Task4 spark foundation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suyash Pratap Singh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task :4  - > To explore Business Analytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading the Samplesuperstore dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r'C:\\Users\\Admin\\Desktop\\SampleSuperstore.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Print Random Nine row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Ship Mode</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5947</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>United States</td>\n",
       "      <td>Des Moines</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>50315</td>\n",
       "      <td>Central</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders</td>\n",
       "      <td>25.900</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.6910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>United States</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>California</td>\n",
       "      <td>90008</td>\n",
       "      <td>West</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>99.390</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.7499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3678</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>20735</td>\n",
       "      <td>East</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Machines</td>\n",
       "      <td>464.970</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>209.2365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6994</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Hampton</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>23666</td>\n",
       "      <td>South</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Art</td>\n",
       "      <td>27.900</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.9750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7540</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>United States</td>\n",
       "      <td>Denver</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>80219</td>\n",
       "      <td>West</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>242.352</td>\n",
       "      <td>8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>-363.5280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4772</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>60610</td>\n",
       "      <td>Central</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>6.464</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-4.0400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>856</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>10035</td>\n",
       "      <td>East</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Supplies</td>\n",
       "      <td>102.300</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.5980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7130</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Nashville</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>37211</td>\n",
       "      <td>South</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Paper</td>\n",
       "      <td>123.088</td>\n",
       "      <td>7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>40.0036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6466</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>California</td>\n",
       "      <td>90008</td>\n",
       "      <td>West</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>68.460</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.3302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Ship Mode      Segment        Country           City       State  \\\n",
       "5947    Second Class  Home Office  United States     Des Moines        Iowa   \n",
       "1910  Standard Class    Corporate  United States    Los Angeles  California   \n",
       "3678  Standard Class     Consumer  United States        Clinton    Maryland   \n",
       "6994    Second Class     Consumer  United States        Hampton    Virginia   \n",
       "7540  Standard Class    Corporate  United States         Denver    Colorado   \n",
       "4772  Standard Class     Consumer  United States        Chicago    Illinois   \n",
       "856   Standard Class     Consumer  United States  New York City    New York   \n",
       "7130  Standard Class     Consumer  United States      Nashville   Tennessee   \n",
       "6466    Second Class     Consumer  United States    Los Angeles  California   \n",
       "\n",
       "      Postal Code   Region         Category Sub-Category    Sales  Quantity  \\\n",
       "5947        50315  Central  Office Supplies      Binders   25.900         5   \n",
       "1910        90008     West       Technology  Accessories   99.390         3   \n",
       "3678        20735     East       Technology     Machines  464.970         3   \n",
       "6994        23666    South  Office Supplies          Art   27.900         5   \n",
       "7540        80219     West        Furniture    Bookcases  242.352         8   \n",
       "4772        60610  Central        Furniture  Furnishings    6.464         1   \n",
       "856         10035     East  Office Supplies     Supplies  102.300        10   \n",
       "7130        37211    South  Office Supplies        Paper  123.088         7   \n",
       "6466        90008     West       Technology  Accessories   68.460         7   \n",
       "\n",
       "      Discount    Profit  \n",
       "5947       0.0   12.6910  \n",
       "1910       0.0   40.7499  \n",
       "3678       0.0  209.2365  \n",
       "6994       0.0    6.9750  \n",
       "7540       0.7 -363.5280  \n",
       "4772       0.6   -4.0400  \n",
       "856        0.0   26.5980  \n",
       "7130       0.2   40.0036  \n",
       "6466       0.0   25.3302  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# print Last five row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Ship Mode</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9989</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33180</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>25.248</td>\n",
       "      <td>3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4.1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9990</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>91.960</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.6332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9991</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>258.576</td>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>19.3932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9992</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Paper</td>\n",
       "      <td>29.600</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9993</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Westminster</td>\n",
       "      <td>California</td>\n",
       "      <td>92683</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>243.160</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.9480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Ship Mode   Segment        Country         City       State  \\\n",
       "9989    Second Class  Consumer  United States        Miami     Florida   \n",
       "9990  Standard Class  Consumer  United States   Costa Mesa  California   \n",
       "9991  Standard Class  Consumer  United States   Costa Mesa  California   \n",
       "9992  Standard Class  Consumer  United States   Costa Mesa  California   \n",
       "9993    Second Class  Consumer  United States  Westminster  California   \n",
       "\n",
       "      Postal Code Region         Category Sub-Category    Sales  Quantity  \\\n",
       "9989        33180  South        Furniture  Furnishings   25.248         3   \n",
       "9990        92627   West        Furniture  Furnishings   91.960         2   \n",
       "9991        92627   West       Technology       Phones  258.576         2   \n",
       "9992        92627   West  Office Supplies        Paper   29.600         4   \n",
       "9993        92683   West  Office Supplies   Appliances  243.160         2   \n",
       "\n",
       "      Discount   Profit  \n",
       "9989       0.2   4.1028  \n",
       "9990       0.0  15.6332  \n",
       "9991       0.2  19.3932  \n",
       "9992       0.0  13.3200  \n",
       "9993       0.0  72.9480  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Properties and Shape of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9994 entries, 0 to 9993\n",
      "Data columns (total 13 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Ship Mode     9994 non-null   object \n",
      " 1   Segment       9994 non-null   object \n",
      " 2   Country       9994 non-null   object \n",
      " 3   City          9994 non-null   object \n",
      " 4   State         9994 non-null   object \n",
      " 5   Postal Code   9994 non-null   int64  \n",
      " 6   Region        9994 non-null   object \n",
      " 7   Category      9994 non-null   object \n",
      " 8   Sub-Category  9994 non-null   object \n",
      " 9   Sales         9994 non-null   float64\n",
      " 10  Quantity      9994 non-null   int64  \n",
      " 11  Discount      9994 non-null   float64\n",
      " 12  Profit        9994 non-null   float64\n",
      "dtypes: float64(3), int64(2), object(8)\n",
      "memory usage: 1015.1+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(df.info())             #full summary of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Postal Code         Sales     Quantity     Discount       Profit\n",
      "count   9994.000000   9994.000000  9994.000000  9994.000000  9994.000000\n",
      "mean   55190.379428    229.858001     3.789574     0.156203    28.656896\n",
      "std    32063.693350    623.245101     2.225110     0.206452   234.260108\n",
      "min     1040.000000      0.444000     1.000000     0.000000 -6599.978000\n",
      "25%    23223.000000     17.280000     2.000000     0.000000     1.728750\n",
      "50%    56430.500000     54.490000     3.000000     0.200000     8.666500\n",
      "75%    90008.000000    209.940000     5.000000     0.200000    29.364000\n",
      "max    99301.000000  22638.480000    14.000000     0.800000  8399.976000\n"
     ]
    }
   ],
   "source": [
    "print(df.describe())    #statistical details of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9994, 13)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)      #shape of dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check the data for any null values, count the number of null values in each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ship Mode       0\n",
       "Segment         0\n",
       "Country         0\n",
       "City            0\n",
       "State           0\n",
       "Postal Code     0\n",
       "Region          0\n",
       "Category        0\n",
       "Sub-Category    0\n",
       "Sales           0\n",
       "Quantity        0\n",
       "Discount        0\n",
       "Profit          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total number of null values =  0\n"
     ]
    }
   ],
   "source": [
    "print(\"total number of null values = \",df.isnull().sum().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ship Mode        object\n",
       "Segment          object\n",
       "Country          object\n",
       "City             object\n",
       "State            object\n",
       "Postal Code       int64\n",
       "Region           object\n",
       "Category         object\n",
       "Sub-Category     object\n",
       "Sales           float64\n",
       "Quantity          int64\n",
       "Discount        float64\n",
       "Profit          float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check the dataset for duplicate and dropping element"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ship Mode</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>42420</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>261.9600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>41.9136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>42420</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Chairs</td>\n",
       "      <td>731.9400</td>\n",
       "      <td>3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>219.5820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>United States</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>California</td>\n",
       "      <td>90036</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Labels</td>\n",
       "      <td>14.6200</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.8714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33311</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Tables</td>\n",
       "      <td>957.5775</td>\n",
       "      <td>5</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-383.0310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33311</td>\n",
       "      <td>South</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Storage</td>\n",
       "      <td>22.3680</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "      <td>2.5164</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9989</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33180</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>25.2480</td>\n",
       "      <td>3</td>\n",
       "      <td>0.20</td>\n",
       "      <td>4.1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9990</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>91.9600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.6332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9991</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>258.5760</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "      <td>19.3932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9992</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Paper</td>\n",
       "      <td>29.6000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9993</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Westminster</td>\n",
       "      <td>California</td>\n",
       "      <td>92683</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>243.1600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>72.9480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9977 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Ship Mode    Segment        Country             City       State  \\\n",
       "0       Second Class   Consumer  United States        Henderson    Kentucky   \n",
       "1       Second Class   Consumer  United States        Henderson    Kentucky   \n",
       "2       Second Class  Corporate  United States      Los Angeles  California   \n",
       "3     Standard Class   Consumer  United States  Fort Lauderdale     Florida   \n",
       "4     Standard Class   Consumer  United States  Fort Lauderdale     Florida   \n",
       "...              ...        ...            ...              ...         ...   \n",
       "9989    Second Class   Consumer  United States            Miami     Florida   \n",
       "9990  Standard Class   Consumer  United States       Costa Mesa  California   \n",
       "9991  Standard Class   Consumer  United States       Costa Mesa  California   \n",
       "9992  Standard Class   Consumer  United States       Costa Mesa  California   \n",
       "9993    Second Class   Consumer  United States      Westminster  California   \n",
       "\n",
       "      Postal Code Region         Category Sub-Category     Sales  Quantity  \\\n",
       "0           42420  South        Furniture    Bookcases  261.9600         2   \n",
       "1           42420  South        Furniture       Chairs  731.9400         3   \n",
       "2           90036   West  Office Supplies       Labels   14.6200         2   \n",
       "3           33311  South        Furniture       Tables  957.5775         5   \n",
       "4           33311  South  Office Supplies      Storage   22.3680         2   \n",
       "...           ...    ...              ...          ...       ...       ...   \n",
       "9989        33180  South        Furniture  Furnishings   25.2480         3   \n",
       "9990        92627   West        Furniture  Furnishings   91.9600         2   \n",
       "9991        92627   West       Technology       Phones  258.5760         2   \n",
       "9992        92627   West  Office Supplies        Paper   29.6000         4   \n",
       "9993        92683   West  Office Supplies   Appliances  243.1600         2   \n",
       "\n",
       "      Discount    Profit  \n",
       "0         0.00   41.9136  \n",
       "1         0.00  219.5820  \n",
       "2         0.00    6.8714  \n",
       "3         0.45 -383.0310  \n",
       "4         0.20    2.5164  \n",
       "...        ...       ...  \n",
       "9989      0.20    4.1028  \n",
       "9990      0.00   15.6332  \n",
       "9991      0.20   19.3932  \n",
       "9992      0.00   13.3200  \n",
       "9993      0.00   72.9480  \n",
       "\n",
       "[9977 rows x 13 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function return Series with number of distinct observations over requested axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ship Mode          4\n",
       "Segment            3\n",
       "Country            1\n",
       "City             531\n",
       "State             49\n",
       "Postal Code      631\n",
       "Region             4\n",
       "Category           3\n",
       "Sub-Category      17\n",
       "Sales           5825\n",
       "Quantity          14\n",
       "Discount          12\n",
       "Profit          7287\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Removing unwanted variables in a dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "super_store = df.drop(['Postal Code'], axis=1)\n",
    "super_store = df.drop(['Country'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ship Mode</th>\n",
       "      <th>Segment</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Category</th>\n",
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       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>42420</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Second Class</td>\n",
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       "      <td>Kentucky</td>\n",
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       "      <td>731.9400</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>219.5820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>California</td>\n",
       "      <td>90036</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Labels</td>\n",
       "      <td>14.6200</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.8714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33311</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Tables</td>\n",
       "      <td>957.5775</td>\n",
       "      <td>5</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-383.0310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33311</td>\n",
       "      <td>South</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Storage</td>\n",
       "      <td>22.3680</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "      <td>2.5164</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9989</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Florida</td>\n",
       "      <td>33180</td>\n",
       "      <td>South</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>25.2480</td>\n",
       "      <td>3</td>\n",
       "      <td>0.20</td>\n",
       "      <td>4.1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9990</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>91.9600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.6332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9991</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>258.5760</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "      <td>19.3932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9992</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>California</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Paper</td>\n",
       "      <td>29.6000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9993</th>\n",
       "      <td>Second Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Westminster</td>\n",
       "      <td>California</td>\n",
       "      <td>92683</td>\n",
       "      <td>West</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>243.1600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>72.9480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9994 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Ship Mode    Segment             City       State  Postal Code  \\\n",
       "0       Second Class   Consumer        Henderson    Kentucky        42420   \n",
       "1       Second Class   Consumer        Henderson    Kentucky        42420   \n",
       "2       Second Class  Corporate      Los Angeles  California        90036   \n",
       "3     Standard Class   Consumer  Fort Lauderdale     Florida        33311   \n",
       "4     Standard Class   Consumer  Fort Lauderdale     Florida        33311   \n",
       "...              ...        ...              ...         ...          ...   \n",
       "9989    Second Class   Consumer            Miami     Florida        33180   \n",
       "9990  Standard Class   Consumer       Costa Mesa  California        92627   \n",
       "9991  Standard Class   Consumer       Costa Mesa  California        92627   \n",
       "9992  Standard Class   Consumer       Costa Mesa  California        92627   \n",
       "9993    Second Class   Consumer      Westminster  California        92683   \n",
       "\n",
       "     Region         Category Sub-Category     Sales  Quantity  Discount  \\\n",
       "0     South        Furniture    Bookcases  261.9600         2      0.00   \n",
       "1     South        Furniture       Chairs  731.9400         3      0.00   \n",
       "2      West  Office Supplies       Labels   14.6200         2      0.00   \n",
       "3     South        Furniture       Tables  957.5775         5      0.45   \n",
       "4     South  Office Supplies      Storage   22.3680         2      0.20   \n",
       "...     ...              ...          ...       ...       ...       ...   \n",
       "9989  South        Furniture  Furnishings   25.2480         3      0.20   \n",
       "9990   West        Furniture  Furnishings   91.9600         2      0.00   \n",
       "9991   West       Technology       Phones  258.5760         2      0.20   \n",
       "9992   West  Office Supplies        Paper   29.6000         4      0.00   \n",
       "9993   West  Office Supplies   Appliances  243.1600         2      0.00   \n",
       "\n",
       "        Profit  \n",
       "0      41.9136  \n",
       "1     219.5820  \n",
       "2       6.8714  \n",
       "3    -383.0310  \n",
       "4       2.5164  \n",
       "...        ...  \n",
       "9989    4.1028  \n",
       "9990   15.6332  \n",
       "9991   19.3932  \n",
       "9992   13.3200  \n",
       "9993   72.9480  \n",
       "\n",
       "[9994 rows x 12 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "super_store"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistics and analysisng the correlations in the given dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>Postal Code</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9994.000000</td>\n",
       "      <td>9994.000000</td>\n",
       "      <td>9994.000000</td>\n",
       "      <td>9994.000000</td>\n",
       "      <td>9994.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>55190.379428</td>\n",
       "      <td>229.858001</td>\n",
       "      <td>3.789574</td>\n",
       "      <td>0.156203</td>\n",
       "      <td>28.656896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>32063.693350</td>\n",
       "      <td>623.245101</td>\n",
       "      <td>2.225110</td>\n",
       "      <td>0.206452</td>\n",
       "      <td>234.260108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1040.000000</td>\n",
       "      <td>0.444000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6599.978000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>23223.000000</td>\n",
       "      <td>17.280000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.728750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>56430.500000</td>\n",
       "      <td>54.490000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>8.666500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>90008.000000</td>\n",
       "      <td>209.940000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>29.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99301.000000</td>\n",
       "      <td>22638.480000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>8399.976000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Postal Code         Sales     Quantity     Discount       Profit\n",
       "count   9994.000000   9994.000000  9994.000000  9994.000000  9994.000000\n",
       "mean   55190.379428    229.858001     3.789574     0.156203    28.656896\n",
       "std    32063.693350    623.245101     2.225110     0.206452   234.260108\n",
       "min     1040.000000      0.444000     1.000000     0.000000 -6599.978000\n",
       "25%    23223.000000     17.280000     2.000000     0.000000     1.728750\n",
       "50%    56430.500000     54.490000     3.000000     0.200000     8.666500\n",
       "75%    90008.000000    209.940000     5.000000     0.200000    29.364000\n",
       "max    99301.000000  22638.480000    14.000000     0.800000  8399.976000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "super_store.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9994 entries, 0 to 9993\n",
      "Data columns (total 12 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Ship Mode     9994 non-null   object \n",
      " 1   Segment       9994 non-null   object \n",
      " 2   City          9994 non-null   object \n",
      " 3   State         9994 non-null   object \n",
      " 4   Postal Code   9994 non-null   int64  \n",
      " 5   Region        9994 non-null   object \n",
      " 6   Category      9994 non-null   object \n",
      " 7   Sub-Category  9994 non-null   object \n",
      " 8   Sales         9994 non-null   float64\n",
      " 9   Quantity      9994 non-null   int64  \n",
      " 10  Discount      9994 non-null   float64\n",
      " 11  Profit        9994 non-null   float64\n",
      "dtypes: float64(3), int64(2), object(7)\n",
      "memory usage: 937.1+ KB\n"
     ]
    }
   ],
   "source": [
    "super_store.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Postal Code</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Postal Code</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.023854</td>\n",
       "      <td>0.012761</td>\n",
       "      <td>0.058443</td>\n",
       "      <td>-0.029961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sales</th>\n",
       "      <td>-0.023854</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.200795</td>\n",
       "      <td>-0.028190</td>\n",
       "      <td>0.479064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantity</th>\n",
       "      <td>0.012761</td>\n",
       "      <td>0.200795</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.008623</td>\n",
       "      <td>0.066253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Discount</th>\n",
       "      <td>0.058443</td>\n",
       "      <td>-0.028190</td>\n",
       "      <td>0.008623</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.219487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profit</th>\n",
       "      <td>-0.029961</td>\n",
       "      <td>0.479064</td>\n",
       "      <td>0.066253</td>\n",
       "      <td>-0.219487</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Postal Code     Sales  Quantity  Discount    Profit\n",
       "Postal Code     1.000000 -0.023854  0.012761  0.058443 -0.029961\n",
       "Sales          -0.023854  1.000000  0.200795 -0.028190  0.479064\n",
       "Quantity        0.012761  0.200795  1.000000  0.008623  0.066253\n",
       "Discount        0.058443 -0.028190  0.008623  1.000000 -0.219487\n",
       "Profit         -0.029961  0.479064  0.066253 -0.219487  1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cor = super_store.corr()\n",
    "cor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization in a Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.bar('Sub-Category','Category', data=super_store)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "California              2001\n",
      "New York                1128\n",
      "Texas                    985\n",
      "Pennsylvania             587\n",
      "Washington               506\n",
      "Illinois                 492\n",
      "Ohio                     469\n",
      "Florida                  383\n",
      "Michigan                 255\n",
      "North Carolina           249\n",
      "Virginia                 224\n",
      "Arizona                  224\n",
      "Georgia                  184\n",
      "Tennessee                183\n",
      "Colorado                 182\n",
      "Indiana                  149\n",
      "Kentucky                 139\n",
      "Massachusetts            135\n",
      "New Jersey               130\n",
      "Oregon                   124\n",
      "Wisconsin                110\n",
      "Maryland                 105\n",
      "Delaware                  96\n",
      "Minnesota                 89\n",
      "Connecticut               82\n",
      "Missouri                  66\n",
      "Oklahoma                  66\n",
      "Alabama                   61\n",
      "Arkansas                  60\n",
      "Rhode Island              56\n",
      "Mississippi               53\n",
      "Utah                      53\n",
      "Louisiana                 42\n",
      "South Carolina            42\n",
      "Nevada                    39\n",
      "Nebraska                  38\n",
      "New Mexico                37\n",
      "Iowa                      30\n",
      "New Hampshire             27\n",
      "Kansas                    24\n",
      "Idaho                     21\n",
      "Montana                   15\n",
      "South Dakota              12\n",
      "Vermont                   11\n",
      "District of Columbia      10\n",
      "Maine                      8\n",
      "North Dakota               7\n",
      "West Virginia              4\n",
      "Wyoming                    1\n",
      "Name: State, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(super_store['State'].value_counts())\n",
    "plt.figure(figsize=(15,8))\n",
    "sns.countplot(x=super_store['State'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Binders        1523\n",
      "Paper          1370\n",
      "Furnishings     957\n",
      "Phones          889\n",
      "Storage         846\n",
      "Art             796\n",
      "Accessories     775\n",
      "Chairs          617\n",
      "Appliances      466\n",
      "Labels          364\n",
      "Tables          319\n",
      "Envelopes       254\n",
      "Bookcases       228\n",
      "Fasteners       217\n",
      "Supplies        190\n",
      "Machines        115\n",
      "Copiers          68\n",
      "Name: Sub-Category, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(super_store['Sub-Category'].value_counts())\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x=super_store['Sub-Category'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x203894e8580>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Rz4FngKOJYgxQUOxX6/QEIoEsnejRHotSSrmTTPRYEl+F3bH0TvZqxYEziZ6fdaxL7APsVyI5j/06jy8bk7UTPdpjUUopd5KJWWHGmHnAvHRCMnBTCJphv+xVI+BBYL2IbEvtViUZpT0WpZRyJ8ZkfLm7s0DJRM9LYO+ZJNYd+NrYnQD+BMpmpQjasCillDtx7qywPUAZESntOCHfDvt9qBI7jf1q8TiuOP8I9gsE/206FKaUUu7EiSfvjTFxIjIQWIv9dvGfGmOOiEhfx/Zg7LeQXyAiv2AfOhtljAlP80UzQBsWpZRyJ07+gaQxZhWwKtm64ESPzwNBzjymNixKKeVObLacziDLtGHJgHvx3iUbDs3P6RSc7t0qKe6EfU/4Li57b/2bXZb6u+WtRHKeXt1YKaWUU2nDopRSyqnugYtQasOilFJuxMT/8++Erg2LUkq5Ex0KU0op5VQ6K0wppZRTaY9FKaWUU2nDopRSyqkydnFJt6YNi1JKuRPtsSillHIqnW6slFLKqXRWmFJKKWcyOhSmlFLKqXQoTCmllFPptcKUUko5lfZYlFJKOVWcnrxXSinlTDoUpu5m8IQB1GxUg5joGCYPmcaxw8dTxPiX9GPcnLEU8irIsV+OM3HwFOJi42j6bGM69G8HQPSNaGaMeY8/jp5M2M9isTBv9RzCQyMY3fW1bCtTRo2dNJOtO3ZT1KsI3ywOvvsObqh0/Yo0HtcZsVr4+fPN7Jr7XZLt5VvXpnrfpwCIvXGTda8t4OKvp3Mi1TS9nKgOTkqnDo6fM5aCqdTBjo46eCNZHXyhVxueat8SYwwnf/uTyUOncSsmNlvLlrdWNbyGDwCLhevfrOLqws9Tjctd/hHu++9swl+dSPSGrQAU7NCGAs+0BAyxJ/4k4s1pcCt780/VPTAUZsnpBDJCRF4TkSMi8rOIHBSRGunELhCRttmZX1pqNqpOidIl6FC3C9NHzWTo5JdTjevzWi++nL+cDnW7cu1KFE+2bwFAyJkQBrUdQvemvVj43mJGTB2aZL+2PZ/jr+Pu9SGWWOuWTQmeOTGn0/jbxCI0easry7pO45MmIyn3dE28ywQkibl85iJLX5jIguav8uOsb2g2+aUcyjZ1t+tg+7pdmDZqJsPSqIN9k9XBpxLVwYFth9DNUQdHOuqgj58PbV56lp4t+9G1cU8sVguNn2mUbeUCwGLBa9RgwgaPIeT5l8jfrBEepf+TalyRQb24uXNvwiqrrw8FX3yWC136EfpiT7BYKBCUzfmnwcTHZ3hxV27fsIhILeApoLIxpiLQBDiTs1llTN1mdVj71ToAju7/Fc/CnngXK5oirnKdSmxZuQWANcvWUa9ZHQAO7z1K1JUoAI7sP4qvv2/CPr7+PtRqXIOVS1e5uhh/W9XAxyhcqGBOp/G3+Qc+yOVTF7hy5iLxsTZ+/W4nDzWtkiTm/L7jxFy9YX+8/wQF/VO+vzmpbrM6rMlgHdycyTpo9bCSJ28erFYLefPlJTw03NXFSSL3o2WJO3MO27kQiIvjxrpN5K9fO0VcwRdbc2PjNmyRl5NusFqRPHnAasGSNy+2i9mbf5riTcYXN+X2DQvgD4QbY2IAjDHhxpjzIvKGiOwRkcMiMk9EJPmOIlJFRLaIyD4RWSsi/o71g0XkqKMHlHrf2Ql8/HwIO38x4fnFkIv4+PkkiSnsVYioK1HYbPFpxgA81a4FuzbtTng+6M0BzJ04j3g3rlz/dJ5+XlwLiUx4fi0kkoJ+XmnGV2zXgD83/5wdqWWYr4vqYHhoOJ8HL+Or3Uv55sAyoq5GsWfrPheWJCVrMR9sF+6ULS7sItZiSfO2+vqQr0FdopYnHcK0XQzn2uJlBHy/lOJrlhEfFcXNXdmbf5q0YckW64CSInJMROaISH3H+g+MMdWMMRWAfNh7NQlEJBcwG2hrjKkCfAq87dg8Gqjk6AH1dVXiKZs6MMmvXJp6UJKnlWoH8mT7FgRPmg9ArSY1uRR+iWO/pBwrV84jpHxv0rrw7P21ylHxxfpsnuyy7yl/S0bqYCrfyVLE3K6Dcx110LOwJ3Wb1ebFmh1pXfkF8uXPR9BzTZyX+N+VLG+vYf25PHt+igs7SkFP8tWvzfmnO3Ku+QtIvnzkb+EG+YP9ki4ZXdyU25+8N8ZEiUgVoB7QEPhCREYD10RkJJAfKAocARJ/LXkEqACsd/zhWIEQx7afgSUi8g3wTWrHFZHeQG+Ahwo/gn+B4hnK99muz/BUx5YA/Hbwd4oFJB6+8iXiQkSS+CuRV/As7InVasFmi8fX35fwRDEPlHuAkdOHMaLzGK5eugrAY1UfpU5QbWo2qkHuPLkpUDA/Y2eNYeLgyRnKUWXMtdDIJENbBf2LEnXhUoo437IlaTa1J191nc7Ny1HZmWKqnu36DK0yUQcvp1IHE8c8WO4BRiWrg1XrVSbkdCiXI68AsGX1NipULc+6r39wdfES2MLCsd53p2wexXyxXUxattzlHsZn0lgALEUKk69OdSLjbOBhJe58KPGX7flHb9pGnorlubE6+/JPi97zPpsYY2zAZmCziPwC9AEqAlWNMWdEZDyQN9luAhwxxtRK5SWfBJ4AngZeF5FHjTFxyY45D5gH8ETxxhl+p/+38Fv+t/BbAGo2rsFz3Vqz4dtNlK9cjutXrxMRFplinwM/HqT+k/XZuGITzZ8PYvu6HwEoFlCMifPH8/bLkzl78mxC/LwpnzBvyicABNZ6nHZ9X9BGxQVCDp3Eq7QfhUv6ci00knKtavLd4DlJYgoGeNP6o1dYOSSYS3+G5lCmSSWug7WS1cGodOpggyfrs8FRB7clq4MTX57MmUR1MOxcGI9WLkeevHmIuRlDlbqV+f3Q79lTQIdbR38jV8niWAP8sIWFkz+oIRFj304Sc/6ZTgmPi44bSfT2nURv2UHuR8uSu0I5JE8eTEwMeapV5tav2Zt/mrRhcT0ReQSIN8bcHvcJBH7H3rCEi4gn0Bb4KtmuvwO+IlLLGPOTY2jsYeBXoKQxZpOIbAc6AJ5AsjN7Wbdzwy5qNarB0h2fERN9k8lDpydsm7ZoElNHzCDiQgTBb89n/Jyx9BzZneNHTrBy6WoAug3pTGGvQgyZZJ/JY4uz0btlf2en6TIjxk1hz4GfuXz5Ko1bd6J/j860adUsp9PKMGOL54c3FvL8opGI1cIvX24h4vg5AjvaZw8dXLKROi8/Sz4vT5q+1c2xj41Frd7IuaST+WnDLmo2qsHnOz7jZjp1cG4adbC7ow4OTVQHe7Xsz9EDv7F55VY+WRuMLc7G8SMnWLFkZfYWzhZP5PTZFJs9FawWrq9YTezJv/BsYx8Vj1r+fZq73jryG9EbtuK3JBhjsxH7+wmivs7m/NPixrO9MkpSjPm7Gccw2GygCBAHnMA+RPUK0A44hX2W2F/GmPEisgD43hjzlYgEArOAwtgb0feABcAmxzoBFhtjpqSXQ2Z6LP8UGw7Nz+kUnO7dKu7zge5M38WF3D3oH2iJf05n4Br3792QypmtjLvWv0WGP28Kzll912OJSHPgfeynAz5O7fNORBpg/3zMhX2yVP3kMZnh9j0WY8w+IOUcQhjrWJLHd0v0+CD2Ia/k6jorP6WUcionDoWJiBX4EGgKnAX2iMgKY8zRRDFFgDlAc2PMaREpltXjun3DopRS/ybG5tShsOrACWPMSQDHzyueAY4miukAfG2MOQ1gjAnL6kH/CdONlVLq3yMTv2MRkd4isjfR0jvZqxUn6Q/KzzrWJfYw4CUimx2/+euS1SJoj0UppdxIZqYbJ569mobUzsEkP4AHUAVojP03gT+JyE5jzLEMJ5LKCyqllHIXzp1ufBYomeh5CeB8KjHhxpjrwHUR2Qo8DvzthkWHwpRSyp3EZ2K5uz1AGREpLSK5sc+kXZEs5lugnoh4iEh+oAb2n2X8bdpjUUopN2LinHfy3hgTJyIDgbXYpxt/aow5IiJ9HduDjTG/isga7Fckicc+JflwVo6rDYtSSrkTJ/8+0hizCliVbF1wsufTgek4iTYsSinlRvRaYUoppZzrn39FF21YlFLKnWiPRSmllHNpj0UppZQzJb2Bxz+TNixKKeVGjPZYlFJKOZU2LEoppZxJeyxKKaWcShuWf4kCltw5nYLT3Yt3Wxyyb0JOp+ASGyoNyOkUXGL0xbw5nYJL/F8W9ze2LN2A0i1ow6KUUm5EeyxKKaWcysRrj0UppZQTaY9FKaWUUxmjPRallFJOpD0WpZRSThWvs8KUUko5k568V0op5VTasCillHIq88+/HYs2LEop5U60x6KUUsqpdLqxUkopp7LprDCllFLOpD0WpZRSTqXnWJRSSjmVzgpTSinlVPdCj8WS0wkopZS6wxZvyfCSESLSXER+F5ETIjI6nbhqImITkbZZLYP2WFyoSoMq9B3fF4vVwpqla1g2Z1mKmL5v9qVao2rERMcwY+gM/jj8BwBD3hlC9cbVuRxxmX5N+iXEdx7emVpBtYiPj+dKxBVmDJ1B5IXIbCtTekrXr0jjcZ0Rq4WfP9/MrrnfJdlevnVtqvd9CoDYGzdZ99oCLv56OidSzZKxk2aydcduinoV4ZvFwTmdThJVHXXOarWweukavkylzvV7sy/VG1XjpqPOnXDUubT2faD8AwyePIjceXJhs9n44LUP+f3gMQBKly3F4CmDKeCZn3gTz6CnXiY2JtalZaxYvxJdxvXAYrWw6fMf+G7u1yliuozvQWDDKtyKjiF4+GxOHT4JQP5C+ek1dQAlH74fA8wb8QHH9/8OQFC3lgR1aUm8zcaBjftYOnmRS8uRFmcOhYmIFfgQaAqcBfaIyApjzNFU4qYCa51xXJf3WESkhIh8KyLHReSkiHwgInmcfIwGIlI70fO+ItLF8bibiAQ483gZYbFYGDBxAK93eZ0+jfrQ4JkG3F/m/iQx1RpWI6B0AD3q9WDWqFkMnDQwYdv6ZesZ23lsitddHryc/kH9Gdh8ILt+2EWHlzu4vCwZIRahyVtdWdZ1Gp80GUm5p2viXSbpP/vlMxdZ+sJEFjR/lR9nfUOzyS/lULZZ07plU4JnTszpNFK4XefGdnmdXo360DCNOle8dADd6/Xg/VGzGOSoc+nt2/O1Hix+dwn9mw9k0TuL6fFqD/s+VgsjZ41k9pjZ9G7SlxHPj8IWa3NpGcVioftbvZnW9S1GNBlM7afrUrxMiSQxgQ0r41c6gKH1+/PxmLm8NLFPwrYu43pyaMsBhjcexOjmQzh34gwA5WtVoGrT6oxu/gojm77MynnfurQc6Yk3kuElA6oDJ4wxJ40xt4DPgWdSiRsELAfCnFEGlzYsIiLA18A3xpgyQBkgHzDNyYdqACQ0LMaYYGPM7a8b3YBsb1geDnyY86fOE3o6lLjYOLas2ELNoJpJYmoG1WTD8g0A/HbgNzwLeeJVzAuAw7sOc+3ytRSveyPqRsLjvPnd557h/oEPcvnUBa6cuUh8rI1fv9vJQ02rJIk5v+84MVft+Z/ff4KC/kVzItUsqxr4GIULFczpNFJ4JFmd27xiC7WS1blaQTX5IVGdK1DIk6LFvNLd1xhDgYL5AShQKD+RFyIAqPJEFf789U9O/vonANcuXyM+3rXXfH8osAwXToUQduYCttg4fvpuO1WaVk8SU6VpdbYt3wTAiQPHyF+oAEWKeZHPMx9la5Rn8+c/AGCLjeOGoz426dScFXO+Ju5WHABXI664tBzpMUYyvIhIbxHZm2jpnezligNnEj0/61iXQESKA88CTut+u3oorBFw0xjzXwBjjE1EhgB/ichxoKwxZiCAiHwPvGOM2Swic4Fq2Buhr4wx4xwxp4CFQCsgF/A8cBPoC9hEpBP2lrcxEAWcAqoCS0QkGngN6GmMedbxek2BfsaY55xdcB8/Hy6ev5jwPDwknEcqPZIkxtvPm/Dz4UlifPx8uBR2Kd3X7jqyK43bNOb6teuMfiHNIdNs5ennxbWQO0Ny10IiCaj0YJrxFds14M/NP2dHav8a3qnUubLJ6pyPnzcXk9U5bz+fdPcNHv8RkxZPpNfYnohFGNJ6GAAlHiiOMYa3F0+kcNHCbFmxhWXBX7myiHj5FSUi5E7+kSERPJk4Q0kAACAASURBVFTp4WQx3kSej7gTExqB131FibfZuBZxlT7vDOI/5Uvx5y9/sGj8J8REx+BXOoBHqpfnhREdiY2JZcnbCzj58wmXliUtmRkKM8bMA+alE5Jatyb5Ed4DRjk+nzN+8HS4eijsUWBf4hXGmKvYP/DTa9ReM8ZUBSoC9UWkYqJt4caYysBcYLgx5hT2lvZdY0ygMWZbomN9BewFOhpjAoFVQDkR8XWEdAf+m1oCib8JnIk6k1pI+jLwdqb2JpoM1KqF0xbSpUYXNv1vE626tcp8bi4gqRQ4raLcX6scFV+sz+bJn7s4q3+X1D4TUrwHadS59PZ9qvOTfPTmPDrV6MJHb85j6PRXALB6WKlQ7VGmDprGsOeGU7t5bQLrBGaxFOlLvZ4lLWSqn43GYLFaKVXhAX5YvIZXWw4j5kYMT/e3f6e0elgpULgAb7Qexf9NWsjgOcNdkX6GOHko7CxQMtHzEsD5ZDFVgc8dX9zbAnNEpHVWyuDqhkVI2TreXp+eF0RkP3AAe+NUPtG222fq9gGlMpOMsdfAz4BOIlIEqAWsTiN2njGmqjGmaknPkqmFpCs8JBzfAN+E5z7+PkRciEgR4xPgk25MejZ/s5k6LetkOjdXuBYamWRoq6B/UaIupOx5+ZYtSbOpPfm657vcvByVnSne8zJa53yT1bnICxHp7tu0bRO2r94BwNbvt/FwoL0nczEknJ93/cLVS1eJuRnDnk17eKhC2r1UZ4gMjcDb/07+Rf29uZRs8kpkSARFA7zvxPh5cynsEpGhEUSGRPDHweMA7Fr1I6UqPODYJ5w9a3YC8Meh45h4Q8GihVxalrQ4eVbYHqCMiJQWkdxAO2BF4gBjTGljTCljTCngK6C/MeabrJTB1Q3LEeytYQIRKQTcB0QkO35ex/bSwHCgsTGmIrDy9jaHGMf/bfy9obz/Ap2A9sAyY0zc33iNuzp26BgBpQK4r+R9eOTyoP7T9dm5fmeSmJ3rd9K4TWMAylYqy/Vr1+86DBZQ6s7poppNa3L2xFnnJ/83hBw6iVdpPwqX9MWSy0q5VjU5sX5/kpiCAd60/ugVVg4J5tKfoTmU6b3r90PHKJ6ozjVIo841SVTnbly7TmTYpXT3jbgQQcWajwEQWCeQ83+eA2Dfln2ULluaPHnzYLFaqFjjMU4fd+0svz8OHcevtD++JYthzeVBrVZ12bd+T5KYfT/soV6bhgA8VOlhoq/d4HLYJa5cvExESDj+D9j/hirUqci54/a/n73rdvNobfvAiF/pADxyeXAt8qpLy5IWk4nlrq9l/3wbiH2216/Al8aYI44JTn1dkD7g+nMsG4ApItLFGLPIMaVtBvAB8CfQT0Qs2E8m3T4DVwi4DlwRkfuAFsDmuxznmmO/tLYlnGk1xpwXkfPAWOxT8Fwi3hbP3NfnMnHxRKxWK+u+WMfpY6dp2aklAKsWr2LPxj1Ua1SNT7d/ys3om7w77N2E/Ud9MIqKNStSqGghPtv9GZ/N+Ix1X6yj+5julHiwBCbeEHY2jNmvznZVETLF2OL54Y2FPL9oJGK18MuXW4g4fo7Ajo0AOLhkI3VefpZ8Xp40faubYx8bi1q9kXNJ/00jxk1hz4GfuXz5Ko1bd6J/j860adUsp9Mi3hbPh6/PZdLiiVgcde6vY6d50lHnVi5exW5Hnfvv9k+Jib7JDEedS2tfgPdGzaLf+D5YPazcirnFe6NnARB1JYqv53/N7O/fx2DYvXEPuzfuST05J5ZxwRvzGb1oHBarhc1fbuDc8TM07mj/99+wZC0HN+4jsGEV3t06l5joGD4afudvZOG4+Qx4fwgeuTwIO30hYdvmLzfQZ/pApq57n7jYWOYOm+XScqQng0NcGWaMWYX9NEDidameqDfGdHPGMSUjY/pZOoBISezzqMsBvsAXxpg+jhlji4FA4DD2Xsx4x8n7BUAN4CT2HsoKY8wCxxhgVWNMuIhUxX6yv4GIPIy9CxdPopP3xph3RKQNMAmIBmoZY6JFpB3wijEm6ZSZNLQo2eIeuMhCUg0t3ncP+ocZsm9CTqfgEk9VGpDTKbiEt8V9ZjU60//99b8stQw7/Npm+POmTuhXbvkzfZf/QNIYcwZ4GsDxW5OlIlLFGLMP6JjGPt3SWF8q0eO92KcZY4w5hv1E/22JT+Avxz4/O7G6wPzMlUQppVzPtRO2s0e2/vLeGPMj8J/sPGZyIrIP+1DbsJzMQymlUmPuOrfJ/f3rLulijKly9yillMoZcXo/FqWUUs6kPRallFJOpedYlFJKOZX2WJRSSjmV9liUUko5lU17LEoppZzpHrgzsTYsSinlTuK1x6KUUsqZ7oXrR2nDopRSbkRP3iullHKqeCfdxTEnacOilFJuxJbTCTiBNixKKeVGdFaYUkopp9JZYf8SRSx5cjoFp/suLiSnU3C6DffoDbG+P/BhTqfgEvkC6uV0Ci7xf1ncX2eFKaWUciodClNKKeVUOt1YKaWUU9m0x6KUUsqZtMeilFLKqbRhUUop5VT3wC3vtWFRSil3oj0WpZRSTqWXdFFKKeVU98LvWCw5nYBSSqk74jOxZISINBeR30XkhIiMTmV7RxH52bH8KCKPZ7UM2mNRSik34sxzLCJiBT4EmgJngT0issIYczRR2J9AfWPMJRFpAcwDamTluNpjUUopN2IysWRAdeCEMeakMeYW8DnwTJLjGfOjMeaS4+lOoERWy6ANi1JKuZF4yfgiIr1FZG+ipXeylysOnEn0/KxjXVp6AKuzWgYdClNKKTeSmVlhxph52Ieu0pLaVIBUOzsi0hB7w1I3EymkShsWpZRyI/HOvXD+WaBkouclgPPJg0SkIvAx0MIYE5HVg+pQmFJKuREnzwrbA5QRkdIikhtoB6xIHCAi9wNfA52NMcecUQbtsSillBtxZn/FGBMnIgOBtYAV+NQYc0RE+jq2BwNvAN7AHBEBiDPGVM3KcbVhcaHH61eiy7ieWKwWNn2+nhVzv04R03V8TwIbVuFWdAxzh8/i1OGTAMzaPo/o69HE2+KJt9l4rdVwAP5TvjQ93u5Lrjy5ibfZ+HTsR/xx6Hi2luvlCQOo2agGMdExTBoyjWOHUx7fv6Qf4+eMpaBXQY79cpyJg6cQFxtH02cb07F/OwBu3Ihmxpj3+OOovcwv9GrDU+1bYozh5G9/MnnoNG7FxLqsHFUbVKHv+L5YrRZWL13Dl3OWpYjp92Zfqjeqxs3oGGYMncGJw3+ku+8D5R9g8ORB5M6TC5vNxgevfcjvB+1fAkuXLcXgKYMp4JmfeBPPoKdeJtaF5cuMsZNmsnXHbop6FeGbxcE5nU6mvDtzAi2aN+JGdDQ9egzhwMHDKWIWLZxNlSqPExsby549B+nXfxRxcXG0b/8sI4b3B+B61A0GDBrDzz8fTbF/dnL2JV2MMauAVcnWBSd63BPo6cxjunQoTERsInJQRI6IyCERGSoiFse2qiIyy5XHz0B+r7rstS0Wur/Vh6ldJzC8ySBqP12P4mWSzuILbFgFv9L+DKnfj/lj5tBjYt8k2ye2G8uYlkMSGhWADmO6svz9LxjTcgjLZi6lw5iuripCqmo2qk6J0iVoX7cL00bNZNjkl1ON6/taL76cv5wOdbty7UoUT7VvAUDImRAGth1Ct6a9WPjeYkZOHQqAj58PbV56lp4t+9G1sb0xbvxMI5eVw2KxMGDiAMZ2eZ1ejfrQ8JkG3F/m/iQx1RpWo3jpALrX68H7o2YxaNLAu+7b87UeLH53Cf2bD2TRO4vp8WoP+z5WCyNnjWT2mNn0btKXEc+PwhbrPhfvaN2yKcEzJ+Z0GpnWonkjyjxUmrLl69Kv3yg+/GByqnFLl/6PRys8QWClxuTLl5ceL3UA4NSfZ2jUuC2VqzTl7UnvETxnanamn6o4MRle3JWrz7FEG2MCjTGPYv+BTktgHIAxZq8xZrCLj383LmtYHgosQ+ipEMLOXMAWG8dP322natOkvzmq0rQ625ZvBuDEgWPkL1SAIsW80n1dYwz5PPMBkL9gfi6FRbok/7TUbVaHNV+tA+Do/l/xLOyJd7GiKeIq16nE5pVbAFizbB31mtUB4PDeo0RdiQLgyP6j+Pr7Juxj9bCSJ28erFYLefPlJTw03GXleCTwYc6fOk/o6VDiYuPYvGILtYJqJompFVSTH5ZvAOC3A79RoJAnRYt5pbuvMYYCBfMDUKBQfiIv2M+DVnmiCn/++icnf/0TgGuXrxEf7z6XG6wa+BiFCxXM6TQyrVWrZny25CsAdu3eT+EihfHzK5YibvWajQmP9+w5SIkS/gD8tHMvly9fAWDnrv0UL+6fDVmnz8m/Y8kR2Xby3hgTBvQGBopdAxH5HkBE6jt6NgdF5ICIFHSsHykivzh6O1Mc6wJFZKfj8gP/ExEvx/rNIlLV8dhHRE45HncTka9FZI2IHBeRaY71U4B8jmMucXZ5vfyKEhFy54MxIiQCL7+kH8BF/YoScf5OTGRoBEXvs8cYDGMWj+ft72fQqH1QQsyiCZ/Q8dVufPDTx3R8rRufT/3M2amny9fPh7DzFxOeXwy5iI+fT5KYwl6FiLoShc0Wn2YMwFPtWrBr024AwkPD+Tx4GV/tXso3B5YRdTWKPVv3uawc3n4+XExUjvCQcHz8vJPE+Ph5czHR+xMeEo63n0+6+waP/8jea9m1iF5je/LplAUAlHigOMYY3l48kQ9Wzeb5vm1dVrZ/k+IBfpw9c2eS07mzIRQP8Esz3sPDg44d27B27aYU217q3o41qazPbs6+pEtOyNZZYcaYk45jJv9KMRwYYIwJBOoB0Y5LC7QGahhjHgemOWIXAaOMMRWBX3D0gO4iEHgReAx4UURKGmNGc6dH1TGrZUtOUps+nuwrhuNEWdIQR8z450bz6pPDmNp1AkFdWlC2enkAmnZqzmdvfcrAWj35bMKn9J420NmppyuVlDHGJItJrVxJYyrVDuTJ9i2YO2k+AJ6FPanbrDYv1uxI68ovkC9/PoKea+K8xJNJvRx3DzLGpLvvU52f5KM359GpRhc+enMeQ6e/Ath7YxWqPcrUQdMY9txwajevTWCdwCyWQmWkriX2wexJbNu2i+07didZ36B+bbp3b8+YVyc5PcfMisdkeHFXOTHdOLUf7OwAZorIYKCIMSYOaAL81xhzA8AYEykihR3btzj2Wwg8kYFjbjDGXDHG3ASOAv+5a5KJftF6IupUBg6RVGRoBN7+d76le/t7c+lC0mGriJAIvAPuxBT1804Y2roUZr/CwtWIK+xZu4sHA8sA8ESbhuxe/RMAO1fu4MHHy2Q6t8x6tuszfLruIz5d9xHhoREUC7gzfOXr70vEhaTT3i9HXsGzsCdWqyXVmAfLPcCo6cN49aU3uHrpKgBV61Um5HQolyOvYIuzsWX1NipULe+yMoWHhOObqBw+/j4pymGP8UkSE3khIt19m7ZtwvbVOwDY+v02Hg58BICLIeH8vOsXrl66SszNGPZs2sNDFR50WfnuZf36dmXvnnXs3bOO8yGhlCgZkLCteAl/zodcSHW/18cOwdfXm+EjxidZ/9hj5fgoeDrPtXmJyMhLqe6bnXQoLJNE5AHsPywNS7zeGDMF+6yEfMBOESmLvQHKzL9dHHfKkzfZtphEj21kYDacMWaeMaaqMabqQ56lMpGG3R+HjuNX2h/fksWw5vKgVqu67Fuf9FvS/h92U69NAwAeqvQwN65d53LYJfLky0PeAvYi5MmXh4pPBHL299MAXAqLpFzNCgA8WqcioadCMp1bZv1v4be8FNSHl4L6sG3tDpq3tQ/Nla9cjqir14lI5TzPgR8P0uDJ+gA0fz6Ibet+BKBYQDEmzh/PxJcnc+bk2YT4sHNhPFq5HHny5gGgSt3K/HX8tMvK9PuhYxQvFcB9Je/DI5cHDZ6uz871O5PE7Fy/kyZtGgNQtlJZbly7TmTYpXT3jbgQQcWajwEQWCeQ83+eA2Dfln2ULluaPHnzYLFaqFjjMU67sHz3srnBC6laLYiq1YJYsWItnTvahxVrVK/M1StXCQ0NS7HPS93bE9S0AR07DUjSoylZMoBlX8ynW/eXOX78ZLaVIT33wlBYtk03FhFfIBj4wBhjEndhReRBY8wvwC8iUgsoC6wD3hCR/zPG3BCRoo5eyyURqWeM2QZ0Bm73Xk4BVYDdQEYHsGNFJJcxxulzPuNt8Sx4Yz5jFo3DYrWy+csfOHv8DE06NgPghyVrObBxH4ENq/De1mBiomP4aLh9klxhnyIMnWe/urXVw8qOb7dyaMsBAOaPmkOX8T2xWi3ExsTy8eg5zk49XT9t2EXNRjX4fMdn3Iy+yeSh0xO2TVs0iakjZhBxIYK5b89n/Jyx9BzZneNHTrByqf3yQ92HdKawVyGGTrLPJrPF2ejVsj9HD/zG5pVb+WRtMLY4G8ePnGDFkpUuK0e8LZ4PX5/LpMUTsVitrPtiHX8dO82TnVoCsHLxKnZv3EO1RtX47/ZPiYm+yYxh76a7L8B7o2bRb3wfrB5WbsXc4r3R9vc06koUX8//mtnfv4/BsHvjHnZv3OOy8mXWiHFT2HPgZy5fvkrj1p3o36MzbVo1y+m07mrV6g00b96I33/dwY3oaHr2HJqw7btvF9G77whCQi4w58Mp/PXXWbZvs/828JtvVjHx7fcY+9oQvL29mD3bPgQWFxdHzVotc6Qst9ncui+SMZLeeGSWX1zEhv08SC7sPYrPgJnGmHgRaQAMN8Y8JSKzgYbYexNHgW7GmBjHvQO6ALeAVcaYV0UkEHsDlR84CXR3XO65LPAlEAVsBDoZY0qJSDegqjFmoCOn74F3jDGbRWQq8DSwP73zLO3/0/qf/04nczbuWk6n4HT5LblzOgWX+P7AhzmdgkvkC6iX0ym4RNytc1m6VdfLpdpl+PPm/VOfu+VtwVzasNwrtGH5Z9CG5Z9FG5bUDS71YoY/b2ad+sItGxb95b1SSrkRdz53klHasCillBtx52nEGaUNi1JKuZF/frOiDYtSSrmVuHugadGGRSml3IjRhkUppZQz6cl7pZRSTqU9FqWUUk6lPRallFJOZbsHfrSuDYtSSrkR/R2LUkopp9JzLEoppZxKz7EopZRyKh0KU0op5VQ6FKaUUsqpdFaYUkopp9KhsH+J03FXczoFp1vq75b3B8qS0Rfz5nQKLnGv3hAr+vy2nE7BLenJe6WUUk51L5xjseR0Akoppe6Ix2R4yQgRaS4iv4vICREZncp2EZFZju0/i0jlrJZBGxallHIjxpgML3cjIlbgQ6AFUB5oLyLlk4W1AMo4lt7A3KyWQRsWpZRyIzZMhpcMqA6cMMacNMbcAj4HnkkW8wywyNjtBIqIiH9WyqANi1JKuZHMDIWJSG8R2Zto6Z3s5YoDZxI9P+tYl9mYTNGT90op5UYyMsSVKHYeMC+dkNSmfyY/QEZiMkUbFqWUciNO/h3LWaBkouclgPN/IyZTdChMKaXciMnEfxmwBygjIqVFJDfQDliRLGYF0MUxO6wmcMUYE5KVMmiPRSml3IgzL+lijIkTkYHAWsAKfGqMOSIifR3bg4FVQEvgBHAD6J7V42rDopRSbsTZl3QxxqzC3ngkXhec6LEBBjjzmNqwKKWUG9FrhSmllHKqzMwKc1fasCillBvRHotSSimnuhcuQqkNi1JKuRGb+edfOF8bFqWUciN6jkUppZRT3QvnWPSX99nolQkD+WL7ZyxcP5+HK5RJNca/pB/zvvuQz7cvYsLc1/HIZW/76wbVZuH6+SxYN49PVs2lYrUK2Zl6mvLWqob/8gX4/28Rhbq2SzMud/lHKLlrHfkaP5GwrmCHNvh98Ql+X3yM99uvQe5c2ZFyqirWr8Q7Gz9g5pY5tOr3XKoxXcb3YOaWOUxZ8y6lKjyQsD5/ofy8PHcE72yYzfQNsylT+ZGEbUHdWvLOxg+Ytv592o/p4vJy3M27Myfw29Ht7N+3nkqBqdehRQtnc+TwVg4e2MD8eTPw8LDXwfbtn2X/vvXs37eebVu+pWLF5Fdfdz9jJ83kiSfb0bpT35xOJcOc/Mv7HOH2DYuI2ETkoIgcFpFlIpI/k/s/LyK/isgmEakqIrMc6xuISG3XZJ1SrUY1KFG6OC/W7cy0UTMZPvmVVOP6vdabL+Z/Rbu6Xbh25RpPtW8JwL7t++natBfdgnozadh0Rr8zPLtST5vFgteowYQNHkPI8y+Rv1kjPEr/J9W4IoN6cXPn3oRVVl8fCr74LBe69CP0xZ5gsVAgqFE2Jn+HWCx0f6s307q+xYgmg6n9dF2KlymRJCawYWX8SgcwtH5/Ph4zl5cm9knY1mVcTw5tOcDwxoMY3XwI507YLxRbvlYFqjatzujmrzCy6cusnPdttpYruRbNG1HmodKULV+Xfv1G8eEHk1ONW7r0fzxa4QkCKzUmX7689HipAwCn/jxDo8ZtqVylKW9Peo/gOVOzM/2/pXXLpgTPnJjTaWRKvDEZXtyV2zcsQLQxJtAYUwG4BST56uG4vk165egB9DfGNDTG7DXGDHasbwBkW8NSt1lt1ny1HoAj+3+lYGFPvIsVTRFXpU4lNq/cAsCqZet4olkdAKJv3EyIyZs/r1uMw+Z+tCxxZ85hOxcCcXHcWLeJ/PVT/pMWfLE1NzZuwxZ5OekGqxXJkwesFix582K7GJ5NmSf1UGAZLpwKIezMBWyxcfz03XaqNK2eJKZK0+psW74JgBMHjpG/UAGKFPMin2c+ytYoz+bPfwDAFhvHjas3AGjSqTkr5nxN3K04AK5GXMnGUqXUqlUzPlvyFQC7du+ncJHC+PkVSxG3es3GhMd79hykRAn7rTl+2rmXy5ftZdi5az/Fi2fplh3ZomrgYxQuVDCn08gU7bFkv23AQyJSytELmQPsB0qKSHsR+cXRs5kKICJvAHWBYBGZ7uilfC8ipbA3UEMcvaF6rk7c18+HsPNhCc/DQi7i6+eTJKawVyGirkRhs9lnhVxMFvNE87r835YFvLNwEpOGTXd1yndlLeaD7cLFhOdxYRexFktaJquvD/ka1CVq+XdJ1tsuhnNt8TICvl9K8TXLiI+K4uaufdmSd3JefkWJCLnTqEWGRFDUzztZjDeR5yPuxIRG4HVfUYrdfx/XIq7S551BTFo1g15T+5MnXx4A/EoH8Ej18kz4ZiqvfzGRByo+lD0FSkPxAD/Onrlz0dpzZ0MoHuCXZryHhwcdO7Zh7dpNKba91L0da1JZr7LOZuIzvLirf0zDIiIe2G+h+Ytj1SPY73pWCYgFpgKNgECgmoi0NsZMAPYCHY0xI26/ljHmFBAMvOvoDW1L5XgJN9AJvZ6lK0jffr0U65L3Ou4Ws3XNdjrU78boHm/Qa0SWrxPnGsnK5DWsP5dnz4f4pH8EUtCTfPVrc/7pjpxr/gKSLx/5WzTJzkzv5JLK7ShSvjep7GgMFquVUhUe4IfFa3i15TBibsTwdH/7ORqrh5UChQvwRutR/N+khQyek7PDlxmpg4l9MHsS27btYvuO3UnWN6hfm+7d2zPm1UlOz1HdG0Nh/4RZYflE5KDj8TbgEyAA+MtxG02AasBmY8xFABFZAjwBfPN3D5r4Bjp1ijf6W+/gc12f4emOTwLw68HfKRZwZ9ihmL8v4RciksRfjryCZ2FPrFYLNls8vqnEABza9TPF/xNAYa9CXLl09e+k5hS2sHCs9/kmPPco5ovtYtJ8c5d7GJ9JYwGwFClMvjrViYyzgYeVuPOhxDuGVqI3bSNPxfLcWP1D9hXAITI0Am//Oz2tov7eXLoQmTQmJIKiAXd6MUX9vLkUdgljDJEhEfxx8DgAu1b9mNCwRIaEs2eNvYr+ceg4Jt5QsGghrkVm33vWr29XevToCMDevQcpUTIgYVvxEv6cD7mQ6n6vjx2Cr683/fr3TLL+scfK8VHwdJ56ujORkZdcl/i/mDsPcWXUP6HHcvscS6AxZpDjvs0A1xPFpPZ9Msd9vfBbugX1pltQb7au3U7ztk0BeLRyOaKuXiciLDLFPvt/PEiDJ+sD0PL5ILat2wFA8VJ3PhAerlCGXLly5WijAnDr6G/kKlkca4AfeHiQP6gh0Vt/TBJz/plOnH+6I+ef7siNDVuJnDqL6C07sIWGkbtCOfs5FiBPtcrEnjqdE8Xgj0PH8Svtj2/JYlhzeVCrVV32rd+TJGbfD3uo16YhAA9Vepjoaze4HHaJKxcvExESjv8D9venQp2KnDt+FoC963bzaO2KgH1YzCOXR7Y2KgBzgxdStVoQVasFsWLFWjp3bAtAjeqVuXrlKqGhYSn2eal7e4KaNqBjpwFJejQlSwaw7Iv5dOv+MsePn8y2MvzbaI/FfewC3hcRH+AS0B6YfZd9rgGFXJ3YbT9t2EWtRjX4csdibkbfZNLQaQnb3lk0mSkj3iH8QgRz357Hm3Nep/fIlzh25ATfL10NQIOWT9CibRBxcXHE3IzhjX4Tsiv1tNniiZw+m2Kzp4LVwvUVq4k9+ReebZ4CIGr592nueuvIb0Rv2IrfkmCMzUbs7yeI+npldmWeRLwtngVvzGf0onFYrBY2f7mBc8fP0LhjMwA2LFnLwY37CGxYhXe3ziUmOoaPht+pXgvHzWfA+0PwyOVB2OkLCds2f7mBPtMHMnXd+8TFxjJ32KwcKd9tq1ZvoHnzRvz+6w5uREfz/+2dedCVVR3HP18RF0RcgAwTNRu3YBgUTClJSBzHLfecShPTIbIkMnVccE0nXDJH0ZzUxAXMJRVRLI1AyXJhfdkSGwUt38wUTBTBF3/9cX4XLpe7v/flvVx+n5ln7nl+z/Oc5TnnPL9zfufcc84669w11yZOuJdhw8+nufkdbrt1NEuW/JO/TEv7QT3++CSuvuYmRl3yU7p23YFbbkkmsJaWFg4acGS7pKVczr98NK/MSay+AwAACdlJREFUamLZsv9x6HGncvaZp3HiMYe3d7SK0gg9FtXD7KJiSFpuZp1zZLsDT/pMsYzsO8BFpN7LJDO7wOVTgfPMbLqkQe4+WtJewCPAZ8A5+cZZMlRrCqtnHuhRl528VnHhuxusnbBBeaj55dI3bYSseLtglduo6dhtj1ZVrt269in7e7Pkvaa6rMh132PJVSouWwz0zpGNB8bnuXdQlnsqMNXdi4A+tYxrEARBa6n3xn451L1iCYIg2JRohCVdQrEEQRDUEdFjCYIgCGpKPc/2KpdQLEEQBHVEI8wKC8USBEFQR9TzUi3lEoolCIKgjogxliAIgqCmxBhLEARBUFOixxIEQRDUlEb4H8vGsAhlEATBJoOZlX20Bkk7SnpW0mv+u0Oee3r67rsLJc2X9JNy/A7FEgRBUEdswI2+LgQmm9mewGQ/z6UF+JmZ7QscBPxI0pdLeRyKJQiCoI7YgMvmHwvc4+57gONybzCzZjOb6e4PgYXAF0p5HIolCIKgjqjEFJa9060fwyoIaicza/Ywm4HPFbvZV5Xfj7RNSVFi8D4IgqCOqOSf99k73eZD0p+Az+e5dEklcZLUGfg9MNLMSu5WF4olCIKgjqjldGMzG1LomqR3JPUws2ZJPYD1txNN93UkKZVxZvZoOeGGKSwIgqCO2IBjLE8Ap7v7dGBC7g2SBNwFLDSzG8v1uO53kNzUkDTMu7cNQyOmCRozXY2YJmjcdLUGSV2Bh4BdgTeBk83sfUk7A3ea2ZGSDgamAXNJu+0CXGxmk4r6HYqlvpA03cz6t3c8akkjpgkaM12NmCZo3HTVK2EKC4IgCGpKKJYgCIKgpoRiqT8a0Q7ciGmCxkxXI6YJGjdddUmMsQRBEAQ1JXosQRAEQU0JxRIEQRDUlFAsRZC0WtJsSfMkPSypUxV+jCznOUlTJa03HVJSR0mjfWnreZJelnREBeEPlTSm0niX8PMSX0K7yd/PgUXuHSvppFqGXy2SdpE0wd/l65LGSNqyxmEMkvTVrPPhkr7n7qH+H4FahZUpn/MlzZF0rqTN/Fp/STfXKqwq43dxG/rdqrop6WRfCn5K9rvKzb+gOkKxFGeFmfU1s97AKmB4FX6MBCpWSFn8HOgB9PZ4HANs2wr/WoWkAcDRwP5m1gcYArzVXvEpF/8H8aPA475M+J7A1sB1NQ5qELDmw2Rmt5vZvX46FKiZYmFt+ewFHAYcCVzu4U43sxE1DKsa2kyxUKJuKlHs+3YmcLaZDc55V4PIyr+gSipZSXNTO4DlWe7hwG3uPheY58dIl20DPAXMcfkpwAhSoZ8LTPH7fg1MB+YDV2b5PxXonxN+J+A9oEuB+H3b/Z4HXJslPwNYBDwH3AGMcXl30po/r/jxtSreyQnAxDzyy9zPeaQZOJmJIWOBk9zdz+M0A/gj0MPlI4AFQBPwuzbKy0OB53NkXYClwI8z78jlTwKDSuTXYuBKYKbnwT7A7sC/gX8Bs4GBwBXAecBJwHLgVb92FPBYln+HAY9WWz79fA8vLyJ9IJ90+SEe5mxgFrCtyy/wuM8BRrusL/Ci58VjwA655RPoBix291CSwv4D8BpwnctHA6s9zHEbom76+1/o7lnAbuSpI15WM3lxfeZd5cu/tiiLm8LR7hGo5yNTeEmLdU4Afkj6OM4lKZLO/sHZDzgRuCPr2e38dzHQLUu+o/928Mrax8/XVNyse/sAswrEbWfSMgzdPX5/Ju2n0CNLvgXwAmsVy3jgYHfvSlr/p9J30tkr3SKvwIdkp8vd9wHHuHss6aPaEfgr0N3lpwC/dffbwJbu3r6N8nIE8Ks88lmkXmUhxVIovxYD57j7bNISGOCKJMuvNees+3EW8Pes9zE+884qLZ85sqXATqyrWCbijQjPv82BIzw/OuWksykrT68CbsoT91zF8jqwHbAVsAToWSh+bVw3dyctO3JQsTqSJz3Z72qd/IujuiNMYcXZWtJsUov1TdJibAeTWpofmdlyUmttIEnZDJF0raSBZvZBAT+/JWkm6YPWCyi5G1sBDgCmmtm7ZtYCjAO+DhyYJV8FPJj1zBBgjKfpCaCLpIrMap7mfsAw4F3gQUlDgcGSXpI0F/iGpy2bvYHewLMe/ihgF7/WBIyTdCppx7q2QJB3PXKVeK5YfmVWep1B+qiVjaWv2H3AqZK2BwYAT1fiRwHypecF4EZJI0iKu4VUFu42s489Pu9L2s6vP+fP3UMqU6WYbGYfmNknpJ7nbq1ORWny1U2AJWb2orsL1ZGgjYll84uzwsz6ZgvcVr8eZrZIUj+SnfsXkp4xs6tynv0iySxygJktlTSW1MorxD+AXSVta2n3tnW8K/JcoT8nbQYMMLMVRZ4tiZmtJrX4proi+QGpd9XfzN6SdAXrp0vAfDMbkMfLo0gV/pvApZJ6+Yeglswn9SrXRkjqQmrdvwfslXVpK79eKr9W+u9qqqtLd5N6E58AD7c2zZL28Lj8B9g3Izez0ZKeIpXNFyUNobCiLUQLa8dkc/N2ZZa72ndRKfnqJsBH2aINEI8gD9FjqZzngeMkdZK0DXA8MM1n+3xsZvcDNwD7+/0fsnawvQup4H8gaSeSOaIg3pq8C7hZ0hYAknp4y/4l4BBJ3SR1INmSn3P5IEldfR+Fk7O8fIY0noD7tU7FLAdJe0vaM0vUl2SrBviv0oZA+WaBvQp098H/zGy3Xj7A2tPMppBs/tuTzDW1ZjLQKWuGVgfgl8AY4A2gr6TNJPUEvuLPVJRfTnZ+F71mZm+TzICjSCbDqpHUHbidZNKznGtfMrO5ZnYtqYW/D6ksfD8zm0rSjt7LXippoD96GqlMQTL99XN3ubP8PvUy2F4UqiPFKJZ/QZlEj6VCzGymt1xfdtGdZjZL0uHA9ZI+Az4l2XwhDWQ/LanZzAZLmkVqPb9OMlGUYhRwNbBA0iekD91lljbnuQiYQmqZTTKzCQDeY/gb0EwaXO7gfo0AbpXURMr756l8pltn4BY337SQelXDgGUkc+Bi0iD+OpjZKp92fLObXDYHbiKN1dzvMpHGQZZVGKeSmJlJOp6U/ktJdvcHzewa74W+wdpB3swe33OqyK+JwCOSjgXOybk2Frhd0grW9hzHkcZZFlSRrIw5qCMpL+4D8u2ZMVLSYFJvYgHwtJmt9IbFdEmrgEmkWVynexw7kdJ8hvtxA/CQpNNIYxXl8BugSdJMM/tuFelrFcXqSBHWyT8zm9bW8WxEYkmXYJPE/6vwAHCCmc1ox3iMIU3QuKvkzUGwkRCKJQjaCUkzSD3Qw8xsZan7g2BjIRRLEARBUFNi8D4IgiCoKaFYgiAIgpoSiiUIgiCoKaFYgiAIgpoSiiUIgiCoKf8HM+6fY4n2MC8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cor, annot= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2038943ea60>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LR9GShyGT1PZIuaq6DLhs+M0ZvSRjVbVy1O3Q3nPf7d/m6/7bX7qhdgDHDswvBe4aUVskad7ZX8Liy8DyJMcleTSwGtg44jZJ0ryxX3RDVdXuJK8D/gZYALy3qraNuFmjNi+62w5Q7rv927zcf/vFCW5J0mjtL91QkqQRMiwkSb0MiyFJ8oQkVyb5uyQ3J/nrJE8ddbs0M/vq/ktyhqMXdJLcP2H+NUneNYfPnyRvSXJbkr9NcnWSEwYePzPJLUmubvMfSHJjkjcl+eMkL5yrts6G/eIE9/4mSYAPA+uranWrnQQcA/ztKNs2U0kWVtXuUbdjFB7J/kuyoKoefITPP902zgA+Btz8SJ5Ds+Jc4DnAM6rq75O8CNiY5ISq+jFwNvBvqurqJE8AnlNVTx5lgx+RqvI2yzfgBcBnJqkHuAi4CdgKvLzVnwdcA3wQ+Brwlzx08cGFdC8MNwJ/0mrrgJcNbPf+ge18GthA96J2IfBKYEt7vqe05RYBH6K7JPnLwKmt/ja6Kz0+CVwx6t/jfrb/rgauaPtqWduP69t++yDw2LbsacBX2/rvBQ5u9W8AbwU+R3dp+G+3fXND21ePpXth+i5wO3A98JR2+wRwHfBZ4BdG/fubw/10/4T51wDvatNPBja33/9m4Emtvg64tO2vrwO/2vbDLcC6gW29CLgW+ArwV8Chkzz/neP/UwO199OFxFuB++lGkbioteNHbb/9yuD/MPBM4AttX28BDqO76vOi9jdwI/A7I/99j7oBB+INeD3wZ5PU/xWwqf0hHAPcASxuLzY/oPuw4UHtj/S5wJHtj208OB7f7n/6h9bmB8Pi+22bBwP/D/ij9tgbgHe06SuA57bpJwG3tOm3tRedQ0b9O9wP998PgePacsvoRhgYD+H3Ar8PPKa9wDy11S8H3timvwG8eeC5/tHA9NuB35ti328GlrfpZwGfGvXvbw7304PtxXf8dgcPhcVHgTVt+reAjwz8/q6kC/7TgXuBX2z/d9cBJ9EN5/EZ4HFtnT8E3jrhuQ8HvjtJm94A/GmbvgZYOfA3cdPAcuuAlwGPpgutZw5sdyHdsEVvabWDgbHxv69R3eyGmlvPBT5QXRfD3Uk+Tfeu4l5gS1XtAEhyPd0f1xeBHwPvSfJ/6bof+ny5qna27fwd3VECdO9kn9+mXwgc3/W2AHB4ksPa9Maq+tHD/xEPaH377/aBZe+sqs+36b+gC6BNwO1VNd6VtZ6uK+Mdbf5/D6x/YpK3A48HDqX7jNHPSHIo3dHGXw3sy4Mf2Y+4X/lRVZ00PpPkNcD4MBzPBl7apt8P/NeB9T5aVZVkK3B3VW1t62+j+79bSje69efb7/XRdG/gZiJMMhTRNJ4G7KyqLwNU1b2tLS8Cnt7GxQP4OWA53VHlSBgWw7GN7l3DRJONcTXugYHpB4GF1X0Y8WS6rovVwOvoukh20y5OaP3rj55iOz8ZmP8JD+3vg4BnTwyF9o/xw2naOF88nP038fc28QWjetafuI11wBlVdUN7EXzeJMsfBHx/8AVTUxrcH4P/ExP/XxbS/f9tqqpXTLmxqnuT/DDJz1fV1wce+mW6ruCZmipcQnc0ucebhFHxaqjh+BRwcJLfHi8keSbwPeDlSRYkWQT8U7o+ykm1d44/V1V/DbyR7hAZui6LFW36dOBRe9m+T9IFz/jz+GLzs2Zj/z0pybPb9CvozkV8DViW5B+3+quZ+oXlMGBnkkfRnXcad197bPxd6O1JzmxtTJJn7N2PesD6At0bLOh+f5/bi3W/CJw6vp+SPHaKK+EuAi5Ockhb7oV0R59X7MVzfQ14Yvv7IslhSRbSHUme0/Y/SZ6a5HF7sd1Z55HFELRD3H8JvKN9q9+P6V7g30jXpXAD3buJN1fVt5L8whSbOgy4Kslj6N5pvKnV/7zVt9D1We/t0cDrgXcnuZHub+AzwO/u5TYOWLO0/24B1iT5n8BtwKVV9eMkr6XrNlpId/Lyf0zRjP8IfAn4Jl0X4ng34ZXAnyd5Pd3RzyuBS5O8he5Nw5WtffPd64H3JvkDYBfw2pmuWFW72tHcB5KMd+u9hT2vhHsncASwNcmDwLeA0/emG7eq/iHJy4F3ttD5EV038XvousS+0noPdtFdCTcyDvchzbIky4CPVdWJI26KNGvshpIk9fLIQpLUyyMLSVIvw0KS1MuwkCT1MiykaST5D0m2tdFCr0/yrFG3aVySZUl+c9Tt0Pzg5yykKbQP1b0E+OWqeiDJUfzsp+VHbRnwm+zdh8Ckh8UjC2lqi4FvV9UDAFX17aq6K8mKJJ9Ocl2Sv0myGLpPebcjkGuTXJTkplZ/TZKPJPloktuTvC7Jv03y1SRfTHJkW+4pST7RtvvZ8Q/7JVmX5OIkX0jy9YHxgi4EfqUd8bxpj9ZLs8iwkKb2SeDYdF9sc0mSX23DL7yTbuTXFXQjyl7Qln8f8LtV9Wy68YUGnUh3FHByW/7vq+qX6AaoO6stcxndeEAr6EapvWRg/cV0Q0m8hC4kAM4DPltVJ1XVn83aTy1Nwm4oaQpVdX+SFXTfP/B8ulFh3073wr+pDby4gG4Mp8cDh1XVF9rqV9C9sI+7uqruA+5L8gO6IbShG8rj6TMYQfYjVfUT4OYkx8zyjyr1MiykabThyK8BrmlDWp8LbGtHDz+V5IieTfWNBtw3guzg+n2j10qzzm4oaQpJnpZk+UDpJLoBAheNjyib5FHpvkbze3RHDae0ZVezFx7mCLI/HYFWGjbDQpraocD6JDe3EXqPp/u6zJcB/yXJDXTf0PactvzZwGVJrqV79/+DvXy+VwJnt+1uoxt+fjo3AruT3OAJbg2bY0NJsyTJoVV1f5s+D1hcVW8YcbOkWeE5C2n2/FqS8+n+r74JvGa0zZFmj0cWkqRenrOQJPUyLCRJvQwLSVIvw0KS1MuwkCT1+v9vDpJOQ5NVkAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=df['Segment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20389ae4520>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=df['Region'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19]),\n",
       " <a list of 20 Text xticklabel objects>)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=df['State'],order=(df['State'].value_counts().head(20)).index)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x203897e4310>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
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      "text/plain": [
       "<Figure size 2880x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(40,25))\n",
    "sns.barplot(x=df['Sub-Category'], y=df['Profit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x203874ccfa0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2038702eee0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,4))\n",
    "sns.lineplot('Discount', 'Profit', data = df, color = 'r', label= 'Discount')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion  :-THE PROFIT DECREASED AS THE DISCOUNT INCREASED"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Thank You"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}