india-crime-against-women-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Main aim for this notebook is to show how to plot basic bar plot and stacked diagram by using given data.\n",
    "### We will also learn basic dataset operations using pandas library.\n",
    "### If you like it please upvote my tutorial and follow my page on fb:\n",
    "### https://www.facebook.com/codemakerz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['RS_Session_246_AS11.csv', 'RS_Session_246_AU_98_1.1.csv']\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math\n",
    "# Input data files are available in the \"../input/\" directory.\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
    "\n",
    "import os\n",
    "print(os.listdir(\"../input\"))\n",
    "\n",
    "# Any results you write to the current directory are saved as output."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"../input/RS_Session_246_AU_98_1.1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State/UT</th>\n",
       "      <th>2014 - Cases registered</th>\n",
       "      <th>2014 - Total rape Cases</th>\n",
       "      <th>2015 - Cases registered</th>\n",
       "      <th>2015 - Total rape Cases</th>\n",
       "      <th>2016 - Cases registered</th>\n",
       "      <th>2016 - Total rape Cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Daman &amp; Diu</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>41</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>15319</td>\n",
       "      <td>2096</td>\n",
       "      <td>17222</td>\n",
       "      <td>2199</td>\n",
       "      <td>15310</td>\n",
       "      <td>2155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Puducherry</td>\n",
       "      <td>77</td>\n",
       "      <td>10</td>\n",
       "      <td>82</td>\n",
       "      <td>3</td>\n",
       "      <td>95</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Total (All India)</td>\n",
       "      <td>339457</td>\n",
       "      <td>36735</td>\n",
       "      <td>329243</td>\n",
       "      <td>34651</td>\n",
       "      <td>338954</td>\n",
       "      <td>38947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             State/UT           ...             2016 - Total rape Cases\n",
       "32        Daman & Diu           ...                                  12\n",
       "33              Delhi           ...                                2155\n",
       "34        Lakshadweep           ...                                   5\n",
       "35         Puducherry           ...                                   6\n",
       "36  Total (All India)           ...                               38947\n",
       "\n",
       "[5 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove Total Count Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df.index[[36]], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State/UT                   0\n",
       "2014 - Cases registered    0\n",
       "2014 - Total rape Cases    0\n",
       "2015 - Cases registered    0\n",
       "2015 - Total rape Cases    0\n",
       "2016 - Cases registered    0\n",
       "2016 - Total rape Cases    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum() # There are no missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### State Vs Case Registered Agains Women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x1080 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 15));\n",
    "df.groupby([\"State/UT\", \"2014 - Cases registered\", \"2015 - Cases registered\", \"2016 - Cases registered\"]).sum().plot(kind=\"bar\",width=0.7, figsize=(15, 10), title=\"State Vs Total Case Registered Against Women\");\n",
    "plt.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>State/UT</th>\n",
       "      <th>2014 - Cases registered</th>\n",
       "      <th>2014 - Total rape Cases</th>\n",
       "      <th>2015 - Cases registered</th>\n",
       "      <th>2015 - Total rape Cases</th>\n",
       "      <th>2016 - Cases registered</th>\n",
       "      <th>2016 - Total rape Cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>16526</td>\n",
       "      <td>961</td>\n",
       "      <td>15967</td>\n",
       "      <td>1027</td>\n",
       "      <td>16362</td>\n",
       "      <td>994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>351</td>\n",
       "      <td>83</td>\n",
       "      <td>384</td>\n",
       "      <td>71</td>\n",
       "      <td>367</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>19169</td>\n",
       "      <td>1980</td>\n",
       "      <td>23365</td>\n",
       "      <td>1733</td>\n",
       "      <td>20869</td>\n",
       "      <td>1779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>15393</td>\n",
       "      <td>1127</td>\n",
       "      <td>13904</td>\n",
       "      <td>1041</td>\n",
       "      <td>13400</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>6301</td>\n",
       "      <td>1436</td>\n",
       "      <td>5783</td>\n",
       "      <td>1560</td>\n",
       "      <td>5947</td>\n",
       "      <td>1626</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State/UT           ...             2016 - Total rape Cases\n",
       "0     Andhra Pradesh           ...                                 994\n",
       "1  Arunachal Pradesh           ...                                  92\n",
       "2              Assam           ...                                1779\n",
       "3              Bihar           ...                                1008\n",
       "4       Chhattisgarh           ...                                1626\n",
       "\n",
       "[5 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### State Vs Year wise Total Rape Case"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x1080 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 15));\n",
    "df.groupby([\"State/UT\", \"2014 - Total rape Cases\", \"2015 - Total rape Cases\", \"2016 - Total rape Cases\"]).sum().plot(kind=\"bar\",width=0.7, figsize=(15, 10), title=\"State Vs Total Rape Case Registered Against Women\");\n",
    "plt.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>State/UT</th>\n",
       "      <th>2014 - Cases registered</th>\n",
       "      <th>2014 - Total rape Cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>16526</td>\n",
       "      <td>961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>351</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>19169</td>\n",
       "      <td>1980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>15393</td>\n",
       "      <td>1127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>6301</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State/UT           ...             2014 - Total rape Cases\n",
       "0     Andhra Pradesh           ...                                 961\n",
       "1  Arunachal Pradesh           ...                                  83\n",
       "2              Assam           ...                                1980\n",
       "3              Bihar           ...                                1127\n",
       "4       Chhattisgarh           ...                                1436\n",
       "\n",
       "[5 rows x 3 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"State/UT\", \"2014 - Cases registered\", \"2014 - Total rape Cases\"]].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# adding rape percentage in 2014\n",
    "df[\"Rape_2014_perc\"] = (df[\"2014 - Total rape Cases\"]/df[\"2014 - Cases registered\"])*100\n",
    "df[\"Rape_2014_perc\"] = df[\"Rape_2014_perc\"].map(lambda x: round(x, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>State/UT</th>\n",
       "      <th>2014 - Cases registered</th>\n",
       "      <th>2014 - Total rape Cases</th>\n",
       "      <th>2015 - Cases registered</th>\n",
       "      <th>2015 - Total rape Cases</th>\n",
       "      <th>2016 - Cases registered</th>\n",
       "      <th>2016 - Total rape Cases</th>\n",
       "      <th>Rape_2014_perc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>16526</td>\n",
       "      <td>961</td>\n",
       "      <td>15967</td>\n",
       "      <td>1027</td>\n",
       "      <td>16362</td>\n",
       "      <td>994</td>\n",
       "      <td>5.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>351</td>\n",
       "      <td>83</td>\n",
       "      <td>384</td>\n",
       "      <td>71</td>\n",
       "      <td>367</td>\n",
       "      <td>92</td>\n",
       "      <td>23.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>19169</td>\n",
       "      <td>1980</td>\n",
       "      <td>23365</td>\n",
       "      <td>1733</td>\n",
       "      <td>20869</td>\n",
       "      <td>1779</td>\n",
       "      <td>10.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>15393</td>\n",
       "      <td>1127</td>\n",
       "      <td>13904</td>\n",
       "      <td>1041</td>\n",
       "      <td>13400</td>\n",
       "      <td>1008</td>\n",
       "      <td>7.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>6301</td>\n",
       "      <td>1436</td>\n",
       "      <td>5783</td>\n",
       "      <td>1560</td>\n",
       "      <td>5947</td>\n",
       "      <td>1626</td>\n",
       "      <td>22.79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State/UT       ...        Rape_2014_perc\n",
       "0     Andhra Pradesh       ...                  5.82\n",
       "1  Arunachal Pradesh       ...                 23.65\n",
       "2              Assam       ...                 10.33\n",
       "3              Bihar       ...                  7.32\n",
       "4       Chhattisgarh       ...                 22.79\n",
       "\n",
       "[5 rows x 8 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Same add for 2015 & 2016\n",
    "df[\"Rape_2015_perc\"] = (df[\"2015 - Total rape Cases\"]/df[\"2015 - Cases registered\"])*100\n",
    "df[\"Rape_2015_perc\"] = df[\"Rape_2015_perc\"].map(lambda x: round(x, 2))\n",
    "df[\"Rape_2016_perc\"] = (df[\"2016 - Total rape Cases\"]/df[\"2016 - Cases registered\"])*100\n",
    "df[\"Rape_2016_perc\"] = df[\"Rape_2016_perc\"].map(lambda x: round(x, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>State/UT</th>\n",
       "      <th>2014 - Cases registered</th>\n",
       "      <th>2014 - Total rape Cases</th>\n",
       "      <th>2015 - Cases registered</th>\n",
       "      <th>2015 - Total rape Cases</th>\n",
       "      <th>2016 - Cases registered</th>\n",
       "      <th>2016 - Total rape Cases</th>\n",
       "      <th>Rape_2014_perc</th>\n",
       "      <th>Rape_2015_perc</th>\n",
       "      <th>Rape_2016_perc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>16526</td>\n",
       "      <td>961</td>\n",
       "      <td>15967</td>\n",
       "      <td>1027</td>\n",
       "      <td>16362</td>\n",
       "      <td>994</td>\n",
       "      <td>5.82</td>\n",
       "      <td>6.43</td>\n",
       "      <td>6.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>351</td>\n",
       "      <td>83</td>\n",
       "      <td>384</td>\n",
       "      <td>71</td>\n",
       "      <td>367</td>\n",
       "      <td>92</td>\n",
       "      <td>23.65</td>\n",
       "      <td>18.49</td>\n",
       "      <td>25.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>19169</td>\n",
       "      <td>1980</td>\n",
       "      <td>23365</td>\n",
       "      <td>1733</td>\n",
       "      <td>20869</td>\n",
       "      <td>1779</td>\n",
       "      <td>10.33</td>\n",
       "      <td>7.42</td>\n",
       "      <td>8.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>15393</td>\n",
       "      <td>1127</td>\n",
       "      <td>13904</td>\n",
       "      <td>1041</td>\n",
       "      <td>13400</td>\n",
       "      <td>1008</td>\n",
       "      <td>7.32</td>\n",
       "      <td>7.49</td>\n",
       "      <td>7.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>6301</td>\n",
       "      <td>1436</td>\n",
       "      <td>5783</td>\n",
       "      <td>1560</td>\n",
       "      <td>5947</td>\n",
       "      <td>1626</td>\n",
       "      <td>22.79</td>\n",
       "      <td>26.98</td>\n",
       "      <td>27.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State/UT       ...        Rape_2016_perc\n",
       "0     Andhra Pradesh       ...                  6.08\n",
       "1  Arunachal Pradesh       ...                 25.07\n",
       "2              Assam       ...                  8.52\n",
       "3              Bihar       ...                  7.52\n",
       "4       Chhattisgarh       ...                 27.34\n",
       "\n",
       "[5 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## State wise Rape Percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "ax=df.groupby('State/UT')[\"Rape_2014_perc\", \"Rape_2015_perc\", \"Rape_2016_perc\"].sum().plot.bar(stacked=True, figsize=(15, 15), title=\"State Vs Rape Percentage\");\n",
    "ax.set_xlabel(\"States\");\n",
    "ax.set_ylabel(\"Percentage(%)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(\"../input/RS_Session_246_AS11.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>States/UTs</th>\n",
       "      <th>Rape - 2015</th>\n",
       "      <th>Rape - 2016</th>\n",
       "      <th>Assaults (molestation) - 2015</th>\n",
       "      <th>Assaults (molestation) - 2016</th>\n",
       "      <th>Murder (women) - 2015</th>\n",
       "      <th>Murder (women) - 2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1027</td>\n",
       "      <td>994</td>\n",
       "      <td>4616</td>\n",
       "      <td>4829</td>\n",
       "      <td>428</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>71</td>\n",
       "      <td>92</td>\n",
       "      <td>101</td>\n",
       "      <td>109</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>1733</td>\n",
       "      <td>1779</td>\n",
       "      <td>4293</td>\n",
       "      <td>3378</td>\n",
       "      <td>185</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>1041</td>\n",
       "      <td>1008</td>\n",
       "      <td>198</td>\n",
       "      <td>324</td>\n",
       "      <td>340</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>1560</td>\n",
       "      <td>1626</td>\n",
       "      <td>1868</td>\n",
       "      <td>1770</td>\n",
       "      <td>338</td>\n",
       "      <td>347</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          States/UTs          ...            Murder (women) - 2016\n",
       "0     Andhra Pradesh          ...                              411\n",
       "1  Arunachal Pradesh          ...                               11\n",
       "2              Assam          ...                              220\n",
       "3              Bihar          ...                              318\n",
       "4       Chhattisgarh          ...                              347\n",
       "\n",
       "[5 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove total column\n",
    "df2.drop(df2.index[[37, 38, 29]], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_only_states_ut = df2.iloc[:37, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "df_only_states_ut.drop(df_only_states_ut.index[29], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>States/UTs</th>\n",
       "      <th>Rape - 2015</th>\n",
       "      <th>Rape - 2016</th>\n",
       "      <th>Assaults (molestation) - 2015</th>\n",
       "      <th>Assaults (molestation) - 2016</th>\n",
       "      <th>Murder (women) - 2015</th>\n",
       "      <th>Murder (women) - 2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1027</td>\n",
       "      <td>994</td>\n",
       "      <td>4616</td>\n",
       "      <td>4829</td>\n",
       "      <td>428</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>71</td>\n",
       "      <td>92</td>\n",
       "      <td>101</td>\n",
       "      <td>109</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>1733</td>\n",
       "      <td>1779</td>\n",
       "      <td>4293</td>\n",
       "      <td>3378</td>\n",
       "      <td>185</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>1041</td>\n",
       "      <td>1008</td>\n",
       "      <td>198</td>\n",
       "      <td>324</td>\n",
       "      <td>340</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>1560</td>\n",
       "      <td>1626</td>\n",
       "      <td>1868</td>\n",
       "      <td>1770</td>\n",
       "      <td>338</td>\n",
       "      <td>347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Goa</td>\n",
       "      <td>86</td>\n",
       "      <td>61</td>\n",
       "      <td>150</td>\n",
       "      <td>143</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gujarat</td>\n",
       "      <td>503</td>\n",
       "      <td>982</td>\n",
       "      <td>1164</td>\n",
       "      <td>1224</td>\n",
       "      <td>269</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Haryana</td>\n",
       "      <td>1070</td>\n",
       "      <td>1187</td>\n",
       "      <td>1886</td>\n",
       "      <td>1860</td>\n",
       "      <td>197</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>244</td>\n",
       "      <td>252</td>\n",
       "      <td>434</td>\n",
       "      <td>410</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Jammu &amp; Kashmir</td>\n",
       "      <td>296</td>\n",
       "      <td>256</td>\n",
       "      <td>1343</td>\n",
       "      <td>1235</td>\n",
       "      <td>19</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>1053</td>\n",
       "      <td>1109</td>\n",
       "      <td>844</td>\n",
       "      <td>667</td>\n",
       "      <td>137</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Karnataka</td>\n",
       "      <td>589</td>\n",
       "      <td>1655</td>\n",
       "      <td>5112</td>\n",
       "      <td>5260</td>\n",
       "      <td>574</td>\n",
       "      <td>547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kerala</td>\n",
       "      <td>1256</td>\n",
       "      <td>1656</td>\n",
       "      <td>3987</td>\n",
       "      <td>4029</td>\n",
       "      <td>97</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>4391</td>\n",
       "      <td>4882</td>\n",
       "      <td>8049</td>\n",
       "      <td>8717</td>\n",
       "      <td>656</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>4144</td>\n",
       "      <td>4189</td>\n",
       "      <td>11713</td>\n",
       "      <td>11396</td>\n",
       "      <td>780</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Manipur</td>\n",
       "      <td>46</td>\n",
       "      <td>55</td>\n",
       "      <td>84</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>93</td>\n",
       "      <td>190</td>\n",
       "      <td>95</td>\n",
       "      <td>68</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mizoram</td>\n",
       "      <td>58</td>\n",
       "      <td>23</td>\n",
       "      <td>75</td>\n",
       "      <td>71</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Nagaland</td>\n",
       "      <td>35</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Odisha</td>\n",
       "      <td>2251</td>\n",
       "      <td>1983</td>\n",
       "      <td>6499</td>\n",
       "      <td>8252</td>\n",
       "      <td>666</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Punjab</td>\n",
       "      <td>886</td>\n",
       "      <td>838</td>\n",
       "      <td>1123</td>\n",
       "      <td>1025</td>\n",
       "      <td>194</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>3644</td>\n",
       "      <td>3656</td>\n",
       "      <td>4813</td>\n",
       "      <td>4839</td>\n",
       "      <td>224</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Sikkim</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>421</td>\n",
       "      <td>319</td>\n",
       "      <td>1163</td>\n",
       "      <td>854</td>\n",
       "      <td>532</td>\n",
       "      <td>468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Telangana</td>\n",
       "      <td>1105</td>\n",
       "      <td>1278</td>\n",
       "      <td>3608</td>\n",
       "      <td>3767</td>\n",
       "      <td>418</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Tripura</td>\n",
       "      <td>213</td>\n",
       "      <td>207</td>\n",
       "      <td>352</td>\n",
       "      <td>214</td>\n",
       "      <td>52</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>3025</td>\n",
       "      <td>4816</td>\n",
       "      <td>7885</td>\n",
       "      <td>11335</td>\n",
       "      <td>1135</td>\n",
       "      <td>1217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>283</td>\n",
       "      <td>336</td>\n",
       "      <td>318</td>\n",
       "      <td>344</td>\n",
       "      <td>53</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>West Bengal</td>\n",
       "      <td>1199</td>\n",
       "      <td>1110</td>\n",
       "      <td>5069</td>\n",
       "      <td>4177</td>\n",
       "      <td>737</td>\n",
       "      <td>983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>72</td>\n",
       "      <td>68</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>D&amp;N Haveli</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Daman &amp; Diu</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Delhi UT</td>\n",
       "      <td>2199</td>\n",
       "      <td>2155</td>\n",
       "      <td>5367</td>\n",
       "      <td>4165</td>\n",
       "      <td>124</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Puducherry</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>33</td>\n",
       "      <td>43</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           States/UTs          ...            Murder (women) - 2016\n",
       "0      Andhra Pradesh          ...                              411\n",
       "1   Arunachal Pradesh          ...                               11\n",
       "2               Assam          ...                              220\n",
       "3               Bihar          ...                              318\n",
       "4        Chhattisgarh          ...                              347\n",
       "5                 Goa          ...                               16\n",
       "6             Gujarat          ...                              288\n",
       "7             Haryana          ...                              226\n",
       "8    Himachal Pradesh          ...                               28\n",
       "9     Jammu & Kashmir          ...                               24\n",
       "10          Jharkhand          ...                              174\n",
       "11          Karnataka          ...                              547\n",
       "12             Kerala          ...                               99\n",
       "13     Madhya Pradesh          ...                              645\n",
       "14        Maharashtra          ...                              756\n",
       "15            Manipur          ...                               18\n",
       "16          Meghalaya          ...                               11\n",
       "17            Mizoram          ...                               13\n",
       "18           Nagaland          ...                                9\n",
       "19             Odisha          ...                              591\n",
       "20             Punjab          ...                              201\n",
       "21          Rajasthan          ...                              238\n",
       "22             Sikkim          ...                                7\n",
       "23         Tamil Nadu          ...                              468\n",
       "24          Telangana          ...                              311\n",
       "25            Tripura          ...                               64\n",
       "26      Uttar Pradesh          ...                             1217\n",
       "27        Uttarakhand          ...                               47\n",
       "28        West Bengal          ...                              983\n",
       "31         Chandigarh          ...                                3\n",
       "32         D&N Haveli          ...                                1\n",
       "33        Daman & Diu          ...                                0\n",
       "34           Delhi UT          ...                              123\n",
       "35        Lakshadweep          ...                                0\n",
       "36         Puducherry          ...                                8\n",
       "\n",
       "[35 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_only_states_ut"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## State wise Crime Bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_only_states_ut.groupby(\"States/UTs\").sum().plot.barh(figsize=(15,25), width=0.7);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2[\"total_crime\"] = df2.sum(axis = 1, skipna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>States/UTs</th>\n",
       "      <th>Rape - 2015</th>\n",
       "      <th>Rape - 2016</th>\n",
       "      <th>Assaults (molestation) - 2015</th>\n",
       "      <th>Assaults (molestation) - 2016</th>\n",
       "      <th>Murder (women) - 2015</th>\n",
       "      <th>Murder (women) - 2016</th>\n",
       "      <th>total_crime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>1027</td>\n",
       "      <td>994</td>\n",
       "      <td>4616</td>\n",
       "      <td>4829</td>\n",
       "      <td>428</td>\n",
       "      <td>411</td>\n",
       "      <td>12305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>71</td>\n",
       "      <td>92</td>\n",
       "      <td>101</td>\n",
       "      <td>109</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>1733</td>\n",
       "      <td>1779</td>\n",
       "      <td>4293</td>\n",
       "      <td>3378</td>\n",
       "      <td>185</td>\n",
       "      <td>220</td>\n",
       "      <td>11588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>1041</td>\n",
       "      <td>1008</td>\n",
       "      <td>198</td>\n",
       "      <td>324</td>\n",
       "      <td>340</td>\n",
       "      <td>318</td>\n",
       "      <td>3229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>1560</td>\n",
       "      <td>1626</td>\n",
       "      <td>1868</td>\n",
       "      <td>1770</td>\n",
       "      <td>338</td>\n",
       "      <td>347</td>\n",
       "      <td>7509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          States/UTs     ...       total_crime\n",
       "0     Andhra Pradesh     ...             12305\n",
       "1  Arunachal Pradesh     ...               393\n",
       "2              Assam     ...             11588\n",
       "3              Bihar     ...              3229\n",
       "4       Chhattisgarh     ...              7509\n",
       "\n",
       "[5 rows x 8 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## State Vs Total Crimes Logged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff414f54f60>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.groupby([\"States/UTs\"])[\"total_crime\"].sum().plot.bar(figsize=(15, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}