Amazon Sales Report.ipynb

{
 "cells": [
  {
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   "id": "a0389888-893d-4013-9a9b-901a1cf037d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5c79d61e-3861-4d50-9837-2f7d59186dbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(r'C:\\Users\\uzair\\Desktop\\Python\\python projects\\Amazon Sales\\Amazon Sale Report.csv',encoding='unicode_escape')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb3f6c21-c743-4004-a122-edef1ea84cc5",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4b0818d5-fe98-4d77-a8ba-9e946d953f07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128976, 21)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7459ec66-852f-4950-8574-174c20cc3514",
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Status</th>\n",
       "      <th>Fulfilment</th>\n",
       "      <th>Sales Channel</th>\n",
       "      <th>ship-service-level</th>\n",
       "      <th>Category</th>\n",
       "      <th>Size</th>\n",
       "      <th>Courier Status</th>\n",
       "      <th>...</th>\n",
       "      <th>currency</th>\n",
       "      <th>Amount</th>\n",
       "      <th>ship-city</th>\n",
       "      <th>ship-state</th>\n",
       "      <th>ship-postal-code</th>\n",
       "      <th>ship-country</th>\n",
       "      <th>B2B</th>\n",
       "      <th>fulfilled-by</th>\n",
       "      <th>New</th>\n",
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       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>T-shirt</td>\n",
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       "      <td>On the Way</td>\n",
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       "      <td>Shirt</td>\n",
       "      <td>3XL</td>\n",
       "      <td>Shipped</td>\n",
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       "      <td>INR</td>\n",
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       "      <td>04-30-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>Shirt</td>\n",
       "      <td>XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>329.00</td>\n",
       "      <td>NAVI MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>410210.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>3</th>\n",
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       "      <td>403-9615377-8133951</td>\n",
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       "      <td>Cancelled</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Blazzer</td>\n",
       "      <td>L</td>\n",
       "      <td>On the Way</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>753.33</td>\n",
       "      <td>PUDUCHERRY</td>\n",
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       "      <td>605008.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
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       "      <td>4</td>\n",
       "      <td>407-1069790-7240320</td>\n",
       "      <td>04-30-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>Trousers</td>\n",
       "      <td>3XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>574.00</td>\n",
       "      <td>CHENNAI</td>\n",
       "      <td>TAMIL NADU</td>\n",
       "      <td>600073.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>404-1490984-4578765</td>\n",
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       "      <td>Amazon</td>\n",
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       "      <td>T-shirt</td>\n",
       "      <td>XL</td>\n",
       "      <td>Shipped</td>\n",
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       "      <td>INR</td>\n",
       "      <td>824.00</td>\n",
       "      <td>GHAZIABAD</td>\n",
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       "      <td>201102.0</td>\n",
       "      <td>IN</td>\n",
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       "      <td>408-5748499-6859555</td>\n",
       "      <td>04-30-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>L</td>\n",
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       "      <td>INR</td>\n",
       "      <td>653.00</td>\n",
       "      <td>CHANDIGARH</td>\n",
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       "      <td>406-7807733-3785945</td>\n",
       "      <td>04-30-22</td>\n",
       "      <td>Shipped - Delivered to Buyer</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Shirt</td>\n",
       "      <td>S</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>399.00</td>\n",
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       "      <td>TELANGANA</td>\n",
       "      <td>500032.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>402-4393761-0311520</td>\n",
       "      <td>04-30-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>Shirt</td>\n",
       "      <td>XXL</td>\n",
       "      <td>Shipped</td>\n",
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       "      <td>INR</td>\n",
       "      <td>363.00</td>\n",
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       "   index             Order ID      Date                        Status  \\\n",
       "0      0  405-8078784-5731545  04-30-22                     Cancelled   \n",
       "1      1  171-9198151-1101146  04-30-22  Shipped - Delivered to Buyer   \n",
       "2      2  404-0687676-7273146  04-30-22                       Shipped   \n",
       "3      3  403-9615377-8133951  04-30-22                     Cancelled   \n",
       "4      4  407-1069790-7240320  04-30-22                       Shipped   \n",
       "5      5  404-1490984-4578765  04-30-22                       Shipped   \n",
       "6      6  408-5748499-6859555  04-30-22                       Shipped   \n",
       "7      7  406-7807733-3785945  04-30-22  Shipped - Delivered to Buyer   \n",
       "8      8  407-5443024-5233168  04-30-22                     Cancelled   \n",
       "9      9  402-4393761-0311520  04-30-22                       Shipped   \n",
       "\n",
       "  Fulfilment Sales Channel ship-service-level  Category Size Courier Status  \\\n",
       "0   Merchant     Amazon.in           Standard   T-shirt    S     On the Way   \n",
       "1   Merchant     Amazon.in           Standard     Shirt  3XL        Shipped   \n",
       "2     Amazon     Amazon.in          Expedited     Shirt   XL        Shipped   \n",
       "3   Merchant     Amazon.in           Standard   Blazzer    L     On the Way   \n",
       "4     Amazon     Amazon.in          Expedited  Trousers  3XL        Shipped   \n",
       "5     Amazon     Amazon.in          Expedited   T-shirt   XL        Shipped   \n",
       "6     Amazon     Amazon.in          Expedited   T-shirt    L        Shipped   \n",
       "7   Merchant     Amazon.in           Standard     Shirt    S        Shipped   \n",
       "8     Amazon     Amazon.in          Expedited   T-shirt  3XL      Cancelled   \n",
       "9     Amazon     Amazon.in          Expedited     Shirt  XXL        Shipped   \n",
       "\n",
       "   ...  currency  Amount    ship-city     ship-state ship-postal-code  \\\n",
       "0  ...       INR  647.62       MUMBAI    MAHARASHTRA         400081.0   \n",
       "1  ...       INR  406.00    BENGALURU      KARNATAKA         560085.0   \n",
       "2  ...       INR  329.00  NAVI MUMBAI    MAHARASHTRA         410210.0   \n",
       "3  ...       INR  753.33   PUDUCHERRY     PUDUCHERRY         605008.0   \n",
       "4  ...       INR  574.00      CHENNAI     TAMIL NADU         600073.0   \n",
       "5  ...       INR  824.00    GHAZIABAD  UTTAR PRADESH         201102.0   \n",
       "6  ...       INR  653.00   CHANDIGARH     CHANDIGARH         160036.0   \n",
       "7  ...       INR  399.00    HYDERABAD      TELANGANA         500032.0   \n",
       "8  ...       NaN     NaN    HYDERABAD      TELANGANA         500008.0   \n",
       "9  ...       INR  363.00      Chennai     TAMIL NADU         600041.0   \n",
       "\n",
       "   ship-country    B2B  fulfilled-by New  PendingS  \n",
       "0            IN  False     Easy Ship NaN       NaN  \n",
       "1            IN  False     Easy Ship NaN       NaN  \n",
       "2            IN   True           NaN NaN       NaN  \n",
       "3            IN  False     Easy Ship NaN       NaN  \n",
       "4            IN  False           NaN NaN       NaN  \n",
       "5            IN  False           NaN NaN       NaN  \n",
       "6            IN  False           NaN NaN       NaN  \n",
       "7            IN  False     Easy Ship NaN       NaN  \n",
       "8            IN  False           NaN NaN       NaN  \n",
       "9            IN  False           NaN NaN       NaN  \n",
       "\n",
       "[10 rows x 21 columns]"
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     "execution_count": 27,
     "metadata": {},
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       "      <td>NaN</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>WEST BENGAL</td>\n",
       "      <td>700040.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>824.0</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>DELHI</td>\n",
       "      <td>110053.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128970</th>\n",
       "      <td>128969</td>\n",
       "      <td>404-3802633-7250760</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>M</td>\n",
       "      <td>Unshipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>612.0</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>400017.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128971</th>\n",
       "      <td>128970</td>\n",
       "      <td>406-6001380-7673107</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>Shirt</td>\n",
       "      <td>XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>517.0</td>\n",
       "      <td>HYDERABAD</td>\n",
       "      <td>TELANGANA</td>\n",
       "      <td>500013.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128972</th>\n",
       "      <td>128971</td>\n",
       "      <td>402-9551604-7544318</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>M</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>999.0</td>\n",
       "      <td>GURUGRAM</td>\n",
       "      <td>HARYANA</td>\n",
       "      <td>122004.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128973</th>\n",
       "      <td>128972</td>\n",
       "      <td>407-9547469-3152358</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>Blazzer</td>\n",
       "      <td>XXL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>690.0</td>\n",
       "      <td>HYDERABAD</td>\n",
       "      <td>TELANGANA</td>\n",
       "      <td>500049.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128974</th>\n",
       "      <td>128973</td>\n",
       "      <td>402-6184140-0545956</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>XS</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>Halol</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>389350.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128975</th>\n",
       "      <td>128974</td>\n",
       "      <td>408-7436540-8728312</td>\n",
       "      <td>05-31-22</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Expedited</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>S</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>696.0</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>CHHATTISGARH</td>\n",
       "      <td>492014.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         index             Order ID      Date     Status Fulfilment  \\\n",
       "128966  128965  408-5154281-4593912  05-31-22  Cancelled     Amazon   \n",
       "128967  128966  406-9812666-2474761  05-31-22    Shipped     Amazon   \n",
       "128968  128967  404-5182288-1653947  05-31-22  Cancelled     Amazon   \n",
       "128969  128968  403-7059995-7618722  05-31-22    Shipped     Amazon   \n",
       "128970  128969  404-3802633-7250760  05-31-22  Cancelled     Amazon   \n",
       "128971  128970  406-6001380-7673107  05-31-22    Shipped     Amazon   \n",
       "128972  128971  402-9551604-7544318  05-31-22    Shipped     Amazon   \n",
       "128973  128972  407-9547469-3152358  05-31-22    Shipped     Amazon   \n",
       "128974  128973  402-6184140-0545956  05-31-22    Shipped     Amazon   \n",
       "128975  128974  408-7436540-8728312  05-31-22    Shipped     Amazon   \n",
       "\n",
       "       Sales Channel ship-service-level  Category Size Courier Status  ...  \\\n",
       "128966     Amazon.in          Expedited  Trousers  3XL      Unshipped  ...   \n",
       "128967     Amazon.in          Expedited   T-shirt   XS        Shipped  ...   \n",
       "128968     Amazon.in          Expedited     Shirt   XS      Cancelled  ...   \n",
       "128969     Amazon.in          Expedited   T-shirt   XL        Shipped  ...   \n",
       "128970     Amazon.in          Expedited   T-shirt    M      Unshipped  ...   \n",
       "128971     Amazon.in          Expedited     Shirt   XL        Shipped  ...   \n",
       "128972     Amazon.in          Expedited   T-shirt    M        Shipped  ...   \n",
       "128973     Amazon.in          Expedited   Blazzer  XXL        Shipped  ...   \n",
       "128974     Amazon.in          Expedited   T-shirt   XS        Shipped  ...   \n",
       "128975     Amazon.in          Expedited   T-shirt    S        Shipped  ...   \n",
       "\n",
       "        currency  Amount              ship-city     ship-state  \\\n",
       "128966       INR   574.0  Prayagraj (ALLAHABAD)  UTTAR PRADESH   \n",
       "128967       INR  1132.0         CHENNAI 600042     TAMIL NADU   \n",
       "128968       NaN     NaN                Kolkata    WEST BENGAL   \n",
       "128969       INR   824.0                  Delhi          DELHI   \n",
       "128970       INR   612.0                 MUMBAI    MAHARASHTRA   \n",
       "128971       INR   517.0              HYDERABAD      TELANGANA   \n",
       "128972       INR   999.0               GURUGRAM        HARYANA   \n",
       "128973       INR   690.0              HYDERABAD      TELANGANA   \n",
       "128974       INR  1199.0                  Halol        Gujarat   \n",
       "128975       INR   696.0                 Raipur   CHHATTISGARH   \n",
       "\n",
       "       ship-postal-code  ship-country    B2B  fulfilled-by New  PendingS  \n",
       "128966         211007.0            IN  False           NaN NaN       NaN  \n",
       "128967         600042.0            IN  False           NaN NaN       NaN  \n",
       "128968         700040.0            IN  False           NaN NaN       NaN  \n",
       "128969         110053.0            IN  False           NaN NaN       NaN  \n",
       "128970         400017.0            IN  False           NaN NaN       NaN  \n",
       "128971         500013.0            IN  False           NaN NaN       NaN  \n",
       "128972         122004.0            IN  False           NaN NaN       NaN  \n",
       "128973         500049.0            IN  False           NaN NaN       NaN  \n",
       "128974         389350.0            IN  False           NaN NaN       NaN  \n",
       "128975         492014.0            IN  False           NaN NaN       NaN  \n",
       "\n",
       "[10 rows x 21 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6e997d77-ab68-4935-b628-ed21e6a65dd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 128976 entries, 0 to 128975\n",
      "Data columns (total 21 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   index               128976 non-null  int64  \n",
      " 1   Order ID            128976 non-null  object \n",
      " 2   Date                128976 non-null  object \n",
      " 3   Status              128976 non-null  object \n",
      " 4   Fulfilment          128976 non-null  object \n",
      " 5   Sales Channel       128976 non-null  object \n",
      " 6   ship-service-level  128976 non-null  object \n",
      " 7   Category            128976 non-null  object \n",
      " 8   Size                128976 non-null  object \n",
      " 9   Courier Status      128976 non-null  object \n",
      " 10  Qty                 128976 non-null  int64  \n",
      " 11  currency            121176 non-null  object \n",
      " 12  Amount              121176 non-null  float64\n",
      " 13  ship-city           128941 non-null  object \n",
      " 14  ship-state          128941 non-null  object \n",
      " 15  ship-postal-code    128941 non-null  float64\n",
      " 16  ship-country        128941 non-null  object \n",
      " 17  B2B                 128976 non-null  bool   \n",
      " 18  fulfilled-by        39263 non-null   object \n",
      " 19  New                 0 non-null       float64\n",
      " 20  PendingS            0 non-null       float64\n",
      "dtypes: bool(1), float64(4), int64(2), object(14)\n",
      "memory usage: 19.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c5070c6e-84ea-4d8e-a3b1-358dd1322295",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop unrelated/blank columns\n",
    "df.drop(['New','PendingS'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "dc19243d-0f12-48a9-9e0e-05003477de1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 128976 entries, 0 to 128975\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   index               128976 non-null  int64  \n",
      " 1   Order ID            128976 non-null  object \n",
      " 2   Date                128976 non-null  object \n",
      " 3   Status              128976 non-null  object \n",
      " 4   Fulfilment          128976 non-null  object \n",
      " 5   Sales Channel       128976 non-null  object \n",
      " 6   ship-service-level  128976 non-null  object \n",
      " 7   Category            128976 non-null  object \n",
      " 8   Size                128976 non-null  object \n",
      " 9   Courier Status      128976 non-null  object \n",
      " 10  Qty                 128976 non-null  int64  \n",
      " 11  currency            121176 non-null  object \n",
      " 12  Amount              121176 non-null  float64\n",
      " 13  ship-city           128941 non-null  object \n",
      " 14  ship-state          128941 non-null  object \n",
      " 15  ship-postal-code    128941 non-null  float64\n",
      " 16  ship-country        128941 non-null  object \n",
      " 17  B2B                 128976 non-null  bool   \n",
      " 18  fulfilled-by        39263 non-null   object \n",
      "dtypes: bool(1), float64(2), int64(2), object(14)\n",
      "memory usage: 17.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ef6ed6d9-6334-4283-bf0f-d56234a49be5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128973</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128974</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128975</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>128976 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        index  Order ID   Date  Status  Fulfilment  Sales Channel  \\\n",
       "0       False     False  False   False       False          False   \n",
       "1       False     False  False   False       False          False   \n",
       "2       False     False  False   False       False          False   \n",
       "3       False     False  False   False       False          False   \n",
       "4       False     False  False   False       False          False   \n",
       "...       ...       ...    ...     ...         ...            ...   \n",
       "128971  False     False  False   False       False          False   \n",
       "128972  False     False  False   False       False          False   \n",
       "128973  False     False  False   False       False          False   \n",
       "128974  False     False  False   False       False          False   \n",
       "128975  False     False  False   False       False          False   \n",
       "\n",
       "        ship-service-level  Category   Size  Courier Status    Qty  currency  \\\n",
       "0                    False     False  False           False  False     False   \n",
       "1                    False     False  False           False  False     False   \n",
       "2                    False     False  False           False  False     False   \n",
       "3                    False     False  False           False  False     False   \n",
       "4                    False     False  False           False  False     False   \n",
       "...                    ...       ...    ...             ...    ...       ...   \n",
       "128971               False     False  False           False  False     False   \n",
       "128972               False     False  False           False  False     False   \n",
       "128973               False     False  False           False  False     False   \n",
       "128974               False     False  False           False  False     False   \n",
       "128975               False     False  False           False  False     False   \n",
       "\n",
       "        Amount  ship-city  ship-state  ship-postal-code  ship-country    B2B  \\\n",
       "0        False      False       False             False         False  False   \n",
       "1        False      False       False             False         False  False   \n",
       "2        False      False       False             False         False  False   \n",
       "3        False      False       False             False         False  False   \n",
       "4        False      False       False             False         False  False   \n",
       "...        ...        ...         ...               ...           ...    ...   \n",
       "128971   False      False       False             False         False  False   \n",
       "128972   False      False       False             False         False  False   \n",
       "128973   False      False       False             False         False  False   \n",
       "128974   False      False       False             False         False  False   \n",
       "128975   False      False       False             False         False  False   \n",
       "\n",
       "        fulfilled-by  \n",
       "0              False  \n",
       "1              False  \n",
       "2               True  \n",
       "3              False  \n",
       "4               True  \n",
       "...              ...  \n",
       "128971          True  \n",
       "128972          True  \n",
       "128973          True  \n",
       "128974          True  \n",
       "128975          True  \n",
       "\n",
       "[128976 rows x 19 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking null value \n",
    "pd.isnull(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "55047f1a-78bd-499f-af4c-bdee3069dfb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "index                     0\n",
       "Order ID                  0\n",
       "Date                      0\n",
       "Status                    0\n",
       "Fulfilment                0\n",
       "Sales Channel             0\n",
       "ship-service-level        0\n",
       "Category                  0\n",
       "Size                      0\n",
       "Courier Status            0\n",
       "Qty                       0\n",
       "currency               7800\n",
       "Amount                 7800\n",
       "ship-city                35\n",
       "ship-state               35\n",
       "ship-postal-code         35\n",
       "ship-country             35\n",
       "B2B                       0\n",
       "fulfilled-by          89713\n",
       "dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sum will give total values of null values\n",
    "pd.isnull(df).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "3a3becde-ca70-4dac-b52a-20a50a226bf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128976, 19)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "28e83ef9-3ba3-4568-a07a-f541be2e4f58",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop null values\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2551b761-eb0d-4ee0-9069-23f3043cc250",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37514, 19)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "449b7cd3-530b-4264-b945-747c1391a53c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "index                 0\n",
       "Order ID              0\n",
       "Date                  0\n",
       "Status                0\n",
       "Fulfilment            0\n",
       "Sales Channel         0\n",
       "ship-service-level    0\n",
       "Category              0\n",
       "Size                  0\n",
       "Courier Status        0\n",
       "Qty                   0\n",
       "currency              0\n",
       "Amount                0\n",
       "ship-city             0\n",
       "ship-state            0\n",
       "ship-postal-code      0\n",
       "ship-country          0\n",
       "B2B                   0\n",
       "fulfilled-by          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(df).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a1c32497-368d-4faa-8e72-29443a70de0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# change data type\n",
    "df['ship-postal-code']=df['ship-postal-code'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "20e8465d-386e-4fa6-a83a-db85de164ee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int32')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking whether the  data type change or not\n",
    "df['ship-postal-code'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "403b75c2-02e1-4a99-899c-f683cfd769c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#By using pd.to_datetime(), you can ensure that the values in the 'Date' column are treated as datetime objects, which allows for various datetime operations and manipulations.\n",
    "df['Date']=pd.to_datetime(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ec21fbeb-94f2-4ed5-a251-9ec9dd9d475d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#rename Columns\n",
    "df.rename(columns={'Qty':'Quantity'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "18263525-d266-4d1f-94ca-f7e3632710b2",
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Date</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Amount</th>\n",
       "      <th>ship-postal-code</th>\n",
       "      <th>ship-postal-code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>37514.000000</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514.000000</td>\n",
       "      <td>37514.000000</td>\n",
       "      <td>37514.000000</td>\n",
       "      <td>37514.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>60953.809858</td>\n",
       "      <td>2022-05-11 07:56:47.303939840</td>\n",
       "      <td>0.867383</td>\n",
       "      <td>646.553960</td>\n",
       "      <td>463291.552754</td>\n",
       "      <td>463291.552754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2022-03-31 00:00:00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110001.000000</td>\n",
       "      <td>110001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27235.250000</td>\n",
       "      <td>2022-04-20 00:00:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>458.000000</td>\n",
       "      <td>370465.000000</td>\n",
       "      <td>370465.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>63470.500000</td>\n",
       "      <td>2022-05-09 00:00:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>629.000000</td>\n",
       "      <td>500019.000000</td>\n",
       "      <td>500019.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>91790.750000</td>\n",
       "      <td>2022-06-01 00:00:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>771.000000</td>\n",
       "      <td>600042.000000</td>\n",
       "      <td>600042.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>128891.000000</td>\n",
       "      <td>2022-06-29 00:00:00</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5495.000000</td>\n",
       "      <td>989898.000000</td>\n",
       "      <td>989898.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>36844.853039</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.354160</td>\n",
       "      <td>279.952414</td>\n",
       "      <td>194550.425637</td>\n",
       "      <td>194550.425637</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               index                           Date      Quantity  \\\n",
       "count   37514.000000                          37514  37514.000000   \n",
       "mean    60953.809858  2022-05-11 07:56:47.303939840      0.867383   \n",
       "min         0.000000            2022-03-31 00:00:00      0.000000   \n",
       "25%     27235.250000            2022-04-20 00:00:00      1.000000   \n",
       "50%     63470.500000            2022-05-09 00:00:00      1.000000   \n",
       "75%     91790.750000            2022-06-01 00:00:00      1.000000   \n",
       "max    128891.000000            2022-06-29 00:00:00      5.000000   \n",
       "std     36844.853039                            NaN      0.354160   \n",
       "\n",
       "             Amount  ship-postal-code  ship-postal-code   \n",
       "count  37514.000000      37514.000000       37514.000000  \n",
       "mean     646.553960     463291.552754      463291.552754  \n",
       "min        0.000000     110001.000000      110001.000000  \n",
       "25%      458.000000     370465.000000      370465.000000  \n",
       "50%      629.000000     500019.000000      500019.000000  \n",
       "75%      771.000000     600042.000000      600042.000000  \n",
       "max     5495.000000     989898.000000      989898.000000  \n",
       "std      279.952414     194550.425637      194550.425637  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#describe() method return description of the data in the DataFrame(i.e count,mean,std,min..etc)\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "daab3f3a-00c7-417a-a466-72637ec68200",
   "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>Order ID</th>\n",
       "      <th>Status</th>\n",
       "      <th>Fulfilment</th>\n",
       "      <th>Sales Channel</th>\n",
       "      <th>ship-service-level</th>\n",
       "      <th>Category</th>\n",
       "      <th>Size</th>\n",
       "      <th>Courier Status</th>\n",
       "      <th>currency</th>\n",
       "      <th>ship-city</th>\n",
       "      <th>ship-state</th>\n",
       "      <th>ship-country</th>\n",
       "      <th>fulfilled-by</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>34664</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4698</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>171-5057375-2831560</td>\n",
       "      <td>Shipped - Delivered to Buyer</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>M</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>INR</td>\n",
       "      <td>BENGALURU</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>IN</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>12</td>\n",
       "      <td>28741</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "      <td>14062</td>\n",
       "      <td>6806</td>\n",
       "      <td>31859</td>\n",
       "      <td>37514</td>\n",
       "      <td>2839</td>\n",
       "      <td>6236</td>\n",
       "      <td>37514</td>\n",
       "      <td>37514</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Order ID                        Status Fulfilment  \\\n",
       "count                 37514                         37514      37514   \n",
       "unique                34664                            11          1   \n",
       "top     171-5057375-2831560  Shipped - Delivered to Buyer   Merchant   \n",
       "freq                     12                         28741      37514   \n",
       "\n",
       "       Sales Channel ship-service-level Category   Size Courier Status  \\\n",
       "count          37514              37514    37514  37514          37514   \n",
       "unique             1                  1        8     11              3   \n",
       "top        Amazon.in           Standard  T-shirt      M        Shipped   \n",
       "freq           37514              37514    14062   6806          31859   \n",
       "\n",
       "       currency  ship-city   ship-state ship-country fulfilled-by  \n",
       "count     37514      37514        37514        37514        37514  \n",
       "unique        1       4698           58            1            1  \n",
       "top         INR  BENGALURU  MAHARASHTRA           IN    Easy Ship  \n",
       "freq      37514       2839         6236        37514        37514  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# provides summary statistics specifically for columns with object data type.\n",
    "df.describe(include='object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "946e80c7-b470-4062-baf3-ec0ebdb3aa23",
   "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>Quantity</th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>37514.000000</td>\n",
       "      <td>37514.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.867383</td>\n",
       "      <td>646.553960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.354160</td>\n",
       "      <td>279.952414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>458.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>629.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>771.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>5495.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Quantity        Amount\n",
       "count  37514.000000  37514.000000\n",
       "mean       0.867383    646.553960\n",
       "std        0.354160    279.952414\n",
       "min        0.000000      0.000000\n",
       "25%        1.000000    458.000000\n",
       "50%        1.000000    629.000000\n",
       "75%        1.000000    771.000000\n",
       "max        5.000000   5495.000000"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#use describe() for specific columns\n",
    "df[['Quantity','Amount']].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba70dc79-68b3-49a8-98f6-27fb29e8d30f",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "e995cd7a-35ad-4b9c-baac-f3f8c19a5b8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'Order ID', 'Date', 'Status', 'Fulfilment', 'Sales Channel',\n",
       "       'ship-service-level', 'Category', 'Size', 'Courier Status', 'Quantity',\n",
       "       'currency', 'Amount', 'ship-city', 'ship-state', 'ship-postal-code',\n",
       "       'ship-country', 'B2B', 'fulfilled-by', 'ship-postal-code '],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06cf3bfa-ff57-4431-9a1a-89b1243fd061",
   "metadata": {},
   "source": [
    "## Size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "1a99ac2a-7751-4748-8e65-791a8a3619bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count Vs Size\n",
    "ax=sns.countplot(x='Size',data=df,hue='Size')\n",
    "sns.set({'figure.figsize':(7,3)})\n",
    "\n",
    "for bars in ax.containers:\n",
    " ax.bar_label(bars)\n",
    "    \n",
    "#No of Order count Vs Size with lables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "7e876ce5-f04c-441e-9ed7-978bbcf33aca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Quantity Vs Size\n",
    "S_Qty=df.groupby(['Size'] ,as_index=False)['Quantity'].sum().sort_values(by='Quantity',ascending=False)\n",
    "\n",
    "sns.barplot(x='Size',y='Quantity',data=S_Qty)\n",
    "sns.set({'figure.figsize':(7,3)})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2f4a79e-65f2-4892-a8ef-d9d205d44a14",
   "metadata": {},
   "source": [
    "### Courier Status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "aa01a9d1-9131-41ba-8500-3a00dbed6f7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Courier Status Vs Count\n",
    "sns.countplot(x='Courier Status', data=df,hue='Status')\n",
    "\n",
    "sns.set({'figure.figsize':(7,3)})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fdd4964-a16f-460c-a158-4583be834ad6",
   "metadata": {},
   "source": [
    "##### Note: From above Graph the majority of the orders are shipped through the courier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "e9b7d9b3-49c4-4165-b9ee-efb1e9f9f82b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Size'].hist()\n",
    "\n",
    "sns.set({'figure.figsize':(7,3)})\n",
    "#histogram "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7647757f-c624-4f77-86d5-31292b57f79d",
   "metadata": {},
   "source": [
    "### Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "80d804b4-fc11-4878-83c4-2f3770e0c851",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Category'] = df['Category'].astype(str)\n",
    "column_data = df['Category']\n",
    "plt.hist(column_data, bins=30, edgecolor='Black')\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()\n",
    "sns.set({'figure.figsize':(7,3)})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2863384-b2c8-43a8-85f5-3aadc550be76",
   "metadata": {},
   "source": [
    "##### Note: From above Graph you can see that most of the  buyers are buying T-shirts "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "47953466-9a0b-42c2-af13-8e065c4a607b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking B2B Data  by using pie chart \n",
    "B2B_Check = df['B2B'].value_counts()\n",
    "\n",
    "#  Plot the pie chart\n",
    "plt.pie(B2B_Check, labels=B2B_Check, autopct='%1.1f%%')\n",
    "#plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8813551c-c977-45af-93d8-0de80e5d145e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking B2B Data  by using pie chart \n",
    "B2B_Check = df['B2B'].value_counts()\n",
    "\n",
    "#  Plot the pie chart\n",
    "plt.pie(B2B_Check, labels=B2B_Check.index, autopct='%1.1f%%')\n",
    "#plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c331791-19bf-4d23-8cf1-73210eccafc6",
   "metadata": {},
   "source": [
    "##### Note : From above chart  we can see that maximum i.e. 99.3% of buyers are retailers and 0.7% are B2B buyers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5679453f-ac0f-4694-8f05-6ff26217dde7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Prepare data for pie chart\n",
    "a1=df['Fulfilment'].value_counts()\n",
    "# Step 4: Plot the pie chart\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "ax.pie(a1,labels=a1.index, autopct='%1.1f%%', radius=0.7, wedgeprops=dict(width=0.6))\n",
    "ax.set(aspect='equal')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b33e7799-1716-46de-ab24-5942dbcb9aad",
   "metadata": {},
   "source": [
    "##### Note: From above chart you can see that most of the  Fulfilment  are  amazon "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bd5ab05f-794b-4035-b577-d08c5c7c62a4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prepare data for scatter plot\n",
    "x_data = df['Category']  \n",
    "y_data = df['Size'] \n",
    "\n",
    "# Plot the scatter plot\n",
    "plt.scatter(x_data, y_data)\n",
    "plt.xlabel('Category')  \n",
    "plt.ylabel('Size')  \n",
    "plt.title('Scatter Plot') \n",
    "plt.show()\n",
    "sns.set({'figure.figsize':(7,3)})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24aa62c5-61eb-4417-89cb-454d368fded1",
   "metadata": {},
   "source": [
    "### Ship State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "74d9c854-bcd6-49a9-b21d-b20438463ecc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot count of cities by state\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=df, x='ship-state')\n",
    "plt.xlabel('ship-state')\n",
    "plt.ylabel('count')\n",
    "plt.title('Distribution of State')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4df71723-08cd-482a-abd0-4808cf69ce68",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VvnEZOZ0Ogj4AAAAAPCKC/n/s9PnL+uN0hKvLAAAAAACkEIwrBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI24NOifO3dOnTp1kr+/v8qVK6chQ4YoKipKknTq1Cm1bNlSRYsW1Wuvvaaff/45wXM3bdqkWrVqycfHRy1atNCpU6cS7J85c6bKlSunYsWKqWfPnoqMjLT2RUVFqWfPnvLz81PZsmU1ffr0//5gAQAAAABIBC4L+sYYderUSZGRkZo7d67GjBmjH3/8UWPHjpUxRu3bt1fWrFm1dOlSvfnmm+rQoYPOnDkjSTpz5ozat2+vunXrasmSJcqcObPatWsnY4wk6ZtvvlFgYKAGDBigWbNmaffu3RoxYoT1vYcPH659+/Zp1qxZ6tu3rwIDA/X111+7pB0AAAAAAHicUrnqGx87dky7du3Sxo0blTVrVklSp06dNGzYMJUvX16nTp3SggULlC5dOuXNm1ebN2/W0qVL1bFjRy1evFiFChXSu+++K0kaMmSIypQpo61bt6pEiRKaPXu23n77bVWqVEmS1L9/f7Vq1Updu3aVMUaLFy/W1KlTVbBgQRUsWFCHDx/W3LlzVb16dVc1BwAAAAAAj4XLgn62bNk0bdo0K+THu3btmnbv3q0CBQooXbp01nZfX1/t2rVLkrR79275+flZ+zw8PFSwYEHt2rVLfn5+2rt3rzp06GDtL1q0qG7duqVDhw7JGKOYmBgVK1YswWtPnjxZcXFxcjrvf5CDw/GgR43/hTYFAAAAgLs9SFZyWdDPkCGDypUrZ30dFxenkJAQlSxZUhcuXFD27NkTPD5Lliw6e/asJP3r/itXrigqKirB/lSpUiljxow6e/asnE6nMmXKJHd3d2t/1qxZFRUVpUuXLilz5sz3fQxZsqR/oGPGv8uU6QlXlwAAAAAAyZ7Lgv7fjRgxQgcOHNCSJUs0c+bMBEFcktzd3RUdHS1JioyM/Mf9N2/etL6+135jzD33SbJe/36Fh1/V/y8LcBc3NyfB9QFFRFxXbGycq8sAAAAAgCTH4bj/zuYkEfRHjBihWbNmacyYMXrppZeUJk0aXbp0KcFjoqOjlTZtWklSmjRp7grl0dHRypAhg9KkSWN9/ff9Hh4eio2Nvec+Sdbr3y9j9I9BHw+H9gQAAACAR+PS2+tJ0sCBAzVjxgyNGDFCr776qiTJy8tLYWFhCR4XFhZmDcf/p/3ZsmVTxowZlSZNmgT7Y2JidOnSJWXLlk1eXl6KiIhQTEyMtf/ChQtKmzatMmTI8F8dJgAAAAAAicKlQT8wMFALFizQ6NGjVbNmTWu7j4+P9u/fbw3Dl6QdO3bIx8fH2r9jxw5rX2RkpA4cOCAfHx85nU4VLlw4wf5du3YpVapUypcvn/Lnz69UqVJZC/vFv3bhwoUfaCE+AAAAAACSIpcl26NHj2rSpElq3bq1fH19deHCBes/f39/5ciRQwEBATp8+LCCgoK0Z88e1a9fX5JUr1497dy5U0FBQTp8+LACAgL0zDPPqESJEpKkJk2aKDg4WN9//7327Nmjfv366a233pKHh4c8PDxUu3Zt9evXT3v27NH333+v6dOnq0WLFq5qCgAAAAAAHhuHMa6ZFR0UFKRRo0bdc99vv/2mEydOqFevXtq9e7dy5cqlnj17qnTp0tZj1q9fr8GDB+vs2bMqVqyYBg4cqGeffTbB68+cOVPR0dGqVq2a+vbta83fj4yMVL9+/fTtt9/K09NTrVq1UsuWLR/4GMLC/nkxvlSpbi/G13PcGv1xOuKBXzslyf10Jg3+8DVFRFxXTAyL8QEAAADA3zkcUtas97cYn8uCvh0Q9B8Pgj4AAAAA/LsHCfpMSgcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgI6lcXQDwODmdDjmdDleXkSzExRnFxRlXlwEAAADgMSPowzacTocyZfKQ0+nm6lKShbi4WEVERBL2AQAAAJsh6MM2bvfmu+n4qqmKDA91dTlJmkeWHHq+Vms5nQ6CPgAAAGAzBH3YTmR4qCLPnXR1GQAAAADgEizGBwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABtJEkE/OjpatWrV0pYtW6xtn332mby9vRP8FxISYu1ftWqVqlSpIh8fH7Vv314XL1609hljNHLkSJUsWVL+/v4aPny44uLirP0RERHq2LGjihUrpsqVK2vlypWJc6AAAAAAAPzHUrm6gKioKHXp0kWHDx9OsP3o0aPq0qWL6tSpY23z9PSUJO3Zs0e9evVS//79lS9fPg0aNEgBAQGaMmWKJGnGjBlatWqVAgMDFRMTo65duypLlixq1aqVJCkgIEA3b97UwoULtXv3bvXu3VvPP/+8ihQpkkhHDQAAAADAf8OlQf/IkSPq0qWLjDF37Tt69KhatWqlbNmy3bUvJCRENWrUUO3atSVJw4cPV6VKlXTq1Ck9++yzmj17tjp16iQ/Pz9J0ieffKJx48apVatWOnnypH788UetXbtWzzzzjF566SXt2rVL8+bNI+gDAAAAAJI9lw7d37p1q0qUKKGFCxcm2H7t2jWdO3dOuXPnvufzdu/ebYV4ScqRI4dy5syp3bt369y5cwoNDVXx4sWt/b6+vjp9+rTOnz+v3bt3K0eOHHrmmWcS7P/1118f78EBAAAAAOACLu3Rb9KkyT23Hz16VA6HQ5MnT9ZPP/2kjBkz6p133rGG8Z8/f17Zs2dP8JwsWbLo7NmzunDhgiQl2J81a1ZJsvbf67nnzp174Podjgd+Cv4H2jTx0eYAAABA0vcgn9tdPkf/Xo4dOyaHw6E8efKoWbNm2rZtmz799FN5enqqatWqunnzptzd3RM8x93dXdHR0bp586b19Z37pNuL/kVGRv7jcx9UlizpH/g5+GeZMj3h6hJSHNocAAAAsJ8kGfRr166tSpUqKWPGjJKkfPny6Y8//tD8+fNVtWpVpUmT5q5gHh0dLQ8PjwShPk2aNNa/JcnDw+Mfn5s2bdoHrjM8/KrusbyAJMnNzUmIekAREdcVGxv3vx/4D2jzB/eobQ4AAAAgcTgc99/ZnCSDvsPhsEJ+vDx58uiXX36RJHl5eSksLCzB/rCwMGXLlk1eXl6SpAsXLljz8OOH88fv/6fnPihj9I9BHw+H9kx8tDkAAABgLy5djO+fjBs3Ti1btkyw7dChQ8qTJ48kycfHRzt27LD2hYaGKjQ0VD4+PvLy8lLOnDkT7N+xY4dy5syp7Nmzq2jRojp9+rTOnj2bYH/RokX/02MCAAAAACAxJMmgX6lSJW3btk3BwcE6efKk5s2bpxUrVujdd9+VJDVu3FgrV67U4sWLdejQIXXr1k0VK1bUs88+a+0fOXKktmzZoi1btmjUqFFq0aKFJOnZZ59V2bJl1bVrVx06dEiLFy/WqlWr1LRpU5cdLwAAAAAAj0uSHLpfpEgRjRs3TuPHj9e4ceP09NNPa9SoUSpWrJgkqVixYhowYIDGjx+vy5cvq0yZMho4cKD1/FatWik8PFwdOnSQm5ub6tevn2CEwPDhw9WrVy+99dZbypYtmwYPHqwiRYok9mECAAAAAPDYOYxhhu7DCgv758X4UqW6vTBcz3Fr9MfpiMQtLJnJ/XQmDf7wNUVEXFdMzMMvDBff5gdmDVDkuZOPsUL78fB6TgXe7vPIbQ4AAAAgcTgcUtas97cYX5Icug8AAAAAAB4OQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbISgDwAAAACAjRD0AQAAAACwEYI+AAAAAAA2QtAHAAAAAMBGCPoAAAAAANgIQR8AAAAAABsh6AMAAAAAYCMEfQAAAAAAbOShgn6LFi105cqVu7ZfvHhRdevWfeSiAAAAAADAw0l1vw/86aeftGfPHknStm3bNHnyZKVLly7BY06cOKHTp08/3goBAAAAAMB9u++g//zzz2vatGkyxsgYo507dyp16tTWfofDoXTp0mnQoEH/SaEAAAAAAOB/u++g/+yzz2r27NmSpICAAPXq1Uuenp7/WWEAAAAAAODB3XfQv9OQIUMkSRcuXFBMTIyMMQn258yZ89ErAwAAAAAAD+yhgv7GjRv16aefKjQ0VJJkjJHD4bD+f/DgwcdaJAAAAAAAuD8PFfQHDBigIkWK6PPPP2f4PgAAAAAASchDBf2zZ89q2rRpevbZZx93PQAAAAAA4BE4H+ZJfn5+2rFjx+OuBQAAAAAAPKKH6tEvXry4+vfvr3Xr1ilXrlwJbrMnSR06dHgsxQEAAAAAgAfz0IvxFSpUSOHh4QoPD0+wz+FwPJbCAAAAAADAg3uooD9nzpzHXQcAAAAAAHgMHiror1ix4l/3165d+2FeFgAAAAAAPKKHCvrjx49P8HVsbKzCw8OVKlUqFSlShKAPAAAAAICLPFTQ/+GHH+7adv36dfXp00fe3t6PXBQAAAAAAHg4D3V7vXt54okn1LFjR82YMeNxvSQAAAAAAHhAjy3oS9KhQ4cUFxf3OF8SAAAAAAA8gIcaut+8efO7bqN3/fp1/fbbb2rZsuXjqAtAMuF0OuR0clvN+xEXZxQXZ1xdBgAAAGzuoYJ+iRIl7trm7u6uTz75RKVKlXrkogAkD06nQxkzecjN6ebqUpKF2LhYXYqIJOwDAADgP/VQQb9Dhw7Wv69du6bY2Fg9+eSTj60oAMmD0+mQm9NNU9bP1pnL51xdTpKW80kvta3QQk6ng6APAACA/9RDBX1JmjVrlqZNm6awsDBJUubMmdW4ceMEFwEApAxnLp/TifA/XV0GAAAAAD1k0J84caJCQkL04YcfqlixYoqLi9POnTsVGBgod3d3tWnT5nHXCQCAy7AWxf1jLQoAAFzvoYL+okWLNGjQIFWuXNnalj9/fnl5eWnQoEEEfQCAbTidDmXMmE5ubo/1RjW2FRsbp0uXbhD2AQBwoYcK+teuXVPu3Lnv2v7888/r4sWLj1oTAABJhtPpkJubUysXbVHYhauuLidJy5otvd58qwRrUQAA4GIPFfSLFSum6dOna8CAAXI6b/dwxMbGKjg4WEWKFHmsBQIAkBSEXbiqc2cuuboMAACA/+mhgn5AQICaNm2qTZs2qWDBgpKk/fv3Kzo6WtOmTXusBQIAAAAAgPv3UEE/b9686tmzpy5duqRjx44pTZo0+vHHHzV+/Hjly5fvcdcIAAAAAADu00OtLDRnzhz169dP6dOnV79+/RQQEKDmzZvrk08+0aJFix53jQAAAAAA4D49VNCfMWOGRo0apTp16ljbunfvrhEjRigoKOixFQcAAAAAAB7MQwX9iIgIPffcc3dtf/755xUWFvbIRQEAAAAAgIfzUEHf19dXEyZMUGRkpLUtKipKkydPVrFixR5bcQAAAAAA4ME81GJ8ffr00bvvvquyZcsqd+7ckqSTJ08qa9asmjRp0uOsDwAAAAAAPICHCvrPPfec1qxZow0bNuiPP/5QqlSplDt3bpUtW1Zubm6Pu0YAAAAAAHCfHiroS5K7u7teeeWVx1kLAAAAAAB4RA8d9AEAruF0OuR0OlxdRrIQF2cUF2dcXQYAAECiIugDQDLidDqUKaOHnEyTui9xsbGKuBRJ2AcAACkKQR8AkhGn0yGnm5t2fT5F186EurqcJM0zZw4V/aCtnE4HQR8AAKQoBH0ASIaunQnVlRMnXF0GAAAAkiCnqwsAAAAAAACPD0EfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0kiaAfHR2tWrVqacuWLda2U6dOqWXLlipatKhee+01/fzzzwmes2nTJtWqVUs+Pj5q0aKFTp06lWD/zJkzVa5cORUrVkw9e/ZUZGSktS8qKko9e/aUn5+fypYtq+nTp/+3BwgAAAAAQCJxedCPiopS586ddfjwYWubMUbt27dX1qxZtXTpUr355pvq0KGDzpw5I0k6c+aM2rdvr7p162rJkiXKnDmz2rVrJ2Nu3yf5m2++UWBgoAYMGKBZs2Zp9+7dGjFihPX6w4cP1759+zRr1iz17dtXgYGB+vrrrxP3wAEAAAAA+A+4NOgfOXJEb731lk6ePJlg+y+//KJTp05pwIAByps3r9q2bauiRYtq6dKlkqTFixerUKFCevfdd/Xiiy9qyJAhOn36tLZu3SpJmj17tt5++21VqlRJRYoUUf/+/bV06VJFRkbqxo0bWrx4sXr16qWCBQuqatWqeu+99zR37txEP34AAAAAAB43lwb9rVu3qkSJElq4cGGC7bt371aBAgWULl06a5uvr6927dpl7ffz87P2eXh4qGDBgtq1a5diY2O1d+/eBPuLFi2qW7du6dChQzp06JBiYmJUrFixBK+9e/duxcXF/UdHCgAAAABA4kjlym/epEmTe26/cOGCsmfPnmBblixZdPbs2f+5/8qVK4qKikqwP1WqVMqYMaPOnj0rp9OpTJkyyd3d3dqfNWtWRUVF6dKlS8qcOfN91+9w3PdDcZ9o08RHmyc+2jzx0eaJjzYHAODxepC/rS4N+v8kMjIyQRCXJHd3d0VHR//P/Tdv3rS+vtd+Y8w990myXv9+ZcmS/oEej3+XKdMTri4hxaHNEx9tnvho88RHmwMA4FpJMuinSZNGly5dSrAtOjpaadOmtfb/PZRHR0crQ4YMSpMmjfX13/d7eHgoNjb2nvskWa9/v8LDr+r/1/+7i5ubkw86Dygi4rpiYx9++gRt/uBo88RHmyc+2jzxPWqbAwCAuzkc99/ZnCSDvpeXl44cOZJgW1hYmDUc38vLS2FhYXftz58/vzJmzKg0adIoLCxMefPmlSTFxMTo0qVLypYtm4wxioiIUExMjFKlun34Fy5cUNq0aZUhQ4YHqtMY/WPQx8OhPRMfbZ74aPPER5snPtocAADXcfnt9e7Fx8dH+/fvt4bhS9KOHTvk4+Nj7d+xY4e1LzIyUgcOHJCPj4+cTqcKFy6cYP+uXbuUKlUq5cuXT/nz51eqVKmshf3iX7tw4cJyOpNkcwAAAAAAcN+SZLL19/dXjhw5FBAQoMOHDysoKEh79uxR/fr1JUn16tXTzp07FRQUpMOHDysgIEDPPPOMSpQoIen2In/BwcH6/vvvtWfPHvXr109vvfWWPDw85OHhodq1a6tfv37as2ePvv/+e02fPl0tWrRw5SEDAAAAAPBYJMmh+25ubpo0aZJ69eqlunXrKleuXJo4caJy5swpSXrmmWc0YcIEDR48WBMnTlSxYsU0ceJEOf5/GcKaNWvq9OnT6tOnj6Kjo1WtWjV17drVev2AgAD169dPb7/9tjw9PdWxY0dVq1bNJccKAAAAAMDjlGSC/m+//Zbg61y5cikkJOQfH1+hQgVVqFDhH/e3adNGbdq0uec+Dw8PDRs2TMOGDXu4YgEAAAAASKKS5NB9AAAAAADwcAj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANpLK1QUAAADA9ZxOh5xOh6vLSBbi4ozi4oyrywCAf0TQBwAASOGcTocyZUonp5PBnvcjLi5OERE3CPsAkiyCPgAAQAp3uzffqRPfHVBUxA1Xl5OkpcmUTrmqFpDT6SDoA0iyCPoAAACQJEVF3FBk2DVXl5FiMF3i/jFdAngwBH0AAAAgkTFd4sEwXQJ4MAR9AAAAIJHFT5dYvXq1Ll686OpykrTMmTOrZs2aTJcAHgBBHwAAAHCRixcv6vz5864uA4DNMFYIAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBGCPgAAAAAANkLQBwAAAADARgj6AAAAAADYCEEfAAAAAAAbSeXqAgAAAAAgMTidDjmdDleXkSzExRnFxRlXl4GHRNAHAAAAYHtOp0OZMqWT08mg5vsRFxeniIgbhP1kiqAPAAAAwPZu9+Y7dejXpbpxNczV5SRp6dJnVb5i9eR0Ogj6yRRBHwAAAECKceNqmK5dCXV1GcB/inErAAAAAADYCEEfAAAAAAAbIegDAAAAAGAjBH0AAAAAAGyEoA8AAAAAgI0Q9AEAAAAAsBFurwcAAJKc2/e7dri6jGQhLs5wn2sAQAIEfQAAkKQ4nQ5lyughp5ubq0tJFuJiYxVxKZKwDwCwEPQBAECS4nQ65HRz05qFwbp4PtTV5SRpmbPn0GsNW8npdBD0AQAWgj4AAEiSLp4P1fkzp1xdBgAAyQ6L8QEAAAAAYCNJOuh/99138vb2TvBfp06dJEkHDhxQgwYN5OPjo3r16mnfvn0Jnrtq1SpVqVJFPj4+at++vS5evGjtM8Zo5MiRKlmypPz9/TV8+HDFxcUl6rEBAAAAAPBfSNJB/8iRI6pUqZJ+/vln67/PPvtMN27cUJs2beTn56dly5apWLFiatu2rW7cuCFJ2rNnj3r16qUOHTpo4cKFunLligICAqzXnTFjhlatWqXAwECNHz9eX375pWbMmOGqwwQAAAAA4LFJ0kH/6NGjeumll5QtWzbrvwwZMmjNmjVKkyaNunXrprx586pXr1564okn9PXXX0uSQkJCVKNGDdWuXVv58uXT8OHDtX79ep06dXue3+zZs9WpUyf5+fmpZMmS+uSTTzR37lxXHioAAAAAAI9Fkg/6uXPnvmv77t275evrK4fj9v11HQ6HXn75Ze3atcva7+fnZz0+R44cypkzp3bv3q1z584pNDRUxYsXt/b7+vrq9OnTOn/+/H96PAAAAAAA/NeS7Kr7xhgdP35cP//8s6ZMmaLY2FhVr15dnTp10oULF/TCCy8keHyWLFl0+PBhSdL58+eVPXv2u/afPXtWFy5ckKQE+7NmzSpJOnv27F3P+zf/f50BjxFtmvho88RHmyc+2jzx0eaJjzZPfLR54qPNEx9tnnQ8yM8iyQb9M2fOKDIyUu7u7ho7dqz+/PNPffbZZ7p586a1/U7u7u6Kjo6WJN28efMf99+8edP6+s59kqzn368sWdI/8HHhn2XK9ISrS0hxaPPER5snPto88dHmiY82T3y0eeKjzRMfbZ58Jdmg//TTT2vLli168skn5XA4lD9/fsXFxalr167y9/e/K5RHR0crbdq0kqQ0adLcc7+Hh0eCUJ8mTRrr35Lk4eHxQDWGh1+VMffe5+bm5BfjAUVEXFds7MPf/YA2f3C0eeKjzRMfbZ74aPPER5snPto88dHmie9R2xyPl8Nx/53NSTboS1LGjBkTfJ03b15FRUUpW7ZsCgsLS7AvLCzMGnbv5eV1z/3ZsmWTl5eXJOnChQt65plnrH9LUrZs2R6oPmP0j0EfD4f2THy0eeKjzRMfbZ74aPPER5snPto88dHmiY82T56S7GJ8GzZsUIkSJRQZGWltO3jwoDJmzChfX1/9+uuvMv//rjPGaOfOnfLx8ZEk+fj4aMeOHdbzQkNDFRoaKh8fH3l5eSlnzpwJ9u/YsUM5c+Z8oPn5AAAAAAAkRUk26BcrVkxp0qRR7969dezYMa1fv17Dhw/Xe++9p+rVq+vKlSsaNGiQjhw5okGDBikyMlI1atSQJDVu3FgrV67U4sWLdejQIXXr1k0VK1bUs88+a+0fOXKktmzZoi1btmjUqFFq0aKFKw8XAAAAAIDHIskO3ff09FRwcLAGDx6sevXq6YknnlCjRo303nvvyeFwaMqUKerbt68WLVokb29vBQUFKV26dJJuXyQYMGCAxo8fr8uXL6tMmTIaOHCg9dqtWrVSeHi4OnToIDc3N9WvX18tW7Z00ZECAAAAAPD4JNmgL0kvvviiZsyYcc99RYoU0fLly//xuXXr1lXdunXvuc/NzU0BAQEKCAh4LHUCAAAAAJBUJNmh+wAAAAAA4MER9AEAAAAAsJEkPXQfAAAAAJB8OZ0OOZ0OV5eRLMTFGcXFPZ77GRL0AQAAAACPndPpUMZM6eTmZCD5/YiNi9OliBuPJewT9AEAAAAAj53T6ZCb06mQbQd17uoNV5eTpHmlT6dmxfPL6XQQ9AEAAAAASdu5qzd0+vI1V5eRojCGAgAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAGyHoAwAAAABgIwR9AAAAAABshKAPAAAAAICNEPQBAAAAALARgj4AAAAAADZC0AcAAAAAwEYI+gAAAAAA2AhBHwAAAAAAG0mxQT8qKko9e/aUn5+fypYtq+nTp7u6JAAAAAAAHlkqVxfgKsOHD9e+ffs0a9YsnTlzRt27d1fOnDlVvXp1V5cGAAAAAMBDS5FB/8aNG1q8eLGmTp2qggULqmDBgjp8+LDmzp1L0AcAAAAAJGspMugfOnRIMTExKlasmLXN19dXkydPVlxcnJzO+5vR4HRKxvz7Y3LnzKw07imyme9bjqwZrH/fZ9P/q3Rez8mZ2v3RX8jG0mZ+yvr342jzXJmfUZpUtPm/eSpDduvfj6PNM+R6Tm5p0jz6C9nYE095Wf9+HG3+VI6MSp3a7dFfyMayZE1v/ftxtHn2nM8pNefzf5Up2+M9n6fN6ilnqhQ7s/O+uGdMZ/37sbzPs2dX6tSpH/2FbCxTpkzWvx9Hm3s++ZScbrT5v0nnmcX69+No82ee9JS7G+eWf5Pd83+fWxyO+389hzH/K6razzfffKMBAwZo48aN1rajR4/qtdde0+bNm5U5c2YXVgcAAAAAwMNLkZdVIiMj5e6esIcg/uvo6GhXlAQAAAAAwGORIoN+mjRp7gr08V+nTZvWFSUBAAAAAPBYpMig7+XlpYiICMXExFjbLly4oLRp0ypDhgz/8kwAAAAAAJK2FBn08+fPr1SpUmnXrl3Wth07dqhw4cL3vRAfAAAAAABJUYpMtR4eHqpdu7b69eunPXv26Pvvv9f06dPVokULV5cGAAAAAMAjSZGr7ku3F+Tr16+fvv32W3l6eqpVq1Zq2bKlq8sCAAAAAOCRpNigDwAAAACAHaXIofsAAAAAANgVQR8AAAAAABsh6AMAAAAAYCMEfQB4AHFxca4uAf/DuXPnXF0CAACASxH0AeA+TZkyRbNmzVJ0dLSrS8E/WLFihQYMGKCdO3e6uhQgUc2cOVOtWrVSbGysq0sBANuIiYlxdQkPjaCPREVvKJKzuLg4DRs2TMuWLdOtW7dcXQ7uIVu2bAoLC9PixYv166+/urqcZIcb8SRffn5+2rt3r7p27Zqiwv61a9dcXQLEuSO54ed1f/744w99//331tfJ7bMfQR+J4ujRo5Ikp5O33OPGxZPE88EHHyggIED9+/fX4sWLk90JPyUoU6aMPvnkE/3xxx9asGABYf8BnT59OsHXnF+Sj0KFCmn27NnavHmzOnfunCLC/rJlyzRx4kSFhoa6upQUa82aNdqzZ48cDoe1LSW895KrI0eOyBgjh8NB2L8PUVFR+uijjzR9+nQFBwfrxx9/TFbtRurCf27atGmqWbOmPv74Yx04cEAXL16U9NfVxOT0C5MUTJo0SZ9//rkOHDggiYsniSEuLs4KPG+//ba6d++ugQMHEvaTkDuH1hUvXlwff/yxzp49q3nz5mnPnj0urCz5mDNnjqpUqaLx48dr5cqVkv46vxD4k647fzb58uXTjBkztHPnTvXq1cu204ziPzecOXNGW7Zs0dKlS3X27FkXV5XybNiwQZ07d1bDhg01cuRIffnll5IkNzc3SZw3kprvvvtOAQEBWrVqFWH/Pnl7e2v69OkaPXq0RowYofz58ye4qJXUkRDwn/Py8lLOnDm1c+dOde7cWV26dNH69esVGRkpScnqF8bVTp8+rcmTJ+vzzz/X5MmT1bFjR506dcoausgJ+/Hat2+fpLvDTsuWLa2wv3z5cpfVB+nrr7+WJKVKlUqxsbFW4Pf399fTTz+tb775RiEhIfTs34f4c/Lvv/+uGTNmqHnz5lq3bp0uX76c4IIi55mkYfPmzbp48aKcTmeCi5H58uXTq6++qhUrVqhnz5627F395ZdfJEkdOnRQzZo1tW7dOi1atIiwn8hKly6tGjVqyM/PTwcPHtSoUaP0zjvvaO3atYqIiKAjIol5+eWX9dRTT+mLL77QmjVrCPv/Ir5N4uLirM8WTqdTX331lYsrezD8BuI/lz9/fr3wwgvq2rWrPvjgA6VJk0Zt27ZVhw4dNHPmTMXExFgfRLj6+++efvppvf/++3ryySfl4+Ojixcv6s0331TPnj21efPmBCdrTtyPZuvWrercubNmz54t6d5hv1u3bhowYIDWrVuXYB8Sx9mzZ/XJJ5/o/fffl3S7Fyn+wmFQUJDWrVunjh076vTp0wzj/xfx54pWrVqpcuXK8vT0VI8ePXTr1i316NFDzZo101dffaWTJ09K+uviLOcY19mzZ49GjBihzz//3ApUd77316xZo759+9pyGP+hQ4fUqVMnDRkyRNLt9+2rr76qn376ibCfiIwxiouLU548eZQjRw61a9dO/fv3V1hYmPr06aOmTZvq+++/1/Hjx11dKnR71FuWLFk0YMAAPfHEE1q6dKlWr179j2E/Ojo6xZ7j4+LirPOp0+lUuXLltH//fk2YMEFjx45VYGCgiyu8fwR9/GfiTxAvvPCCvL29NXToUJUrV87qkXZzc9PQoUP17rvvatq0abpy5QpXf/9F/Ae1atWq6aWXXpLT6VRISIhatmypixcv6r333lPXrl21cOFCSYyUeFQ5cuRQtWrVtGbNGoWEhEi6O+y/8847evfddxUQEKCwsDDev4kse/bsmjlzpg4cOKB27dpJuh32J0+erODgYA0fPlytW7dWp06ddOrUKS1atEjbt293cdVJj8PhUGxsrIwxKliwoE6ePKlnn31WCxYsUEBAgPLmzauPP/5YH330kYKCgnTp0iXFxsZyjnGhIkWKqEaNGjp69Kg+//xzXbp0SQ6HQ1OmTLHe+40bN1ZwcLC2bdumbt262Sbs58yZU5988onWrVunYcOGSZJat25N2E9kDodDqVOnVt26dfXjjz9q06ZNqlChgr788kv16tVLx44dU7du3fTxxx9r+vTpOnXqVIoNjq4UP30nVapUiomJUaZMmdS3b19lyJBBy5YtSxD24507d04zZsywRs6kJHFxcdZnuQULFmjAgAGaNm2azp8/r1deeUXDhw/XpEmTNHHiROs5N2/edFW5/5PD8FuH/1BsbKzc3Nx07do1tWjRQi+99JKGDh0qSWrbtq2OHz8uT09PnTlzRpcuXVJAQICaNWtmze+CFBISorJlyyp37tySbl9A6dq1q44cOaIlS5YoVapUunr1qurWravLly/rxo0bKly4sMqVK6eGDRsqS5Ysrj2AZOzUqVNasmSJfv75Z9WpU0fNmjWT9FfQdzqdOn/+vFq0aKHPPvtMfn5+riw3RYmOjpa7u7skaceOHfrwww9VokQJ+fj4aNKkSRo2bJgqVKhgPX7btm0aMGCAfH19FRAQoDRp0riq9CTjq6++ktPp1KuvvmptO3funOrUqaNq1aqpX79+kqSOHTvq119/1Ysvvqht27YpY8aMqlu3rjp37uyiylO2W7duKXXq1JKk6dOna/369fLz81NsbKwWLFig4cOHq3z58tbjDx06pLp16+rNN9+0esGTu6tXr2rNmjWaNm2aXnnlFfXo0UOSNHXqVH3zzTcqX7683nrrLT311FMurtTe4kPR7NmzrU4cHx8fdevWTXv37lW9evX066+/au3atfLx8dG0adOUPn16V5edYkybNk3h4eGqWLGiSpQokWBfRESE+vfvrytXrqhOnTp6/fXXJd3+GzB8+HCtXr1a3377rZ577jlXlO5yw4YN05IlS5QvXz7FxsYqY8aM6tu3r7y8vLRq1Sp17dpVjRs31pUrV1S5cmW99tprri75nlK5ugDYy9KlS3XkyBFdu3ZNrVu3tk4QHh4eKl26tNavX6/w8HANGzZMe/fu1fz58/Xcc89p586d+v7771WmTBlC/h127NihwYMHa+3atZL++qPatWtXvfbaa5o8ebI6dOigwYMHKzY2ViNHjlRkZKSmT5+ulStXqnbt2q49gGRm7969unjxomJiYlSsWDE9++yzat68uYwx1lz8Zs2ayel0WvO1IiMj5e7uTnBMJPPnz9fBgwe1d+9eVa5cWfXr15evr6/GjRunnj17avXq1Zo/f76KFSummJgYpUp1+89c8eLF1a9fP3l5efGzknTlyhXNmjVLGTJkUJo0aVSxYkVJt9dU6dChgyZNmqTGjRtrzpw5+vXXXzVnzhxlz55df/75p2bNmqU6deq49gBSoGXLlmn//v0KDQ1VgQIF1KFDB7377ruSbl+0OXjwoEaMGKHy5csn6JXKly+fVq5caf0uJEfxnQbxPY/p06dXzZo1rQ/fnp6e6tChg1q3bi1J+vbbb+V0OlW3bl3lzJnTxdXbw997faW/Rrn5+voqU6ZM2rFjh2bOnKmtW7dq6tSpKlCggKKjoxUaGmr93JA4Ll68qOXLlysiIkJLlixRlSpVVLVqVVWuXFmSlClTJvXp00f9+/fX8uXL5XQ65efnp9GjR+vHH3/UsmXLUmzI/+qrr7Rq1SrNmTNH+fLl07hx4zRt2jT169dPvXv3Vq1atZQ2bVpNmDBBnp6eqlatmqtL/kf06OOxGTp0qFasWKE8efLo7NmzioqK0rRp05Q/f35J0qVLl1SrVi3dvHlTGTJk0KRJk5QvXz4XV520HT16VHXq1NHy5cuVJ08eax5VbGyshg0bpv3798vNzU3Hjh3T5MmTVbhwYeu5Fy9eVObMmV1YffIyZswYff/997p06ZLc3d119epVvf/++6pdu7bc3d0VHBysn3/+WbVq1dI777xjPW/UqFFat26dZs6cyeiJ/9iwYcP05Zdfql69egoNDVVUVJT69eunTJkyKTY2Vr/++qu6du2qwoULa/z48ZKUIOwjoZMnT2rw4MFyOBx66623VKlSJUnS/v371aVLF0VERChjxowaMWKEihQp4uJqU7Zhw4ZpzZo1qlChgm7evKmTJ09qwoQJypYtm6Tbd0xYvXq1Xn75ZbVu3VqZMmVKEPaTs8WLFytdunSqUqWK0qRJk+B3esKECZo+fbo8PT1Vq1Ytde/eXdLtkQ4LFy5U3bp19d5779GB8Jj82/l09OjRCgoKUo4cOTRjxgxrFKJd3ofJjTFGY8aM0datW9W+fXuNGTNGYWFhevbZZ/XBBx8ob968ypEjhy5evKjPPvtMFy5c0PXr13Xs2DHNmzdPBQoUcPUhJJq/v0eDg4N18OBBjRw5Uvv371ffvn1VtGhRnTp1SqlTp9ann34qLy8vXblyRenTp7emvyXJ84wBHoNBgwYZX19fc+DAAXPjxg0TFRVlmjdvbpo0aWKMMebWrVvGGGNmzJhhSpUqZZYsWeLKcpONI0eOmKJFi5rff//9rn3btm0zhQsXNiVLljShoaHW9piYmMQs0RYGDRpk/P39zc8//2xOnjxpLly4YIYOHWrKli1runbtak6ePGmuXLliJk2aZKpUqWK6d+9uZs6cafr27WuKFy9uDhw44OpDsL3ly5ebcuXKmf3791vbrl+/ftfjtm/fbkqVKmXatWtnbeN3IqG4uDjrnHzixAnTunVr8/7775u1a9daj5k0aZLx9vY2P/30k/WcO5+PxLN48WJTvnx5s3v3bmtbVFSUMeavv63GGDNz5kzTrFkzM2TIEHPx4kVjjDGxsbGJW+x/oG3btua1114z3333XYLf+SlTphh/f3/z7bffmmXLlpkqVaqYoUOHWvtnzZplTp486YqSbWXWrFmmWbNm1td/P5/Gnw9OnTpl3nrrLfPxxx/b4n2XnMX/TC5fvmz8/f3NrFmzzK1bt8zSpUtNo0aNTNGiRU3t2rXN6tWrrc/sHTt2NGXKlDEHDx50cfWJ686/Z5MnTza7d+82s2fPNq1atTKXLl0yAwYMMOPGjTO3bt0yY8aMMd7e3qZUqVLmyJEj1vOS8vudS2x4ZEOHDtXKlSsVEhKi/PnzK02aNHJ3d1eZMmWsK7/x/4+fw3z69GlJrFJ+L0ePHrX+7e7uLk9PT+tKY0xMjIwxMsbIz89P77zzjuLi4hLcyz1JXlFMwoYOHaovvvhCs2fPVpkyZfTss88qa9as6t69u9q3b68DBw7o888/V2xsrJo3b66+ffvqjz/+0Pr163X9+nXNmzfPGrWC/86pU6dUu3btBL0Mt27d0rx589S5c2cNHDhQ69atk6+vryZMmKB9+/apRYsWkvidiHfx4kVFRkbK4XBY5+TnnntOAQEBiomJ0aJFi/T9999LkurVq6cXXnhB33333V0L77EIX+I6cOCAatWqZY2qMP8/qmv58uUaNWqUJk6cqD/++ENvv/22qlWrpt9//11jxozRpUuXknVPqvn/AaeTJ09WgQIFNH78eG3cuFHS7R774OBgjRo1SlWrVtUrr7yiNm3a6Mcff1Tfvn0lSS1atNCzzz7rsvrtwtvbW0eOHFHHjh0l3T6f3rmwY/z54Omnn1a+fPm0f/9+XblyxSW14jaHw6Fbt24pQ4YMatWqlZYsWaLDhw+rbt26mj9/vrJkyaI//vhDnTt3VosWLTR58mT16dNHy5YtS3EjbePfv1988YWmT5+ua9euqXnz5goICNDVq1d14MAB+fn5KVWqVHr++edVsWJFNW/eXLly5bJeIymfZ5NuZUgW5s6dq5kzZ2rQoEHKly+fNW9Zkm7cuCEPD48Eq6wWKlRITZo00dSpU3Xq1Kkk/cvhChs2bFC7du20Zs0aSdITTzyhqKgoHTt2TNLtCyZ3fsguXry4PDw8tHXrVpfUm9ytWbNGM2fO1Mcffyxvb29Jf32IlqRGjRqpcePGWrt2rdatWydPT0+VLVtWCxYs0PTp0zV48GC98MILrjyEFOPChQvau3ev9fXChQv1wQcfaMCAAdq2bZu2bt2qAQMG6Ntvv5Wvr6+GDRumCxcusPr2/1uwYIFKly6thg0bKjAwUPPmzVN4eLiuXbum559/Xp999pkkacWKFfrhhx+UPXt2lStXTuvXr9e1a9dcXH3KFRsbq8jIyAR/R5cvX673339fAQEBWrJkiaZOnapevXrp999/V/PmzeXr66sLFy4oJibGhZU/uvjhsJI0YsQIvfjii5o8ebK6du2qKVOmaPz48SpbtqwkKUOGDKpevbqaNWumPXv2KDw8nBXeH5MSJUpo4sSJ+vXXXxPc3eTvd3FwOBz6+OOPdfbsWc2cOdMFlaZskZGRunTpkq5fvy5J1oKdpUuXVnh4uDZv3ixJCggIUGRkpGbNmqWJEycqc+bMWrhwoWJiYpQ9e3aX1e9KX3zxhdasWaMGDRqodOnSkqS8efPq4MGDOnr0qHWR9auvvtLTTz+tDz74QKlSpUoWdzJhjj4e2tWrV7Vr1y6NGDFCFStWVK1atfTSSy9JkmbOnKmhQ4cqV65c8vf3l7u7u/Lly6cqVapo27ZtWrVqlXr06MEiOX9z8OBBLViwQL/99pveeecdvfrqqypXrpyyZcum7Nmzq3DhwipWrJiyZ89uBcx33nlHUVFRCgkJ4cLJA9qyZYtmzJihdOnSqUGDBipVqpQkWaMm4tszICDAet+mTZvWer65x+JEeHzWrFmjl156SS+88ILWrl2rqVOnys3NTVevXtWRI0eULVs2ffzxx9Y5Jjg4WJLUvXt3GWMUFRWV4OeVUhljtG7dOk2ePFm7d+/Wiy++qOjoaEVERCh9+vSqWLGi/P39lSZNGk2ePFnZsmVTq1at5OXlpVatWik4OFg5cuRw9WGkKKtXr1bNmjUlSTNmzNCECRNUrVo1HTp0SIcPH9aTTz6pLl26qHjx4sqSJYveeecdlSpVSh9//LGk22viZMyY0YVH8GjunDN759zXgIAALV++XO3atVOnTp0kJTwPX7t2TXFxccqQIYNrCreRv89bjr+7SZEiRTRp0iRJCe8AERoaqh9//FE3btxQ1apVE/R44r81Y8YM7dy5Uzt27FCWLFn0wQcfJFgFPjAwULNnz1aRIkV06NAhTZkyRQULFpQk60Kup6enS2p3hb9/dgsJCdHUqVPl4eGhcePGWR0/Z86cUc+ePfXHH38oc+bMunXrlpYvX65UqVIlm89/BH08lAEDBujAgQNasGCBVqxYoZCQEL388svq2LGjli5dqkmTJqlmzZrKnDmzDh8+rH379unKlSu6fv26ihcvrmHDhvHB8Q53njAOHz6s+fPna8+ePWratKnmz5+vp59+WteuXdPp06d14sQJubu7K3v27FavW9WqVfX888+7+CiSp61bt2r27NmSbq+oX7JkSUl/9eynSpVKO3bsUNeuXRUcHEw7J5IBAwZoxYoVWrNmjZ566ilFR0dr+fLl2rBhg65cuSJ/f381btw4wQKIw4YN0+HDhzV16tRk8Qc4McSfW2JiYrRp0ybNmTNH165d08SJE3X48GFt2rRJu3bt0p49e/Tcc8/pt99+s4Yo9uzZUz4+PkqXLp2rDyNFGTx4sGbPnq0ffvjBuhgeGBiojRs3yuFwyNfXV82aNZOXl5f1nFGjRunPP//UmDFjXFX2Y7Fnzx6r9+yfwn63bt30+++/q127dqpQoYLSpEmTbD50JweLFi1Snjx5VLBgQXl4eFjbjTHauXPnXWE/NjbWupvSunXrtGLFCqZMJKIRI0Zo5cqV6tSpk5xOp5xOp1555RU9+eST1u/QwYMH1a5dOxljNH78+BS9uOqd55Xw8HDrM8S3336riRMnytfXV82bN9fzzz9vved37dqlqKgotWnTxurJTy5TAlmKGA9s8ODBWr16taZNmyZJ1i3c5s2bp7Zt2+rQoUOaPn26ihYtaj3n+vXrOnv2rDZs2KAKFSoQ8u8Qf8KIX832xRdfVKNGjeRwOBQSEqL9+/fr/fffV+XKlXX9+nUdPnxY58+f1/r163X69GlVrlyZ8PkQ4nsi/P39ZYzRnDlzFBISIkkqWbKkHA6H9cfg6tWrSpMmDYEnkcSfY+bOnaunnnpKMTExcnd3V8OGDfXWW2/d9YE+/nfn5s2bKW5+4f8Sf6eOVKlSqVSpUjLGKDAwUH379tWYMWNUokQJRUVFKTo6Wnv37tXu3bu1d+9eHTx4UM8++yzv+UQ2ePBgrVy5UitWrFDOnDmt81SHDh3UpEkTZc6c+a6/GTExMTpz5kyy/zuwadMmjRgxQm+++aZatmwpp9NpfSiPHyru5uam4cOHq0uXLgoMDJTT6VTZsmUZufOYbNu2TX369FG6dOn0xhtvKG/evNYtZh0Oh3x8fDRu3Dh9+OGHateunSZNmqQbN25o6NCh+uGHHzRv3jxCfiJasWKFvvrqqwQ99PG/MzNnztTp06fVq1cv5c+fX+XKldN3332Xou+GcOcxT5kyRevWrZObm5s+/PBDVatWTVFRUZo5c6bSpEmjBg0aKE+ePPL19ZWvr6/1Gskp5Ev06OMBBQYGatKkSVq8eLEKFiyo6Ohoubu7S7o91DAwMFB58+ZV9+7drZP9nUO7kND06dN15swZvf/++8qUKVOCk8ehQ4e0aNEizZ8/Xx07drTmxsWLi4tTbGwsbfsAVqxYIQ8PD5UvXz5BT4V0exj/nDlzJCXs2Zf+6ikeO3Zsihre5gqDBw/WsmXLFBISYq37ca/bOe3du1fp0qVT7ty5dfnyZc2aNUvz58/X/PnzlTdvXhdUnrQsX75cmTJlUsWKFRNsv3XrljZv3qzAwEBlyJBBU6ZMueeHlqioKKVJkyaRqoV0+72/fPly697N//Te//XXX+Xt7a106dLp2rVrmjp1qhYsWKD58+crT548Lqj80d24cUPR0dEKDAzUsWPHVL58ebVs2VJSwg/nd7ZJjx49tGnTJvXv39+6NSQe3ccff6yjR4/Kx8dHa9euVc6cOfXmm2/qtddes3o/d+7cqQ4dOqhAgQLKnj27vvrqKxamTUTxF1769OmjJ554Qt27d08QQIODgzVu3DhFR0erdu3aGjp0qMLCwlS3bl3VqlVL3bp1c/ERJL47zyMjRozQwoUL1aZNG/3yyy86d+6cOnfurFdeeUVffvmlZs2aJX9/f9WrVy/5f574r5f1h30MHjzYeHt7mzp16phvv/3WREdHG2MS3t7niy++MPXr1zeDBg0yR48edVWpycKVK1eMv7+/8fb2NmXLljWDBw+2bmUV77fffjOffvqpeeutt8xXX31lbed2YQ/u0KFDxtvb25QrV87UqlXLrF271pw4cSLBYzZt2mTat29v2rVrZzZv3myMMWbcuHHGz8/PHDp0yBVlpyijR482RYsWNX/88YcxxljnGGOM+fzzz63fj5iYGNOnTx/z+uuvmwoVKphmzZqZV155JcGt91KquLg4s3PnTuPt7W28vb1N7969zZw5cxI8Jioqyqxfv940aNDAtG7d2jqfxN+yDYlv8ODBpmTJktatre587y9fvtx8++23xpjbfzcGDRpkSpcubZo1a2aaNWtmKlasmKzf+0OHDjVjxowxxhgTHh5uBg0aZFq0aGFmzJhhPebO21fd+fdv4MCB3ELvMYlv16VLl5p27dqZdevWmYMHD5omTZqYSpUqmXLlypkFCxZY77WdO3eaChUqGG9vb24x6wK3bt0yr7/+ugkKCjLG/PU7MmXKFJM/f36zfft2s2/fPuPn52cCAgJMXFyc6dChg2nVqpW5ceOGK0tPVKtXr07w9e7du02NGjWs9+zWrVuNt7e3eeONN8z3339vjDHmyy+/NBUrVrzrb2dyRI8+7kufPn20du1ajRs3TkuXLlVoaKjq1KmjWrVqJRhCKN3uNZ07d678/PysWzThbsYYTZ06VWfOnJGnp6f27dunX3/9VdWrV1fFihVVo0YNSdKxY8c0e/ZsHTp0SI0aNbKmSuDBhIWFqXv37nrqqafk4eGhL774Ql5eXqpXr56qVatmzYXdvHmzQkJC5O7urri4OP3444+aN2+eChUq5OIjsLd9+/apefPmeuONN9S9e/cEQ8anTZumsWPH6vPPP1e5cuUk3Z4O9PXXXys0NFR58uRR0aJFWdzzDn369NGZM2eUOnVqHTt2TO7u7nr33Xf18ssvK1euXIqJidGWLVs0evRoZc+eXRMmTLhn7zH+e4cOHVLt2rWtBebuHAU3ZcoUBQcHa9q0ada82vDwcM2fP19Xr17Vs88+q4oVK+qZZ55x5SE8tKFDhyokJERLly61FsC6ePGiJk+erN9++02VKlWyevbjnTt3TiEhIfL19b1rxAoe3blz59SkSRNVrFhRn376qaTbQ/rfeecdeXh4KE2aNGrUqJH8/PyUJk0aeXl5ce51kQYNGuill17SoEGDrG2//PKLYmNjVaZMGUnS2rVr1b59e61Zs8YaBRo/fN/uZs2apcOHD2vAgAFWb/5PP/2kXr16afXq1QoNDdWwYcNUs2ZNbd68WVu2bFHfvn31yiuvaNu2bfL19U1Ww/TvycUXGpAMnD592hQvXtzs3r3bGGNMRESE6dy5s3n77bfNypUrravAd/bsr1y50lSrVs2MHj06Qc8EjJkxY4bVc7Zt2zZTtmxZ880335hr166ZRYsWmSpVqpiSJUuad99916xdu9ZcvnzZXL582XTv3t2888475urVqy4+guQjLi7OxMXFWV+vXLnSFCxY0Jw9e9bs2rXL9OzZ0xQpUsTUqlXLDBo0yFy8eNEYY8zBgwdN06ZNTcmSJc2+fftcVX6K8/nnn5tGjRqZ8ePHmwsXLhhjbvdO+Pv7m40bN1qPY0TLP4t/z0+fPt20a9fObNu2zezevdu0aNHClCpVypQtW9bMmzfP/Pbbb8YYY7Zs2WJee+0107FjRxdXnrJNmzbNFCpUyCxatMjaNmXKFFOiRAlrJMud5zI7GDRoUILRUrdu3bKOMSwszHz22Wd39eyHhoaajz/+2OTPn59Rg4/B+fPnTWho6F3bV65caQoVKmSNbOvataupWrWqCQkJMX379jX58uUzderUMeHh4Yldcoo2Y8YMs2fPngRf16tXz/z666//+JzJkyebatWqmevXrydChUnL5cuXrc8Lu3btMsYYc/z4cTN06FBz8uRJExgYaAYOHGiuX79uzp49a/Lly2eqVauW4JyT3D9v0KOPf7VhwwYVLFhQmTNnliRrTv6VK1fUv39/hYeHq27duqpZs+ZdPftr1qxR4cKFWZjlDkOHDtXMmTP19ddfW1dUR44cqRUrVmjevHl67rnnFB0drVdffVWhoaFKkyaNcuXKpebNmytHjhzKly+fsmbN6tqDSEauXr2q9OnTWz1kcXFxatOmjZ544gkNGjRInp6eOnPmjKpUqaK4uDhlzZpVNWrU0Jtvvil3d3elT5+ehSMT2aRJk/TDDz/o9ddfV3h4uBYtWqQRI0ZYPfnxFixYoPTp06tmzZqsuK2/5h/Gz9O8ceOGXn/9dfn7+2vIkCGSbi921rZtWxlj9NRTT6l69eqqVq2aLl68qJdeeoleORcLCgrSmDFjNHHiRJ08eVKff/65Ro0aZd0rPt6yZctUuHBhvfjii8n2vT9kyBCtWLFCM2fOVP78+RN8djh37py8vLwUHh6uKVOmWD37NWvW1KhRo/TNN99o7ty5KlCggIuPInn7/PPP9d133+nEiROqVq2a6tevby069ueff6pbt24qUqSI/vzzT+3cuVPBwcHWHPxz587p1q1byXYkSXL13nvvaffu3dY6Hvv27dNHH30kf39/ffDBB3d93jbGqHv37nJ3d1efPn2sNbVSgjvXLNi0aZOGDRumevXqqUWLFrpy5YpiY2PVpEkTvfvuu2rQoIH27NmjcePGqVKlSmrSpIl9Fip05VUGJG2HDx82VatWNf369TO///67tT2+5/7y5cv37NmnB//eRo4cafz9/c2RI0eMMX/Np9q7d6+pUaOGdQWxd+/epmLFiubIkSMmJCTEtG3b1vj7+5tz5865qvRk6euvvzYVKlSw5m/Gvz9nzpxpypUrZ82F7dOnjylfvrxZu3atCQgIMGXKlDH+/v6MnEgEmzZtMosWLTKLFi0y69ats7ZPmTLFVK9e3RQpUsSsWrXKGJNwju6YMWNMwYIFrd8lJBTfVqtXrzYlS5a02rZHjx7m1VdfNUuWLDEBAQGmQIEC5o033rBGsiDxbN261Xz//fdmyZIl5tixY9Yor88//9xaX2Hbtm3GmIQ9+ePGjTPe3t7m+PHjrij7sZg2bZrx9vY227dvN8YkXBti/Pjxply5cuby5cvGmIRz9qtVq2Z8fHyS9XoEScWgQYNMiRIlTFBQkAkKCjJlypQxHTp0SPCzmDJlivH29jaVKlVKsA5Ccu/hTM5iYmJM586dTYkSJazfg6+//toULFjQdOvWzfzyyy/WY69cuWLGjh2b4HNnSnTx4kVz9epVM2jQINO8eXMza9Ysa3vdunXNl19+aUJDQ80HH3xgunTpYp1v7/zMkZzRo49/9eWXX2ru3LkqVKiQGjVqZM23j7/6fmfPfr169fTaa68l//ks/4Hx48dr0qRJ+vDDD/XBBx9ISrgCaNeuXXXo0CE9/fTTOnDggCZMmCAfHx/r+fE907h/u3bt0uTJk3X+/HmNGzcuwZXuOnXq6Omnn1aGDBn0008/KSgoyOodOnbsmDw9PZU9e3ZXlZ4ijBo1SqtXr1bGjBl16dIlXb58WSVKlFDv3r2VM2dOzZ07VwsWLFCtWrVUu3Zt657h48aN0/Tp0xUSEqLChQu7+Chcb8WKFdq3b5+OHz+unDlzqlu3bta54sSJE/roo49UsmRJnT59Wjt27NCUKVNUqFAhxcbG6tq1a7p27ZqefvppFx9FyjJq1Ch99dVXcnNzU1hYmLJly6bChQurT58+Sp8+vebOnauBAwdqxIgRev31163njRs3TjNmzFBISEiyXDPE/P/og88++0xbt25V8+bNVaVKFWXKlEnS7RENs2bN0qBBg1SxYkWrR+7ixYsaN26cNm/erPHjx3MLzUcUf2eTuXPnWusibNu2Tc2bN9fcuXOtXv3r16+rY8eOio2NVXBwMGt4uED850RjjIwx1qitLl26aPPmzZo+fboKFiyo77//3lplP/7+76lTp7buFpRS74awYsUKffPNN+rSpYty5syp8ePHa//+/apatapatGihTz/9VBs3bpQkPfnkk1q0aJFSp06dbEdK3ZMLLzIgCfv7vOb69eubgQMHJrgqeGfPfteuXU3dunXNmjVrEr3WpO6zzz4zRYsWNW3btjVt27Y1y5cvt/bFj374888/TcWKFY2/v781X9Fu8zETy53ttnfvXtOuXTvz+uuvJ+iRWLFihdVTEb/yql2u3iYHgwYNMsWLFzdbt241UVFRJiIiwvz000+mQoUKplatWtYcxClTppj69eubwMBAc/XqVfP555+bwoULm71797r4CJKGoUOHmooVK5pPP/3UjBkzxrz33nvWSJT434OQkBDrzh533mWC97trDB482BQvXtxs377dhIeHm5s3b5opU6aYWrVqmRo1aphLly4ZY27Pq82XL59ZunSpMcaYsWPHmkKFCtnmvT9u3DhTr149q3dtxowZxt/f32zYsOGux4aHh5uoqCjmgz8Gw4cPN35+ftadTaKiokxcXJy5cOGCqV+/vjXSLSYmxsTExJgJEyaYSpUqsR6Cixw7duye22NjY02HDh2Mv7+/tY7QkSNHzFdffWV69+5t+vfvb1atWmVOnz6dmOUmORs2bDANGjQw3bp1M0eOHDHXr183Q4YMMU2aNDFLliwxxtxehf+nn36653pjdkDQxz3FxMQkCEw///yzqVKlihkwYMA9w/6lS5dMr169UvxJ5e+GDRtmihUrZk6dOmXOnj1revToYd59912zcuVK6zGxsbHm+vXrpkePHqZmzZpWGxL0H4/du3ebdu3amTfeeMMK+6dPnzbVq1c3bdu2dXF1Kc+IESOMr6/vPYcShoeHm2rVqpk333zTCjwTJ040jRs3NvXr17dV0HlU8VNQ7myP+HPGd999Z1asWGFiYmLM1atXTYsWLUzr1q1T1C2VkqL42+LF/8ziL7bcunXL/Pzzz+b11183b7zxhnWxJigoyBQuXNg0b97cFC1aNFm/97/66iszadIk079/f7Ns2TITFRVlRo4caVq0aGHatGljfH19/3GqQsuWLVPkQmKP2969e03p0qXNxx9/bG2Lfw+GhIQYPz8/s2fPHnP58mWrvW/evGmKFStmBg0a5JKaU7IFCxYYb29v8/bbb5uuXbuab7/91uzevdvcvHnTekyPHj1M8eLFub2h+eeL11u2bDGNGjUyXbp0MUeOHDHXrl0zQ4YMMY0bNzYhISEJHmvHaSk2WWkAj8PUqVPVp08fSZKbm5tu3bpl7Tt+/LhOnz6tLVu2aP78+Tpy5IgkKVWqVIqJidGTTz6pgQMHspjT37z00kuaP3++nnnmGXl5ealNmzbKnj27Vq5cqS+++EKS5HQ6lS5dOrVo0UInTpzQjz/+KEn2GTaUSFasWKGVK1fqzJkzCd67RYoUUceOHZUjRw61a9dOf/zxh3LmzKm2bdtqw4YN2rp1qwurTlnWr1+vadOmqWPHjsqbN6+k28N5pdsL52TOnFmzZ8/WhQsXrNsFtWvXTmXKlNH169e1ePHiZDlk+XGLjIzU5s2b1bZtWxUqVEhxcXGSbp8zgoKC1KFDBy1cuFDffPONPD09Vbp0ae3bt09hYWEurjzl2rhxo2bPnq0BAwaoUKFCio6OltPpVFxcnFKlSqVSpUqpS5cukqSJEycqNjZWrVu3VseOHbV///5kO1xfkoYPH65BgwZp37592rVrl0aPHq0GDRqoVKlSeuGFF3To0CG99tpr1u0D402YMEGTJ0/WJ598kuB2m3hw165d0wsvvKA2bdrowoUL+uyzzyTd/vwRFBSkQYMG6dq1a+rfv79Kly6thg0batiwYVqyZIn69Omjxo0bu/gIUp5s2bIpV65c2rt3r3744QeNHj1ajRs3VuPGjdWxY0ctXrxYTZo0Uf78+fXRRx/p8OHDkmT9PTApZGZ2dHS0zp8/b02FnT9/viZNmmTt9/f310cffaTTp08rMDBQYWFh6tChg4oUKWIt7BnPjlOPmaMPSbdPCKtWrVKPHj3UokULde/e3do3ZcoUTZ8+XUFBQTp79qymTZsmHx8fNW7c2Pqwjn8XFxcnh8Mhh8Oh48ePKygoSOfPn9ebb76pN954w3rcJ598oj///FOzZs2Su7s7Yf8+GGN07Ngx1axZU5L03HPPyRij8uXL68UXX1SJEiX03HPPaf/+/Vq0aJF2796tKVOmWCvsv/rqq+rcuTPzDxNJhw4dFBYWptatW6tcuXIJVgGOn4+4fPlyTZgwQVOnTrXOMZcvX9aTTz7pqrKTlD///FOvv/66xowZk+A+4jNnztTEiRM1cOBA/fjjjzpz5ozefvttVapUSWXKlFG1atU0YMAA1xWegoWGhmro0KHaunWr5s6dqzx58lhr3Zj/nw8aHR2t4cOHa/v27Vq0aJH1u5Gc12gZPHiwli9fbn1ukG6vHTFgwAD9/vvv6tatm3bt2qVDhw6patWqql+/vjw9PTV27FgFBwdrwYIFKliwoIuPInkbNmyY0qZNqw8//FDXrl3TsmXLtGbNGpUuXVpp06bV9OnT1atXL7344ou6deuWtm/friNHjuinn36SMUbz58/n7kmJKDg4WH5+fvLx8dH69esVGBiokiVLqnjx4nryySe1ZcsWrVu3ThcvXtTp06f1zDPP6Pjx48qUKZNmz56tF1980dWHkGj69eunP//8U1u3bpWvr6/atm2r7du3a8GCBXr33Xf17rvvWo/dvn272rdvr1KlSql169bKnTu3xowZo0OHDikgIMC25xk+2ULS7Z6gGjVqyN3dXV27dpUxRj169NC0adMUHBysUaNGycfHRz4+PoqJidGcOXM0bdo0tW7dWnny5HF1+UnK7NmzlTVrVpUpU+auYGKM0fPPP682bdooKChIK1eulCQr7L/55pvKnTu30qRJk+h1J1cOh0N58+ZVYGCgOnTooEyZMsnHx0cnTpzQsmXLlDZtWmXIkEGFCxdWunTpFB4erm7dumnSpEnq2LGjihQpQshPBPGhJjAwUB07dtTEiRPlcDhUtmxZK9DEX5EvXLiwwsLCFBERYT2fkP+X1KlTK2vWrEqdOrWk2z0akZGROnLkiMaOHasyZcqoUqVKateunWbMmGGNaildurSLK0954kN8jhw51KdPHw0YMEANGzbU4sWLlTt3bmvBubi4OLm7u+u9997TggULtG/fPhUrVkwOhyPZhvxRo0Zp6dKlWrRokfLmzWsda65cuRQcHKwPP/xQo0aN0vjx45U+fXqtXr1a6dKl0/HjxzV37lzNnz/fth++E8vQoUMVEhKipUuXSpI8PT1Vt25dSdLy5ct18OBBBQcHq0yZMtZz4hc5DQsLk9PptG6vjP/ekCFDNGvWLK1Zs0aSVKFCBV2/fl2zZ8/W5cuX1bp1a7Vp00Zt2rTRpUuXtH//foWGhurHH3/UyZMnrb8JKUGLFi108+ZNNW/eXI0aNdL58+dVsmRJFSpUSJkyZdKcOXMUExOjNm3aSJL8/PxUqFAhHTp0SFu2bFHBggXVpEkTNW3aVCdPnrTvucY1MwaQVPzxxx9m9+7d5uzZs9acrPhbddStW9eULl3abNq0yRiTcP7L0qVLzdtvv20uXLjgkrqTori4OLN//37r1kjdu3c3o0ePNrGxsdacwzvXPjh27Jjp0aOHad26tVm4cKErS0/W7pzPuXr1apMvXz4TEhJirl+/biIiIsyvv/5qhg4daj766CPj7+9vSpQoYby9vU2rVq1cWHXKdOetmzp06GDq1KljfvjhB2t7/Dnm4MGDpnbt2iwAdYfNmzdbt1SLiYkxr776qvnkk08SPCYyMtIY81c7fvTRR6Zp06bGGNb8cKU72z4sLMx06tTJ+Pn5WT/P+LVu4uLizJYtW0zNmjXN2bNnXVHqY3Pu3Dnj7e1thg4detctd+/8LNGsWTPTqFEjY4wxo0ePNqVKlUr26xEkFYMGDTJ+fn7WAr+3bt2y3otXrlwxs2fPNvXq1TNDhw61nhN/LuZ8kfjiF6mNXxDxzt+b1atXm/r165t+/frd8/aSMTExKWoNlsGDB5uGDRtat+G804ABA8zHH39sFi5caKpXr26Cg4ONMbfXm/jkk0/MokWLrHPQ1q1bTYECBZL17Ur/F4J+CjZu3DjzxhtvmLJly5pChQqZ+fPnG2Nu/xH+9ttvTYUKFcz7779vPT4mJibBH2juM35vAwcONLVr1zb9+/c3VatWNZUqVTITJky45+Jjx44dMx07djQdO3Y0V65ccUG19nDnh5Jly5YZb29vExgYeNfCKqGhoebgwYNm4sSJhMhEMGXKFDNv3jxrFX1jEv6s4sP+2rVrE1wEGD16tGnYsCH3d/9/Bw4cMFWrVjVDhw61PpCsWrXKlC5d2sycOdN63J1tePnyZfPOO++YyZMnG2P44J7YQkJCzJw5c6zVy43562dw/vx507Fjx3uG/dGjR5sWLVrc8wNscrNt2zZTtWpVM3PmzLt+l+M/S2zfvt1UrFjRWjl80qRJKfqe34/L4MGDjb+/v7VI250riZ87d84Yc/sz3KxZs0zDhg0TLLbHHTkSX/xFmXv9vOKtWbPGNGjQwPTr18/89ttv1nY7LiD3b6KiokyzZs3MokWLjDEJj//DDz80JUuWNDVq1DAfffSRWbBggSlTpox56623TJ06dcwbb7xhvb/vPB/bGUE/hRo9erQpWbKkWbdunTlz5oz58ssvTWhoqLU/KirK6tkfMmSItf3vq/HjL/En5q+//tq0adPGfPvtt+bs2bOmY8eOplq1aqZYsWJm0qRJ5ueff07wvKNHj1p/ePHw7nxfLl++3Hh7e5vJkydbI1V43yauP/74wxQuXNiUL1/eNG3a1PTo0cMcP348wYrBxhjTrl07K+wbY8yECRNM0aJFrV4N3DZv3jzTsGFDM3z4cHP69Glz9epV07t3b1OjRg2rxyJebGysGT16tClfvnyC20rivxcXF2eOHj1qjex6//33zejRo++6Ndy5c+fuCvujR482xYoVs9V7f9u2baZSpUpm1qxZCcJ+/Pn46tWr5uWXX7Y+tOPRTZ061Xh7e5vt27cbYxJeABw/frwpV66c1bEQH/abNWtmevfu7ZJ6U7rRo0ebokWLWuH9zp/X5MmTzcCBA62vv/rqK9OgQQMzcODAFLnSflxcnDl58qTx8fGxRv3En0u6d+9uXnnlFfP777+bVatWmVq1aplevXqZHTt2mB49ephhw4ZZoyRS0sUsJqamQMePH9fPP/+ssWPHqkSJEpKkWrVqSZKOHj2q9OnTy83NTa+++qri4uLUrVs3OZ1OdevWzZYrUj6q8+fPK3v27NY87/Lly2vKlClauXKlqlatqvHjx+vQoUNq1qyZpk6dqtSpU+uVV15R5cqVVbp0adY4eEwcDoc1H7Z27dqSpB49ekiSWrZsyboHiSxXrlyqXbu2fvjhBzVt2lTjxo1Tq1atVLBgQXXq1EleXl5Knz69Jk6cqA4dOmjKlClavny5fvrpJ82dO1f58uVz9SEkCbdu3VLq1KnVuHFjOZ1OLV68WMYYvffee2rXrp2CgoI0efJkbdmyRRUrVlR4eLhOnz6tDRs2KCgoiEW0EpnD4VCePHn0/vvv69ixY0qdOrU2bNigRYsW6e2335a/v79efvllZc+eXQMHDlSvXr3UpEkTvfLKK/ryyy8VEhJiq/e+n5+fhg8frm7dukmSXn/9dWXKlEkOh0OxsbG6evWqXnrpJf4OPkYXL16Ut7e3jh07pjx58ihTpkySpKCgIC1YsECDBg1S+vTpFRcXZ83Zj46O1qZNmxQWFqasWbO6+AhSjoiICC1ZskS+vr564oknZIyx1qwJCgrS9OnTNWrUKOvx1atXl9Pp1KhRo5Q6dWrlzZs3wYK2dudwOOTl5aWsWbNq+/btKlSokBwOh27evKnKlSurU6dOypkzp/Lmzat9+/bpm2++0SeffKLBgwdbi1vHrxeUYrj4QgNcYOfOnaZ8+fLWHMDY2Fize/duM2DAAOPr62v8/f1Nw4YNzebNm40xt3uovb29zejRo11ZdpK0ePFi07RpU7Nr164E2zdv3mx8fHzMl19+aYy5faWxSpUq5osvvjDjxo0zJUqUMNWqVTNhYWGuKNvW/t6zX7BgQTNmzJi7epLx34kfSnfy5ElTu3ZtExISYiIjI82wYcNMnTp1TOHChc1HH31kVq1aZT3nww8/NIUKFUqRvRT38k89DnPnzjV169Y1Q4cONeHh4SYyMtJs2LDBNG/e3DRp0sQ0a9bMjB071tZzDpOD5cuXm2bNmpmNGzea06dPm969e5uyZcsaX19fM2LECGvtm8jISPPhhx+aggUL2npe+p09+3eObhg7dqx5/fXXGdX2GEyfPt3s2LHDGGPMkCFDTMOGDc2sWbOMMcbMmDHD+Pv7mw0bNtz1vPPnz5vY2Fhz6dKlRK0Xt+3Zs8dUr17ddOnSxfz+++/GGGOCgoKMv79/ghGgd3622bRpU4ocrRUXF2du3Lhh2rRpYz744IMEU4j/PmqzY8eOpn379oldYpLD7fVSoHPnzqljx46qXr26ateuralTp+qbb75ReHi4qlWrppw5c+rcuXM6ceKEJk6cqIwZM+rHH39U7ty5uZ3e35w+fVoffPCBnnnmGb3//vvWfYDPnz+vXr16KXPmzLp8+bL27t2rKVOmWPdBjoqKUkREhJ566ilXlp+sLF26VEWLFr2v96D5/559SVq8eLFGjBihb775xurZwH/PGKMbN25o4MCBOn36tKZPn67UqVMrJiZGVapUUWRkpC5fvqxy5cqpfPnyat68ucLDw5UlSxZXl+5yU6ZM0fr161WgQAFVrFhRWbNmTdDLu2LFCs2cOVNlypRRo0aNrF77FNdTkQTFrywvSc2aNZMxxrpP8++//67mzZvrypUrypw5s4oVK6ZGjRopW7ZsypYtm+1XN9++fbu6deumli1bqlGjRpo6daqCgoK0cOFCW41icIU///xTVapUSbCC/pAhQ7R//355enpqx44d+vzzz+Xn55fg7+OECRO0c+dOBQYG6oknnnDlIaQo165d0xNPPKFbt27J3d1de/bsUdeuXVWyZEmlTZtWK1as0NixY1WqVKkEz5s2bZocDodatWrlosqThj179qhJkyZ699131blzZ2t7/Hs7PDxc7du3V/Xq1dWyZUvXFZoUuPAiA1zk+vXrZujQoaZy5crG29vbFCxY0DRo0MDs2bPHWrU5/goji+L8s/g5+aGhoaZOnTqmbdu2CXr24+eJly1b1pw6dcrantIWTnlUsbGxJjY21pQqVcq8+eab991TGRcXl2AeKP5b+/fvN/v27TN//vlngu0HDx403t7e1hzcbt26mQoVKpi1a9eaL774wtSsWdNUqlQp2a8y/rjcuHHDjBw50vj4+Bhvb29rBETDhg1N586dzbfffmsuXbpkpk+fbpo1a2ZGjBhxV88O61EkrpMnT1o9cXfatm2bKVOmjFmyZIkxxpiAgABTtWpVs27dOjN69GhTqVIlU6FChRQ1smvbtm2mWrVqpmnTpgnm2eLRnD592hQtWtRs3bo1wfbhw4ebUqVKmT59+ty1ov748eNN/vz5rYUQkTimTJli2rRpY5o2bWomTJhgzpw5Y4wxZvfu3ebVV1813t7eCe7EFP/zGjdunPH29rbuopDSLVy40BQoUMAMHDjQHDt2zNp+/vx506ZNG1OnTh0+bxt69FOEyMhIeXh4SPrrateVK1d08uRJHTx4UPny5VPu3LmVPn16RUdHy93dXSdOnFDXrl01bNgwPf/88y4+gqQrvvcmNDRU7dq1k5eXl95//30VLVpUktSpUyf9+eefmjVrVrK9F7KrnThxQrly5VJ0dLTq1asnd3d3jRw58r7el/Hvd3NHDwYev7Fjx2r16tUKDQ1VwYIFVaNGjQRX0QcMGKC9e/cqffr0OnTokKZNm6YCBQpIkq5cuaKYmBjb92Y+iPPnz+vLL7/UggULVKFCBb3xxhv67rvv9PPPP+vSpUu6ePGiihUrpl9++UU5c+ZUuXLlrPMPEteECRP0xRdf6Ny5c/L29lbnzp1VsmRJORwORURE6MMPP1SWLFkUFRWlPXv2aNKkSdbIL+mvNV5Skq1bt+rjjz9WcHAwPfmPyY0bN1SjRg0NHDhQ5cuXt9b2kKRhw4Zp165dql69uurVqydPT0+NHTtWwcHBWrBggX3vH54EDRkyRCtWrFC3bt20e/duhYaGKlu2bOrZs6c8PT3122+/qVOnTnr55ZfVsmVLeXt7S5LGjRun4OBgzZs3zxoZmtLFxcXpq6++Ur9+/fTUU0/Jy8tLMTExkqTo6GjNmjVLqVOnTjDKKiUi6NtcUFCQfv/9dzVo0MBaeO9e/v6LMHz4cP3yyy+aPn26MmbMmAiVJg8LFixQxowZ9fTTT+ull15KsMDbn3/+qU6dOilLlixq3769ihYtqoULF2rChAl3fbjD/Vm3bp2GDx+uLl266JVXXlF0dLTefPNNpUuXLkHYvzPIX758WW5ubvL09HRl6SnG4MGDtXLlSvXv319ubm769ttvdfz4cfXp08d6z//www/q1KmTsmfPrunTpyt37tySbv+hdjqdLqw+ablz6P25c+e0YsUKzZs3T927d9drr71mbd+7d69OnjyptWvX6sSJE4qLi9OXX37JtIdENnjwYH3xxRfq3LmznnzySc2YMUNXrlzRkiVLlC5dOknSxo0b1apVK2XKlEmLFi2yplmk9Pd+VFQUC6Q+ouPHjytXrlxyOp2KiorSK6+8ok8//VSvvvqqJCUI+0OGDNHu3btVt25dHT9+XHPnziU0JrL4v5XBwcFWuy9dulQLFizQzJkzrakT8cP4ixQpok6dOmnFihWaOnUqP69/cOrUKW3cuFGHDh1S1qxZ5e3trcqVK8vNzY3pbCLo21pkZKRatGihw4cP69atW6pRo4ZKlSqlevXqJXjc5s2btW3bNr3wwgtKnTq1Nm/erC+++EJz5sxR/vz5XVR90nP48GE1a9ZMly9fliSVLFlS7u7uqlKlivLkySM/Pz9du3ZNb7/9tp555hm1bdtWBQoUUKVKlVSsWDGNHj3axUeQ/OzZs0dz587VqVOn9N5776ly5cr/GPal271jffr0kYeHh0aOHJmir+ImhsGDB2vZsmUJVgo/evSo6tevr08//VR169a1Htu7d2+tW7dOX3/9NRdh/mbz5s0qXLjwXe1y7tw5LVmyRIsWLVKbNm3UtGnTu5578+ZNXb9+nZCfyO713o+IiFC5cuU0bNgw1axZU8YYXb9+XZ9++qnOnj2rwMBAfk54LE6ePKlq1app/PjxqlixoowxqlKligICAqyLgn83dOhQrVixQlFRUZozZw6hMREtXLhQffv21fr16+Xl5aXr16/riSeeUHR0tDXS4vLly6pWrZr8/Py0f/9+de3aVZGRkbp06RI/r4eQ0nvy46Xcy8kpQNq0aVWjRg2VLl1ao0ePVkREhEaOHKl69eppxYoVOnfunKTbt8HasmWLBg8erBEjRujkyZOaO3cuIf9vcufOrYCAAJUoUUI5c+ZU4cKF5eHhoeDgYDVv3lxVqlTRoEGDVKhQIa1bt07Tpk3Tnj17FBAQoI4dO7q6/GRl2bJl2rt3r4oUKaKWLVsqd+7cCgoK0g8//CB3d3etXLlSN27c0CeffKITJ05I0v+1d+dxNeX/A8dfbWhRlsjSyDYVkqEsIcuMnezZxr6NfcmMfSRkJ0tF+4JJRYWJTEjWwWAGE8JYxi7bKLSe3x9+ndEs3+/Md0a39H4+HvN4TOfeuu9zu07n/Vneb1JSUli+fDknTpxg2LBhcoF/x1auXElMTAwxMTFYW1uTmZkJQI0aNbCzs1NnNHNycgDo3LkzxYsX5+uvv9ZYzAXRtm3bGDZsGL179yYyMpLz58+rj5mZmdGrVy/69u2rtsbKlZGRAby5zkvymL/WrFnD1q1bf/fZ19PTo3bt2pQrV059rpGREY0bN+by5cvqtUqIf6pKlSr4+Pgwa9YsEhISKF68OAYGBsyZM4cRI0YwZ84cwsPDuXTpEjdu3ADetJsdO3Ys27Ztk6QxH+Xk5FCuXDkMDQ3x8/MDUGfvAwMDefjwIadPn+bMmTMMGjSIr7/+mjp16rB06VLKlStHWFiY/L7+i7fnrHP/X+4B35AZ/fdU7lLm3BHCkSNHMnLkSA4fPkxAQADJyckYGxvz2Wef0apVK8qUKUNKSgqKomBgYCDVV9/y6NEjMjIyqFy5srpEdvfu3ZiamuLu7o6iKHz77bf8/PPP7NmzB3gzQwdvep4uWbJErZEg/rtjx44xfPhw7Ozs+PLLL7G2tiYpKYnNmzfz008/MXr06Dwz+4aGhsyaNYuwsDD27dtHWFiYDFK9YykpKYwYMYL09HTi4uKAX0fPw8LCWLBgAQsXLsTGxgZ9fX0sLCwA6NmzJxUqVGD9+vXyR/j/3bp1i88//5yXL19ibGzM7du36dGjB23btlVv7h49ekRERAQRERGMHz+ePn36aDjqois5OZkJEybw4Ycf4u7unmdr29atW1m4cCF+fn5UqlSJsmXLqrVZ+vXrh6GhIQEBAVIzRPxrEhMTmTx5MuvXrycgIICsrCxq1arF0aNH+eWXX3jy5AmlSpWiVKlSfPLJJ0ybNk3TIRdJOTk5HDlyhKlTp9KpUycWLlxIQEAAPj4+rFixgsaNG1OiRAnmzJnDkSNH2LlzJyYmJmrdLCH+V5Lov8dy92eFh4ezceNGli5dqu7Tb9++Pffv3yc9PR0LCwvs7e2ZPHlykSsK9N9s2LCB+Ph4bt68SZs2bRg0aBB16tQhJiaGbdu28cEHHzB37lx1ya2iKGRnZ5OUlMTt27extramevXqGj6LwuXnn3+mf//+pKSkYGtry4IFC/5jsu/s7Mzly5cxMjKS7Sb5RFEUkpOTmTx5MsbGxkRERACwceNGvL29KV68ODVq1OD777+nRIkS1KtXj5o1a2JjY4Otra206fx/iqKQmpqKh4cHhoaGNG3alPPnz+Pt7Y2pqSm1a9dm8uTJVKpUCR0dHfz9/fHz82POnDn07t1b0+EXWZGRkcTFxVGxYkXGjh1L5cqV8fX1Zf369RgYGFCxYkUuXbpEpUqVsLa2pmbNmujr69OlSxd1j74Q/5bExETGjh2LtrY2S5YswcnJCYBnz55x9uxZbt26xfHjx5k6dapa3E3kj7eXjyuKwqFDh5gyZQrm5uY8fvwYDw+PPPWzvvrqKyIjI9m0aZNscRP/Ckn03yOnTp0iIyOD4sWLY29vrx5PTk5mypQpdOzYkYkTJzJ79mwOHTpEaGgoP//8M/Hx8Rw7dozQ0FDMzc01eAYFS26hpdx+pSEhIdja2uLt7U1mZiZff/010dHRmJmZMX/+fAwNDWVP0D+UO9MVHx/P7t27+f777ylWrBhr167902Q/MzOTMWPG8Pnnn0uS/46dO3eOjIwMtLW1adCgAdeuXWPs2LGYmZnRsmVLAgICWLJkCXXq1MHExIQTJ05w69YtEhISuHXrFv7+/lSpUkXTp1Hg7Nu3DxcXF7y9vWnevDn37t1j+/bteHp6qsnimDFj0NfX59tvv6VFixbqKgmRP65du8bTp0+xtLTE2NiY2NhYIiIisLa2RkdHh+joaObPn89HH31Eamoqt2/f5vTp0xw+fJiXL1+yYcMGGfQV78yJEycYMmQIQ4YMYfr06XIfomGBgYF06NCBSpUq5TmuKAqHDx9m0aJFVK5cmaCgIODXibklS5Zw9epVddBQiH8sP3r4iXdv1apVSrNmzZTGjRsrNjY2ypo1a/I87uPjo9SvX18ZOnSo4ujoqJw7d059LCMjQ3n58mV+h1ygubu7K3Z2dnn6lZ48eVKxsrJS+9RmZGQoUVFRyqBBg5Tp06craWlpiqIo0rfzf/T2+3bx4kXF1dVV+f7775XRo0crrVu3Vi5evKgoypt+7bNmzVIGDBigxMXFaSrcImfFihVKu3btFAcHB6VRo0bKihUrFEVRlCtXrig9e/ZUrKyslGPHjimK8vt/A69evVJevXqV7zEXJl988YXSqVMn5fHjx4qiKMrkyZOV9u3bKzNnzlS6dOmiWFlZKTNnzlRevHih4UiLHg8PD6Vr166Kra2t0rlzZyU0NFRRFEXZvn270q9fP6VOnTpKVFTUn37/s2fP8itUUYQdOXJE+eijj5T4+PjfXYNze7GLd8/d3V2xtbVVrl+//oePZ2RkKAcPHlTq16+vzJ49Wz2+evVqpV69euq9jhD/Bkn03wPu7u6Kvb29cuzYMeX06dPKli1bFCsrKyU2NlZ9zr1795Ru3bopzZo1U86ePau5YAuB5cuXK/b29sqNGzcURVGU9PR0JScnR3n06JHSu3fvPBfh9PR0Zdu2bcrQoUOVcePGqcm++OuOHj36hzchy5YtUwYOHKgoiqIMHz5c+fjjj9X3PikpSZk0aZIyfPhwJTU1VW5i3jF3d3elYcOGyg8//KB8//33SlBQkNKwYUP1GpOUlKR0795d6du3r/o96enpmgq3UPrmm2+Udu3aKQcPHlSmTZumODg4KFevXlUURVGePHmixMbGql+L/OPu7q40atRIOXz4sPLDDz8oLi4uSpcuXdTfRVRUlDJw4EDF1dVV+fnnnxVF+XWgSwZ9RX47ePCgYmdnp8TGxirZ2dmaDqfIWbFihWJvb69cu3btPz4vJydHOXjwoNKgQQNl4cKFSkBAgFK3bl3l/Pnz+RSpKCok0S/kcm/Ak5KS1GPPnj1TevXqpXh6euZ57tKlS5UmTZood+7cURRFkT8Cf+DcuXNKs2bNlKlTp6rHct+nzZs3K/b29sq5c+eU58+fK6mpqYqivLlgb9u2Tfnss8+U+/fvayTuwiowMFCxsrJSBg4cqMTGxio3b97M8/jYsWPVmbL+/fsrbdq0UVdZXLx4UXnw4EG+x1zUuLu7K40bN1Z+/PFH9dj9+/eVbt26KevXr1ePXbp0SenYsaPi7OysHpNE5/f+03V38ODBipWVlfLJJ58oycnJ+RiV+CNLly5V7O3t8wzu/vLLL4qdnZ2yceNG9VhERIQydOhQ5csvv1Ru376tKIrMoArNiY+PV5o3b67eo4j8sW7dOsXKykrx8fFRj/2n60BOTo6SmJio2NjYKFZWVpLki3dC2usVYrktfkJCQqhVqxbp6ekAmJiYUK5cud8V8pg4cSI6Ojps3LgRAG1t+fX/VrVq1Rg5ciSPHj1i0aJFwJv3ydfXF3d3d1JTU3Fzc6Np06b069eP5cuXs3XrVtq3b8/KlSsxMzPT8BkUHllZWejr62NoaMipU6c4fvw4n3/+OXv27FFbh3388cccPXoUeFOkpkKFCgwcOJDk5GSsra2leOQ7FhYWRmhoKGvXrqV27drqNcbMzAx9fX3S0tLUVjZWVlZ4eHjw+vVrOnToAEh7m1wbN27Ex8cHeHM9yW05mCs7OxuASZMmYW5uTseOHfnwww/zPU7xqzVr1hAUFERwcDDW1tZkZWWRnZ1NyZIlqV69Ojo6OmRlZQHg7OxMp06duHv3LqtXr+bevXtSVV9oTJs2bYiLi5PuSfloyZIlBAYG0rBhQ86ePcvu3bsB0NLSytP67W1aWlo0a9YMX19f4uPjpYWeeCck0yukMjIyOHLkCDVr1kRRFLUIH8CWLVtISEjg6dOnxMfHc/nyZW7fvo2BgQFt27bl3r17pKamavgMCp7s7GyMjIzo3bs3bdu25cKFC6xbtw5fX18CAwNZtmwZ0dHRuLq6Mm3aNGxtbdm1axdr1qzhl19+kQqpf5Ouri7dunXjyy+/RF9fn1evXjFw4EDmzJmDq6sru3fvplevXly9elXtPbtp0ybq16+vftbFu5WWlsZHH33EsWPHePjwofq+e3t7c/HiRQYMGJDnRsbKyoqlS5eqbeLEG3p6enh4eBASEgL8PtnPHRCpVq0a5ubmJCUlobxZcaeReMWvfa5v3rzJ69ev0dXVVQfKk5OT6dKlC7q6uurv0dnZmdatW5Oeno6urq4mQxdCkvx8tGjRIkJDQ4mNjcXPzw9dXV22b9/+l5J9HR0dHBwcpBuHeGek6n4hpPx/ZfLnz58zbtw4dHV1mThxIvb29vj7++Pp6UmVKlUwMDDg8uXLpKenY2ZmRt26dSldujQjR46Ui8pbXr58qVY3zX1vU1NTiYqKIjo6mosXLxIQEECzZs1+970pKSloa2tTpkyZ/A67UMvKylJvhtPT09mxYweurq4sXboUBwcHgoKC2LdvH/b29lSvXp3Dhw+zcOFCqTSuAcHBwRw4cIDatWszc+ZMQkJC8PLyYu3atTg4OPxhpwnp/ftGeHg4LVq0wMzMjIiICNzc3JgxYwZDhw4F3vRW/u3KqpMnTzJ48GC8vb35+OOPNRC1yLVx40bWrVvHokWL6NmzJ35+fvj7+7NmzZo8n/23f48vXrygZMmSGo5cCJFfDh06RPny5bG2tgbe3BcuWLCAtLQ0evXqRadOnYBf7y+FyE+S6BdSua04nj9/zpgxYzAxMaF8+fLs3bsXLy8vateujYGBASkpKZw8eZLLly9z+PBhVq9eTdWqVTUdfoHh6+vL5cuX6d27Nw4ODnkeS01NJTo6mh07dtCwYUNmzJgB/JrEyEX779u3bx8NGzbEyMgoT3KYnp7Otm3bWLhwIYsWLaJ3797cvn0bV1dXnj59SlJSEitXrqRLly4ajL5oeTt5CQ4O5tChQ7x8+ZIrV67g5+dHgwYNNBxhwbZo0SJiY2OJjIzE3NyczMxMIiMjWbhwYZ5k/+2BkgcPHnDu3DnOnj1Lnz595FqtIW9/9jds2ICXlxctW7bkzJkzrF69GgcHh99d/+XvgRBFT+69OKCuwtLW1pZkXxQYkugXIo8fP6Zs2bLq17kXmGfPnjFx4kROnTrFjBkzGDZs2B9+v/R4z+vVq1cMGzaMS5cukZmZSYcOHWjSpAnOzs7qc3755Reio6PZs2cPtra2zJ49G/jjmTjxn+3evRsXFxcsLS1p164dDRs2pHHjxurjr1+/Zvv27WoilPs5Pnr0KHv37mXIkCHUqFFDU+EXSW9/zkNDQ4mIiKBq1aosW7YMQ0ND+XfwJxYvXkx0dDSbNm3C2tpavbnLyMhg27ZtLFiwgJkzZ6rJvqIoPHr0iGXLlvHtt9+ybds2KlasqNmTKOLe/mwHBASwYsUKBg8erP4NEEIUXRERESQnJ3PhwgXatGmDk5OTWqMp99ohyb4oCOQOrZDYtGkTLVq0YNWqVcTHxwOoo4ilSpXC29sbOzs7jhw5wnfffafuB3p7H6jckOdVokQJNblfs2YNz58/x8PDgx49ehAdHc2dO3cwNjamV69edOnShfPnzzN37lxA3sv/RcOGDbG2tiY7O5urV68yZswY5s2bR0JCAvDm99G/f3/mzp3LsmXLCAwMBKBZs2bMnz9fknwNeHsv+eDBg+nduzepqamsW7eOp0+f/mFhuaJu8eLFREVFqUl+VlaWelOnp6fHgAEDmDdvHsuWLSM4OBhATfL379+Pn5+fJPn56M/mOt7+bI8YMQIXFxe2bNnC9u3b1SJ8QoiiZ9myZaxfvx49PT1MTU05d+4cJUqUAFBn9LOysjA1NWXevHkYGhqyY8cOYmJiACTJF/lKKsYUEk+fPiU7O5tnz54xb948du3aRadOndTq1iVLlsTT05OxY8fi6enJhAkTsLOzy5OQysUlLy0tLXr16oWPjw8fffQR/v7+HDlyhICAAJYvX07JkiUZPXo0jRs3ZuDAgWRkZHD8+HFSUlIwNTXVdPiFxs2bN6lQoQKmpqZ06tSJq1ev0qNHD1q1asXKlStJTExk06ZNjB49GisrKwYOHIiOjg5ubm7o6ekxaNAgGVh5xyIjI7l8+TIvX75k6NChVK1aVd1jn5vwaGtrqzPQCQkJ+Pr6MmrUKKlP8ZYlS5awY8cOIiMjqVatWp5aFJGRkZQuXZo2bdrQu3dvABYuXEhqaiopKSns37+fsLAwatWqpclTKHIePnyYp1vK2zP5b3/2R48eTXZ2NvPmzUNbW5suXbqog+1CiKJh+/btfP311/j6+qrX6tTUVLUYc+59tq6uLpmZmZiamuLq6soXX3zBgQMHaNOmjRRuFvlKlu4XcLlLfNLT0+nduzd2dnZ0796d+fPn8+jRIypWrMiYMWOwtLSkSpUqPHv2jEmTJvHixQvmzZtH/fr1NX0KBUpwcDA1a9akefPm6taHyMhIvL29Wbx4sbpPv0OHDty/f5/Xr19TpUoVmjdvzoABAyhXrhwmJiYaPovCY968eSQnJxMYGIiBgQHHjx/HxcWFGTNm0L17dx48eMDRo0eZPXs2ZmZmlC1blkmTJlGpUiWuXr2KlZWVzOS/Y0uXLiU6OppatWrx008/kZOTw+rVq2nUqFGeJYZvJ0AhISHs2LEDR0dHJk+eLAMxQHJyMhMmTMDKyor169cDv75nvr6+rF27lk2bNqm1DTIzM4mOjmbevHkAREVFUbt2bY3FXxT5+vqyevVqXFxcqFOnTp6Cq3/22c/9nuXLl9O1a1eNxC2E0IzVq1dTrFgxJkyYoB5LTU1l9+7dnD17ltKlS+Po6KjeS+ZumX3y5AkZGRlUqFBBU6GLIkpm9Au43H2dxYsXp1evXsTFxVG+fHmCgoLUvZyTJ0+mevXqDBw4kB49euDj48Pnn38uPcZ/4/bt2yxdulRdLps7G1O/fn0MDAw4ceIEDg4OzJo1S626f+fOHeLj40lISGDkyJGS5P8N7u7u7N27Fz8/P7WrgYODA507d2b58uU4OjpiZmbGkSNH+OCDD2jTpg0//vgjY8aMoWXLlqxatUpGvt+x3GXmmzdvpkaNGujp6fHpp5/i4eFBWFhYnlVAb89uDhkyBF1dXVq1aiVJPjB37lx++uknRo4cSVBQEPPnz2f+/Ploa2uzceNGgoKC8PX1pUGDBmoCqaenR58+fShWrBi2trZUr15d06dR5Lx+/RqAPXv2cODAAUJDQxk/fjxVq1bF2NhY/V1paWnlmdnX09OjTp06Go5eCJHf7t69y4sXL9SvIyMj2blzJ6dOnaJ06dKUKVOGvXv3Mm/ePFq2bKl25ZCVb0JTZEa/gNq9eze6urq0a9dOPXbx4kVGjhxJ3759mTRpEgBTpkzhzJkzWFhYqBeacePGMWjQIE2FXmDdvXuXzp074+vrS8OGDfM8FhAQgKenJ/Xq1eOnn37Cy8uLunXrAm9m3rKystDX19dE2IWSt7c369atY//+/VSuXJnMzEx0dXXR0tLihx9+YM6cOXz66aecOnWKb7/9ltDQUGrWrEl2djZHjhzBwsJCKo6/Y7nLzIOCgqhVq5baTWLLli3s2bOHoKCgP1yaLAX48nJ3d2fnzp2EhIRgaWnJrl278Pb2pn379pQtWxZvb2+WL19Oy5Yt83zfxo0bad26NVZWVhqKvOjKTeAfPHjAypUrKVOmDHXq1MHf358HDx5gbW3N6NGjqV27NqVLl1a/7+2tGEKIoiE+Pp4PP/yQqlWrsmfPHoKDgzEyMuLZs2dcunRJXYnYuHFjdHV18ff3p2TJkkyZMkXToQshM/oF0cOHD4mOjkZRFIoVK0arVq0AqFWrFoMHDyYgIIC+ffvi5eXF6dOnCQgIoEaNGpw5c4Zdu3bRtGlTzZ5AAVWqVCmMjY159eoV8GsRJi0tLbp06UJsbCxXr17F09NTTfLhzcy/7MX863JXTZiamhITE8P48ePR09NTb5Lr1atH9erVcXNzw8LCQk3yAXR0dH6XEIl/X3R0NCEhIaxduzZPkg9vrj8GBgZ/WKQst9CQeMPb25tNmzapA1oAbdq0QVEUNm7cyI0bN9iyZQt2dnZ52jB5enri6ekpn3UNyV2pUqpUKQwMDLh06RKTJk3CycmJkJAQDh06xIgRI3B0dKRly5Z8+umn5OTkSJIvRBGzYMECvv76a3bt2gWAo6Mjjx49IjExkWLFijFq1CgGDhyYp26ToigkJydrKmQh8pA7tgKofPnyTJw4ERMTE8LCwtSq5AAtWrSgcuXKdO3alSNHjuDl5YWlpSXa2to0bNgQV1dX2dP8luvXr6uVk3V0dMjOzlYTfS0tLTWZMTMzo0mTJmRlZVGuXDkAqSb+P1i6dCnh4eFs3ryZ6dOnEx0dzerVq4E3xWkyMjIAmDZtGhYWFjRq1EhN8kX+0dPTo1GjRhw9epRLly6pSX5wcDA+Pj5cu3YNV1dX3Nzc2LRpEw8fPuTBgwdS0PMtS5cuZd26deqAVi5DQ0Patm3LmDFjqFq1KnFxccCvW4XWrVuHj48P27dvl8J7Gla8eHHGjx/PuXPn8Pb2RktLi6FDh6Kjo0OZMmV4/Pgxy5cvp02bNmzatEnT4Qoh8tHixYuJjY0lJCQEMzMzsrKyMDIyYvDgwfj6+hIWFsaUKVPUJD8rKwtFUcjOzpaVWqLAkES/gMlNPG1tbRk8eDAGBgaEh4eTmJgIvJnVb9iwIc+fP2fFihXY2tqSk5Oj3oDr6OhoLPaC5tatW3Ts2JF9+/apCaaWlhbZ2dnqc96enZw0aRLFixfH29v7d4+J/+7JkyfcuHGDsLAw7O3tadGiBaNGjWL37t1qsl+sWDGys7MpU6YM9evXJzk5mWfPnmk28CIk9/rSpUsX+vXrx507dwgKCuLZs2eEhobi7e3NiBEj6NGjB4qicPjwYdauXUvLli0ZN24cr1+//tN2ZEXJfxrQgrzJ/qFDh1iwYAEAGzZswN/fn7CwMNnjnc++/vpr1q5di5+fHz/99JN6vHz58owYMYLDhw/z888/M2fOHC5evEh4eLhaX8HS0pIWLVpoMHohRH7KrV8TEhJCrVq1frdtJ/f+MCkpiZs3bwJvivKtWbOGPXv20KVLF43ELcRvyR79AuLti4iiKOoS2bt37zJu3DhMTEwYPHgwn3zyCc+ePaN79+60bt0aV1dXDUdesCUmJuLi4sLixYtp37497du35+HDhzRo0IAKFSpga2tLvXr10NfXx8LCAjc3N+7cucPq1aulENz/IHcJeO4+7l9++YU9e/bg5+dHp06dcHFxUZ977tw5+vTpg4eHBx07dtRg1EXL20vIY2NjiYmJ4fHjx1y/fp3Q0NA821ZSU1N5/vw5Bw8epGnTplSrVk1TYRcYT548Yfbs2UyZMgVra2uePXumFp387Wc8LS2N+Ph4/P39efXqFSkpKWzZsgUbGxsNnkHRs2zZMrZv346FhQVJSUnUrl2bWbNmqR0QvvvuOyZMmICenh4lSpRg1apV2NraajhqIYQmeHh4EBoaSkxMDBYWFnn+Zvr6+mJnZ4ednR0ZGRm4urpy+fJlXrx4QeXKlbl16xaenp7SQUUUGLLhrADYsmWLWvlaX1+fnJwcdWZ+37593Lhxg7p16xIZGYmWlhYff/wxHTt2JDExkQcPHuTpASzyatmyJatXr2by5MkYGBhQsWJFypUrR/Xq1Tl69CiJiYk8efIEExMTqlatSokSJViwYIEk+f+jt3uvAxgbG6tJvJ+fH4CaCNnY2DBkyBAsLS01EGnRsm/fPoyNjWnUqFGeehOdO3dGW1ub0NBQ6tevj7GxMYC6/NDIyAgjIyM+/fRTTYVe4JQpU4Z169apA1qlSpX608947sx+ZmYm4eHheHp6ynL9fLZ48WKio6PVopMvXrygZ8+exMTEqIm+vb09/fr1Y+PGjfj6+v4uyX+71Z4Q4v118eJF/P396d+/P5UqVQJ+3Xbl7++Ph4cH/v7+wJv7nS+++IK9e/dy9+5datasib29vVqvRYiCQGb0C4CbN28yZMgQatSowdq1a9Uk08fHh8DAQDZu3Ii+vj4+Pj6kpaUxZswYSpcuzZAhQ4iMjJRE/y9ITExk7NixaGtrs2TJEpycnAB49uwZZ8+e5ebNmxw7dowZM2ZIjYN34O2Z/S5duqjVaN8uAifejTNnzjBgwAAqV65MtWrVmDp1KhUrVszT7ic2Npbo6GjKli3LqFGjpG7C/+A/rV5JS0tDURQZQMxnixcvZufOnQQEBFCnTh3S09MpXrw4a9as4ezZswQEBKClpYWOjg6nT59m7ty5dOzYkUmTJklyL0QRs3fvXtq2bYu/vz8JCQm0atWKvn37UqpUKXx9fQkICMDDw0MteJ2dnS3bZUWBJ5uQCwALCws2b97MzZs3mThxIvCm3VtgYCArV66kfv36WFtbM2zYMEqWLMny5ct58uQJe/fulST/L2rZsiVBQUFkZWVx4cIFdZ9+qVKlaN26NUOHDsXX11eS/Hckd2b/s88+Y8uWLXh6egJIkp8PTExMsLW1pXXr1mhrazNy5EgmTpzIgQMHePLkCfBmZr9bt26kpKQQEBDA5cuXNRx14ZP7Gc+tS7FmzRr1MUNDQ0ny81lkZCShoaH4+PjkSfLhzZYUMzMzNckHsLOzo27dukRHRwNIki9EEXLt2jVWrVrFli1bGD16NA4ODuzfv5+4uDjWrFmj3o+/3dVKR0eHyMhI9u3bByD1a0SBJIm+BuVWdc/JycHc3Jzg4GBu3rxJ8+bN8fPzY82aNTg6OuYp0Ddo0CCqV69OpUqVpK/739S4cWMCAgKIiIggISEhT1E+kIv0u2ZsbEy7du2YPXu2uqJCvDvHjx8HoEaNGjg6OrJ37168vLyYN28eJUqUYOLEibi4uBASEgKAk5MTQ4YM4cqVK4SFhakFLMVf99sBLS8vL02HVCTlbj2pV68eMTExpKamqkl+SEgImzdv5tatWyxZsgQ/Pz/i4+PJzs5m+PDhlCpVigcPHmj4DIQQ+cnc3JzmzZuzb98+Xrx4waRJk2jcuDEhISEEBQXh6uqKo6Njnm5MHh4eLFy4kOrVqwMyOCgKJlm6rwGRkZFYWVlhaWlJiRIlgF+XAN2+fRsXFxdevnzJjh071NmGt5cRvj0zIf6+xMREpk2bxoIFC+jQoYNU189nsiT23XN3d+fQoUNs2bIFU1NT0tLSGDBgAE2aNGHatGkUK1aM48ePM2zYMACsra1xcnLCycmJy5cvU6NGDXV/ovj7nj9/zoEDB2jQoAEWFhaaDqdIOXbsGA0bNgTeVNrfvn07H3zwAUuWLCEkJARPT0+6du2KlpYWV65c4erVqzx+/BgDAwPq16/PqlWrKFWqlGZPQgiR7168eIGTkxMtWrTI0yklLi6O7t27061bN3XL29q1awkMDGTz5s15CtgKUdBIop/Pvv32W4YOHYqxsTFOTk58+OGH9OvXL89zbt++zZAhQ/jggw/YsGGDOnMvCdK/Z9++fbi5uREXF4ehoaGmwxHiX7Ns2TIiIyPZvHkz1tbWwJtVQ6tXr2b//v0EBwdjZmbG/PnzOXToEBMmTGDnzp2cPXuWChUqsHPnThlI/BfI9Tp/KYrC7du3adu2LQMHDmTWrFnk5OSwc+dOYmJi+OWXX7h79y4BAQF5iu09evSIe/fucejQITp27Cjbt4QoIqKjo9HW1qZbt27qsZMnTzJz5kwmT56sHvfw8OD48eO0bduWwYMHExQUhLe3N1999ZV0UBEFniT6GjBx4kRu3LhBvXr1iI+Pp3r16nTt2pVOnTphYmICvEn2Bw8eTLVq1Vi/fj0GBgYajvr9k5aWJkm+eK94e3uzbt06AgMD1b2Eua0Onz59SufOnenVq5c64+zr66u2Afrhhx8wNTWVisGiUDt06BDjx4+nf//+zJgxg5ycHHbt2sWmTZswMTEhKCgILS0ttWVW7r8PIUTRcf78eZydnSlTpgx169Zl0aJFlC5dGm1tbTw8PEhJSWHcuHF88MEHAKxZs4ZTp06RnZ3Njz/+SFhYmCT5olCQv275KDMzE4AWLVpQtWpV2rVrh7+/P9nZ2fj6+tKjRw+ioqJISkrC3NycTZs2kZSUhIuLi+wffwckyRfvE3d3d9avX4+JiQkXL15U9xlra2uTlZVF6dKlGT58OH5+fhw+fBh/f39q166t1qqoV6+eJPmiUMvJyaFFixZ4enqyefNmlixZgqIodO3alUGDBpGdnc3s2bN5/fo1enp6ZGdnS5IvRBFUvnx5OnToQIsWLcjJyaFfv36EhIRw7949nJ2duXz5MufPn1efP2XKFOrXr8/Tp0+JjIyUJF8UGjKjnw/u379PhQoV1K9v377NoEGD6NChAzNmzADeFM4aMWIEJUuWpHjx4vTr149WrVpRunRpsrKy1FFFIYT4rS+//JK4uDhiY2M5ceIEK1eupE+fPjg7O1O+fHn1eRcvXmTkyJF88sknLFiwQGYzxXsjt85N7kx9UlISPXv2ZMKECXz22WcA7Ny5k+joaKpWrcrcuXPVGjlCiKInNjaWVatWERERwZEjR4iPj+fOnTu4urpy9epVVqxYodb4yPX06VNKly6twaiF+HvkDu8d8/X1ZcqUKZw8eVI9Zm5uzvjx49myZQunT58GICoqCnNzc8aNG4ejoyPr1q1jzpw5GBgYSJIvhPhT33//PS9evCAwMJDy5cvj5OTE+PHjiYyMJDIykocPH6rPrVWrFv3792fXrl38/PPPkuSLQi06Oho3NzfgTaurjIwM9PT0ALhw4QLa2tp4eXmxYsUKtLW16dq1K7169eL8+fOsWLFCk6ELIfJZQkICZ86cUb/u3LkzDg4OuLi40LFjR2bPnk379u0ZPHgwT58+pWbNmvj7+/Py5Uv1eyTJF4WNrqYDeJ+9ePGCM2fO8P333xMVFUV6ejqOjo4A2NvbU7t2bRISEggODub06dMEBARQq1YtAMaMGQOg7tkXQojfmjdvHmfOnCEsLIySJUuSlZWFrq4uffr0QUtLCy8vLxRFwdnZGTMzMwA6duxIeHg4cXFxjBgxQpJ9UShlZGRw//59zp8/z6pVq9RuEvBmgD0gIICoqCieP3+udpeYMWMGXbp0QUdHBzs7O02GL4TIRykpKXh4eJCVlcWIESPo1asX8OZee+nSpezcuZPevXszduxYGjZsSGhoKK9fvyY6OhonJyfs7e01fAZC/G8k0X+HSpYsSadOnUhMTOTmzZvs2bMHLS0tmjdvTtWqVXFwcGDDhg1UrlyZrVu3UqVKFeDNEkSZxRdC/Cfu7u588803+Pr6UrJkSQB0dXXV5fjOzs4Aai/33GS/Ro0atG/fnrZt20qSLwqd3G4GxYoVo3///ujr67Nnzx5WrFjBF198QXBwMP7+/qxatUrtOuHr68u4ceN49eoV8+fPp2vXrho+CyFEfjI1NcXPz4+oqCjmzp3LDz/8QJ8+fbCxscHW1pbY2Fi6du1K8eLFsbe3p0qVKpw7dw4/Pz91kFyIwkj26L8jb+99/fLLL7l58yYAZcuWpVevXjRv3pxXr14xatQoihcvjr+/v7RiEkL8JV5eXqxfv57du3dTvXp1dV9yrrdbu0VGRuLl5UXfvn1xcnLC3NxcU2EL8Y+lpaWho6NDVlYWRkZGvHjxgu3btxMXFwfA9evX8fLywt7eHkVRUBQFbW1tEhISmDlzJrGxsZiammr4LIQQmnLu3Dnc3d0pU6YMjRs3ZujQoTg7O2NlZcWiRYvyPDe39ocQhZVM57wj2traZGRkANCmTRtsbW0ZOnQoT548ISIiguPHj6Ovr0+TJk24ceMGt27d0nDEQojCYOnSpXh7e1OpUiWCg4MB1AriubS0tNROHc7OzkycOBEfHx/27NlDVlaWJsIW4h8LDg5m2rRp9OjRg2HDhrFt2zYyMzMZMGAAnTp14vHjxzRq1EhdZps74JWTk0Pr1q1JSEiQJF+IIs7W1pa1a9fStGlTYmNjGTNmDOPHjyc5OZmDBw/mea4k+aKwkxn9f5Gnpyfa2tq0aNEiT+uNJ0+eMG7cOJycnGjTpg3Tp0/H2NiYUaNGYWVlhZ2dHcOHD8fFxUWD0QshCrply5axdetWQkJCePr0KStXrqR27dosW7YM+P3sw9sz+zExMXz00UdUrVpVE6EL8Y/k7qMdNWoUmZmZ3L17l+joaFq2bMmIESOoW7cumzZtYvfu3djZ2TF9+nQg77+Jt/89CCGKtqysLFJTU5k5cyYpKSmkpqZSr149XF1dMTAw0HR4QvwrJNH/l9y7d4/WrVsD0KxZMypXrszcuXPR1tZGV1eX8+fPM2fOHDw8PFAUhYULF2JiYkL//v25ffs2DRo0oEaNGho+CyFEQfXLL7/g6urK6NGjqVWrFi9fvuTQoUN4eXn9x2RfWuiJwm7x4sXExMQQGBiYZxB93759rF+/HlNTU6ZOnYqlpSVfffUVcXFxNGzYkGnTpmkwaiFEYRETE0NMTAwXL15k7969lCpVStMhCfGvkET/X3TixAmGDBlC586duXbtGjk5OfTs2RNHR0dq1KjBqlWrKF++PIMGDeLChQvMmzcPGxsbpk+fjpGRkabDF0IUUFu2bMHa2lqtFJ5bXf/169ccPHjwvyb7QhRWvr6+rF69mri4OKpWrUpmZia6um/qCGtpaXH06FGWLFlCrVq1WLp0KS9evGDHjh2Eh4fToUMHJk2apOEzEEIUVG8PhKekpADI9h7xXpFpnn9R48aNCQgIICEhgSlTptCmTRvOnTvHyJEj2bt3L6ampmzdupV79+5hY2PDokWL+OyzzyTJF0L8qefPn3P27FmmTp3K8ePHgTf7BnNycihRogStWrVi/PjxJCUlMWPGDPXxt/fsC1HYKIrC8+fPOXfuHB999BHXrl0D3tSjeHt+olmzZowfP55du3Zx7NgxSpUqRbdu3fj000/p2bOnpsIXQhQC2tra6vXE1NRUknzx3pEZ/Xfg4MGDzJw5kyVLlmBlZcWBAwcIDg6mbdu2bN26FScnJ2bPnk2JEiU0HaoQohC4fv06mzdvJiEhAXd3dxwcHPJUFH97Zr9u3bosXrxY0yEL8Y88ePAAMzMzrl69SmBgIA8ePKBHjx506dIFQL05z/03MGHCBIyNjXFzc1MHA2Q/vhBCiKJMZvTfgVatWrFs2TJcXFz48ccfGThwIOvWrcPMzAxDQ0POnj0rla+FEP9V7qx8tWrVGDRoEC1btmTOnDkcP34cLS0ttaJ47sz+xIkTOXLkCPPnz9ds4EL8AwkJCbRs2ZLTp09Ts2ZNRowYQbly5YiOjmbXrl3Ar50l3q4/8fr1a7XNpCT5QgghijqZ0X+HEhMTmThxIitXrqRdu3YApKam8uzZM+llLYT4U48fP6Zs2bJA3j2EN27cICQkhMTExDwz+/AmsXn16hVHjx7FysqKDz74QGPxC/FPTZ8+ncTERDZs2ECDBg24du0afn5+PHr0iO7du+Pk5AS8qVehpaXF9OnTsbKyYvTo0TKbL4QQQiCJ/juXmJiIi4sLCxYsoG3bthQrVkzTIQkhCrDw8HD27duHi4sLtWrVAv442T916hTu7u7Uq1dPk+EK8a/5bYI+a9YsvvnmG/z8/NRk39/fn4cPH9KtWze6du0KwNq1a9m+fTubNm3CwsJCU+ELIYQQBYok+vlg3759uLm5ERcXh6GhoabDEUIUYJcuXWLy5MnY2NgwatQorK2tgbzJfnJyMn5+fujp6eHq6krx4sU1GbIQ/6rcrhKKojBr1izi4+PzJPu5M/v9+/fnypUreHt7Ex4eTu3atTUduhBCCFFgSKKfT9LS0iTJF0L8JVevXmXSpElYWVnx2Wef/WGyHxMTw/r164mMjKRMmTKaDFeIfyQ4OJgXL15gY2ODnZ0dJUqUyLP6bebMmezduxd/f3/s7Oy4du0agYGBHD58mCdPnrB161ZsbGw0eAZCCCFEwaOr6QCKCknyhRB/Vc2aNVm7di2TJ0/Gx8dHTfa1tbXJzMxET08PCwsLjI2NkbFaUZjduXOH4OBg7t+/j66uLmXKlMHc3JwGDRpgbW1Nq1atmDt3LsbGxowbNw4/Pz9sbW0ZNmwYxYoVY+DAgdSoUUPTpyGEEEIUODKjL4QQBdSVK1eYPHky1tbWDBkyJM9+fHd3d5KSkvDx8cHIyEiDUQrxzxw/fpxVq1ahr69PtWrVKF++PLt37+bx48doa2tjamrKxx9/jI+PD9WqVcPd3Z0GDRqog15CCCGE+D1J9IUQogC7evUqM2fOxMzMjEaNGmFpacmhQ4eIjIxk8+bN6rJ+IQqTjIyMPMvzDx48iJ+fH7Vq1WLQoEFUrlyZtLQ09u/fz9WrVzl9+jQPHz7k3r17VK1alR07dlCsWDGpri+EEEL8CUn0hRCigLt16xYhISGcOHECLS0tTE1NmTFjhiT5olDy9fXl4cOHtG7dmmbNmqnHv/nmG/z9/fnwww8ZMGAAderUUR97/fo1r1+/5rvvvpP2kUIIIcRfIIm+EEIUApmZmWRkZJCenk6JEiUwMDDQdEhC/G1Pnz5lyJAhpKSkkJWVRYsWLWjbti3t27cH4NChQ3h6emJpaUm/fv3UInuyTF8IIYT4e7Q1HYAQQoj/Tk9PD0NDQ8qUKSNJvii0SpcuzSeffEKlSpVYu3Ytt27dwt3dHWdnZxITE2nSpAlz584lOTmZiIgILly4ACBJvhBCCPE3SaIvhBBCiHcudwHhyJEjuXPnDhcuXCA8PJzPP/8cfX19Jk6cSK9evUhNTaVr167cuXOHLVu2cOnSJQ1HLoQQQhQ+kugLIYQQ4p3T0tIiOzsbQ0NDRo0axc6dO/nxxx/p2rUroaGhVKhQgdu3bzN8+HAOHTrEhQsXuH79OmXLltV06EIIIUShI4m+EEIIIfKFjo4OAE2bNuXp06ccPXoUgFmzZpGWlkZISAgbN25EV1eXSpUq4ebmRrly5TQZshBCCFEoSTE+IYQQQuQ7X19ffH19sbW1JTk5GR8fH7XSfmpqKlpaWhgaGmo4SiGEEKJwkhl9IYQQQuS7Vq1aUapUKX766Se8vb3ztNMzMjKSJF8IIYT4ByTRF0IIIUS+s7S0pFWrVrx69Qpzc3MAcnJyNByVEEII8X6QRF8IIYQQ+Sp31+C4ceMwMjJiw4YNAGhry22JEEII8W+Qv6hCCCGEyFdaWloAlCxZkrp163Lt2jVevXql4aiEEEKI94cU4xNCCCGExty8eRMACwsLDUcihBBCvD8k0RdCCCGEEEIIId4jsnRfCCGEEEIIIYR4j0iiL4QQQgghhBBCvEck0RdCCCGEEEIIId4jkugLIYQQQgghhBDvEUn0hRBCCCGEEEKI94gk+kIIIYQQQgghxHtEEn0hhBBCCCGEEOI9Iom+EEIIIfI4ceIEVlZWf/r4+vXrGTRo0Dt57ePHj3Pt2rW/9NyMjAwiIiLeSRxCCCFEYSaJvhBCCCH+luHDh7N+/fp38rOHDh1KSkrKX3pubGwsGzdufCdxCCGEEIWZrqYDEEIIIUThYmhoqOkQAFAURdMhCCGEEAWSzOgLIYQQRVhoaCitW7embt269OzZk++++059LCwsDEdHR+rXr8+sWbPIyMgA8i7dj4qKon///qxcuZL69evTqlUrIiMj/6fX/PjjjwEYPHiwumIgMjKSDh06YGNjQ+PGjXFzcyM7O5sTJ04wa9Ys7ty5g5WVFbdv30ZRFLy8vGjevDn29vaMGTOGu3fv/uvvmRBCCFHQSaIvhBBCFFFJSUksX74cV1dX9uzZg729PVOmTCEnJweAvXv3EhAQgKenJ3FxcWzfvv0Pf8758+e5ePEi4eHhTJgwATc3N44cOfK3X3Pbtm3Am4GE4cOHc/LkSRYtWoSLiwtxcXG4ubmxbds29u/fT/369Zk9ezYVKlTgyJEjVKxYkc2bN7Nr1y5WrVpFeHg4ZcuWZfjw4WRmZr6bN1AIIYQooGTpvhBCCFFE3blzBy0tLSpVqoS5uTlTpkyhdevW6pJ4V1dXqlWrhqWlJU2bNuXSpUt/+HO0tLRYvnw5ZcuWxdLSklOnThEREUHz5s3/8mvm5ORQpkwZAExMTDA0NMTAwAB3d3fatWsHgLm5OUFBQVy5coV27dpRsmRJdHR0KFeuHAD+/v64urrSuHFjABYsWEDz5s05fPiwulpACCGEKAok0RdCCCGKqObNm2NpaYmTkxO1a9fmk08+wdnZmRs3bgBQpUoV9bklS5ZUl+7/loWFBWXLllW/trGxYevWrdy9e5fOnTurx52cnJg1a9Yfvqau7u9vSWxsbChRogTr1q3j6tWrXL58mZs3b/7hAEJaWhr3799n6tSpaGv/umDx9evX6vkIIYQQRYUk+kIIIUQRpa+vT2RkJCdPniQhIYGoqCjCwsKYMWMGADo6Onme/2fF736bpGdnZ6OtrU358uWJiYlRjxsZGf3pa0ZFRWFmZpbn5xw+fJjx48fTvXt3HB0dGT9+PG5ubn8YQ3Z2NgBr166lWrVqeR4zMTH572+GEEII8R6RPfpCCCFEEXX27Fl8fHxo0qQJs2bNIi4ujvT09D+cXf9Pbt68SVpamvr1hQsXsLS0RFdXFwsLC/W/smXL/ulrnj59+nc/NzIykl69erFgwQKcnZ2pUaMGt27dUgcctLS01OcaGxtTtmxZHj16pL5exYoVWbFiBdevX/8f3yEhhBCicJIZfSGEEKKIKlGiBF5eXpiamuLg4MCpU6d4+fIlz549+1s/5+XLl7i6ujJ27FhOnz5NXFwcISEhf+s1raysADAwMODKlSvUrl2bUqVKcfbsWS5fvoy2tjY+Pj48evRI3UKgr6/P8+fPuXHjBubm5gwdOpQ1a9ZQtmxZqlevjre3N2fOnMHd3f0fvU9CCCFEYSOJvhBCCFFE1apVC3d3d7y9vVmwYAGVKlVixYoVmJqa/q2fU7FiRcqVK0fv3r0pV64cK1aswM7O7m+9Zo0aNQAYNGgQy5cv59atW0yYMIFZs2bRt29fjIyMaNmyJf379+fixYsANGnSBAsLC5ycnPjqq68YMWIEaWlpzJs3j9TUVGxsbAgICJCl+0IIIYocLeXPNtwJIYQQQvwXUVFReHp6cuDAAU2HIoQQQoj/J3v0hRBCCCGEEEKI94gk+kIIIYQQQgghxHtElu4LIYQQQgghhBDvEZnRF0IIIYQQQggh3iOS6AshhBBCCCGEEO8RSfSFEEIIIYQQQoj3iCT6QgghhBBCCCHEe0QSfSGEEEIIIYQQ4j0iib4QQgghhBBCCPEekURfCCGEEEIIIYR4j0iiL4QQQgghhBBCvEf+D5nZjQBcJv/aAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# top_10_States \n",
    "top_10_state = df['ship-state'].value_counts().head(10)\n",
    "# Plot count of cities by state\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=df[df['ship-state'].isin(top_10_state.index)], x='ship-state',hue='ship-state')\n",
    "plt.xlabel('ship-state')\n",
    "plt.ylabel('count')\n",
    "plt.title('Distribution of  State')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60025486-ee04-43e3-8722-79b87a98b260",
   "metadata": {},
   "source": [
    "#### Note: From above Graph you can see that most of the  buyers are Maharashtra state"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2abc13a-6b8d-468d-a233-6b721c691fd3",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6968d461-7820-4d51-8fee-a9cdd211f53f",
   "metadata": {},
   "source": [
    "#### The data analysis reveals that the business has a significant customer base in Maharashtra state, mainly serves retailers, fulfills orders through Amazon, experiences high demand for T-shirts, and sees M-Size as the preferred choice among buyers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63751030-1169-4625-ae54-1768bdbb04f6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}