Task 3 Exploratory Data Analysis - Retail.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 3 : Performing EDA On Sample Superstore Dataset\n",
    "# Submitted by : Jainil Shah\n",
    "# You are business manager.As a business manager,you want to find out the weak areas where you can work to make more profit.\n",
    "## 1. Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# used for working with arrays\n",
    "import numpy as np \n",
    "# it offers data structures and operations for manipulating numerical tables and time series\n",
    "import pandas as pd \n",
    "#  data visualization and graphical plotting\n",
    "import matplotlib.pyplot as plt\n",
    "# provides a high-level interface for drawing attractive and informative statistical graphics\n",
    "import seaborn as sns\n",
    "# high-level Python visualization library : wrapper for Plotly.py that exposes a simple syntax for complex charts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Importing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "  </tbody>\n",
       "</table>\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",
       "   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",
       "   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  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('D://Machine Learning//Task 3 - Dataset.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.Shape of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows:  9994\n",
      "Number of columns:  13\n"
     ]
    }
   ],
   "source": [
    "# print rows and columns number count\n",
    "print('Number of rows: ',df.shape[0])\n",
    "print('Number of columns: ',df.shape[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4.column names of table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Ship Mode', 'Segment', 'Country', 'City', 'State', 'Postal Code',\n",
       "       'Region', 'Category', 'Sub-Category', 'Sales', 'Quantity', 'Discount',\n",
       "       'Profit'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gives names of columns\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Check the attribute types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check data type of columns/attributes\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6.Check the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7.Check the dataset for duplicate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gives count of duplicates\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8. drop duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drops duplicates\n",
    "df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 9.Checking the unique values in columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# return number of unique elements in the object\n",
    "df.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 10. Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the pairwise correlation of all columns in the dataframe\n",
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JO+cSgf+d7g8XERHJFQI/Q34rUDHddgW8Lfb0ugJPOuccsNHM/gCqACtP96LZjcmLiIjkDc759zm1VUBlM6tkZmcBt+Ltmk/vL6AFgJmdA1yEn3PgfFnxTkREJLwFuCXvnEsys37AZ4AHeNU595OZ9U49PgV4HHjNzH7A270/xDkX5891VcmLiIgEgXNuLjA3074p6b7fDsScyWtmt6ztD5w4KQC8f10455wWxBERkfCQg1et80d2LXk9JiciInlDXntBjXPuz2AGIiIiEjJh2pI/5ex6M6tvZqvM7JCZ/W1myWZ22s/siYiISHD4MvHuBbxT/WfjXfGuM3BBIIMSEREJKt8eg8t1fJpd75zbaGYe51wy8D8z+9rXC7S4vMdpByew8LtpoQ4hV3u21iOhDiHX+ygpNtQh5GqzymW10JnkOGHaXe9LJX8k9cH9dWY2FogFigQ2LBERkSAK00relxXv7khN1w84jHdZvhsCGZSIiEhQBeF98qHgSyV/nXPuqHPugHPuUefcQPR4nYiISI7nSyXfJYt9d57hOERERELGpTi/PjlVdivedcT7mtlKZpZ+Ef3iQHygAxMREQmaMB2Tz27i3dd4J9lFAuPS7T8IfB/IoERERIIqB4+r++NUK979aWYtgQTnXIqZXYj33bY/BCtAERGRgMvBXe7+8GVMfglQ0MzKAwvxvtT+tUAGJSIiIv7zpZI359wRvI/NTXTOXQ9UDWxYIiIiQZSS4t8nh/JlMRwzswZAJ6DbvzhPREQkd8jBFbU/fKms7wOGAe85534ys/OALwMbloiISBDl1bXrnXOLgcVmVszMijrnNgH9Ax+aiIiI+OOUlbyZXQbMAEp5N2030Nk591OggxMREQmKPNxd/xIw0Dn3JYCZNQWmAQ0DGJeIiEjwhOkjdL5U8kX+qeABnHOLzExvoRMRkfCR1xbDSWeTmT0MvJ66fTvwR+BCEhERCbIwbcn78pz8XUAZ4N3UTyTeBXFEREQkB8vuBTUFgd7ABXiXsb3fOXcsWIGJiIgEi8uDE++mA8eApUBb4GK8z8yLiIiElzDtrs+ukq/qnLsMwMxeAVYGJyQREZEgC9OJd9mNyad1zTvnkoIQi4iIiJxB2bXkLzezA6nfG1AoddsA55wrHvDoREREgiGvddc75zzBDERERCRk8uDEOxERkbwhr7XkRURE8ow8OPFOREREcjG15EVERNRdLyIiEp7y4op3uVb/x+6mfvN6JCYkMmbAWNb/uOGENOUqRjFi0nCKlyzG+h82MKr/kyQdS6LV9S24re+tACQcSWDcsOf4/edNaedFREQw9dNJxO2IZ2iXh4KWp5xo+OjxLFm2klIlz+b9mVNCHU6OV6lJNVqMuAPzRPD9m4tYMfmjDMerXteQur2vBuDYkaPMf+g1dv/yVyhCDbl705Xh0dmU4ZGThlMsizLcKbUMH8lUhm/u0YGrO7bDOcemX/9gzMCx/J0Yvqt1F2xQh5KD7oaICA6/P5cD09/MMt1ZVS/inP9NJO7BUSQsXAJAsds6UOTadoDj2MY/iH90LPwdvvcqXFvyYTcmX795XSpUqsBtjTvz9JDxDBxzb5bpej3Ug7enzeG2xl04uP8QV3VsC0DslljuuXEAXVv1YPpzMxn81MAM593Y/Qb+3JA3/+HN7Lp2rZgyflSow8gVLMJo+XgXZncZyystH+Dia+pTunJ0hjT7tuxm1s2jeK3Ng3w94X1aj7krRNGG1j9luGPjzowdMp77T1KGe2cqw1enK8P9bhzAnall+IHUMhwZFUmHu66ne7s+dGnRnQhPBC2ubR60fAVdRAQlh/RnV/9hxN50F4VbNydfpf9mme7se3pwdPm3abs8ZSIpdsv17Ozchx23dIeICIrEhPG9Am8l788nhwq7Sr5x60Z89s58AH5e8wtFSxSldNlSJ6Sr2agGiz9ZDMC82fO5onUjAH789mcO7T8EwE9rfqZMuTJp55QpF0mDFvX4ZNbcQGcjV6hd/TJKFC8W6jByhXLVz2ff5p3s37KblGPJ/PLRci5oVStDmu2rN5B44Ij3+zUbKVbuxN/bvKBx60bM87EML/qXZdiTz0OBggXweCIoWKggcTviAp2dkDnrkiokbdlG8rZYSEriyPwvKdyk4Qnpit1yHUe+WErynn0ZD3g8WIEC4IkgomBBkneH770KZ/+6kjezCDPLsavdRUZFsmv77rTt3bG7iYyKzJCmRMniHNp/iOTklJOmAbj61ras+PL4kv33PHo3k0dNJSUH/9UmOVPRqJIcjN2Ttn0wdg/FokqeNH21W5vyx6LvgxFajlMmQGU4bkccb06ZzTsrZ/H+2tkcOnCIVUtWBzAnoeUpG0nyzuP3MWnXbjxlM94jT5lICjVtzKE5GYeOknfHcXDmbKI/nkX5ebNJOXSIoyvC914B3kfo/PnkUD5V8mb2f2ZW3MyKAD8Dv5nZ4GzS9zSzb83s29jD285UrD4xO3Gfc86XRBk2azSszlUd2zJl9DQAGrSsz964vaz/4cSxQZFTMU78ncv8a/mP/zS4mGq3NGHRmKzHT8OdL2XYskiUOc0/ZXhyahkuWqIojVs35Jb6nbiu5s0UKlyImBtanrnAc4NM96jk/X3ZN3HaCau9WbGiFGrSkO3XdGJbm5uxQoUo3DbM71WYdtf7OvGuqnPugJl1AuYCQ4DVwNNZJXbOTQWmAlxZvkXAc399l2u5ulM7AH5d9xtlo9N3sZchfmd8hvT79+ynaImieDwRJCenUKZcGeLSpTnv4vN44On7GXzHMA7s9S7ff1ntS2gU05D6zetxVoGzKFKsMMMnDGNU/zGBzp6EgYM79mTofi9WrhSHdu49IV2ZKhVp/VR33unyNEf3HQpmiCF1fZdraf8vyvC+LMpw+jTnX3weQzKV4dpX1CT2rx3s27MfgMWfLuXS2lWZ/+7ngc5eSCTvisNzzvH7mK9sGZJ3Z7yPZ118IZGjhwMQcXYJCjWqy56kZMjnIWn7DlL2ee9VwpdLKVCtKkc+Dc97BeBycEXtD1+76/ObWX7gOuAD59wxIMfckfemf0C3mF50i+nF0s+W0frGGACq1ryYwwcOE79rzwnnrP16HU2uagJAm5ti+Gr+1wCUjS7LqGkjeeLeMWzdtDUt/dQnX+HG2rdyS/1OPNp3FGuWrVMFLz6L/W4TJStFUaJiGSLye7i4fX02LliTIU2x6NJc99J9fDJgCnv/2BGiSEPjvekfcFdML+5KLcNt0pXhQ9mU4abpyvDSTGV41L1j2JKuDO/atotLal5MgYIFAKjVuGZYT6L9++dfyV+xPJ7oKMiXj8IxzUhY8nWGNNuvvZ3t13Ri+zWdOLJwCXuemkDC4mUk79jFWZde7B2TBwrUqcmxzeF7r8KZry35l4DNwHfAEjP7L3Ag2zNCZPnCFTRoXo9Zy14nMeEoYwYe72wYO2M0Tw0eR/zOeKY8MY2Rk4bT/YGubPhpI5/M+hSAOwfcQYmSxRkw2jujNzkpmZ7t+oYkLznd4BFPsmrt9+zbd4AW191O32530KF961CHlSO55BQ+f2Q6N814APNE8MPbi4nfsI3qnbwzlte98QWN7r2eQiWL0urxO1PPSWZG+0dCF3SIfLNwBfWb1+PNZa9zNJsyPPkkZbhrahkemK4M92jXl5/X/sqiT5bwymdTSE5KZsNPG/nwjU9CksegSE5hz9MTKTvxKfBEcPjDTzm26U+KdvA+pnlozscnPfXvn34lYeESot6YgktO5thvGzn0bhjfK8jRXe7+sBPGq3090SyfL++ZD0Z3fThb+N20UIeQqz1bK+9VkmfaR0mxoQ4hV3ujXKgjyP3+8+3CLGZqnFkH+7Xzq64q9sLcgMd4OnydeHeOmb1iZp+mblcFugQ0MhERkWAJ04l3vo7JvwZ8Bvyzesd64L5ABCQiIhJ0QajkzayNmf1mZhvNbOhJ0jQ1s3Vm9pOZLfY3W75W8pHOubeBFIDUbvpkfy8uIiKSF5iZB3gRaAtUBTqm9oqnT3M2MAm4xjl3CXCTv9f1deLdYTMrTeqMejOrD+z39+IiIiI5wenOT/sX6gIbnXObAMzsTeBavGvP/OM24F3n3F+pMe3y96K+VvIDgQ+B881sGVAGuNHfi4uIiOQIgR9XLw9sSbe9FaiXKc2FeB9ZXwQUA553zs3w56I+VfLOuTVm1gS4CDDgt9Rn5UVERHI/Pyt5M+sJ9Ey3a2rqwnBpSbI4LfNF8wG1gBZAIeAbM1vunFt/unFlW8mb2Q0nOXShmeGce/d0LywiIpJT+LviXfqVXk9iK1Ax3XYFYHsWaeKcc4fxDpMvAS7HO9n9tJyqJd8+m2MOUCUvIiJyaquAymZWCdgG3Ip3DD69D4AXzCwfcBbe7vxn/blotpW8c66rPz9cREQkVwjwmLxzLsnM+uF9HN0DvOqc+8nMeqcen+Kc+8XM5gHf432a7WXn3I/+XNfXiXeY2VXAJUDBdEE/5s/FRUREcoQgvC3WOTcX70ve0u+bkmn7aU7y8rfT4VMlb2ZTgMJAM+BlvDPrV2Z7koiISC6R199C19A51xnY65x7FGhAxgkEIiIiksP42l2fkPr1iJlFA3uASoEJSUREJMjCtCXvayX/cepye2OB1an7Xg5MSCIiIkEWhDH5UDjVc/J1gC3OucdTt4sCPwC/4ue0fhERkZwir47JvwT8DWBmVwJPpu7bT/YP/YuIiOQeKX5+cqhTddd7nHN7Ur+/Be8yfXOAOWa2LrChiYiIiD9OWcmbWb7UV8u2IOO6vD4/Yy8iIpKThWt3/akq6lnAYjOLwzvDfimAmV2AXjUrIiLhIgd3ufvjVMvaPmFmC4FywHx3/IW7EcA9gQ5OREQkGFxerOQBnHPLs9h32m/EERERyXHCtJL3dcU7ERERyWU0eU5ERPK8PNtdLyIiEvZUyYuIiISncG3Ja0xeREQkTKklLyIieV64tuRVyYuISJ6nSv40FYk4K9CXCGvP1nok1CHkagNWPxbqEHK9hTXuDnUIudrQ3QVDHUKu93/BuIizYFwl6NSSFxGRPC9cW/KaeCciIhKm1JIXEZE8z6Wou15ERCQshWt3vSp5ERHJ85wm3omIiISncG3Ja+KdiIhImFJLXkRE8jxNvBMREQlTzoU6gsBQJS8iInleuLbkNSYvIiISptSSFxGRPC9cW/Kq5EVEJM/TmLyIiEiYUkteREQkTIXrineaeCciIhKm1JIXEZE8L1yXtVUlLyIieV5KmHbXq5IXEZE8L1zH5FXJi4hInheus+s18U5ERCRMqSUvIiJ5nhbDERERCVPh2l2vSl5ERPK8cJ1drzF5ERGRMKWWvIiI5Hnh+gidWvIiIpLnOeffxxdm1sbMfjOzjWY2NJt0dcws2cxu9DdfYdeSr9W0Fr1H9ibCE8G8WfOYPWn2CWl6P9qbOs3rkJiQyLiB4/j9x98BGPDMAOq2qMu++H30adknLf0dg+6gQUwDUlJS2B+/n3EDx7Fn556g5SknqNSkGi1G3IF5Ivj+zUWsmPxRhuNVr2tI3d5XA3DsyFHmP/Qau3/5KxSh5hrDR49nybKVlCp5Nu/PnBLqcEKmdmqZ9Xgi+HTWPN7Oosz2ebQ3dZvX4Whqmd2YWmZPdu55Vc+j/5h7OKtAfpKTk3nhoRf5bd16ACpVOZf+T/anSNHCpLgU7rn6Xo4lHgtehgOsWpMadB7RjQhPBF+++TkfTX73hDSdR3ajerNa/J2QyJRBE9n84yYAChcvTI+n7qbihf/BAVMHv8CGNb8BEHNnO2I6tyMlOZm1X6xm1pgZwcxWwAV6TN7MPMCLQCtgK7DKzD50zv2cRbqngM/OxHXDqiUfERHB3aPu5uHOD9OreS+aXtuU/1T+T4Y0dZrVIbpSNN2u6MaEIRPoN7pf2rEFsxcw/I7hJ/zcOVPm0DemL/3a9GPF5yu47d7bAp6XnMQijJaPd2F2l7G80vIBLr6mPqUrR2dIs2/LbmbdPIrX2jzI1xPep/WYu0IUbe5xXbtWTBk/KtRhhNQ/ZXZ454fp0bwXzU5SZstXiqbrFd14fsgE7kkts9md2/2hbsx89g36tunHjGdm0u3Bbt5zPBE8MOEBJpGSV5UAACAASURBVA6bSM+WvRl80xCSjyUHN9MBZBERdH28J2O7PM7glv1peE1jyleukCFN9WY1iaoUzcAmfXl52GTuGtUr7VjnEd35bvFaBrW4h6FtBrBt4xYAqja4lNqt6jK0zX080OpePpn6QVDzFQzOmV8fH9QFNjrnNjnn/gbeBK7NIt09wBxg15nIV1hV8hdWv5Dtm7ez468dJB1LYvGHi6kfUz9Dmvox9Vk4ZyEAv679laLFi1KybEkAflzxIwf3HTzh5x45dCTt+4KFCwYwBzlTuerns2/zTvZv2U3KsWR++Wg5F7SqlSHN9tUbSDzgvU/b12ykWLlSoQg1V6ld/TJKFC8W6jBC6qJMZXbRh4tpkKnMNoipz+fpymyR4kUpVbZktuc65yhSrDAARYoXZs/OeABqXVmLP375g02//AHAwX0HSUkJnzeTXFC9Mjs3x7Jry06SjyXxzUdfUatV3QxparWqy9I5XwKwce16ChcvwtllS1KoaCGq1KvKojc/ByD5WBJHUst0y9vb8OGkd0n6OwmAA/H7g5ir3MHMeprZt+k+PTMlKQ9sSbe9NXVf+p9RHrgeOGNdez5115vZHOBV4FPncu67eiKjItm9fXfadlxsHBfVuChDmtJRpYnbHpchTWRUJHt37c32Z3d5oAstOrTg8MHDDL35pEMpYaloVEkOxh4fnjgYu4foGuefNH21W5vyx6LvgxGa5HKlsyizVTKV2cio0uzOVGZLR0Vme+6UkS8xeuYoegzvjkUYA667H4AK55XHOccTM0dRolQJFn+4mNlT3glkFoOqZFQp4mOP36s9sfFcUOPCTGlKs2d7/PE0O+IpeU4pUpKTORh/gF7P3MN/q57LHz/8zoyRr5CYkEhUpWguqluVmwd34ljiMd544jU2fb8xWNkKCn8Xw3HOTQWmZpMkq+Z+5qs+BwxxziWbnZnhA19b8pOB24ANZvakmVU5I1c/03y4hVndOOfD/93pY6fTuV5nvnzvS9rf2f40A8ydLIsbe7Jb9p8GF1PtliYsGvNmgKOScJDVv2Mn/G6dpMxmd+7Vd1zFS49O5fZ6nXnp0akMfPo+ADz5PFxa5xKeumcs998wiIZtGlK9UXU/c5FzZF1WM97QLOsO54jweDj30vP4fOY8Hmx3P4lHErmm7w2A974VKVGER64bwv+Nnk7/SYMCEX5IpTjz6+ODrUDFdNsVgO2Z0tQG3jSzzcCNwCQzu86ffPlUyTvnPnfOdQJqApuBBWb2tZl1NbP8mdOn77bYcmhL5sMBExcbR5noMmnbkeUiid8Zf0KayOjIbNNkZ9H7i2jUrpH/weYiB3fsydD9XqxcKQ7tPLHno0yVirR+qjvvdn+Wo/sOBTNEyaV8LbNlMpXZPTvjsz231Y0t+erTZQAs+XgpF1b3tvB3x8bx/YofOLD3AIlHE1n15SouuPTkvVK5zZ4d8ZQud/xelSpXmr2ZJgnviY2nVHTp42miSrN311727IhnT2w8v6/bAMCKuV9z7qXnpZ4Tx6p5ywH4/bsNuBRHsVLFA52doArCmPwqoLKZVTKzs4BbgQ8zxuAqOefOdc6dC7wD9HXOve9Pvnwekzez0sCdQHdgLfA83kp/Qea0zrmpzrnazrnaFYtWzHw4YNZ/t57oc6M5p+I55MufjybXNGH5guUZ0ixfsJwWHVoAUKVGFQ4fPHzKrvroc49PMqvfqj5bN24988HnYLHfbaJkpShKVCxDRH4PF7evz8YFazKkKRZdmuteuo9PBkxh7x87QhSp5Da/fbee8unKbNOTlNmW6crskYOH2bNrb7bnxu+Mp1r9ywCo3qg62//YBsDqxaupVKUSBQoWIMITQbV6l/HXhvB5CuT37zYQVakcZSqWxZM/Hw3aN2b1glUZ0qz+fBVXdGgGwAU1LiTh4BH27drL/t37iI+No9x53n/vLm1UjW0bvP/WfTt/JZc0rAZAVKVo8uXPx8E9B4KYs8ALdEveOZcE9MM7a/4X4G3n3E9m1tvMegcqX76Oyb8LVAFeB9o752JTD71lZt8GKrh/KyU5hckPT2bUzFF4PB7mvzWfv9b/Rbvb2wEwd+ZcVn2xijrN6/DqV69yNOEoz97/bNr5Q14YQrX61Sheqjivr3yd18e9zvy35tN1WFcqnF8Bl+LYtXUXEx+cGKoshoRLTuHzR6Zz04wHME8EP7y9mPgN26jeqTkA6974gkb3Xk+hkkVp9fidqeckM6P9I6ELOhcYPOJJVq39nn37DtDiutvp2+0OOrRvHeqwgiolOYUXH57M6JmjiEgts3+u/4urUsvsJzPnsjK1zP7vq1dJTDjKuNQye7JzAZ4bMoE+I3vhyefh78S/eW7oBAAO7T/Eu9PeZeLHz+NwrPxiFSu/WJV1cLlQSnIKrz0yjaEzRhDhiWDR2wvZtmELLTp5f68WvvEZ675YTfVmtXh2yWQSExJ5adDxf8+mj5jG3c8PIF/+fOz6a2fasUVvL6TX0/14av7zJB07xuT7J4Qkf7mdc24uMDfTviwn2Tnn7jwT1zRfxqPNrF1qcOn3FXDOJZ7q3LYV24bpu32Co1lE6VMnkpMasPqxUIeQ611d4+5Qh5CrlY7Ie0/knGn/9+d7AV+Obnn0DX7VVfW3v5sjl8zztbs+q4d5vzmTgYiIiIRKECbehUS23fVmFoX3Ob5CZlaD4/PXiwOFAxybiIhIUITr2vWnGpNvjXeyXQVgfLr9B4EHAxSTiIiInAHZVvLOuenAdDPr4JybE6SYREREgirHrvLmp1N119/unJsJnGtmAzMfd86Nz+I0ERGRXMVluZpa7neq7voiqV+LZnFMs+ZFRCQspIRpjXaq7vqXUr/93Dm3LP0xM8tby76JiEjYSgnTlryvj9BltfpL3loRRkREJJc51Zh8A6AhUCbTmHxxwBPIwERERIIlr47Jn4V3PD4fkP7F1wfwviFHREQk18uTs+udc4uBxWb2mnPuzyDFJCIiElR5tSX/jwJmNhU4N/05zrnmgQhKRERE/OdrJT8bmAK8DCQHLhwREZHgy5Pd9ekkOecmBzQSERGREMnrlfxHZtYXeA9Ie72sc25PQKISEREJorw+Jt8l9evgdPsccN6ZDUdERCT4UsKzjvetknfOVQp0ICIiInJm+dqSx8wuBaoCBf/Z55ybEYigREREgilcl7X1qZI3sxFAU7yV/FygLfAVoEpeRERyvTB9P43Pa9ffCLQAdjjnugKXAwUCFpWIiEgQpfj5yal87a5PcM6lmFmSmRUHdqFJdyIiEiZSLA931wPfmtnZwDRgNXAIWBmwqERERMRvvs6u75v67RQzmwcUd859H7iwREREgidcx+R9nXh3ZVb7nHNLznxIIiIiwZWTx9X94Wt3ffpFcAoCdfF22+sFNSIikuvl9cVw2qffNrOKwNiARCQiIiJnhM+L4WSyFbj0TAYiIiISKnl9MZyJHJ+XEAHUAL4LVFAiIiLBlKcn3gG/Ap7U7+OBWc65Zb6ceHaE1szxx0dJsaEOIVdbWOPuUIeQ63289sVQh5CrFYq+ItQh5Hr/F4Rr5MkxeTPLDzwNdAY2AwaUBSYCy8yshnNubaCDFBERCaS8Ort+HFAY+K9z7iBA6op3z5jZZKANoDfUiYiI5ECnquTbAZWdc2nDFc65A2bWB4jD+6IaERGRXC2vjsmnpK/g/+GcSzaz3c655QGKS0REJGjCdUz+VG+h+9nMOmfeaWa3A78EJiQREZHgyqtvobsbeNfM7sK7wp0D6gCFgOsDHJuIiEhQ5OSK2h/ZVvLOuW1APTNrDlyCd3b9p865hcEITkRERE6fr8vafgF8EeBYREREQsKF6Zj86S5rKyIiEjbyZHe9iIhIXhCulfypZteLiIhILqWWvIiI5Hl5dTEcERGRsBeui+GokhcRkTxPY/IiIiJhKhgr3plZGzP7zcw2mtnQLI53MrPvUz9fm9nl/uZLlbyIiEiAmZkHeBHvi92qAh3NrGqmZH8ATZxz1YDHgan+XleVvIiI5HnOz48P6gIbnXObnHN/A28C12aIwbmvnXN7UzeXAxX8yRNoTF5ERCQYE+/KA1vSbW8F6mWTvhvwqb8XVSUvIiJ5nr8T78ysJ9Az3a6pzrn03e1Z/RmRZSeAmTXDW8k39jMsVfIiIiL+PiefWqFnN4a+FaiYbrsCsD1zIjOrBrwMtHXOxfsZlsbkRUREgmAVUNnMKpnZWcCtwIfpE5jZf4B3gTucc+vPxEXVkhcRkTwvJcBr3jnnksysH/AZ4AFedc79ZGa9U49PAR4BSgOTzAwgyTlX25/rqpIXEZE8LxiL4Tjn5gJzM+2bku777kD3M3lNVfIiIpLnheva9RqTFxERCVNqyYuISJ4XrmvXq5IXEZE8T2+hExERCVOBnl0fKmFXyV/epAadR3QnwhPBl28u4MPJ756QpsvI7lRvVou/ExKZPGgCm3/cBMCEr6aScDiBlOQUUpKTeaj9IAD+W7US3Z7oTf4CZ5GSnMyrw1/i9+82BDVfwXTvY3dTv3k9EhMSGT1gLOt/PDGv5SpGMXLScIqVLMb6HzYwqv+TJB1LotX1LejU91YAjhxJYNyw5/j9Z+/9vblHB67u2A7nHJt+/YMxA8fyd+KxoOYtEGo3rUXvkb3xeCL4dNY83p40+4Q0fR7tTd3mdTiakMi4gePY+OPv2Z57XtXz6D/mHs4qkJ/k5GReeOhFflvnfWy2UpVz6f9kf4oULUyKS+Geq+/lWBjcx39r+OjxLFm2klIlz+b9mVNOfUIe9ez4x2jbpjlHEhLo1m0Aa9f9eEKaGdMnUqvW5Rw7doxVq9bRp+8QkpKS6NjxegYP6gvA4UNHuPueYXz//c/BzkJQhGcVH2YT7ywigq6P9+KpLo8xqOU9NLzmCspXzri+f/VmtYiqVI4BTfowbdgkuo3qneH4qFuHM6zdgLQKHuC2YV2Y8/xbDGs3gNnjZ3HbsC5ByU8o1G9elwqVKtCxcWfGDhnP/WPuzTJd74d68Pa0OdzWuAsH9x/i6o5tAYjdEku/GwdwZ6seTH9uJg88NRCAyKhIOtx1Pd3b9aFLC+8fYS2ubR60fAVKREQEd4+6m+GdH6ZH8140u7Yp/6n8nwxp6jSrQ/lK0XS9ohvPD5nAPaP7nfLc7g91Y+azb9C3TT9mPDOTbg92857jieCBCQ8wcdhEerbszeCbhpB8LDm4mc4hrmvXiinjR4U6jBytbZvmVL6gElWqNqZPnyG8+MKYLNPNmvUel1x6JdVrtKBQoYJ0u+s2ADb/sYXmLW6kZq1WPDH6OaZMeiqY4csZEFaV/AXVK7Njcyy7tuwk+VgS33z0FbVbZVz/v1aruiydswiAjWvXU7h4Ec4uWzLbn+uco1DRQgAULlaYvbv2BCT+nKBx60bMe2c+AD+v+YWiJYpSumypE9LVbFSDRZ8sBmDe7Plc0boRAD9++zOH9h8C4Kc1P1OmXJm0czz5PBQoWACPJ4KChQoStyMu0NkJuIuqX8j2zdvZ8dcOko4lsejDxTSIqZ8hTYOY+nw+ZyEAv679lSLFi1KqbMlsz3XOUaRYYQCKFC/Mnp3e1S1rXVmLP375g02//AHAwX0HSUkJ1ylD2atd/TJKFC8W6jBytPbtW/P6G+8AsGLlGkqcXYKoqLInpPt03hdp369atY4KFcoB8M3yb9m3bz8Ay1esoXz5ckGIOjSC8T75UPCpkjez133ZF2olo0oRH3u84oiPjadkVMYKqlRUKeK3H0+zZ0c8pc7xpnE4hs0cyRMfj6N5x5i0NDMee4VOD97JC9+8TKeH7uTNp3Jc1s+YMlGR7Nq+O217d+xuIqMiM6QpUbI4h/YfIjk55aRpAK6+tS0rvlwJQNyOON6cMpt3Vs7i/bWzOXTgEKuWrA5gToKjdFQku9Pdr7jYOCKjSmdIExlVmt3pfufiYuMoHRWZ7blTRr7kbc2vmEGP4d159cnXAKhwXnmcczwxcxQvzJ3ITb1vDGDuJLcrHx3F1i3Hl0fftjWW8tFRJ02fL18+OnXqwGeffXnCsbu63sq8LPaHixScX5+cyteW/CXpN8zMA9Q6WWIz62lm35rZtxsPbfYjvH/HsnrJT6Z7n7pUYMYkqWlG3jCUB6+6n6e6PEZM57ZUqVsVgFa3t+H1x1+lX4PuvP7Yq/Qc2+9Mh55jZHF7cM5lSpPVPcyYpkbD6lzVsS2TR08DoGiJojRu3ZBb6nfiupo3U6hwIWJuaHnmAg+RrO/XqRM557I99+o7ruKlR6dye73OvPToVAY+fR/g7Q25tM4lPHXPWO6/YRAN2zSkeqPqfuZCwpUvZTW9FyaOZunSFXy1bGWG/U2bNKRr144Me3D0GY8xpwjC++RDIttK3syGmdlBoJqZHUj9HAR2AR+c7Dzn3FTnXG3nXO0Lip57ZiPOxp4d8ZQud7xFWbpcafbuzNi1Hh8bT+no42lKRZVO637fu2svAAfi97PqsxWcX70yAFd2aMbKT78BYPknyzj/8soBzUewXd/lWl6d/xKvzn+JuB3xlI0+3sVeplwZ4ndmfBHSvj37KVqiKB5PRJZpzr/4PIY8fT8P3vUIB/YeAKD2FTWJ/WsH+/bsJzkpmcWfLuXS2lWDkLvAiouNo0y6+xVZLvKE++VNE5khzZ6d8dme2+rGlnz16TIAlny8lAurXwTA7tg4vl/xAwf2HiDxaCKrvlzFBZeeH7D8Se7Tp3cXvl01n29XzWd77A4qVIxOO1a+Qjm2x+7M8ryHhw+gTJnSDBo8MsP+yy67mJemPM0NHe5iz569gQw9pPJkd71zboxzrhjwtHOueOqnmHOutHNuWJBi9Nnv320gqlI5ylQsiyd/Phq0b8zqBRn/Il3z+Uqu6NAUgAtqXMiRg4fZt2svBQoVoGCRggAUKFSAaldWZ+tvfwGwd9ceLq5/KQCXNKrGjs2xwctUELw3/QPuiunFXTG9WPrZMtrc6B2qqFrzYg4dOEx8FnMQ1n69jqZXNQGgzU0xLJ3/NQBlo8syatpIRt07hi2btqal37VtF5fUvJgCBQsAUKtxTf7c8FegsxZwv323nvLnRnNOxXPIlz8fTa9pwvIFyzOkWb5gOS07tACgSo0qHDl4mD279mZ7bvzOeKrVvwyA6o2qs/2PbQCsXryaSlUqUaBgASI8EVSrdxl/hcF9lDNn8pTp1K4TQ+06MXz44Wfc0ck7pFOvbk0O7D/Ajh27Tjjnrq4diWnVlE63352hpV+xYjSz35rGnV3vZcOGTUHLg5w5Pj1C55wbZmblgf+mP8c5tyRQgZ2OlOQUXntkGsNmjCDC42HR25+zdcMWWnZqDcDnb3zG2i9WU71ZLZ5bMoXEhEReGjQBgBKRZzNw6lDA2yW67IMlfLd4LQDThkyi88jueDwRHEs8xstDJ4Umg0HwzcIV1G9ejzeXvc7RhKOMGfh02rGxM0bz1OBxxO+MZ/IT0xg5aTjdH+jKhp828smsTwHoOuAOSpQszsDR3ln5yUnJ9GjXl5/X/sqiT5bwymdTSE5KZsNPG/nwjU9CksczKSU5hRcfnszomaOI8HiY/9Z8/lz/F1fd3g6AT2bOZeUXq6jTvA7/++pVEhOOMu7+Z7M9F+C5IRPoM7IXnnwe/k78m+eGen9PD+0/xLvT3mXix8/jcKz8YhUrv1gVmsyH2OART7Jq7ffs23eAFtfdTt9ud9ChfetQh5WjzP10IW3aNOe3X5ZxJCGB7t0Hph376IMZ9Ow9mNjYnUx68Un+/HMrXy31vvn0/ffnMuqJ5xj+0ABKly7JxInebvqkpCTqN2gXkrwEWk4eV/eHZTc+k5bI7Em87779GfjneR3nnLvmVOd2/O914XnngmRr0sFQh5CrFY44K9Qh5Hofr30x1CHkaoWirwh1CLle0t/bAr4e3YBzb/Wrrnp285s5cs08XxfDuR64yDmXGMhgREREQiEnj6v7w9fZ9ZuA/IEMRERERM4sX1vyR4B1ZrYQSGvNO+f6ByQqERGRIHJhOibvayX/YepHREQk7IRrd72vs+unBzoQERGRUAnX2fU+VfJm9gdZLOrjnDvvjEckIiISZOFZxfveXV873fcFgZuAE99aIiIiIjmGT7PrnXPx6T7bnHPPAbn/PaEiIiKE7wtqfO2ur5luMwJvy17veBQRkbCQpyfeAePSfZ8EbAZuPuPRiIiIhECefoTOOdcs0IGIiIiESri25H0akzezEmY2/p93xJvZODMrEejgRERE5PT5uqztq8BBvF30NwMHgP8FKigREZFgcn7+l1P5OiZ/vnOuQ7rtR81sXSACEhERCbY83V0PJJhZ4382zKwRkBCYkERERIIrxTm/PjmVry35PsD0dOPwe4E7AxKRiIiInBG+zq5fB1xuZsVTtw8ENCoREZEgyrltcf/4Ort+tJmd7Zw74Jw7YGYlzWxUoIMTEREJhnBd8c7XMfm2zrl9/2w45/YC7QITkoiISHDl9dn1HjMr4JxLBDCzQkCBwIUlIiISPOE6u97XSn4msNDM/od36OIuQO+YFxERycF8nXg31sy+B1oCBjzunPssoJGJiIgESU4eV/eHr2+hKwLMd87NM7OLgIvMLL9z7lhgwxMREQm8nDyu7g9fJ94tAQqaWXngc6Ar8FqgghIREQmmFD8/OZWvlbw5544ANwATnXPXA1UDF5aIiEjwOOf8+uRUPlfyZtYA6AR8krrP10l7IiIiEgK+VtT3AcOA95xzP5nZecCXgQtLREQkePL0xDvn3GJgcbrtTUB/X879K0kr4PpjVjkLdQi52tDdBUMdQq5XKPqKUIeQqyVsXxrqEMQHOXlc3R/ZVvJm9pxz7j4z+4gslvZ1zl0TsMhERESCJFxn15+qJf966tdnAh2IiIiInFnZVvLOudWpXxebWZnU73cHIzAREZFgCdcx+Wxn15vXSDOLA34F1pvZbjN7JDjhiYiIBF4wHqEzszZm9puZbTSzoVkcNzObkHr8ezOr6W++TvUI3X1AI6COc660c64kUA9oZGYD/L24iIhIThDoxXDMzAO8CLTFu85MRzPLvN5MW6By6qcnMNmvTHHqSr4z0NE598c/O1Jn1t+eekxERCTXC8KrZusCG51zm5xzfwNvAtdmSnMtMMN5LQfONrNy/uTrVJV8fudcXOadqePy+f25sIiISLgws55m9m26T89MScoDW9Jtb03d92/T/Cunml3/92keExERyTX8nXjnnJsKTM0mSVaLnmS+qC9p/pVTVfKXm1lWq9kYoFVGREQkLARh/fmtQMV02xWA7aeR5l851SN0Hn9+uIiISG4QhEfoVgGVzawSsA24FbgtU5oPgX5m9ibeSe77nXOx/lxUL5kREREJMOdckpn1Az4DPMCrqe+C6Z16fAowF2gHbASO4H2tu19UyYuISJ4XjGVtnXNz8Vbk6fdNSfe9A+4+k9dUJS8iInleSg5+J7w/VMmLiEieF55VvCp5ERGRvLl2vYiIiOReasmLiEieF64teVXyIiKS5wVhMZyQUCUvIiJ5nlryIiIiYSoYz8mHgibeiYiIhCm15EVEJM/TmLyIiEiY0pi8iIhImArXlrzG5EVERMKUWvIiIpLnqbteREQkTIXrI3Sq5EVEJM8L11fNhv2Y/H2P9eOtr15n+oJpXHhp5SzTlKsYxdSPXuTNr2bw2OSHyZff+7dP45iGTF8wjdfmT+WVuZOpVufSYIYecgUb1KHcnNco994Mine59aTpzqp6ERVXzKdQiyvT9hW7rQNRb71C1FsvU/qJh+Cs/MEIOeSqNanBM1+8wPjFk2jf54Ys03Qe2Y3xiyfx5LxnOffS89L2Fy5emHsnD+aZhRN5euFEKte8KO1YzJ3teOaLFxi74Hk6Dusc8HzkJM+Of4xff/6KNasXUKN61mVwxvSJ/PTjEtatXci0qePIl89bhjt2vJ41qxewZvUCli7+gGrVqgYz9Bxv+OjxXHnVrVx3e+9QhxJyzs//cqqwruQbNK9HhUrluaXxHYwdMp5BY+7LMl2fh3ry1rR3uLVxZw7uP8jVHdsBsPqrNXRp1YM7Y3oy+v6nGfrMoGCGH1oREZQc0p9d/YcRe9NdFG7dnHyV/ptlurPv6cHR5d+m7fKUiaTYLdezs3MfdtzSHSIiKBLTPIjBh4ZFRND18Z6M7fI4g1v2p+E1jSlfuUKGNNWb1SSqUjQDm/Tl5WGTuWtUr7RjnUd057vFaxnU4h6GthnAto1bAKja4FJqt6rL0Db38UCre/lk6gdBzVcotW3TnMoXVKJK1cb06TOEF18Yk2W6WbPe45JLr6R6jRYUKlSQbnfdBsDmP7bQvMWN1KzViidGP8eUSU8FM/wc77p2rZgyflSow5AACutKvnHrhsx7ZwEAP635hWIlilK6bKkT0tVqVINFnywGYO7s+VzZuhEACUeOpqUpWLhg2D5ikZWzLqlC0pZtJG+LhaQkjsz/ksJNGp6Qrtgt13Hki6Uk79mX8YDHgxUoAJ4IIgoWJHl3XJAiD50Lqldm5+ZYdm3ZSfKxJL756CtqtaqbIU2tVnVZOudLADauXU/h4kU4u2xJChUtRJV6VVn05ucAJB9L4siBIwC0vL0NH056l6S/kwA4EL8/iLkKrfbtW/P6G+8AsGLlGkqcXYKoqLInpPt03hdp369atY4KFcoB8M3yb9m3z3u/lq9YQ/ny5YIQde5Ru/pllCheLNRh5Agpzvn1yal8quTNbKEv+3KaMlGR7Nq+K217V+xuykRFZkhTomRxDu0/RHJyCgC7M6W5sk1j/m/xazwzfTSj7386OIHnAJ6ykSTv3J22nbRrN56yGe+dp0wkhZo25tCcjzLsT94dx8GZs4n+eBbl580m5dAhjq5YHZS4Q6lkVCniY4//MbMnNp5SUaUzpSnNnu3xx9PsiKfkOaUo+59zOBh/DqHP0AAAEL1JREFUgF7P3MPouePo8VRfChQqAEBUpWguqluVx95/ioffGsV51S4IToZygPLRUWzdsj1te9vWWMpHR500fb58/9/enYdXUaV5HP/+SNICoiCbgNKNjtIqiKi4gG2zKLSiotPaztiRBtRBXFrFrR0XRJ/RwaXdQKBxHEBFWh1td0RFEMQFAVlERFxQWwIIYVEJSJJ3/qgTuAm5uQmX3JvcvJ/nqSd1T22nTqrOqXPqVFU2ublnM3Xq9J2mXTDo33mtnHDnoI4210uqL6kp0FzSPpKahqEd0KaC5QZLmitp7qqfVsabrdpJ2imsbG080TwzX3uHP3YfyA0XDuM/rhu0+yNZm5RJu32uuZQNIx+B4uJS4dqrEQ26d2Nlv1y+O+Vc1KABDU89OZUxTQtRmeOtnAXNqJeVRbuOB/LmE69xY99r2Lp5K/0uje7pZ2VnsWfjPRl21l948s6JXDG67tw2qsw5HGvUyDuZNesD3pk9p1R4j+7dGDToPP7zxjt3exxdZsjUmnyi3vUXA1cRFejzY8I3AQ/HW8jMxgHjAE7Yr1dK9/73A86kX+5pACxdsIyWbXY07bVs3YK1q9eVmn9D/kYaNW5EVlY9ioqKaVHOPAALP1jEfr9qQ+N99mbj+k3VuxM1QNGatWTt22L77+yWLSj6vnS6/OLQ9jS/82YA6jVpTIMTjiW/sAiysyhcuYri0ExaMH0We3Q6jM1T3kzdDqRB/qp1NGu9o7WjaetmrF+dX3qevHU0bbOjdt+0VTPWr1mPmZGft44vFiwH4INX391eyOfnreXD194H4IuFy7FiY6+me/NDfmYeh5cMGcCFF+YCMHfuAvZvu6M+sd/+rVmZt7rc5W65eSgtWjTjkksvKhV++OGH8rex93B6v/7k56+vvoi7Wq0m18aTUWFN3sweNLMDgGvN7ICY4QgzG5WiOFbJcxNfYGCfwQzsM5iZU9/hlHN6A9DhqEP5cdNPrFuTv9My899dQI/TugPQ9w99mPX6bAD2a7cjc2nf8WBycnLqRAEP8PMnn5LTdj+y2rSC7Gwa9ulJwcx3S82z8szzWdkvl5X9ctk8bSb5dz1EwduzKVq1hl90PDS6Jw/sccxRbFvxTTp2I6W+WLicVge0pkXblmTlZNP1jN8w740PS80z780POfHsngAcdGR7Cn7YzIY169n4/QbW5a2l9YHRMdfxhE58t/yfAMx9fQ4dunUCoqb77JzsjC3gAcaMnUiXY/rQ5Zg+vPjiVPrnngPAcccexaaNm1i1as1Oy1ww6Dz69O5B7vmXlarpt23bhmeeeoSBg65k+fIvU7YPztUUFdbkJfUys7eA7yTt9DyQmT1XbTHbDd6b9gFdex3H07OfYEvBFu68+u7t0+597L8Zcd29rF29jjF3jOO20bcw+PoL+GzJ57w8eQoAPfr+llPP6UNhYSFbt2xl2CW3p2tXUq+omPx7RtJy5F2QVY+fXpzCti+/ptHZpwPw47Mvx1305yWfUjBtJq0mjcWKiti27HN+fO6VVMU8bYqLipkw7BFueOxW6mXVY8bT0/hu+beclPs7AKZNmsqCt+bRuefR3D9zDFsLtvK3a0duX37irY9w2YNDyc7JZs03q7dPm/H0NC6+53Luev1BCrdtY8w1D6Vl/9Lh1SnTOOWUXixbOpvNBQVcdNHV26e99MJjDB5yHXl5qxn98Ai+/vqfvDPrRQCef/5V/uuOB7j5pqE0a7YPI0dGzfSFhYUc37VvWvalJrru1hF8+NEiNmzYxElnnc+lF/bn7DN+l+5opUVNbnJPhiq6vyVpuJkNlzS+nMlmZhck2kCqm+szzeTW5d3EdZV1w/d7pzsKtd7TeXMSz+TiKlg5K91RqPVymh9Y7Rnhgc2PTKqs+nLtRzUys050T77kBtajZvZOdUfGOeecSwez4sQz1UKJHqEr6U5ed9oHnXPOuQyRqCa/VNIKoIWkRTHhImqu71RtMXPOOedSpE5+hc7MzpPUCpgK9EtNlJxzzrnUytQ3mib8Cp2ZrQKOkPQLoH0IXmZm26o1Zs4551yK1MmafAlJ3YHHgBVETfVtJQ0ws5nVGDfnnHMuJepsTT64D+hjZssAJLUHJgNHV1fEnHPOOZecyhbyOSUFPICZfSapbnwg3DnnXMbL1JfhVLaQnyfpUeDx8DsXyPzPijnnnKsTMvXd9ZUt5IcAlwFXEN2TnwmMrq5IOeecc6lUZ+/JS6oHzDOzjkT35p1zzrmMkqm96xO98Q6L3vW3UNIvUxAf55xzzu0mlW2ubw0skTQH+Kkk0Mz8BTnOOedqvTrbXB/cVq2xcM4559KoTvaul1SfqNPdQcBioq/RFaYiYs4551yqZGpNPtE9+YlAF6IC/lTgr9UeI+ecc87tFoma6w8zs8MBwnPyc6o/Ss4551xqZWrv+kSF/PaP0JhZoaRqjo5zzjmXepnaXJ+okD9C0qYwLqBB+F3yPfm9qzV2zjnnXArUyY53ZpaVqog455xz6ZLO19pKago8BbQj+trruWa2vsw8bYm+BtsKKAbGmdmDidad8GU4zjnnnKtWNwDTzOxgYFr4XVYhcI2ZHQocD1wm6bBEK/ZC3jnnXJ1XbJbUkKQziZ5mI/w9q+wMZpZnZvPD+A/AUmC/RCuu7MtwnHPOuYyV5o53+5pZXohHnqSWFc0sqR1wJPBBohV7Ie+cc67OS/aevKTBwOCYoHFmNi5m+ptE99PLuqmK22kEPAtcZWabEs3vhbxzzrk6L9mafCjQx1Uw/eR40yStltQ61OJbA2vizJdDVMBPMrPnKhMvvyfvnHPOpdeLwIAwPgB4oewMil5U8yiw1Mwq/dl3L+Sdc87VeWaW1JCkEUBvScuB3uE3ktpIejXMcwLQH+glaUEY+iZasTfXO+ecq/PS2e3OzNYBJ5UTvhLoG8bfIXoRXZUoU1/lV1mSBsd2jnBV52mYHE+/5Hj6Jc/TMHN5c33p3pBu13gaJsfTLzmefsnzNMxQXsg755xzGcoLeeeccy5DeSFfwXONrtI8DZPj6ZccT7/keRpmqDrf8c4555zLVF6Td8455zJUjSvkJRWFh/w/lvSMpIZVXL6dpD9Wcr6P40xrL+lVSZ9LWirpaUn7ViEOMyR1qUq8axJJN0laImlR+F8cV8G8EySdk8r4pZuk/SW9IGm5pC8ljZK0x27eRg9J3WJ+D5H0pzA+UFKb3bm9VIk5v5dIWijpakn1wrQukh5Kc/xuTOf2d5fdkI9ODuf/UEm3Szo5hF9V1XW59KpxhTxQYGadzawj8DMwpIrLtwMSFvLxSKoPvAKMMbODwrd7xwAtdnWdtYmkrsDpwFFm1gk4Gfg2vbGqOcKrJZ8Dng/ffj4YaADcvZs31QPYXsib2Vgzeyz8HAjUykKeHed3B6I3e/UFbgUws7lmdkVaYwcZUciTIB+VlBVvQUmtgG5m1snM7jezYWb2Zph8FeCFfC1SEwv5WLOAgyQ1lfR8uLJ8X1InAEndY17v95GkvYheB3hiCBsaauyzJM0PQ7cKtxhdILxnZi+VBJjZdDP7WFJ9SeMlLQ7b6xni0UDS30P8niLK9AnT+kh6L2z7mfAFoZqsNbDWzLYCmNlaM1spaZikD0PNYFwo7EqRdLSktyXNkzQ1fGgBSVdI+iSkz99TvD+7Wy9gi5mNBzCzImAo8CdJl0saVTKjpJcl9QjjYyTNDTXY22LmWSHptnB8LJZ0iKLPSA4Bhobj+ERJwyVdG1pNugCTwrTTJP0jZn29JVXqwxXpZmZriJ7PvlyRHpJehrjnNpKuD+m0UFLJqz87h3xhkaR/SNonhG9vUZPUXNKKMD5Q0nOSXlPUGnN3CB8BNAjbnJTq9KhGJfloD0nTJT0JLI6XnwGvAy1jjr0Jks6RdAXRxeV0SdPTtTOuipJ9X+/uHoAfw99sopf0XwKMBG4N4b2ABWH8JeCEMN4oLNMDeDlmfQ2B+mH8YGBuGG8HfFzO9u8DrowTt2uA8WH8EOAboD5wNfC/IbwTUEiUETcHZgJ7hml/AYalO40TpH8jYAHwGTAa6B7Cm8bM8zhwRhifAJwD5ADvAi1C+L/FpMlKYI8w3iTd+5hk+lwB3F9O+EdEtZxRMWEvAz1i0w/IAmYAncLvFcCfw/ilwP+E8eHAtTHr2v47LN8ljAv4NCbdnyz539TEoeT8LhO2Htg39tyNc26fGo6xhmXSdFHMcXo78EA56dQcWBHGBwJfAo3D+fs10DZe/GrjQPn5aA/gJ+CAMC1eftaOmLyx5ByPOV6bp3v/fKj8UBNr8g0kLQDmEh10jwK/ISpYMLO3gGaSGgOzgfvCFWYTMyssZ305wCOSFgPPAIclEbfYeHxKlDm0B34LPBHCFxFlOgDHh+3NDvs0APhVEtuvdmb2I3A0UQ3re+ApSQOBnpI+COnYC+hQZtFfAx2BN8K+3gzsH6YtIqp5nk90AVSbifJfc53ondLnSppPdDHQgdLHYUnNex5RBltpFuW8jwPnS2oCdAWmVGUdNUB5aVfeuX0yUaG0GcDM8kM+0MTM3g7LTSQ6HxOZZmYbzWwL8Ak1/LzcBeXlowBzzOyrMB4vP3MZpCZ+oKbAzDrHBpTXNEyUv42Q9ArRfb33FTqHlDEUWA0cQXR7YkuC7S8BuseZVlFGHi/jf8PMzkuwzRrFoiboGcCMUKhfTNRC0cXMvpU0nOiKP5aAJWbWtZxVnkaU8fYDbpHUIc4FWW2wBDg7NkDS3kQ10XWUziTrh+kHANcCx5jZekkTKJ1+W8PfInbtnBxPVPPdAjxTm9JW0oFE+70GOLQkPM65He8CK55CdtySLHu8bo0Z39V0r8nKy0chqslvD0ppjFxa1MSafHlmArkQ9Tomume8SdK/mNliM7uL6Ir1EOAHYK+YZRsDeWZWTPSZvrgdToIngW6STisJkHSKpMPLxKM98EtgWZnwjkQFIsD7wAmSDgrTGoblaixJv5Z0cExQZ6J9BFirqE9Beb3plwEtFHXcQ1KOpA6Kek63NbPpwPVAE6Lm19pqGtBQO3q6ZwF/BUYBXwGdJdWT1BY4NiyzN1HmulHRUxqnVmI7ZY/juNMs+lLVSqLWkwlV3aF0kdQCGEt0i8PKTCvv3H4duEChd7ekpma2EVgv6cSwaH+gpFa/gqhVCso/ZsuzTVLOru5TLRMvP6tIRcelq4Fqy9XrcGC8pEXAZqJmb4CrQmeRIqImtylAMVAoaSFRhjcaeFbSH4DplL6S3YmZFUg6HXhA0gPANqLm5ivDusaG2m0hMNDMtkoaExO/BcCcsK7vQ1P3ZO14xOpmovvdNVUjYGRo+i0EPidqut8ALCbKOD8su5CZ/Rw6hT0UmlCzgQeI9vWJECai+9kbUrEj1cHMTNK/Ag9LuoXoqYunzOyO0OL0FVE6fQzMD8sslPQRUSvAl0RN0Ym8BPyfpDOBP5eZNoHoOCwAuppZATCJ6L78J0nvZPUqaUbOITq+HifqB1PWTud2ONc6A3Ml/Qy8StQbfgBRejQkSt9BYR33Ak9L6g+8Vcn4jQMWSZpvZrm7tou1Rrz8rKJlxgFTJOWZWc+KZnQ1g7/xzrkkKHpaYzLwezObl8Z4jAI+MrNHE87snKszvJB3rpaTNI+ohaq3hUcfnXMOvJB3zjnnMlZt6XjnnHPOuSryQt4555zLUF7IO+eccxnKC3nnnHMuQ3kh75xzzmUoL+Sdc865DPX/2JqAjnbo9VkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A correlation heatmap uses colored cells, \n",
    "# typically in a monochromatic scale, \n",
    "# to show a 2D correlation matrix (table) between two discrete dimensions\n",
    "fig,axes = plt.subplots(1,1,figsize=(9,6))\n",
    "sns.heatmap(df.corr(), annot= True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 11.Covariance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>1.028080e+09</td>\n",
       "      <td>-476682.766590</td>\n",
       "      <td>910.415885</td>\n",
       "      <td>386.870404</td>\n",
       "      <td>-225045.849445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sales</th>\n",
       "      <td>-4.766828e+05</td>\n",
       "      <td>388434.455308</td>\n",
       "      <td>278.459923</td>\n",
       "      <td>-3.627228</td>\n",
       "      <td>69944.096586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantity</th>\n",
       "      <td>9.104159e+02</td>\n",
       "      <td>278.459923</td>\n",
       "      <td>4.951113</td>\n",
       "      <td>0.003961</td>\n",
       "      <td>34.534769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Discount</th>\n",
       "      <td>3.868704e+02</td>\n",
       "      <td>-3.627228</td>\n",
       "      <td>0.003961</td>\n",
       "      <td>0.042622</td>\n",
       "      <td>-10.615173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profit</th>\n",
       "      <td>-2.250458e+05</td>\n",
       "      <td>69944.096586</td>\n",
       "      <td>34.534769</td>\n",
       "      <td>-10.615173</td>\n",
       "      <td>54877.798055</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Postal Code          Sales    Quantity    Discount  \\\n",
       "Postal Code  1.028080e+09 -476682.766590  910.415885  386.870404   \n",
       "Sales       -4.766828e+05  388434.455308  278.459923   -3.627228   \n",
       "Quantity     9.104159e+02     278.459923    4.951113    0.003961   \n",
       "Discount     3.868704e+02      -3.627228    0.003961    0.042622   \n",
       "Profit      -2.250458e+05   69944.096586   34.534769  -10.615173   \n",
       "\n",
       "                    Profit  \n",
       "Postal Code -225045.849445  \n",
       "Sales         69944.096586  \n",
       "Quantity         34.534769  \n",
       "Discount        -10.615173  \n",
       "Profit        54877.798055  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# property of a function of retaining its form when the variables are linearly transformed.: Covariance\n",
    "# compute pairwise covariance of columns\n",
    "#  returned data frame is the covariance matrix of the columns of the DataFrame\n",
    "df.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes = plt.subplots(1,1,figsize=(9,6))\n",
    "sns.heatmap(df.cov(), annot= True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 12.Find the Series containing counts of unique values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United States         9994\n",
       "Office Supplies       6026\n",
       "Standard Class        5968\n",
       "Consumer              5191\n",
       "0.0                   4863\n",
       "                      ... \n",
       "63.8862                  1\n",
       "San Luis Obispo          1\n",
       "-935.9595                1\n",
       "1931.9579999999999       1\n",
       "-2.6982                  1\n",
       "Length: 14022, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# flatten: return a copy of the array collapsed into one dimension\n",
    "pd.value_counts(df.values.flatten())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 13.Deleting the Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "col=['Postal Code']\n",
    "df1=df.drop(columns=col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 14.Visualizing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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": [
    "# presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent.\n",
    "# The bars can be plotted vertically or horizontally.\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.bar('Sub-Category','Category', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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",
      "Arizona                  224\n",
      "Virginia                 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",
      "Oklahoma                  66\n",
      "Missouri                  66\n",
      "Alabama                   61\n",
      "Arkansas                  60\n",
      "Rhode Island              56\n",
      "Mississippi               53\n",
      "Utah                      53\n",
      "South Carolina            42\n",
      "Louisiana                 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"
     ]
    }
   ],
   "source": [
    "print(df1['State'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "# Show the counts of observations in each categorical bin using bars\n",
    "plt.figure(figsize=(15,8))\n",
    "sns.countplot(x=df1['State'])\n",
    "plt.xticks(rotation=80)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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"
     ]
    }
   ],
   "source": [
    "print(df['Sub-Category'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x=df['Sub-Category'])\n",
    "plt.xticks(rotation=80)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1669eb91d60>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(40,30))\n",
    "sns.barplot(x=df['Sub-Category'], y=df['Profit'],ci=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x166a0439460>"
      ]
     },
     "execution_count": 22,
     "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['Segment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1669e9214f0>"
      ]
     },
     "execution_count": 23,
     "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": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x166a0665430>"
      ]
     },
     "execution_count": 24,
     "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": [
    "# display numerical values on one axis, and categorical values on the other.\n",
    "plt.figure(figsize = (10,4))\n",
    "sns.lineplot('Discount', 'Profit', data = df, color = 'r', label= 'Discount',ci=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bins should be the number of bars you want to show in your histogram plot.\n",
    "df1.hist(bins=50 ,figsize=(20,15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1669e723040>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 814.75x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pairplot plot a pairwise relationships in a dataset\n",
    "# creates a grid of Axes such that each variable in data will by shared in the y-axis across a single row\n",
    "# and in the x-axis across a single column.\n",
    "figsize=(30,30)\n",
    "sns.pairplot(df1,hue='Sub-Category')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 16. Now, Grouping or sum the sales ,profit,discount,quantity according to every state of region and also according to sub-categories sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-27-170a5b59473d>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  grouped=pd.DataFrame(df.groupby(['Ship Mode','Segment','Category','Sub-Category','State','Region'])\n"
     ]
    },
    {
     "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>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>State</th>\n",
       "      <th>Region</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>First Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>West</td>\n",
       "      <td>5</td>\n",
       "      <td>0.70</td>\n",
       "      <td>181.470</td>\n",
       "      <td>-320.5970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>First Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>California</td>\n",
       "      <td>West</td>\n",
       "      <td>9</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1809.497</td>\n",
       "      <td>243.2526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>First Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>West</td>\n",
       "      <td>3</td>\n",
       "      <td>0.70</td>\n",
       "      <td>89.991</td>\n",
       "      <td>-152.9847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>First Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Florida</td>\n",
       "      <td>South</td>\n",
       "      <td>3</td>\n",
       "      <td>0.20</td>\n",
       "      <td>314.352</td>\n",
       "      <td>-15.7176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>First Class</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>South</td>\n",
       "      <td>5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>354.900</td>\n",
       "      <td>88.7250</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2978</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Texas</td>\n",
       "      <td>Central</td>\n",
       "      <td>12</td>\n",
       "      <td>0.60</td>\n",
       "      <td>808.704</td>\n",
       "      <td>77.9712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>East</td>\n",
       "      <td>5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1294.750</td>\n",
       "      <td>336.6350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2980</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>South</td>\n",
       "      <td>17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>365.130</td>\n",
       "      <td>58.7384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Washington</td>\n",
       "      <td>West</td>\n",
       "      <td>17</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1989.448</td>\n",
       "      <td>63.2645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>Standard Class</td>\n",
       "      <td>Home Office</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Central</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>125.990</td>\n",
       "      <td>35.2772</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2983 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Ship Mode      Segment    Category Sub-Category       State  \\\n",
       "0        First Class     Consumer   Furniture    Bookcases     Arizona   \n",
       "1        First Class     Consumer   Furniture    Bookcases  California   \n",
       "2        First Class     Consumer   Furniture    Bookcases    Colorado   \n",
       "3        First Class     Consumer   Furniture    Bookcases     Florida   \n",
       "4        First Class     Consumer   Furniture    Bookcases     Georgia   \n",
       "...              ...          ...         ...          ...         ...   \n",
       "2978  Standard Class  Home Office  Technology       Phones       Texas   \n",
       "2979  Standard Class  Home Office  Technology       Phones     Vermont   \n",
       "2980  Standard Class  Home Office  Technology       Phones    Virginia   \n",
       "2981  Standard Class  Home Office  Technology       Phones  Washington   \n",
       "2982  Standard Class  Home Office  Technology       Phones   Wisconsin   \n",
       "\n",
       "       Region  Quantity  Discount     Sales    Profit  \n",
       "0        West         5      0.70   181.470 -320.5970  \n",
       "1        West         9      0.45  1809.497  243.2526  \n",
       "2        West         3      0.70    89.991 -152.9847  \n",
       "3       South         3      0.20   314.352  -15.7176  \n",
       "4       South         5      0.00   354.900   88.7250  \n",
       "...       ...       ...       ...       ...       ...  \n",
       "2978  Central        12      0.60   808.704   77.9712  \n",
       "2979     East         5      0.00  1294.750  336.6350  \n",
       "2980    South        17      0.00   365.130   58.7384  \n",
       "2981     West        17      1.20  1989.448   63.2645  \n",
       "2982  Central         1      0.00   125.990   35.2772  \n",
       "\n",
       "[2983 rows x 10 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped=pd.DataFrame(df.groupby(['Ship Mode','Segment','Category','Sub-Category','State','Region'])\n",
    "                     ['Quantity','Discount','Sales','Profit'].sum().reset_index())\n",
    "grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 17.sum,mean,min,max,count median,standard deviation,Variance of each states of Profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>median</th>\n",
       "      <th>std</th>\n",
       "      <th>var</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>5786.8253</td>\n",
       "      <td>94.865989</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1459.2000</td>\n",
       "      <td>61</td>\n",
       "      <td>16.87500</td>\n",
       "      <td>210.901876</td>\n",
       "      <td>44479.601429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>-3427.9246</td>\n",
       "      <td>-15.303235</td>\n",
       "      <td>-814.4832</td>\n",
       "      <td>211.4955</td>\n",
       "      <td>224</td>\n",
       "      <td>2.53365</td>\n",
       "      <td>109.266267</td>\n",
       "      <td>11939.117124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>4008.6871</td>\n",
       "      <td>66.811452</td>\n",
       "      <td>1.4190</td>\n",
       "      <td>843.1706</td>\n",
       "      <td>60</td>\n",
       "      <td>18.34080</td>\n",
       "      <td>123.249880</td>\n",
       "      <td>15190.532873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>76381.3871</td>\n",
       "      <td>38.171608</td>\n",
       "      <td>-325.5720</td>\n",
       "      <td>1906.4850</td>\n",
       "      <td>2001</td>\n",
       "      <td>13.30560</td>\n",
       "      <td>97.691593</td>\n",
       "      <td>9543.647400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>-6527.8579</td>\n",
       "      <td>-35.867351</td>\n",
       "      <td>-3399.9800</td>\n",
       "      <td>247.9960</td>\n",
       "      <td>182</td>\n",
       "      <td>3.12480</td>\n",
       "      <td>276.424024</td>\n",
       "      <td>76410.240842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>3511.4918</td>\n",
       "      <td>42.823071</td>\n",
       "      <td>-15.5826</td>\n",
       "      <td>294.6710</td>\n",
       "      <td>82</td>\n",
       "      <td>12.18310</td>\n",
       "      <td>66.138081</td>\n",
       "      <td>4374.245726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>9977.3748</td>\n",
       "      <td>103.930988</td>\n",
       "      <td>-48.7839</td>\n",
       "      <td>5039.9856</td>\n",
       "      <td>96</td>\n",
       "      <td>19.19700</td>\n",
       "      <td>518.953513</td>\n",
       "      <td>269312.749126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>1059.5893</td>\n",
       "      <td>105.958930</td>\n",
       "      <td>4.4344</td>\n",
       "      <td>648.5624</td>\n",
       "      <td>10</td>\n",
       "      <td>14.52720</td>\n",
       "      <td>213.461353</td>\n",
       "      <td>45565.749398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>-3399.3017</td>\n",
       "      <td>-8.875461</td>\n",
       "      <td>-1811.0784</td>\n",
       "      <td>327.5922</td>\n",
       "      <td>383</td>\n",
       "      <td>2.93400</td>\n",
       "      <td>126.324165</td>\n",
       "      <td>15957.794770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>16250.0433</td>\n",
       "      <td>88.315453</td>\n",
       "      <td>0.1134</td>\n",
       "      <td>3177.4750</td>\n",
       "      <td>184</td>\n",
       "      <td>22.24690</td>\n",
       "      <td>283.026694</td>\n",
       "      <td>80104.109456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>826.7231</td>\n",
       "      <td>39.367767</td>\n",
       "      <td>1.1151</td>\n",
       "      <td>259.5297</td>\n",
       "      <td>21</td>\n",
       "      <td>14.70000</td>\n",
       "      <td>63.027976</td>\n",
       "      <td>3972.525785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>-12607.8870</td>\n",
       "      <td>-25.625787</td>\n",
       "      <td>-2929.4845</td>\n",
       "      <td>874.9875</td>\n",
       "      <td>492</td>\n",
       "      <td>-1.81440</td>\n",
       "      <td>175.695233</td>\n",
       "      <td>30868.814827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>18382.9363</td>\n",
       "      <td>123.375411</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>8399.9760</td>\n",
       "      <td>149</td>\n",
       "      <td>18.76700</td>\n",
       "      <td>693.643105</td>\n",
       "      <td>481140.757367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>1183.8119</td>\n",
       "      <td>39.460397</td>\n",
       "      <td>2.5920</td>\n",
       "      <td>394.2680</td>\n",
       "      <td>30</td>\n",
       "      <td>13.93560</td>\n",
       "      <td>73.763444</td>\n",
       "      <td>5441.045702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>836.4435</td>\n",
       "      <td>34.851813</td>\n",
       "      <td>1.7280</td>\n",
       "      <td>149.3820</td>\n",
       "      <td>24</td>\n",
       "      <td>11.96880</td>\n",
       "      <td>42.619311</td>\n",
       "      <td>1816.405680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>11199.6966</td>\n",
       "      <td>80.573357</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1416.8000</td>\n",
       "      <td>139</td>\n",
       "      <td>21.77280</td>\n",
       "      <td>171.126404</td>\n",
       "      <td>29284.246011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>2196.1023</td>\n",
       "      <td>52.288150</td>\n",
       "      <td>1.8672</td>\n",
       "      <td>346.0396</td>\n",
       "      <td>42</td>\n",
       "      <td>15.65800</td>\n",
       "      <td>83.357777</td>\n",
       "      <td>6948.518922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>454.4862</td>\n",
       "      <td>56.810775</td>\n",
       "      <td>3.8822</td>\n",
       "      <td>131.3550</td>\n",
       "      <td>8</td>\n",
       "      <td>30.73400</td>\n",
       "      <td>53.816911</td>\n",
       "      <td>2896.259868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>7031.1788</td>\n",
       "      <td>66.963608</td>\n",
       "      <td>-47.1798</td>\n",
       "      <td>1270.9900</td>\n",
       "      <td>105</td>\n",
       "      <td>23.68080</td>\n",
       "      <td>148.214655</td>\n",
       "      <td>21967.584011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>6785.5016</td>\n",
       "      <td>50.262975</td>\n",
       "      <td>-297.6848</td>\n",
       "      <td>503.7822</td>\n",
       "      <td>135</td>\n",
       "      <td>16.10960</td>\n",
       "      <td>94.386407</td>\n",
       "      <td>8908.793776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>24463.1876</td>\n",
       "      <td>95.934069</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>4946.3700</td>\n",
       "      <td>255</td>\n",
       "      <td>24.22560</td>\n",
       "      <td>374.559894</td>\n",
       "      <td>140295.114453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>10823.1874</td>\n",
       "      <td>121.608847</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>4630.4755</td>\n",
       "      <td>89</td>\n",
       "      <td>16.80000</td>\n",
       "      <td>505.784116</td>\n",
       "      <td>255817.572102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>3172.9762</td>\n",
       "      <td>59.867475</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>388.8128</td>\n",
       "      <td>53</td>\n",
       "      <td>23.40000</td>\n",
       "      <td>80.793505</td>\n",
       "      <td>6527.590392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>6436.2105</td>\n",
       "      <td>97.518341</td>\n",
       "      <td>2.2990</td>\n",
       "      <td>2302.9671</td>\n",
       "      <td>66</td>\n",
       "      <td>15.66450</td>\n",
       "      <td>308.032711</td>\n",
       "      <td>94884.151220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>1833.3285</td>\n",
       "      <td>122.221900</td>\n",
       "      <td>2.2098</td>\n",
       "      <td>1379.9770</td>\n",
       "      <td>15</td>\n",
       "      <td>13.93920</td>\n",
       "      <td>350.364144</td>\n",
       "      <td>122755.033590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>2037.0942</td>\n",
       "      <td>53.607742</td>\n",
       "      <td>0.2016</td>\n",
       "      <td>743.9880</td>\n",
       "      <td>38</td>\n",
       "      <td>10.47770</td>\n",
       "      <td>133.163393</td>\n",
       "      <td>17732.489334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>3316.7659</td>\n",
       "      <td>85.045279</td>\n",
       "      <td>-109.5822</td>\n",
       "      <td>1644.2913</td>\n",
       "      <td>39</td>\n",
       "      <td>23.80800</td>\n",
       "      <td>265.901543</td>\n",
       "      <td>70703.630825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>1706.5028</td>\n",
       "      <td>63.203807</td>\n",
       "      <td>-105.3164</td>\n",
       "      <td>517.4793</td>\n",
       "      <td>27</td>\n",
       "      <td>17.22000</td>\n",
       "      <td>119.893107</td>\n",
       "      <td>14374.357098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>9772.9138</td>\n",
       "      <td>75.176260</td>\n",
       "      <td>-31.3722</td>\n",
       "      <td>2365.9818</td>\n",
       "      <td>130</td>\n",
       "      <td>18.81120</td>\n",
       "      <td>236.387912</td>\n",
       "      <td>55879.245021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>1157.1161</td>\n",
       "      <td>31.273408</td>\n",
       "      <td>-5.6943</td>\n",
       "      <td>138.3552</td>\n",
       "      <td>37</td>\n",
       "      <td>13.34800</td>\n",
       "      <td>39.290011</td>\n",
       "      <td>1543.704967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>74038.5486</td>\n",
       "      <td>65.637011</td>\n",
       "      <td>-553.6476</td>\n",
       "      <td>3919.9888</td>\n",
       "      <td>1128</td>\n",
       "      <td>13.83960</td>\n",
       "      <td>232.540498</td>\n",
       "      <td>54075.083184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>-7490.9122</td>\n",
       "      <td>-30.083985</td>\n",
       "      <td>-3839.9904</td>\n",
       "      <td>303.8040</td>\n",
       "      <td>249</td>\n",
       "      <td>3.95920</td>\n",
       "      <td>297.900997</td>\n",
       "      <td>88745.003951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>230.1497</td>\n",
       "      <td>32.878529</td>\n",
       "      <td>0.8680</td>\n",
       "      <td>162.0948</td>\n",
       "      <td>7</td>\n",
       "      <td>8.29440</td>\n",
       "      <td>58.123254</td>\n",
       "      <td>3378.312671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>-16971.3766</td>\n",
       "      <td>-36.186304</td>\n",
       "      <td>-6599.9780</td>\n",
       "      <td>607.6080</td>\n",
       "      <td>469</td>\n",
       "      <td>1.23900</td>\n",
       "      <td>341.346473</td>\n",
       "      <td>116517.414355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>4853.9560</td>\n",
       "      <td>73.544788</td>\n",
       "      <td>0.5520</td>\n",
       "      <td>523.7052</td>\n",
       "      <td>66</td>\n",
       "      <td>23.53605</td>\n",
       "      <td>109.026519</td>\n",
       "      <td>11886.781743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>-1190.4705</td>\n",
       "      <td>-9.600569</td>\n",
       "      <td>-384.7164</td>\n",
       "      <td>228.0792</td>\n",
       "      <td>124</td>\n",
       "      <td>3.62880</td>\n",
       "      <td>74.450034</td>\n",
       "      <td>5542.807564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>-15559.9603</td>\n",
       "      <td>-26.507598</td>\n",
       "      <td>-1665.0522</td>\n",
       "      <td>1119.9968</td>\n",
       "      <td>587</td>\n",
       "      <td>0.58400</td>\n",
       "      <td>136.294675</td>\n",
       "      <td>18576.238478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>7285.6293</td>\n",
       "      <td>130.100523</td>\n",
       "      <td>-127.5792</td>\n",
       "      <td>2591.9568</td>\n",
       "      <td>56</td>\n",
       "      <td>18.34850</td>\n",
       "      <td>384.816449</td>\n",
       "      <td>148083.699355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>1769.0566</td>\n",
       "      <td>42.120395</td>\n",
       "      <td>0.5584</td>\n",
       "      <td>422.5100</td>\n",
       "      <td>42</td>\n",
       "      <td>17.99600</td>\n",
       "      <td>73.698963</td>\n",
       "      <td>5431.537207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>394.8283</td>\n",
       "      <td>32.902358</td>\n",
       "      <td>1.3068</td>\n",
       "      <td>132.5898</td>\n",
       "      <td>12</td>\n",
       "      <td>14.85905</td>\n",
       "      <td>43.803938</td>\n",
       "      <td>1918.784959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>-5341.6936</td>\n",
       "      <td>-29.189583</td>\n",
       "      <td>-1237.8462</td>\n",
       "      <td>223.9936</td>\n",
       "      <td>183</td>\n",
       "      <td>2.33640</td>\n",
       "      <td>176.636392</td>\n",
       "      <td>31200.415012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>-25729.3563</td>\n",
       "      <td>-26.121174</td>\n",
       "      <td>-3701.8928</td>\n",
       "      <td>624.9875</td>\n",
       "      <td>985</td>\n",
       "      <td>0.33360</td>\n",
       "      <td>189.022781</td>\n",
       "      <td>35729.611690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>2546.5335</td>\n",
       "      <td>48.047802</td>\n",
       "      <td>0.2016</td>\n",
       "      <td>449.9850</td>\n",
       "      <td>53</td>\n",
       "      <td>13.03750</td>\n",
       "      <td>83.929399</td>\n",
       "      <td>7044.143964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>2244.9783</td>\n",
       "      <td>204.088936</td>\n",
       "      <td>0.9588</td>\n",
       "      <td>1013.1270</td>\n",
       "      <td>11</td>\n",
       "      <td>67.65990</td>\n",
       "      <td>301.653921</td>\n",
       "      <td>90995.087755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>18597.9504</td>\n",
       "      <td>83.026564</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>2799.9840</td>\n",
       "      <td>224</td>\n",
       "      <td>19.18125</td>\n",
       "      <td>235.266720</td>\n",
       "      <td>55350.429592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>33402.6517</td>\n",
       "      <td>66.013146</td>\n",
       "      <td>-73.0548</td>\n",
       "      <td>6719.9808</td>\n",
       "      <td>506</td>\n",
       "      <td>13.44060</td>\n",
       "      <td>325.305395</td>\n",
       "      <td>105823.600064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>185.9216</td>\n",
       "      <td>46.480400</td>\n",
       "      <td>-76.9536</td>\n",
       "      <td>219.4416</td>\n",
       "      <td>4</td>\n",
       "      <td>21.71680</td>\n",
       "      <td>125.265494</td>\n",
       "      <td>15691.444107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>8401.8004</td>\n",
       "      <td>76.380004</td>\n",
       "      <td>0.2598</td>\n",
       "      <td>673.8816</td>\n",
       "      <td>110</td>\n",
       "      <td>25.10085</td>\n",
       "      <td>124.946125</td>\n",
       "      <td>15611.534206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>100.1960</td>\n",
       "      <td>100.196000</td>\n",
       "      <td>100.1960</td>\n",
       "      <td>100.1960</td>\n",
       "      <td>1</td>\n",
       "      <td>100.19600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             sum        mean        min        max  count  \\\n",
       "State                                                                       \n",
       "Alabama                5786.8253   94.865989     0.0000  1459.2000     61   \n",
       "Arizona               -3427.9246  -15.303235  -814.4832   211.4955    224   \n",
       "Arkansas               4008.6871   66.811452     1.4190   843.1706     60   \n",
       "California            76381.3871   38.171608  -325.5720  1906.4850   2001   \n",
       "Colorado              -6527.8579  -35.867351 -3399.9800   247.9960    182   \n",
       "Connecticut            3511.4918   42.823071   -15.5826   294.6710     82   \n",
       "Delaware               9977.3748  103.930988   -48.7839  5039.9856     96   \n",
       "District of Columbia   1059.5893  105.958930     4.4344   648.5624     10   \n",
       "Florida               -3399.3017   -8.875461 -1811.0784   327.5922    383   \n",
       "Georgia               16250.0433   88.315453     0.1134  3177.4750    184   \n",
       "Idaho                   826.7231   39.367767     1.1151   259.5297     21   \n",
       "Illinois             -12607.8870  -25.625787 -2929.4845   874.9875    492   \n",
       "Indiana               18382.9363  123.375411     0.0000  8399.9760    149   \n",
       "Iowa                   1183.8119   39.460397     2.5920   394.2680     30   \n",
       "Kansas                  836.4435   34.851813     1.7280   149.3820     24   \n",
       "Kentucky              11199.6966   80.573357     0.0000  1416.8000    139   \n",
       "Louisiana              2196.1023   52.288150     1.8672   346.0396     42   \n",
       "Maine                   454.4862   56.810775     3.8822   131.3550      8   \n",
       "Maryland               7031.1788   66.963608   -47.1798  1270.9900    105   \n",
       "Massachusetts          6785.5016   50.262975  -297.6848   503.7822    135   \n",
       "Michigan              24463.1876   95.934069     0.0000  4946.3700    255   \n",
       "Minnesota             10823.1874  121.608847     0.0000  4630.4755     89   \n",
       "Mississippi            3172.9762   59.867475     0.0000   388.8128     53   \n",
       "Missouri               6436.2105   97.518341     2.2990  2302.9671     66   \n",
       "Montana                1833.3285  122.221900     2.2098  1379.9770     15   \n",
       "Nebraska               2037.0942   53.607742     0.2016   743.9880     38   \n",
       "Nevada                 3316.7659   85.045279  -109.5822  1644.2913     39   \n",
       "New Hampshire          1706.5028   63.203807  -105.3164   517.4793     27   \n",
       "New Jersey             9772.9138   75.176260   -31.3722  2365.9818    130   \n",
       "New Mexico             1157.1161   31.273408    -5.6943   138.3552     37   \n",
       "New York              74038.5486   65.637011  -553.6476  3919.9888   1128   \n",
       "North Carolina        -7490.9122  -30.083985 -3839.9904   303.8040    249   \n",
       "North Dakota            230.1497   32.878529     0.8680   162.0948      7   \n",
       "Ohio                 -16971.3766  -36.186304 -6599.9780   607.6080    469   \n",
       "Oklahoma               4853.9560   73.544788     0.5520   523.7052     66   \n",
       "Oregon                -1190.4705   -9.600569  -384.7164   228.0792    124   \n",
       "Pennsylvania         -15559.9603  -26.507598 -1665.0522  1119.9968    587   \n",
       "Rhode Island           7285.6293  130.100523  -127.5792  2591.9568     56   \n",
       "South Carolina         1769.0566   42.120395     0.5584   422.5100     42   \n",
       "South Dakota            394.8283   32.902358     1.3068   132.5898     12   \n",
       "Tennessee             -5341.6936  -29.189583 -1237.8462   223.9936    183   \n",
       "Texas                -25729.3563  -26.121174 -3701.8928   624.9875    985   \n",
       "Utah                   2546.5335   48.047802     0.2016   449.9850     53   \n",
       "Vermont                2244.9783  204.088936     0.9588  1013.1270     11   \n",
       "Virginia              18597.9504   83.026564     0.0000  2799.9840    224   \n",
       "Washington            33402.6517   66.013146   -73.0548  6719.9808    506   \n",
       "West Virginia           185.9216   46.480400   -76.9536   219.4416      4   \n",
       "Wisconsin              8401.8004   76.380004     0.2598   673.8816    110   \n",
       "Wyoming                 100.1960  100.196000   100.1960   100.1960      1   \n",
       "\n",
       "                         median         std            var  \n",
       "State                                                       \n",
       "Alabama                16.87500  210.901876   44479.601429  \n",
       "Arizona                 2.53365  109.266267   11939.117124  \n",
       "Arkansas               18.34080  123.249880   15190.532873  \n",
       "California             13.30560   97.691593    9543.647400  \n",
       "Colorado                3.12480  276.424024   76410.240842  \n",
       "Connecticut            12.18310   66.138081    4374.245726  \n",
       "Delaware               19.19700  518.953513  269312.749126  \n",
       "District of Columbia   14.52720  213.461353   45565.749398  \n",
       "Florida                 2.93400  126.324165   15957.794770  \n",
       "Georgia                22.24690  283.026694   80104.109456  \n",
       "Idaho                  14.70000   63.027976    3972.525785  \n",
       "Illinois               -1.81440  175.695233   30868.814827  \n",
       "Indiana                18.76700  693.643105  481140.757367  \n",
       "Iowa                   13.93560   73.763444    5441.045702  \n",
       "Kansas                 11.96880   42.619311    1816.405680  \n",
       "Kentucky               21.77280  171.126404   29284.246011  \n",
       "Louisiana              15.65800   83.357777    6948.518922  \n",
       "Maine                  30.73400   53.816911    2896.259868  \n",
       "Maryland               23.68080  148.214655   21967.584011  \n",
       "Massachusetts          16.10960   94.386407    8908.793776  \n",
       "Michigan               24.22560  374.559894  140295.114453  \n",
       "Minnesota              16.80000  505.784116  255817.572102  \n",
       "Mississippi            23.40000   80.793505    6527.590392  \n",
       "Missouri               15.66450  308.032711   94884.151220  \n",
       "Montana                13.93920  350.364144  122755.033590  \n",
       "Nebraska               10.47770  133.163393   17732.489334  \n",
       "Nevada                 23.80800  265.901543   70703.630825  \n",
       "New Hampshire          17.22000  119.893107   14374.357098  \n",
       "New Jersey             18.81120  236.387912   55879.245021  \n",
       "New Mexico             13.34800   39.290011    1543.704967  \n",
       "New York               13.83960  232.540498   54075.083184  \n",
       "North Carolina          3.95920  297.900997   88745.003951  \n",
       "North Dakota            8.29440   58.123254    3378.312671  \n",
       "Ohio                    1.23900  341.346473  116517.414355  \n",
       "Oklahoma               23.53605  109.026519   11886.781743  \n",
       "Oregon                  3.62880   74.450034    5542.807564  \n",
       "Pennsylvania            0.58400  136.294675   18576.238478  \n",
       "Rhode Island           18.34850  384.816449  148083.699355  \n",
       "South Carolina         17.99600   73.698963    5431.537207  \n",
       "South Dakota           14.85905   43.803938    1918.784959  \n",
       "Tennessee               2.33640  176.636392   31200.415012  \n",
       "Texas                   0.33360  189.022781   35729.611690  \n",
       "Utah                   13.03750   83.929399    7044.143964  \n",
       "Vermont                67.65990  301.653921   90995.087755  \n",
       "Virginia               19.18125  235.266720   55350.429592  \n",
       "Washington             13.44060  325.305395  105823.600064  \n",
       "West Virginia          21.71680  125.265494   15691.444107  \n",
       "Wisconsin              25.10085  124.946125   15611.534206  \n",
       "Wyoming               100.19600         NaN            NaN  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finding sum,mean,max,min,count,median,std deviation,variance of profit on each state\n",
    "df.groupby(\"State\").Profit.agg([\"sum\",\"mean\",\"min\",\"max\",\"count\",\"median\",\"std\",\"var\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 18.K means Clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1669db61940>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# selected all rows but last 4 columns\n",
    "x = df.iloc[:, [9, 10, 11, 12]].values\n",
    "# unsupervised machine learning algorithms that forms clusters of data based on the similarity between data instances\n",
    "# number of clusters has to be defined beforehand\n",
    "# K in the K-means refers to the number of clusters.\n",
    "from sklearn.cluster import KMeans\n",
    "# within cluster sum of squares\n",
    "# For each value of K, we are calculating WCSS ( Within-Cluster Sum of Square )\n",
    "# WCSS is the sum of squared distance between each point and the centroid in a cluster\n",
    "#  When we plot the WCSS with the K value, the plot looks like an Elbow\n",
    "# number of clusters increases, the WCSS value will start to decrease\n",
    "wcss = []\n",
    "# To get the values used in the graph, we train multiple models using a different number of clusters \n",
    "# and storing the value of the intertia_ property (WCSS) every time.\n",
    "# k-means++ ensures that you get don’t fall into the random initialization trap.\n",
    "for i in range(1, 11):\n",
    "    kmeans = KMeans(n_clusters = i, init = 'k-means++',max_iter = 300, n_init = 10, random_state = 0).fit(x)\n",
    "    wcss.append(kmeans.inertia_)\n",
    "# types: whitegrid,darkgrid,dark,ticks,white\n",
    "sns.set_style(\"darkgrid\")\n",
    "# maps a dataset onto multiple axes arrayed in a grid of rows and columns that correspond to levels of variables in the dataset.\n",
    "sns.FacetGrid(df, hue =\"Sub-Category\",height = 6).map(plt.scatter,'Sales','Quantity')\n",
    "# centroids are shown using yellow\n",
    "plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:,1], s = 100, c = 'black', label = 'Centroids')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1669e521490>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1669e3f4d90>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  depicting groups of numerical data through their quartiles\n",
    "# used for detect the outlier in data set\n",
    "#A box plot consist of 5 things.\n",
    "\n",
    "# a)Minimum\n",
    "# b)First Quartile or 25%\n",
    "# c)Median (Second Quartile) or 50%\n",
    "# d)Third Quartile or 75%\n",
    "# e)Maximum\n",
    "fig, axes = plt.subplots(figsize = (10 , 10))\n",
    "sns.boxplot(df['Sales'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x166a049b0a0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize = (10 , 10))\n",
    "\n",
    "sns.boxplot(df['Discount'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1669d7e7c70>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize = (10 , 10))\n",
    "\n",
    "sns.boxplot(df['Profit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Postal Code    66785.00000\n",
      "Sales            192.66000\n",
      "Quantity           3.00000\n",
      "Discount           0.20000\n",
      "Profit            27.63525\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# quantile determines how many values in a distribution are above or below a certain limit.\n",
    "Q1 = df.quantile(q = 0.25, axis = 0, numeric_only = True, interpolation = 'linear')\n",
    "Q3 = df.quantile(q = 0.75, axis = 0, numeric_only = True, interpolation = 'linear')\n",
    "IQR = Q3 - Q1\n",
    "\n",
    "print(IQR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 19. Plotting scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present.\n",
    "fig, ax = plt.subplots(figsize = (10 , 6))\n",
    "ax.scatter(df[\"Sales\"] , df[\"Profit\"])\n",
    "ax.set_xlabel('Sales')\n",
    "ax.set_ylabel('Profit')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 20. Distribution plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count     9994.000000\n",
      "mean       229.858001\n",
      "std        623.245101\n",
      "min          0.444000\n",
      "25%         17.280000\n",
      "50%         54.490000\n",
      "75%        209.940000\n",
      "max      22638.480000\n",
      "Name: Sales, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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RyKBjLrzwQklSR0eHnnrqKT399NP63//93wHvYyhut6XCwoLhb2WWolFLBQX99+jk50uFhRkfLuSI2+3K6ZwjO8yHWZgPszAfIyvjK28gEFA0Gk1ftm1bHo9nwGXRaFTBYHDIMS+++KK2bt2qxx57TOPHjx/0PoaSTDoKh2PD3MTs2bZfsVi833W9vZbC4fggI5BrhYUFOZ1zZIf5MAvzYRbmI3uTJg3+up/x0M+8efPU2toqSQqFQpoxY0Z6WUlJibq7uxUOhxWPx9XW1qbS0tJBxzz//PN66qmntH37dk2ZMkWSNGfOHLW3t6u3t1c9PT3q6urq9zUAAMDnV8Y9KuXl5dqzZ4+WLVsmx3FUV1ennTt3KhaLqaqqSjU1NaqurpbjOKqoqFBRUdGAY5LJpDZu3KiLL75Yd955pyTpqquu0l133aWVK1dqxYoVchxHa9asUX5+fs43HAAAmM9yHMcZ7ZXIViKRzOlutZ4ev557rv9hnkWLLE2cyKGf0cKuVLMwH2ZhPszCfGTvjA79AAAAjBZCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLE+mG9i2rQ0bNujgwYPyer2qra3V1KlT08tbWlq0efNmeTweVVRUqLKyMuOYuro6TZs2TcuXL5ck1dbWqqOjQ36/X5K0ZcsWBYPBkd5WAABwjskYKrt27VI8HldjY6NCoZAaGhq0detWSVIikVB9fb2am5vl8/m0fPlyLVy4UHv37h1wzCeffKL7779fhw4dUnV1dfpr7N+/X9u2bdP48eNzt6UAAOCckzFU2tvbtWDBAknS3Llz1dnZmV7W1dWl4uJijRs3TpJUVlamtrY2hUKhAcdEo1Hdeeedam1tTd+Hbdvq7u7W+vXrdeTIES1dulRLly4duS0EAADnrIyhEolEFAgE0pfdbrf6+vrk8XgUiUT6HaLx+/2KRCKDjpkyZYqmTJnSL1RisZhuvvlmrV69WslkUqtWrdLs2bM1c+bMQdfJ7bZUWFiQ9cYOVzRqqaDA2++6/HypsDDjw4UccbtdOZ1zZIf5MAvzYRbmY2RlfOUNBAKKRqPpy7Zty+PxDLgsGo0qGAwOOeZUPp9Pq1atks/nkyRdffXVOnDgwJChkkw6CodjmVb9tNm2X7FYvN91vb2WwuH4ICOQa4WFBTmdc2SH+TAL82EW5iN7kyYN/r7UjJ/6mTdvXnoPSCgU0owZM9LLSkpK1N3drXA4rHg8rra2NpWWlg455lSHDh3SihUrlEwmlUgk1NHRoVmzZg174wAAwPkr4x6V8vJy7dmzR8uWLZPjOKqrq9POnTsVi8VUVVWlmpoaVVdXy3EcVVRUqKioaMAxgykpKdHixYtVWVmpvLw8LVmyRNOnTx/RjQQAAOcmy3EcZ7RXIluJRDKnu9V6evx67rn+h3kWLbI0cSKHfkYLu1LNwnyYhfkwC/ORvTM69AMAADBaCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYCxCBQAAGItQAQAAxiJUAACAsQgVAABgLEIFAAAYi1ABAADGIlQAAICxCBUAAGAsQgUAABiLUAEAAMYiVAAAgLEIFQAAYKyMoWLbttavX6+qqiqtXLlS3d3d/Za3tLSooqJCVVVVampqGtaYuro6PfPMM+nLTU1NuvHGG1VZWandu3ePxHYBAIDzQMZQ2bVrl+LxuBobG/Xd735XDQ0N6WWJREL19fV68skntX37djU2Nurw4cODjvnkk0906623qqWlJX0fhw8f1vbt27Vjxw498cQT2rRpk+LxeA42FQAAnGsyhkp7e7sWLFggSZo7d646OzvTy7q6ulRcXKxx48bJ6/WqrKxMbW1tg46JRqO68847tWTJkvR97Nu3T6WlpfJ6vQoGgyouLtaBAwdGdCMBAMC5yZPpBpFIRIFAIH3Z7Xarr69PHo9HkUhEwWAwvczv9ysSiQw6ZsqUKZoyZYpaW1v73f9A9zEUt9tSYWHB8LbwNESjlgoKvP2uy8+XCgszPlzIEbfbldM5R3aYD7MwH2ZhPkZWxlfeQCCgaDSavmzbtjwez4DLotGogsHgkGMy3f/x+xhKMukoHI5lWvXTZtt+xWL9Dz/19loKhzkkNVoKCwtyOufIDvNhFubDLMxH9iZNGvx1P+Ohn3nz5qX3gIRCIc2YMSO9rKSkRN3d3QqHw4rH42pra1NpaemQY041Z84ctbe3q7e3Vz09Perq6hry9gAA4PMj4x6V8vJy7dmzR8uWLZPjOKqrq9POnTsVi8VUVVWlmpoaVVdXy3EcVVRUqKioaMAxg5k0aZJWrlypFStWyHEcrVmzRvn5+SO6kQAA4NxkOY7jjPZKZCuRSOZ0t1pPj1/PPdf/MM+iRZYmTuTQz2hhV6pZmA+zMB9mYT6yd0aHfgAAAEYLoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMJYn0w1s29aGDRt08OBBeb1e1dbWaurUqenlLS0t2rx5szwejyoqKlRZWTnomO7ubtXU1MiyLE2fPl3f//735XK5VFtbq46ODvn9fknSli1bFAwGc7fVAADgnJAxVHbt2qV4PK7GxkaFQiE1NDRo69atkqREIqH6+no1NzfL5/Np+fLlWrhwofbu3TvgmPr6et199936yle+ovXr1+uVV15ReXm59u/fr23btmn8+PE532AAAHDuyHjop729XQsWLJAkzZ07V52dnellXV1dKi4u1rhx4+T1elVWVqa2trZBx+zfv19f/vKXJUnXXnutXn/9ddm2re7ubq1fv17Lli1Tc3PziG8kAAA4N2XcoxKJRBQIBNKX3W63+vr65PF4FIlE+h2i8fv9ikQig45xHEeWZaVv29PTo1gspptvvlmrV69WMpnUqlWrNHv2bM2cOXPQdXK7LRUWFpzWBg9HNGqpoMDb77r8fKmwMOPDhRxxu105nXNkh/kwC/NhFuZjZGV85Q0EAopGo+nLtm3L4/EMuCwajSoYDA46xuVy9bvt2LFj5fP5tGrVKvl8PknS1VdfrQMHDgwZKsmko3A4lsVmZse2/YrF4v2u6+21FA7HBxmBXCssLMjpnCM7zIdZmA+zMB/ZmzRp8PelZjz0M2/ePLW2tkqSQqGQZsyYkV5WUlKi7u5uhcNhxeNxtbW1qbS0dNAxX/ziF/Xmm29KklpbW3XllVfq0KFDWrFihZLJpBKJhDo6OjRr1qzT31oAAHDeyLhHpby8XHv27NGyZcvkOI7q6uq0c+dOxWIxVVVVqaamRtXV1XIcRxUVFSoqKhpwjCStXbtW69at06ZNm3TZZZfpuuuuk9vt1uLFi1VZWam8vDwtWbJE06dPz/mGAwAA81mO4zijvRLZSiSSOd2t1tPj13PP9T/Ms2iRW5Kdvuz3O/L5EjlbB/THrlSzMB9mYT7Mwnxkb6hDP7w7dJhiMUuvvnqi6RYtsvTnt9UAAIAc4cy0AADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWIQKAAAwFqECAACMRagAAABjESoAAMBYhMppOHpUWrYsT6++6h7tVQEA4LxGqJyG115za98+l/77vz2jvSoAAJzXCJUsHT0qtbamAiUUYo8KAAC5RKhk6bXX3Dp61NL8+bbeftul3t7RXiMAAM5fhEoWju9NmTUrqaVLk0okLL39Ng8hAAC5wqtsFvbsSe1NKS/v0+zZtiQO/wAAkEuEyjBFItLPf57am3LppY4uuUSaMMEmVAAAyCFCZZiefdZK702RJMuSvvQlW6EQDyEAALnCq+wwdXRYmjzZ1qWXOunr5s5N6uBBl6LRUVwxAADOY4TKMP3hD5bGj3f6XTd3blK2benXv+bwDwAAuUCoDIPjSH/4g3TBBf1DpbQ09YbaX/2KhxEAgFzgFXYYjh6Vjh61VFh4cqi45HbnqajI0S9+kacjR7w6ejRv1NYRAIDzEaEyDJ9+aknqv0clFrP04ouOJk609dZbqX9Ho9ZorSIAAOclQmUYwuFUgPTfo5IyZYqtw4ddOnr0bK8VAADnP0JlGI7vURk4VFLXffABDyUAACONV9dhCIcteb2O/P6/XHbppak31L7/Pod9AAAYaYTKMITDloqKJNcAj5bfL40fb+v993koAQAYaby6DsOnn1q66KK/POxz3JQpDod+AADIAV5dhyEctnTRRYMv/8IXbH36qaW33+bwDwAAI4lQySCZlP70Jw0ZKldemdSYMY4ef5wz1AIAMJIIlQw++0xyHEtFRYMf+vH5pP/3/5J6+WWXurrYqwIAwEghVDI4fg6VofaoSNKCBX3yeqVHH/WehbUCAODzgVDJ4ESoDL5HRZKCQamiwlZTU54+/JC9KgAAjARCJYPjJ3vLtEdFklav7pMkbd3KXhUAAEYCoZJBOGypoMDRmDGZbzt5sks33GDrP/8zT7/5Db+kEACAM0WoZPDpp1a/X0Y4lFjM0vTpfertle67z61IhENAAACcCUIlg3DYGvB3/AymqMjRNdck9cYbHv3rv7rlDH8oAAA4hWe0V8B04bClyy+3sxqzeHGf4nHpscc8Cga9Wrs2nqO1AwDg/EaoDOHoUenYseN7VIZ/GMflkioq+jR5sqUf/Shfbrd0773ECgAA2SJUhnD8o8nZhoqUipUf/KBPeXm2HnkkXxdc4Ki6OpGDtQQA4PxFqAzheKgM9820p3K5XPrHf7T10UdJPfhgvsaNc+vv/i4pn49gAQBgOHgz7RCOn0MlmzfTniwWs/TSS46+9rWELrnE0Xe+49Evf8lDDgDAcPGqOYRw2JLb7SgYPLP7yc+XbrklLr9fuuOOPP32t5Z6eqRwOPULDwEAwMAIlSGEw5bGjnXkGoFHaexYqbo6rqNHpauvDqikJKgZM4K6/PKgbrrJp1//mqkAAOBUvEdlCKmTvY3c/V18saPt2/v02muWXC7J7U79duaf/MStr32tQBUVfbr33l5Nm+bI4lxxAAAQKid7/nmPXC7pq19NXQ6HLU2blt05VDKZMsXSxRf3pS9PnCi99JKjbdssbd/uUXNznsaOdTR9uq3p02399Z8C7aMAAAx1SURBVF8ndeWVSc2ebSuPM/IDAD5nMoaKbdvasGGDDh48KK/Xq9raWk2dOjW9vKWlRZs3b5bH41FFRYUqKysHHdPd3a2amhpZlqXp06fr+9//vlwul5qamrRjxw55PB7dcccdWrhwYU43ejC7d7v1k594VVHhqLQ0tbfjdD/xkw2Px9LMmX26774+dXa65fO59NvfWvrZzzzasSNVJ/n5jr70paT+6q9sXXaZrcsvT/0pLnb+ImA+/VT6058sXXSRo/z8nK8+AOA8lEymTrUx2nv4M4bKrl27FI/H1djYqFAopIaGBm3dulWSlEgkVF9fr+bmZvl8Pi1fvlwLFy7U3r17BxxTX1+vu+++W1/5yle0fv16vfLKK5o7d662b9+un/70p+rt7dWKFSs0f/58eb1n/zcQ//CHvbr4YkebNnnV0uKVbWd3+vwzVVgoXXNNUl/9qqVXX019hDkclrq7XbIstzo7XXrhBXf600iS5PE4mjrV0dSptj75xNJ777n02Wcnll94oa3Jk1Pb8OmnlsJhS7FY6lT/kyenll10kaOJE21NnOhowgRHnlO+K07+Jh07NnWbiRMd+Xypk+J99pmlTz+1lEikDmcd/5NISL29Ujxu/flvqbc3dTuPRyooSN3H8b99PkcFBamvc+xY6k88bmnMGEeTJ6eeND6f5DgD/5GUPqQ2Eu8rOtscR7Lt1Hb29aUev0TCkm2n5tnrTT1ueXmpbTyZbadu7ziS19t/+207NQ/JZOqN3R7PiTl1nNSyvr7U/Xq9I/NDKZlM3a/jnJiT4/My2j/0YBbHSX3vHjuW+j70+aQxY0b3++T4c9GyBv5ZYtupP273X65nMnliW07+WXp8O+Px1Lj8/BP37Tgnfua5XKntP/5ctG0pFpMikdTPAr/fkd+fuu++vtTP388+S52cdOxYR4WFqeWJhPTRR5b+8IfUz/0LLkj9rL/wQkeJhPTuuy795jcuvfeeS5MmOZoxI7UX3+WSfvYzt156yaPduz0aN87Rddf16frr+zR/fnJU/vObMVTa29u1YMECSdLcuXPV2dmZXtbV1aXi4mKNGzdOklRWVqa2tjaFQqEBx+zfv19f/vKXJUnXXnut9uzZI5fLpdLSUnm9Xnm9XhUXF+vAgQOaM2fOyG7pMHg80tq1cX3pS3n6h384s48mj5TCQqmw0NZXv+pKx0ssJk2f7tF77zl67z1L3d2W3n/fpQkTpL/929RelmDQ0ZEjlj74wNLvf5/69NIllzgaP95RXp6jw4ct/f73Lr35pqWPPkoFQbY8Hkd9fWfzp0l2H79yu52M4XLy72Iazr8Hunzc8R9Ymf4++X6SyRNx4jjDfywtK7UnzeM5ETQn83hSy1PBY/3F2Pz81NcdaN7z8x253UMHoSS5XAFZlvr9kY5H0eDb4nI5w4qW0102WrL5vV4j+TvATjwWgSGWnZ7j63nq35mWnfz1T/7eOPWyNPj3y5gxqefvYN+Htn383yfGWpaTvv/j318DfY9KJ8af+vepz8OTn2vJZOr5Ztv9/7OYl5caG4+fvCwolyv1H4zj23nqfeflpf5jeOzYXy47PvbYsYEn0et1Bv25PRI/my+6yFZFRUIff2ypqSlP//EfXk2aZGvPnqgKC8/orrOWMVQikYgCgRNPALfbrb6+Pnk8HkUiEQVP+uyu3+9XJBIZdIzjOLL+/J3i9/vV09Mz6H0MJS/PrUmTzvAzw0NYuTL1J+XEnp2ysv4P16mXT/c2ZzJudBn4atGP6et3JjJt21DLz2TsSDif5wUj53S+T3LxvTVaz7Vcjh0Ol05+/TtxXe5ee4dakyEFAgFFo9H0Zdu25fnz/qxTl0WjUQWDwUHHuE76b200GtXYsWMHvQ8AAICMoTJv3jy1trZKkkKhkGbMmJFeVlJSou7uboXDYcXjcbW1tam0tHTQMV/84hf15ptvSpJaW1t15ZVXas6cOWpvb1dvb696enrU1dXV72sAAIDPL8txhj5aevwTPL/5zW/kOI7q6ur09ttvKxaLqaqqKv2pH8dxVFFRoW9+85sDjikpKdF7772ndevWKZFI6LLLLlNtba3cbreamprU2Ngox3H0rW99S9ddd93Z2n4AAGCwjKECAAAwWs7BD3ECAIDPC0IFAAAYy7TPu46qTGfhxcj7+7//+/SnvC699FLdfvvtwz578bFjx3Tffffp448/lt/v18MPP6zx48eP8hadm371q1/phz/8obZv357VGaQHm4NQKKSNGzfK7Xbrmmuu0be//e3R3sRzysnzsX//ft1+++36whe+IElavny5Fi1axHycBYlEQt/73vf04YcfKh6P64477tDll1/O8+Nsc5D20ksvOWvXrnUcx3H27t3r3H777aO8Rue3Y8eOOUuWLOl33be+9S3nF7/4heM4jrNu3Trn5Zdfdj766CPnhhtucHp7e50//elP6X8/+eSTzr/92785juM4L7zwgvPQQw+d9W04Hzz22GPODTfc4Nx0002O44zMHHzjG99wuru7Hdu2nVtvvdXp7OwcnY07B506H01NTc4TTzzR7zbMx9nR3Nzs1NbWOo7jOJ988onzN3/zNzw/RgGHfk4y1Fl4MfIOHDigo0eP6pZbbtGqVasUCoX+4uzFr7/+uvbt25c+e3EwGEyfvfjk+br22mv1xhtvjObmnLOKi4v16KOPpi+f6RxEIhHF43EVFxfLsixdc801zE0WTp2Pzs5Ovfrqq/rmN7+p733ve4pEIszHWXL99dfrO9/5Tvqy2+3m+TEKCJWTDHZGXeTGmDFjVF1drSeeeEL/9E//pHvvvTersxeffP3x2yJ71113XfokjpLOeA5OfR4xN9k5dT7mzJmj+++/X08//bSmTJmizZs3Mx9nid/vVyAQUCQS0V133aW7776b58coIFROMtRZeDHypk2bpm984xuyLEvTpk1TYWGhPv744/TyTGcvPvn647fFmcvmDNIDzcFAt2VuTl95eblmz56d/vfbb7/NfJxFv//977Vq1SotWbJEixcv5vkxCgiVkwx1Fl6MvObmZjU0NEiS/vjHPyoSiWj+/PnDPnvxvHnz9POf/zx927KyslHblvNJNmeQHmgOAoGA8vLy9H//939yHEevvfaarrzyytHcpHNadXW19u3bJ0l64403NGvWLObjLDly5IhuueUW3XfffVq6dKkknh+jgRO+nWSwM+oiN+LxuB544AH97ne/k2VZuvfee3XBBRcM++zFR48e1dq1a3X48GHl5eXpRz/6kSZNmjTam3VO+uCDD3TPPfeoqakpqzNIDzYHoVBIdXV1SiaTuuaaa7RmzZrR3sRzysnzsX//fj300EPKy8vTxIkT9dBDDykQCDAfZ0Ftba3+53/+R5dddln6ugcffFC1tbU8P84iQgUAABiLQz8AAMBYhAoAADAWoQIAAIxFqAAAAGMRKgAAwFiczQzAWfXYY4/p9ddfl8vlkmVZWrNmTfqEZic7+SO6AD6/CBUAZ827776rlpYWPfPMM7IsS++8847Wrl2r//qv/xrtVQNgKEIFwFkzfvx4/e53v1Nzc7OuvfZaXXHFFWpubtZbb72lf//3f5ckHTt2TA8//LDy8vLS49566y398z//s9xut6ZMmaIf/OAH+uCDD/TAAw/I4/HI7XbrkUceUVFR0WhtGoAc4YRvAM6q/fv366mnntIbb7yhMWPGaM2aNTpy5Ii+9rWvqaioSD/+8Y/lOI4WL16se+65R42Njbr++uv1k5/8RBMmTNC//Mu/6JJLLlEikdBvf/tb1dTUqK2tTRMmTODXXgDnIfaoADhruru7FQgEVF9fL0n69a9/rdtuu03333+/Nm7cqIKCAv3xj3/UvHnz0mM++eQTffTRR7r77rslpfa4zJ8/X3fccYcef/xx3XrrrQoGg5yGHDhPESoAzpqDBw/qmWee0Y9//GPl5+dr2rRpCgaDqqur0+7duxUIBLR27VqdvKP3ggsu0EUXXaQtW7YoGAzqlVdeUUFBgV555RWVlZXp29/+tl544QVt27YtHUAAzh+ECoCz5utf/7q6urp00003qaCgQI7j6P7779cvf/lLVVZWauzYsZo4caI++uij9BiXy6UHH3xQt912mxzHkd/v1yOPPKJoNKr77rtPjz76qFwulx544IFR3DIAucJ7VAAAgLE44RsAADAWoQIAAIxFqAAAAGMRKgAAwFiECgAAMBahAgAAjEWoAAAAYxEqAADAWP8fzpcYPJk7Ij8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 648x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# used for examining univariate and bivariate distributions.\n",
    "print(df['Sales'].describe())\n",
    "plt.figure(figsize = (9 , 8))\n",
    "sns.distplot(df['Sales'], color = 'b', bins = 100, hist_kws = {'alpha': 0.4});"
   ]
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}