          34        2020   \n",
       "315  2020-08-26          4  Wednesday          35        2020   \n",
       "316  2020-08-26          7  Wednesday          35        2020   \n",
       "317  2020-08-26          8  Wednesday          35        2020   \n",
       "318  2020-08-29          4   Saturday          35        2020   \n",
       "319  2020-08-29          7   Saturday          35        2020   \n",
       "320  2020-08-29          8   Saturday          35        2020   \n",
       "321  2020-09-02          4  Wednesday          36        2020   \n",
       "322  2020-09-02          7  Wednesday          36        2020   \n",
       "323  2020-09-02          8  Wednesday          36        2020   \n",
       "324  2020-09-05          4   Saturday          36        2020   \n",
       "325  2020-09-05          7   Saturday          36        2020   \n",
       "326  2020-09-05          8   Saturday          36        2020   \n",
       "327  2020-09-09          4  Wednesday          37        2020   \n",
       "328  2020-09-09          7  Wednesday          37        2020   \n",
       "329  2020-09-09          8  Wednesday          37        2020   \n",
       "330  2020-09-12          4   Saturday          37        2020   \n",
       "331  2020-09-12          7   Saturday          37        2020   \n",
       "332  2020-09-12          8   Saturday          37        2020   \n",
       "333  2020-09-16          4  Wednesday          38        2020   \n",
       "334  2020-09-16          7  Wednesday          38        2020   \n",
       "335  2020-09-16          8  Wednesday          38        2020   \n",
       "336  2020-09-19          4   Saturday          38        2020   \n",
       "337  2020-09-19          7   Saturday          38        2020   \n",
       "338  2020-09-19          8   Saturday          38        2020   \n",
       "339  2020-09-23          4  Wednesday          39        2020   \n",
       "340  2020-09-23          7  Wednesday          39        2020   \n",
       "341  2020-09-23          8  Wednesday          39        2020   \n",
       "342  2020-09-26          4   Saturday          39        2020   \n",
       "343  2020-09-26          7   Saturday          39        2020   \n",
       "344  2020-09-26          8   Saturday          39        2020   \n",
       "345  2020-09-30          4  Wednesday          40        2020   \n",
       "346  2020-09-30          7  Wednesday          40        2020   \n",
       "347  2020-09-30          8  Wednesday          40        2020   \n",
       "348  2020-10-03          7   Saturday          40        2020   \n",
       "349  2020-10-03          8   Saturday          40        2020   \n",
       "350  2020-10-07          7  Wednesday          41        2020   \n",
       "351  2020-10-07          8  Wednesday          41        2020   \n",
       "352  2020-10-10          7   Saturday          41        2020   \n",
       "353  2020-10-10          8   Saturday          41        2020   \n",
       "\n",
       "         vendor_name     vendor_type  Total_Sales  \n",
       "0    Marco's Peppers   Fresh Focused        76.00  \n",
       "1       Annie's Pies  Prepared Foods       399.00  \n",
       "2    Marco's Peppers   Fresh Focused       112.00  \n",
       "3       Annie's Pies  Prepared Foods       437.50  \n",
       "4    Marco's Peppers   Fresh Focused        92.00  \n",
       "5       Annie's Pies  Prepared Foods       413.00  \n",
       "6    Marco's Peppers   Fresh Focused       104.00  \n",
       "7       Annie's Pies  Prepared Foods       273.00  \n",
       "8    Marco's Peppers   Fresh Focused       122.50  \n",
       "9       Annie's Pies  Prepared Foods       371.00  \n",
       "10   Marco's Peppers   Fresh Focused        80.00  \n",
       "11      Annie's Pies  Prepared Foods       375.50  \n",
       "12   Marco's Peppers   Fresh Focused       108.00  \n",
       "13      Annie's Pies  Prepared Foods       258.00  \n",
       "14   Marco's Peppers   Fresh Focused       101.50  \n",
       "15      Annie's Pies  Prepared Foods       343.00  \n",
       "16   Marco's Peppers   Fresh Focused        84.00  \n",
       "17      Annie's Pies  Prepared Foods       439.00  \n",
       "18   Marco's Peppers   Fresh Focused       100.00  \n",
       "19      Annie's Pies  Prepared Foods       397.00  \n",
       "20   Marco's Peppers   Fresh Focused        88.00  \n",
       "21      Annie's Pies  Prepared Foods       406.50  \n",
       "22   Marco's Peppers   Fresh Focused       116.00  \n",
       "23      Annie's Pies  Prepared Foods       364.00  \n",
       "24   Marco's Peppers   Fresh Focused        52.00  \n",
       "25      Annie's Pies  Prepared Foods       380.50  \n",
       "26   Marco's Peppers   Fresh Focused       120.00  \n",
       "27      Annie's Pies  Prepared Foods       367.50  \n",
       "28   Marco's Peppers   Fresh Focused        88.00  \n",
       "29      Annie's Pies  Prepared Foods       408.00  \n",
       "30   Marco's Peppers   Fresh Focused        48.00  \n",
       "31      Annie's Pies  Prepared Foods       336.50  \n",
       "32   Marco's Peppers   Fresh Focused       120.00  \n",
       "33      Annie's Pies  Prepared Foods       513.00  \n",
       "34    Fields of Corn   Fresh Focused         8.60  \n",
       "35   Marco's Peppers   Fresh Focused        88.00  \n",
       "36      Annie's Pies  Prepared Foods       395.50  \n",
       "37    Fields of Corn   Fresh Focused        15.50  \n",
       "38   Marco's Peppers   Fresh Focused       100.00  \n",
       "39      Annie's Pies  Prepared Foods       255.00  \n",
       "40    Fields of Corn   Fresh Focused        27.00  \n",
       "41   Marco's Peppers   Fresh Focused        68.00  \n",
       "42      Annie's Pies  Prepared Foods       354.00  \n",
       "43    Fields of Corn   Fresh Focused        22.70  \n",
       "44   Marco's Peppers   Fresh Focused       104.00  \n",
       "45      Annie's Pies  Prepared Foods       387.00  \n",
       "46    Fields of Corn   Fresh Focused        24.50  \n",
       "47   Marco's Peppers   Fresh Focused       124.00  \n",
       "48      Annie's Pies  Prepared Foods       423.00  \n",
       "49    Fields of Corn   Fresh Focused        26.20  \n",
       "50   Marco's Peppers   Fresh Focused        84.00  \n",
       "51      Annie's Pies  Prepared Foods       318.50  \n",
       "52    Fields of Corn   Fresh Focused        15.00  \n",
       "53   Marco's Peppers   Fresh Focused        76.00  \n",
       "54      Annie's Pies  Prepared Foods       349.50  \n",
       "55    Fields of Corn   Fresh Focused        37.10  \n",
       "56   Marco's Peppers   Fresh Focused       116.00  \n",
       "57      Annie's Pies  Prepared Foods       315.00  \n",
       "58    Fields of Corn   Fresh Focused        18.60  \n",
       "59   Marco's Peppers   Fresh Focused        72.00  \n",
       "60      Annie's Pies  Prepared Foods       493.00  \n",
       "61    Fields of Corn   Fresh Focused         9.10  \n",
       "62   Marco's Peppers   Fresh Focused       227.67  \n",
       "63      Annie's Pies  Prepared Foods       258.00  \n",
       "64    Fields of Corn   Fresh Focused        17.10  \n",
       "65   Marco's Peppers   Fresh Focused       205.51  \n",
       "66      Annie's Pies  Prepared Foods       297.00  \n",
       "67    Fields of Corn   Fresh Focused        19.70  \n",
       "68   Marco's Peppers   Fresh Focused       160.02  \n",
       "69      Annie's Pies  Prepared Foods       246.50  \n",
       "70    Fields of Corn   Fresh Focused         9.50  \n",
       "71   Marco's Peppers   Fresh Focused       192.38  \n",
       "72      Annie's Pies  Prepared Foods       266.50  \n",
       "73    Fields of Corn   Fresh Focused        14.10  \n",
       "74   Marco's Peppers   Fresh Focused       241.87  \n",
       "75      Annie's Pies  Prepared Foods       292.00  \n",
       "76    Fields of Corn   Fresh Focused        20.00  \n",
       "77   Marco's Peppers   Fresh Focused       138.80  \n",
       "78      Annie's Pies  Prepared Foods       359.50  \n",
       "79    Fields of Corn   Fresh Focused        15.10  \n",
       "80   Marco's Peppers   Fresh Focused       140.94  \n",
       "81      Annie's Pies  Prepared Foods       240.50  \n",
       "82    Fields of Corn   Fresh Focused        17.00  \n",
       "83   Marco's Peppers   Fresh Focused       193.90  \n",
       "84      Annie's Pies  Prepared Foods       400.00  \n",
       "85    Fields of Corn   Fresh Focused        16.10  \n",
       "86   Marco's Peppers   Fresh Focused       190.23  \n",
       "87      Annie's Pies  Prepared Foods       169.50  \n",
       "88    Fields of Corn   Fresh Focused        17.50  \n",
       "89   Marco's Peppers   Fresh Focused       119.89  \n",
       "90      Annie's Pies  Prepared Foods       313.50  \n",
       "91    Fields of Corn   Fresh Focused        15.80  \n",
       "92   Marco's Peppers   Fresh Focused       185.31  \n",
       "93      Annie's Pies  Prepared Foods       244.50  \n",
       "94    Fields of Corn   Fresh Focused        17.00  \n",
       "95   Marco's Peppers   Fresh Focused       207.17  \n",
       "96      Annie's Pies  Prepared Foods       201.00  \n",
       "97    Fields of Corn   Fresh Focused        14.00  \n",
       "98   Marco's Peppers   Fresh Focused       224.97  \n",
       "99      Annie's Pies  Prepared Foods       321.50  \n",
       "100   Fields of Corn   Fresh Focused        15.70  \n",
       "101  Marco's Peppers   Fresh Focused        90.82  \n",
       "102     Annie's Pies  Prepared Foods       364.00  \n",
       "103   Fields of Corn   Fresh Focused         5.50  \n",
       "104  Marco's Peppers   Fresh Focused       128.91  \n",
       "105     Annie's Pies  Prepared Foods       202.50  \n",
       "106   Fields of Corn   Fresh Focused        18.80  \n",
       "107  Marco's Peppers   Fresh Focused       120.04  \n",
       "108     Annie's Pies  Prepared Foods       336.50  \n",
       "109   Fields of Corn   Fresh Focused        13.10  \n",
       "110  Marco's Peppers   Fresh Focused       185.05  \n",
       "111     Annie's Pies  Prepared Foods       349.50  \n",
       "112   Fields of Corn   Fresh Focused        22.50  \n",
       "113  Marco's Peppers   Fresh Focused       177.14  \n",
       "114     Annie's Pies  Prepared Foods       351.50  \n",
       "115   Fields of Corn   Fresh Focused        12.50  \n",
       "116  Marco's Peppers   Fresh Focused       194.09  \n",
       "117     Annie's Pies  Prepared Foods       251.50  \n",
       "118   Fields of Corn   Fresh Focused        11.70  \n",
       "119  Marco's Peppers   Fresh Focused       135.35  \n",
       "120     Annie's Pies  Prepared Foods       234.00  \n",
       "121   Fields of Corn   Fresh Focused        14.10  \n",
       "122  Marco's Peppers   Fresh Focused       263.69  \n",
       "123     Annie's Pies  Prepared Foods       258.00  \n",
       "124   Fields of Corn   Fresh Focused        13.50  \n",
       "125  Marco's Peppers   Fresh Focused       135.52  \n",
       "126     Annie's Pies  Prepared Foods       442.50  \n",
       "127   Fields of Corn   Fresh Focused        12.00  \n",
       "128  Marco's Peppers   Fresh Focused       101.86  \n",
       "129     Annie's Pies  Prepared Foods       305.50  \n",
       "130   Fields of Corn   Fresh Focused        10.50  \n",
       "131  Marco's Peppers   Fresh Focused       193.18  \n",
       "132     Annie's Pies  Prepared Foods       212.00  \n",
       "133   Fields of Corn   Fresh Focused        10.50  \n",
       "134  Marco's Peppers   Fresh Focused        62.87  \n",
       "135     Annie's Pies  Prepared Foods       356.00  \n",
       "136   Fields of Corn   Fresh Focused        11.50  \n",
       "137  Marco's Peppers   Fresh Focused       149.67  \n",
       "138     Annie's Pies  Prepared Foods       310.50  \n",
       "139  Marco's Peppers   Fresh Focused       100.00  \n",
       "140     Annie's Pies  Prepared Foods       395.00  \n",
       "141  Marco's Peppers   Fresh Focused        88.00  \n",
       "142     Annie's Pies  Prepared Foods       429.50  \n",
       "143  Marco's Peppers   Fresh Focused        88.00  \n",
       "144     Annie's Pies  Prepared Foods       367.50  \n",
       "145  Marco's Peppers   Fresh Focused       116.00  \n",
       "146     Annie's Pies  Prepared Foods       393.50  \n",
       "147  Marco's Peppers   Fresh Focused        76.00  \n",
       "148     Annie's Pies  Prepared Foods       372.00  \n",
       "149  Marco's Peppers   Fresh Focused       100.00  \n",
       "150     Annie's Pies  Prepared Foods       493.00  \n",
       "151  Marco's Peppers   Fresh Focused       160.00  \n",
       "152     Annie's Pies  Prepared Foods       338.00  \n",
       "153  Marco's Peppers   Fresh Focused       104.00  \n",
       "154     Annie's Pies  Prepared Foods       414.50  \n",
       "155  Marco's Peppers   Fresh Focused       140.00  \n",
       "156     Annie's Pies  Prepared Foods       346.00  \n",
       "157  Marco's Peppers   Fresh Focused       160.00  \n",
       "158     Annie's Pies  Prepared Foods       361.00  \n",
       "159  Marco's Peppers   Fresh Focused       136.00  \n",
       "160     Annie's Pies  Prepared Foods       346.50  \n",
       "161  Marco's Peppers   Fresh Focused        88.00  \n",
       "162     Annie's Pies  Prepared Foods       370.50  \n",
       "163  Marco's Peppers   Fresh Focused        72.00  \n",
       "164     Annie's Pies  Prepared Foods       344.50  \n",
       "165  Marco's Peppers   Fresh Focused        80.00  \n",
       "166     Annie's Pies  Prepared Foods       652.50  \n",
       "167  Marco's Peppers   Fresh Focused       136.00  \n",
       "168     Annie's Pies  Prepared Foods       720.50  \n",
       "169  Marco's Peppers   Fresh Focused        44.00  \n",
       "170     Annie's Pies  Prepared Foods       749.00  \n",
       "171  Marco's Peppers   Fresh Focused        16.00  \n",
       "172     Annie's Pies  Prepared Foods       582.00  \n",
       "173  Marco's Peppers   Fresh Focused       108.00  \n",
       "174     Annie's Pies  Prepared Foods       634.50  \n",
       "175  Marco's Peppers   Fresh Focused        76.00  \n",
       "176     Annie's Pies  Prepared Foods       449.00  \n",
       "177  Marco's Peppers   Fresh Focused       136.00  \n",
       "178     Annie's Pies  Prepared Foods       437.50  \n",
       "179  Marco's Peppers   Fresh Focused       128.00  \n",
       "180     Annie's Pies  Prepared Foods       344.50  \n",
       "181  Marco's Peppers   Fresh Focused        96.00  \n",
       "182     Annie's Pies  Prepared Foods       352.50  \n",
       "183  Marco's Peppers   Fresh Focused       124.00  \n",
       "184     Annie's Pies  Prepared Foods       855.00  \n",
       "185  Marco's Peppers   Fresh Focused        92.00  \n",
       "186     Annie's Pies  Prepared Foods       665.50  \n",
       "187  Marco's Peppers   Fresh Focused        80.00  \n",
       "188     Annie's Pies  Prepared Foods       701.50  \n",
       "189  Marco's Peppers   Fresh Focused        76.00  \n",
       "190     Annie's Pies  Prepared Foods       765.00  \n",
       "191  Marco's Peppers   Fresh Focused        20.00  \n",
       "192     Annie's Pies  Prepared Foods       344.50  \n",
       "193  Marco's Peppers   Fresh Focused       112.00  \n",
       "194     Annie's Pies  Prepared Foods       380.50  \n",
       "195  Marco's Peppers   Fresh Focused       116.00  \n",
       "196     Annie's Pies  Prepared Foods       398.50  \n",
       "197  Marco's Peppers   Fresh Focused       112.00  \n",
       "198     Annie's Pies  Prepared Foods       317.00  \n",
       "199  Marco's Peppers   Fresh Focused        80.00  \n",
       "200     Annie's Pies  Prepared Foods       465.50  \n",
       "201  Marco's Peppers   Fresh Focused       120.00  \n",
       "202     Annie's Pies  Prepared Foods       333.50  \n",
       "203  Marco's Peppers   Fresh Focused       128.00  \n",
       "204     Annie's Pies  Prepared Foods       349.50  \n",
       "205  Marco's Peppers   Fresh Focused       126.00  \n",
       "206     Annie's Pies  Prepared Foods       330.00  \n",
       "207  Marco's Peppers   Fresh Focused       112.00  \n",
       "208     Annie's Pies  Prepared Foods       237.00  \n",
       "209  Marco's Peppers   Fresh Focused        68.00  \n",
       "210     Annie's Pies  Prepared Foods       204.50  \n",
       "211  Marco's Peppers   Fresh Focused       100.00  \n",
       "212     Annie's Pies  Prepared Foods       279.00  \n",
       "213  Marco's Peppers   Fresh Focused       128.00  \n",
       "214     Annie's Pies  Prepared Foods       214.00  \n",
       "215  Marco's Peppers   Fresh Focused       108.00  \n",
       "216     Annie's Pies  Prepared Foods       202.50  \n",
       "217  Marco's Peppers   Fresh Focused       144.00  \n",
       "218     Annie's Pies  Prepared Foods       139.00  \n",
       "219  Marco's Peppers   Fresh Focused       126.00  \n",
       "220     Annie's Pies  Prepared Foods       280.50  \n",
       "221  Marco's Peppers   Fresh Focused       122.50  \n",
       "222     Annie's Pies  Prepared Foods       183.00  \n",
       "223  Marco's Peppers   Fresh Focused       108.00  \n",
       "224     Annie's Pies  Prepared Foods       266.00  \n",
       "225  Marco's Peppers   Fresh Focused        68.00  \n",
       "226     Annie's Pies  Prepared Foods       398.50  \n",
       "227  Marco's Peppers   Fresh Focused       120.00  \n",
       "228     Annie's Pies  Prepared Foods       393.50  \n",
       "229  Marco's Peppers   Fresh Focused        94.50  \n",
       "230     Annie's Pies  Prepared Foods       486.50  \n",
       "231  Marco's Peppers   Fresh Focused        12.00  \n",
       "232     Annie's Pies  Prepared Foods       367.50  \n",
       "233  Marco's Peppers   Fresh Focused        48.00  \n",
       "234     Annie's Pies  Prepared Foods       392.00  \n",
       "235  Marco's Peppers   Fresh Focused       104.00  \n",
       "236     Annie's Pies  Prepared Foods       326.50  \n",
       "237  Marco's Peppers   Fresh Focused        88.00  \n",
       "238     Annie's Pies  Prepared Foods       280.50  \n",
       "239  Marco's Peppers   Fresh Focused        88.00  \n",
       "240     Annie's Pies  Prepared Foods       353.00  \n",
       "241  Marco's Peppers   Fresh Focused       124.00  \n",
       "242     Annie's Pies  Prepared Foods       390.00  \n",
       "243   Fields of Corn   Fresh Focused        17.50  \n",
       "244  Marco's Peppers   Fresh Focused        16.00  \n",
       "245     Annie's Pies  Prepared Foods       364.50  \n",
       "246   Fields of Corn   Fresh Focused        21.50  \n",
       "247  Marco's Peppers   Fresh Focused        84.00  \n",
       "248     Annie's Pies  Prepared Foods       395.00  \n",
       "249   Fields of Corn   Fresh Focused        17.00  \n",
       "250  Marco's Peppers   Fresh Focused       132.00  \n",
       "251     Annie's Pies  Prepared Foods       333.00  \n",
       "252   Fields of Corn   Fresh Focused        19.50  \n",
       "253  Marco's Peppers   Fresh Focused       108.00  \n",
       "254     Annie's Pies  Prepared Foods       395.00  \n",
       "255   Fields of Corn   Fresh Focused        19.10  \n",
       "256  Marco's Peppers   Fresh Focused       124.00  \n",
       "257     Annie's Pies  Prepared Foods       333.00  \n",
       "258   Fields of Corn   Fresh Focused        25.00  \n",
       "259  Marco's Peppers   Fresh Focused        94.50  \n",
       "260     Annie's Pies  Prepared Foods       284.00  \n",
       "261   Fields of Corn   Fresh Focused        34.60  \n",
       "262  Marco's Peppers   Fresh Focused        80.00  \n",
       "263     Annie's Pies  Prepared Foods       405.00  \n",
       "264   Fields of Corn   Fresh Focused        17.40  \n",
       "265  Marco's Peppers   Fresh Focused       120.00  \n",
       "266     Annie's Pies  Prepared Foods       383.50  \n",
       "267   Fields of Corn   Fresh Focused        12.60  \n",
       "268  Marco's Peppers   Fresh Focused       201.65  \n",
       "269     Annie's Pies  Prepared Foods       152.00  \n",
       "270   Fields of Corn   Fresh Focused        25.70  \n",
       "271  Marco's Peppers   Fresh Focused       234.88  \n",
       "272     Annie's Pies  Prepared Foods       194.00  \n",
       "273   Fields of Corn   Fresh Focused         8.00  \n",
       "274  Marco's Peppers   Fresh Focused       227.70  \n",
       "275     Annie's Pies  Prepared Foods       253.00  \n",
       "276   Fields of Corn   Fresh Focused        26.80  \n",
       "277  Marco's Peppers   Fresh Focused       182.80  \n",
       "278     Annie's Pies  Prepared Foods       224.00  \n",
       "279   Fields of Corn   Fresh Focused        29.00  \n",
       "280  Marco's Peppers   Fresh Focused       249.46  \n",
       "281     Annie's Pies  Prepared Foods       168.50  \n",
       "282   Fields of Corn   Fresh Focused         6.60  \n",
       "283  Marco's Peppers   Fresh Focused       161.49  \n",
       "284     Annie's Pies  Prepared Foods       284.00  \n",
       "285   Fields of Corn   Fresh Focused        23.70  \n",
       "286  Marco's Peppers   Fresh Focused       166.49  \n",
       "287     Annie's Pies  Prepared Foods       162.00  \n",
       "288   Fields of Corn   Fresh Focused        18.10  \n",
       "289  Marco's Peppers   Fresh Focused       220.75  \n",
       "290     Annie's Pies  Prepared Foods       235.00  \n",
       "291   Fields of Corn   Fresh Focused        18.00  \n",
       "292  Marco's Peppers   Fresh Focused       149.16  \n",
       "293     Annie's Pies  Prepared Foods       186.50  \n",
       "294   Fields of Corn   Fresh Focused         7.00  \n",
       "295  Marco's Peppers   Fresh Focused       108.62  \n",
       "296     Annie's Pies  Prepared Foods       248.00  \n",
       "297   Fields of Corn   Fresh Focused        19.70  \n",
       "298  Marco's Peppers   Fresh Focused       174.73  \n",
       "299     Annie's Pies  Prepared Foods       219.00  \n",
       "300   Fields of Corn   Fresh Focused        19.50  \n",
       "301  Marco's Peppers   Fresh Focused       216.28  \n",
       "302     Annie's Pies  Prepared Foods       338.00  \n",
       "303   Fields of Corn   Fresh Focused        22.00  \n",
       "304  Marco's Peppers   Fresh Focused       197.83  \n",
       "305     Annie's Pies  Prepared Foods       318.50  \n",
       "306   Fields of Corn   Fresh Focused        24.60  \n",
       "307  Marco's Peppers   Fresh Focused       198.96  \n",
       "308     Annie's Pies  Prepared Foods       287.00  \n",
       "309   Fields of Corn   Fresh Focused        30.00  \n",
       "310  Marco's Peppers   Fresh Focused       141.42  \n",
       "311     Annie's Pies  Prepared Foods       405.00  \n",
       "312   Fields of Corn   Fresh Focused        19.80  \n",
       "313  Marco's Peppers   Fresh Focused       210.20  \n",
       "314     Annie's Pies  Prepared Foods       189.50  \n",
       "315   Fields of Corn   Fresh Focused        21.50  \n",
       "316  Marco's Peppers   Fresh Focused       211.58  \n",
       "317     Annie's Pies  Prepared Foods       282.50  \n",
       "318   Fields of Corn   Fresh Focused        10.00  \n",
       "319  Marco's Peppers   Fresh Focused       237.41  \n",
       "320     Annie's Pies  Prepared Foods       201.00  \n",
       "321   Fields of Corn   Fresh Focused        11.60  \n",
       "322  Marco's Peppers   Fresh Focused       213.63  \n",
       "323     Annie's Pies  Prepared Foods       320.00  \n",
       "324   Fields of Corn   Fresh Focused        17.00  \n",
       "325  Marco's Peppers   Fresh Focused       208.85  \n",
       "326     Annie's Pies  Prepared Foods       134.00  \n",
       "327   Fields of Corn   Fresh Focused        22.00  \n",
       "328  Marco's Peppers   Fresh Focused       238.38  \n",
       "329     Annie's Pies  Prepared Foods       415.00  \n",
       "330   Fields of Corn   Fresh Focused         3.00  \n",
       "331  Marco's Peppers   Fresh Focused       179.12  \n",
       "332     Annie's Pies  Prepared Foods       139.00  \n",
       "333   Fields of Corn   Fresh Focused         7.50  \n",
       "334  Marco's Peppers   Fresh Focused       190.87  \n",
       "335     Annie's Pies  Prepared Foods       351.00  \n",
       "336   Fields of Corn   Fresh Focused         8.00  \n",
       "337  Marco's Peppers   Fresh Focused       297.42  \n",
       "338     Annie's Pies  Prepared Foods       240.00  \n",
       "339   Fields of Corn   Fresh Focused        18.10  \n",
       "340  Marco's Peppers   Fresh Focused       109.12  \n",
       "341     Annie's Pies  Prepared Foods       294.00  \n",
       "342   Fields of Corn   Fresh Focused        11.00  \n",
       "343  Marco's Peppers   Fresh Focused       192.20  \n",
       "344     Annie's Pies  Prepared Foods       241.50  \n",
       "345   Fields of Corn   Fresh Focused        12.60  \n",
       "346  Marco's Peppers   Fresh Focused       251.66  \n",
       "347     Annie's Pies  Prepared Foods       260.00  \n",
       "348  Marco's Peppers   Fresh Focused        68.00  \n",
       "349     Annie's Pies  Prepared Foods       454.00  \n",
       "350  Marco's Peppers   Fresh Focused        91.00  \n",
       "351     Annie's Pies  Prepared Foods       501.50  \n",
       "352  Marco's Peppers   Fresh Focused       105.00  \n",
       "353     Annie's Pies  Prepared Foods       490.00  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "select\n",
    "    cp.market_date,\n",
    "    cp.vendor_id,\n",
    "    mdi.market_day,\n",
    "    mdi.market_week,\n",
    "    mdi.market_year,\n",
    "    v.vendor_name,\n",
    "    v.vendor_type,\n",
    "    round(sum(cp.quantity * cp.cost_to_customer_per_qty),2)  as Total_Sales\n",
    "from\n",
    "    customer_purchases as cp\n",
    "    join vendor as v\n",
    "        on v.vendor_id = cp.vendor_id\n",
    "    join market_date_info as mdi\n",
    "        on mdi.market_date = cp.market_date\n",
    "group by cp.market_date , cp.vendor_id\n",
    "order by cp.market_date , cp.vendor_id\n",
    ";\n",
    "    \n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b13520c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# COMMON TABLE EXPRESSIONS: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b4397ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market_year</th>\n",
       "      <th>monthname(market_date)</th>\n",
       "      <th>vendor_name</th>\n",
       "      <th>vendor_type</th>\n",
       "      <th>sum(Total_Sales)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>796.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2870.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>816.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3612.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>195.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>832.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3290.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>137.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1691.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2529.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>139.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1439.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2684.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>96.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1236.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2370.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>972.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3549.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>840.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>4761.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>808.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>4570.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>814.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2919.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1016.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2005.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>746.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3388.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>171.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>758.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2893.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>168.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1794.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1859.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>174.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1697.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2488.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>110.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1881.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2394.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>264.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1445.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   market_year monthname(market_date)      vendor_name     vendor_type  \\\n",
       "0         2019                  April  Marco's Peppers   Fresh Focused   \n",
       "1         2019                  April     Annie's Pies  Prepared Foods   \n",
       "2         2019                    May  Marco's Peppers   Fresh Focused   \n",
       "3         2019                    May     Annie's Pies  Prepared Foods   \n",
       "4         2019                   June   Fields of Corn   Fresh Focused   \n",
       "5         2019                   June  Marco's Peppers   Fresh Focused   \n",
       "6         2019                   June     Annie's Pies  Prepared Foods   \n",
       "7         2019                   July   Fields of Corn   Fresh Focused   \n",
       "8         2019                   July  Marco's Peppers   Fresh Focused   \n",
       "9         2019                   July     Annie's Pies  Prepared Foods   \n",
       "10        2019                 August   Fields of Corn   Fresh Focused   \n",
       "11        2019                 August  Marco's Peppers   Fresh Focused   \n",
       "12        2019                 August     Annie's Pies  Prepared Foods   \n",
       "13        2019              September   Fields of Corn   Fresh Focused   \n",
       "14        2019              September  Marco's Peppers   Fresh Focused   \n",
       "15        2019              September     Annie's Pies  Prepared Foods   \n",
       "16        2019                October  Marco's Peppers   Fresh Focused   \n",
       "17        2019                October     Annie's Pies  Prepared Foods   \n",
       "18        2019               November  Marco's Peppers   Fresh Focused   \n",
       "19        2019               November     Annie's Pies  Prepared Foods   \n",
       "20        2019               December  Marco's Peppers   Fresh Focused   \n",
       "21        2019               December     Annie's Pies  Prepared Foods   \n",
       "22        2020                  March  Marco's Peppers   Fresh Focused   \n",
       "23        2020                  March     Annie's Pies  Prepared Foods   \n",
       "24        2020                  April  Marco's Peppers   Fresh Focused   \n",
       "25        2020                  April     Annie's Pies  Prepared Foods   \n",
       "26        2020                    May  Marco's Peppers   Fresh Focused   \n",
       "27        2020                    May     Annie's Pies  Prepared Foods   \n",
       "28        2020                   June   Fields of Corn   Fresh Focused   \n",
       "29        2020                   June  Marco's Peppers   Fresh Focused   \n",
       "30        2020                   June     Annie's Pies  Prepared Foods   \n",
       "31        2020                   July   Fields of Corn   Fresh Focused   \n",
       "32        2020                   July  Marco's Peppers   Fresh Focused   \n",
       "33        2020                   July     Annie's Pies  Prepared Foods   \n",
       "34        2020                 August   Fields of Corn   Fresh Focused   \n",
       "35        2020                 August  Marco's Peppers   Fresh Focused   \n",
       "36        2020                 August     Annie's Pies  Prepared Foods   \n",
       "37        2020              September   Fields of Corn   Fresh Focused   \n",
       "38        2020              September  Marco's Peppers   Fresh Focused   \n",
       "39        2020              September     Annie's Pies  Prepared Foods   \n",
       "40        2020                October  Marco's Peppers   Fresh Focused   \n",
       "41        2020                October     Annie's Pies  Prepared Foods   \n",
       "\n",
       "    sum(Total_Sales)  \n",
       "0             796.00  \n",
       "1            2870.00  \n",
       "2             816.00  \n",
       "3            3612.00  \n",
       "4             195.20  \n",
       "5             832.00  \n",
       "6            3290.50  \n",
       "7             137.70  \n",
       "8            1691.32  \n",
       "9            2529.50  \n",
       "10            139.90  \n",
       "11           1439.30  \n",
       "12           2684.50  \n",
       "13             96.30  \n",
       "14           1236.23  \n",
       "15           2370.00  \n",
       "16            972.00  \n",
       "17           3549.00  \n",
       "18            840.00  \n",
       "19           4761.00  \n",
       "20            808.00  \n",
       "21           4570.50  \n",
       "22            814.00  \n",
       "23           2919.00  \n",
       "24           1016.50  \n",
       "25           2005.50  \n",
       "26            746.50  \n",
       "27           3388.00  \n",
       "28            171.60  \n",
       "29            758.50  \n",
       "30           2893.00  \n",
       "31            168.50  \n",
       "32           1794.38  \n",
       "33           1859.00  \n",
       "34            174.10  \n",
       "35           1697.03  \n",
       "36           2488.50  \n",
       "37            110.80  \n",
       "38           1881.25  \n",
       "39           2394.50  \n",
       "40            264.00  \n",
       "41           1445.50  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "WITH\n",
    "\n",
    "    purchase_details_by_day_by_vendor\n",
    "                    AS\n",
    "                    (\n",
    "                    select\n",
    "                        cp.market_date,\n",
    "                        cp.vendor_id,\n",
    "                        mdi.market_day,\n",
    "                        mdi.market_week,\n",
    "                        mdi.market_year,\n",
    "                        v.vendor_name,\n",
    "                        v.vendor_type,\n",
    "                        round(sum(cp.quantity * cp.cost_to_customer_per_qty),2)  as Total_Sales\n",
    "                    from\n",
    "                        customer_purchases as cp\n",
    "                        join vendor as v\n",
    "                            on v.vendor_id = cp.vendor_id\n",
    "                        join market_date_info as mdi\n",
    "                            on mdi.market_date = cp.market_date\n",
    "                    group by cp.market_date , cp.vendor_id\n",
    "                    order by cp.market_date , cp.vendor_id\n",
    "                    ),\n",
    "                    \n",
    "    purchase_details_monthly\n",
    "                    AS\n",
    "                    (\n",
    "                    select \n",
    "                        market_year,\n",
    "                        monthname(market_date),\n",
    "                        vendor_name,\n",
    "                        vendor_type,\n",
    "                        sum(Total_Sales)\n",
    "                    from\n",
    "                        purchase_details_by_day_by_vendor\n",
    "                    group by \n",
    "                        market_year,monthname(market_date),vendor_id\n",
    "                        \n",
    "                    )\n",
    "                    \n",
    "                    \n",
    "SELECT * FROM purchase_details_monthly\n",
    "\n",
    ";\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ee9b0527",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>vendor_id</th>\n",
       "      <th>market_year</th>\n",
       "      <th>monthname(mdi.market_date)</th>\n",
       "      <th>vendor_name</th>\n",
       "      <th>vendor_type</th>\n",
       "      <th>Total_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>796.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2870.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>816.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3612.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>195.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>832.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3290.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>137.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1691.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2529.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>139.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1439.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2684.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>96.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1236.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2370.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>972.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3549.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>840.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>4761.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7</td>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>808.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>4570.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>814.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2919.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1016.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2005.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>746.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>3388.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>171.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>758.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2893.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>168.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1794.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1859.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>174.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1697.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2488.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>110.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>1881.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>2394.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>264.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>8</td>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1445.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    vendor_id market_year monthname(mdi.market_date)      vendor_name  \\\n",
       "0           7        2019                      April  Marco's Peppers   \n",
       "1           8        2019                      April     Annie's Pies   \n",
       "2           7        2019                        May  Marco's Peppers   \n",
       "3           8        2019                        May     Annie's Pies   \n",
       "4           4        2019                       June   Fields of Corn   \n",
       "5           7        2019                       June  Marco's Peppers   \n",
       "6           8        2019                       June     Annie's Pies   \n",
       "7           4        2019                       July   Fields of Corn   \n",
       "8           7        2019                       July  Marco's Peppers   \n",
       "9           8        2019                       July     Annie's Pies   \n",
       "10          4        2019                     August   Fields of Corn   \n",
       "11          7        2019                     August  Marco's Peppers   \n",
       "12          8        2019                     August     Annie's Pies   \n",
       "13          4        2019                  September   Fields of Corn   \n",
       "14          7        2019                  September  Marco's Peppers   \n",
       "15          8        2019                  September     Annie's Pies   \n",
       "16          7        2019                    October  Marco's Peppers   \n",
       "17          8        2019                    October     Annie's Pies   \n",
       "18          7        2019                   November  Marco's Peppers   \n",
       "19          8        2019                   November     Annie's Pies   \n",
       "20          7        2019                   December  Marco's Peppers   \n",
       "21          8        2019                   December     Annie's Pies   \n",
       "22          7        2020                      March  Marco's Peppers   \n",
       "23          8        2020                      March     Annie's Pies   \n",
       "24          7        2020                      April  Marco's Peppers   \n",
       "25          8        2020                      April     Annie's Pies   \n",
       "26          7        2020                        May  Marco's Peppers   \n",
       "27          8        2020                        May     Annie's Pies   \n",
       "28          4        2020                       June   Fields of Corn   \n",
       "29          7        2020                       June  Marco's Peppers   \n",
       "30          8        2020                       June     Annie's Pies   \n",
       "31          4        2020                       July   Fields of Corn   \n",
       "32          7        2020                       July  Marco's Peppers   \n",
       "33          8        2020                       July     Annie's Pies   \n",
       "34          4        2020                     August   Fields of Corn   \n",
       "35          7        2020                     August  Marco's Peppers   \n",
       "36          8        2020                     August     Annie's Pies   \n",
       "37          4        2020                  September   Fields of Corn   \n",
       "38          7        2020                  September  Marco's Peppers   \n",
       "39          8        2020                  September     Annie's Pies   \n",
       "40          7        2020                    October  Marco's Peppers   \n",
       "41          8        2020                    October     Annie's Pies   \n",
       "\n",
       "       vendor_type  Total_Sales  \n",
       "0    Fresh Focused       796.00  \n",
       "1   Prepared Foods      2870.00  \n",
       "2    Fresh Focused       816.00  \n",
       "3   Prepared Foods      3612.00  \n",
       "4    Fresh Focused       195.20  \n",
       "5    Fresh Focused       832.00  \n",
       "6   Prepared Foods      3290.50  \n",
       "7    Fresh Focused       137.70  \n",
       "8    Fresh Focused      1691.30  \n",
       "9   Prepared Foods      2529.50  \n",
       "10   Fresh Focused       139.90  \n",
       "11   Fresh Focused      1439.31  \n",
       "12  Prepared Foods      2684.50  \n",
       "13   Fresh Focused        96.30  \n",
       "14   Fresh Focused      1236.24  \n",
       "15  Prepared Foods      2370.00  \n",
       "16   Fresh Focused       972.00  \n",
       "17  Prepared Foods      3549.00  \n",
       "18   Fresh Focused       840.00  \n",
       "19  Prepared Foods      4761.00  \n",
       "20   Fresh Focused       808.00  \n",
       "21  Prepared Foods      4570.50  \n",
       "22   Fresh Focused       814.00  \n",
       "23  Prepared Foods      2919.00  \n",
       "24   Fresh Focused      1016.50  \n",
       "25  Prepared Foods      2005.50  \n",
       "26   Fresh Focused       746.50  \n",
       "27  Prepared Foods      3388.00  \n",
       "28   Fresh Focused       171.60  \n",
       "29   Fresh Focused       758.50  \n",
       "30  Prepared Foods      2893.00  \n",
       "31   Fresh Focused       168.50  \n",
       "32   Fresh Focused      1794.38  \n",
       "33  Prepared Foods      1859.00  \n",
       "34   Fresh Focused       174.10  \n",
       "35   Fresh Focused      1697.04  \n",
       "36  Prepared Foods      2488.50  \n",
       "37   Fresh Focused       110.80  \n",
       "38   Fresh Focused      1881.26  \n",
       "39  Prepared Foods      2394.50  \n",
       "40   Fresh Focused       264.00  \n",
       "41  Prepared Foods      1445.50  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select\n",
    "    cp.vendor_id,\n",
    "    mdi.market_year,\n",
    "    monthname(mdi.market_date),\n",
    "    v.vendor_name,\n",
    "    v.vendor_type,\n",
    "    round(sum(cp.quantity * cp.cost_to_customer_per_qty),2)  as Total_Sales\n",
    "from\n",
    "    customer_purchases as cp\n",
    "    join vendor as v\n",
    "        on v.vendor_id = cp.vendor_id\n",
    "    join market_date_info as mdi\n",
    "        on mdi.market_date = cp.market_date\n",
    "group by mdi.market_year,monthname(mdi.market_date),cp.vendor_id\n",
    "order by cp.market_date , cp.vendor_id\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "887d2928",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "# select\n",
    "# *\n",
    "# from\n",
    "# customer_purchases;\n",
    "\n",
    "\n",
    "\n",
    "# \"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "126b7d95",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "357d22e1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "822fb1fa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f67d36a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65ea71a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec6100e3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "631ad04d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55c77154",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e019f3be",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9be6f30",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9dd9f21b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2abff688",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "965aab00",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f55af34",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed4f0419",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d91b2ba2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccb99067",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "4d8c531c",
   "metadata": {},
   "source": [
    "#  MySQL Views"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "390c9afe",
   "metadata": {},
   "source": [
    "### Advantages of MySQL Views\n",
    "- MySQL views bring the following advantages.\n",
    "\n",
    "1) Simplify complex query\n",
    "\n",
    "- Views help simplify complex queries. If you have any frequently used complex query, you can create a view based on it so that you can reference to the view by using a simple SELECT statement instead of typing the query all over again.\n",
    "\n",
    "2) Make the business logic consistent\n",
    "\n",
    "- Suppose you have to repeatedly write the same formula in every query.  Or you have a query that has complex business logic. To make this logic consistent across queries, you can use a view to store the calculation and hide the complexity.\n",
    "\n",
    "3) Add extra security layers\n",
    "\n",
    "- A table may expose a lot of data including sensitive data such as personal and banking information.\n",
    "\n",
    "- By using views and privileges, you can limit which data users can access by exposing only the necessary data to them.\n",
    "\n",
    "- For example, the table employees may contain SSN and address information, which should be accessible by the HR department only.\n",
    "\n",
    "- To expose general information such as first name, last name, and gender to the General Administration (GA) department, you can create a view based on these columns and grant the users of the GA department to the view, not the entire table employees .\n",
    "\n",
    "4) Enable backward compatibility\n",
    "\n",
    "- In legacy systems, views can enable backward compatibility.\n",
    "\n",
    "- Suppose, you want to normalize a big table into many smaller ones. And you don’t want to impact the current applications that reference the table.\n",
    "\n",
    "- In this case, you can create a view whose name is the same as the table based on the new tables so that all applications can reference the view as if it were a table.\n",
    "\n",
    "- Note that a view and table cannot have the same name so you need to drop the table first before creating a view whose name is the same as the deleted table.\n",
    "\n",
    "#### Managing views in MySQL\n",
    "- Create views – show you how to use the CREATE VIEW statement to create a new view in the database.\n",
    "- Understand view processing algorithms – learn how MySQL process a view.\n",
    "- Create updatable views – learn how to create updatable views.\n",
    "- Create views with a WITH CHECK OPTION – ensure the consistency of views  using the WITH CHECK OPTION clause.\n",
    "- LOCAL & CASCADED and WITH CHECK OPTION – specify the scope of the check with LOCAL and CASCADED options.\n",
    "- Drop views – guide you on how to remove one or more existing views.\n",
    "- Show views – provide ways to find views in a database.\n",
    "- Rename views – change the name of a view to another."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a39c629",
   "metadata": {},
   "source": [
    "### MySQL CREATE VIEW :\n",
    "\n",
    "\n",
    "\n",
    "##### introduction to MySQL CREATE VIEW statement:\n",
    "- The CREATE VIEW statement creates a new view in the database. Here is the basic syntax of the CREATE VIEW statement:\n",
    "\n",
    "        CREATE [OR REPLACE] VIEW [db_name.]view_name [(column_list)]\n",
    "        AS\n",
    "          select-statement;\n",
    "        Code language: SQL (Structured Query Language) (sql)\n",
    "\n",
    "- In this syntax:\n",
    "\n",
    "- First, specify the name of the view that you want to create after the CREATE VIEW keywords. The name of the view is unique in a database. Because views and tables in the same database share the same namespace, the name a view cannot the same as the name of an existing table.\n",
    "\n",
    "- Second, use the OR REPLACE option if you want to replace an existing view if the view already exists. If the view does not exist, the OR REPLACE has no effect.\n",
    "\n",
    "- Third, specify a list of columns for the view. By default, the columns of the view are derived from the select list of the SELECT statement. However, you can explicitly specify the column list for the view by listing them in parentheses following the view name.\n",
    "\n",
    "- Finally,  specify a SELECT statement that defines the view. The SELECT  statement can query data from tables or views. MySQL allows you to use the ORDER BY clause in the SELECT statement but ignores it if you select from the view with a query that has its own ORDER BY clause.\n",
    "\n",
    "- By default, the CREATE VIEW statement creates a view in the current database. If you want to explicitly create a view in a given database, you can qualify the view name with the database name."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "960d5714",
   "metadata": {},
   "source": [
    "ref : https://www.mysqltutorial.org/create-sql-views-mysql.aspx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ded43345",
   "metadata": {},
   "source": [
    "    Introduction to MySQL ALTER VIEW statement\n",
    "    The MySQL ALTER VIEW statement changes the definition of an existing view. The syntax of the ALTER VIEW is similar to the CREATE VIEW statement:\n",
    "\n",
    "    ALTER\n",
    "        [ALGORITHM = {UNDEFINED | MERGE | TEMPTABLE}]\n",
    "        VIEW view_name [(column_list)]\n",
    "        AS select_statement;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b506378a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6f8badaf",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "    CREATE VIEW  farmers_vendor_total_weekly_sales   AS\n",
    "\n",
    "        SELECT \n",
    "\n",
    "            year(cp.market_date) as market_year,\n",
    "            monthname(cp.market_date) as market_month,\n",
    "            week(cp.market_date) as market_week,\n",
    "            cp.vendor_id,\n",
    "            v.vendor_name,\n",
    "            v.vendor_type,\n",
    "            sum(cp.quantity*cp.cost_to_customer_per_qty) as Total_Sales_weekly\n",
    "\n",
    "        FROM\n",
    "            customer_purchases as cp\n",
    "            join vendor as v\n",
    "                on v.vendor_id = cp.vendor_id\n",
    "\n",
    "        GROUP BY \n",
    "            cp.vendor_id,year(cp.market_date),monthname(cp.market_date),week(cp.market_date)\n",
    "        ORDER BY \n",
    "            year(cp.market_date),month(cp.market_date),week(cp.market_date)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "402e61bc",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market_year</th>\n",
       "      <th>market_month</th>\n",
       "      <th>market_week</th>\n",
       "      <th>vendor_id</th>\n",
       "      <th>vendor_name</th>\n",
       "      <th>vendor_type</th>\n",
       "      <th>Total_Sales_weekly</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>188.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>836.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>196.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>686.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>202.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>746.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>209.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>601.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>184.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>836.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>204.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>770.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>172.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>748.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>136.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>744.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>120.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>513.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>88.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>395.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>8.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>168.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>609.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>42.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>228.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>810.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>47.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>160.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>668.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>41.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>188.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>808.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>55.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>433.1772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>555.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>26.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>352.3942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>513.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>29.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>380.6623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>651.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>34.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>334.8386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>640.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>32.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>190.2302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>169.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>16.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>119.8910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>313.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>17.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>392.4851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>445.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>32.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>315.7929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>685.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>29.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>248.9480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>539.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>24.3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>362.1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>701.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>35.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>329.4426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>485.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>24.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>399.2072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>700.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>27.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>295.0449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>517.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>212.5476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>666.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>22.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>188.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>39</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>824.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>40</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>204.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>40</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>761.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>41</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>176.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>41</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>865.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>264.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>752.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>43</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>140.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>43</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>346.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>43</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>160.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>43</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>361.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>224.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>717.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>45</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>152.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>997.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>46</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>180.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>46</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1469.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>47</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>124.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>47</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1216.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>48</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>212.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>48</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>886.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>49</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>224.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>49</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>697.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>50</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>216.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1520.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>51</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>156.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>51</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>1466.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>132.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>725.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>228.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>715.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>200.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>799.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>254.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>679.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>180.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>441.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>228.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>493.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>252.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>341.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>248.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>463.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>266.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>398.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>214.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>880.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>60.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>759.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>192.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>607.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>212.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>743.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>100.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>759.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>39.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>240.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>728.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>36.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>218.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>617.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>44.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>200.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>788.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>52.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>436.5304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>346.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>38.3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>410.4991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>477.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>34.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>410.9435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>452.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>35.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>387.2445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>397.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>41.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>149.1588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>186.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>18.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>108.6177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>248.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>7.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>391.0096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>557.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>39.2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>396.7915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>605.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>46.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>351.6282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>594.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>49.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>448.9937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>483.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>31.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>422.4818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>454.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>28.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>417.5049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>554.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>36</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>25.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>488.2951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>591.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>37</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>15.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>301.3150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>535.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>38</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>29.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>251.6641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>39</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>260.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>39</td>\n",
       "      <td>4</td>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>12.6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>68.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>39</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>454.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>40</td>\n",
       "      <td>7</td>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>Fresh Focused</td>\n",
       "      <td>196.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>40</td>\n",
       "      <td>8</td>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>Prepared Foods</td>\n",
       "      <td>991.5000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     market_year market_month  market_week  vendor_id      vendor_name  \\\n",
       "0           2019        April           13          7  Marco's Peppers   \n",
       "1           2019        April           13          8     Annie's Pies   \n",
       "2           2019        April           14          7  Marco's Peppers   \n",
       "3           2019        April           14          8     Annie's Pies   \n",
       "4           2019        April           15          7  Marco's Peppers   \n",
       "5           2019        April           15          8     Annie's Pies   \n",
       "6           2019        April           16          7  Marco's Peppers   \n",
       "7           2019        April           16          8     Annie's Pies   \n",
       "8           2019          May           17          7  Marco's Peppers   \n",
       "9           2019          May           17          8     Annie's Pies   \n",
       "10          2019          May           18          7  Marco's Peppers   \n",
       "11          2019          May           18          8     Annie's Pies   \n",
       "12          2019          May           19          7  Marco's Peppers   \n",
       "13          2019          May           19          8     Annie's Pies   \n",
       "14          2019          May           20          7  Marco's Peppers   \n",
       "15          2019          May           20          8     Annie's Pies   \n",
       "16          2019          May           21          7  Marco's Peppers   \n",
       "17          2019          May           21          8     Annie's Pies   \n",
       "18          2019         June           21          7  Marco's Peppers   \n",
       "19          2019         June           21          8     Annie's Pies   \n",
       "20          2019         June           21          4   Fields of Corn   \n",
       "21          2019         June           22          7  Marco's Peppers   \n",
       "22          2019         June           22          8     Annie's Pies   \n",
       "23          2019         June           22          4   Fields of Corn   \n",
       "24          2019         June           23          7  Marco's Peppers   \n",
       "25          2019         June           23          8     Annie's Pies   \n",
       "26          2019         June           23          4   Fields of Corn   \n",
       "27          2019         June           24          7  Marco's Peppers   \n",
       "28          2019         June           24          8     Annie's Pies   \n",
       "29          2019         June           24          4   Fields of Corn   \n",
       "30          2019         June           25          7  Marco's Peppers   \n",
       "31          2019         June           25          8     Annie's Pies   \n",
       "32          2019         June           25          4   Fields of Corn   \n",
       "33          2019         July           26          7  Marco's Peppers   \n",
       "34          2019         July           26          8     Annie's Pies   \n",
       "35          2019         July           26          4   Fields of Corn   \n",
       "36          2019         July           27          7  Marco's Peppers   \n",
       "37          2019         July           27          8     Annie's Pies   \n",
       "38          2019         July           27          4   Fields of Corn   \n",
       "39          2019         July           28          7  Marco's Peppers   \n",
       "40          2019         July           28          8     Annie's Pies   \n",
       "41          2019         July           28          4   Fields of Corn   \n",
       "42          2019         July           29          7  Marco's Peppers   \n",
       "43          2019         July           29          8     Annie's Pies   \n",
       "44          2019         July           29          4   Fields of Corn   \n",
       "45          2019         July           30          7  Marco's Peppers   \n",
       "46          2019         July           30          8     Annie's Pies   \n",
       "47          2019         July           30          4   Fields of Corn   \n",
       "48          2019       August           30          7  Marco's Peppers   \n",
       "49          2019       August           30          8     Annie's Pies   \n",
       "50          2019       August           30          4   Fields of Corn   \n",
       "51          2019       August           31          7  Marco's Peppers   \n",
       "52          2019       August           31          8     Annie's Pies   \n",
       "53          2019       August           31          4   Fields of Corn   \n",
       "54          2019       August           32          7  Marco's Peppers   \n",
       "55          2019       August           32          8     Annie's Pies   \n",
       "56          2019       August           32          4   Fields of Corn   \n",
       "57          2019       August           33          7  Marco's Peppers   \n",
       "58          2019       August           33          8     Annie's Pies   \n",
       "59          2019       August           33          4   Fields of Corn   \n",
       "60          2019       August           34          7  Marco's Peppers   \n",
       "61          2019       August           34          8     Annie's Pies   \n",
       "62          2019       August           34          4   Fields of Corn   \n",
       "63          2019    September           35          7  Marco's Peppers   \n",
       "64          2019    September           35          8     Annie's Pies   \n",
       "65          2019    September           35          4   Fields of Corn   \n",
       "66          2019    September           36          7  Marco's Peppers   \n",
       "67          2019    September           36          8     Annie's Pies   \n",
       "68          2019    September           36          4   Fields of Corn   \n",
       "69          2019    September           37          7  Marco's Peppers   \n",
       "70          2019    September           37          8     Annie's Pies   \n",
       "71          2019    September           37          4   Fields of Corn   \n",
       "72          2019    September           38          7  Marco's Peppers   \n",
       "73          2019    September           38          8     Annie's Pies   \n",
       "74          2019    September           38          4   Fields of Corn   \n",
       "75          2019      October           39          7  Marco's Peppers   \n",
       "76          2019      October           39          8     Annie's Pies   \n",
       "77          2019      October           40          7  Marco's Peppers   \n",
       "78          2019      October           40          8     Annie's Pies   \n",
       "79          2019      October           41          7  Marco's Peppers   \n",
       "80          2019      October           41          8     Annie's Pies   \n",
       "81          2019      October           42          7  Marco's Peppers   \n",
       "82          2019      October           42          8     Annie's Pies   \n",
       "83          2019      October           43          7  Marco's Peppers   \n",
       "84          2019      October           43          8     Annie's Pies   \n",
       "85          2019     November           43          7  Marco's Peppers   \n",
       "86          2019     November           43          8     Annie's Pies   \n",
       "87          2019     November           44          7  Marco's Peppers   \n",
       "88          2019     November           44          8     Annie's Pies   \n",
       "89          2019     November           45          7  Marco's Peppers   \n",
       "90          2019     November           45          8     Annie's Pies   \n",
       "91          2019     November           46          7  Marco's Peppers   \n",
       "92          2019     November           46          8     Annie's Pies   \n",
       "93          2019     November           47          7  Marco's Peppers   \n",
       "94          2019     November           47          8     Annie's Pies   \n",
       "95          2019     December           48          7  Marco's Peppers   \n",
       "96          2019     December           48          8     Annie's Pies   \n",
       "97          2019     December           49          7  Marco's Peppers   \n",
       "98          2019     December           49          8     Annie's Pies   \n",
       "99          2019     December           50          7  Marco's Peppers   \n",
       "100         2019     December           50          8     Annie's Pies   \n",
       "101         2019     December           51          7  Marco's Peppers   \n",
       "102         2019     December           51          8     Annie's Pies   \n",
       "103         2020        March            9          7  Marco's Peppers   \n",
       "104         2020        March            9          8     Annie's Pies   \n",
       "105         2020        March           10          7  Marco's Peppers   \n",
       "106         2020        March           10          8     Annie's Pies   \n",
       "107         2020        March           11          7  Marco's Peppers   \n",
       "108         2020        March           11          8     Annie's Pies   \n",
       "109         2020        March           12          7  Marco's Peppers   \n",
       "110         2020        March           12          8     Annie's Pies   \n",
       "111         2020        April           13          7  Marco's Peppers   \n",
       "112         2020        April           13          8     Annie's Pies   \n",
       "113         2020        April           14          7  Marco's Peppers   \n",
       "114         2020        April           14          8     Annie's Pies   \n",
       "115         2020        April           15          7  Marco's Peppers   \n",
       "116         2020        April           15          8     Annie's Pies   \n",
       "117         2020        April           16          7  Marco's Peppers   \n",
       "118         2020        April           16          8     Annie's Pies   \n",
       "119         2020        April           17          7  Marco's Peppers   \n",
       "120         2020        April           17          8     Annie's Pies   \n",
       "121         2020          May           17          7  Marco's Peppers   \n",
       "122         2020          May           17          8     Annie's Pies   \n",
       "123         2020          May           18          7  Marco's Peppers   \n",
       "124         2020          May           18          8     Annie's Pies   \n",
       "125         2020          May           19          7  Marco's Peppers   \n",
       "126         2020          May           19          8     Annie's Pies   \n",
       "127         2020          May           20          7  Marco's Peppers   \n",
       "128         2020          May           20          8     Annie's Pies   \n",
       "129         2020          May           21          7  Marco's Peppers   \n",
       "130         2020          May           21          8     Annie's Pies   \n",
       "131         2020         June           22          7  Marco's Peppers   \n",
       "132         2020         June           22          8     Annie's Pies   \n",
       "133         2020         June           22          4   Fields of Corn   \n",
       "134         2020         June           23          7  Marco's Peppers   \n",
       "135         2020         June           23          8     Annie's Pies   \n",
       "136         2020         June           23          4   Fields of Corn   \n",
       "137         2020         June           24          7  Marco's Peppers   \n",
       "138         2020         June           24          8     Annie's Pies   \n",
       "139         2020         June           24          4   Fields of Corn   \n",
       "140         2020         June           25          7  Marco's Peppers   \n",
       "141         2020         June           25          8     Annie's Pies   \n",
       "142         2020         June           25          4   Fields of Corn   \n",
       "143         2020         July           26          7  Marco's Peppers   \n",
       "144         2020         July           26          8     Annie's Pies   \n",
       "145         2020         July           26          4   Fields of Corn   \n",
       "146         2020         July           27          7  Marco's Peppers   \n",
       "147         2020         July           27          8     Annie's Pies   \n",
       "148         2020         July           27          4   Fields of Corn   \n",
       "149         2020         July           28          7  Marco's Peppers   \n",
       "150         2020         July           28          8     Annie's Pies   \n",
       "151         2020         July           28          4   Fields of Corn   \n",
       "152         2020         July           29          7  Marco's Peppers   \n",
       "153         2020         July           29          8     Annie's Pies   \n",
       "154         2020         July           29          4   Fields of Corn   \n",
       "155         2020         July           30          7  Marco's Peppers   \n",
       "156         2020         July           30          8     Annie's Pies   \n",
       "157         2020         July           30          4   Fields of Corn   \n",
       "158         2020       August           30          7  Marco's Peppers   \n",
       "159         2020       August           30          8     Annie's Pies   \n",
       "160         2020       August           30          4   Fields of Corn   \n",
       "161         2020       August           31          7  Marco's Peppers   \n",
       "162         2020       August           31          8     Annie's Pies   \n",
       "163         2020       August           31          4   Fields of Corn   \n",
       "164         2020       August           32          7  Marco's Peppers   \n",
       "165         2020       August           32          8     Annie's Pies   \n",
       "166         2020       August           32          4   Fields of Corn   \n",
       "167         2020       August           33          7  Marco's Peppers   \n",
       "168         2020       August           33          8     Annie's Pies   \n",
       "169         2020       August           33          4   Fields of Corn   \n",
       "170         2020       August           34          7  Marco's Peppers   \n",
       "171         2020       August           34          8     Annie's Pies   \n",
       "172         2020       August           34          4   Fields of Corn   \n",
       "173         2020    September           35          7  Marco's Peppers   \n",
       "174         2020    September           35          8     Annie's Pies   \n",
       "175         2020    September           35          4   Fields of Corn   \n",
       "176         2020    September           36          7  Marco's Peppers   \n",
       "177         2020    September           36          8     Annie's Pies   \n",
       "178         2020    September           36          4   Fields of Corn   \n",
       "179         2020    September           37          7  Marco's Peppers   \n",
       "180         2020    September           37          8     Annie's Pies   \n",
       "181         2020    September           37          4   Fields of Corn   \n",
       "182         2020    September           38          7  Marco's Peppers   \n",
       "183         2020    September           38          8     Annie's Pies   \n",
       "184         2020    September           38          4   Fields of Corn   \n",
       "185         2020    September           39          7  Marco's Peppers   \n",
       "186         2020    September           39          8     Annie's Pies   \n",
       "187         2020    September           39          4   Fields of Corn   \n",
       "188         2020      October           39          7  Marco's Peppers   \n",
       "189         2020      October           39          8     Annie's Pies   \n",
       "190         2020      October           40          7  Marco's Peppers   \n",
       "191         2020      October           40          8     Annie's Pies   \n",
       "\n",
       "        vendor_type  Total_Sales_weekly  \n",
       "0     Fresh Focused            188.0000  \n",
       "1    Prepared Foods            836.5000  \n",
       "2     Fresh Focused            196.0000  \n",
       "3    Prepared Foods            686.0000  \n",
       "4     Fresh Focused            202.5000  \n",
       "5    Prepared Foods            746.5000  \n",
       "6     Fresh Focused            209.5000  \n",
       "7    Prepared Foods            601.0000  \n",
       "8     Fresh Focused            184.0000  \n",
       "9    Prepared Foods            836.0000  \n",
       "10    Fresh Focused            204.0000  \n",
       "11   Prepared Foods            770.5000  \n",
       "12    Fresh Focused            172.0000  \n",
       "13   Prepared Foods            748.0000  \n",
       "14    Fresh Focused            136.0000  \n",
       "15   Prepared Foods            744.5000  \n",
       "16    Fresh Focused            120.0000  \n",
       "17   Prepared Foods            513.0000  \n",
       "18    Fresh Focused             88.0000  \n",
       "19   Prepared Foods            395.5000  \n",
       "20    Fresh Focused              8.6000  \n",
       "21    Fresh Focused            168.0000  \n",
       "22   Prepared Foods            609.0000  \n",
       "23    Fresh Focused             42.5000  \n",
       "24    Fresh Focused            228.0000  \n",
       "25   Prepared Foods            810.0000  \n",
       "26    Fresh Focused             47.2000  \n",
       "27    Fresh Focused            160.0000  \n",
       "28   Prepared Foods            668.0000  \n",
       "29    Fresh Focused             41.2000  \n",
       "30    Fresh Focused            188.0000  \n",
       "31   Prepared Foods            808.0000  \n",
       "32    Fresh Focused             55.7000  \n",
       "33    Fresh Focused            433.1772  \n",
       "34   Prepared Foods            555.0000  \n",
       "35    Fresh Focused             26.2000  \n",
       "36    Fresh Focused            352.3942  \n",
       "37   Prepared Foods            513.0000  \n",
       "38    Fresh Focused             29.2000  \n",
       "39    Fresh Focused            380.6623  \n",
       "40   Prepared Foods            651.5000  \n",
       "41    Fresh Focused             34.1000  \n",
       "42    Fresh Focused            334.8386  \n",
       "43   Prepared Foods            640.5000  \n",
       "44    Fresh Focused             32.1000  \n",
       "45    Fresh Focused            190.2302  \n",
       "46   Prepared Foods            169.5000  \n",
       "47    Fresh Focused             16.1000  \n",
       "48    Fresh Focused            119.8910  \n",
       "49   Prepared Foods            313.5000  \n",
       "50    Fresh Focused             17.5000  \n",
       "51    Fresh Focused            392.4851  \n",
       "52   Prepared Foods            445.5000  \n",
       "53    Fresh Focused             32.8000  \n",
       "54    Fresh Focused            315.7929  \n",
       "55   Prepared Foods            685.5000  \n",
       "56    Fresh Focused             29.7000  \n",
       "57    Fresh Focused            248.9480  \n",
       "58   Prepared Foods            539.0000  \n",
       "59    Fresh Focused             24.3000  \n",
       "60    Fresh Focused            362.1970  \n",
       "61   Prepared Foods            701.0000  \n",
       "62    Fresh Focused             35.6000  \n",
       "63    Fresh Focused            329.4426  \n",
       "64   Prepared Foods            485.5000  \n",
       "65    Fresh Focused             24.2000  \n",
       "66    Fresh Focused            399.2072  \n",
       "67   Prepared Foods            700.5000  \n",
       "68    Fresh Focused             27.6000  \n",
       "69    Fresh Focused            295.0449  \n",
       "70   Prepared Foods            517.5000  \n",
       "71    Fresh Focused             22.5000  \n",
       "72    Fresh Focused            212.5476  \n",
       "73   Prepared Foods            666.5000  \n",
       "74    Fresh Focused             22.0000  \n",
       "75    Fresh Focused            188.0000  \n",
       "76   Prepared Foods            824.5000  \n",
       "77    Fresh Focused            204.0000  \n",
       "78   Prepared Foods            761.0000  \n",
       "79    Fresh Focused            176.0000  \n",
       "80   Prepared Foods            865.0000  \n",
       "81    Fresh Focused            264.0000  \n",
       "82   Prepared Foods            752.5000  \n",
       "83    Fresh Focused            140.0000  \n",
       "84   Prepared Foods            346.0000  \n",
       "85    Fresh Focused            160.0000  \n",
       "86   Prepared Foods            361.0000  \n",
       "87    Fresh Focused            224.0000  \n",
       "88   Prepared Foods            717.0000  \n",
       "89    Fresh Focused            152.0000  \n",
       "90   Prepared Foods            997.0000  \n",
       "91    Fresh Focused            180.0000  \n",
       "92   Prepared Foods           1469.5000  \n",
       "93    Fresh Focused            124.0000  \n",
       "94   Prepared Foods           1216.5000  \n",
       "95    Fresh Focused            212.0000  \n",
       "96   Prepared Foods            886.5000  \n",
       "97    Fresh Focused            224.0000  \n",
       "98   Prepared Foods            697.0000  \n",
       "99    Fresh Focused            216.0000  \n",
       "100  Prepared Foods           1520.5000  \n",
       "101   Fresh Focused            156.0000  \n",
       "102  Prepared Foods           1466.5000  \n",
       "103   Fresh Focused            132.0000  \n",
       "104  Prepared Foods            725.0000  \n",
       "105   Fresh Focused            228.0000  \n",
       "106  Prepared Foods            715.5000  \n",
       "107   Fresh Focused            200.0000  \n",
       "108  Prepared Foods            799.0000  \n",
       "109   Fresh Focused            254.0000  \n",
       "110  Prepared Foods            679.5000  \n",
       "111   Fresh Focused            180.0000  \n",
       "112  Prepared Foods            441.5000  \n",
       "113   Fresh Focused            228.0000  \n",
       "114  Prepared Foods            493.0000  \n",
       "115   Fresh Focused            252.0000  \n",
       "116  Prepared Foods            341.5000  \n",
       "117   Fresh Focused            248.5000  \n",
       "118  Prepared Foods            463.5000  \n",
       "119   Fresh Focused            108.0000  \n",
       "120  Prepared Foods            266.0000  \n",
       "121   Fresh Focused             68.0000  \n",
       "122  Prepared Foods            398.5000  \n",
       "123   Fresh Focused            214.5000  \n",
       "124  Prepared Foods            880.0000  \n",
       "125   Fresh Focused             60.0000  \n",
       "126  Prepared Foods            759.5000  \n",
       "127   Fresh Focused            192.0000  \n",
       "128  Prepared Foods            607.0000  \n",
       "129   Fresh Focused            212.0000  \n",
       "130  Prepared Foods            743.0000  \n",
       "131   Fresh Focused            100.0000  \n",
       "132  Prepared Foods            759.5000  \n",
       "133   Fresh Focused             39.0000  \n",
       "134   Fresh Focused            240.0000  \n",
       "135  Prepared Foods            728.0000  \n",
       "136   Fresh Focused             36.5000  \n",
       "137   Fresh Focused            218.5000  \n",
       "138  Prepared Foods            617.0000  \n",
       "139   Fresh Focused             44.1000  \n",
       "140   Fresh Focused            200.0000  \n",
       "141  Prepared Foods            788.5000  \n",
       "142   Fresh Focused             52.0000  \n",
       "143   Fresh Focused            436.5304  \n",
       "144  Prepared Foods            346.0000  \n",
       "145   Fresh Focused             38.3000  \n",
       "146   Fresh Focused            410.4991  \n",
       "147  Prepared Foods            477.0000  \n",
       "148   Fresh Focused             34.8000  \n",
       "149   Fresh Focused            410.9435  \n",
       "150  Prepared Foods            452.5000  \n",
       "151   Fresh Focused             35.6000  \n",
       "152   Fresh Focused            387.2445  \n",
       "153  Prepared Foods            397.0000  \n",
       "154   Fresh Focused             41.8000  \n",
       "155   Fresh Focused            149.1588  \n",
       "156  Prepared Foods            186.5000  \n",
       "157   Fresh Focused             18.0000  \n",
       "158   Fresh Focused            108.6177  \n",
       "159  Prepared Foods            248.0000  \n",
       "160   Fresh Focused              7.0000  \n",
       "161   Fresh Focused            391.0096  \n",
       "162  Prepared Foods            557.0000  \n",
       "163   Fresh Focused             39.2000  \n",
       "164   Fresh Focused            396.7915  \n",
       "165  Prepared Foods            605.5000  \n",
       "166   Fresh Focused             46.6000  \n",
       "167   Fresh Focused            351.6282  \n",
       "168  Prepared Foods            594.5000  \n",
       "169   Fresh Focused             49.8000  \n",
       "170   Fresh Focused            448.9937  \n",
       "171  Prepared Foods            483.5000  \n",
       "172   Fresh Focused             31.5000  \n",
       "173   Fresh Focused            422.4818  \n",
       "174  Prepared Foods            454.0000  \n",
       "175   Fresh Focused             28.6000  \n",
       "176   Fresh Focused            417.5049  \n",
       "177  Prepared Foods            554.0000  \n",
       "178   Fresh Focused             25.0000  \n",
       "179   Fresh Focused            488.2951  \n",
       "180  Prepared Foods            591.0000  \n",
       "181   Fresh Focused             15.5000  \n",
       "182   Fresh Focused            301.3150  \n",
       "183  Prepared Foods            535.5000  \n",
       "184   Fresh Focused             29.1000  \n",
       "185   Fresh Focused            251.6641  \n",
       "186  Prepared Foods            260.0000  \n",
       "187   Fresh Focused             12.6000  \n",
       "188   Fresh Focused             68.0000  \n",
       "189  Prepared Foods            454.0000  \n",
       "190   Fresh Focused            196.0000  \n",
       "191  Prepared Foods            991.5000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select * from \n",
    "        farmers_vendor_total_weekly_sales;\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114fe04f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2649dc0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market_year</th>\n",
       "      <th>market_month</th>\n",
       "      <th>sum(Total_Sales_weekly)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>April</td>\n",
       "      <td>3666.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>May</td>\n",
       "      <td>4428.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>June</td>\n",
       "      <td>4317.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>July</td>\n",
       "      <td>4358.5025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>4263.7140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>September</td>\n",
       "      <td>3702.5423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>October</td>\n",
       "      <td>4521.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019</td>\n",
       "      <td>November</td>\n",
       "      <td>5601.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019</td>\n",
       "      <td>December</td>\n",
       "      <td>5378.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020</td>\n",
       "      <td>March</td>\n",
       "      <td>3733.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020</td>\n",
       "      <td>April</td>\n",
       "      <td>3022.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020</td>\n",
       "      <td>May</td>\n",
       "      <td>4134.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020</td>\n",
       "      <td>June</td>\n",
       "      <td>3823.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td>3821.8763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020</td>\n",
       "      <td>August</td>\n",
       "      <td>4359.6407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020</td>\n",
       "      <td>September</td>\n",
       "      <td>4386.5609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020</td>\n",
       "      <td>October</td>\n",
       "      <td>1709.5000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    market_year market_month  sum(Total_Sales_weekly)\n",
       "0          2019        April                3666.0000\n",
       "1          2019          May                4428.0000\n",
       "2          2019         June                4317.7000\n",
       "3          2019         July                4358.5025\n",
       "4          2019       August                4263.7140\n",
       "5          2019    September                3702.5423\n",
       "6          2019      October                4521.0000\n",
       "7          2019     November                5601.0000\n",
       "8          2019     December                5378.5000\n",
       "9          2020        March                3733.0000\n",
       "10         2020        April                3022.0000\n",
       "11         2020          May                4134.5000\n",
       "12         2020         June                3823.1000\n",
       "13         2020         July                3821.8763\n",
       "14         2020       August                4359.6407\n",
       "15         2020    September                4386.5609\n",
       "16         2020      October                1709.5000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select \n",
    "market_year,\n",
    "market_month,\n",
    "sum(Total_Sales_weekly)\n",
    "\n",
    "from \n",
    "    farmers_vendor_total_weekly_sales\n",
    "group by \n",
    "    market_year,market_month\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "442b325b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>vendor_name</th>\n",
       "      <th>total_sale_per_vendor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Marco's Peppers</td>\n",
       "      <td>18403.0367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Annie's Pies</td>\n",
       "      <td>49630.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Fields of Corn</td>\n",
       "      <td>1194.1000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       vendor_name  total_sale_per_vendor\n",
       "0  Marco's Peppers             18403.0367\n",
       "1     Annie's Pies             49630.0000\n",
       "2   Fields of Corn              1194.1000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select \n",
    "vendor_name,\n",
    "sum(Total_Sales_weekly) total_sale_per_vendor\n",
    "\n",
    "from \n",
    "    farmers_vendor_total_weekly_sales\n",
    "group by \n",
    "    vendor_name\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36582651",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb887b8a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2843d8c4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57fdcaae",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e36be97",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a8d3474",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50591246",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1c299d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sql extension is already loaded. To reload it, use:\n",
      "  %reload_ext sql\n"
     ]
    }
   ],
   "source": [
    "pd.set_option('display.max_rows',1500)\n",
    "import mysql.connector as connection\n",
    "import pymysql\n",
    "dbname = \"hr\"\n",
    "dbhost = \"localhost\"\n",
    "dbusername = \"root\"\n",
    "dbpassword = \"9723811710\"\n",
    "conn = pymysql.connect(host = dbhost,\n",
    "                           port = int(3306),\n",
    "                             user = \"root\",\n",
    "                             passwd = dbpassword,\n",
    "                            db = dbname)\n",
    "%load_ext sql\n",
    "%sql mysql+mysqldb://root:9723811710@localhost/hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c82ee33",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9f99003b",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "### Extract all the employees who work under the same manager. Return manager_id and managers full name (first name, last name separated by space) as 'Manager' and employee's full name (first name, last name separated by space) as 'Employee' and order the data based on manager_id and 'Employee'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "02faa226",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manager_id</th>\n",
       "      <th>Manager</th>\n",
       "      <th>Employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Adam Fripp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Den Raphaely</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>John Russell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Karen Partners</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Lex De Haan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Michael Hartstein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>Hermann Baer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>Jennifer Whalen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>Shelley Higgins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>Susan Mavris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex De Haan</td>\n",
       "      <td>Alexander Hunold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander Hunold</td>\n",
       "      <td>Bruce Ernst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander Hunold</td>\n",
       "      <td>David Austin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander Hunold</td>\n",
       "      <td>Diana Lorentz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander Hunold</td>\n",
       "      <td>Valli Pataballa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "      <td>Daniel Faviet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "      <td>Ismael Sciarra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "      <td>John Chen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "      <td>Jose Manuel Urman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy Greenberg</td>\n",
       "      <td>Luis Popp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>114</td>\n",
       "      <td>Den Raphaely</td>\n",
       "      <td>Alexander Khoo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>114</td>\n",
       "      <td>Den Raphaely</td>\n",
       "      <td>Guy Himuro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>114</td>\n",
       "      <td>Den Raphaely</td>\n",
       "      <td>Karen Colmenares</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>114</td>\n",
       "      <td>Den Raphaely</td>\n",
       "      <td>Shelli Baida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>114</td>\n",
       "      <td>Den Raphaely</td>\n",
       "      <td>Sigal Tobias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Girard Geoni</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Irene Mikkilineni</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>James Landry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Jean Fleaur</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Julia Nayer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Martha Sullivan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Steven Markle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew Weiss</td>\n",
       "      <td>Winston Taylor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Alexis Bull</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Anthony Cabrio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>James Marlow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Julia Dellinger</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Laura Bissot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Mozhe Atkinson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>Nandita Sarchand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam Fripp</td>\n",
       "      <td>TJ Olson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Hazel Philtanker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Jason Mallin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Jennifer Dilly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Kelly Chung</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Ki Gee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Michael Rogers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Randall Perkins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam Kaufling</td>\n",
       "      <td>Timothy Gates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Britney Everett</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>John Seo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Joshua Patel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Renske Ladwig</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Samuel McCain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Sarah Bell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Stephen Stiles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta Vollman</td>\n",
       "      <td>Vance Jones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Alana Walsh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Curtis Davies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Donald OConnell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Douglas Grant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Kevin Feeney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Peter Vargas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Randall Matos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin Mourgos</td>\n",
       "      <td>Trenna Rajs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>Christopher Olsen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>David Bernstein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>Nanette Cambrault</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>Oliver Tuvault</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>Peter Hall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>Peter Tucker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Allan McEwen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Janette King</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Lindsey Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Louise Doran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Patrick Sully</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>Sarath Sewall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>Amit Banda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>Clara Vishney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>Danielle Greene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>David Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>Mattea Marvins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto Errazuriz</td>\n",
       "      <td>Sundar Ande</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>Elizabeth Bates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>Harrison Bloom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>Lisa Ozer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>Sundita Kumar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>Tayler Fox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald Cambrault</td>\n",
       "      <td>William Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Alyssa Hutton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Charles Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Ellen Abel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Jack Livingston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Jonathon Taylor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni Zlotkey</td>\n",
       "      <td>Kimberely Grant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>201</td>\n",
       "      <td>Michael Hartstein</td>\n",
       "      <td>Pat Fay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>205</td>\n",
       "      <td>Shelley Higgins</td>\n",
       "      <td>William Gietz</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    manager_id            Manager           Employee\n",
       "0          100        Steven King         Adam Fripp\n",
       "1          100        Steven King  Alberto Errazuriz\n",
       "2          100        Steven King       Den Raphaely\n",
       "3          100        Steven King      Eleni Zlotkey\n",
       "4          100        Steven King   Gerald Cambrault\n",
       "5          100        Steven King       John Russell\n",
       "6          100        Steven King     Karen Partners\n",
       "7          100        Steven King      Kevin Mourgos\n",
       "8          100        Steven King        Lex De Haan\n",
       "9          100        Steven King      Matthew Weiss\n",
       "10         100        Steven King  Michael Hartstein\n",
       "11         100        Steven King      Neena Kochhar\n",
       "12         100        Steven King     Payam Kaufling\n",
       "13         100        Steven King     Shanta Vollman\n",
       "14         101      Neena Kochhar       Hermann Baer\n",
       "15         101      Neena Kochhar    Jennifer Whalen\n",
       "16         101      Neena Kochhar    Nancy Greenberg\n",
       "17         101      Neena Kochhar    Shelley Higgins\n",
       "18         101      Neena Kochhar       Susan Mavris\n",
       "19         102        Lex De Haan   Alexander Hunold\n",
       "20         103   Alexander Hunold        Bruce Ernst\n",
       "21         103   Alexander Hunold       David Austin\n",
       "22         103   Alexander Hunold      Diana Lorentz\n",
       "23         103   Alexander Hunold    Valli Pataballa\n",
       "24         108    Nancy Greenberg      Daniel Faviet\n",
       "25         108    Nancy Greenberg     Ismael Sciarra\n",
       "26         108    Nancy Greenberg          John Chen\n",
       "27         108    Nancy Greenberg  Jose Manuel Urman\n",
       "28         108    Nancy Greenberg          Luis Popp\n",
       "29         114       Den Raphaely     Alexander Khoo\n",
       "30         114       Den Raphaely         Guy Himuro\n",
       "31         114       Den Raphaely   Karen Colmenares\n",
       "32         114       Den Raphaely       Shelli Baida\n",
       "33         114       Den Raphaely       Sigal Tobias\n",
       "34         120      Matthew Weiss       Girard Geoni\n",
       "35         120      Matthew Weiss  Irene Mikkilineni\n",
       "36         120      Matthew Weiss       James Landry\n",
       "37         120      Matthew Weiss        Jean Fleaur\n",
       "38         120      Matthew Weiss        Julia Nayer\n",
       "39         120      Matthew Weiss    Martha Sullivan\n",
       "40         120      Matthew Weiss      Steven Markle\n",
       "41         120      Matthew Weiss     Winston Taylor\n",
       "42         121         Adam Fripp        Alexis Bull\n",
       "43         121         Adam Fripp     Anthony Cabrio\n",
       "44         121         Adam Fripp       James Marlow\n",
       "45         121         Adam Fripp    Julia Dellinger\n",
       "46         121         Adam Fripp       Laura Bissot\n",
       "47         121         Adam Fripp     Mozhe Atkinson\n",
       "48         121         Adam Fripp   Nandita Sarchand\n",
       "49         121         Adam Fripp           TJ Olson\n",
       "50         122     Payam Kaufling   Hazel Philtanker\n",
       "51         122     Payam Kaufling       Jason Mallin\n",
       "52         122     Payam Kaufling     Jennifer Dilly\n",
       "53         122     Payam Kaufling        Kelly Chung\n",
       "54         122     Payam Kaufling             Ki Gee\n",
       "55         122     Payam Kaufling     Michael Rogers\n",
       "56         122     Payam Kaufling    Randall Perkins\n",
       "57         122     Payam Kaufling      Timothy Gates\n",
       "58         123     Shanta Vollman    Britney Everett\n",
       "59         123     Shanta Vollman           John Seo\n",
       "60         123     Shanta Vollman       Joshua Patel\n",
       "61         123     Shanta Vollman      Renske Ladwig\n",
       "62         123     Shanta Vollman      Samuel McCain\n",
       "63         123     Shanta Vollman         Sarah Bell\n",
       "64         123     Shanta Vollman     Stephen Stiles\n",
       "65         123     Shanta Vollman        Vance Jones\n",
       "66         124      Kevin Mourgos        Alana Walsh\n",
       "67         124      Kevin Mourgos      Curtis Davies\n",
       "68         124      Kevin Mourgos    Donald OConnell\n",
       "69         124      Kevin Mourgos      Douglas Grant\n",
       "70         124      Kevin Mourgos       Kevin Feeney\n",
       "71         124      Kevin Mourgos       Peter Vargas\n",
       "72         124      Kevin Mourgos      Randall Matos\n",
       "73         124      Kevin Mourgos        Trenna Rajs\n",
       "74         145       John Russell  Christopher Olsen\n",
       "75         145       John Russell    David Bernstein\n",
       "76         145       John Russell  Nanette Cambrault\n",
       "77         145       John Russell     Oliver Tuvault\n",
       "78         145       John Russell         Peter Hall\n",
       "79         145       John Russell       Peter Tucker\n",
       "80         146     Karen Partners       Allan McEwen\n",
       "81         146     Karen Partners       Janette King\n",
       "82         146     Karen Partners      Lindsey Smith\n",
       "83         146     Karen Partners       Louise Doran\n",
       "84         146     Karen Partners      Patrick Sully\n",
       "85         146     Karen Partners      Sarath Sewall\n",
       "86         147  Alberto Errazuriz         Amit Banda\n",
       "87         147  Alberto Errazuriz      Clara Vishney\n",
       "88         147  Alberto Errazuriz    Danielle Greene\n",
       "89         147  Alberto Errazuriz          David Lee\n",
       "90         147  Alberto Errazuriz     Mattea Marvins\n",
       "91         147  Alberto Errazuriz        Sundar Ande\n",
       "92         148   Gerald Cambrault    Elizabeth Bates\n",
       "93         148   Gerald Cambrault     Harrison Bloom\n",
       "94         148   Gerald Cambrault          Lisa Ozer\n",
       "95         148   Gerald Cambrault      Sundita Kumar\n",
       "96         148   Gerald Cambrault         Tayler Fox\n",
       "97         148   Gerald Cambrault      William Smith\n",
       "98         149      Eleni Zlotkey      Alyssa Hutton\n",
       "99         149      Eleni Zlotkey    Charles Johnson\n",
       "100        149      Eleni Zlotkey         Ellen Abel\n",
       "101        149      Eleni Zlotkey    Jack Livingston\n",
       "102        149      Eleni Zlotkey    Jonathon Taylor\n",
       "103        149      Eleni Zlotkey    Kimberely Grant\n",
       "104        201  Michael Hartstein            Pat Fay\n",
       "105        205    Shelley Higgins      William Gietz"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select \n",
    "\n",
    "e.manager_id,\n",
    "concat(m.first_name , \" \", m.last_name) as Manager,\n",
    "\n",
    "concat(e.first_name , \" \", e.last_name) as Employee\n",
    "from\n",
    "employees as e\n",
    "join employees as m\n",
    "on\n",
    "e.manager_id = m.employee_id\n",
    "order by e.manager_id , e.first_name\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5bc3d9a3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9ddac321",
   "metadata": {},
   "source": [
    "### Problem Statement:\n",
    "\n",
    "### Use CTE's. Add 5000 for every employee's salary and save the column as 'Net_salary' and display all the details like employee_id,first_name, last_name, salary , 'Net_salary' of those employees whose net salary is greater than 20000.\n",
    "\n",
    "Return the columns 'employee_id', 'first_name', 'last_name', 'salary', 'Net_Salary'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "119f764a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "# select \n",
    "# employee_id,\n",
    "# first_name,\n",
    "# last_name,\n",
    "# salary,\n",
    "# salary + 5000 as 'Net_Salary'\n",
    "\n",
    "# from\n",
    "# employees\n",
    "\n",
    "# ;\n",
    "\n",
    "\n",
    "# \"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2f1a819f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>salary</th>\n",
       "      <th>Net_Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven</td>\n",
       "      <td>King</td>\n",
       "      <td>25000</td>\n",
       "      <td>30000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena</td>\n",
       "      <td>Kochhar</td>\n",
       "      <td>17000</td>\n",
       "      <td>22000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex</td>\n",
       "      <td>De Haan</td>\n",
       "      <td>17000</td>\n",
       "      <td>22000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   employee_id first_name last_name  salary  Net_Salary\n",
       "0          100     Steven      King   25000       30000\n",
       "1          101      Neena   Kochhar   17000       22000\n",
       "2          102        Lex   De Haan   17000       22000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "WITH emp AS\n",
    "    (\n",
    "        select \n",
    "            *,\n",
    "            salary + 5000 as 'Net_Salary'\n",
    "\n",
    "        from\n",
    "            employees\n",
    "    )\n",
    "SELECT \n",
    "    employee_id,\n",
    "    first_name,\n",
    "    last_name,\n",
    "    salary,\n",
    "    Net_salary\n",
    "FROM\n",
    "    emp\n",
    "WHERE \n",
    "    Net_Salary >= 20000\n",
    "\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c19a1e9a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e772419",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "15a83f3f",
   "metadata": {},
   "source": [
    "### Problem Statement:\n",
    "\n",
    "### Use CTE's. Calculate the net salary for the employees and save the column as 'Net_salary' and display all the details like employee_id,first_name, last_name, salary , 'Net_salary' of those employees whose net salary is greater than 15000.\n",
    "\n",
    "### Note: To calculate the 'Net_salary' = salary + salary *(comission_pct). If the column 'comission_pct' consists of null values replace them with zeros using the ifnull() function. For example: ifnull(comission_pct,0).\n",
    "\n",
    "Return the columns 'employee_id', 'first_name', 'last_name', 'salary', 'Net_Salary'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97ee382a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4a67cb7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>salary</th>\n",
       "      <th>Net_Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven</td>\n",
       "      <td>King</td>\n",
       "      <td>25000</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena</td>\n",
       "      <td>Kochhar</td>\n",
       "      <td>17000</td>\n",
       "      <td>17000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex</td>\n",
       "      <td>De Haan</td>\n",
       "      <td>17000</td>\n",
       "      <td>17000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>145</td>\n",
       "      <td>John</td>\n",
       "      <td>Russell</td>\n",
       "      <td>14000</td>\n",
       "      <td>19600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen</td>\n",
       "      <td>Partners</td>\n",
       "      <td>13500</td>\n",
       "      <td>17550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Errazuriz</td>\n",
       "      <td>12000</td>\n",
       "      <td>15600.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   employee_id first_name  last_name  salary  Net_Salary\n",
       "0          100     Steven       King   25000     25000.0\n",
       "1          101      Neena    Kochhar   17000     17000.0\n",
       "2          102        Lex    De Haan   17000     17000.0\n",
       "3          145       John    Russell   14000     19600.0\n",
       "4          146      Karen   Partners   13500     17550.0\n",
       "5          147    Alberto  Errazuriz   12000     15600.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "WITH emp AS\n",
    "    (\n",
    "        select \n",
    "            *,\n",
    "            salary+(salary*ifnull(commission_pct,0)) as Net_Salary\n",
    "        from\n",
    "            employees\n",
    "    )\n",
    "SELECT \n",
    "    employee_id,\n",
    "    first_name,\n",
    "    last_name,\n",
    "    salary,\n",
    "    Net_salary\n",
    "    \n",
    "FROM\n",
    "    emp\n",
    "WHERE \n",
    "    Net_Salary >= 15000\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e86c7638",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ae4f961a",
   "metadata": {},
   "source": [
    "\n",
    "### Display all the employee information who work for department number 80 or have salary more than 10000 using Union for employees table.\n",
    "\n",
    "Return all the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1d7e599b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>email</th>\n",
       "      <th>phone_number</th>\n",
       "      <th>hire_date</th>\n",
       "      <th>job_id</th>\n",
       "      <th>salary</th>\n",
       "      <th>commission_pct</th>\n",
       "      <th>manager_id</th>\n",
       "      <th>department_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145</td>\n",
       "      <td>John</td>\n",
       "      <td>Russell</td>\n",
       "      <td>JRUSSEL</td>\n",
       "      <td>011.44.1344.429268</td>\n",
       "      <td>1996-10-01</td>\n",
       "      <td>SA_MAN</td>\n",
       "      <td>14000</td>\n",
       "      <td>0.4</td>\n",
       "      <td>100</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen</td>\n",
       "      <td>Partners</td>\n",
       "      <td>KPARTNER</td>\n",
       "      <td>011.44.1344.467268</td>\n",
       "      <td>1997-01-05</td>\n",
       "      <td>SA_MAN</td>\n",
       "      <td>13500</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>147</td>\n",
       "      <td>Alberto</td>\n",
       "      <td>Errazuriz</td>\n",
       "      <td>AERRAZUR</td>\n",
       "      <td>011.44.1344.429278</td>\n",
       "      <td>1997-03-10</td>\n",
       "      <td>SA_MAN</td>\n",
       "      <td>12000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>148</td>\n",
       "      <td>Gerald</td>\n",
       "      <td>Cambrault</td>\n",
       "      <td>GCAMBRAU</td>\n",
       "      <td>011.44.1344.619268</td>\n",
       "      <td>1999-10-15</td>\n",
       "      <td>SA_MAN</td>\n",
       "      <td>11000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>149</td>\n",
       "      <td>Eleni</td>\n",
       "      <td>Zlotkey</td>\n",
       "      <td>EZLOTKEY</td>\n",
       "      <td>011.44.1344.429018</td>\n",
       "      <td>2000-01-29</td>\n",
       "      <td>SA_MAN</td>\n",
       "      <td>10500</td>\n",
       "      <td>0.2</td>\n",
       "      <td>100</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>150</td>\n",
       "      <td>Peter</td>\n",
       "      <td>Tucker</td>\n",
       "      <td>PTUCKER</td>\n",
       "      <td>011.44.1344.129268</td>\n",
       "      <td>1997-01-30</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>10000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>151</td>\n",
       "      <td>David</td>\n",
       "      <td>Bernstein</td>\n",
       "      <td>DBERNSTE</td>\n",
       "      <td>011.44.1344.345268</td>\n",
       "      <td>1997-03-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9500</td>\n",
       "      <td>0.25</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>152</td>\n",
       "      <td>Peter</td>\n",
       "      <td>Hall</td>\n",
       "      <td>PHALL</td>\n",
       "      <td>011.44.1344.478968</td>\n",
       "      <td>1997-08-20</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>153</td>\n",
       "      <td>Christopher</td>\n",
       "      <td>Olsen</td>\n",
       "      <td>COLSEN</td>\n",
       "      <td>011.44.1344.498718</td>\n",
       "      <td>1998-03-30</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>8000</td>\n",
       "      <td>0.2</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>154</td>\n",
       "      <td>Nanette</td>\n",
       "      <td>Cambrault</td>\n",
       "      <td>NCAMBRAU</td>\n",
       "      <td>011.44.1344.987668</td>\n",
       "      <td>1998-12-09</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7500</td>\n",
       "      <td>0.2</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>155</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>Tuvault</td>\n",
       "      <td>OTUVAULT</td>\n",
       "      <td>011.44.1344.486508</td>\n",
       "      <td>1999-11-23</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7000</td>\n",
       "      <td>0.15</td>\n",
       "      <td>145</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>156</td>\n",
       "      <td>Janette</td>\n",
       "      <td>King</td>\n",
       "      <td>JKING</td>\n",
       "      <td>011.44.1345.429268</td>\n",
       "      <td>1996-01-30</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>10000</td>\n",
       "      <td>0.35</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>157</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Sully</td>\n",
       "      <td>PSULLY</td>\n",
       "      <td>011.44.1345.929268</td>\n",
       "      <td>1996-03-04</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9500</td>\n",
       "      <td>0.35</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>158</td>\n",
       "      <td>Allan</td>\n",
       "      <td>McEwen</td>\n",
       "      <td>AMCEWEN</td>\n",
       "      <td>011.44.1345.829268</td>\n",
       "      <td>1996-08-01</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9000</td>\n",
       "      <td>0.35</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>159</td>\n",
       "      <td>Lindsey</td>\n",
       "      <td>Smith</td>\n",
       "      <td>LSMITH</td>\n",
       "      <td>011.44.1345.729268</td>\n",
       "      <td>1997-03-10</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>8000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>160</td>\n",
       "      <td>Louise</td>\n",
       "      <td>Doran</td>\n",
       "      <td>LDORAN</td>\n",
       "      <td>011.44.1345.629268</td>\n",
       "      <td>1997-12-15</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7500</td>\n",
       "      <td>0.3</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>161</td>\n",
       "      <td>Sarath</td>\n",
       "      <td>Sewall</td>\n",
       "      <td>SSEWALL</td>\n",
       "      <td>011.44.1345.529268</td>\n",
       "      <td>1998-11-03</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>146</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>162</td>\n",
       "      <td>Clara</td>\n",
       "      <td>Vishney</td>\n",
       "      <td>CVISHNEY</td>\n",
       "      <td>011.44.1346.129268</td>\n",
       "      <td>1997-11-11</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>10500</td>\n",
       "      <td>0.25</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>163</td>\n",
       "      <td>Danielle</td>\n",
       "      <td>Greene</td>\n",
       "      <td>DGREENE</td>\n",
       "      <td>011.44.1346.229268</td>\n",
       "      <td>1999-03-19</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9500</td>\n",
       "      <td>0.15</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>164</td>\n",
       "      <td>Mattea</td>\n",
       "      <td>Marvins</td>\n",
       "      <td>MMARVINS</td>\n",
       "      <td>011.44.1346.329268</td>\n",
       "      <td>2000-01-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7200</td>\n",
       "      <td>0.1</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>165</td>\n",
       "      <td>David</td>\n",
       "      <td>Lee</td>\n",
       "      <td>DLEE</td>\n",
       "      <td>011.44.1346.529268</td>\n",
       "      <td>2000-02-23</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>6800</td>\n",
       "      <td>0.1</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>166</td>\n",
       "      <td>Sundar</td>\n",
       "      <td>Ande</td>\n",
       "      <td>SANDE</td>\n",
       "      <td>011.44.1346.629268</td>\n",
       "      <td>2000-03-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>6400</td>\n",
       "      <td>0.1</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>167</td>\n",
       "      <td>Amit</td>\n",
       "      <td>Banda</td>\n",
       "      <td>ABANDA</td>\n",
       "      <td>011.44.1346.729268</td>\n",
       "      <td>2000-04-21</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>6200</td>\n",
       "      <td>0.1</td>\n",
       "      <td>147</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>168</td>\n",
       "      <td>Lisa</td>\n",
       "      <td>Ozer</td>\n",
       "      <td>LOZER</td>\n",
       "      <td>011.44.1343.929268</td>\n",
       "      <td>1997-03-11</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>11500</td>\n",
       "      <td>0.25</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>169</td>\n",
       "      <td>Harrison</td>\n",
       "      <td>Bloom</td>\n",
       "      <td>HBLOOM</td>\n",
       "      <td>011.44.1343.829268</td>\n",
       "      <td>1998-03-23</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>10000</td>\n",
       "      <td>0.2</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>170</td>\n",
       "      <td>Tayler</td>\n",
       "      <td>Fox</td>\n",
       "      <td>TFOX</td>\n",
       "      <td>011.44.1343.729268</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>9600</td>\n",
       "      <td>0.2</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>171</td>\n",
       "      <td>William</td>\n",
       "      <td>Smith</td>\n",
       "      <td>WSMITH</td>\n",
       "      <td>011.44.1343.629268</td>\n",
       "      <td>1999-02-23</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7400</td>\n",
       "      <td>0.15</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>172</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Bates</td>\n",
       "      <td>EBATES</td>\n",
       "      <td>011.44.1343.529268</td>\n",
       "      <td>1999-03-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7300</td>\n",
       "      <td>0.15</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>173</td>\n",
       "      <td>Sundita</td>\n",
       "      <td>Kumar</td>\n",
       "      <td>SKUMAR</td>\n",
       "      <td>011.44.1343.329268</td>\n",
       "      <td>2000-04-21</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>6100</td>\n",
       "      <td>0.1</td>\n",
       "      <td>148</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>174</td>\n",
       "      <td>Ellen</td>\n",
       "      <td>Abel</td>\n",
       "      <td>EABEL</td>\n",
       "      <td>011.44.1644.429267</td>\n",
       "      <td>1996-05-11</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>11000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>149</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>175</td>\n",
       "      <td>Alyssa</td>\n",
       "      <td>Hutton</td>\n",
       "      <td>AHUTTON</td>\n",
       "      <td>011.44.1644.429266</td>\n",
       "      <td>1997-03-19</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>8800</td>\n",
       "      <td>0.25</td>\n",
       "      <td>149</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>176</td>\n",
       "      <td>Jonathon</td>\n",
       "      <td>Taylor</td>\n",
       "      <td>JTAYLOR</td>\n",
       "      <td>011.44.1644.429265</td>\n",
       "      <td>1998-03-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>8600</td>\n",
       "      <td>0.2</td>\n",
       "      <td>149</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>177</td>\n",
       "      <td>Jack</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>JLIVINGS</td>\n",
       "      <td>011.44.1644.429264</td>\n",
       "      <td>1998-04-23</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>8400</td>\n",
       "      <td>0.2</td>\n",
       "      <td>149</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>179</td>\n",
       "      <td>Charles</td>\n",
       "      <td>Johnson</td>\n",
       "      <td>CJOHNSON</td>\n",
       "      <td>011.44.1644.429262</td>\n",
       "      <td>2000-01-04</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>6200</td>\n",
       "      <td>0.1</td>\n",
       "      <td>149</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven</td>\n",
       "      <td>King</td>\n",
       "      <td>SKING</td>\n",
       "      <td>515.123.4567</td>\n",
       "      <td>1987-06-17</td>\n",
       "      <td>AD_PRES</td>\n",
       "      <td>25000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena</td>\n",
       "      <td>Kochhar</td>\n",
       "      <td>NKOCHHAR</td>\n",
       "      <td>515.123.4568</td>\n",
       "      <td>1989-09-21</td>\n",
       "      <td>AD_VP</td>\n",
       "      <td>17000</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex</td>\n",
       "      <td>De Haan</td>\n",
       "      <td>LDEHAAN</td>\n",
       "      <td>515.123.4569</td>\n",
       "      <td>1993-01-13</td>\n",
       "      <td>AD_VP</td>\n",
       "      <td>17000</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander</td>\n",
       "      <td>Hunold</td>\n",
       "      <td>AHUNOLD</td>\n",
       "      <td>590.423.4567</td>\n",
       "      <td>1990-01-03</td>\n",
       "      <td>IT_PROG</td>\n",
       "      <td>9000</td>\n",
       "      <td>None</td>\n",
       "      <td>102</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>104</td>\n",
       "      <td>Bruce</td>\n",
       "      <td>Ernst</td>\n",
       "      <td>BERNST</td>\n",
       "      <td>590.423.4568</td>\n",
       "      <td>1991-05-21</td>\n",
       "      <td>IT_PROG</td>\n",
       "      <td>6000</td>\n",
       "      <td>None</td>\n",
       "      <td>103</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>105</td>\n",
       "      <td>David</td>\n",
       "      <td>Austin</td>\n",
       "      <td>DAUSTIN</td>\n",
       "      <td>590.423.4569</td>\n",
       "      <td>1997-06-25</td>\n",
       "      <td>IT_PROG</td>\n",
       "      <td>4800</td>\n",
       "      <td>None</td>\n",
       "      <td>103</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>106</td>\n",
       "      <td>Valli</td>\n",
       "      <td>Pataballa</td>\n",
       "      <td>VPATABAL</td>\n",
       "      <td>590.423.4560</td>\n",
       "      <td>1998-02-05</td>\n",
       "      <td>IT_PROG</td>\n",
       "      <td>4800</td>\n",
       "      <td>None</td>\n",
       "      <td>103</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>107</td>\n",
       "      <td>Diana</td>\n",
       "      <td>Lorentz</td>\n",
       "      <td>DLORENTZ</td>\n",
       "      <td>590.423.5567</td>\n",
       "      <td>1999-02-07</td>\n",
       "      <td>IT_PROG</td>\n",
       "      <td>4200</td>\n",
       "      <td>None</td>\n",
       "      <td>103</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Greenberg</td>\n",
       "      <td>NGREENBE</td>\n",
       "      <td>515.124.4569</td>\n",
       "      <td>1994-08-17</td>\n",
       "      <td>FI_MGR</td>\n",
       "      <td>12000</td>\n",
       "      <td>None</td>\n",
       "      <td>101</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>109</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>Faviet</td>\n",
       "      <td>DFAVIET</td>\n",
       "      <td>515.124.4169</td>\n",
       "      <td>1994-08-16</td>\n",
       "      <td>FI_ACCOUNT</td>\n",
       "      <td>9000</td>\n",
       "      <td>None</td>\n",
       "      <td>108</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>110</td>\n",
       "      <td>John</td>\n",
       "      <td>Chen</td>\n",
       "      <td>JCHEN</td>\n",
       "      <td>515.124.4269</td>\n",
       "      <td>1997-09-28</td>\n",
       "      <td>FI_ACCOUNT</td>\n",
       "      <td>8200</td>\n",
       "      <td>None</td>\n",
       "      <td>108</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>111</td>\n",
       "      <td>Ismael</td>\n",
       "      <td>Sciarra</td>\n",
       "      <td>ISCIARRA</td>\n",
       "      <td>515.124.4369</td>\n",
       "      <td>1997-09-30</td>\n",
       "      <td>FI_ACCOUNT</td>\n",
       "      <td>7700</td>\n",
       "      <td>None</td>\n",
       "      <td>108</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>112</td>\n",
       "      <td>Jose Manuel</td>\n",
       "      <td>Urman</td>\n",
       "      <td>JMURMAN</td>\n",
       "      <td>515.124.4469</td>\n",
       "      <td>1998-03-07</td>\n",
       "      <td>FI_ACCOUNT</td>\n",
       "      <td>7800</td>\n",
       "      <td>None</td>\n",
       "      <td>108</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>113</td>\n",
       "      <td>Luis</td>\n",
       "      <td>Popp</td>\n",
       "      <td>LPOPP</td>\n",
       "      <td>515.124.4567</td>\n",
       "      <td>1999-12-07</td>\n",
       "      <td>FI_ACCOUNT</td>\n",
       "      <td>6900</td>\n",
       "      <td>None</td>\n",
       "      <td>108</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>114</td>\n",
       "      <td>Den</td>\n",
       "      <td>Raphaely</td>\n",
       "      <td>DRAPHEAL</td>\n",
       "      <td>515.127.4561</td>\n",
       "      <td>1994-12-07</td>\n",
       "      <td>PU_MAN</td>\n",
       "      <td>11000</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>115</td>\n",
       "      <td>Alexander</td>\n",
       "      <td>Khoo</td>\n",
       "      <td>AKHOO</td>\n",
       "      <td>515.127.4562</td>\n",
       "      <td>1995-05-18</td>\n",
       "      <td>PU_CLERK</td>\n",
       "      <td>3100</td>\n",
       "      <td>None</td>\n",
       "      <td>114</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>116</td>\n",
       "      <td>Shelli</td>\n",
       "      <td>Baida</td>\n",
       "      <td>SBAIDA</td>\n",
       "      <td>515.127.4563</td>\n",
       "      <td>1997-12-24</td>\n",
       "      <td>PU_CLERK</td>\n",
       "      <td>2900</td>\n",
       "      <td>None</td>\n",
       "      <td>114</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>117</td>\n",
       "      <td>Sigal</td>\n",
       "      <td>Tobias</td>\n",
       "      <td>STOBIAS</td>\n",
       "      <td>515.127.4564</td>\n",
       "      <td>1997-07-24</td>\n",
       "      <td>PU_CLERK</td>\n",
       "      <td>2800</td>\n",
       "      <td>None</td>\n",
       "      <td>114</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>118</td>\n",
       "      <td>Guy</td>\n",
       "      <td>Himuro</td>\n",
       "      <td>GHIMURO</td>\n",
       "      <td>515.127.4565</td>\n",
       "      <td>1998-11-15</td>\n",
       "      <td>PU_CLERK</td>\n",
       "      <td>2600</td>\n",
       "      <td>None</td>\n",
       "      <td>114</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>119</td>\n",
       "      <td>Karen</td>\n",
       "      <td>Colmenares</td>\n",
       "      <td>KCOLMENA</td>\n",
       "      <td>515.127.4566</td>\n",
       "      <td>1999-08-10</td>\n",
       "      <td>PU_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>114</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>120</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>Weiss</td>\n",
       "      <td>MWEISS</td>\n",
       "      <td>650.123.1234</td>\n",
       "      <td>1996-07-18</td>\n",
       "      <td>ST_MAN</td>\n",
       "      <td>8000</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>121</td>\n",
       "      <td>Adam</td>\n",
       "      <td>Fripp</td>\n",
       "      <td>AFRIPP</td>\n",
       "      <td>650.123.2234</td>\n",
       "      <td>1997-04-10</td>\n",
       "      <td>ST_MAN</td>\n",
       "      <td>8200</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>122</td>\n",
       "      <td>Payam</td>\n",
       "      <td>Kaufling</td>\n",
       "      <td>PKAUFLIN</td>\n",
       "      <td>650.123.3234</td>\n",
       "      <td>1995-05-01</td>\n",
       "      <td>ST_MAN</td>\n",
       "      <td>7900</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>123</td>\n",
       "      <td>Shanta</td>\n",
       "      <td>Vollman</td>\n",
       "      <td>SVOLLMAN</td>\n",
       "      <td>650.123.4234</td>\n",
       "      <td>1997-10-10</td>\n",
       "      <td>ST_MAN</td>\n",
       "      <td>6500</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>124</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Mourgos</td>\n",
       "      <td>KMOURGOS</td>\n",
       "      <td>650.123.5234</td>\n",
       "      <td>1999-11-16</td>\n",
       "      <td>ST_MAN</td>\n",
       "      <td>5800</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>125</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Nayer</td>\n",
       "      <td>JNAYER</td>\n",
       "      <td>650.124.1214</td>\n",
       "      <td>1997-07-16</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3200</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>126</td>\n",
       "      <td>Irene</td>\n",
       "      <td>Mikkilineni</td>\n",
       "      <td>IMIKKILI</td>\n",
       "      <td>650.124.1224</td>\n",
       "      <td>1998-09-28</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2700</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>127</td>\n",
       "      <td>James</td>\n",
       "      <td>Landry</td>\n",
       "      <td>JLANDRY</td>\n",
       "      <td>650.124.1334</td>\n",
       "      <td>1999-01-14</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2400</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>128</td>\n",
       "      <td>Steven</td>\n",
       "      <td>Markle</td>\n",
       "      <td>SMARKLE</td>\n",
       "      <td>650.124.1434</td>\n",
       "      <td>2000-03-08</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2200</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>129</td>\n",
       "      <td>Laura</td>\n",
       "      <td>Bissot</td>\n",
       "      <td>LBISSOT</td>\n",
       "      <td>650.124.5234</td>\n",
       "      <td>1997-08-20</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3300</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>130</td>\n",
       "      <td>Mozhe</td>\n",
       "      <td>Atkinson</td>\n",
       "      <td>MATKINSO</td>\n",
       "      <td>650.124.6234</td>\n",
       "      <td>1997-10-30</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2800</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>131</td>\n",
       "      <td>James</td>\n",
       "      <td>Marlow</td>\n",
       "      <td>JAMRLOW</td>\n",
       "      <td>650.124.7234</td>\n",
       "      <td>1997-02-16</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>132</td>\n",
       "      <td>TJ</td>\n",
       "      <td>Olson</td>\n",
       "      <td>TJOLSON</td>\n",
       "      <td>650.124.8234</td>\n",
       "      <td>1999-04-10</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2100</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>133</td>\n",
       "      <td>Jason</td>\n",
       "      <td>Mallin</td>\n",
       "      <td>JMALLIN</td>\n",
       "      <td>650.127.1934</td>\n",
       "      <td>1996-06-14</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3300</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>134</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Rogers</td>\n",
       "      <td>MROGERS</td>\n",
       "      <td>650.127.1834</td>\n",
       "      <td>1998-08-26</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2900</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>135</td>\n",
       "      <td>Ki</td>\n",
       "      <td>Gee</td>\n",
       "      <td>KGEE</td>\n",
       "      <td>650.127.1734</td>\n",
       "      <td>1999-12-12</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2400</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>136</td>\n",
       "      <td>Hazel</td>\n",
       "      <td>Philtanker</td>\n",
       "      <td>HPHILTAN</td>\n",
       "      <td>650.127.1634</td>\n",
       "      <td>2000-02-06</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2200</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>137</td>\n",
       "      <td>Renske</td>\n",
       "      <td>Ladwig</td>\n",
       "      <td>RLADWIG</td>\n",
       "      <td>650.121.1234</td>\n",
       "      <td>1995-07-14</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3600</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>138</td>\n",
       "      <td>Stephen</td>\n",
       "      <td>Stiles</td>\n",
       "      <td>SSTILES</td>\n",
       "      <td>650.121.2034</td>\n",
       "      <td>1997-10-26</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3200</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>139</td>\n",
       "      <td>John</td>\n",
       "      <td>Seo</td>\n",
       "      <td>JSEO</td>\n",
       "      <td>650.121.2019</td>\n",
       "      <td>1998-02-12</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2700</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>140</td>\n",
       "      <td>Joshua</td>\n",
       "      <td>Patel</td>\n",
       "      <td>JPATEL</td>\n",
       "      <td>650.121.1834</td>\n",
       "      <td>1998-04-06</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>141</td>\n",
       "      <td>Trenna</td>\n",
       "      <td>Rajs</td>\n",
       "      <td>TRAJS</td>\n",
       "      <td>650.121.8009</td>\n",
       "      <td>1995-10-17</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3500</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>142</td>\n",
       "      <td>Curtis</td>\n",
       "      <td>Davies</td>\n",
       "      <td>CDAVIES</td>\n",
       "      <td>650.121.2994</td>\n",
       "      <td>1997-01-29</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>3100</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>143</td>\n",
       "      <td>Randall</td>\n",
       "      <td>Matos</td>\n",
       "      <td>RMATOS</td>\n",
       "      <td>650.121.2874</td>\n",
       "      <td>1998-03-15</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2600</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>144</td>\n",
       "      <td>Peter</td>\n",
       "      <td>Vargas</td>\n",
       "      <td>PVARGAS</td>\n",
       "      <td>650.121.2004</td>\n",
       "      <td>1998-07-09</td>\n",
       "      <td>ST_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>178</td>\n",
       "      <td>Kimberely</td>\n",
       "      <td>Grant</td>\n",
       "      <td>KGRANT</td>\n",
       "      <td>011.44.1644.429263</td>\n",
       "      <td>1999-05-24</td>\n",
       "      <td>SA_REP</td>\n",
       "      <td>7000</td>\n",
       "      <td>0.15</td>\n",
       "      <td>149</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>180</td>\n",
       "      <td>Winston</td>\n",
       "      <td>Taylor</td>\n",
       "      <td>WTAYLOR</td>\n",
       "      <td>650.507.9876</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3200</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>181</td>\n",
       "      <td>Jean</td>\n",
       "      <td>Fleaur</td>\n",
       "      <td>JFLEAUR</td>\n",
       "      <td>650.507.9877</td>\n",
       "      <td>1998-02-23</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3100</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>182</td>\n",
       "      <td>Martha</td>\n",
       "      <td>Sullivan</td>\n",
       "      <td>MSULLIVA</td>\n",
       "      <td>650.507.9878</td>\n",
       "      <td>1999-06-21</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>183</td>\n",
       "      <td>Girard</td>\n",
       "      <td>Geoni</td>\n",
       "      <td>GGEONI</td>\n",
       "      <td>650.507.9879</td>\n",
       "      <td>2000-02-03</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2800</td>\n",
       "      <td>None</td>\n",
       "      <td>120</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>184</td>\n",
       "      <td>Nandita</td>\n",
       "      <td>Sarchand</td>\n",
       "      <td>NSARCHAN</td>\n",
       "      <td>650.509.1876</td>\n",
       "      <td>1996-01-27</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>4200</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>185</td>\n",
       "      <td>Alexis</td>\n",
       "      <td>Bull</td>\n",
       "      <td>ABULL</td>\n",
       "      <td>650.509.2876</td>\n",
       "      <td>1997-02-20</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>4100</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>186</td>\n",
       "      <td>Julia</td>\n",
       "      <td>Dellinger</td>\n",
       "      <td>JDELLING</td>\n",
       "      <td>650.509.3876</td>\n",
       "      <td>1998-06-24</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3400</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>187</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>Cabrio</td>\n",
       "      <td>ACABRIO</td>\n",
       "      <td>650.509.4876</td>\n",
       "      <td>1999-02-07</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3000</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>188</td>\n",
       "      <td>Kelly</td>\n",
       "      <td>Chung</td>\n",
       "      <td>KCHUNG</td>\n",
       "      <td>650.505.1876</td>\n",
       "      <td>1997-06-14</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3800</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>189</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Dilly</td>\n",
       "      <td>JDILLY</td>\n",
       "      <td>650.505.2876</td>\n",
       "      <td>1997-08-13</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3600</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>190</td>\n",
       "      <td>Timothy</td>\n",
       "      <td>Gates</td>\n",
       "      <td>TGATES</td>\n",
       "      <td>650.505.3876</td>\n",
       "      <td>1998-07-11</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2900</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>191</td>\n",
       "      <td>Randall</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>RPERKINS</td>\n",
       "      <td>650.505.4876</td>\n",
       "      <td>1999-12-19</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2500</td>\n",
       "      <td>None</td>\n",
       "      <td>122</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>192</td>\n",
       "      <td>Sarah</td>\n",
       "      <td>Bell</td>\n",
       "      <td>SBELL</td>\n",
       "      <td>650.501.1876</td>\n",
       "      <td>1996-02-04</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>4000</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>193</td>\n",
       "      <td>Britney</td>\n",
       "      <td>Everett</td>\n",
       "      <td>BEVERETT</td>\n",
       "      <td>650.501.2876</td>\n",
       "      <td>1997-03-03</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3900</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>194</td>\n",
       "      <td>Samuel</td>\n",
       "      <td>McCain</td>\n",
       "      <td>SMCCAIN</td>\n",
       "      <td>650.501.3876</td>\n",
       "      <td>1998-07-01</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3200</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>195</td>\n",
       "      <td>Vance</td>\n",
       "      <td>Jones</td>\n",
       "      <td>VJONES</td>\n",
       "      <td>650.501.4876</td>\n",
       "      <td>1999-03-17</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2800</td>\n",
       "      <td>None</td>\n",
       "      <td>123</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>196</td>\n",
       "      <td>Alana</td>\n",
       "      <td>Walsh</td>\n",
       "      <td>AWALSH</td>\n",
       "      <td>650.507.9811</td>\n",
       "      <td>1998-04-24</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3100</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>197</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Feeney</td>\n",
       "      <td>KFEENEY</td>\n",
       "      <td>650.507.9822</td>\n",
       "      <td>1998-05-23</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>3000</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>198</td>\n",
       "      <td>Donald</td>\n",
       "      <td>OConnell</td>\n",
       "      <td>DOCONNEL</td>\n",
       "      <td>650.507.9833</td>\n",
       "      <td>1999-06-21</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2600</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>199</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Grant</td>\n",
       "      <td>DGRANT</td>\n",
       "      <td>650.507.9844</td>\n",
       "      <td>2000-01-13</td>\n",
       "      <td>SH_CLERK</td>\n",
       "      <td>2600</td>\n",
       "      <td>None</td>\n",
       "      <td>124</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>200</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Whalen</td>\n",
       "      <td>JWHALEN</td>\n",
       "      <td>515.123.4444</td>\n",
       "      <td>1987-09-17</td>\n",
       "      <td>AD_ASST</td>\n",
       "      <td>4400</td>\n",
       "      <td>None</td>\n",
       "      <td>101</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>201</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Hartstein</td>\n",
       "      <td>MHARTSTE</td>\n",
       "      <td>515.123.5555</td>\n",
       "      <td>1996-02-17</td>\n",
       "      <td>MK_MAN</td>\n",
       "      <td>13000</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>202</td>\n",
       "      <td>Pat</td>\n",
       "      <td>Fay</td>\n",
       "      <td>PFAY</td>\n",
       "      <td>603.123.6666</td>\n",
       "      <td>1997-08-17</td>\n",
       "      <td>MK_REP</td>\n",
       "      <td>6000</td>\n",
       "      <td>None</td>\n",
       "      <td>201</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>203</td>\n",
       "      <td>Susan</td>\n",
       "      <td>Mavris</td>\n",
       "      <td>SMAVRIS</td>\n",
       "      <td>515.123.7777</td>\n",
       "      <td>1994-06-07</td>\n",
       "      <td>HR_REP</td>\n",
       "      <td>6500</td>\n",
       "      <td>None</td>\n",
       "      <td>101</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>204</td>\n",
       "      <td>Hermann</td>\n",
       "      <td>Baer</td>\n",
       "      <td>HBAER</td>\n",
       "      <td>515.123.8888</td>\n",
       "      <td>1994-06-07</td>\n",
       "      <td>PR_REP</td>\n",
       "      <td>10000</td>\n",
       "      <td>None</td>\n",
       "      <td>101</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>205</td>\n",
       "      <td>Shelley</td>\n",
       "      <td>Higgins</td>\n",
       "      <td>SHIGGINS</td>\n",
       "      <td>515.123.8080</td>\n",
       "      <td>1994-06-07</td>\n",
       "      <td>AC_MGR</td>\n",
       "      <td>12000</td>\n",
       "      <td>None</td>\n",
       "      <td>101</td>\n",
       "      <td>110.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>206</td>\n",
       "      <td>William</td>\n",
       "      <td>Gietz</td>\n",
       "      <td>WGIETZ</td>\n",
       "      <td>51hr5.123.8181</td>\n",
       "      <td>1994-06-07</td>\n",
       "      <td>AC_ACCOUNT</td>\n",
       "      <td>8300</td>\n",
       "      <td>None</td>\n",
       "      <td>205</td>\n",
       "      <td>110.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     employee_id   first_name    last_name     email        phone_number  \\\n",
       "0            145         John      Russell   JRUSSEL  011.44.1344.429268   \n",
       "1            146        Karen     Partners  KPARTNER  011.44.1344.467268   \n",
       "2            147      Alberto    Errazuriz  AERRAZUR  011.44.1344.429278   \n",
       "3            148       Gerald    Cambrault  GCAMBRAU  011.44.1344.619268   \n",
       "4            149        Eleni      Zlotkey  EZLOTKEY  011.44.1344.429018   \n",
       "5            150        Peter       Tucker   PTUCKER  011.44.1344.129268   \n",
       "6            151        David    Bernstein  DBERNSTE  011.44.1344.345268   \n",
       "7            152        Peter         Hall     PHALL  011.44.1344.478968   \n",
       "8            153  Christopher        Olsen    COLSEN  011.44.1344.498718   \n",
       "9            154      Nanette    Cambrault  NCAMBRAU  011.44.1344.987668   \n",
       "10           155       Oliver      Tuvault  OTUVAULT  011.44.1344.486508   \n",
       "11           156      Janette         King     JKING  011.44.1345.429268   \n",
       "12           157      Patrick        Sully    PSULLY  011.44.1345.929268   \n",
       "13           158        Allan       McEwen   AMCEWEN  011.44.1345.829268   \n",
       "14           159      Lindsey        Smith    LSMITH  011.44.1345.729268   \n",
       "15           160       Louise        Doran    LDORAN  011.44.1345.629268   \n",
       "16           161       Sarath       Sewall   SSEWALL  011.44.1345.529268   \n",
       "17           162        Clara      Vishney  CVISHNEY  011.44.1346.129268   \n",
       "18           163     Danielle       Greene   DGREENE  011.44.1346.229268   \n",
       "19           164       Mattea      Marvins  MMARVINS  011.44.1346.329268   \n",
       "20           165        David          Lee      DLEE  011.44.1346.529268   \n",
       "21           166       Sundar         Ande     SANDE  011.44.1346.629268   \n",
       "22           167         Amit        Banda    ABANDA  011.44.1346.729268   \n",
       "23           168         Lisa         Ozer     LOZER  011.44.1343.929268   \n",
       "24           169     Harrison        Bloom    HBLOOM  011.44.1343.829268   \n",
       "25           170       Tayler          Fox      TFOX  011.44.1343.729268   \n",
       "26           171      William        Smith    WSMITH  011.44.1343.629268   \n",
       "27           172    Elizabeth        Bates    EBATES  011.44.1343.529268   \n",
       "28           173      Sundita        Kumar    SKUMAR  011.44.1343.329268   \n",
       "29           174        Ellen         Abel     EABEL  011.44.1644.429267   \n",
       "30           175       Alyssa       Hutton   AHUTTON  011.44.1644.429266   \n",
       "31           176     Jonathon       Taylor   JTAYLOR  011.44.1644.429265   \n",
       "32           177         Jack   Livingston  JLIVINGS  011.44.1644.429264   \n",
       "33           179      Charles      Johnson  CJOHNSON  011.44.1644.429262   \n",
       "34           100       Steven         King     SKING        515.123.4567   \n",
       "35           101        Neena      Kochhar  NKOCHHAR        515.123.4568   \n",
       "36           102          Lex      De Haan   LDEHAAN        515.123.4569   \n",
       "37           103    Alexander       Hunold   AHUNOLD        590.423.4567   \n",
       "38           104        Bruce        Ernst    BERNST        590.423.4568   \n",
       "39           105        David       Austin   DAUSTIN        590.423.4569   \n",
       "40           106        Valli    Pataballa  VPATABAL        590.423.4560   \n",
       "41           107        Diana      Lorentz  DLORENTZ        590.423.5567   \n",
       "42           108        Nancy    Greenberg  NGREENBE        515.124.4569   \n",
       "43           109       Daniel       Faviet   DFAVIET        515.124.4169   \n",
       "44           110         John         Chen     JCHEN        515.124.4269   \n",
       "45           111       Ismael      Sciarra  ISCIARRA        515.124.4369   \n",
       "46           112  Jose Manuel        Urman   JMURMAN        515.124.4469   \n",
       "47           113         Luis         Popp     LPOPP        515.124.4567   \n",
       "48           114          Den     Raphaely  DRAPHEAL        515.127.4561   \n",
       "49           115    Alexander         Khoo     AKHOO        515.127.4562   \n",
       "50           116       Shelli        Baida    SBAIDA        515.127.4563   \n",
       "51           117        Sigal       Tobias   STOBIAS        515.127.4564   \n",
       "52           118          Guy       Himuro   GHIMURO        515.127.4565   \n",
       "53           119        Karen   Colmenares  KCOLMENA        515.127.4566   \n",
       "54           120      Matthew        Weiss    MWEISS        650.123.1234   \n",
       "55           121         Adam        Fripp    AFRIPP        650.123.2234   \n",
       "56           122        Payam     Kaufling  PKAUFLIN        650.123.3234   \n",
       "57           123       Shanta      Vollman  SVOLLMAN        650.123.4234   \n",
       "58           124        Kevin      Mourgos  KMOURGOS        650.123.5234   \n",
       "59           125        Julia        Nayer    JNAYER        650.124.1214   \n",
       "60           126        Irene  Mikkilineni  IMIKKILI        650.124.1224   \n",
       "61           127        James       Landry   JLANDRY        650.124.1334   \n",
       "62           128       Steven       Markle   SMARKLE        650.124.1434   \n",
       "63           129        Laura       Bissot   LBISSOT        650.124.5234   \n",
       "64           130        Mozhe     Atkinson  MATKINSO        650.124.6234   \n",
       "65           131        James       Marlow   JAMRLOW        650.124.7234   \n",
       "66           132           TJ        Olson   TJOLSON        650.124.8234   \n",
       "67           133        Jason       Mallin   JMALLIN        650.127.1934   \n",
       "68           134      Michael       Rogers   MROGERS        650.127.1834   \n",
       "69           135           Ki          Gee      KGEE        650.127.1734   \n",
       "70           136        Hazel   Philtanker  HPHILTAN        650.127.1634   \n",
       "71           137       Renske       Ladwig   RLADWIG        650.121.1234   \n",
       "72           138      Stephen       Stiles   SSTILES        650.121.2034   \n",
       "73           139         John          Seo      JSEO        650.121.2019   \n",
       "74           140       Joshua        Patel    JPATEL        650.121.1834   \n",
       "75           141       Trenna         Rajs     TRAJS        650.121.8009   \n",
       "76           142       Curtis       Davies   CDAVIES        650.121.2994   \n",
       "77           143      Randall        Matos    RMATOS        650.121.2874   \n",
       "78           144        Peter       Vargas   PVARGAS        650.121.2004   \n",
       "79           178    Kimberely        Grant    KGRANT  011.44.1644.429263   \n",
       "80           180      Winston       Taylor   WTAYLOR        650.507.9876   \n",
       "81           181         Jean       Fleaur   JFLEAUR        650.507.9877   \n",
       "82           182       Martha     Sullivan  MSULLIVA        650.507.9878   \n",
       "83           183       Girard        Geoni    GGEONI        650.507.9879   \n",
       "84           184      Nandita     Sarchand  NSARCHAN        650.509.1876   \n",
       "85           185       Alexis         Bull     ABULL        650.509.2876   \n",
       "86           186        Julia    Dellinger  JDELLING        650.509.3876   \n",
       "87           187      Anthony       Cabrio   ACABRIO        650.509.4876   \n",
       "88           188        Kelly        Chung    KCHUNG        650.505.1876   \n",
       "89           189     Jennifer        Dilly    JDILLY        650.505.2876   \n",
       "90           190      Timothy        Gates    TGATES        650.505.3876   \n",
       "91           191      Randall      Perkins  RPERKINS        650.505.4876   \n",
       "92           192        Sarah         Bell     SBELL        650.501.1876   \n",
       "93           193      Britney      Everett  BEVERETT        650.501.2876   \n",
       "94           194       Samuel       McCain   SMCCAIN        650.501.3876   \n",
       "95           195        Vance        Jones    VJONES        650.501.4876   \n",
       "96           196        Alana        Walsh    AWALSH        650.507.9811   \n",
       "97           197        Kevin       Feeney   KFEENEY        650.507.9822   \n",
       "98           198       Donald     OConnell  DOCONNEL        650.507.9833   \n",
       "99           199      Douglas        Grant    DGRANT        650.507.9844   \n",
       "100          200     Jennifer       Whalen   JWHALEN        515.123.4444   \n",
       "101          201      Michael    Hartstein  MHARTSTE        515.123.5555   \n",
       "102          202          Pat          Fay      PFAY        603.123.6666   \n",
       "103          203        Susan       Mavris   SMAVRIS        515.123.7777   \n",
       "104          204      Hermann         Baer     HBAER        515.123.8888   \n",
       "105          205      Shelley      Higgins  SHIGGINS        515.123.8080   \n",
       "106          206      William        Gietz    WGIETZ      51hr5.123.8181   \n",
       "\n",
       "      hire_date      job_id  salary commission_pct manager_id  department_id  \n",
       "0    1996-10-01      SA_MAN   14000            0.4        100           80.0  \n",
       "1    1997-01-05      SA_MAN   13500            0.3        100           80.0  \n",
       "2    1997-03-10      SA_MAN   12000            0.3        100           80.0  \n",
       "3    1999-10-15      SA_MAN   11000            0.3        100           80.0  \n",
       "4    2000-01-29      SA_MAN   10500            0.2        100           80.0  \n",
       "5    1997-01-30      SA_REP   10000            0.3        145           80.0  \n",
       "6    1997-03-24      SA_REP    9500           0.25        145           80.0  \n",
       "7    1997-08-20      SA_REP    9000           0.25        145           80.0  \n",
       "8    1998-03-30      SA_REP    8000            0.2        145           80.0  \n",
       "9    1998-12-09      SA_REP    7500            0.2        145           80.0  \n",
       "10   1999-11-23      SA_REP    7000           0.15        145           80.0  \n",
       "11   1996-01-30      SA_REP   10000           0.35        146           80.0  \n",
       "12   1996-03-04      SA_REP    9500           0.35        146           80.0  \n",
       "13   1996-08-01      SA_REP    9000           0.35        146           80.0  \n",
       "14   1997-03-10      SA_REP    8000            0.3        146           80.0  \n",
       "15   1997-12-15      SA_REP    7500            0.3        146           80.0  \n",
       "16   1998-11-03      SA_REP    7000           0.25        146           80.0  \n",
       "17   1997-11-11      SA_REP   10500           0.25        147           80.0  \n",
       "18   1999-03-19      SA_REP    9500           0.15        147           80.0  \n",
       "19   2000-01-24      SA_REP    7200            0.1        147           80.0  \n",
       "20   2000-02-23      SA_REP    6800            0.1        147           80.0  \n",
       "21   2000-03-24      SA_REP    6400            0.1        147           80.0  \n",
       "22   2000-04-21      SA_REP    6200            0.1        147           80.0  \n",
       "23   1997-03-11      SA_REP   11500           0.25        148           80.0  \n",
       "24   1998-03-23      SA_REP   10000            0.2        148           80.0  \n",
       "25   1998-01-24      SA_REP    9600            0.2        148           80.0  \n",
       "26   1999-02-23      SA_REP    7400           0.15        148           80.0  \n",
       "27   1999-03-24      SA_REP    7300           0.15        148           80.0  \n",
       "28   2000-04-21      SA_REP    6100            0.1        148           80.0  \n",
       "29   1996-05-11      SA_REP   11000            0.3        149           80.0  \n",
       "30   1997-03-19      SA_REP    8800           0.25        149           80.0  \n",
       "31   1998-03-24      SA_REP    8600            0.2        149           80.0  \n",
       "32   1998-04-23      SA_REP    8400            0.2        149           80.0  \n",
       "33   2000-01-04      SA_REP    6200            0.1        149           80.0  \n",
       "34   1987-06-17     AD_PRES   25000           None       None           90.0  \n",
       "35   1989-09-21       AD_VP   17000           None        100           90.0  \n",
       "36   1993-01-13       AD_VP   17000           None        100           90.0  \n",
       "37   1990-01-03     IT_PROG    9000           None        102           60.0  \n",
       "38   1991-05-21     IT_PROG    6000           None        103           60.0  \n",
       "39   1997-06-25     IT_PROG    4800           None        103           60.0  \n",
       "40   1998-02-05     IT_PROG    4800           None        103           60.0  \n",
       "41   1999-02-07     IT_PROG    4200           None        103           60.0  \n",
       "42   1994-08-17      FI_MGR   12000           None        101          100.0  \n",
       "43   1994-08-16  FI_ACCOUNT    9000           None        108          100.0  \n",
       "44   1997-09-28  FI_ACCOUNT    8200           None        108          100.0  \n",
       "45   1997-09-30  FI_ACCOUNT    7700           None        108          100.0  \n",
       "46   1998-03-07  FI_ACCOUNT    7800           None        108          100.0  \n",
       "47   1999-12-07  FI_ACCOUNT    6900           None        108          100.0  \n",
       "48   1994-12-07      PU_MAN   11000           None        100           30.0  \n",
       "49   1995-05-18    PU_CLERK    3100           None        114           30.0  \n",
       "50   1997-12-24    PU_CLERK    2900           None        114           30.0  \n",
       "51   1997-07-24    PU_CLERK    2800           None        114           30.0  \n",
       "52   1998-11-15    PU_CLERK    2600           None        114           30.0  \n",
       "53   1999-08-10    PU_CLERK    2500           None        114           30.0  \n",
       "54   1996-07-18      ST_MAN    8000           None        100           50.0  \n",
       "55   1997-04-10      ST_MAN    8200           None        100           50.0  \n",
       "56   1995-05-01      ST_MAN    7900           None        100           50.0  \n",
       "57   1997-10-10      ST_MAN    6500           None        100           50.0  \n",
       "58   1999-11-16      ST_MAN    5800           None        100           50.0  \n",
       "59   1997-07-16    ST_CLERK    3200           None        120           50.0  \n",
       "60   1998-09-28    ST_CLERK    2700           None        120           50.0  \n",
       "61   1999-01-14    ST_CLERK    2400           None        120           50.0  \n",
       "62   2000-03-08    ST_CLERK    2200           None        120           50.0  \n",
       "63   1997-08-20    ST_CLERK    3300           None        121           50.0  \n",
       "64   1997-10-30    ST_CLERK    2800           None        121           50.0  \n",
       "65   1997-02-16    ST_CLERK    2500           None        121           50.0  \n",
       "66   1999-04-10    ST_CLERK    2100           None        121           50.0  \n",
       "67   1996-06-14    ST_CLERK    3300           None        122           50.0  \n",
       "68   1998-08-26    ST_CLERK    2900           None        122           50.0  \n",
       "69   1999-12-12    ST_CLERK    2400           None        122           50.0  \n",
       "70   2000-02-06    ST_CLERK    2200           None        122           50.0  \n",
       "71   1995-07-14    ST_CLERK    3600           None        123           50.0  \n",
       "72   1997-10-26    ST_CLERK    3200           None        123           50.0  \n",
       "73   1998-02-12    ST_CLERK    2700           None        123           50.0  \n",
       "74   1998-04-06    ST_CLERK    2500           None        123           50.0  \n",
       "75   1995-10-17    ST_CLERK    3500           None        124           50.0  \n",
       "76   1997-01-29    ST_CLERK    3100           None        124           50.0  \n",
       "77   1998-03-15    ST_CLERK    2600           None        124           50.0  \n",
       "78   1998-07-09    ST_CLERK    2500           None        124           50.0  \n",
       "79   1999-05-24      SA_REP    7000           0.15        149            NaN  \n",
       "80   1998-01-24    SH_CLERK    3200           None        120           50.0  \n",
       "81   1998-02-23    SH_CLERK    3100           None        120           50.0  \n",
       "82   1999-06-21    SH_CLERK    2500           None        120           50.0  \n",
       "83   2000-02-03    SH_CLERK    2800           None        120           50.0  \n",
       "84   1996-01-27    SH_CLERK    4200           None        121           50.0  \n",
       "85   1997-02-20    SH_CLERK    4100           None        121           50.0  \n",
       "86   1998-06-24    SH_CLERK    3400           None        121           50.0  \n",
       "87   1999-02-07    SH_CLERK    3000           None        121           50.0  \n",
       "88   1997-06-14    SH_CLERK    3800           None        122           50.0  \n",
       "89   1997-08-13    SH_CLERK    3600           None        122           50.0  \n",
       "90   1998-07-11    SH_CLERK    2900           None        122           50.0  \n",
       "91   1999-12-19    SH_CLERK    2500           None        122           50.0  \n",
       "92   1996-02-04    SH_CLERK    4000           None        123           50.0  \n",
       "93   1997-03-03    SH_CLERK    3900           None        123           50.0  \n",
       "94   1998-07-01    SH_CLERK    3200           None        123           50.0  \n",
       "95   1999-03-17    SH_CLERK    2800           None        123           50.0  \n",
       "96   1998-04-24    SH_CLERK    3100           None        124           50.0  \n",
       "97   1998-05-23    SH_CLERK    3000           None        124           50.0  \n",
       "98   1999-06-21    SH_CLERK    2600           None        124           50.0  \n",
       "99   2000-01-13    SH_CLERK    2600           None        124           50.0  \n",
       "100  1987-09-17     AD_ASST    4400           None        101           10.0  \n",
       "101  1996-02-17      MK_MAN   13000           None        100           20.0  \n",
       "102  1997-08-17      MK_REP    6000           None        201           20.0  \n",
       "103  1994-06-07      HR_REP    6500           None        101           40.0  \n",
       "104  1994-06-07      PR_REP   10000           None        101           70.0  \n",
       "105  1994-06-07      AC_MGR   12000           None        101          110.0  \n",
       "106  1994-06-07  AC_ACCOUNT    8300           None        205          110.0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "SELECT \n",
    "*\n",
    "FROM\n",
    "employees\n",
    "where department_id = 80\n",
    "\n",
    "UNION\n",
    "\n",
    "SELECT \n",
    "*\n",
    "FROM\n",
    "employees\n",
    "WHERE\n",
    "salary >= 1000\n",
    "\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e1c7be1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dcfaad13",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3989ae30",
   "metadata": {},
   "source": [
    "### Problem Statement:\n",
    "\n",
    "### create a view as 'empview' that has the details like employeeid, firstname, lastname, salary, departmentid, departmentname, locationid, streetaddress, city. Print from the view of all those employees who are from the cities Seattle or Southlake and display all the records in the emp_view.\n",
    "\n",
    "Return the view with columns 'employee_id', 'first_name', 'last_name', 'salary', 'department_id', 'department_name', 'location_id', 'street_address', 'city'."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50b1fe28",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "    CREATE VIEW  empview   AS\n",
    "\n",
    "        SELECT \n",
    "            e.employee_id,\n",
    "            e.first_name,\n",
    "            e.last_name,\n",
    "            e.salary,\n",
    "            e.department_id,\n",
    "            d.department_name,\n",
    "            d.location_id,\n",
    "            l.street_address,\n",
    "            l.city\n",
    "        FROM\n",
    "            employees as e\n",
    "                join departments as d\n",
    "                    on d.department_id = e.department_id\n",
    "                join locations as l\n",
    "                    on l.location_id = d.location_id\n",
    "            \n",
    "        \n",
    "            \n",
    "        \n",
    "            \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1bb99592",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>salary</th>\n",
       "      <th>department_id</th>\n",
       "      <th>department_name</th>\n",
       "      <th>location_id</th>\n",
       "      <th>street_address</th>\n",
       "      <th>city</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven</td>\n",
       "      <td>King</td>\n",
       "      <td>25000</td>\n",
       "      <td>90</td>\n",
       "      <td>Executive</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena</td>\n",
       "      <td>Kochhar</td>\n",
       "      <td>17000</td>\n",
       "      <td>90</td>\n",
       "      <td>Executive</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex</td>\n",
       "      <td>De Haan</td>\n",
       "      <td>17000</td>\n",
       "      <td>90</td>\n",
       "      <td>Executive</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>103</td>\n",
       "      <td>Alexander</td>\n",
       "      <td>Hunold</td>\n",
       "      <td>9000</td>\n",
       "      <td>60</td>\n",
       "      <td>IT</td>\n",
       "      <td>1400</td>\n",
       "      <td>2014 Jabberwocky Rd</td>\n",
       "      <td>Southlake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>104</td>\n",
       "      <td>Bruce</td>\n",
       "      <td>Ernst</td>\n",
       "      <td>6000</td>\n",
       "      <td>60</td>\n",
       "      <td>IT</td>\n",
       "      <td>1400</td>\n",
       "      <td>2014 Jabberwocky Rd</td>\n",
       "      <td>Southlake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>105</td>\n",
       "      <td>David</td>\n",
       "      <td>Austin</td>\n",
       "      <td>4800</td>\n",
       "      <td>60</td>\n",
       "      <td>IT</td>\n",
       "      <td>1400</td>\n",
       "      <td>2014 Jabberwocky Rd</td>\n",
       "      <td>Southlake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>106</td>\n",
       "      <td>Valli</td>\n",
       "      <td>Pataballa</td>\n",
       "      <td>4800</td>\n",
       "      <td>60</td>\n",
       "      <td>IT</td>\n",
       "      <td>1400</td>\n",
       "      <td>2014 Jabberwocky Rd</td>\n",
       "      <td>Southlake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>107</td>\n",
       "      <td>Diana</td>\n",
       "      <td>Lorentz</td>\n",
       "      <td>4200</td>\n",
       "      <td>60</td>\n",
       "      <td>IT</td>\n",
       "      <td>1400</td>\n",
       "      <td>2014 Jabberwocky Rd</td>\n",
       "      <td>Southlake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>108</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Greenberg</td>\n",
       "      <td>12000</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>109</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>Faviet</td>\n",
       "      <td>9000</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>110</td>\n",
       "      <td>John</td>\n",
       "      <td>Chen</td>\n",
       "      <td>8200</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>111</td>\n",
       "      <td>Ismael</td>\n",
       "      <td>Sciarra</td>\n",
       "      <td>7700</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>112</td>\n",
       "      <td>Jose Manuel</td>\n",
       "      <td>Urman</td>\n",
       "      <td>7800</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>113</td>\n",
       "      <td>Luis</td>\n",
       "      <td>Popp</td>\n",
       "      <td>6900</td>\n",
       "      <td>100</td>\n",
       "      <td>Finance</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>114</td>\n",
       "      <td>Den</td>\n",
       "      <td>Raphaely</td>\n",
       "      <td>11000</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>115</td>\n",
       "      <td>Alexander</td>\n",
       "      <td>Khoo</td>\n",
       "      <td>3100</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>116</td>\n",
       "      <td>Shelli</td>\n",
       "      <td>Baida</td>\n",
       "      <td>2900</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>117</td>\n",
       "      <td>Sigal</td>\n",
       "      <td>Tobias</td>\n",
       "      <td>2800</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>118</td>\n",
       "      <td>Guy</td>\n",
       "      <td>Himuro</td>\n",
       "      <td>2600</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>119</td>\n",
       "      <td>Karen</td>\n",
       "      <td>Colmenares</td>\n",
       "      <td>2500</td>\n",
       "      <td>30</td>\n",
       "      <td>Purchasing</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>200</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Whalen</td>\n",
       "      <td>4400</td>\n",
       "      <td>10</td>\n",
       "      <td>Administration</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>205</td>\n",
       "      <td>Shelley</td>\n",
       "      <td>Higgins</td>\n",
       "      <td>12000</td>\n",
       "      <td>110</td>\n",
       "      <td>Accounting</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>206</td>\n",
       "      <td>William</td>\n",
       "      <td>Gietz</td>\n",
       "      <td>8300</td>\n",
       "      <td>110</td>\n",
       "      <td>Accounting</td>\n",
       "      <td>1700</td>\n",
       "      <td>2004 Charade Rd</td>\n",
       "      <td>Seattle</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    employee_id   first_name   last_name  salary  department_id  \\\n",
       "0           100       Steven        King   25000             90   \n",
       "1           101        Neena     Kochhar   17000             90   \n",
       "2           102          Lex     De Haan   17000             90   \n",
       "3           103    Alexander      Hunold    9000             60   \n",
       "4           104        Bruce       Ernst    6000             60   \n",
       "5           105        David      Austin    4800             60   \n",
       "6           106        Valli   Pataballa    4800             60   \n",
       "7           107        Diana     Lorentz    4200             60   \n",
       "8           108        Nancy   Greenberg   12000            100   \n",
       "9           109       Daniel      Faviet    9000            100   \n",
       "10          110         John        Chen    8200            100   \n",
       "11          111       Ismael     Sciarra    7700            100   \n",
       "12          112  Jose Manuel       Urman    7800            100   \n",
       "13          113         Luis        Popp    6900            100   \n",
       "14          114          Den    Raphaely   11000             30   \n",
       "15          115    Alexander        Khoo    3100             30   \n",
       "16          116       Shelli       Baida    2900             30   \n",
       "17          117        Sigal      Tobias    2800             30   \n",
       "18          118          Guy      Himuro    2600             30   \n",
       "19          119        Karen  Colmenares    2500             30   \n",
       "20          200     Jennifer      Whalen    4400             10   \n",
       "21          205      Shelley     Higgins   12000            110   \n",
       "22          206      William       Gietz    8300            110   \n",
       "\n",
       "   department_name  location_id       street_address       city  \n",
       "0        Executive         1700      2004 Charade Rd    Seattle  \n",
       "1        Executive         1700      2004 Charade Rd    Seattle  \n",
       "2        Executive         1700      2004 Charade Rd    Seattle  \n",
       "3               IT         1400  2014 Jabberwocky Rd  Southlake  \n",
       "4               IT         1400  2014 Jabberwocky Rd  Southlake  \n",
       "5               IT         1400  2014 Jabberwocky Rd  Southlake  \n",
       "6               IT         1400  2014 Jabberwocky Rd  Southlake  \n",
       "7               IT         1400  2014 Jabberwocky Rd  Southlake  \n",
       "8          Finance         1700      2004 Charade Rd    Seattle  \n",
       "9          Finance         1700      2004 Charade Rd    Seattle  \n",
       "10         Finance         1700      2004 Charade Rd    Seattle  \n",
       "11         Finance         1700      2004 Charade Rd    Seattle  \n",
       "12         Finance         1700      2004 Charade Rd    Seattle  \n",
       "13         Finance         1700      2004 Charade Rd    Seattle  \n",
       "14      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "15      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "16      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "17      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "18      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "19      Purchasing         1700      2004 Charade Rd    Seattle  \n",
       "20  Administration         1700      2004 Charade Rd    Seattle  \n",
       "21      Accounting         1700      2004 Charade Rd    Seattle  \n",
       "22      Accounting         1700      2004 Charade Rd    Seattle  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "select \n",
    "*\n",
    "from\n",
    "empview\n",
    "where\n",
    "city in (\"Seattle\",\"Southlake\")\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa30cf12",
   "metadata": {},
   "source": [
    "### Extract all the id's of the managers(only distinct values) from both the \"Employees\" and the \"Departments\" table.\n",
    "\n",
    "Return the column 'manager_id'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "27432bea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manager_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   manager_id\n",
       "0        None\n",
       "1         100\n",
       "2         101\n",
       "3         102\n",
       "4         103\n",
       "5         108\n",
       "6         114\n",
       "7         120\n",
       "8         121\n",
       "9         122\n",
       "10        123\n",
       "11        124\n",
       "12        145\n",
       "13        146\n",
       "14        147\n",
       "15        148\n",
       "16        149\n",
       "17        200\n",
       "18        201\n",
       "19        203\n",
       "20        204\n",
       "21        205"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "select \n",
    "distinct(manager_id)\n",
    "from\n",
    "departments\n",
    "\n",
    "union\n",
    "\n",
    "select\n",
    "distinct(manager_id)\n",
    "from \n",
    "employees\n",
    "\n",
    "order by manager_id\n",
    "\n",
    "\n",
    ";\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e2c40fe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e46e2a8e",
   "metadata": {},
   "source": [
    "#### Problem Statement:\n",
    "\n",
    "### Use CTEs and display the 12th highest salary from the employee's table.\n",
    "\n",
    "Return the column 'salary'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d784503c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   salary\n",
       "0    9500"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "WITH emp AS\n",
    "    (\n",
    "        SELECT\n",
    "            *,\n",
    "            dense_rank() over(order by salary desc) salary_dense_rank\n",
    "        FROM\n",
    "            employees\n",
    "        \n",
    "    )\n",
    "SELECT \n",
    "    distinct\n",
    "    salary\n",
    "    \n",
    "FROM\n",
    "    emp\n",
    "where \n",
    "    salary_dense_rank = 12\n",
    "\n",
    ";\n",
    "\n",
    "\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe94781f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0b081c8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "842b7f06",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "93dda3f9",
   "metadata": {},
   "source": [
    "#### Problem Statement:\n",
    "\n",
    "### Create a view as 'Manager_details' with Manager's employee id, manager's name(first name and last name separated by space) as 'Manager' salary, phone number, department id and name, street address, city, country name. \n",
    "### Display the details employee_id, Manager, salary, and department_name from the view 'Manager_details' of those Top 5 managers with the highest salary.\n",
    "\n",
    "Return the view with columns 'employee_id', 'Manager', 'salary', 'phone_number', 'department_id', 'department_name' , 'street_address', 'city', 'country_name'."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "891df08a",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "    CREATE VIEW  Manager_details   AS\n",
    "\n",
    "        select \n",
    "            distinct\n",
    "            m.employee_id,\n",
    "            concat(m.first_name,\" \",m.last_name) as manager,\n",
    "            m.salary,\n",
    "            m.department_id,\n",
    "            d.department_name,\n",
    "            l.street_address,\n",
    "            c.country_name\n",
    "        from\n",
    "            employees as m\n",
    "                join employees as e\n",
    "                on m.employee_id = e.manager_id\n",
    "            left join departments as d\n",
    "                on d.department_id = m.department_id\n",
    "            left join locations as l\n",
    "                on l.location_id = d.location_id\n",
    "            left join countries as c\n",
    "                on c.country_id = l.country_id\n",
    "        \n",
    "\n",
    "\n",
    "        \n",
    "            \n",
    "        \n",
    "            \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3d690400",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import pandas as pd'); }\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>manager</th>\n",
       "      <th>salary</th>\n",
       "      <th>department_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>Steven King</td>\n",
       "      <td>25000</td>\n",
       "      <td>Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>102</td>\n",
       "      <td>Lex De Haan</td>\n",
       "      <td>17000</td>\n",
       "      <td>Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101</td>\n",
       "      <td>Neena Kochhar</td>\n",
       "      <td>17000</td>\n",
       "      <td>Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>145</td>\n",
       "      <td>John Russell</td>\n",
       "      <td>14000</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>146</td>\n",
       "      <td>Karen Partners</td>\n",
       "      <td>13500</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   employee_id         manager  salary department_name\n",
       "0          100     Steven King   25000       Executive\n",
       "1          102     Lex De Haan   17000       Executive\n",
       "2          101   Neena Kochhar   17000       Executive\n",
       "3          145    John Russell   14000           Sales\n",
       "4          146  Karen Partners   13500           Sales"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql_query(\"\"\"\n",
    "\n",
    "\n",
    "select \n",
    "    employee_id,\n",
    "    manager,\n",
    "    salary,\n",
    "    department_name\n",
    "from \n",
    "    Manager_details\n",
    "order by \n",
    "    salary desc\n",
    "limit 5\n",
    "\"\"\",conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b70078cc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b49f2108",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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