gyts-4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</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>Area</th>\n",
       "      <th>Ever tobacco users (%)</th>\n",
       "      <th>Current tobacco users (%)</th>\n",
       "      <th>Ever tobacco smokers (%)</th>\n",
       "      <th>Current tobacco smokers (%)</th>\n",
       "      <th>Ever cigarette users (%)</th>\n",
       "      <th>Current cigarette users (%)</th>\n",
       "      <th>Ever bidi users (%)</th>\n",
       "      <th>Current bidi users (%)</th>\n",
       "      <th>...</th>\n",
       "      <th>Students who noticed cigarette advertisements/promotions at point of sale in past 30 days (%)</th>\n",
       "      <th>Students who were taught in class about harmful effects of tobacco use during past 12 months (%)</th>\n",
       "      <th>Students who thought it is difficult to quit once someone starts smoking tobacco (%)</th>\n",
       "      <th>Students who thought other people’s tobacco smoking is harmful to them (%)</th>\n",
       "      <th>Students who favoured ban on smoking inside enclosed public places (%)</th>\n",
       "      <th>Students who favoured ban on smoking at outdoor public places (%)</th>\n",
       "      <th>School heads aware of COTPA, 2003  (%)</th>\n",
       "      <th>Schools authorized by the state government to collect fine for violation under Section-6 of the COTPA, 2003  (%)</th>\n",
       "      <th>Schools followed ‘tobacco-free school’ guidelines  (%)</th>\n",
       "      <th>Schools aware of the policy for displaying ‘tobacco-free school’ board  (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>India</td>\n",
       "      <td>Total</td>\n",
       "      <td>18.1</td>\n",
       "      <td>8.5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>...</td>\n",
       "      <td>17.5</td>\n",
       "      <td>37.8</td>\n",
       "      <td>26.0</td>\n",
       "      <td>70.6</td>\n",
       "      <td>58.1</td>\n",
       "      <td>60.5</td>\n",
       "      <td>85.4</td>\n",
       "      <td>38.2</td>\n",
       "      <td>82.1</td>\n",
       "      <td>82.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Urban</td>\n",
       "      <td>13.5</td>\n",
       "      <td>5.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>...</td>\n",
       "      <td>16.3</td>\n",
       "      <td>34.1</td>\n",
       "      <td>30.1</td>\n",
       "      <td>73.3</td>\n",
       "      <td>64.8</td>\n",
       "      <td>67.4</td>\n",
       "      <td>86.9</td>\n",
       "      <td>36.4</td>\n",
       "      <td>82.4</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>India</td>\n",
       "      <td>Rural</td>\n",
       "      <td>19.5</td>\n",
       "      <td>9.4</td>\n",
       "      <td>11.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.2</td>\n",
       "      <td>...</td>\n",
       "      <td>17.8</td>\n",
       "      <td>38.9</td>\n",
       "      <td>24.8</td>\n",
       "      <td>69.8</td>\n",
       "      <td>56.1</td>\n",
       "      <td>58.6</td>\n",
       "      <td>84.6</td>\n",
       "      <td>39.2</td>\n",
       "      <td>81.9</td>\n",
       "      <td>82.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>Total</td>\n",
       "      <td>21.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>21.1</td>\n",
       "      <td>23.4</td>\n",
       "      <td>23.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>60.6</td>\n",
       "      <td>88.6</td>\n",
       "      <td>1.1</td>\n",
       "      <td>76.0</td>\n",
       "      <td>67.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>Urban</td>\n",
       "      <td>13.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>20.2</td>\n",
       "      <td>25.7</td>\n",
       "      <td>26.9</td>\n",
       "      <td>66.6</td>\n",
       "      <td>65.1</td>\n",
       "      <td>60.9</td>\n",
       "      <td>89.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.3</td>\n",
       "      <td>42.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      State/UT   Area  Ever tobacco users (%)  \\\n",
       "0                        India  Total                    18.1   \n",
       "1                        India  Urban                    13.5   \n",
       "2                        India  Rural                    19.5   \n",
       "3  Andaman and Nicobar Islands  Total                    21.5   \n",
       "4  Andaman and Nicobar Islands  Urban                    13.3   \n",
       "\n",
       "   Current tobacco users (%)  Ever tobacco smokers (%)  \\\n",
       "0                        8.5                      11.0   \n",
       "1                        5.5                       8.1   \n",
       "2                        9.4                      11.8   \n",
       "3                        4.4                       8.8   \n",
       "4                        3.4                       6.5   \n",
       "\n",
       "   Current tobacco smokers (%)  Ever cigarette users (%)  \\\n",
       "0                          7.3                       4.6   \n",
       "1                          4.5                       4.1   \n",
       "2                          8.1                       4.7   \n",
       "3                          3.7                       4.4   \n",
       "4                          2.6                       3.7   \n",
       "\n",
       "   Current cigarette users (%)  Ever bidi users (%)   Current bidi users (%)  \\\n",
       "0                          2.6                   4.1                     2.1   \n",
       "1                          2.3                   3.7                     1.9   \n",
       "2                          2.6                   4.3                     2.2   \n",
       "3                          1.3                   2.7                     1.0   \n",
       "4                          1.3                   2.0                     0.7   \n",
       "\n",
       "   ...  \\\n",
       "0  ...   \n",
       "1  ...   \n",
       "2  ...   \n",
       "3  ...   \n",
       "4  ...   \n",
       "\n",
       "   Students who noticed cigarette advertisements/promotions at point of sale in past 30 days (%)  \\\n",
       "0                                               17.5                                               \n",
       "1                                               16.3                                               \n",
       "2                                               17.8                                               \n",
       "3                                               21.1                                               \n",
       "4                                               20.2                                               \n",
       "\n",
       "   Students who were taught in class about harmful effects of tobacco use during past 12 months (%)  \\\n",
       "0                                               37.8                                                  \n",
       "1                                               34.1                                                  \n",
       "2                                               38.9                                                  \n",
       "3                                               23.4                                                  \n",
       "4                                               25.7                                                  \n",
       "\n",
       "   Students who thought it is difficult to quit once someone starts smoking tobacco (%)  \\\n",
       "0                                               26.0                                      \n",
       "1                                               30.1                                      \n",
       "2                                               24.8                                      \n",
       "3                                               23.0                                      \n",
       "4                                               26.9                                      \n",
       "\n",
       "   Students who thought other people’s tobacco smoking is harmful to them (%)  \\\n",
       "0                                               70.6                            \n",
       "1                                               73.3                            \n",
       "2                                               69.8                            \n",
       "3                                               69.0                            \n",
       "4                                               66.6                            \n",
       "\n",
       "  Students who favoured ban on smoking inside enclosed public places (%)  \\\n",
       "0                                               58.1                       \n",
       "1                                               64.8                       \n",
       "2                                               56.1                       \n",
       "3                                               65.0                       \n",
       "4                                               65.1                       \n",
       "\n",
       "  Students who favoured ban on smoking at outdoor public places (%)  \\\n",
       "0                                               60.5                  \n",
       "1                                               67.4                  \n",
       "2                                               58.6                  \n",
       "3                                               60.6                  \n",
       "4                                               60.9                  \n",
       "\n",
       "  School heads aware of COTPA, 2003  (%)  \\\n",
       "0                                   85.4   \n",
       "1                                   86.9   \n",
       "2                                   84.6   \n",
       "3                                   88.6   \n",
       "4                                   89.1   \n",
       "\n",
       "   Schools authorized by the state government to collect fine for violation under Section-6 of the COTPA, 2003  (%)  \\\n",
       "0                                               38.2                                                                  \n",
       "1                                               36.4                                                                  \n",
       "2                                               39.2                                                                  \n",
       "3                                                1.1                                                                  \n",
       "4                                                0.0                                                                  \n",
       "\n",
       "   Schools followed ‘tobacco-free school’ guidelines  (%)  \\\n",
       "0                                               82.1        \n",
       "1                                               82.4        \n",
       "2                                               81.9        \n",
       "3                                               76.0        \n",
       "4                                               85.3        \n",
       "\n",
       "   Schools aware of the policy for displaying ‘tobacco-free school’ board  (%)  \n",
       "0                                               82.5                            \n",
       "1                                               83.0                            \n",
       "2                                               82.2                            \n",
       "3                                               67.9                            \n",
       "4                                               42.5                            \n",
       "\n",
       "[5 rows x 59 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat = pd.read_csv('assets/datafile.csv')\n",
    "dat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['India', 'Andaman and Nicobar Islands', 'Andhra Pradesh',\n",
       "       'Arunachal Pradesh', 'Assam', 'Bihar', 'Chandigarh',\n",
       "       'Chhattisgarh', 'Dadra and Nagar Haweli', 'Daman and Diu', 'Delhi',\n",
       "       'Goa', 'Gujarat', 'Haryana', 'Himachal Pradesh', 'Jharkhand',\n",
       "       'Karnataka', 'Kerala', 'Lakshadweep', 'Madhya Pradesh',\n",
       "       'Maharashtra', 'Manipur', 'Meghalaya', 'Mizoram', 'Nagaland',\n",
       "       'Odisha', 'Puducherry', 'Punjab', 'Rajasthan', 'Sikkim',\n",
       "       'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh',\n",
       "       'Uttarakhand', 'West Bengal'], dtype=object)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat['State/UT'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>State/UT</th>\n",
       "      <th>Area</th>\n",
       "      <th>Ever tobacco users (%)</th>\n",
       "      <th>Current tobacco users (%)</th>\n",
       "      <th>Ever tobacco smokers (%)</th>\n",
       "      <th>Current tobacco smokers (%)</th>\n",
       "      <th>Ever cigarette users (%)</th>\n",
       "      <th>Current cigarette users (%)</th>\n",
       "      <th>Ever bidi users (%)</th>\n",
       "      <th>Current bidi users (%)</th>\n",
       "      <th>...</th>\n",
       "      <th>Students who noticed cigarette advertisements/promotions at point of sale in past 30 days (%)</th>\n",
       "      <th>Students who were taught in class about harmful effects of tobacco use during past 12 months (%)</th>\n",
       "      <th>Students who thought it is difficult to quit once someone starts smoking tobacco (%)</th>\n",
       "      <th>Students who thought other people’s tobacco smoking is harmful to them (%)</th>\n",
       "      <th>Students who favoured ban on smoking inside enclosed public places (%)</th>\n",
       "      <th>Students who favoured ban on smoking at outdoor public places (%)</th>\n",
       "      <th>School heads aware of COTPA, 2003  (%)</th>\n",
       "      <th>Schools authorized by the state government to collect fine for violation under Section-6 of the COTPA, 2003  (%)</th>\n",
       "      <th>Schools followed ‘tobacco-free school’ guidelines  (%)</th>\n",
       "      <th>Schools aware of the policy for displaying ‘tobacco-free school’ board  (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>West Bengal</td>\n",
       "      <td>Total</td>\n",
       "      <td>17.3</td>\n",
       "      <td>7.1</td>\n",
       "      <td>9.3</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.9</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>25.1</td>\n",
       "      <td>19.9</td>\n",
       "      <td>73.7</td>\n",
       "      <td>48.1</td>\n",
       "      <td>49.3</td>\n",
       "      <td>94.3</td>\n",
       "      <td>65.7</td>\n",
       "      <td>85.7</td>\n",
       "      <td>91.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>West Bengal</td>\n",
       "      <td>Urban</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>9.1</td>\n",
       "      <td>4.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>...</td>\n",
       "      <td>23.4</td>\n",
       "      <td>39.3</td>\n",
       "      <td>26.3</td>\n",
       "      <td>74.1</td>\n",
       "      <td>74.8</td>\n",
       "      <td>74.1</td>\n",
       "      <td>85.7</td>\n",
       "      <td>57.1</td>\n",
       "      <td>71.4</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        State/UT   Area  Ever tobacco users (%)  Current tobacco users (%)  \\\n",
       "105  West Bengal  Total                    17.3                        7.1   \n",
       "106  West Bengal  Urban                    18.0                        6.9   \n",
       "\n",
       "     Ever tobacco smokers (%)  Current tobacco smokers (%)  \\\n",
       "105                       9.3                          5.2   \n",
       "106                       9.1                          4.1   \n",
       "\n",
       "     Ever cigarette users (%)  Current cigarette users (%)  \\\n",
       "105                       5.4                          3.6   \n",
       "106                       5.0                          2.2   \n",
       "\n",
       "     Ever bidi users (%)   Current bidi users (%)  ...  \\\n",
       "105                   5.5                     2.9  ...   \n",
       "106                   2.9                     1.4  ...   \n",
       "\n",
       "     Students who noticed cigarette advertisements/promotions at point of sale in past 30 days (%)  \\\n",
       "105                                               21.0                                               \n",
       "106                                               23.4                                               \n",
       "\n",
       "     Students who were taught in class about harmful effects of tobacco use during past 12 months (%)  \\\n",
       "105                                               25.1                                                  \n",
       "106                                               39.3                                                  \n",
       "\n",
       "     Students who thought it is difficult to quit once someone starts smoking tobacco (%)  \\\n",
       "105                                               19.9                                      \n",
       "106                                               26.3                                      \n",
       "\n",
       "     Students who thought other people’s tobacco smoking is harmful to them (%)  \\\n",
       "105                                               73.7                            \n",
       "106                                               74.1                            \n",
       "\n",
       "    Students who favoured ban on smoking inside enclosed public places (%)  \\\n",
       "105                                               48.1                       \n",
       "106                                               74.8                       \n",
       "\n",
       "    Students who favoured ban on smoking at outdoor public places (%)  \\\n",
       "105                                               49.3                  \n",
       "106                                               74.1                  \n",
       "\n",
       "    School heads aware of COTPA, 2003  (%)  \\\n",
       "105                                   94.3   \n",
       "106                                   85.7   \n",
       "\n",
       "     Schools authorized by the state government to collect fine for violation under Section-6 of the COTPA, 2003  (%)  \\\n",
       "105                                               65.7                                                                  \n",
       "106                                               57.1                                                                  \n",
       "\n",
       "     Schools followed ‘tobacco-free school’ guidelines  (%)  \\\n",
       "105                                               85.7        \n",
       "106                                               71.4        \n",
       "\n",
       "     Schools aware of the policy for displaying ‘tobacco-free school’ board  (%)  \n",
       "105                                               91.4                            \n",
       "106                                               71.4                            \n",
       "\n",
       "[2 rows x 59 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat[dat['State/UT']=='West Bengal']\n",
    "#there's no urban in this state for some reason????"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['State/UT', 'Area', 'Ever tobacco users (%)',\n",
       "       'Current tobacco users (%)', 'Ever tobacco smokers (%)',\n",
       "       'Current tobacco smokers (%)', 'Ever cigarette users (%)',\n",
       "       'Current cigarette users (%)', 'Ever bidi users (%) ',\n",
       "       'Current bidi users (%)', 'Ever smokeless tobacco users (%)',\n",
       "       'Current smokeless tobacco users (%)',\n",
       "       'Ever users of  paan masala together with tobacco (%)',\n",
       "       'Never cigarette smokers susceptible to cigarette use in future (%)',\n",
       "       'Median age of initiation of Cigarette (in years)',\n",
       "       'Median age of initiation of Bidi (in years)',\n",
       "       'Median age of initiation of smokeless tobacco (in years)',\n",
       "       'Awareness about e-cigarette (%)', 'Ever e-cigarette use (%)',\n",
       "       'Ever tobacco smokers who quit in last 12 months (%)',\n",
       "       'Current tobacco smokers who tried to quit smoking in the past 12 months (%)',\n",
       "       'Current tobacco smokers who wanted to quit smoking now   (%)',\n",
       "       'Ever  smokeless tobacco users who quit  in last 12 months (%)',\n",
       "       'Current smokeless tobacco users who tried to quit tobacco in the past 12 months   (%)',\n",
       "       'Current  smokeless tobacco users who wanted to quit tobacco now     (%)',\n",
       "       'Exposure to tobacco smoke at home/public place (%)',\n",
       "       'Exposure to tobacco smoke at home   (%)',\n",
       "       'Exposure to tobacco smoke inside any enclosed public  places  (%)',\n",
       "       'Exposure to tobacco smoke at any outdoor public places  (%)',\n",
       "       'Students who saw anyone smoking inside the  school building or outside school property (%)',\n",
       "       'Major source of tobacco product- Cigarette: Store   (%)',\n",
       "       'Major source of tobacco product- Cigarette: Paan shop (%)',\n",
       "       'Major source of tobacco product- Bidi: Store   (%)',\n",
       "       'Major source of tobacco product- Bidi: Paan shop (%)',\n",
       "       'Major source of tobacco product- Smokeless tobacco: Store   (%)',\n",
       "       'Major source of tobacco product- Smokeless tobacco: Paan shop  (%)',\n",
       "       'Current cigarette smokers who bought cigarettes from a store, paan shop, street vendor, or vending machine       (%)',\n",
       "       'Current bidi smokers who bought bidi from a store, paan shop, or street vendor (%)',\n",
       "       'Refused sale of cigarette because of age in past 30 days   (%)',\n",
       "       'Refused sale of bidi because of age in past 30 days   (%)',\n",
       "       'Refused sale of smokeless tobacco because of age in past 30 days    (%)',\n",
       "       'Bought Cigarette as individual sticks in past 30 days    (%)',\n",
       "       'Bought Bidi as individual sticks in past 30 days     (%)',\n",
       "       'Students who noticed anti-tobacco messages anywhere in past 30 days    (%)',\n",
       "       'Students who noticed anti-tobacco messages in mass media in past 30 days    (%)',\n",
       "       'Students who noticed anti-tobacco messages at sporting,  fairs, concerts, community events or social gatherings in past 30 days   (%)',\n",
       "       'Students who noticed health warnings on any tobacco product/cigarette packages in past 30 days       (%)',\n",
       "       'Students who saw tobacco advertisements anywhere in past 30 days  (%)',\n",
       "       'Students who saw anyone using tobacco on mass media in past 30 days  (%)',\n",
       "       'Students who noticed cigarette advertisements/promotions at point of sale in past 30 days (%)',\n",
       "       'Students who were taught in class about harmful effects of tobacco use during past 12 months (%)',\n",
       "       'Students who thought it is difficult to quit once someone starts smoking tobacco (%)',\n",
       "       'Students who thought other people’s tobacco smoking is harmful to them (%)',\n",
       "       'Students who favoured ban on smoking inside enclosed public places (%)',\n",
       "       'Students who favoured ban on smoking at outdoor public places (%)',\n",
       "       'School heads aware of COTPA, 2003  (%)',\n",
       "       'Schools authorized by the state government to collect fine for violation under Section-6 of the COTPA, 2003  (%)',\n",
       "       'Schools followed ‘tobacco-free school’ guidelines  (%)',\n",
       "       'Schools aware of the policy for displaying ‘tobacco-free school’ board  (%)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "lu = dat[dat['Area']=='Urban']['Current cigarette users (%)']\n",
    "z = dat[dat['Area']=='Urban']['State/UT']\n",
    "lr = dat[dat['Area']=='Total']['Current cigarette users (%)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "x = np.arange(len(z))\n",
    "width = 0.3\n",
    "\n",
    "rects1 = ax.bar(x - width/2, lu, width, label='Urban')\n",
    "rects2 = ax.bar(x + width/2, lr, width, label='Total')\n",
    "\n",
    "ax.set_ylabel('% of users')\n",
    "ax.set_ylim(0,70)\n",
    "ax.set_title('Cigarette Usage by Urban/Total')\n",
    "ax.set_xticks(x, z)\n",
    "ax.legend(loc='best', fontsize=8)\n",
    "\n",
    "#ax.bar_label(rects1, padding=3, fontsize=6)\n",
    "#ax.bar_label(rects2, padding=3, fontsize=6)\n",
    "plt.xticks(fontsize=8, rotation=90)\n",
    "plt.grid(axis='y', linestyle='dotted')\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr = dat[dat['Area']=='Urban']['Current tobacco users (%)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "x = np.arange(len(z))\n",
    "width = 0.3\n",
    "\n",
    "rects1 = ax.bar(x - width/2, lu, width, label='Cig')\n",
    "rects2 = ax.bar(x + width/2, lr, width, label='Tob')\n",
    "\n",
    "ax.set_ylabel('% of users')\n",
    "ax.set_ylim(0,65)\n",
    "ax.set_title('Cigarette vs Tobacco Usage in Urban Indian Youth')\n",
    "ax.set_xticks(x, z)\n",
    "ax.legend(loc='best', fontsize=8)\n",
    "\n",
    "#ax.bar_label(rects1, padding=3, fontsize=6)\n",
    "#ax.bar_label(rects2, padding=3, fontsize=6)\n",
    "plt.xticks(fontsize=8, rotation=90)\n",
    "plt.grid(axis='y', linestyle='dotted')\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "lc = dat[dat['Area']=='Urban']['Median age of initiation of Cigarette (in years)']\n",
    "lb = dat[dat['Area']=='Urban']['Median age of initiation of Bidi (in years)']\n",
    "lt = dat[dat['Area']=='Urban']['Median age of initiation of smokeless tobacco (in years)']\n",
    "#needs to be cleaned\n",
    "#might never do it tho :P"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
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