Cleaning&Exploration-.ipynb

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   "outputs": [
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     "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>536365</td>\n",
       "      <td>22752</td>\n",
       "      <td>SET 7 BABUSHKA NESTING BOXES</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>7.65</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>536365</td>\n",
       "      <td>21730</td>\n",
       "      <td>GLASS STAR FROSTED T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>536366</td>\n",
       "      <td>22633</td>\n",
       "      <td>HAND WARMER UNION JACK</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:28:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>536366</td>\n",
       "      <td>22632</td>\n",
       "      <td>HAND WARMER RED POLKA DOT</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:28:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>536367</td>\n",
       "      <td>84879</td>\n",
       "      <td>ASSORTED COLOUR BIRD ORNAMENT</td>\n",
       "      <td>32</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>1.69</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>536367</td>\n",
       "      <td>22745</td>\n",
       "      <td>POPPY'S PLAYHOUSE BEDROOM</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>536367</td>\n",
       "      <td>22748</td>\n",
       "      <td>POPPY'S PLAYHOUSE KITCHEN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>536367</td>\n",
       "      <td>22749</td>\n",
       "      <td>FELTCRAFT PRINCESS CHARLOTTE DOLL</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>536367</td>\n",
       "      <td>22310</td>\n",
       "      <td>IVORY KNITTED MUG COSY</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>1.65</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>536367</td>\n",
       "      <td>84969</td>\n",
       "      <td>BOX OF 6 ASSORTED COLOUR TEASPOONS</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>536367</td>\n",
       "      <td>22623</td>\n",
       "      <td>BOX OF VINTAGE JIGSAW BLOCKS</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>536367</td>\n",
       "      <td>22622</td>\n",
       "      <td>BOX OF VINTAGE ALPHABET BLOCKS</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>9.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>536367</td>\n",
       "      <td>21754</td>\n",
       "      <td>HOME BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>536367</td>\n",
       "      <td>21755</td>\n",
       "      <td>LOVE BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>536367</td>\n",
       "      <td>21777</td>\n",
       "      <td>RECIPE BOX WITH METAL HEART</td>\n",
       "      <td>4</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>7.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>536367</td>\n",
       "      <td>48187</td>\n",
       "      <td>DOORMAT NEW ENGLAND</td>\n",
       "      <td>4</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>7.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>536368</td>\n",
       "      <td>22960</td>\n",
       "      <td>JAM MAKING SET WITH JARS</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>536368</td>\n",
       "      <td>22913</td>\n",
       "      <td>RED COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>536368</td>\n",
       "      <td>22912</td>\n",
       "      <td>YELLOW COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>536368</td>\n",
       "      <td>22914</td>\n",
       "      <td>BLUE COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>536369</td>\n",
       "      <td>21756</td>\n",
       "      <td>BATH BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:35:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>536370</td>\n",
       "      <td>22728</td>\n",
       "      <td>ALARM CLOCK BAKELIKE PINK</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>536370</td>\n",
       "      <td>22727</td>\n",
       "      <td>ALARM CLOCK BAKELIKE RED</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>536370</td>\n",
       "      <td>22726</td>\n",
       "      <td>ALARM CLOCK BAKELIKE GREEN</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>536370</td>\n",
       "      <td>21724</td>\n",
       "      <td>PANDA AND BUNNIES STICKER SHEET</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>536370</td>\n",
       "      <td>21883</td>\n",
       "      <td>STARS GIFT TAPE</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>536370</td>\n",
       "      <td>10002</td>\n",
       "      <td>INFLATABLE POLITICAL GLOBE</td>\n",
       "      <td>48</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>536370</td>\n",
       "      <td>21791</td>\n",
       "      <td>VINTAGE HEADS AND TAILS CARD GAME</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>536370</td>\n",
       "      <td>21035</td>\n",
       "      <td>SET/2 RED RETROSPOT TEA TOWELS</td>\n",
       "      <td>18</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>536370</td>\n",
       "      <td>22326</td>\n",
       "      <td>ROUND SNACK BOXES SET OF4 WOODLAND</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>536370</td>\n",
       "      <td>22629</td>\n",
       "      <td>SPACEBOY LUNCH BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>536370</td>\n",
       "      <td>22659</td>\n",
       "      <td>LUNCH BOX I LOVE LONDON</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>536370</td>\n",
       "      <td>22631</td>\n",
       "      <td>CIRCUS PARADE LUNCH BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>536370</td>\n",
       "      <td>22661</td>\n",
       "      <td>CHARLOTTE BAG DOLLY GIRL DESIGN</td>\n",
       "      <td>20</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>536370</td>\n",
       "      <td>21731</td>\n",
       "      <td>RED TOADSTOOL LED NIGHT LIGHT</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>536370</td>\n",
       "      <td>22900</td>\n",
       "      <td>SET 2 TEA TOWELS I LOVE LONDON</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>536370</td>\n",
       "      <td>21913</td>\n",
       "      <td>VINTAGE SEASIDE JIGSAW PUZZLES</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>536370</td>\n",
       "      <td>22540</td>\n",
       "      <td>MINI JIGSAW CIRCUS PARADE</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.42</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>536370</td>\n",
       "      <td>22544</td>\n",
       "      <td>MINI JIGSAW SPACEBOY</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.42</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>536370</td>\n",
       "      <td>22492</td>\n",
       "      <td>MINI PAINT SET VINTAGE</td>\n",
       "      <td>36</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>536370</td>\n",
       "      <td>POST</td>\n",
       "      <td>POSTAGE</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>536371</td>\n",
       "      <td>22086</td>\n",
       "      <td>PAPER CHAIN KIT 50'S CHRISTMAS</td>\n",
       "      <td>80</td>\n",
       "      <td>2010-12-01 09:00:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>13748.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>536372</td>\n",
       "      <td>22632</td>\n",
       "      <td>HAND WARMER RED POLKA DOT</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:01:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>536372</td>\n",
       "      <td>22633</td>\n",
       "      <td>HAND WARMER UNION JACK</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:01:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>536373</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:02:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0     536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1     536365     71053                  WHITE METAL LANTERN         6   \n",
       "2     536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3     536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4     536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "5     536365     22752         SET 7 BABUSHKA NESTING BOXES         2   \n",
       "6     536365     21730    GLASS STAR FROSTED T-LIGHT HOLDER         6   \n",
       "7     536366     22633               HAND WARMER UNION JACK         6   \n",
       "8     536366     22632            HAND WARMER RED POLKA DOT         6   \n",
       "9     536367     84879        ASSORTED COLOUR BIRD ORNAMENT        32   \n",
       "10    536367     22745           POPPY'S PLAYHOUSE BEDROOM          6   \n",
       "11    536367     22748            POPPY'S PLAYHOUSE KITCHEN         6   \n",
       "12    536367     22749    FELTCRAFT PRINCESS CHARLOTTE DOLL         8   \n",
       "13    536367     22310              IVORY KNITTED MUG COSY          6   \n",
       "14    536367     84969   BOX OF 6 ASSORTED COLOUR TEASPOONS         6   \n",
       "15    536367     22623        BOX OF VINTAGE JIGSAW BLOCKS          3   \n",
       "16    536367     22622       BOX OF VINTAGE ALPHABET BLOCKS         2   \n",
       "17    536367     21754             HOME BUILDING BLOCK WORD         3   \n",
       "18    536367     21755             LOVE BUILDING BLOCK WORD         3   \n",
       "19    536367     21777          RECIPE BOX WITH METAL HEART         4   \n",
       "20    536367     48187                  DOORMAT NEW ENGLAND         4   \n",
       "21    536368     22960             JAM MAKING SET WITH JARS         6   \n",
       "22    536368     22913          RED COAT RACK PARIS FASHION         3   \n",
       "23    536368     22912       YELLOW COAT RACK PARIS FASHION         3   \n",
       "24    536368     22914         BLUE COAT RACK PARIS FASHION         3   \n",
       "25    536369     21756             BATH BUILDING BLOCK WORD         3   \n",
       "26    536370     22728            ALARM CLOCK BAKELIKE PINK        24   \n",
       "27    536370     22727            ALARM CLOCK BAKELIKE RED         24   \n",
       "28    536370     22726           ALARM CLOCK BAKELIKE GREEN        12   \n",
       "29    536370     21724      PANDA AND BUNNIES STICKER SHEET        12   \n",
       "30    536370     21883                     STARS GIFT TAPE         24   \n",
       "31    536370     10002          INFLATABLE POLITICAL GLOBE         48   \n",
       "32    536370     21791   VINTAGE HEADS AND TAILS CARD GAME         24   \n",
       "33    536370     21035      SET/2 RED RETROSPOT TEA TOWELS         18   \n",
       "34    536370     22326  ROUND SNACK BOXES SET OF4 WOODLAND         24   \n",
       "35    536370     22629                  SPACEBOY LUNCH BOX         24   \n",
       "36    536370     22659              LUNCH BOX I LOVE LONDON        24   \n",
       "37    536370     22631             CIRCUS PARADE LUNCH BOX         24   \n",
       "38    536370     22661      CHARLOTTE BAG DOLLY GIRL DESIGN        20   \n",
       "39    536370     21731        RED TOADSTOOL LED NIGHT LIGHT        24   \n",
       "40    536370     22900      SET 2 TEA TOWELS I LOVE LONDON         24   \n",
       "41    536370     21913       VINTAGE SEASIDE JIGSAW PUZZLES        12   \n",
       "42    536370     22540           MINI JIGSAW CIRCUS PARADE         24   \n",
       "43    536370     22544                 MINI JIGSAW SPACEBOY        24   \n",
       "44    536370     22492              MINI PAINT SET VINTAGE         36   \n",
       "45    536370      POST                              POSTAGE         3   \n",
       "46    536371     22086      PAPER CHAIN KIT 50'S CHRISTMAS         80   \n",
       "47    536372     22632            HAND WARMER RED POLKA DOT         6   \n",
       "48    536372     22633               HAND WARMER UNION JACK         6   \n",
       "49    536373    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "\n",
       "           InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n",
       "1  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
       "2  2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n",
       "3  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
       "4  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
       "5  2010-12-01 08:26:00       7.65     17850.0  United Kingdom  \n",
       "6  2010-12-01 08:26:00       4.25     17850.0  United Kingdom  \n",
       "7  2010-12-01 08:28:00       1.85     17850.0  United Kingdom  \n",
       "8  2010-12-01 08:28:00       1.85     17850.0  United Kingdom  \n",
       "9  2010-12-01 08:34:00       1.69     13047.0  United Kingdom  \n",
       "10 2010-12-01 08:34:00       2.10     13047.0  United Kingdom  \n",
       "11 2010-12-01 08:34:00       2.10     13047.0  United Kingdom  \n",
       "12 2010-12-01 08:34:00       3.75     13047.0  United Kingdom  \n",
       "13 2010-12-01 08:34:00       1.65     13047.0  United Kingdom  \n",
       "14 2010-12-01 08:34:00       4.25     13047.0  United Kingdom  \n",
       "15 2010-12-01 08:34:00       4.95     13047.0  United Kingdom  \n",
       "16 2010-12-01 08:34:00       9.95     13047.0  United Kingdom  \n",
       "17 2010-12-01 08:34:00       5.95     13047.0  United Kingdom  \n",
       "18 2010-12-01 08:34:00       5.95     13047.0  United Kingdom  \n",
       "19 2010-12-01 08:34:00       7.95     13047.0  United Kingdom  \n",
       "20 2010-12-01 08:34:00       7.95     13047.0  United Kingdom  \n",
       "21 2010-12-01 08:34:00       4.25     13047.0  United Kingdom  \n",
       "22 2010-12-01 08:34:00       4.95     13047.0  United Kingdom  \n",
       "23 2010-12-01 08:34:00       4.95     13047.0  United Kingdom  \n",
       "24 2010-12-01 08:34:00       4.95     13047.0  United Kingdom  \n",
       "25 2010-12-01 08:35:00       5.95     13047.0  United Kingdom  \n",
       "26 2010-12-01 08:45:00       3.75     12583.0          France  \n",
       "27 2010-12-01 08:45:00       3.75     12583.0          France  \n",
       "28 2010-12-01 08:45:00       3.75     12583.0          France  \n",
       "29 2010-12-01 08:45:00       0.85     12583.0          France  \n",
       "30 2010-12-01 08:45:00       0.65     12583.0          France  \n",
       "31 2010-12-01 08:45:00       0.85     12583.0          France  \n",
       "32 2010-12-01 08:45:00       1.25     12583.0          France  \n",
       "33 2010-12-01 08:45:00       2.95     12583.0          France  \n",
       "34 2010-12-01 08:45:00       2.95     12583.0          France  \n",
       "35 2010-12-01 08:45:00       1.95     12583.0          France  \n",
       "36 2010-12-01 08:45:00       1.95     12583.0          France  \n",
       "37 2010-12-01 08:45:00       1.95     12583.0          France  \n",
       "38 2010-12-01 08:45:00       0.85     12583.0          France  \n",
       "39 2010-12-01 08:45:00       1.65     12583.0          France  \n",
       "40 2010-12-01 08:45:00       2.95     12583.0          France  \n",
       "41 2010-12-01 08:45:00       3.75     12583.0          France  \n",
       "42 2010-12-01 08:45:00       0.42     12583.0          France  \n",
       "43 2010-12-01 08:45:00       0.42     12583.0          France  \n",
       "44 2010-12-01 08:45:00       0.65     12583.0          France  \n",
       "45 2010-12-01 08:45:00      18.00     12583.0          France  \n",
       "46 2010-12-01 09:00:00       2.55     13748.0  United Kingdom  \n",
       "47 2010-12-01 09:01:00       1.85     17850.0  United Kingdom  \n",
       "48 2010-12-01 09:01:00       1.85     17850.0  United Kingdom  \n",
       "49 2010-12-01 09:02:00       2.55     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "sns.set()\n",
    "\n",
    "# Loading the excel file\n",
    "xl = pd.ExcelFile(\"Online Retail.xlsx\")\n",
    "\n",
    "# Loading our Excel sheet in a dataframe \n",
    "df = xl.parse('Online Retail')\n",
    "df.head(50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(541909, 8)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We visualize, using a barplot, Nans proportion in each column of our dataset.\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "df.isnull().mean(axis=0).plot.barh()\n",
    "plt.title(\"Proportion of NaNs in each column\")\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(406829, 8)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Our work is based on consumer knowledge, so we delete\n",
    "# the missing values present in the CustomerID column\n",
    "\n",
    "df.dropna(axis=0, subset=[\"CustomerID\"], inplace=True)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(406829, 8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 30))\n",
    "df.isnull().mean(axis=0).plot.barh()\n",
    "plt.title(\"Proportion of Nans in each column\")\n",
    "df.shape\n",
    "\n",
    "# We no longer have missing values in any of our columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(401604, 8)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Duplicate data is deleted (10,000 duplicates)\n",
    "\n",
    "df.drop_duplicates(inplace=True)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(392692, 8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We make sure to have only positive quantities and prices\n",
    "\n",
    "df = df[df[\"UnitPrice\"]>0]\n",
    "df = df[df[\"Quantity\"]>0]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure there are no holes in the missing indexes\n",
    "\n",
    "df = df.reset_index(level=0, drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory data analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creation of a new TotalPrice variable that represents the total price of purchased items\n",
    "\n",
    "df['TotalPrice'] = df['Quantity'] * df['UnitPrice']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creation of a variable giving only the billing date\n",
    "from datetime import datetime\n",
    "\n",
    "df[\"Date\"] = df[\"InvoiceDate\"].apply(lambda x: datetime.date(x))\n",
    "\n",
    "# Creation of a variable giving only the billing time\n",
    "df[\"Time\"] = df[\"InvoiceDate\"].apply(lambda x: datetime.time(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>536365</td>\n",
       "      <td>22752</td>\n",
       "      <td>SET 7 BABUSHKA NESTING BOXES</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>7.65</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>536365</td>\n",
       "      <td>21730</td>\n",
       "      <td>GLASS STAR FROSTED T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>25.50</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>536366</td>\n",
       "      <td>22633</td>\n",
       "      <td>HAND WARMER UNION JACK</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:28:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>11.10</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:28:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>536366</td>\n",
       "      <td>22632</td>\n",
       "      <td>HAND WARMER RED POLKA DOT</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:28:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>11.10</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:28:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>536367</td>\n",
       "      <td>84879</td>\n",
       "      <td>ASSORTED COLOUR BIRD ORNAMENT</td>\n",
       "      <td>32</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>1.69</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>54.08</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>536367</td>\n",
       "      <td>22745</td>\n",
       "      <td>POPPY'S PLAYHOUSE BEDROOM</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>12.60</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>536367</td>\n",
       "      <td>22748</td>\n",
       "      <td>POPPY'S PLAYHOUSE KITCHEN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>12.60</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>536367</td>\n",
       "      <td>22749</td>\n",
       "      <td>FELTCRAFT PRINCESS CHARLOTTE DOLL</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>30.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>536367</td>\n",
       "      <td>22310</td>\n",
       "      <td>IVORY KNITTED MUG COSY</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>1.65</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>9.90</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>536367</td>\n",
       "      <td>84969</td>\n",
       "      <td>BOX OF 6 ASSORTED COLOUR TEASPOONS</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>25.50</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>536367</td>\n",
       "      <td>22623</td>\n",
       "      <td>BOX OF VINTAGE JIGSAW BLOCKS</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>14.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>536367</td>\n",
       "      <td>22622</td>\n",
       "      <td>BOX OF VINTAGE ALPHABET BLOCKS</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>9.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>19.90</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>536367</td>\n",
       "      <td>21754</td>\n",
       "      <td>HOME BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>17.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>536367</td>\n",
       "      <td>21755</td>\n",
       "      <td>LOVE BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>17.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>536367</td>\n",
       "      <td>21777</td>\n",
       "      <td>RECIPE BOX WITH METAL HEART</td>\n",
       "      <td>4</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>7.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>31.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>536367</td>\n",
       "      <td>48187</td>\n",
       "      <td>DOORMAT NEW ENGLAND</td>\n",
       "      <td>4</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>7.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>31.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>536368</td>\n",
       "      <td>22960</td>\n",
       "      <td>JAM MAKING SET WITH JARS</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>25.50</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>536368</td>\n",
       "      <td>22913</td>\n",
       "      <td>RED COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>14.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>536368</td>\n",
       "      <td>22912</td>\n",
       "      <td>YELLOW COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>14.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>536368</td>\n",
       "      <td>22914</td>\n",
       "      <td>BLUE COAT RACK PARIS FASHION</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:34:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>14.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>536369</td>\n",
       "      <td>21756</td>\n",
       "      <td>BATH BUILDING BLOCK WORD</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:35:00</td>\n",
       "      <td>5.95</td>\n",
       "      <td>13047.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>17.85</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>536370</td>\n",
       "      <td>22728</td>\n",
       "      <td>ALARM CLOCK BAKELIKE PINK</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>90.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>536370</td>\n",
       "      <td>22727</td>\n",
       "      <td>ALARM CLOCK BAKELIKE RED</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>90.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>536370</td>\n",
       "      <td>22726</td>\n",
       "      <td>ALARM CLOCK BAKELIKE GREEN</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>45.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>536370</td>\n",
       "      <td>21724</td>\n",
       "      <td>PANDA AND BUNNIES STICKER SHEET</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>10.20</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>536370</td>\n",
       "      <td>21883</td>\n",
       "      <td>STARS GIFT TAPE</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>15.60</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>536370</td>\n",
       "      <td>10002</td>\n",
       "      <td>INFLATABLE POLITICAL GLOBE</td>\n",
       "      <td>48</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>40.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>536370</td>\n",
       "      <td>21791</td>\n",
       "      <td>VINTAGE HEADS AND TAILS CARD GAME</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>30.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>536370</td>\n",
       "      <td>21035</td>\n",
       "      <td>SET/2 RED RETROSPOT TEA TOWELS</td>\n",
       "      <td>18</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>53.10</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>536370</td>\n",
       "      <td>22326</td>\n",
       "      <td>ROUND SNACK BOXES SET OF4 WOODLAND</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>70.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>536370</td>\n",
       "      <td>22629</td>\n",
       "      <td>SPACEBOY LUNCH BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>46.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>536370</td>\n",
       "      <td>22659</td>\n",
       "      <td>LUNCH BOX I LOVE LONDON</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>46.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>536370</td>\n",
       "      <td>22631</td>\n",
       "      <td>CIRCUS PARADE LUNCH BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>46.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>536370</td>\n",
       "      <td>22661</td>\n",
       "      <td>CHARLOTTE BAG DOLLY GIRL DESIGN</td>\n",
       "      <td>20</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>17.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>536370</td>\n",
       "      <td>21731</td>\n",
       "      <td>RED TOADSTOOL LED NIGHT LIGHT</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>1.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>39.60</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>536370</td>\n",
       "      <td>22900</td>\n",
       "      <td>SET 2 TEA TOWELS I LOVE LONDON</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>70.80</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>536370</td>\n",
       "      <td>21913</td>\n",
       "      <td>VINTAGE SEASIDE JIGSAW PUZZLES</td>\n",
       "      <td>12</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>45.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>536370</td>\n",
       "      <td>22540</td>\n",
       "      <td>MINI JIGSAW CIRCUS PARADE</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.42</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>10.08</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>536370</td>\n",
       "      <td>22544</td>\n",
       "      <td>MINI JIGSAW SPACEBOY</td>\n",
       "      <td>24</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.42</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>10.08</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>536370</td>\n",
       "      <td>22492</td>\n",
       "      <td>MINI PAINT SET VINTAGE</td>\n",
       "      <td>36</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>23.40</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>536370</td>\n",
       "      <td>POST</td>\n",
       "      <td>POSTAGE</td>\n",
       "      <td>3</td>\n",
       "      <td>2010-12-01 08:45:00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>12583.0</td>\n",
       "      <td>France</td>\n",
       "      <td>54.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>536371</td>\n",
       "      <td>22086</td>\n",
       "      <td>PAPER CHAIN KIT 50'S CHRISTMAS</td>\n",
       "      <td>80</td>\n",
       "      <td>2010-12-01 09:00:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>13748.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>204.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>536372</td>\n",
       "      <td>22632</td>\n",
       "      <td>HAND WARMER RED POLKA DOT</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:01:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>11.10</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>09:01:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>536372</td>\n",
       "      <td>22633</td>\n",
       "      <td>HAND WARMER UNION JACK</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:01:00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>11.10</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>09:01:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>536373</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 09:02:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>09:02:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0     536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1     536365     71053                  WHITE METAL LANTERN         6   \n",
       "2     536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3     536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4     536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "5     536365     22752         SET 7 BABUSHKA NESTING BOXES         2   \n",
       "6     536365     21730    GLASS STAR FROSTED T-LIGHT HOLDER         6   \n",
       "7     536366     22633               HAND WARMER UNION JACK         6   \n",
       "8     536366     22632            HAND WARMER RED POLKA DOT         6   \n",
       "9     536367     84879        ASSORTED COLOUR BIRD ORNAMENT        32   \n",
       "10    536367     22745           POPPY'S PLAYHOUSE BEDROOM          6   \n",
       "11    536367     22748            POPPY'S PLAYHOUSE KITCHEN         6   \n",
       "12    536367     22749    FELTCRAFT PRINCESS CHARLOTTE DOLL         8   \n",
       "13    536367     22310              IVORY KNITTED MUG COSY          6   \n",
       "14    536367     84969   BOX OF 6 ASSORTED COLOUR TEASPOONS         6   \n",
       "15    536367     22623        BOX OF VINTAGE JIGSAW BLOCKS          3   \n",
       "16    536367     22622       BOX OF VINTAGE ALPHABET BLOCKS         2   \n",
       "17    536367     21754             HOME BUILDING BLOCK WORD         3   \n",
       "18    536367     21755             LOVE BUILDING BLOCK WORD         3   \n",
       "19    536367     21777          RECIPE BOX WITH METAL HEART         4   \n",
       "20    536367     48187                  DOORMAT NEW ENGLAND         4   \n",
       "21    536368     22960             JAM MAKING SET WITH JARS         6   \n",
       "22    536368     22913          RED COAT RACK PARIS FASHION         3   \n",
       "23    536368     22912       YELLOW COAT RACK PARIS FASHION         3   \n",
       "24    536368     22914         BLUE COAT RACK PARIS FASHION         3   \n",
       "25    536369     21756             BATH BUILDING BLOCK WORD         3   \n",
       "26    536370     22728            ALARM CLOCK BAKELIKE PINK        24   \n",
       "27    536370     22727            ALARM CLOCK BAKELIKE RED         24   \n",
       "28    536370     22726           ALARM CLOCK BAKELIKE GREEN        12   \n",
       "29    536370     21724      PANDA AND BUNNIES STICKER SHEET        12   \n",
       "30    536370     21883                     STARS GIFT TAPE         24   \n",
       "31    536370     10002          INFLATABLE POLITICAL GLOBE         48   \n",
       "32    536370     21791   VINTAGE HEADS AND TAILS CARD GAME         24   \n",
       "33    536370     21035      SET/2 RED RETROSPOT TEA TOWELS         18   \n",
       "34    536370     22326  ROUND SNACK BOXES SET OF4 WOODLAND         24   \n",
       "35    536370     22629                  SPACEBOY LUNCH BOX         24   \n",
       "36    536370     22659              LUNCH BOX I LOVE LONDON        24   \n",
       "37    536370     22631             CIRCUS PARADE LUNCH BOX         24   \n",
       "38    536370     22661      CHARLOTTE BAG DOLLY GIRL DESIGN        20   \n",
       "39    536370     21731        RED TOADSTOOL LED NIGHT LIGHT        24   \n",
       "40    536370     22900      SET 2 TEA TOWELS I LOVE LONDON         24   \n",
       "41    536370     21913       VINTAGE SEASIDE JIGSAW PUZZLES        12   \n",
       "42    536370     22540           MINI JIGSAW CIRCUS PARADE         24   \n",
       "43    536370     22544                 MINI JIGSAW SPACEBOY        24   \n",
       "44    536370     22492              MINI PAINT SET VINTAGE         36   \n",
       "45    536370      POST                              POSTAGE         3   \n",
       "46    536371     22086      PAPER CHAIN KIT 50'S CHRISTMAS         80   \n",
       "47    536372     22632            HAND WARMER RED POLKA DOT         6   \n",
       "48    536372     22633               HAND WARMER UNION JACK         6   \n",
       "49    536373    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "\n",
       "           InvoiceDate  UnitPrice  CustomerID         Country  TotalPrice  \\\n",
       "0  2010-12-01 08:26:00       2.55     17850.0  United Kingdom       15.30   \n",
       "1  2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "2  2010-12-01 08:26:00       2.75     17850.0  United Kingdom       22.00   \n",
       "3  2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "4  2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "5  2010-12-01 08:26:00       7.65     17850.0  United Kingdom       15.30   \n",
       "6  2010-12-01 08:26:00       4.25     17850.0  United Kingdom       25.50   \n",
       "7  2010-12-01 08:28:00       1.85     17850.0  United Kingdom       11.10   \n",
       "8  2010-12-01 08:28:00       1.85     17850.0  United Kingdom       11.10   \n",
       "9  2010-12-01 08:34:00       1.69     13047.0  United Kingdom       54.08   \n",
       "10 2010-12-01 08:34:00       2.10     13047.0  United Kingdom       12.60   \n",
       "11 2010-12-01 08:34:00       2.10     13047.0  United Kingdom       12.60   \n",
       "12 2010-12-01 08:34:00       3.75     13047.0  United Kingdom       30.00   \n",
       "13 2010-12-01 08:34:00       1.65     13047.0  United Kingdom        9.90   \n",
       "14 2010-12-01 08:34:00       4.25     13047.0  United Kingdom       25.50   \n",
       "15 2010-12-01 08:34:00       4.95     13047.0  United Kingdom       14.85   \n",
       "16 2010-12-01 08:34:00       9.95     13047.0  United Kingdom       19.90   \n",
       "17 2010-12-01 08:34:00       5.95     13047.0  United Kingdom       17.85   \n",
       "18 2010-12-01 08:34:00       5.95     13047.0  United Kingdom       17.85   \n",
       "19 2010-12-01 08:34:00       7.95     13047.0  United Kingdom       31.80   \n",
       "20 2010-12-01 08:34:00       7.95     13047.0  United Kingdom       31.80   \n",
       "21 2010-12-01 08:34:00       4.25     13047.0  United Kingdom       25.50   \n",
       "22 2010-12-01 08:34:00       4.95     13047.0  United Kingdom       14.85   \n",
       "23 2010-12-01 08:34:00       4.95     13047.0  United Kingdom       14.85   \n",
       "24 2010-12-01 08:34:00       4.95     13047.0  United Kingdom       14.85   \n",
       "25 2010-12-01 08:35:00       5.95     13047.0  United Kingdom       17.85   \n",
       "26 2010-12-01 08:45:00       3.75     12583.0          France       90.00   \n",
       "27 2010-12-01 08:45:00       3.75     12583.0          France       90.00   \n",
       "28 2010-12-01 08:45:00       3.75     12583.0          France       45.00   \n",
       "29 2010-12-01 08:45:00       0.85     12583.0          France       10.20   \n",
       "30 2010-12-01 08:45:00       0.65     12583.0          France       15.60   \n",
       "31 2010-12-01 08:45:00       0.85     12583.0          France       40.80   \n",
       "32 2010-12-01 08:45:00       1.25     12583.0          France       30.00   \n",
       "33 2010-12-01 08:45:00       2.95     12583.0          France       53.10   \n",
       "34 2010-12-01 08:45:00       2.95     12583.0          France       70.80   \n",
       "35 2010-12-01 08:45:00       1.95     12583.0          France       46.80   \n",
       "36 2010-12-01 08:45:00       1.95     12583.0          France       46.80   \n",
       "37 2010-12-01 08:45:00       1.95     12583.0          France       46.80   \n",
       "38 2010-12-01 08:45:00       0.85     12583.0          France       17.00   \n",
       "39 2010-12-01 08:45:00       1.65     12583.0          France       39.60   \n",
       "40 2010-12-01 08:45:00       2.95     12583.0          France       70.80   \n",
       "41 2010-12-01 08:45:00       3.75     12583.0          France       45.00   \n",
       "42 2010-12-01 08:45:00       0.42     12583.0          France       10.08   \n",
       "43 2010-12-01 08:45:00       0.42     12583.0          France       10.08   \n",
       "44 2010-12-01 08:45:00       0.65     12583.0          France       23.40   \n",
       "45 2010-12-01 08:45:00      18.00     12583.0          France       54.00   \n",
       "46 2010-12-01 09:00:00       2.55     13748.0  United Kingdom      204.00   \n",
       "47 2010-12-01 09:01:00       1.85     17850.0  United Kingdom       11.10   \n",
       "48 2010-12-01 09:01:00       1.85     17850.0  United Kingdom       11.10   \n",
       "49 2010-12-01 09:02:00       2.55     17850.0  United Kingdom       15.30   \n",
       "\n",
       "          Date      Time  \n",
       "0   2010-12-01  08:26:00  \n",
       "1   2010-12-01  08:26:00  \n",
       "2   2010-12-01  08:26:00  \n",
       "3   2010-12-01  08:26:00  \n",
       "4   2010-12-01  08:26:00  \n",
       "5   2010-12-01  08:26:00  \n",
       "6   2010-12-01  08:26:00  \n",
       "7   2010-12-01  08:28:00  \n",
       "8   2010-12-01  08:28:00  \n",
       "9   2010-12-01  08:34:00  \n",
       "10  2010-12-01  08:34:00  \n",
       "11  2010-12-01  08:34:00  \n",
       "12  2010-12-01  08:34:00  \n",
       "13  2010-12-01  08:34:00  \n",
       "14  2010-12-01  08:34:00  \n",
       "15  2010-12-01  08:34:00  \n",
       "16  2010-12-01  08:34:00  \n",
       "17  2010-12-01  08:34:00  \n",
       "18  2010-12-01  08:34:00  \n",
       "19  2010-12-01  08:34:00  \n",
       "20  2010-12-01  08:34:00  \n",
       "21  2010-12-01  08:34:00  \n",
       "22  2010-12-01  08:34:00  \n",
       "23  2010-12-01  08:34:00  \n",
       "24  2010-12-01  08:34:00  \n",
       "25  2010-12-01  08:35:00  \n",
       "26  2010-12-01  08:45:00  \n",
       "27  2010-12-01  08:45:00  \n",
       "28  2010-12-01  08:45:00  \n",
       "29  2010-12-01  08:45:00  \n",
       "30  2010-12-01  08:45:00  \n",
       "31  2010-12-01  08:45:00  \n",
       "32  2010-12-01  08:45:00  \n",
       "33  2010-12-01  08:45:00  \n",
       "34  2010-12-01  08:45:00  \n",
       "35  2010-12-01  08:45:00  \n",
       "36  2010-12-01  08:45:00  \n",
       "37  2010-12-01  08:45:00  \n",
       "38  2010-12-01  08:45:00  \n",
       "39  2010-12-01  08:45:00  \n",
       "40  2010-12-01  08:45:00  \n",
       "41  2010-12-01  08:45:00  \n",
       "42  2010-12-01  08:45:00  \n",
       "43  2010-12-01  08:45:00  \n",
       "44  2010-12-01  08:45:00  \n",
       "45  2010-12-01  08:45:00  \n",
       "46  2010-12-01  09:00:00  \n",
       "47  2010-12-01  09:01:00  \n",
       "48  2010-12-01  09:01:00  \n",
       "49  2010-12-01  09:02:00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Breakdown of the number of purchases during the year\n",
    "\n",
    "num_purchases_by_date = df.groupby('Date').size()\n",
    "plt.title(\"Breakdown of the number of purchases during the year\", size=20)\n",
    "ax = plt.axes()\n",
    "ax.set(ylabel=\"Number of purchases\")\n",
    "num_purchases_by_date.rolling(window=7).mean().plot(color='firebrick');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Breakdown of the number of purchases during the day\n",
    "\n",
    "num_purchases_by_time = df.groupby('Time').size()\n",
    "plt.title(\"Breakdown of the number of purchases during the day\", size=20)\n",
    "ax = plt.axes()\n",
    "ax.set(ylabel=\"Number of purchases\")\n",
    "num_purchases_by_time.rolling(window=60).mean().plot(color='green');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United Kingdom          0.889254\n",
       "Germany                 0.022982\n",
       "France                  0.021202\n",
       "EIRE                    0.018401\n",
       "Spain                   0.006313\n",
       "Netherlands             0.006007\n",
       "Belgium                 0.005172\n",
       "Switzerland             0.004688\n",
       "Portugal                0.003700\n",
       "Australia               0.003007\n",
       "Norway                  0.002727\n",
       "Italy                   0.001930\n",
       "Channel Islands         0.001902\n",
       "Finland                 0.001744\n",
       "Cyprus                  0.001536\n",
       "Sweden                  0.001146\n",
       "Austria                 0.001014\n",
       "Denmark                 0.000968\n",
       "Poland                  0.000840\n",
       "Japan                   0.000817\n",
       "Israel                  0.000624\n",
       "Unspecified             0.000614\n",
       "Singapore               0.000565\n",
       "Iceland                 0.000463\n",
       "USA                     0.000456\n",
       "Canada                  0.000385\n",
       "Greece                  0.000369\n",
       "Malta                   0.000285\n",
       "United Arab Emirates    0.000173\n",
       "European Community      0.000153\n",
       "RSA                     0.000145\n",
       "Lebanon                 0.000115\n",
       "Lithuania               0.000089\n",
       "Brazil                  0.000081\n",
       "Czech Republic          0.000064\n",
       "Bahrain                 0.000043\n",
       "Saudi Arabia            0.000023\n",
       "Name: Country, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart showing the number of purchases by country\n",
    "\n",
    "Country = df.groupby(df[\"Country\"])\n",
    "plt.figure(figsize=(15, 10))\n",
    "plt.title(\"Number of purchases by country\", size=20)\n",
    "ax = plt.axes()\n",
    "ax = ax.set(xlabel=\"Country\", ylabel='Numbers of purchases')\n",
    "Country.size().sort_values(ascending=False).plot.bar()\n",
    "df['Country'].value_counts(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    392692.000000\n",
       "mean         22.631500\n",
       "std         311.099224\n",
       "min           0.001000\n",
       "25%           4.950000\n",
       "50%          12.450000\n",
       "75%          19.800000\n",
       "max      168469.600000\n",
       "Name: TotalPrice, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "red_diamond = dict(markerfacecolor='r', marker='D')\n",
    "\n",
    "# Représentation de Total_Price\n",
    "plt.title(\"Representation of Total Price\", size=15)\n",
    "plt.ylim(0,250)\n",
    "plot = plt.boxplot(df['TotalPrice'], flierprops=red_diamond,\n",
    "                   labels=['Price(£)'], showmeans= True)\n",
    "df['TotalPrice'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_stats(group):\n",
    "    ''' The function takes in a group, and gives out\n",
    "        different statistics (minimum, maximum, average,\n",
    "        and the number of elements)'''\n",
    "    \n",
    "    return {'min': group.min(), 'max': group.max(),\n",
    "            'count': group.count(), 'mean': np.mean(group)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "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>count</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>1181.0</td>\n",
       "      <td>1718.40</td>\n",
       "      <td>117.234386</td>\n",
       "      <td>0.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>398.0</td>\n",
       "      <td>360.00</td>\n",
       "      <td>25.624824</td>\n",
       "      <td>2.880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>17.0</td>\n",
       "      <td>120.00</td>\n",
       "      <td>32.258824</td>\n",
       "      <td>11.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>2031.0</td>\n",
       "      <td>165.00</td>\n",
       "      <td>20.283772</td>\n",
       "      <td>2.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>32.0</td>\n",
       "      <td>175.20</td>\n",
       "      <td>35.737500</td>\n",
       "      <td>15.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>151.0</td>\n",
       "      <td>550.94</td>\n",
       "      <td>24.280662</td>\n",
       "      <td>2.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Channel Islands</th>\n",
       "      <td>747.0</td>\n",
       "      <td>408.00</td>\n",
       "      <td>27.363507</td>\n",
       "      <td>4.560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyprus</th>\n",
       "      <td>603.0</td>\n",
       "      <td>320.69</td>\n",
       "      <td>22.392786</td>\n",
       "      <td>0.830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Czech Republic</th>\n",
       "      <td>25.0</td>\n",
       "      <td>70.80</td>\n",
       "      <td>33.069600</td>\n",
       "      <td>10.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>380.0</td>\n",
       "      <td>428.40</td>\n",
       "      <td>49.882474</td>\n",
       "      <td>4.680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EIRE</th>\n",
       "      <td>7226.0</td>\n",
       "      <td>2365.20</td>\n",
       "      <td>36.709446</td>\n",
       "      <td>1.250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>European Community</th>\n",
       "      <td>60.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>21.670833</td>\n",
       "      <td>7.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>685.0</td>\n",
       "      <td>551.20</td>\n",
       "      <td>32.913985</td>\n",
       "      <td>2.340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>8326.0</td>\n",
       "      <td>4161.06</td>\n",
       "      <td>25.094200</td>\n",
       "      <td>0.290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>9025.0</td>\n",
       "      <td>876.00</td>\n",
       "      <td>25.338327</td>\n",
       "      <td>0.390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greece</th>\n",
       "      <td>145.0</td>\n",
       "      <td>175.20</td>\n",
       "      <td>32.831172</td>\n",
       "      <td>3.360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>182.0</td>\n",
       "      <td>249.60</td>\n",
       "      <td>23.681319</td>\n",
       "      <td>5.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Israel</th>\n",
       "      <td>245.0</td>\n",
       "      <td>350.40</td>\n",
       "      <td>29.452408</td>\n",
       "      <td>0.950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>758.0</td>\n",
       "      <td>300.00</td>\n",
       "      <td>23.064960</td>\n",
       "      <td>2.880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>321.0</td>\n",
       "      <td>3794.40</td>\n",
       "      <td>116.561900</td>\n",
       "      <td>0.290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lebanon</th>\n",
       "      <td>45.0</td>\n",
       "      <td>153.00</td>\n",
       "      <td>37.641778</td>\n",
       "      <td>10.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lithuania</th>\n",
       "      <td>35.0</td>\n",
       "      <td>122.40</td>\n",
       "      <td>47.458857</td>\n",
       "      <td>13.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malta</th>\n",
       "      <td>112.0</td>\n",
       "      <td>455.00</td>\n",
       "      <td>24.335625</td>\n",
       "      <td>2.280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>2359.0</td>\n",
       "      <td>4992.00</td>\n",
       "      <td>121.003111</td>\n",
       "      <td>0.390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>1071.0</td>\n",
       "      <td>700.00</td>\n",
       "      <td>33.767918</td>\n",
       "      <td>2.880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poland</th>\n",
       "      <td>330.0</td>\n",
       "      <td>120.00</td>\n",
       "      <td>22.226212</td>\n",
       "      <td>6.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portugal</th>\n",
       "      <td>1453.0</td>\n",
       "      <td>1241.98</td>\n",
       "      <td>22.970296</td>\n",
       "      <td>0.290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RSA</th>\n",
       "      <td>57.0</td>\n",
       "      <td>38.25</td>\n",
       "      <td>17.584386</td>\n",
       "      <td>5.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>9.0</td>\n",
       "      <td>19.80</td>\n",
       "      <td>16.213333</td>\n",
       "      <td>5.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>222.0</td>\n",
       "      <td>3949.32</td>\n",
       "      <td>95.852658</td>\n",
       "      <td>2.340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>2479.0</td>\n",
       "      <td>1350.00</td>\n",
       "      <td>24.832013</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>450.0</td>\n",
       "      <td>1188.00</td>\n",
       "      <td>85.261844</td>\n",
       "      <td>5.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>1841.0</td>\n",
       "      <td>360.00</td>\n",
       "      <td>30.659397</td>\n",
       "      <td>2.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>179.0</td>\n",
       "      <td>81.36</td>\n",
       "      <td>20.002179</td>\n",
       "      <td>1.250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Arab Emirates</th>\n",
       "      <td>68.0</td>\n",
       "      <td>153.00</td>\n",
       "      <td>27.974706</td>\n",
       "      <td>3.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>349203.0</td>\n",
       "      <td>168469.60</td>\n",
       "      <td>20.861862</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unspecified</th>\n",
       "      <td>241.0</td>\n",
       "      <td>69.36</td>\n",
       "      <td>11.040539</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         count        max        mean     min\n",
       "Country                                                      \n",
       "Australia               1181.0    1718.40  117.234386   0.420\n",
       "Austria                  398.0     360.00   25.624824   2.880\n",
       "Bahrain                   17.0     120.00   32.258824  11.600\n",
       "Belgium                 2031.0     165.00   20.283772   2.500\n",
       "Brazil                    32.0     175.20   35.737500  15.000\n",
       "Canada                   151.0     550.94   24.280662   2.500\n",
       "Channel Islands          747.0     408.00   27.363507   4.560\n",
       "Cyprus                   603.0     320.69   22.392786   0.830\n",
       "Czech Republic            25.0      70.80   33.069600  10.080\n",
       "Denmark                  380.0     428.40   49.882474   4.680\n",
       "EIRE                    7226.0    2365.20   36.709446   1.250\n",
       "European Community        60.0      60.00   21.670833   7.800\n",
       "Finland                  685.0     551.20   32.913985   2.340\n",
       "France                  8326.0    4161.06   25.094200   0.290\n",
       "Germany                 9025.0     876.00   25.338327   0.390\n",
       "Greece                   145.0     175.20   32.831172   3.360\n",
       "Iceland                  182.0     249.60   23.681319   5.040\n",
       "Israel                   245.0     350.40   29.452408   0.950\n",
       "Italy                    758.0     300.00   23.064960   2.880\n",
       "Japan                    321.0    3794.40  116.561900   0.290\n",
       "Lebanon                   45.0     153.00   37.641778  10.200\n",
       "Lithuania                 35.0     122.40   47.458857  13.200\n",
       "Malta                    112.0     455.00   24.335625   2.280\n",
       "Netherlands             2359.0    4992.00  121.003111   0.390\n",
       "Norway                  1071.0     700.00   33.767918   2.880\n",
       "Poland                   330.0     120.00   22.226212   6.600\n",
       "Portugal                1453.0    1241.98   22.970296   0.290\n",
       "RSA                       57.0      38.25   17.584386   5.040\n",
       "Saudi Arabia               9.0      19.80   16.213333   5.040\n",
       "Singapore                222.0    3949.32   95.852658   2.340\n",
       "Spain                   2479.0    1350.00   24.832013   0.210\n",
       "Sweden                   450.0    1188.00   85.261844   5.040\n",
       "Switzerland             1841.0     360.00   30.659397   2.000\n",
       "USA                      179.0      81.36   20.002179   1.250\n",
       "United Arab Emirates      68.0     153.00   27.974706   3.480\n",
       "United Kingdom        349203.0  168469.60   20.861862   0.001\n",
       "Unspecified              241.0      69.36   11.040539   0.190"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transaction amount statistics for each country\n",
    "\n",
    "global_stats = df['TotalPrice'].groupby(df['Country']).apply(get_stats).unstack()\n",
    "global_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Average amount of transactions in different countries')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [s for s in global_stats.index]\n",
    "\n",
    "sizes  = global_stats['mean'].values\n",
    "plt.figure(figsize=(30,5))\n",
    "plot = plt.bar(labels, sizes)\n",
    "ax = plt.axes()\n",
    "ax.set(xlabel='Country', ylabel='Amount (£)')\n",
    "plt.xticks(rotation=90, size=30)\n",
    "plt.yticks(size=20)\n",
    "plt.title('Average amount of transactions in different countries',\n",
    "          bbox={'facecolor':'green', 'pad':0.5}, color='w', fontsize=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['white', 'hanging', 'heart', 'light', 'holder']]\n"
     ]
    }
   ],
   "source": [
    "import re, nltk, spacy, gensim\n",
    "\n",
    "def sent_to_words(sentences):\n",
    "    ''' Tokenisation of sentences without punctuation'''\n",
    "    \n",
    "    for sentence in sentences:\n",
    "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))  # deacc=True Remove the punctuation\n",
    "        \n",
    "\n",
    "data_words = list(sent_to_words(df[\"Description\"]))\n",
    "print(data_words[:1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def lemmatization(texts, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV']):\n",
    "    \"\"\"It keeps the lema of the words (lemma is the uninflected form of a word)\"\"\"\n",
    "    \n",
    "    texts_out = []\n",
    "    for sent in texts:\n",
    "        doc = nlp(\" \".join(sent)) \n",
    "        texts_out.append(\" \".join([token.lemma_ if token.lemma_ not in ['-PRON-'] else '' \n",
    "                                   for token in doc if token.pos_ in allowed_postags]))\n",
    "    return texts_out\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['white hang heart light holder', 'white metal lantern']\n"
     ]
    }
   ],
   "source": [
    "# Initialize spacy 'en' model, keeping only tagger component (for efficiency)\n",
    "nlp = spacy.load('en', disable=['parser', 'ner'])\n",
    "\n",
    "# Do lemmatization keeping only Noun, Adj, Verb, Adverb\n",
    "data_lemmatized = lemmatization(data_words, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV'])\n",
    "\n",
    "print(data_lemmatized[:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extraction of tf features for LDA...\n",
      "\n",
      " The categories in the LDA model :\n",
      "Topic #0: heart light bottle pink holder decoration hot water hang small set tea home white love\n",
      "Topic #1: red retrospot box spaceboy doily wrap silver blue set feltcraft clock doormat children pink tissue\n",
      "Topic #2: set glass candle skull light pencil antique rise box fairy bowl calm gift party jar\n",
      "Topic #3: cake metal card wooden tin pack sign case star vintage mini colour ceramic regency green\n",
      "Topic #4: bag christma vintage design jumbo set lunch paper kit paisley dolly pantry ribbon girl hand\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create our products categories using LDA algorithm \n",
    "\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.decomposition import LatentDirichletAllocation\n",
    "\n",
    "n_features = 3000 \n",
    "n_components = 5 # number of categories\n",
    "n_top_words = 15\n",
    "\n",
    "\n",
    "print(\"Extraction of tf features for LDA...\")\n",
    "tf_vectorizer = CountVectorizer(max_df=0.95, min_df=2,\n",
    "                                max_features=n_features,\n",
    "                                stop_words='english')\n",
    "\n",
    "tf = tf_vectorizer.fit_transform(data_lemmatized)\n",
    "\n",
    "\n",
    "def print_top_words(model, feature_names, n_top_words):\n",
    "    \n",
    "    for topic_idx, topic in enumerate(model.components_):\n",
    "        message = \"Topic #%d: \" % topic_idx\n",
    "        message += \" \".join([feature_names[i]\n",
    "                             for i in topic.argsort()[:-n_top_words - 1:-1]])\n",
    "        print(message)\n",
    "    print()\n",
    "\n",
    "\n",
    "lda = LatentDirichletAllocation(n_components=n_components, max_iter=5,\n",
    "                                learning_method='online',\n",
    "                                learning_offset=50.,\n",
    "                                random_state=0).fit(tf)\n",
    "\n",
    "print(\"\\n The categories in the LDA model :\")\n",
    "tf_feature_names = tf_vectorizer.get_feature_names()\n",
    "print_top_words(lda, tf_feature_names, n_top_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Création de la variable Categories donnant la catégorie de chaque produit acheté\n",
    "\n",
    "topics = lda.transform(tf)\n",
    "df_topics = pd.DataFrame(topics)\n",
    "list_topics = []\n",
    "\n",
    "for index, row in df_topics.iterrows():\n",
    "    column_line = str(row.idxmax(max(row)))\n",
    "    list_topics.append(column_line)\n",
    "    \n",
    "df[\"Categories\"] = pd.DataFrame(list_topics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4    93622\n",
       "3    79302\n",
       "0    78045\n",
       "1    72829\n",
       "2    68894\n",
       "Name: Categories, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Categories'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The dispersion diagram shows the category of the product purchased and its price\n",
    "\n",
    "sorted_categories = sorted(zip(df[\"Categories\"], df[\"TotalPrice\"]))\n",
    "xcat, ycat = zip(*sorted_categories)\n",
    "plt.title(\"# The dispersion diagram shows the category of the product purchased and its price\",\n",
    "         bbox={'facecolor':'darkslategrey', 'pad': 0.3}, color='w', fontsize=15)\n",
    "plt.scatter(xcat, ycat, marker=\"o\", alpha=0.3)\n",
    "plt.ylim(0,3000)\n",
    "ax = plt.axes()\n",
    "ax = ax.set(xlabel=\"Category of the bought product\", ylabel='Total price(en £)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Categories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>2010-12-01</td>\n",
       "      <td>08:26:00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  TotalPrice  \\\n",
       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom       15.30   \n",
       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom       22.00   \n",
       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom       20.34   \n",
       "\n",
       "         Date      Time Categories  \n",
       "0  2010-12-01  08:26:00          0  \n",
       "1  2010-12-01  08:26:00          3  \n",
       "2  2010-12-01  08:26:00          3  \n",
       "3  2010-12-01  08:26:00          0  \n",
       "4  2010-12-01  08:26:00          1  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# One hot encoding on the variable Country\n",
    "\n",
    "for country in df['Country'].unique():\n",
    "    df[country] = df['Country'].str.contains(country).apply(lambda x:1 if x else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# One hot encoding on the variable Categories\n",
    "\n",
    "for category in df['Categories'].unique():\n",
    "    df[\"Category {}\".format(category)] = df['Categories'].str.contains(category).apply(lambda x:1 if x else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Representing variable Time in minutes\n",
    "\n",
    "df[\"Time_Minutes\"] = df[\"Time\"].apply(lambda x: x.hour*60 + x.minute)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Conversion of purchase dates into integers corresponding to the number of days\n",
    "# since Day 1 of Year 1 of the Gregorian calendar\n",
    "\n",
    "df['New_Date'] = df['Date'].apply(lambda x: x.toordinal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unrelevant categories are removed for the remainder\n",
    "\n",
    "df.drop([\"Country\", \"Categories\", \"InvoiceDate\", \"UnitPrice\", \"Date\", \"Description\", \"StockCode\", \"Time\"],\n",
    "        axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>CustomerID</th>\n",
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       "      <td>734107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>6</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>20.34</td>\n",
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       "      <td>734107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>17850.0</td>\n",
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       "      <td>734107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo  Quantity  CustomerID  TotalPrice  United Kingdom  France  \\\n",
       "0    536365         6     17850.0       15.30               1       0   \n",
       "1    536365         6     17850.0       20.34               1       0   \n",
       "2    536365         8     17850.0       22.00               1       0   \n",
       "3    536365         6     17850.0       20.34               1       0   \n",
       "4    536365         6     17850.0       20.34               1       0   \n",
       "\n",
       "   Australia  Netherlands  Germany  Norway    ...     Bahrain  Malta  RSA  \\\n",
       "0          0            0        0       0    ...           0      0    0   \n",
       "1          0            0        0       0    ...           0      0    0   \n",
       "2          0            0        0       0    ...           0      0    0   \n",
       "3          0            0        0       0    ...           0      0    0   \n",
       "4          0            0        0       0    ...           0      0    0   \n",
       "\n",
       "   Category 0  Category 3  Category 1  Category 2  Category 4  Time_Minutes  \\\n",
       "0           1           0           0           0           0           506   \n",
       "1           0           1           0           0           0           506   \n",
       "2           0           1           0           0           0           506   \n",
       "3           1           0           0           0           0           506   \n",
       "4           0           0           1           0           0           506   \n",
       "\n",
       "   New_Date  \n",
       "0    734107  \n",
       "1    734107  \n",
       "2    734107  \n",
       "3    734107  \n",
       "4    734107  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('new_data_P5.csv',encoding='utf-8', index=False)"
   ]
  }
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