Amazon Sales Reports.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7371e515",
   "metadata": {},
   "source": [
    "# Amazon Sales Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1c6f285b",
   "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": 2,
   "id": "ea3918cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Amazon Sale Report.csv',encoding = 'unicode_escape')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "012d88f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128976, 21)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5145c284",
   "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>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",
       "      <th>PendingS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>405-8078784-5731545</td>\n",
       "      <td>04-30-22</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>S</td>\n",
       "      <td>On the Way</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>647.62</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>400081.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>171-9198151-1101146</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>3XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>406.00</td>\n",
       "      <td>BENGALURU</td>\n",
       "      <td>KARNATAKA</td>\n",
       "      <td>560085.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>404-0687676-7273146</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>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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>403-9615377-8133951</td>\n",
       "      <td>04-30-22</td>\n",
       "      <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",
       "      <td>PUDUCHERRY</td>\n",
       "      <td>605008.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>404-1490984-4578765</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>XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>824.00</td>\n",
       "      <td>GHAZIABAD</td>\n",
       "      <td>UTTAR PRADESH</td>\n",
       "      <td>201102.0</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>6</th>\n",
       "      <td>6</td>\n",
       "      <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",
       "      <td>Shipped</td>\n",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>653.00</td>\n",
       "      <td>CHANDIGARH</td>\n",
       "      <td>CHANDIGARH</td>\n",
       "      <td>160036.0</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>7</th>\n",
       "      <td>7</td>\n",
       "      <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",
       "      <td>HYDERABAD</td>\n",
       "      <td>TELANGANA</td>\n",
       "      <td>500032.0</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>407-5443024-5233168</td>\n",
       "      <td>04-30-22</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>3XL</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>HYDERABAD</td>\n",
       "      <td>TELANGANA</td>\n",
       "      <td>500008.0</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>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",
       "      <td>...</td>\n",
       "      <td>INR</td>\n",
       "      <td>363.00</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>TAMIL NADU</td>\n",
       "      <td>600041.0</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  \\\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]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0957616e",
   "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>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",
       "      <th>PendingS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\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>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         index             Order ID      Date   Status Fulfilment  \\\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",
       "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 ship-postal-code  \\\n",
       "128971       INR   517.0  HYDERABAD     TELANGANA         500013.0   \n",
       "128972       INR   999.0   GURUGRAM       HARYANA         122004.0   \n",
       "128973       INR   690.0  HYDERABAD     TELANGANA         500049.0   \n",
       "128974       INR  1199.0      Halol       Gujarat         389350.0   \n",
       "128975       INR   696.0     Raipur  CHHATTISGARH         492014.0   \n",
       "\n",
       "        ship-country    B2B  fulfilled-by New  PendingS  \n",
       "128971            IN  False           NaN NaN       NaN  \n",
       "128972            IN  False           NaN NaN       NaN  \n",
       "128973            IN  False           NaN NaN       NaN  \n",
       "128974            IN  False           NaN NaN       NaN  \n",
       "128975            IN  False           NaN NaN       NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7d98edf9",
   "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": 7,
   "id": "659a48e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop unrelated/blank columns\n",
    "df.drop(['New','PendingS'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4c441dc6",
   "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": 9,
   "id": "9b20b6b6",
   "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>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>Qty</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</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>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</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>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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>3</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>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128971</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>128972</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>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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(df)\n",
    "# checking null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c1cc0f96",
   "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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(df).sum()\n",
    "# sum will give total values of null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a4d61acd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128976, 19)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5ffe715b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop null values\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7353b87d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37514, 19)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e7f55317",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'Order ID', 'Date', 'Status', 'Fulfilment', 'Sales Channel',\n",
       "       'ship-service-level', 'Category', 'Size', 'Courier Status', 'Qty',\n",
       "       'currency', 'Amount', 'ship-city', 'ship-state', 'ship-postal-code',\n",
       "       'ship-country', 'B2B', 'fulfilled-by'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cd401495",
   "metadata": {},
   "outputs": [],
   "source": [
    "#change data type\n",
    "df['ship-postal-code']=df['ship-postal-code'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a9e2427f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int32')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking whelther the data type change or not\n",
    "df['ship-postal-code'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "336c4375",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date']=pd.to_datetime(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a7365c78",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 37514 entries, 0 to 128892\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count  Dtype         \n",
      "---  ------              --------------  -----         \n",
      " 0   index               37514 non-null  int64         \n",
      " 1   Order ID            37514 non-null  object        \n",
      " 2   Date                37514 non-null  datetime64[ns]\n",
      " 3   Status              37514 non-null  object        \n",
      " 4   Fulfilment          37514 non-null  object        \n",
      " 5   Sales Channel       37514 non-null  object        \n",
      " 6   ship-service-level  37514 non-null  object        \n",
      " 7   Category            37514 non-null  object        \n",
      " 8   Size                37514 non-null  object        \n",
      " 9   Courier Status      37514 non-null  object        \n",
      " 10  Qty                 37514 non-null  int64         \n",
      " 11  currency            37514 non-null  object        \n",
      " 12  Amount              37514 non-null  float64       \n",
      " 13  ship-city           37514 non-null  object        \n",
      " 14  ship-state          37514 non-null  object        \n",
      " 15  ship-postal-code    37514 non-null  int32         \n",
      " 16  ship-country        37514 non-null  object        \n",
      " 17  B2B                 37514 non-null  bool          \n",
      " 18  fulfilled-by        37514 non-null  object        \n",
      "dtypes: bool(1), datetime64[ns](1), float64(1), int32(1), int64(2), object(13)\n",
      "memory usage: 5.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ae92c7f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'Order ID', 'Date', 'Status', 'Fulfilment', 'Sales Channel',\n",
       "       'ship-service-level', 'Category', 'Size', 'Courier Status', 'Qty',\n",
       "       'currency', 'Amount', 'ship-city', 'ship-state', 'ship-postal-code',\n",
       "       'ship-country', 'B2B', 'fulfilled-by'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "52322ddd",
   "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>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>Quantity</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>405-8078784-5731545</td>\n",
       "      <td>2022-04-30</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>T-shirt</td>\n",
       "      <td>S</td>\n",
       "      <td>On the Way</td>\n",
       "      <td>0</td>\n",
       "      <td>INR</td>\n",
       "      <td>647.62</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>400081</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>171-9198151-1101146</td>\n",
       "      <td>2022-04-30</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>3XL</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>406.00</td>\n",
       "      <td>BENGALURU</td>\n",
       "      <td>KARNATAKA</td>\n",
       "      <td>560085</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>403-9615377-8133951</td>\n",
       "      <td>2022-04-30</td>\n",
       "      <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>0</td>\n",
       "      <td>INR</td>\n",
       "      <td>753.33</td>\n",
       "      <td>PUDUCHERRY</td>\n",
       "      <td>PUDUCHERRY</td>\n",
       "      <td>605008</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>406-7807733-3785945</td>\n",
       "      <td>2022-04-30</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>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>399.00</td>\n",
       "      <td>HYDERABAD</td>\n",
       "      <td>TELANGANA</td>\n",
       "      <td>500032</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>405-5513694-8146768</td>\n",
       "      <td>2022-04-30</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>XS</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>399.00</td>\n",
       "      <td>Amravati.</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "      <td>444606</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128875</th>\n",
       "      <td>128874</td>\n",
       "      <td>405-4724097-1016369</td>\n",
       "      <td>2022-06-01</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>S</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>854.00</td>\n",
       "      <td>ALLUR</td>\n",
       "      <td>ANDHRA PRADESH</td>\n",
       "      <td>524315</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128876</th>\n",
       "      <td>128875</td>\n",
       "      <td>403-9524128-9243508</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Blazzer</td>\n",
       "      <td>XL</td>\n",
       "      <td>On the Way</td>\n",
       "      <td>0</td>\n",
       "      <td>INR</td>\n",
       "      <td>734.29</td>\n",
       "      <td>Barabanki</td>\n",
       "      <td>UTTAR PRADESH</td>\n",
       "      <td>225001</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128888</th>\n",
       "      <td>128887</td>\n",
       "      <td>405-6493630-8542756</td>\n",
       "      <td>2022-05-31</td>\n",
       "      <td>Shipped - Delivered to Buyer</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Trousers</td>\n",
       "      <td>M</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>518.00</td>\n",
       "      <td>NOIDA</td>\n",
       "      <td>UTTAR PRADESH</td>\n",
       "      <td>201301</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128891</th>\n",
       "      <td>128890</td>\n",
       "      <td>407-0116398-1810752</td>\n",
       "      <td>2022-05-31</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Wallet</td>\n",
       "      <td>Free</td>\n",
       "      <td>On the Way</td>\n",
       "      <td>0</td>\n",
       "      <td>INR</td>\n",
       "      <td>398.10</td>\n",
       "      <td>MADURAI</td>\n",
       "      <td>TAMIL NADU</td>\n",
       "      <td>625007</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128892</th>\n",
       "      <td>128891</td>\n",
       "      <td>403-0317423-9322704</td>\n",
       "      <td>2022-05-31</td>\n",
       "      <td>Shipped - Delivered to Buyer</td>\n",
       "      <td>Merchant</td>\n",
       "      <td>Amazon.in</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Blazzer</td>\n",
       "      <td>M</td>\n",
       "      <td>Shipped</td>\n",
       "      <td>1</td>\n",
       "      <td>INR</td>\n",
       "      <td>721.00</td>\n",
       "      <td>UTTAR BAGDOGRA</td>\n",
       "      <td>WEST BENGAL</td>\n",
       "      <td>734014</td>\n",
       "      <td>IN</td>\n",
       "      <td>False</td>\n",
       "      <td>Easy Ship</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>37514 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         index             Order ID       Date                        Status  \\\n",
       "0            0  405-8078784-5731545 2022-04-30                     Cancelled   \n",
       "1            1  171-9198151-1101146 2022-04-30  Shipped - Delivered to Buyer   \n",
       "3            3  403-9615377-8133951 2022-04-30                     Cancelled   \n",
       "7            7  406-7807733-3785945 2022-04-30  Shipped - Delivered to Buyer   \n",
       "12          12  405-5513694-8146768 2022-04-30  Shipped - Delivered to Buyer   \n",
       "...        ...                  ...        ...                           ...   \n",
       "128875  128874  405-4724097-1016369 2022-06-01  Shipped - Delivered to Buyer   \n",
       "128876  128875  403-9524128-9243508 2022-06-01                     Cancelled   \n",
       "128888  128887  405-6493630-8542756 2022-05-31  Shipped - Delivered to Buyer   \n",
       "128891  128890  407-0116398-1810752 2022-05-31                     Cancelled   \n",
       "128892  128891  403-0317423-9322704 2022-05-31  Shipped - Delivered to Buyer   \n",
       "\n",
       "       Fulfilment Sales Channel ship-service-level  Category  Size  \\\n",
       "0        Merchant     Amazon.in           Standard   T-shirt     S   \n",
       "1        Merchant     Amazon.in           Standard     Shirt   3XL   \n",
       "3        Merchant     Amazon.in           Standard   Blazzer     L   \n",
       "7        Merchant     Amazon.in           Standard     Shirt     S   \n",
       "12       Merchant     Amazon.in           Standard     Shirt    XS   \n",
       "...           ...           ...                ...       ...   ...   \n",
       "128875   Merchant     Amazon.in           Standard   T-shirt     S   \n",
       "128876   Merchant     Amazon.in           Standard   Blazzer    XL   \n",
       "128888   Merchant     Amazon.in           Standard  Trousers     M   \n",
       "128891   Merchant     Amazon.in           Standard    Wallet  Free   \n",
       "128892   Merchant     Amazon.in           Standard   Blazzer     M   \n",
       "\n",
       "       Courier Status  Quantity currency  Amount       ship-city  \\\n",
       "0          On the Way         0      INR  647.62          MUMBAI   \n",
       "1             Shipped         1      INR  406.00       BENGALURU   \n",
       "3          On the Way         0      INR  753.33      PUDUCHERRY   \n",
       "7             Shipped         1      INR  399.00       HYDERABAD   \n",
       "12            Shipped         1      INR  399.00       Amravati.   \n",
       "...               ...       ...      ...     ...             ...   \n",
       "128875        Shipped         1      INR  854.00           ALLUR   \n",
       "128876     On the Way         0      INR  734.29       Barabanki   \n",
       "128888        Shipped         1      INR  518.00           NOIDA   \n",
       "128891     On the Way         0      INR  398.10         MADURAI   \n",
       "128892        Shipped         1      INR  721.00  UTTAR BAGDOGRA   \n",
       "\n",
       "            ship-state  ship-postal-code ship-country    B2B fulfilled-by  \n",
       "0          MAHARASHTRA            400081           IN  False    Easy Ship  \n",
       "1            KARNATAKA            560085           IN  False    Easy Ship  \n",
       "3           PUDUCHERRY            605008           IN  False    Easy Ship  \n",
       "7            TELANGANA            500032           IN  False    Easy Ship  \n",
       "12         MAHARASHTRA            444606           IN  False    Easy Ship  \n",
       "...                ...               ...          ...    ...          ...  \n",
       "128875  ANDHRA PRADESH            524315           IN  False    Easy Ship  \n",
       "128876   UTTAR PRADESH            225001           IN  False    Easy Ship  \n",
       "128888   UTTAR PRADESH            201301           IN  False    Easy Ship  \n",
       "128891      TAMIL NADU            625007           IN  False    Easy Ship  \n",
       "128892     WEST BENGAL            734014           IN  False    Easy Ship  \n",
       "\n",
       "[37514 rows x 19 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#rename Columns\n",
    "df.rename(columns={'Qty':'Quantity'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b2dfe663",
   "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>index</th>\n",
       "      <th>Qty</th>\n",
       "      <th>Amount</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>37514.000000</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>0.867383</td>\n",
       "      <td>646.553960</td>\n",
       "      <td>463291.552754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>36844.853039</td>\n",
       "      <td>0.354160</td>\n",
       "      <td>279.952414</td>\n",
       "      <td>194550.425637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27235.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>458.000000</td>\n",
       "      <td>370465.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>63470.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>629.000000</td>\n",
       "      <td>500019.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>91790.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>771.000000</td>\n",
       "      <td>600042.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>128891.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5495.000000</td>\n",
       "      <td>989898.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               index           Qty        Amount  ship-postal-code\n",
       "count   37514.000000  37514.000000  37514.000000      37514.000000\n",
       "mean    60953.809858      0.867383    646.553960     463291.552754\n",
       "std     36844.853039      0.354160    279.952414     194550.425637\n",
       "min         0.000000      0.000000      0.000000     110001.000000\n",
       "25%     27235.250000      1.000000    458.000000     370465.000000\n",
       "50%     63470.500000      1.000000    629.000000     500019.000000\n",
       "75%     91790.750000      1.000000    771.000000     600042.000000\n",
       "max    128891.000000      5.000000   5495.000000     989898.000000"
      ]
     },
     "execution_count": 21,
     "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": 22,
   "id": "ba721127",
   "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": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b5c81ab5",
   "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>Qty</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": [
       "                Qty        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": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#use describe() for specific columns\n",
    "df[['Qty','Amount']].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d592947",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "97156550",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'Order ID', 'Date', 'Status', 'Fulfilment', 'Sales Channel',\n",
       "       'ship-service-level', 'Category', 'Size', 'Courier Status', 'Qty',\n",
       "       'currency', 'Amount', 'ship-city', 'ship-state', 'ship-postal-code',\n",
       "       'ship-country', 'B2B', 'fulfilled-by'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3712c25",
   "metadata": {},
   "source": [
    "# Size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f0855db4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=sns.countplot(x='Size' , data=df)\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8150957a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=sns.countplot(x='Size' , data=df)\n",
    "\n",
    "for bars in ax.containers:\n",
    "    ax.bar_label(bars)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8f100ec",
   "metadata": {},
   "source": [
    "Note: From above Graph you can see that most of the people buys M-size"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2944681",
   "metadata": {},
   "source": [
    "# Graph By:-"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "018be31b",
   "metadata": {},
   "source": [
    "The groupby() function in pandas is used to group data based on one or more columns in a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "07166344",
   "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>Size</th>\n",
       "      <th>Qty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M</td>\n",
       "      <td>5905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>L</td>\n",
       "      <td>5795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>XL</td>\n",
       "      <td>5481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>XXL</td>\n",
       "      <td>4465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3XL</td>\n",
       "      <td>3972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>S</td>\n",
       "      <td>3896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>XS</td>\n",
       "      <td>2191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Free</td>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6XL</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5XL</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4XL</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Size   Qty\n",
       "6      M  5905\n",
       "5      L  5795\n",
       "8     XL  5481\n",
       "10   XXL  4465\n",
       "0    3XL  3972\n",
       "7      S  3896\n",
       "9     XS  2191\n",
       "4   Free   467\n",
       "3    6XL   170\n",
       "2    5XL   104\n",
       "1    4XL    93"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Size'], as_index=False)['Qty'].sum().sort_values(by='Qty',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "31c8cd6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "S_Qty=df.groupby(['Size'], as_index=False)['Qty'].sum().sort_values(by='Qty',ascending=False)\n",
    "\n",
    "ax = sns.barplot(x='Size',y='Qty', data=S_Qty)\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ea030a6",
   "metadata": {},
   "source": [
    "Note: From above Graph you can see that most of the Qty buys M-Size in the sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "98901391",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(data=df, x='Courier Status', hue='Status')\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "833dda31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "\n",
    "ax=sns.countplot(data=df, x='Courier Status',hue= 'Status')\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4a54199",
   "metadata": {},
   "source": [
    "Note: From above Graph the majority of the orders are shipped through the courier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ca55e9ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram\n",
    "ax = df['Size'].hist()\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b285f0b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 37514 entries, 0 to 128892\n",
      "Data columns (total 19 columns):\n",
      " #   Column              Non-Null Count  Dtype         \n",
      "---  ------              --------------  -----         \n",
      " 0   index               37514 non-null  int64         \n",
      " 1   Order ID            37514 non-null  object        \n",
      " 2   Date                37514 non-null  datetime64[ns]\n",
      " 3   Status              37514 non-null  object        \n",
      " 4   Fulfilment          37514 non-null  object        \n",
      " 5   Sales Channel       37514 non-null  object        \n",
      " 6   ship-service-level  37514 non-null  object        \n",
      " 7   Category            37514 non-null  object        \n",
      " 8   Size                37514 non-null  object        \n",
      " 9   Courier Status      37514 non-null  object        \n",
      " 10  Qty                 37514 non-null  int64         \n",
      " 11  currency            37514 non-null  object        \n",
      " 12  Amount              37514 non-null  float64       \n",
      " 13  ship-city           37514 non-null  object        \n",
      " 14  ship-state          37514 non-null  object        \n",
      " 15  ship-postal-code    37514 non-null  int32         \n",
      " 16  ship-country        37514 non-null  object        \n",
      " 17  B2B                 37514 non-null  bool          \n",
      " 18  fulfilled-by        37514 non-null  object        \n",
      "dtypes: bool(1), datetime64[ns](1), float64(1), int32(1), int64(2), object(13)\n",
      "memory usage: 5.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8bf82b1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "44f0f641",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Category'] = df['Category'].astype(str)\n",
    "column_data = df['Category']\n",
    "data = column_data\n",
    "# counts, edges, bars = plt.hist(data)\n",
    "plt.figure(figsize=(10,5))\n",
    "counts, edges, bars= plt.hist(column_data, bins=10, edgecolor='Black')\n",
    "plt.xticks(rotation=90)\n",
    "plt.bar_label(bars)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "118d71ab",
   "metadata": {},
   "source": [
    "Note: From above Graph you can see that most of the buyers are T-shirt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b8a05ac3",
   "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('equals')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e03efc51",
   "metadata": {},
   "source": [
    "Note: From above chart we can see that maximum i.e. 99.3% of buyers are retailers and 0.8% are B2B buyers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "583721d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAj4AAAHFCAYAAADyj/PrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABOu0lEQVR4nO3deVxUVeM/8M+wDcvAmCsuKCihUqi4FaCimeKSmZk9mRua5YKkmBr4GOg3E/PJ1Pyamsqi1Vd7ci23ysQ0TdFEUXnMBRQDtVxmxAUQzu8Pfs7jsA7MMDNyPu/X675ezr1n7j3nzOXMx7uNQgghQERERCQBG0tXgIiIiMhcGHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iKjSDh8+jEGDBqFp06ZQKpVo0KABAgIC8N5771XbNg8ePIjZs2fj9u3bJZZ9/vnnSEhIqLZtl6Z79+5QKBS6ycnJCW3btsXixYtRWFioKxcaGgpPT88qbcMS7SKq6Rh8iKhStm/fjsDAQGi1WixYsAA//PADlixZgqCgIGzYsKHatnvw4EHMmTPHaoIPADRv3hyHDh3CoUOHsGHDBjRu3BgRERGIiooyyfoZfIhMz87SFSCiJ8uCBQvg5eWF3bt3w87uv0PIG2+8gQULFliwZqYlhMCDBw/g5ORUZhknJyc8//zzutd9+/ZFq1at8L//+7+YO3cu7O3tzVFVIqoEHvEhokq5ceMG6tatqxd6HrGxKTmkfP311wgICIBKpYJKpUK7du2wZs0a3fIff/wRAwcORJMmTeDo6Ahvb2+MGzcOf//9t67M7NmzMX36dACAl5eX7vRSUlISPD09cfr0aezbt083//FTS1qtFtOmTYOXlxccHBzQuHFjTJkyBXfv3tWrp0KhwKRJk7BixQq0bt0aSqUSiYmJleobe3t7dOjQAffu3cNff/1VZrkHDx4gKipKr05hYWF6R7MqahcRVQ2P+BBRpQQEBGD16tV49913MWzYMLRv377MIxvR0dH48MMP8eqrr+K9996DWq3GqVOncOnSJV2ZCxcuICAgAGPHjoVarUZGRgY+/fRTdOnSBampqbC3t8fYsWNx8+ZNLF26FJs2bULDhg0BAL6+vti8eTNee+01qNVqfP755wAApVIJALh37x6Cg4Nx5coVzJw5E23atMHp06cRHR2N1NRU/PTTT1AoFLq6bNmyBfv370d0dDTc3d1Rv379SvfPhQsXYGdnh6eeeqrU5UIIvPLKK9izZw+ioqLQtWtXnDx5EjExMbrTZkqlstx2EZERBBFRJfz999+iS5cuAoAAIOzt7UVgYKCIjY0Vd+7c0ZW7ePGisLW1FcOGDTN43YWFhSI/P19cunRJABBbt27VLfvXv/4lAIj09PQS73vmmWdEcHBwifmxsbHCxsZGJCcn683/9ttvBQCxY8cO3TwAQq1Wi5s3bxpU1+DgYPHMM8+I/Px8kZ+fL7KyskRkZKQAIIYMGaIrN2rUKNGsWTPd6127dgkAYsGCBXrr27BhgwAgvvjiiwrbRURVx1NdRFQpderUwf79+5GcnIz58+dj4MCB+OOPPxAVFQU/Pz/dKaoff/wRBQUFCAsLK3d9169fx/jx4+Hh4QE7OzvY29ujWbNmAIC0tDSj6vr999/j2WefRbt27fDw4UPdFBISojtV9rgXXnihzCM1pTl9+jTs7e1hb2+PRo0aYeHChRg2bBhWrVpV5nt+/vlnAEV3ez1uyJAhcHFxwZ49ewzePhFVHk91EVGVdOzYER07dgQA5Ofn4/3338eiRYuwYMECLFiwQHeNS5MmTcpcR2FhIXr37o2srCx88MEH8PPzg4uLCwoLC/H888/j/v37RtXx2rVrOH/+fJmn4h6/jgiA7hSaoVq0aIH169dDoVDA0dERXl5ecHZ2Lvc9N27cgJ2dHerVq6c3X6FQwN3dHTdu3KhUHYiochh8iMho9vb2iImJwaJFi3Dq1CkA0H2xX7lyBR4eHqW+79SpUzhx4gQSEhIwatQo3fzz58+bpF5169aFk5MT4uLiylz+uMev9zGEo6OjLvwZqk6dOnj48CH++usvvfAjhMDVq1fRqVOnSq2PiCqHp7qIqFKys7NLnf/otFSjRo0AAL1794atrS2WL19e5roeBY3iF+2uXLmyRNlHZUo7CqRUKkud/9JLL+HChQuoU6eO7gjV45Ml7pLq2bMnAODLL7/Um79x40bcvXtXtxwou11EVHU84kNElRISEoImTZpgwIABaNWqFQoLC5GSkoKFCxdCpVJh8uTJAIpux545cyY+/PBD3L9/H0OHDoVarcaZM2fw999/Y86cOWjVqhVatGiByMhICCFQu3ZtfPfdd/jxxx9LbNfPzw8AsGTJEowaNQr29vZo2bIlXF1d4efnh/Xr12PDhg1o3rw5HB0d4efnhylTpmDjxo3o1q0bIiIi0KZNGxQWFuLy5cv44Ycf8N577+G5554za//16tULISEheP/996HVahEUFKS7q8vf3x8jRozQa3Np7SIiI1j66moierJs2LBBvPnmm+Lpp58WKpVK2Nvbi6ZNm4oRI0aIM2fOlCi/du1a0alTJ+Ho6ChUKpXw9/cX8fHxuuVnzpwRvXr1Eq6uruKpp54SQ4YMEZcvXxYARExMjN66oqKiRKNGjYSNjY0AIPbu3SuEECIjI0P07t1buLq6CgB6d1Hl5OSIWbNmiZYtWwoHBwehVquFn5+fiIiIEFevXtWVAyDCwsIM7odHd3VVpPhdXUIIcf/+ffH++++LZs2aCXt7e9GwYUMxYcIEcevWLb1y5bWLiKpGIYQQFk1eRERERGbCa3yIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNLgAwyLKSwsRFZWFlxdXSv9+HoiIiKyDCEE7ty5g0aNGsHGpuzjOgw+xWRlZZX5u0JERERk3TIzM8v9cWQGn2JcXV0BFHWcm5ubhWtDREREhtBqtfDw8NB9j5eFwaeYR6e33NzcGHyIiIieMBVdpsKLm4mIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGnxysxn8pc3FoM8P4ObdfNR2scfmiV1Qz01p6WqZ1SsfbUfKnf++bucKbPlnf8tViIiIpGS1R3xiY2OhUCgwZcoUAEBOTg5atGiBqVOn6pXLyMiAm5sbVq9eDQBISkqCQqHA7du3zVzj0rWZvRud5v2EK7cf4F5+Aa7cfoBO835Cm9m7LV01s/GM1A89AJByp2g+ERGROVll8ElOTsYXX3yBNm3a6OapVCrEx8dj6dKl2L9/P4Cin6AfPXo0goKCMHbsWEtVt0xtZu+G9sHDUpdpHzyUIvxUFG4YfoiIyJysLvjk5ORg2LBhWLVqFZ566im9Zd26dUN4eDhGjx6Nu3fvYsmSJUhJSdEd7bEmf2lzyww9j2gfPMRf2lwz1cj8XvnIsFBjaDkiIiJjWV3wCQsLQ//+/fHiiy+WunzevHmwt7fH8OHDMXPmTCxduhSNGzeu8vZyc3Oh1Wr1JlMY9PkBk5Z7EhU/vWVsOSIiImNZ1cXN69evx++//47k5OQyyzg6OmLx4sXo06cP+vbti+HDhxu1zdjYWMyZM8eodZTm5t18k5YjIiIi41nNEZ/MzExMnjwZX375JRwdHcstu2bNGjg7OyM1NRUajcao7UZFRUGj0eimzMxMo9b3SG0Xe5OWIyIiIuNZTfA5duwYrl+/jg4dOsDOzg52dnbYt28fPvvsM9jZ2aGgoAAAsGHDBmzbtg0HDhyAWq1GRESEUdtVKpVwc3PTm0xh88QuJi33JGrnatpyRERExrKa4NOzZ0+kpqYiJSVFN3Xs2BHDhg1DSkoKbG1tce3aNYSFhWHu3Lnw9/dHQkIC1q1bh507d1q6+iXUc1PCzbH8M4lujnY1+nk+hj6nh8/zISIic7Gaa3xcXV3x7LPP6s1zcXFBnTp1dPPHjRuHli1b6p7l07FjR8yYMQPvvPMOTp06BbVarXtvamoqXF31DyW0a9euehtRzMnZIWXe0u7maIeTs0PMWh9LyJjfv9xb1jPmM/QQEZH5WE3wqcjatWvx448/IiUlBTY2/z1QFRMTg23btiEiIgJxcXG6+d26dSuxDiGEWer6uJOzQ6R/cnPG/P58cjMREVkFhbBEGrBiWq0WarUaGo3GZNf7EBERUfUy9Pvbaq7xISIiIqpuDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSsJrgM3v2bCgUCr3J3d0dAJCTk4MWLVpg6tSpeu/JyMiAm5sbVq9eDQBISkqCQqHA7du3zV39chUUChy6cANbU/7EoQs3UFAoLF0lswuK3A7Px6agyO2WrhIREUnIztIVeNwzzzyDn376Sffa1tYWAKBSqRAfH4+ePXti0KBB6Nq1K4QQGD16NIKCgjB27FhLVblCu05lY853Z5CteaCb11DtiJgBvujzbEML1sx8PEsJOX/+//kZ8/ubv0JERCQtqzniAwB2dnZwd3fXTfXq1dMt69atG8LDwzF69GjcvXsXS5YsQUpKiu5ojzXadSobE778XS/0AMBVzQNM+PJ37DqVbaGamU9poacyy4mIiEzJqoLPuXPn0KhRI3h5eeGNN97AxYsX9ZbPmzcP9vb2GD58OGbOnImlS5eicePGFqpt+QoKBeZ8dwalndR6NG/Od2dq9GkvQ09n8bQXERGZi9UEn+eeew5r167F7t27sWrVKly9ehWBgYG4ceOGroyjoyMWL16MLVu2oHv37hg+fLjR283NzYVWq9WbTOFI+s0SR3oeJwBkax7gSPpNk2zPGv1p4nJERETGsprg07dvXwwePBh+fn548cUXsX170VGAxMREvXJr1qyBs7MzUlNTodFojN5ubGws1Gq1bvLw8DB6nQBw/U7Zoacq5YiIiMh4VhN8inNxcYGfnx/OnTunm7dhwwZs27YNBw4cgFqtRkREhNHbiYqKgkaj0U2ZmZlGrxMA6rs6mrQcERERGc9qg09ubi7S0tLQsGHRnU/Xrl1DWFgY5s6dC39/fyQkJGDdunXYuXOnUdtRKpVwc3PTm0yhs1dtNFQ7QlHGcgWK7u7q7FXbJNuzRoZefWWdV2kREVFNZDXBZ9q0adi3bx/S09Nx+PBhvPbaa9BqtRg1ahQAYNy4cWjZsqXuWT4dO3bEjBkz8M4775Q45ZWamoqUlBS9ydxsbRSIGeALACXCz6PXMQN8YWtTVjR68v1q4K3qhpYjIiIyltUEnytXrmDo0KFo2bIlXn31VTg4OOC3335Ds2bNsHbtWvz4449ISEiAjc1/qxwTE4NatWqVOOXVrVs3+Pv7602W0OfZhlg+vD3c1fqns9zVjlg+vL0Uz/Gp6Dk9fI4PERGZk0IIUXPvp64CrVYLtVoNjUZjstNeBYUCR9Jv4vqdB6jvWnR6qyYf6SlNUOR2vbu3GoNHeoiIyHQM/f5m8CmmOoIPERERVS9Dv7+t5lQXERERUXVj8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA07S1eAiIhqPs/I7SXmZczvb4GaWI7sfbDl0CVM2XpK93rxwGfxSkAzs9fDokd8QkNDoVAoSkznz5+3ZLWIiMiESvvCL29+TSR7H3hGbtcLPQAwZespi7Tf4qe6+vTpg+zsbL3Jy8tLr0xeXp6FakdERMao6ItNhi9+2fvA2tpv8eCjVCrh7u6uN/Xs2ROTJk3C1KlTUbduXfTq1QsAcObMGfTr1w8qlQoNGjTAiBEj8Pfff+vWJYTAggUL0Lx5czg5OaFt27b49ttvLdU0IiKpGfqFVpO/+GXvgy2HLpm0nClYPPiUJTExEXZ2dvj111+xcuVKZGdnIzg4GO3atcPRo0exa9cuXLt2Da+//rruPbNmzUJ8fDyWL1+O06dPIyIiAsOHD8e+ffvK3E5ubi60Wq3eRERERMYrfnrL2HKmYPGLm7///nuoVCrd6759+wIAvL29sWDBAt386OhotG/fHvPmzdPNi4uLg4eHB/744w80btwYn376KX7++WcEBAQAAJo3b44DBw5g5cqVCA4OLnX7sbGxmDNnTnU0jYiIiKyMxYNPjx49sHz5ct1rFxcXDB06FB07dtQrd+zYMezdu1cvJD1y4cIFaDQaPHjwQHda7JG8vDz4+/uXuf2oqChMnTpV91qr1cLDw6OqzSEiIiIrZvHg4+LiAm9v71LnP66wsBADBgzAxx9/XKJsw4YNcepU0WGy7du3o3HjxnrLlUplmdtXKpXlLiciIqKqWTzwWYNOYy0e+KwZalPEaq/xKa59+/Y4ffo0PD094e3trTe5uLjA19cXSqUSly9fLrGcR3CIiMzP0GfU1ORn2cjeB4Y+p8ecz/N5YoJPWFgYbt68iaFDh+LIkSO4ePEifvjhB4wZMwYFBQVwdXXFtGnTEBERgcTERFy4cAHHjx/HsmXLkJiYaOnqExFJqaIv9Jr6hf842fvA2tr/xASfRo0a4ddff0VBQQFCQkLw7LPPYvLkyVCr1bCxKWrGhx9+iOjoaMTGxqJ169YICQnBd999V+K5QEREZD5lfbHV9C/8x8neBxnz+5c4nbV44LMWab9CCCHMvlUrptVqoVarodFo4ObmZunqEBERkQEM/f5+Yo74EBERERmLwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgadpaugKEKCgrQtWtXNGzYEBs3btTN12g0ePbZZzFq1CiMHTsWXl5eOH78ONq1a2e5yhbjGbm9xLyM+f0tUBPLkb0PZG8/AHz9y3nM3HFW93pev5Z4s5u3BWtkXtwHiKzDE3PEx9bWFomJidi1axe++uor3fzw8HDUrl0b0dHRFqxd2Uob7MqbXxPJ3geytx8oauvjoQcAZu44K00fcB8gsh5PTPABgKeffhqxsbEIDw9HVlYWtm7divXr1yMxMREODg6Wrl4JFQ1qMgx6sveB7O0H2Aeyt5/I2jxRwQcoOsLTtm1bjBw5Eu+88w6io6Ot6rTWI4YOZjV50JO9D2RvP1B0esuU5Z403AeIrM8TF3wUCgWWL1+OPXv2oEGDBoiMjDRqfbm5udBqtXoTEZlG8dNbxpYjIjLWExd8ACAuLg7Ozs5IT0/HlStXjFpXbGws1Gq1bvLw8DBRLYmIiMjaPHHB59ChQ1i0aBG2bt2KgIAAvPXWWxBCVHl9UVFR0Gg0uikzM9OEtSUiIiJr8kQFn/v372PUqFEYN24cXnzxRaxevRrJyclYuXJlldepVCrh5uamNxGRaczr19Kk5YiIjPVEBZ/IyEgUFhbi448/BgA0bdoUCxcuxPTp05GRkaErd/bsWaSkpOhNeXl5Zq2roc/nqMnP8ZC9D2RvPwCDn9NTU5/nw32AyPoohDHnicxo37596NmzJ5KSktClSxe9ZSEhIXj48CFWr16N5s2bl/r+9PR0eHp6VrgdrVYLtVoNjUZjkqM/5d2tIctgJ3sfyN5+gH0ge/uJzMHQ7+8nJviYi6mDD8AntgLsA9nbD/DJzdwHiKoXg08VVUfwISIioupl6Pf3E3WNDxEREZExGHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUnDztIVkIFn5PYS8zLm97dATSxH9j6Qvf0AsCv5T4zfmKJ7vWJwO/Tp1NhyFTIz7gNE1uGJP+ITGhoKhUKB8ePHl1g2ceJEKBQKhIaGmr9i/19pg11582si2ftA9vYDRW19PPQAwPiNKdL0AfcBIuvxxAcfAPDw8MD69etx//593bwHDx7g//7v/9C0aVOL1auiQU2GQU/2PpC9/QD7QPb2E1mbGhF82rdvj6ZNm2LTpk26eZs2bYKHhwf8/f0tUidDB7OaPOjJ3geytx8oOr1lynJPGu4DRNanRgQfABg9ejTi4+N1r+Pi4jBmzJgK35ebmwutVqs3EZFpFD+9ZWw5IiJj1ZjgM2LECBw4cAAZGRm4dOkSfv31VwwfPrzC98XGxkKtVusmDw8PM9SWiIiILKHG3NVVt25d9O/fH4mJiRBCoH///qhbt26F74uKisLUqVN1r7VaLcMPERFRDVVjgg8AjBkzBpMmTQIALFu2zKD3KJVKKJXK6qwWkbRWDG5n0GmsFYPbVXtdiIiAGnSqCwD69OmDvLw85OXlISQkxKJ1MfT5HDX5OR6y94Hs7Qdg8HN6aurzfLgPEFmfGhV8bG1tkZaWhrS0NNja2lq6OhUOZjIMdrL3geztB9gHsrefyNrUqOADAG5ubnBzc7N0NXTKGtRkGuxk7wPZ2w8UtbX46awVg9tJ0wfcB4ish0IIISxdCWui1WqhVquh0WisKkARERFR2Qz9/q5xR3yIiIiIysLgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikkaVg8/+/fsxfPhwBAQE4M8//wQArFu3DgcOHDBZ5YiIiIhMqUrBZ+PGjQgJCYGTkxOOHz+O3NxcAMCdO3cwb948k1aQiIiIyFSqFHzmzp2LFStWYNWqVbC3t9fNDwwMxO+//26yyhERERGZUpWCz9mzZ9GtW7cS893c3HD79m1j60RERERULaoUfBo2bIjz58+XmH/gwAE0b97c6EoRERERVYcqBZ9x48Zh8uTJOHz4MBQKBbKysvDVV19h2rRpmDhxoqnrSERERGQSdlV504wZM6DRaNCjRw88ePAA3bp1g1KpxLRp0zBp0iRT15GIiIjIJBRCCFHVN9+7dw9nzpxBYWEhfH19oVKpTFk3i9BqtVCr1dBoNHBzczPJOj0jt5eYlzG/v0nW/aSQvQ9kbz8A7DhyBRM3ndC9/vzVtujXuYkFa2Re3AeIqpeh399VOtW1du1apKWlwdnZGR07dkTnzp2hUqnw4MEDrF27ttLrKygoQGBgIAYPHqw3X6PRwMPDA7NmzcKOHTvg4OBQ4q6xTz75BHXr1sXVq1cBAKGhoXjllVeq0qxqUdpgV978mkj2PpC9/UBRWx8PPQAwcdMJafqA+wCR9ahS8AkNDUXnzp2xceNGvfkajQajR4+u9PpsbW2RmJiIXbt24auvvtLNDw8PR+3atREdHY1+/fph5MiRGDlypO65QWlpafjggw+wbNkyuLu7V6Up1aqiQU2GQU/2PpC9/QD7QPb2E1mbKj+5ec6cORgxYgRmz55tkoo8/fTTiI2NRXh4OLKysrB161asX78eiYmJcHBwAAAsWrQIOTk5iImJwcOHDzFy5EgMGDAA//jHP0xSB1MydDCryYOe7H0ge/uBotNbpiz3pOE+QGR9qnRxMwAMHz4cgYGBGDRoEE6dOoV169YZXZnw8HBs3rwZI0eORGpqKqKjo9GuXTvdcldXV8TFxSEkJATp6enIzMzEzp07jdpmbm6u7ggSUHSOkIhMo/jprfLKZUh0vQ8RWU6VjvgoFAoAwPPPP4/Dhw/j/PnzCAwMREZGhlGVUSgUWL58Ofbs2YMGDRogMjKyRJkXXngBr732Gr755ht89tlnqFu3rlHbjI2NhVqt1k0eHh5GrY+IiIisV5WCz+M3gjVt2hQHDx6Ep6cnevXqZXSF4uLi4OzsjPT0dFy5UvLwd1ZWFnbt2gVnZ2fs37/f6O1FRUVBo9HopszMTKPXSURERNapSsEnJiZG79Z1Z2dnbN68GREREaX+lIWhDh06hEWLFmHr1q0ICAjAW2+9heJ3248dOxZt27bFjh07sHz5cuzbt6/K2wMApVIJNzc3vYmITOPzV9uatBwRkbGqHHycnZ1LzJ8zZw727t1bpYrcv38fo0aNwrhx4/Diiy9i9erVSE5OxsqVK3VlVq9ejf379yM+Ph7BwcGYNGkSxowZg7t371Zpm9XJ0Odz1OTneMjeB7K3H4DBz+mpqc/z4T5AZH0MfoDhtm3b0LdvX9jb22Pbtm1lr1ChwIABAypdkcmTJ2P79u04ceIEXFxcAACrVq3C1KlTkZqaChsbG/j5+WHBggUYN24cgKIHKLZt2xZ9+vTB0qVLARTdan/p0iUsWrRIb/21a9dG06ZNK6yHqR9gWN7dGrIMdrL3geztB9gHsrefyBwM/f42OPjY2Njg6tWrqF+/Pmxsyj5QpFAoUFBQUKnK7tu3Dz179kRSUhK6dOmitywkJAQPHz4EANjZ2WH37t16yw8cOIDu3btjz549CA4ORmhoKBITE0tsY9SoUUhISKiwLnxyc/WQvQ9kbz/AJzdzHyCqXiYPPrKojuBDRERE1atafrLi8OHDJZ6bs3btWnh5eaF+/fp455139J6JQ0RERGRNKhV8Zs+ejZMnT+pep6am4q233sKLL76IyMhIfPfdd4iNjTV5JYmIiIhMoVLBJyUlBT179tS9Xr9+PZ577jndRcifffYZvvnmG5NXkoiIiMgUKhV8bt26hQYNGuhe79u3D3369NG97tSpEx8ASERERFarUsGnQYMGSE9PBwDk5eXh999/R0BAgG75nTt3YG9vb9oaEhEREZlIpYJPnz59EBkZif379yMqKgrOzs7o2rWrbvnJkyfRokULk1eSiIiIyBQq9evsc+fOxauvvorg4GCoVCokJibCwcFBtzwuLg69e/c2eSWJiIiITKFKz/HRaDRQqVSwtbXVm3/z5k2oVCq9MPSk4XN8iIiInjyGfn9X6ojPI2q1utT5tWvXrsrqiIiIiMyiSj9SSkRERPQkYvAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA2rCj5//vknhg8fjjp16sDZ2Rnt2rXDsWPHAAA5OTlo0aIFpk6dqveejIwMuLm5YfXq1QCApKQkKBQK3L5929zVL1Pew0Ks2X8R0VtPYc3+i8h7WGjpKpmdZ+T2EhMREZG52Vm6Ao/cunULQUFB6NGjB3bu3In69evjwoULqFWrFgBApVIhPj4ePXv2xKBBg9C1a1cIITB69GgEBQVh7Nixlm1AGWJ3nMGq/ekoFP+d99GONLzd1QtR/XwtVzEzKivkeEZuR8b8/mauDRERycxqgs/HH38MDw8PxMfH6+Z5enrqlenWrRvCw8MxevRonDhxAqtWrUJKSgpOnTpl5toaJnbHGaz8Jb3E/EIB3fyaHn4qOrLD8ENEROZkNae6tm3bho4dO2LIkCGoX78+/P39sWrVqhLl5s2bB3t7ewwfPhwzZ87E0qVL0bhxYwvUuHx5Dwuxan/J0PO4VfvTa/RpL0NPZ/G0FxERmYvVBJ+LFy9i+fLlePrpp7F7926MHz8e7777LtauXatXztHREYsXL8aWLVvQvXt3DB8+3Kjt5ubmQqvV6k2msO5Qht7prdIUiqJyREREZB5WE3wKCwvRvn17zJs3D/7+/hg3bhzefvttLF++vETZNWvWwNnZGampqdBoNEZtNzY2Fmq1Wjd5eHgYtb5HLt28Z9JyREREZDyrCT4NGzaEr6/+9S6tW7fG5cuX9eZt2LAB27Ztw4EDB6BWqxEREWHUdqOioqDRaHRTZmamUet7pFltZ5OWIyIiIuNZTfAJCgrC2bNn9eb98ccfaNasme71tWvXEBYWhrlz58Lf3x8JCQlYt24ddu7cWeXtKpVKuLm56U2mMCLAEzaK8svYKIrKERERkXlYTfCJiIjAb7/9hnnz5uH8+fP4+uuv8cUXXyAsLExXZty4cWjZsqXuWT4dO3bEjBkz8M4775Q45ZWamoqUlBS9yZwc7Gzwdlevcsu83dULDnZW8xGYnKF3a/GuLiIiMheFEKKCS3DN5/vvv0dUVBTOnTsHLy8vTJ06FW+//TYAYO3atZgwYQJSUlLw9NNP696Tl5eHDh06oFOnToiLi0NSUhJ69OhR6voNaapWq4VarYZGozHJ0Z/SnuNjowCf4/P/MfQQEZEpGPr9bVXBxxqYOvgARbe2rzuUgUs376FZbWeMCPCs0Ud6SlNa+GHoISIiU2HwqaLqCD5ERERUvQz9/pbrsAMRERFJjcGHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE07CxdARl4Rm4vMS9jfn8L1MRyZO8D2dsPAHkPC7HuUAYu3byHZrWdMSLAEw528vzfi/sAkXV4IkadgoICBAYGYvDgwXrzNRoNPDw8MGvWLADAxo0b8dxzz0GtVsPV1RXPPPMM3nvvPUtUWae0wa68+TWR7H0ge/sBIHbHGbT6YCc+3J6GtYcu4cPtaWj1wU7E7jhj6aqZBfcBIuvxRAQfW1tbJCYmYteuXfjqq69088PDw1G7dm1ER0fjp59+whtvvIHXXnsNR44cwbFjx/DRRx8hLy/PYvWuaFCTYdCTvQ9kbz9QFHpW/pKOQqE/v1AAK39Jr/Hhh/sAkXVRCCFExcWsw2effYbZs2fj1KlTSE5OxpAhQ3DkyBG0a9cOU6ZMwYkTJ7B3716jtqHVaqFWq6HRaODm5lbl9VRmMKuph7tl7wPZ2w8Und5q9cHOEqHncTYK4D8f9q2Rp724DxCZj6Hf30/USBMeHo62bdti5MiReOeddxAdHY127doBANzd3XH69GmcOnWqUuvMzc2FVqvVm4jINNYdyig39ABFR37WHcowS32IiJ6o4KNQKLB8+XLs2bMHDRo0QGRkpG5ZeHg4OnXqBD8/P3h6euKNN95AXFwccnNzy11nbGws1Gq1bvLw8KjuZhBJ49LNeyYtR0RkrCcq+ABAXFwcnJ2dkZ6ejitXrujmu7i4YPv27Th//jxmzZoFlUqF9957D507d8a9e2UPqlFRUdBoNLopMzPTHM0gkkKz2s4mLUdEZKwnKvgcOnQIixYtwtatWxEQEIC33noLxS9RatGiBcaOHYvVq1fj999/x5kzZ7Bhw4Yy16lUKuHm5qY3EZFpjAjwhI2i/DI2iqJyRETm8MQEn/v372PUqFEYN24cXnzxRaxevRrJyclYuXJlme/x9PSEs7Mz7t69a8aaFjH0QsWafEGj7H0ge/sBwMHOBm939Sq3zNtdvWrkhc0A9wEia/TEjDaRkZEoLCzExx9/DABo2rQpFi5ciOnTpyMjIwOzZ8/GjBkzkJSUhPT0dBw/fhxjxoxBfn4+evXqZZE6VzSYyTDYyd4HsrcfAKL6+WJcN68SR35sFMC4bl6I6udrmYqZCfcBIuvyRNzOvm/fPvTs2RNJSUno0qWL3rKQkBA8fPgQs2bNwrJly3DkyBFcu3YNTz31FPz9/fHPf/6zxHvKY6rb2R/HJ7ayD2RvP8AnN3MfIKpehn5/PxHBx5yqI/gQERFR9aqRz/EhIiIiMgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTTsLF2B6hAaGorbt29jy5Ytlq4KAMAzcnuJeRnz+1ugJpYjex/I3n4A+ObARcz4Pk33esFLrfF6l+YWrJF5cR8gsg484lPNShvsyptfE8neB7K3Hyhq6+OhBwBmfJ8mTR9wHyCyHgw+1aiiQU2GQU/2PpC9/QD7QPb2E1kbBp9qYuhgVpMHPdn7QPb2A0Wnt0xZ7knDfYDI+kgffHJzc6HVavUmIjKN4qe3jC1HRGQs6YNPbGws1Gq1bvLw8LB0lYiIiKiaSB98oqKioNFodFNmZqalq0RERETVRPrgo1Qq4ebmpjcRkWkseKm1ScsRERmrxgYfjUaDlJQUveny5ctm276hz+eoyc/xkL0PZG8/AIOf01NTn+fDfYDI+tTY4JOUlAR/f3+9KTo62qx1qGgwk2Gwk70PZG8/wD6Qvf1E1kYhhBCWroQ10Wq1UKvV0Gg0JjvtxSe2sg9kbz/AJzdzHyCqXoZ+fzP4FFMdwYeIiIiql6Hf3zX2VBcRERFRcQw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikYWfpCsjAM3J7iXkZ8/tboCaWI3sfyN5+APj6l/OYueOs7vW8fi3xZjdvC9bIvLgPEFkHqznis3z5crRp0wZubm5wc3NDQEAAdu7cCQDIyclBixYtMHXqVL33ZGRkwM3NDatXrwYAJCUlQaFQ4Pbt2+aufplKG+zKm18Tyd4HsrcfKGrr46EHAGbuOCtNH3AfILIeVhN8mjRpgvnz5+Po0aM4evQoXnjhBQwcOBCnT5+GSqVCfHw8li5div379wMAhBAYPXo0goKCMHbsWAvXvnQVDWoyDHqy94Hs7QfYB7K3n8jaWE3wGTBgAPr16wcfHx/4+Pjgo48+gkqlwm+//QYA6NatG8LDwzF69GjcvXsXS5YsQUpKiu5oj7UxdDCryYOe7H0ge/uBotNbpiz3pOE+QGR9rCb4PK6goADr16/H3bt3ERAQoJs/b9482NvbY/jw4Zg5cyaWLl2Kxo0bG7Wt3NxcaLVavYmITKP46S1jyxERGcuqgk9qaipUKhWUSiXGjx+PzZs3w9fXV7fc0dERixcvxpYtW9C9e3cMHz7c6G3GxsZCrVbrJg8PD6PXSURERNbJqoJPy5YtkZKSgt9++w0TJkzAqFGjcObMGb0ya9asgbOzM1JTU6HRaIzeZlRUFDQajW7KzMw0ep1ERERknawq+Dg4OMDb2xsdO3ZEbGws2rZtiyVLluiWb9iwAdu2bcOBAwegVqsRERFh9DaVSqXuTrJHExGZxrx+LU1ajojIWFYVfIoTQiA3NxcAcO3aNYSFhWHu3Lnw9/dHQkIC1q1bp7vl3doY+nyOmvwcD9n7QPb2AzD4OT019Xk+3AeIrI/VBJ+ZM2di//79yMjIQGpqKv75z38iKSkJw4YNAwCMGzcOLVu21D3Lp2PHjpgxYwbeeeedEqe8UlNTkZKSojdZQkWDmQyDnex9IHv7AfaB7O0nsjYKIYSwdCUA4K233sKePXuQnZ0NtVqNNm3a4P3330evXr2wdu1aTJgwASkpKXj66ad178nLy0OHDh3QqVMnxMXFISkpCT169Ch1/YY2U6vVQq1WQ6PRmOy0F5/Yyj6Qvf0An9zMfYCoehn6/W01wcdaVEfwISIioupl6Pe31ZzqIiIiIqpuDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0GHyIiIhIGgw+REREJA0GHyIiIpIGgw8RERFJg8GHiIiIpMHgQ0RERNJg8CEiIiJpMPgQERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSsLN0BWTgGbm9xLyM+f0tUBPLkb0PZG8/ABz8z994M+Gw7vXXoc8hsFVdC9bIvLgPEFmHGnfE5/r16xg3bhyaNm0KpVIJd3d3hISE4NChQxapT2mDXXnzayLZ+0D29gNFbX089ADAmwmHpekD7gNE1qPGBZ/BgwfjxIkTSExMxB9//IFt27ahe/fuuHnzptnrUtGgJsOgJ3sfyN5+gH0ge/uJrI1CCCEsXQlTuX37Np566ikkJSUhODi4SuvQarVQq9XQaDRwc3Orcl0qM5jV1MPdsveB7O0HSp7eKktNPe3FfYDIfAz9/q5RR3xUKhVUKhW2bNmC3Nxcg96Tm5sLrVarNxGRaRgSeipTjojIWDUq+NjZ2SEhIQGJiYmoVasWgoKCMHPmTJw8ebLM98TGxkKtVusmDw8PM9aYiIiIzKlGBR+g6BqfrKwsbNu2DSEhIUhKSkL79u2RkJBQavmoqChoNBrdlJmZad4KExERkdnUuOADAI6OjujVqxeio6Nx8OBBhIaGIiYmptSySqUSbm5uehMRmcbXoc+ZtBwRkbFqZPApztfXF3fv3jXrNg29ULEmX9Aoex/I3n4ABl+wXBMvbAa4DxBZoxoVfG7cuIEXXngBX375JU6ePIn09HT8+9//xoIFCzBw4ECz16eiwUyGwU72PpC9/QD7QPb2E1mbGnU7e25uLmbPno0ffvgBFy5cQH5+Pjw8PDBkyBDMnDkTTk5OFa7DVLezP45PbGUfyN5+gE9u5j5AVL0M/f6uUcHHFKoj+BAREVH1kvI5PkRERETlYfAhIiIiaTD4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0rCzdAWszaMHWWu1WgvXhIiIiAz16Hu7oh+kYPAp5s6dOwAADw8PC9eEiIiIKuvOnTtQq9VlLudvdRVTWFiIrKwsuLq6QqFQmGy9Wq0WHh4eyMzMlPY3wGTvA9nbD7AP2H652w+wD6qz/UII3LlzB40aNYKNTdlX8vCITzE2NjZo0qRJta3fzc1Nyp39cbL3geztB9gHbL/c7QfYB9XV/vKO9DzCi5uJiIhIGgw+REREJA0GHzNRKpWIiYmBUqm0dFUsRvY+kL39APuA7Ze7/QD7wBraz4ubiYiISBo84kNERETSYPAhIiIiaTD4EBERkTQYfMwkISEBtWrVKrdMaGgoXnnlFbPUpzopFAps2bKlzOVJSUlQKBS4ffu22epkKhkZGVAoFEhJSbF0VWoUT09PLF682NLVIDMo/vdvyNj4pPriiy/g4eEBGxubGr9/VzTuWxMGnzIoFIpyp9DQUJNvc8mSJUhISDCobpbcwa5fv45x48ahadOmUCqVcHd3R0hICA4dOmTQ+wMDA5GdnV3hg6YsEQRDQ0P1Puc6deqgT58+OHnypFnrYW2M/cytlSX+zp8kK1asgKurKx4+fKibl5OTA3t7e3Tt2lWv7P79+6FQKPDHH39Ue71MPQY+/ndvb2+P5s2bY9q0abh7926V16nVajFp0iS8//77+PPPP/HOO++YrL6WUJPGAD65uQzZ2dm6f2/YsAHR0dE4e/asbp6Tk5PJt1lREMjLy4ODg4PJt1tZgwcPRn5+PhITE9G8eXNcu3YNe/bswc2bNw16v4ODA9zd3ctcXlBQYNKfC6msPn36ID4+HgBw9epVzJo1Cy+99BIuX75ssToZ6lHflfe49qow9jO3VpX9O8/Pz4e9vb3Z6meo6hobevTogZycHBw9ehTPP/88gKKA4+7ujuTkZNy7dw/Ozs4Aio7kNGrUCD4+Piavhzk8+rvPz8/H/v37MXbsWNy9exfLly+v1HqEECgoKMDly5eRn5+P/v37o2HDhtVUa/OpUWOAoArFx8cLtVpdYbmUlBTRvXt3oVKphKurq2jfvr1ITk7WW8euXbtEq1athIuLiwgJCRFZWVm6948aNUoMHDhQ9zo4OFiEhYWJiIgIUadOHdGtWzfRrFkzAUA3NWvWzMStLd+tW7cEAJGUlFRmGQBi1apV4pVXXhFOTk7C29tbbN26Vbd87969AoC4deuWEOK/ffPdd9+J1q1bC1tbWzFy5Ei9dgIQe/furebWlfwMhBDil19+EQDE9evXRXp6ugAgjh8/LoQQ4uHDh2LMmDHC09NTODo6Ch8fH7F48WK99xdvx+Of26hRo0pd/qitubm5Yvr06aJRo0bC2dlZdO7cWa8fSuu7ixcvmrRPDPnML126JF5++WXh4uIiXF1dxZAhQ8TVq1f1ymzdulV06NBBKJVKUadOHTFo0CDdsmbNmolFixbpXsfFxQk3Nzfxww8/CCGE+Pe//y2effZZ4ejoKGrXri169uwpcnJyTNrO4n/njz7rDRs2iODgYKFUKkVcXJwoKCgQc+bMEY0bNxYODg6ibdu2YufOnbr3Fd+/hRDi+PHjAoBIT08XQgiRkZEhXnrpJVGrVi3h7OwsfH19xfbt23XlT58+Lfr27StcXFxE/fr1xfDhw8Vff/2lW17a2CCEEDExMcLDw0M4ODiIhg0bivDwcKP7pVGjRiI2Nlb3esaMGSIsLEz4+vqKH3/8UTf/hRdeEMOGDRPr1q0THTp0ECqVSjRo0EAMHTpUXLt2rcz+KW183bZtm2jfvr1QKpXCy8tLzJ49W+Tn5wshRLWMgaX93Y8dO1a4u7uLwsJC8fHHHwsvLy/h6Ogo2rRpI/7973+XaM+uXbtEhw4dhL29vYiLiyvxN52enl7qdiZPniyCg4N1r4ODg8WkSZPE5MmTRa1atUT9+vXFypUrRU5OjggNDRUqlUo0b95c7NixQ289Fe0zxjDFuC+EEElJSaJTp07CwcFBuLu7i/fff1/3uQohKuzrmzdvijfffFPUrVtXODo6Cm9vbxEXF1fp9vBUlwkNGzYMTZo0QXJyMo4dO4bIyEi9/x3eu3cPn3zyCdatW4dffvkFly9fxrRp08pdZ2JiIuzs7PDrr79i5cqVSE5OBgDEx8cjOztb99pcVCoVVCoVtmzZgtzc3DLLzZkzB6+//jpOnjyJfv36YdiwYeX+z+DevXuIjY3F6tWrcfr0aXz22Wd4/fXX0adPH2RnZyM7OxuBgYHV0aRy5eTk4KuvvoK3tzfq1KlTYnlhYSGaNGmCb775BmfOnEF0dDRmzpyJb775RlfmUf2zs7Nx/vx5eHt7o1u3bgCKTm8+vnzy5MmoX78+WrVqBQAYPXo0fv31V6xfvx4nT57EkCFD0KdPH5w7d063/uJ9V79+fZP2QUWfuRACr7zyCm7evIl9+/bhxx9/xIULF/CPf/xDV2b79u149dVX0b9/fxw/fhx79uxBx44dS93eJ598gmnTpmH37t3o1asXsrOzMXToUIwZMwZpaWlISkrCq6++CmGmR5C9//77ePfdd5GWloaQkBAsWbIECxcuxCeffIKTJ08iJCQEL7/8st5nUpGwsDDk5ubil19+QWpqKj7++GOoVCoARftLcHAw2rVrh6NHj2LXrl24du0aXn/9db11FB8bvv32WyxatAgrV67EuXPnsGXLFvj5+Rnd/u7du2Pv3r2613v37kX37t0RHBysm5+Xl4dDhw6hR48eyMvLw4cffogTJ05gy5YtSE9Pr9Qpw927d2P48OF49913cebMGaxcuRIJCQn46KOPAMBsY6CTkxPy8/Mxa9YsxMfHY/ny5Th9+jQiIiIwfPhw7Nu3T6/8jBkzEBsbi7S0NPTu3Rs//fQTAODIkSPIzs6Gh4eHwdtOTExE3bp1ceTIEYSHh2PChAkYMmQIAgMD8fvvvyMkJAQjRozAvXv3ABi+z1SVKcb9P//8E/369UOnTp1w4sQJLF++HGvWrMHcuXN176+orz/44AOcOXMGO3fuRFpaGpYvX466detWvkGVjkoSMvSIj6urq0hISChzHQDE+fPndfOWLVsmGjRooHtd2hGfdu3alVgXALF582aD629q3377rXjqqaeEo6OjCAwMFFFRUeLEiRN69Zs1a5budU5OjlAoFLr/FZf2Pz4AIiUlRW87pf3vqLqNGjVK2NraChcXF+Hi4iIAiIYNG4pjx44JIUSJIz6lmThxohg8eHCJ+YWFhWLQoEGiQ4cO4t69eyWWb9y4USiVSrF//34hhBDnz58XCoVC/Pnnn3rlevbsKaKiooQQZfedqZX3mf/www/C1tZWXL58WVf+9OnTAoA4cuSIEEKIgIAAMWzYsDLX/+iIT2RkpGjYsKE4efKkbtmxY8cEAJGRkVFNrStS1hGf4kfwGjVqJD766CO9eZ06dRITJ04UQhh2xMfPz0/Mnj271Hp88MEHonfv3nrzMjMzBQBx9uxZIUTpY8PChQuFj4+PyMvLM7jNhvjiiy+Ei4uLyM/PF1qtVtjZ2Ylr166J9evXi8DAQCGEEPv27RMAxIULF0q8/8iRIwKAuHPnjhCi4iM+Xbt2FfPmzdNbx7p160TDhg11r009BhYfaw4fPizq1KkjXnvtNeHo6CgOHjyoV/6tt94SQ4cO1WvPli1b9MoU/8xL244QpR/x6dKli+71w4cPhYuLixgxYoRuXnZ2tgAgDh06JIQwbJ8xlrHj/syZM0XLli1FYWGhrsyyZcuESqUSBQUFIicnp8K+HjBggBg9erTRbeERnyp6lIBVKhXGjx8PAJg6dSrGjh2LF198EfPnz8eFCxf03uPs7IwWLVroXjds2BDXr18vdztl/a/YkgYPHoysrCxs27YNISEhSEpKQvv27fUuzG7Tpo3u3y4uLnB1dS23rQ4ODnrvsaQePXogJSUFKSkpOHz4MHr37o2+ffvi0qVLpZZfsWIFOnbsiHr16kGlUmHVqlWlXg80c+ZMHDp0CFu2bClx7cjx48cxcuRILFu2DF26dAEA/P777xBCwMfHR29/27dvn96+ZY6+K+8zT0tLg4eHh97/aH19fVGrVi2kpaUBAFJSUtCzZ89yt7Fw4UKsXLkSBw4c0DtS0bZtW/Ts2RN+fn4YMmQIVq1ahVu3blVPQ0vx+N+gVqtFVlYWgoKC9MoEBQXp2mqId999F3PnzkVQUBBiYmL0Lp4/duwY9u7dq/eZPzoC+PjnXnxsGDJkCO7fv4/mzZvj7bffxubNm/UuSq6qHj164O7du0hOTsb+/fvh4+OD+vXrIzg4GMnJybh79y6SkpLQtGlTNG/eHMePH8fAgQPRrFkzuLq6onv37gBg8DVyx44dw//8z//otf/tt99Gdna27ghHdfj++++hUqng6OiIgIAAdOvWDdOmTcODBw/Qq1cvvfqsXbu2xPhuyrH68b9nW1tb1KlTR+9vokGDBgCgG1MN3WeMYey4n5aWhoCAAL3rN4OCgpCTk4MrV67gzJkzFfb1hAkTsH79erRr1w4zZszAwYMHq9QWBp8qevTFmJKSgv/5n/8BAMyePRunT59G//798fPPP8PX1xebN2/Wvaf4RZEKhaLCw/UuLi6mr7wJODo6olevXoiOjsbBgwcRGhqKmJgY3fLS2lpYWFjm+pycnCx6QfPjXFxc4O3tDW9vb3Tu3Blr1qzB3bt3sWrVqhJlv/nmG0RERGDMmDH44YcfkJKSgtGjRyMvL0+v3JdffolFixZh8+bNaNKkid6yq1ev4uWXX8Zbb72Ft956Sze/sLAQtra2OHbsmN7+lpaWhiVLlujKmavvyvrMhRClbv/x+YbcDNC1a1cUFBTonSYEigb+H3/8ETt37oSvry+WLl2Kli1bIj093TQNq0Bpf4PF2/t4Wx9dWP7433Z+fr5e+bFjx+LixYsYMWIEUlNT0bFjRyxduhRA0ec+YMAAvc88JSUF586d050iLa1eHh4eOHv2LJYtWwYnJydMnDgR3bp1K7HtyvL29kaTJk2wd+9e7N27F8HBwQAAd3d3eHl54ddff8XevXvxwgsv4O7du+jduzdUKhW+/PJLJCcn68bA4n8TZSksLMScOXP02p6amopz587B0dHRqLaU59F/eM6ePYsHDx5g06ZNumXbt2/Xq8+ZM2fw7bff6r3fkLHaxsamxJhf2udT2vj5+LxH+9qjMdXQfcZYxoz7pY0Tj/ri8XLl9fWj/4BOmTIFWVlZ6NmzZ4WXi5SGd3VVkbe3d6nzfXx84OPjg4iICAwdOhTx8fEYNGiQSbdtb2+PgoICk67TWL6+via/xd7BwcEq2vnoLqn79++XWLZ//34EBgZi4sSJunnF/4d16NAhjB07FitXrtTdGfPIgwcPMHDgQLRq1Qqffvqp3jJ/f38UFBTg+vXrJW4dtgaPPnNfX19cvnwZmZmZuqM+Z86cgUajQevWrQEU/U9wz549GD16dJnr69y5M8LDwxESEgJbW1tMnz5dt0yhUCAoKAhBQUGIjo5Gs2bNsHnzZkydOrV6G1mMm5sbGjVqhAMHDuh9oRw8eBCdO3cGANSrVw9A0XUXTz31FACU+twnDw8PjB8/HuPHj0dUVBRWrVqF8PBwtG/fHhs3boSnpyfs7Co3RDs5OeHll1/Gyy+/jLCwMLRq1Qqpqalo3759FVtcpEePHkhKSsKtW7f0Ppfg4GDs3r0bv/32G0aPHo3//Oc/+PvvvzF//nzdvnD06NFKbat9+/Y4e/ZsmWMsUD1j4KP/8DzO19cXSqUSly9f1gU+Y9SrVw+nTp3Sm5eSkmL0nYLG7DPGqMy47+vri40bN+oFoIMHD8LV1RWNGzdGrVq1DOrrevXqITQ0FKGhoejatSumT5+OTz75pFL1ZvAxkfv372P69Ol47bXX4OXlhStXriA5ORmDBw82+bY8PT2xZ88eBAUFQalU6gZXc7hx4waGDBmCMWPGoE2bNnB1dcXRo0exYMECDBw40KTb8vT0xO7du3H27FnUqVMHarXaLLcS5+bm4urVqwCAW7du4X//93+Rk5ODAQMGlCjr7e2NtWvXYvfu3fDy8sK6deuQnJwMLy8vAEVHcwYNGoQ33ngDISEhuvXa2tqiXr16GDduHDIzM7Fnzx789ddfuvXWrl0bPj4+GDZsGEaOHImFCxfC398ff//9N37++Wf4+fmhX79+1d4XQMWf+Ysvvog2bdpg2LBhWLx4MR4+fIiJEyciODhYd/g/JiYGPXv2RIsWLfDGG2/g4cOH2LlzJ2bMmKG3rYCAAOzcuRN9+vSBnZ0dIiIicPjwYezZswe9e/dG/fr1cfjwYfz111+6UGVu06dPR0xMDFq0aIF27dohPj4eKSkp+OqrrwAU7RMeHh6YPXs25s6di3PnzmHhwoV665gyZQr69u0LHx8f3Lp1Cz///LOuPWFhYVi1ahWGDh2K6dOno27dujh//jzWr1+PVatWwdbWttR6JSQkoKCgAM899xycnZ2xbt06ODk5oVmzZka3uUePHggLC0N+fr7el1JwcDAmTJiABw8eoEePHnB0dISDgwOWLl2K8ePH49SpU/jwww8rta3o6Gi89NJL8PDwwJAhQ2BjY4OTJ08iNTVVdyGsucZAV1dXTJs2DRERESgsLESXLl2g1Wpx8OBBqFQqjBo1qlLre+GFF/Cvf/0La9euRUBAAL788kucOnUK/v7+RtWzqvuMoUwx7k+cOBGLFy9GeHg4Jk2ahLNnzyImJgZTp06FjY2NQX0dHR2NDh064JlnnkFubi6+//77qo0DRl8lJAFDLm7Ozc0Vb7zxhu5W0kaNGolJkyaJ+/fvl7mOzZs3i8c/gtIubp48eXKJbW3btk14e3sLOzs7s9/O/uDBAxEZGSnat28v1Gq1cHZ2Fi1bthSzZs3SXbCLUi48VKvVIj4+Xghh2O2sQghx/fp10atXL6FSqcx6OzseuwXV1dVVdOrUSXz77bdCiJIXNz948ECEhoYKtVotatWqJSZMmCAiIyNF27Zt9dpafHr0uRW/NffR9KiteXl5Ijo6Wnh6egp7e3vh7u4uBg0apLv419AL741hyGduyO3sGzduFO3atRMODg6ibt264tVXX9UtK347+759+4SLi4tYsmSJOHPmjAgJCRH16tUTSqVS+Pj4iKVLl5q8nWVd3Fz8QvbHb2e3t7cvcTu7EEIcOHBA+Pn5CUdHR9G1a1fx73//W+9C10mTJokWLVoIpVIp6tWrJ0aMGCH+/vtv3fv/+OMPMWjQIFGrVi3h5OQkWrVqJaZMmaK7MLS0sWHz5s3iueeeE25ubsLFxUU8//zz4qeffjJJ3zzqi1atWunNf3QBbYsWLXTzvv76a+Hp6SmUSqUICAgQ27Zt0+tHQ/7+d+3aJQIDA4WTk5Nwc3MTnTt3Fl988YVuuanHwPJupCgsLBRLliwRLVu2FPb29qJevXoiJCRE7Nu3r9T2PFLaxc1CCBEdHS0aNGgg1Gq1iIiIEJMmTSpxcXPxz7b434cQJcfZivYZY5hi3BfCsNvZy+vrDz/8ULRu3Vo4OTmJ2rVri4EDB1bp8R2K/19hIiIiohqPFzcTERGRNBh8iIiISBoMPkRERCQNBh8iIiKSBoMPERERSYPBh4iIiKTB4ENERETSYPAhIiIiaTD4EJHFXL16FeHh4WjevDmUSiU8PDwwYMAA7Nmzx6D3JyQkoFatWtVbSSKqUfhbXURkERkZGQgKCkKtWrWwYMECtGnTBvn5+di9ezfCwsLwn//8x9JVrLT8/Hyz/J4cEVUdj/gQkUVMnDgRCoUCR44cwWuvvQYfHx8888wzmDp1Kn777TcAwKeffgo/Pz+4uLjAw8MDEydORE5ODgAgKSkJo0ePhkajgUKhgEKhwOzZswEAeXl5mDFjBho3bgwXFxc899xzSEpK0tv+qlWr4OHhAWdnZwwaNAiffvppiaNHy5cvR4sWLeDg4ICWLVti3bp1essVCgVWrFiBgQMHwsXFBXPnzoW3t3eJX4s+deoUbGxscOHCBdN1IBFVTaV/3YuIyEg3btwQCoVCzJs3r9xyixYtEj///LO4ePGi2LNnj2jZsqWYMGGCEKLoh4EXL14s3NzcRHZ2tsjOzhZ37twRQgjx5ptvisDAQPHLL7+I8+fPi3/9619CqVSKP/74QwhR9COiNjY24l//+pc4e/asWLZsmahdu7bej2Vu2rRJ2Nvbi2XLlomzZ8+KhQsXCltbW/Hzzz/rygAQ9evXF2vWrBEXLlwQGRkZ4qOPPhK+vr567YiIiBDdunUzRdcRkZEYfIjI7A4fPiwAiE2bNlXqfd98842oU6eO7nVpv+x9/vx5oVAoxJ9//qk3v2fPniIqKkoIIcQ//vEP0b9/f73lw4YN01tXYGCgePvtt/XKDBkyRPTr10/3GoCYMmWKXpmsrCxha2srDh8+LIQQIi8vT9SrV08kJCRUqq1EVD14qouIzE4IAaDoVFF59u7di169eqFx48ZwdXXFyJEjcePGDdy9e7fM9/z+++8QQsDHxwcqlUo37du3T3eq6ezZs+jcubPe+4q/TktLQ1BQkN68oKAgpKWl6c3r2LGj3uuGDRuif//+iIuLAwB8//33ePDgAYYMGVJuW4nIPBh8iMjsnn76aSgUihIh4nGXLl1Cv3798Oyzz2Ljxo04duwYli1bBqDoIuKyFBYWwtbWFseOHUNKSopuSktLw5IlSwAUBa/ioetRGHtcaWWKz3NxcSnxvrFjx2L9+vW4f/8+4uPj8Y9//APOzs5l1pmIzIfBh4jMrnbt2ggJCcGyZctKPXpz+/ZtHD16FA8fPsTChQvx/PPPw8fHB1lZWXrlHBwcUFBQoDfP398fBQUFuH79Ory9vfUmd3d3AECrVq1w5MgRvfcdPXpU73Xr1q1x4MABvXkHDx5E69atK2xfv3794OLiguXLl2Pnzp0YM2ZMhe8hIvNg8CEii/j8889RUFCAzp07Y+PGjTh37hzS0tLw2WefISAgAC1atMDDhw+xdOlSXLx4EevWrcOKFSv01uHp6YmcnBzs2bMHf//9N+7duwcfHx8MGzYMI0eOxKZNm5Ceno7k5GR8/PHH2LFjBwAgPDwcO3bswKeffopz585h5cqV2Llzp97RnOnTpyMhIQErVqzAuXPn8Omnn2LTpk2YNm1ahW2ztbVFaGgooqKi4O3tjYCAANN2HhFVnUWvMCIiqWVlZYmwsDDRrFkz4eDgIBo3bixefvllsXfvXiGEEJ9++qlo2LChcHJyEiEhIWLt2rUCgLh165ZuHePHjxd16tQRAERMTIwQouiC4ujoaOHp6Sns7e2Fu7u7GDRokDh58qTufV988YVo3LixcHJyEq+88oqYO3eucHd316vf559/Lpo3by7s7e2Fj4+PWLt2rd5yAGLz5s2ltu3ChQsCgFiwYIHR/UREpqMQopQT20REknn77bfxn//8B/v37zfJ+n799Vd0794dV65cQYMGDUyyTiIyHp/cTERS+uSTT9CrVy+4uLhg586dSExMxOeff270enNzc5GZmYkPPvgAr7/+OkMPkZXhNT5EJKUjR46gV69e8PPzw4oVK/DZZ59h7NixRq/3//7v/9CyZUtoNBosWLDABDUlIlPiqS4iIiKSBo/4EBERkTQYfIiIiEgaDD5EREQkDQYfIiIikgaDDxEREUmDwYeIiIikweBDRERE0mDwISIiImkw+BAREZE0/h82tiPL9PyH1QAAAABJRU5ErkJggg==",
      "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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "59c79c7d",
   "metadata": {},
   "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",
    "ax = 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",
    "\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container,)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "3e720f95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "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",
    "ax = sns.countplot(data=df[df['ship-state'].isin(top_10_state.index)],x='ship-state')\n",
    "plt.xlabel('ship-state')\n",
    "plt.ylabel('count')\n",
    "plt.title('Distribution of State')\n",
    "plt.xticks(rotation=45)\n",
    "for container in ax.containers:\n",
    "    ax.bar_label(container)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3af70144",
   "metadata": {},
   "source": [
    "Note: From above you can see that most of the buyers are Maharashtra state"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e78a2dce",
   "metadata": {},
   "source": [
    "# Conclusion:-"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f68d0e99",
   "metadata": {},
   "source": [
    "The Data Analysis reveals that the business has a significant customer base in Maharashtra state,mainly serves retailers, fulfills orders through Amazon, experience high demand for T-shirts, and sees M-Size as the preferred choice among buyers."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77623736",
   "metadata": {},
   "source": [
    "# Thank you"
   ]
  }
 ],
 "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": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}