data-visualization.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly as py\n",
    "import plotly.express as px\n",
    "import plotly.graph_objs as go"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"./filtered_data.csv\", sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>SegmentID</th>\n",
       "      <th>SegmentDirection</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>AverageSpeed</th>\n",
       "      <th>Minute</th>\n",
       "      <th>DateTime</th>\n",
       "      <th>IsNationalHoliday</th>\n",
       "      <th>DayName</th>\n",
       "      <th>IsWeekend</th>\n",
       "      <th>IsSchoolHoliday</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
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       "      <td>2019</td>\n",
       "      <td>1</td>\n",
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       "      <td>32.0</td>\n",
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       "      <td>2019-01-01 00:15:00</td>\n",
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       "      <td>Tuesday</td>\n",
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       "   Unnamed: 0  SegmentID  SegmentDirection  Year  Month  Day  Hour  \\\n",
       "0           0         65                 0  2019      1    1     0   \n",
       "1           1         65                 0  2019      1    1     0   \n",
       "2           2         65                 0  2019      1    1     1   \n",
       "3           3         65                 0  2019      1    1     1   \n",
       "4           4         65                 0  2019      1    1     2   \n",
       "\n",
       "   AverageSpeed  Minute             DateTime  IsNationalHoliday  DayName  \\\n",
       "0          32.0      15  2019-01-01 00:15:00                  1  Tuesday   \n",
       "1          33.0      45  2019-01-01 00:45:00                  1  Tuesday   \n",
       "2          13.0      15  2019-01-01 01:15:00                  1  Tuesday   \n",
       "3          27.0      45  2019-01-01 01:45:00                  1  Tuesday   \n",
       "4          43.0      15  2019-01-01 02:15:00                  1  Tuesday   \n",
       "\n",
       "   IsWeekend  IsSchoolHoliday  \n",
       "0          0                0  \n",
       "1          0                0  \n",
       "2          0                0  \n",
       "3          0                0  \n",
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    "df.head()"
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   "execution_count": 59,
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    "day_df = pd.DataFrame({'Day':df[\"DayName\"].value_counts().index, \n",
    "              'Count':df[\"DayName\"].value_counts().values,\n",
    "              'DayNo':[2,7,6,5,3,4,1]}).sort_values('DayNo')"
   ]
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    "fig = go.Figure()\n",
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    "                x=month_df[\"Month\"],\n",
    "                y=month_df[\"Count\"], \n",
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    "\n",
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    "    title_text='Veri Setinin Aylara Göre Dağılımı (2019)',\n",
    "    height=500, width=600, yaxis_title='Count', xaxis_title='Months')\n",
    "\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "avgSpeed = df.loc[:,[\"DayName\", \"AverageSpeed\"]].groupby(\"DayName\").mean().reset_index()\n",
    "avgSpeed_df = pd.DataFrame({'Day':avgSpeed[\"DayName\"], \n",
    "                            'Average Speed':avgSpeed[\"AverageSpeed\"],\n",
    "                            'DayNo':[5,1,6,7,4,2,3]}).sort_values('DayNo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
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   "source": [
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Bar(\n",
    "                x=avgSpeed_df[\"Day\"],\n",
    "                y=avgSpeed_df[\"Average Speed\"], \n",
    "                marker_color='#D296BA',\n",
    "                marker_line_color='rgb(8,48,107)',\n",
    "                marker_line_width=2, \n",
    "                opacity=0.7,\n",
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    "\n",
    "fig.update_layout(\n",
    "    title_text='Günlere Göre Ortalama Hızlar',\n",
    "    height=500, width=600, yaxis_title='Count')\n",
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    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "avgSpeedSchool = df.loc[:,[\"IsSchoolHoliday\", \"AverageSpeed\"]].groupby(\"IsSchoolHoliday\").mean().reset_index()\n",
    "avgSpeedSchool_df = pd.DataFrame({'IsSchoolHoliday':avgSpeedSchool[\"IsSchoolHoliday\"], \n",
    "                            'Average Speed':avgSpeedSchool[\"AverageSpeed\"],\n",
    "                            'School':['Tatil Değil', 'Tatil']})"
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  },
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   "source": [
    "colors = ['mediumturquoise', 'orangered']\n",
    "columns = list(avgSpeedSchool_df['School'])\n",
    "values = list(avgSpeedSchool_df['Average Speed'])\n",
    "\n",
    "fig = go.Figure(data=[go.Pie(labels=columns, \n",
    "                             values=values , hole=.3)]\n",
    "               )\n",
    "\n",
    "fig.update_traces(hoverinfo='label+percent+value', textinfo='label+percent', textfont_size=18,\n",
    "                  marker=dict(colors=colors, line=dict(color='#000000', width=2))\n",
    "                 )\n",
    "\n",
    "fig.update_layout(\n",
    "    title_text=\"Hızın Okulların Tatil Durumuna Göre Oranı\", height=500, width=700, showlegend=False\n",
    ")\n",
    "\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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