bayram_trafik_kazaları.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bayram kaza istatistikleri"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as pl\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bayram = pd.read_csv(\"data/bayram.csv\", index_col='gunler')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>kaza</th>\n",
       "      <th>ölüm</th>\n",
       "      <th>yaralı</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gunler</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-08-25</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-26</th>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-27</th>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-28</th>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-29</th>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-30</th>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-31</th>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02</th>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-03</th>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-04</th>\n",
       "      <td>18</td>\n",
       "      <td>14</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            kaza  ölüm  yaralı\n",
       "gunler                        \n",
       "2017-08-25     6     3      24\n",
       "2017-08-26    13     8      41\n",
       "2017-08-27    13     6      48\n",
       "2017-08-28    11     9      28\n",
       "2017-08-29    14    12      24\n",
       "2017-08-30    19    10      78\n",
       "2017-08-31    29    15      77\n",
       "2017-09-01    16     7      48\n",
       "2017-09-02     9    16      16\n",
       "2017-09-03    17    16      46\n",
       "2017-09-04    18    14      60"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bayram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>kaza</th>\n",
       "      <th>ölüm</th>\n",
       "      <th>yaralı</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11.0000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15.0000</td>\n",
       "      <td>10.545455</td>\n",
       "      <td>44.545455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.0663</td>\n",
       "      <td>4.390071</td>\n",
       "      <td>20.934964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.0000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.0000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>14.0000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>46.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>17.5000</td>\n",
       "      <td>14.500000</td>\n",
       "      <td>54.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>29.0000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>78.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          kaza       ölüm     yaralı\n",
       "count  11.0000  11.000000  11.000000\n",
       "mean   15.0000  10.545455  44.545455\n",
       "std     6.0663   4.390071  20.934964\n",
       "min     6.0000   3.000000  16.000000\n",
       "25%    12.0000   7.500000  26.000000\n",
       "50%    14.0000  10.000000  46.000000\n",
       "75%    17.5000  14.500000  54.000000\n",
       "max    29.0000  16.000000  78.000000"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bayram.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "kaza      165\n",
       "ölüm      116\n",
       "yaralı    490\n",
       "dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bayram.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0a196953d0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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L2gi8C/wJuA24KyLWpZpbZLZrTj+3yGzXXN2aa3IPHVgB1AN/D0wElkp6QNJ0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0a19611e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bayram.plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}