suicide.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "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>country</th>\n",
       "      <th>year</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>suicides_no</th>\n",
       "      <th>population</th>\n",
       "      <th>suicides/100k pop</th>\n",
       "      <th>country-year</th>\n",
       "      <th>HDI for year</th>\n",
       "      <th>gdp_for_year ($)</th>\n",
       "      <th>gdp_per_capita ($)</th>\n",
       "      <th>generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>21</td>\n",
       "      <td>312900</td>\n",
       "      <td>6.71</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>796</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>35-54 years</td>\n",
       "      <td>16</td>\n",
       "      <td>308000</td>\n",
       "      <td>5.19</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>796</td>\n",
       "      <td>Silent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>female</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>14</td>\n",
       "      <td>289700</td>\n",
       "      <td>4.83</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>796</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>75+ years</td>\n",
       "      <td>1</td>\n",
       "      <td>21800</td>\n",
       "      <td>4.59</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>796</td>\n",
       "      <td>G.I. Generation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>25-34 years</td>\n",
       "      <td>9</td>\n",
       "      <td>274300</td>\n",
       "      <td>3.28</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>796</td>\n",
       "      <td>Boomers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country  year     sex          age  suicides_no  population  \\\n",
       "0  Albania  1987    male  15-24 years           21      312900   \n",
       "1  Albania  1987    male  35-54 years           16      308000   \n",
       "2  Albania  1987  female  15-24 years           14      289700   \n",
       "3  Albania  1987    male    75+ years            1       21800   \n",
       "4  Albania  1987    male  25-34 years            9      274300   \n",
       "\n",
       "   suicides/100k pop country-year  HDI for year  gdp_for_year ($)   \\\n",
       "0               6.71  Albania1987           NaN      2,156,624,900   \n",
       "1               5.19  Albania1987           NaN      2,156,624,900   \n",
       "2               4.83  Albania1987           NaN      2,156,624,900   \n",
       "3               4.59  Albania1987           NaN      2,156,624,900   \n",
       "4               3.28  Albania1987           NaN      2,156,624,900   \n",
       "\n",
       "   gdp_per_capita ($)       generation  \n",
       "0                 796     Generation X  \n",
       "1                 796           Silent  \n",
       "2                 796     Generation X  \n",
       "3                 796  G.I. Generation  \n",
       "4                 796          Boomers  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide=pd.read_csv('suicidedataset.csv')\n",
    "suicide.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 27820 entries, 0 to 27819\n",
      "Data columns (total 12 columns):\n",
      "country               27820 non-null object\n",
      "year                  27820 non-null int64\n",
      "sex                   27820 non-null object\n",
      "age                   27820 non-null object\n",
      "suicides_no           27820 non-null int64\n",
      "population            27820 non-null int64\n",
      "suicides/100k pop     27820 non-null float64\n",
      "country-year          27820 non-null object\n",
      "HDI for year          8364 non-null float64\n",
      " gdp_for_year ($)     27820 non-null object\n",
      "gdp_per_capita ($)    27820 non-null int64\n",
      "generation            27820 non-null object\n",
      "dtypes: float64(2), int64(4), object(6)\n",
      "memory usage: 2.5+ MB\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>year</th>\n",
       "      <th>suicides_no</th>\n",
       "      <th>population</th>\n",
       "      <th>suicides/100k pop</th>\n",
       "      <th>HDI for year</th>\n",
       "      <th>gdp_per_capita ($)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>27820.000000</td>\n",
       "      <td>27820.000000</td>\n",
       "      <td>2.782000e+04</td>\n",
       "      <td>27820.000000</td>\n",
       "      <td>8364.000000</td>\n",
       "      <td>27820.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2001.258375</td>\n",
       "      <td>242.574407</td>\n",
       "      <td>1.844794e+06</td>\n",
       "      <td>12.816097</td>\n",
       "      <td>0.776601</td>\n",
       "      <td>16866.464414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.469055</td>\n",
       "      <td>902.047917</td>\n",
       "      <td>3.911779e+06</td>\n",
       "      <td>18.961511</td>\n",
       "      <td>0.093367</td>\n",
       "      <td>18887.576472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1985.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.780000e+02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.483000</td>\n",
       "      <td>251.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1995.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.749850e+04</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.713000</td>\n",
       "      <td>3447.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2002.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>4.301500e+05</td>\n",
       "      <td>5.990000</td>\n",
       "      <td>0.779000</td>\n",
       "      <td>9372.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2008.000000</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>1.486143e+06</td>\n",
       "      <td>16.620000</td>\n",
       "      <td>0.855000</td>\n",
       "      <td>24874.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>22338.000000</td>\n",
       "      <td>4.380521e+07</td>\n",
       "      <td>224.970000</td>\n",
       "      <td>0.944000</td>\n",
       "      <td>126352.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               year   suicides_no    population  suicides/100k pop  \\\n",
       "count  27820.000000  27820.000000  2.782000e+04       27820.000000   \n",
       "mean    2001.258375    242.574407  1.844794e+06          12.816097   \n",
       "std        8.469055    902.047917  3.911779e+06          18.961511   \n",
       "min     1985.000000      0.000000  2.780000e+02           0.000000   \n",
       "25%     1995.000000      3.000000  9.749850e+04           0.920000   \n",
       "50%     2002.000000     25.000000  4.301500e+05           5.990000   \n",
       "75%     2008.000000    131.000000  1.486143e+06          16.620000   \n",
       "max     2016.000000  22338.000000  4.380521e+07         224.970000   \n",
       "\n",
       "       HDI for year  gdp_per_capita ($)  \n",
       "count   8364.000000        27820.000000  \n",
       "mean       0.776601        16866.464414  \n",
       "std        0.093367        18887.576472  \n",
       "min        0.483000          251.000000  \n",
       "25%        0.713000         3447.000000  \n",
       "50%        0.779000         9372.000000  \n",
       "75%        0.855000        24874.000000  \n",
       "max        0.944000       126352.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide.info()\n",
    "suicide.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>country</th>\n",
       "      <th>year</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>suicides_no</th>\n",
       "      <th>population</th>\n",
       "      <th>country-year</th>\n",
       "      <th>gdp_for_year ($)</th>\n",
       "      <th>generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>21</td>\n",
       "      <td>312900</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>35-54 years</td>\n",
       "      <td>16</td>\n",
       "      <td>308000</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Silent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>female</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>14</td>\n",
       "      <td>289700</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>75+ years</td>\n",
       "      <td>1</td>\n",
       "      <td>21800</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>G.I. Generation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>25-34 years</td>\n",
       "      <td>9</td>\n",
       "      <td>274300</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Boomers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country  year     sex          age  suicides_no  population country-year  \\\n",
       "0  Albania  1987    male  15-24 years           21      312900  Albania1987   \n",
       "1  Albania  1987    male  35-54 years           16      308000  Albania1987   \n",
       "2  Albania  1987  female  15-24 years           14      289700  Albania1987   \n",
       "3  Albania  1987    male    75+ years            1       21800  Albania1987   \n",
       "4  Albania  1987    male  25-34 years            9      274300  Albania1987   \n",
       "\n",
       "   gdp_for_year ($)        generation  \n",
       "0      2,156,624,900     Generation X  \n",
       "1      2,156,624,900           Silent  \n",
       "2      2,156,624,900     Generation X  \n",
       "3      2,156,624,900  G.I. Generation  \n",
       "4      2,156,624,900          Boomers  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide.drop(['suicides/100k pop','HDI for year','gdp_per_capita ($)'],axis=1,inplace=True)\n",
    "suicide.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 360 entries, 1426 to 1785\n",
      "Data columns (total 9 columns):\n",
      "country               360 non-null object\n",
      "year                  360 non-null int64\n",
      "sex                   360 non-null object\n",
      "age                   360 non-null object\n",
      "suicides_no           360 non-null int64\n",
      "population            360 non-null int64\n",
      "country-year          360 non-null object\n",
      " gdp_for_year ($)     360 non-null object\n",
      "generation            360 non-null object\n",
      "dtypes: int64(3), object(6)\n",
      "memory usage: 28.1+ KB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2466bde3400>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1done suicide no for australia from 2000 to 2015\n",
    "mask1=suicide['country-year']=='Australia2000'\n",
    "mask2=suicide['country-year']=='Australia2001'\n",
    "mask3=suicide['country-year']=='Australia2002'\n",
    "mask4=suicide['country-year']=='Australia2003'\n",
    "mask5=suicide['country-year']=='Australia2004'\n",
    "mask6=suicide['country-year']=='Australia2005'\n",
    "mask7=suicide['country-year']=='Australia2006'\n",
    "mask8=suicide['country-year']=='Australia2007'\n",
    "mask9=suicide['country-year']=='Australia2008'\n",
    "mask10=suicide['country-year']=='Australia2009'\n",
    "mask11=suicide['country-year']=='Australia2010'\n",
    "mask12=suicide['country-year']=='Australia2011'\n",
    "mask13=suicide['country-year']=='Australia2012'\n",
    "mask14=suicide['country-year']=='Australia2013'\n",
    "mask15=suicide['country-year']=='Australia2014'\n",
    "mask16=suicide['country-year']=='Australia2015'\n",
    "mask18=suicide['country-year']=='Australia1985'\n",
    "mask19=suicide['country-year']=='Australia1986'\n",
    "mask20=suicide['country-year']=='Australia1987'\n",
    "mask21=suicide['country-year']=='Australia1988'\n",
    "mask22=suicide['country-year']=='Australia1989'\n",
    "mask23=suicide['country-year']=='Australia1990'\n",
    "mask24=suicide['country-year']=='Australia1991'\n",
    "mask25=suicide['country-year']=='Australia1992'\n",
    "mask26=suicide['country-year']=='Australia1993'\n",
    "mask27=suicide['country-year']=='Australia1994'\n",
    "mask28=suicide['country-year']=='Australia1995'\n",
    "mask29=suicide['country-year']=='Australia1996'\n",
    "mask30=suicide['country-year']=='Australia1997'\n",
    "mask31=suicide['country-year']=='Australia1998'\n",
    "mask32=suicide['country-year']=='Australia1999'\n",
    "#mask17=suicide['sex']=='male'\n",
    "suicide_australia=suicide[mask1|mask2|mask3|mask4|mask5|mask6|mask7|mask8|mask9|mask10|mask11|mask12|mask13|mask14|mask15|mask16\n",
    "                         |mask18|mask19|mask20|mask21|mask22|mask23|mask24|mask25|mask26|mask27|mask28|mask29|mask30|mask31|mask32]\n",
    "suicide_australia.info()\n",
    "suicide_australia.groupby('age')['suicides_no'].agg('sum').sort_values(ascending=False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2466bde3e10>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2done\n",
    "suicide_australia.groupby('country-year')['suicides_no'].agg('sum').plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2466bc41390>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3done all over the world suicide according to the age grp\n",
    "suicide.groupby('age')['suicides_no'].agg('sum').plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done take age gap and dive it between male and female\n",
    "\n",
    "### Set figure size\n",
    "plt.figure(figsize=(16,7))\n",
    "###Let's plot the barplot\n",
    "bar_age = sns.barplot(x = 'age', y = 'suicides_no', hue = 'sex',data = suicide)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done take sex and dive it between age gaps\n",
    "\n",
    "### Set figure size\n",
    "plt.figure(figsize=(16,7))\n",
    "###Let's plot the barplot\n",
    "bar_age = sns.barplot(x = 'sex', y = 'suicides_no', hue = 'age',data = suicide)"
   ]
  },
  {
   "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>country</th>\n",
       "      <th>year</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>suicides_no</th>\n",
       "      <th>population</th>\n",
       "      <th>country-year</th>\n",
       "      <th>gdp_for_year ($)</th>\n",
       "      <th>generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27815</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>2014</td>\n",
       "      <td>female</td>\n",
       "      <td>35-54 years</td>\n",
       "      <td>107</td>\n",
       "      <td>3620833</td>\n",
       "      <td>Uzbekistan2014</td>\n",
       "      <td>63,067,077,179</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27816</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>2014</td>\n",
       "      <td>female</td>\n",
       "      <td>75+ years</td>\n",
       "      <td>9</td>\n",
       "      <td>348465</td>\n",
       "      <td>Uzbekistan2014</td>\n",
       "      <td>63,067,077,179</td>\n",
       "      <td>Silent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27817</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>2014</td>\n",
       "      <td>male</td>\n",
       "      <td>5-14 years</td>\n",
       "      <td>60</td>\n",
       "      <td>2762158</td>\n",
       "      <td>Uzbekistan2014</td>\n",
       "      <td>63,067,077,179</td>\n",
       "      <td>Generation Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27818</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>2014</td>\n",
       "      <td>female</td>\n",
       "      <td>5-14 years</td>\n",
       "      <td>44</td>\n",
       "      <td>2631600</td>\n",
       "      <td>Uzbekistan2014</td>\n",
       "      <td>63,067,077,179</td>\n",
       "      <td>Generation Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27819</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>2014</td>\n",
       "      <td>female</td>\n",
       "      <td>55-74 years</td>\n",
       "      <td>21</td>\n",
       "      <td>1438935</td>\n",
       "      <td>Uzbekistan2014</td>\n",
       "      <td>63,067,077,179</td>\n",
       "      <td>Boomers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          country  year     sex          age  suicides_no  population  \\\n",
       "27815  Uzbekistan  2014  female  35-54 years          107     3620833   \n",
       "27816  Uzbekistan  2014  female    75+ years            9      348465   \n",
       "27817  Uzbekistan  2014    male   5-14 years           60     2762158   \n",
       "27818  Uzbekistan  2014  female   5-14 years           44     2631600   \n",
       "27819  Uzbekistan  2014  female  55-74 years           21     1438935   \n",
       "\n",
       "         country-year  gdp_for_year ($)     generation  \n",
       "27815  Uzbekistan2014     63,067,077,179  Generation X  \n",
       "27816  Uzbekistan2014     63,067,077,179        Silent  \n",
       "27817  Uzbekistan2014     63,067,077,179  Generation Z  \n",
       "27818  Uzbekistan2014     63,067,077,179  Generation Z  \n",
       "27819  Uzbekistan2014     63,067,077,179       Boomers  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#5 world population growth(according to our data set we do not have data for some major countries like india)\n",
    "#error why dn't know pr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2466cf48eb8>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "suicide.groupby('sex')['population'].agg('sum').sort_values(ascending=False).plot(kind='bar',title='population male vs female')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2466c2566a0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done \n",
    "suicide.groupby('sex')['suicides_no'].agg('sum').sort_values(ascending=False).plot(kind='bar',title='sucide comitted male vs female')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country\n",
       "Russian Federation    1209742\n",
       "United States         1034013\n",
       "Japan                  806902\n",
       "France                 329127\n",
       "Ukraine                319950\n",
       "Germany                291262\n",
       "Republic of Korea      261730\n",
       "Brazil                 226613\n",
       "Poland                 139098\n",
       "United Kingdom         136805\n",
       "Name: suicides_no, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#done since 1985 suicide no\n",
    "suicide.groupby('country')['suicides_no'].agg('sum').sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x246712e7d68>"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAFsCAYAAAAnnXU/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xn8XFV9//HXm7AKsmm0QNjUuKAV0Ci4tAooAlXBukFREFG0gmBtraBWEKWidSsuWJRABARxKxGhFBHcWRIIwQD+iIASoRAMmyIo4f3745whk+/Md8l275B5Px+PeczMudtnvjPf+7n3nHPPlW0iIiK6rdF2ABERMXiSHCIiokeSQ0RE9EhyiIiIHkkOERHRI8khIiJ6JDnEwJJ0vqQDJzDfPEkvHWXaSyUtWOnBLSNJN0t6WdtxRExUksOAW96diqR1JJ0s6TeS7pN0laQ9R8yzm6TrJd0v6WJJW3dNe4Okn9dpl/RZ/w6SZtfpsyXtsFwfcAy297Q9YwLzPdN2T4yro1Wd7Abhe18Rki6R9La241gdJDmsvtYEbgFeAmwE/BtwtqRtACQ9HvhOLd8UmAV8o2v5RcDngONHrljS2sA5wOnAJsAM4JxaHo9uq/X3LmnNtmN41LCdxwA/gJuBl9XXbwF+CnwKuAu4CdhzGdY1F3htfX0I8POuaesDfwKePmKZtwGXjCjbHfgdoK6y3wJ7jLLdtwA3AvfVmPev5ccAp3fNtw1gYM36/hLgbV3T3w5cV9dzLfCcPn+j9YBT69/nWuB9wIKudWwOfBtYWGM5fIy/16nAF4Hv121eBjy5a/oLgSuAe+rzC8f5Ho+qMd0FnAKsW6f9EnhV17xrAXcCO4xYR+c7ehj4Q31sDqxD2aHfWh+fA9apy7wUWAB8oK7z5s7ff5zfysr43jetn/PW+pn/e8R3OZ+SjGYCm/f7DYz8HTDG/wBwHLAYeKD+bb5Qyw0cCtxQ5/8i8OkRsX4PeE/b/++D9MiZw6PPTsCvgMcDnwROlqTxFpL0ROCpwLxa9Ezg6s50238Efl3Lx/NMYK7rf1U1t9+yktYHTqD8Az+WskOdM4FtjFzP6ynJ5ABgQ+DVwO/7zHo08OT6eAXwSJuFpDUoO4GrgS2A3YD3SHrFGJveD/gI5Uh5PmUHhKRNKUnjBOBxwGeA70t63Bjr2r/G9GTKd/GhWv414E1d8+0F3GZ7qb9T/Y72BG61vUF93Ap8ENgZ2AHYHnh+17oB/orye9mi/j1OkvS0MeIczYS/9+o04DF1+hOAzwJI2hX4OPAGYDPgN8BZyxBH3/8B2x8EfgIcVv82h3Uts09dbjvKGc9+9ffQOYveDThzGWJY7SU5PPr8xvZXbC+m/Mg3A5441gKS1gLOAGbYvr4Wb0A54u12D/DYCcSwrMs+DDxL0nq2b7M9b5T5xvI24JO2r3Ax3/Zv+sz3BuA424ts30LZeXc8D5hs+1jbf7Z9I/AVYN8xtvsd25fbfojyN+zUsf8dcIPt02w/ZPtM4HrgVWOs6wu2b7G9iJJk9qvlpwN7Sdqwvn8zZcc6UfsDx9q+w/ZCSjJ784h5/s32g7Z/RElqb1iG9XdM+HuXtBklkb3T9l22/1K33Yl3uu0rbT9IOaN6QafKcwKW+X8A+Hj9TfzJ9uU17t3qtH0pZ0m3T3D7QyHJ4dHn/zovbN9fX24w2sz16Og04M9A95HUHyhH4N02pFSfjGfCy9aj3TcC7wRuk/R9SU+fwDZG2pJyZjOezSltLR3dCWRrYHNJd3celOqWsXYs/9f1+n6W/K03H7Huzra2GGNdI+PaHKAe/f8MeK2kjSk71TPGWM9II2N5ZN3VXfV7GG36RC3Lb2ZLYJHtu/pMWype23+gnAWO9bfrtkz/A9UtI97PYMnZ2ptYtmQ8FJIcVmO1uulkys7vtbb/0jV5HqUKojPv+pTqjokc1c8Dnj2iOuvZoy1r+wLbL6cc4V1POVoH+COl2qHjr8bY5i01vvHcRtkxdWw1Yh032d646/FY23tNYL0j3UpJNt22otTJj2ZkXLd2ve/srF4P/ML2aOvpN4zyyFhGrnuT+v2ONn2iluV7vwXYtCa7MeOtsT2O8rfrJLGJ/i5GGm2Y6ZHlpwN7S9oeeAbw38uwjaGQ5LB6O5Hyw3+V7T+NmPZdSlXPayWtC3yYUp98PYCkSbV8TWANSevW6ikoDYSLgcNrl9nOGckPRwYg6YmSXl13AA9Sjj4X18lzgL+VtJWkjSjVC6P5KvAvkp6r4indXW+7nA0cJWkTSVOAd3dNuxy4V9L7Ja1XP+OzJD1vjO2O5jzgqZL+QdKakt5Iqc8+d4xlDpU0pbZXfICle4f9N/Ac4AhKG8RobgceV/9eHWcCH5I0udaff5iy8+v2EUlrS/ob4JXAN/utfGV977ZvA84HvlS/i7Uk/W2d/HXgoNotdh3g34HLbN9cq8V+B7ypxvJWJnZQ0HE78KTxZrK9gNKJ4DTg233+P6LtFvE8xn7Qp7fSiOkGntJnua3rtE7Pjc5j/655XkY5kv8T5R9/m65pb6nLdz9O7Zq+IzC7LnslsOMo8W8G/IhSx3t33c52XdO/WMvnU3qwjNVb6Z2Uhsg/UHr47Njnb/QYys71bkbvrXQmpWriLuDSzrJ9Yj8V+FjX+5eOWNeL69/gnvr84nG+x05vpbspZwqPGTHPVylHzhuM85uYTqmGubt+nnUpbSu31ccJLOkJ9VJKb6UPUnor/RZ48xjrXinfe5130/o5b69/6++M+C5/TemtdC4wpWvanpReRXcDn66/n6V6K432PwC8APh/dXsnjPM/8qY6bZe2/88H8aH6R4qIlkn6MPBU228ad+aJr/OllO7CU1bWOlcX9UzmdMpB0cNtxzNockFIxACoVU0H09vLKFaBWlV2BPDVJIb+0uYQ0TJJb6c04J5v+8dtx7O6k/QMSpXVZpQLBqOPVCtFRESPCZ851J4DV0k6t77fVtJlkm6Q9I3O+Cq1F8M3JM2v07fpWsdRtfxX3VelStqjls2XdOTK+3gREbE8lqXN4QjKuDadi2A+AXzW9lmSvkypLz2xPt9l+ymS9q3zvVHSdpQrEZ9J6WHxA0lPrev6IvBySq+KKyTNtH3tWME8/vGP9zbbbLMM4UdExOzZs++0PXm8+SaUHGp/8b+jXPL/3noRzK7AP9RZZlDGvTkR2Lu+BvgW8IU6/97AWS6Xy98kaT5lDBiA+S5DGSDprDrvmMlhm222YdasWRMJPyIiKkn9hp3pMdFqpc8B/0oZIwfK1Yx3u4w3A+WIv3Pp+xbUS9Xr9Hvq/I+Uj1hmtPIekg6RNEvSrIULF04w9IiIWFbjJgdJrwTusD27u7jPrB5n2rKW9xbaJ9meZnva5MnjnhVFRMRymki10ouAV0vai3Il5oaUM4mNJa1Zzw6msGSslgWUMWQWqNxYYyPKVZCd8o7uZUYrj4iIFox75mD7KNtTbG9DaVD+oe39gYuB19XZDqTcIQrKjTs6Y+i/rs7vWr5v7c20LTCVMtbNFcDU2vtp7bqNmSvl00VExHJZkSuk3w+cJeljwFWU0T+pz6fVBudF1LHybc+TdDalofkh4FCX8dipA3hdAEyijPO+POP9R0TESvKovQhu2rRpTm+liIhlI2m27WnjzZfhMyIiokeSQ0RE9EhyiIiIHqvtkN3bHPn9FV7Hzcf/3UqIJCLi0SdnDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqLHuMlB0rqSLpd0taR5kj5Sy0+VdJOkOfWxQy2XpBMkzZc0V9JzutZ1oKQb6uPArvLnSrqmLnOCJK2KDxsRERMzkfs5PAjsavsPktYCfirp/Drtfba/NWL+PYGp9bETcCKwk6RNgaOBaYCB2ZJm2r6rznMIcClwHrAHcD4REdGKcc8cXPyhvl2rPjzGInsDX6vLXQpsLGkz4BXAhbYX1YRwIbBHnbah7V/YNvA1YJ8V+EwREbGCJtTmIGmSpDnAHZQd/GV10nG16uizktapZVsAt3QtvqCWjVW+oE95vzgOkTRL0qyFCxdOJPSIiFgOE0oOthfb3gGYAjxf0rOAo4CnA88DNgXeX2fv117g5SjvF8dJtqfZnjZ58uSJhB4REcthmXor2b4buATYw/ZtteroQeAU4Pl1tgXAll2LTQFuHad8Sp/yiIhoyUR6K02WtHF9vR7wMuD62lZA7Vm0D/DLushM4IDaa2ln4B7btwEXALtL2kTSJsDuwAV12n2Sdq7rOgA4Z+V+zIiIWBYT6a20GTBD0iRKMjnb9rmSfihpMqVaaA7wzjr/ecBewHzgfuAgANuLJH0UuKLOd6ztRfX1PwKnAutReimlp1JERIvGTQ625wI79infdZT5DRw6yrTpwPQ+5bOAZ40XS0RENCNXSEdERI8kh4iI6JHkEBERPSbSIB0r4piNVnD5e1ZOHBERyyBnDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqLHuMlB0rqSLpd0taR5kj5Sy7eVdJmkGyR9Q9LatXyd+n5+nb5N17qOquW/kvSKrvI9atl8SUeu/I8ZERHLYiJnDg8Cu9reHtgB2EPSzsAngM/angrcBRxc5z8YuMv2U4DP1vmQtB2wL/BMYA/gS5ImSZoEfBHYE9gO2K/OGxERLRk3Obj4Q327Vn0Y2BX4Vi2fAexTX+9d31On7yZJtfws2w/avgmYDzy/PubbvtH2n4Gz6rwREdGSCbU51CP8OcAdwIXAr4G7bT9UZ1kAbFFfbwHcAlCn3wM8rrt8xDKjlfeL4xBJsyTNWrhw4URCj4iI5TCh5GB7se0dgCmUI/1n9JutPmuUacta3i+Ok2xPsz1t8uTJ4wceERHLZZl6K9m+G7gE2BnYWFLnHtRTgFvr6wXAlgB1+kbAou7yEcuMVh4RES1Zc7wZJE0G/mL7bknrAS+jNDJfDLyO0kZwIHBOXWRmff+LOv2Hti1pJvB1SZ8BNgemApdTzhymStoW+B2l0fofVt5HjL+e8dcrvI5rDrxmJUQSEY8W4yYHYDNgRu1VtAZwtu1zJV0LnCXpY8BVwMl1/pOB0yTNp5wx7Atge56ks4FrgYeAQ20vBpB0GHABMAmYbnveSvuEERGxzMZNDrbnAjv2Kb+R0v4wsvwB4PWjrOs44Lg+5ecB500g3oiIaECukI6IiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0WPc5CBpS0kXS7pO0jxJR9TyYyT9TtKc+tira5mjJM2X9CtJr+gq36OWzZd0ZFf5tpIuk3SDpG9IWntlf9CIiJi4iZw5PAT8s+1nADsDh0rark77rO0d6uM8gDptX+CZwB7AlyRNkjQJ+CKwJ7AdsF/Xej5R1zUVuAs4eCV9voiIWA7jJgfbt9m+sr6+D7gO2GKMRfYGzrL9oO2bgPnA8+tjvu0bbf8ZOAvYW5KAXYFv1eVnAPss7weKiIgVt0xtDpK2AXYELqtFh0maK2m6pE1q2RbALV2LLahlo5U/Drjb9kMjyvtt/xBJsyTNWrhw4bKEHhERy2DCyUHSBsC3gffYvhc4EXgysANwG/Dpzqx9FvdylPcW2ifZnmZ72uTJkycaekRELKM1JzKTpLUoieEM298BsH171/SvAOfWtwuALbsWnwLcWl/3K78T2FjSmvXsoXv+iIhowUR6Kwk4GbjO9me6yjfrmu01wC/r65nAvpLWkbQtMBW4HLgCmFp7Jq1NabSeadvAxcDr6vIHAues2MeKiIgVMZEzhxcBbwaukTSnln2A0ttoB0oV0M3AOwBsz5N0NnAtpafTobYXA0g6DLgAmARMtz2vru/9wFmSPgZcRUlGERHRknGTg+2f0r9d4LwxljkOOK5P+Xn9lrN9I6U3U0REDIBcIR0RET2SHCIiokeSQ0RE9EhyiIiIHkkOERHRI8khIiJ6JDlERESPJIeIiOiR5BARET2SHCIiokeSQ0RE9EhyiIiIHkkOERHRI8khIiJ6JDlERESPJIeIiOiR5BARET2SHCIiose4yUHSlpIulnSdpHmSjqjlm0q6UNIN9XmTWi5JJ0iaL2mupOd0revAOv8Nkg7sKn+upGvqMidI6ndb0oiIaMhEzhweAv7Z9jOAnYFDJW0HHAlcZHsqcFF9D7AnMLU+DgFOhJJMgKOBnSj3iz66k1DqPId0LbfHin+0iIhYXuMmB9u32b6yvr4PuA7YAtgbmFFnmwHsU1/vDXzNxaXAxpI2A14BXGh7ke27gAuBPeq0DW3/wraBr3WtKyIiWrBMbQ6StgF2BC4Dnmj7NigJBHhCnW0L4JauxRbUsrHKF/Qp77f9QyTNkjRr4cKFyxJ6REQsgwknB0kbAN8G3mP73rFm7VPm5SjvLbRPsj3N9rTJkyePF3JERCynCSUHSWtREsMZtr9Ti2+vVULU5ztq+QJgy67FpwC3jlM+pU95RES0ZCK9lQScDFxn+zNdk2YCnR5HBwLndJUfUHst7QzcU6udLgB2l7RJbYjeHbigTrtP0s51Wwd0rSsiIlqw5gTmeRHwZuAaSXNq2QeA44GzJR0M/BZ4fZ12HrAXMB+4HzgIwPYiSR8FrqjzHWt7UX39j8CpwHrA+fUREREtGTc52P4p/dsFAHbrM7+BQ0dZ13Rgep/yWcCzxoslIiKakSukIyKiR5JDRET0SHKIiIgeSQ4REdEjySEiInokOURERI8kh4iI6JHkEBERPZIcIiKiR5JDRET0SHKIiIgeSQ4REdEjySEiInokOURERI8kh4iI6JHkEBERPZIcIiKiR5JDRET0GPc2oZKmA68E7rD9rFp2DPB2YGGd7QO2z6vTjgIOBhYDh9u+oJbvAfwnMAn4qu3ja/m2wFnApsCVwJtt/3llfcAYHNc9/RkrtPwzrr9uJUUSEeOZyJnDqcAefco/a3uH+ugkhu2AfYFn1mW+JGmSpEnAF4E9ge2A/eq8AJ+o65oK3EVJLBER0aJxk4PtHwOLJri+vYGzbD9o+yZgPvD8+phv+8Z6VnAWsLckAbsC36rLzwD2WcbPEBERK9mKtDkcJmmupOmSNqllWwC3dM2zoJaNVv444G7bD40o70vSIZJmSZq1cOHC0WaLiIgVtLzJ4UTgycAOwG3Ap2u5+szr5Sjvy/ZJtqfZnjZ58uRlizgiIiZs3Abpfmzf3nkt6SvAufXtAmDLrlmnALfW1/3K7wQ2lrRmPXvonj8iIlqyXGcOkjbrevsa4Jf19UxgX0nr1F5IU4HLgSuAqZK2lbQ2pdF6pm0DFwOvq8sfCJyzPDFFRMTKM5GurGcCLwUeL2kBcDTwUkk7UKqAbgbeAWB7nqSzgWuBh4BDbS+u6zkMuIDSlXW67Xl1E+8HzpL0MeAq4OSV9ukiImK5jJscbO/Xp3jUHbjt44Dj+pSfB5zXp/xGSm+miIgYELlCOiIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREj3GTg6Tpku6Q9Muusk0lXSjphvq8SS2XpBMkzZc0V9JzupY5sM5/g6QDu8qfK+mauswJkrSyP2RERCybce8hDZwKfAH4WlfZkcBFto+XdGR9/35gT2BqfewEnAjsJGlT4GhgGmBgtqSZtu+q8xwCXEq5x/QewPkr/tEien3xnT9c4XUc+uVdV0IkEYNt3DMH2z8GFo0o3huYUV/PAPbpKv+ai0uBjSVtBrwCuND2opoQLgT2qNM2tP0L26YkoH2IiIhWTeTMoZ8n2r4NwPZtkp5Qy7cAbumab0EtG6t8QZ/yviQdQjnLYKuttlrO0CPa9ek3vnKF1/HP3zh3JUQSMbqV3SDdr73Ay1Hel+2TbE+zPW3y5MnLGWJERIxneZPD7bVKiPp8Ry1fAGzZNd8U4NZxyqf0KY+IiBYtb7XSTOBA4Pj6fE5X+WGSzqI0SN9Tq50uAP6906sJ2B04yvYiSfdJ2hm4DDgA+PxyxhQRy2DBkT9Z4XVMOf5vVkIkMYjGTQ6SzgReCjxe0gJKr6PjgbMlHQz8Fnh9nf08YC9gPnA/cBBATQIfBa6o8x1ru9PI/Y+UHlHrUXoppadSRETLxk0OtvcbZdJufeY1cOgo65kOTO9TPgt41nhxRMTq55hjjhmIdUSvXCEdERE9khwiIqJHkkNERPRIcoiIiB5JDhER0SPJISIieiQ5REREjySHiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB5JDhER0WN57+cQEbHauOiHT17hdey2669XQiSDI2cOERHRI8khIiJ6JDlERESPJIeIiOixQslB0s2SrpE0R9KsWrappAsl3VCfN6nlknSCpPmS5kp6Ttd6Dqzz3yDpwBX7SBERsaJWxpnDLrZ3sD2tvj8SuMj2VOCi+h5gT2BqfRwCnAglmQBHAzsBzweO7iSUiIhox6qoVtobmFFfzwD26Sr/motLgY0lbQa8ArjQ9iLbdwEXAnusgrgiImKCVjQ5GPhfSbMlHVLLnmj7NoD6/IRavgVwS9eyC2rZaOU9JB0iaZakWQsXLlzB0CMiYjQrehHci2zfKukJwIWSrh9jXvUp8xjlvYX2ScBJANOmTes7T0TEo9FfXTxnhdfxf7vssBIiKVbozMH2rfX5DuC7lDaD22t1EfX5jjr7AmDLrsWnALeOUR4RES1Z7uQgaX1Jj+28BnYHfgnMBDo9jg4EzqmvZwIH1F5LOwP31GqnC4DdJW1SG6J3r2UREdGSFalWeiLwXUmd9Xzd9v9IugI4W9LBwG+B19f5zwP2AuYD9wMHAdheJOmjwBV1vmNtL1qBuCIiYgUtd3KwfSOwfZ/y3wO79Sk3cOgo65oOTF/eWCIiYuXKFdIREdEjySEiInokOURERI8kh4iI6JHkEBERPZIcIiKiR5JDRET0SHKIiIgeSQ4REdEjySEiInokOURERI8kh4iI6JHkEBERPZIcIiKiR5JDRET0SHKIiIgeSQ4REdEjySEiInoMTHKQtIekX0maL+nItuOJiBhmA5EcJE0CvgjsCWwH7Cdpu3ajiogYXgORHIDnA/Nt32j7z8BZwN4txxQRMbRku+0YkPQ6YA/bb6vv3wzsZPuwEfMdAhxS3z4N+NUKbPbxwJ0rsPzKMghxDEIMMBhxDEIMMBhxDEIMMBhxDEIMsHLi2Nr25PFmWnMFN7KyqE9ZT9ayfRJw0krZoDTL9rSVsa5HexyDEMOgxDEIMQxKHIMQw6DEMQgxNB3HoFQrLQC27Ho/Bbi1pVgiIobeoCSHK4CpkraVtDawLzCz5ZgiIobWQFQr2X5I0mHABcAkYLrteat4syulemolGIQ4BiEGGIw4BiEGGIw4BiEGGIw4BiEGaDCOgWiQjoiIwTIo1UoRETFAkhwiIqLHUCYHSWtI2rDtOCIiBtXQJAdJX5e0oaT1gWuBX0l6X0uxTJK0uaStOo+Gt/8iSRdK+n+SbpR0k6Qbm4whYjyS1pP0tLbjGFZD0yAtaY7tHSTtDzwXeD8w2/azG47j3cDRwO3Aw7XYTcYh6Xrgn4DZwOJOue3fNxVDjWNn4PPAM4C1KT3V/mi78bM6SS8Gpto+RdJkYAPbNzW4/U8BpzTQS2+07W861nTbi5qKBUDSq4BPAWvb3lbSDsCxtl/dwLavoc9FuB1N7zMAJG0P/E19+xPbV6/qbQ5EV9aGrCVpLWAf4Au2/yKpjcx4BPC0pnfEI9xj+/wWt9/xBco1Ld8EpgEHAE9pOghJR9ftPw04BVgLOB14UYNhXA+cJGnNGsOZtu9pcPuzKTvE0UYreFKDsQAcQxlz7RIA23MkbdPQtl9Znw+tz6fV5/2B+xuK4RGSjgDeDnynFp0u6STbn1+V2x2m5PBfwM3A1cCPJW0N3NtCHLcATf7T93OxpP+g/Nge7BTavrLpQGzPlzTJ9mLgFEk/bzoG4DXAjsCVNaZbJT22yQBsfxX4aq1GOQiYK+lnwFdsX9zA9rdd1dtYRg/Zvkfql6tWLdu/gVL9arv7AOHI+p0c23BIB1PGmvtjjesTwC8oZ92rzNAkB9snACd0Ff1G0i4thHIjcImk77P0jvkzDcawU33uHqPFwK4NxgBwf70ifo6kTwK3Aes3HAPAn227cyZZ26UaV4euf3p93Ek5kHmvpHfY3ncVb/vptq+X9Jx+01s4cPilpH8AJkmaChwONH3gsL6kF9v+KYCkF9LO71N0Vf/W16s8aw5NcpD0RODfgc1t71nvF/EC4OSGQ/ltfaxdH42z3UZS7OfNlE4Rh1HaQLYEXttCHGdL+i9gY0lvB94KfKXJACR9Bng1cBHw77Yvr5M+IWlFRh+eqPdSRjz+dJ9pbRw4vBv4IOUA6kzK6AkfbTiGg4Hpkjaq7++m/DaadgpwmaTv1vf70MB+a5gapM+n/JE/aHv7Wrd7le2/bimex1Iaov/Q0vb/DngmsG6nzHbTp8tIWg/YynYTO8Cx4ng5sDvliOwC2xc2vP23AmfZ7qnTlrRRw+0P0aV2e1eb30E9o3sx5ff5Y9tXrfJtDlFyuML28yRdZXvHWjbH9g4Nx/EsSgNXp3fIncABTfZSkfRl4DHALsBXgdcBl9s+uKkYahyt9UgZEce2wG22H6jv1wOeaPvmhuPYAtiarjN62z9uOIZfA/9h+8tdZefafuUYi62KOJ4K/AuwDUv/PRo7g5G0DuVMdmQMjR5E1V5982zfV98/FtjO9mWrcrtDU60E/FHS46hd1OofvI0jgZOA93YaGSW9lFKF8cIGY3ih7WdLmmv7I5I+zZKeEE06hvZ6pHT7Jkv//RfwyxvIAAAV4UlEQVTXsuc1FYCk4yk9t65lSf2ygUaTA/AXYBdJOwHvqHdm3KLhGKD8/b9MOXhZPM68q8o5lH3EbLraB1twItDdFvTHPmUr3TAlh/dShgF/cu1xMBl4fQtxrN/d+8T2JS00gP6pPt8vaXPg90AbvVVa65Eywpp1JwiA7T/XhvImvYbSxbnNnRDA/bbfKOlfgZ9IegNj9PlfhR6yfWIL2+02xfYeLccApYbnke/A9sO1WnyVGqbkMA94CaUvuyi3GG3jCvEbJf0bS/pOvwlo7GKr6lxJGwP/Qem+aRpugK0GoUcKwEJJr7Y9E0DS3jR/S8gbKddXtJ0cBGD7k5JmUxqCx7xAbhX5nqR3Ad9l6V59TV6M93NJf237mga32c+Nkg6nnC0AvIvye1mlhqnN4UrbzxmvrIE4NgE+QlfjEnCM7buajKMrnnWAddtobJP0GEqPlN1r0QXAxzp1/w3G8WTgDGBzyndyC6UdaH6DMXwb2J7SW6l7Z3h4UzHUOF5l+3td77cC3tJCPXu/AybbbuxiPEnXUi7KvInynYiGRzOocTyB0g1/V8qB3EXAe2zfsUq3u7onB0l/RakzPR34B5b0D94Q+LLtp7cVW1skrUs5+ngx5cf2U+DEJnfKtU//8bZbGd+qH0kbUP4n7mth2wf2K7c9o4VYNgGmsnRPtqbbPlpXL5Tt0blIbnU3DMnhQOAtlAu+ZnVNug841XYjDbGSPmf7PZK+R5863CZ76Eg6m/L5T69F+wGb2G60DUbSD5vsfTJGHAPRK2UQSHobZYiXKcAcYGfgF019T5J2tf1DSX/fb3pT/68jYnoCSyfK3za03X+t1Xufp/8+Y5WeVa72bQ71yGuGpNfa/naLoXTaGD7VYgwdT7O9fdf7iyWt8oG8+rhK0kxKz5Q/dgpb2AG03iultrl8HNiOpXdETY9pdASll9altneR9HRKNWhTXgL8EHhVn2mmwV51kl5NuShwc+AOSjfj6yjXBzXhuvo8a8y5VpHVPjl02P52mxd+2Z5dX+5g+z+7p6kMrPWjJuKorpK0s+1L6/Z3An7W4PY7NqX0lOo+Km10B1ANQq+UUyij9X6Wcv3JQTQwREIfD9h+QBKS1qlDajQ2bLbto+vzQU1tcwwfpZw5/cD2jnW4nf2a2nhX2883Rlb5Snr8qt7+0CSH0S78aiGUA4H/HFH2lj5lq9JOwAGSOqfHWwHXqQ5V3FSD24DsAGAweqWsZ/siSap12sdI+gklYTRpQe3J9t/AhZLuAm5tOAZgIK7i/4vt36vcHGwN2xerDHrXtMslHdJ1MPdaylnmU1flRocmOdDyhV+S9qM0iG9bq1I6Hks5em5S20fJAEiaQhlZ8kUsaRg/wvaChkN5MfCW2kOmrV4pD0haA7hB0mHA74AnNLh9AGy/pr48RtLFwEbA/zQdx4AczN1dOyn8GDhD0h3AQw3HAGWo8OmSLqFUcT2OBsa6Wu0bpDskXWZ7J0mXAn9P2SH/0vbUhra/NeVCs48DR3ZNug+Ya7vxH11bDW1d278Q+DpLX/Oxv+2XNxxH671SJD2PUse8MaU6YyPgk52jxYZiWIPyW3xWU9scI5a5XQdzz6476e/Y3n3chVdeDOsDD1AOFvanfCdnuIV7sUjah/J/ch/wt010sx6mM4d+F359tamN1x3NbygjwbZqABraOibbPqXr/amS3tNwDN3j9y+VLBuO4Yr68g+U9oY2YnhY0tWStmr6QKGPTh17a1fxu94/oWq8S3GHpJOBJwPPplQlfU/SF2x/cVVud5iSwyfr0ATflnQuZSfQ6MVWMDC3xmy1oa3LnZLeRBmSmRpDG0dlrSdLSdMoFwSOHHiv6VtSbgbMk3Q5S/cga3QwRMoOsJWr+CXdx9JdR8WSu+S54f9VgF8Cb6tDaNxU9yGr/P4vw1StNChXSM+iz60xbX+wyRhsT6vdV3esR4yX235+UzHUOLai3Cr0BZR/vp8Dh7dQvXU1pQ53qWRp+5AGY/gV8D7gGpbcW7zxC64kvaRfue3GetPV6q2dbf+8vm/tKv5BoRaGtl/tzxy6rpBeT9KOLH2F9GPaiMnt3xqz09D2E1poaJM0xfaCmgRePWLaqyg3Q2rSIPRKWdgZ26lN3Umgdpf8vRs+gqwHK5+mVsHWM/62rj/ZHvib+vbHtue2EMMjQ9tTOrQ0MrT9ap8cgFdQuopOoVQddJLDfcAHWohnEG6N+WpKldoRlEbgDWn2QqeLJL3CI+6XIOkg4EPA9/outeoMQq+UoyV9ld6xlZq6gn9n4HhgEaXa8TTg8cAakg6w3XSPpf+tXTa/03Ry6qjXH72dJb0az5B0ku1Veu/mPo6hd2j7Vd7+MkzVSm1fId2JY2vgdspRwD9RekB8qYneB33qUmFJsnwA+DXlTnkXreI49qJc17GX7Rtq2VGUrr57Nt2VtfZK+RNllN5WeqVIOp1y7+h5LKlWsu1GbktZqzs/QPnsJ1G+h0vrFdJnut4gqyn1t7o+JUl3egw1Wt8vaS7wgk7DdP2d/KLpdqCunpbdNyqbu6rjWO3PHOop2dxOYpD0Yco4Or+h9KlvbLhslcHmjrP9JsoPvsmjdWw/drRpNbZnUUYnXaVdGW2fJ+lB4PzaRe9tlCEb/tYNj05bP/c5tl9G2Sm31Stle7d0y9pqTdv/CyDp2E4X2nqFdOPB9PutqvlAxNI3GlpMO1ettzK0fRv3M2jaccBCAEmvpFSjvJVy458vj7HcSlfbGCar+RvJjMv2YttXU3pSNbG9iyjVfZcATwJ2azox1DgWU6r6Nhp35lXrUknbtbj9h7te/2nEtMarFyQdO+L9GiwZKLIppwCXSTpG0jHApcDJDccA8G5Kz7kHKT377gVWeZfv1b5aSdLVroPMSZoO/Mr2J+r7Nnor/Rfl9n4zWbqr4CrvmjYouqq3BKxDuTVl56is8a6CKqPU7gxcyNLfSWP3UpB0HaUveytXaUtaTPnsAtYD7u9MovQUWquJOLriOZXyv/rx2lvpm8CVto9pOI7n0HXvFdtXNbn9Nq321UqUs9ENKD/23YAvdU1r44KnW+tjDcrQGUNnrOqtlny/PtrU6pAmtie1uf0+DqI0AB9FGULjfNufbWLDKvc7eSflRj/XUNoE2xjBYMzea6u6t9IwnDm8ldLQdi9wh+vom7Vb66ds79ZSXOuPuAIzGjYgVwIP1LAVbatH6h1rAf9FGTH4ZADbVzYQwzcoZ7M/AfYEbrbd+JX7khZS7kp4JnAZI9o7VvW1J6t9cgCQtAVlELOrbT9cyzYD1mrhgqsXUH7oG9jeqvajfoftdzUZRyxdrSjp27Zf22IsZwBHDUKyapPKYH8jr07usBu46ZCkazqdAyStCVzedPVz3fYk4OWUkQOeTTm7PdP2vCa2PwzVStj+HWWUy+6y21oK53OUay9m1jiulvS3LcXSCpX7BLRyUdMI3Tuepm+qM9KgDFvRtnNHvDelQ8lPG+xZ+JdHNm4/1EZvrbrtxZQRcf+ntrvsB1xSe5Ot8o4jQ5EcBo3tW0b84BaPNu9q6hfAcySdZvvNLcbhUV63odFuzQNsgz5lWwMflHSM7bMaiGF7SffW16KMrnAv7VxrsQ7wd5TEsA1wAg3daiDJoXm3SHoh4Nql9XCW3A5wWKytcm/vF6rPvYKbuiqYJTuB7h0AtLATsP2jeoHkVNs/kPQYyqCMQ8V23yQpaVPgB8AqTw6D0jgvaQblmqPzgY/Y/mWj21/d2xzqj2pUthc1FQs8Ml7NfwIvo+yE/pdyMV7jo5G2RdKLKVciv4FavdalsauCB4mktwOHAJvafnK92OnLbXWYGETdVwgPA0kPs6SKsWeU2FV98DIMyeEmlvSp3wq4q77eGPit7UbHiI8lJB1su42LigaOpDmU8XMu6xoi4ZGG0WEnaVfgQ000SEex2lcrdXb+KrcdnGn7vPp+T8rReyMkfZ4x6rWbvOBqgJwm6XCg0yD/I8rR8l/GWGZ19aDtP3faomovmdX7yK0P1fuYjyjelHJt0AHNRzS8Vvvk0OV5tt/ZeWP7fEkfbXD7s+rzi4DtgG/U968HZjcYxyD5EqUve+fCxDcDJ1LGWho2P5L0AUrbx8uBd9H86LSD4JUj3psybHiuCWrYal+t1CHpAspFLadTfnBvogz09oqG47gY2L1zdCxpLeB/be/SZByDoHtok7HKhkG9EO5goHOP5AtsN3Yb24iRhmHgvY79gMnAd+tjMu3cGnNzlh42Y4NaNowWS3py542kJzFk3Xol7S3pUNsP2/4KpdvmNOADkl7XcngxxIamWqn2SjpC0ga2/9BiKMcDV9UzCICXUG7mMYzeB1ws6UZKJ4GtKWPqDJN/pdw2tmNt4LmUg4ZTgG+1EVTEMFUrvRD4KgMwbIXKrUt3qm8vs/1/TccwKOpFPk+jJIfrB+TK6cZIusL287ref8H2YfX1pbZ3bi+6GGbDVK30WcqwFb+HMmwFS3rJNKbesORllJu7nEO5IOz5TccxKGw/aHuu7auHLTFUm3S/6SSGanLDsUQ8YpiSA7ZvGVHURv32lyg3Tu+0d9wHfLGFOGIwXFYvgFuKpHcAl7cQTwQwRG0ODM6wFTvZfo6kqwBs3zWId4aLxvwT8N/1NpCd4aifS7kJ0j6tRRVDb5jOHN4JHApsASwAdqD0JW/aX+pQvAaQNJmlb9E4NCS9pvv2nJI2Vrmn9NCwfYftFwIfBW6uj2Ntv8D27W3GFsNtmBqkX2T7Z+OVNRDH/sAbKbcKnQG8jjIswDebjGMQSJpje4cRZUM1fk7EoBqm5NBzv+g27iFdt/t0yi1LBVxke9hGZQVA0tyR90jOeEIRg2G1b3Ood157ITBZ0nu7Jm1Ig0MiS/r7rqGob7edRmiYJekzlAZ5A+9meIcSiRgow9DmsDblgqI1KVcmdx73Uqp0mvKhrtcXNbjdQfZu4M+Ucaa+CTxAaReKiJYNU7XS1rZ/0+L2H6lLT716RAy6YahW+pzt9wBfkNSTCRu8R+96knaknK2tW18/cq9Q21eOuuRqpvOdSPoefYalHsL7JkcMnNX+zEHSc23PlvSSftNt/6ihOC4eY7KH6SYmg/KdRMToVvvkEBERy261r1bqkPQiyuinW1M+d+c+rE9qM65hNMrdvmDJd/LsPtMiokFDc+Yg6XrKUAWz6RpTyfbvWwtqSEnaeqzpbXYciIhimJLDZbZ3Gn/OaFIdvvz5lDOJK4Z5+PKIQTJMyeF4ykVv3wEeGRq6jV5CkrZgSfVWJ44fNx1H2yS9Dfgw8ENKldJLKOMKTW81sIgYquTQr7dQ472EJH2CMrbStSyp3vIwdt+U9CvghZ2qPUmPA35u+2ntRhYRQ9MgbXuXtmOo9gGeNqQ3thlpAeV+Fh33ASPvuRERLVjtk8OI8ZSg1G3fCfzU9k0thHQjsBZdVVvDpus7+R3lZjfnUL6XvckNbiIGwmqfHCjjKI20DfBBScfYPqvheO4H5ki6iKXbPg5vOI42db6TX9dHxzktxBIRfQxNm8NIkjYFftD0kN2SDuxXbntGk3FERIxlaJMDZAC8ttVOAv3GVhqaoUQiBtUwVCv1JWlX4K4WtjsV+DiwHbBup3xIr9T+l67X6wKvBR5qKZaI6LLaJ4dRhmrYFLgVOKD5iDgFOBr4LLALcBBdo7MOE9sjb+zzM0kZdC9iAKz21Up9hmow8Hvbf2wpntm2n9t9O0xJP7H9N23E06ba7tOxBvBc4IRc5xDRvtX+zGEAx+l5QNIawA2SDqN053xCyzG1ZTYlWYtSnXQTcHCrEUUEMARnDoNG0vOA64CNgY8CGwGftH1pq4FFRHRJcojWSFoXeBfwYsoZxE+BE20/0GpgEZHk0JTcGrOXpLMpQ2acXov2Azax/fr2oooIGII2hwFyWn3+VKtRDJan2d6+6/3Fkq5uLZqIeESSQ0M63Ta7748saRNgS9tzWwusXVdJ2rnT3iJpJ+BnLccUEaRaqXGSLgFeTUnMc4CFwI9sjxwgcLUn6TrgacBva9FWlMb6h8ntQiNalTOH5m1k+956o5tTbB8taVjPHPZoO4CI6G+NtgMYQmtK2gx4A3Bu28G0qV6DsiWwa339R2AN278ZwOtTIoZKkkPzjgUuAObbvkLSk4AbWo6pFZKOBt4PHFWL1mZJz6WIaFHaHKI1kuYAOwJXdkbHlTQ3bQ0R7cuZQ8MkfVLShpLWknSRpDslvantuFryZ5ejEwNIWr/leCKiSnJo3u627wVeSbmH8lOB97UbUmvOlvRfwMaS3g78APhqyzFFBOmt1Ia16vNewJm2F0lDOWI3tj8l6eXAvZQurR+2fWHLYUUESQ5t+J6k64E/Ae+SNBkY2rGEajK4EEDSJEn72z6j5bAihl4apFtQr4y+1/ZiSY8BNrT9f23H1RRJGwKHAlsAMynJ4VBK9doc23u3GF5EkOTQOEl97z5n+2tNx9IWSedQbtH6C2A3YBNKN9YjbM9pM7aIKJIcGibp811v16XsHK+0/bqWQmrciLvgTQLuBLayfV+7kUVER9ocGmb73d3vJW3EkhFbh8VfOi9q1dpNSQwRgyVnDi2TtBYw1/Yz2o6lKZIWU4bKgHKL0PWA++tr296wrdgiosiZQ8NG3OxnDWA74JvtRdQ825PajiEixpYzh4ZJeknX24eA39he0FY8ERH9JDm0rDbI7pu+/RExSDJ8RkPqeEpHSfqCpN1VHAbcSBm+OyJiYOTMoSHp2x8RjyZJDg1J3/6IeDRJtVJzlurbD6Rvf0QMrJw5NCR9+yPi0STJISIieqRaKSIieiQ5REREjySHiIjokeQQ0RBJ76k3d4oYeGmQjmiIpJuBabbv7DNtUu3iHDEQcuYQ0UXSAZLmSrpa0mmStpZ0US27SNJWdb5TJb2ua7k/1OeXSrpE0rckXS/pjDpUyuHA5sDFki7uLCPpWEmXAR+S9N2u9b1c0nca/fARXTJkd0Ql6ZnAB4EX2b5T0qbADOBrtmdIeitwArDPOKvaEXgmcCvws7q+EyS9F9il68xhfeCXtj8sScB1kibbXggcBJyy0j9kxATlzCFiiV2Bb3V23rYXAS8Avl6nnwa8eALrudz2AtsPA3OAbUaZbzHw7bot1/W/SdLGdbvnL+fniFhhOXOIWEIsuRHTaDrTH6IeXNWj/rW75nmw6/ViRv8/e2BEO8MpwPeAB4Bv2n5ognFHrHQ5c4hY4iLgDZIeB1CrlX4O7Fun7w/8tL6+GXhufb03sNYE1n8f8NjRJtq+lVIV9SHg1GULPWLlyplDRGV7nqTjgB/VsbCuAg4Hpkt6H9BpCwD4CnCOpMspSeWP/dY5wknA+ZJus73LKPOcAUy2fe2KfJaIFZWurBEDRNIXgKtsn9x2LDHckhwiBoSk2ZQzkJfbfnC8+SNWpSSHiIjokQbpiIjokeQQERE9khwiIqJHkkNERPRIcoiIiB7/H9i9zjcQAn+aAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done suicide only in 2010\n",
    "mask34=suicide['year']==2010\n",
    "suicide_2010=suicide[mask34]\n",
    "suicide_2010.groupby('country')['suicides_no'].agg('sum').sort_values(ascending=False).head(10).plot(kind='bar',title='In 2010 suicide no by top 10 country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x246711e8828>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "suicide_2010.groupby('country')['population'].agg('sum').sort_values(ascending=False).head(10).plot(kind='pie',title='in 2000 population in top 10 country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>country</th>\n",
       "      <th>year</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>suicides_no</th>\n",
       "      <th>population</th>\n",
       "      <th>country-year</th>\n",
       "      <th>gdp_for_year ($)</th>\n",
       "      <th>generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>21</td>\n",
       "      <td>312900</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>35-54 years</td>\n",
       "      <td>16</td>\n",
       "      <td>308000</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Silent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>female</td>\n",
       "      <td>15-24 years</td>\n",
       "      <td>14</td>\n",
       "      <td>289700</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Generation X</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>75+ years</td>\n",
       "      <td>1</td>\n",
       "      <td>21800</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>G.I. Generation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1987</td>\n",
       "      <td>male</td>\n",
       "      <td>25-34 years</td>\n",
       "      <td>9</td>\n",
       "      <td>274300</td>\n",
       "      <td>Albania1987</td>\n",
       "      <td>2,156,624,900</td>\n",
       "      <td>Boomers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country  year     sex          age  suicides_no  population country-year  \\\n",
       "0  Albania  1987    male  15-24 years           21      312900  Albania1987   \n",
       "1  Albania  1987    male  35-54 years           16      308000  Albania1987   \n",
       "2  Albania  1987  female  15-24 years           14      289700  Albania1987   \n",
       "3  Albania  1987    male    75+ years            1       21800  Albania1987   \n",
       "4  Albania  1987    male  25-34 years            9      274300  Albania1987   \n",
       "\n",
       "   gdp_for_year ($)        generation  \n",
       "0      2,156,624,900     Generation X  \n",
       "1      2,156,624,900           Silent  \n",
       "2      2,156,624,900     Generation X  \n",
       "3      2,156,624,900  G.I. Generation  \n",
       "4      2,156,624,900          Boomers  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Generation X       6408\n",
       "Silent             6364\n",
       "Millenials         5844\n",
       "Boomers            4990\n",
       "G.I. Generation    2744\n",
       "Generation Z       1470\n",
       "Name: generation, dtype: int64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#done\n",
    "suicide['generation'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Let's check for country\n",
    "alpha =0.8\n",
    "plt.figure(figsize=(10,20))\n",
    "sns.countplot(y='country', data=suicide, alpha=alpha)\n",
    "plt.title('Data by country')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "cor = sns.heatmap(suicide.corr(), annot =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2467026c710>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done now plot which generation has most suicide number\n",
    "plt.figure(figsize=(16,7))\n",
    "sns.barplot(x = 'sex', y = 'suicides_no', hue = 'generation',data = suicide)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x246706c84a8>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#done suicide yearwise worlwide\n",
    "suicide.groupby('year')['suicides_no'].agg('sum').plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2466cfea198>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#above same by line plot also age gap come into action\n",
    "mask100=suicide['age']=='15-24 years'\n",
    "mask101=suicide['age']=='35-54 years'\n",
    "mask102=suicide['age']=='25-34 years'\n",
    "mask103=suicide['age']=='5-14 years'\n",
    "mask104=suicide['age']=='75+ years'\n",
    "mask105=suicide['age']=='55-74 years'\n",
    "suicide_age5=suicide[mask103]\n",
    "suicide_age15=suicide[mask100]\n",
    "suicide_age25=suicide[mask102]\n",
    "suicide_age35=suicide[mask101]\n",
    "suicide_age55=suicide[mask105]\n",
    "suicide_age75=suicide[mask104]\n",
    "\n",
    "plt.figure(figsize=(16,7))\n",
    "\n",
    "#age_5_lp = sns.barplot(x='year', y='suicides_no', data=suicide_age5)\n",
    "#age_15_lp = sns.barplot(x='year', y='suicides_no', data=suicide_age15)\n",
    "#age_25_lp = sns.lineplot(x='year', y='suicides_no', data=suicide_age25)\n",
    "age_35_lp = sns.barplot(x='year', y='suicides_no', data=suicide_age35)\n",
    "#age_55_lp = sns.lineplot(x='year', y='suicides_no', data=suicide_age55)\n",
    "#age_75_lp = sns.lineplot(x='year', y='suicides_no', data=suicide_age75)\n",
    "\n",
    "\n",
    "\n",
    "plt.legend(['5-14 years', '15-24 years', '25-34 years', '35-54 years', '55-74 years', '75+ years'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}