Project.ipynb

project.ipynb

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  "metadata": {
    "colab": {
      "name": "Project.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [
        "wlwswl3-C30O",
        "jCpT0UC3C-nq",
        "SOj7GW9pDApB",
        "7CeZxB5EaZJC",
        "5PgPyBQRgPn2",
        "U0WYxXEWwzSx",
        "kAlBuAwE0yyi",
        "h6lC43YVC-03",
        "ZdFotJo1DQxO",
        "2T349AbruNjc",
        "WUvsHGutDmjQ",
        "XgRRpqDCYw53"
      ],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/egealpay/23f556400acd832b6df34302d65adbae/project.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mIQBr7vYHGZF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.metrics import mean_absolute_error\n",
        "from sklearn.metrics import r2_score"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xq8l68Ee45IZ",
        "colab_type": "code",
        "outputId": "9689beb2-1fce-4f2e-ecf3-077692f1988c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        }
      },
      "source": [
        "!pip install -U seaborn"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already up-to-date: seaborn in /usr/local/lib/python3.6/dist-packages (0.9.0)\n",
            "Requirement already satisfied, skipping upgrade: numpy>=1.9.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.16.3)\n",
            "Requirement already satisfied, skipping upgrade: pandas>=0.15.2 in /usr/local/lib/python3.6/dist-packages (from seaborn) (0.24.2)\n",
            "Requirement already satisfied, skipping upgrade: matplotlib>=1.4.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (3.0.3)\n",
            "Requirement already satisfied, skipping upgrade: scipy>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.2.1)\n",
            "Requirement already satisfied, skipping upgrade: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.2->seaborn) (2018.9)\n",
            "Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.2->seaborn) (2.5.3)\n",
            "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2.4.0)\n",
            "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (0.10.0)\n",
            "Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (1.1.0)\n",
            "Requirement already satisfied, skipping upgrade: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.5.0->pandas>=0.15.2->seaborn) (1.12.0)\n",
            "Requirement already satisfied, skipping upgrade: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib>=1.4.3->seaborn) (41.0.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X_SYj1hOHVu9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install -U -q PyDrive\n",
        "from pydrive.auth import GoogleAuth\n",
        "from pydrive.drive import GoogleDrive\n",
        "from google.colab import auth\n",
        "from oauth2client.client import GoogleCredentials\n",
        "\n",
        "auth.authenticate_user()\n",
        "gauth = GoogleAuth()\n",
        "gauth.credentials = GoogleCredentials.get_application_default()\n",
        "drive = GoogleDrive(gauth)\n",
        "\n",
        "drive_adverts = drive.CreateFile({'id':'1gbtkda0OFeT8o0SXlkTJyyhyxWv9Q-vf'})\n",
        "drive_adverts.GetContentFile('car_adverts.csv')  \n",
        "\n",
        "drive_statistics = drive.CreateFile({'id':'1_sn-sD3-sBVVQ86KHxFYbtAW3wxSwhgI'})\n",
        "drive_statistics.GetContentFile('city_statistics.csv')   "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ukbHqiaTHth9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_adverts = pd.read_csv('car_adverts.csv')\n",
        "df_statistics = pd.read_csv('city_statistics.csv', index_col=0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7GlKJRD71s11",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_adverts = df_adverts[pd.notnull(df_adverts.city)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OZxTJ7ZLIS_I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "bin_kisiye_dusen_otomobil = []\n",
        "gsyh_bin_tl = []\n",
        "kisi_basina_gsyh_dolar = []\n",
        "kisi_basina_gsyh_tl = []\n",
        "kisi_basina_tuketilen_elektrik_kwh = []\n",
        "kitap_sayisi = []\n",
        "konut_satisi_toplam = []\n",
        "motorlu_tasit_sayisi = []\n",
        "okuma_yazma_bilme_orani = []\n",
        "otomobil_sayisi = []\n",
        "toplam_ihracat_bin_dolar = []\n",
        "toplam_ithalat_bin_dolar = []\n",
        "trafik_kaza_sayisi = []\n",
        "turist_sayisi = []\n",
        "\n",
        "for i in range(0, df_adverts.shape[0]):\n",
        "  city_name = df_adverts.iloc[i].city\n",
        "  bin_kisiye_dusen_otomobil.append(df_statistics.loc[\"bin_kisiye_dusen_otomobil\"][city_name])\n",
        "  gsyh_bin_tl.append(df_statistics.loc[\"gsyh_bin_tl\"][city_name])\n",
        "  kisi_basina_gsyh_dolar.append(df_statistics.loc[\"kisi_basina_gsyh_dolar\"][city_name])\n",
        "  kisi_basina_gsyh_tl.append(df_statistics.loc[\"kisi_basina_gsyh_tl\"][city_name])\n",
        "  kisi_basina_tuketilen_elektrik_kwh.append(df_statistics.loc[\"kisi_basina_tuketilen_elektrik_kwh\"][city_name])\n",
        "  kitap_sayisi.append(df_statistics.loc[\"kitap_sayisi\"][city_name])\n",
        "  konut_satisi_toplam.append(df_statistics.loc[\"konut_satisi_toplam\"][city_name])\n",
        "  motorlu_tasit_sayisi.append(df_statistics.loc[\"motorlu_tasit_sayisi\"][city_name])\n",
        "  okuma_yazma_bilme_orani.append(df_statistics.loc[\"okuma_yazma_bilme_orani\"][city_name])\n",
        "  otomobil_sayisi.append(df_statistics.loc[\"otomobil_sayisi\"][city_name])\n",
        "  toplam_ihracat_bin_dolar.append(df_statistics.loc[\"toplam_ihracat_bin_dolar\"][city_name])\n",
        "  toplam_ithalat_bin_dolar.append(df_statistics.loc[\"toplam_ithalat_bin_dolar\"][city_name])\n",
        "  trafik_kaza_sayisi.append(df_statistics.loc[\"trafik_kaza_sayisi\"][city_name])\n",
        "  turist_sayisi.append(df_statistics.loc[\"turist_sayisi\"][city_name])\n",
        "  \n",
        "  \n",
        "df_adverts[\"bin_kisiye_dusen_otomobil\"] = bin_kisiye_dusen_otomobil\n",
        "df_adverts[\"gsyh_bin_tl\"] = gsyh_bin_tl\n",
        "df_adverts[\"kisi_basina_gsyh_dolar\"] = kisi_basina_gsyh_dolar\n",
        "df_adverts[\"kisi_basina_gsyh_tl\"] = kisi_basina_gsyh_tl\n",
        "df_adverts[\"kisi_basina_tuketilen_elektrik_kwh\"] = kisi_basina_tuketilen_elektrik_kwh\n",
        "df_adverts[\"kitap_sayisi\"] = kitap_sayisi\n",
        "df_adverts[\"konut_satisi_toplam\"] = konut_satisi_toplam\n",
        "df_adverts[\"motorlu_tasit_sayisi\"] = motorlu_tasit_sayisi\n",
        "df_adverts[\"okuma_yazma_bilme_orani\"] = okuma_yazma_bilme_orani\n",
        "df_adverts[\"otomobil_sayisi\"] = otomobil_sayisi\n",
        "df_adverts[\"toplam_ihracat_bin_dolar\"] = toplam_ihracat_bin_dolar\n",
        "df_adverts[\"toplam_ithalat_bin_dolar\"] = toplam_ithalat_bin_dolar\n",
        "df_adverts[\"trafik_kaza_sayisi\"] = trafik_kaza_sayisi\n",
        "df_adverts[\"turist_sayisi\"] = turist_sayisi"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iLKLLvgGKM4i",
        "colab_type": "code",
        "outputId": "5030311f-7b0a-41cc-bb1a-c34f9be90ea9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        }
      },
      "source": [
        "df_adverts.drop([\"Unnamed: 0\"], axis=1, inplace=True)\n",
        "df_adverts.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "        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>city</th>\n",
              "      <th>price</th>\n",
              "      <th>make</th>\n",
              "      <th>model</th>\n",
              "      <th>version</th>\n",
              "      <th>year</th>\n",
              "      <th>fuel</th>\n",
              "      <th>transmission</th>\n",
              "      <th>km</th>\n",
              "      <th>car_type</th>\n",
              "      <th>horse_power</th>\n",
              "      <th>engine_displacement</th>\n",
              "      <th>color</th>\n",
              "      <th>bin_kisiye_dusen_otomobil</th>\n",
              "      <th>gsyh_bin_tl</th>\n",
              "      <th>kisi_basina_gsyh_dolar</th>\n",
              "      <th>kisi_basina_gsyh_tl</th>\n",
              "      <th>kisi_basina_tuketilen_elektrik_kwh</th>\n",
              "      <th>kitap_sayisi</th>\n",
              "      <th>konut_satisi_toplam</th>\n",
              "      <th>motorlu_tasit_sayisi</th>\n",
              "      <th>okuma_yazma_bilme_orani</th>\n",
              "      <th>otomobil_sayisi</th>\n",
              "      <th>toplam_ihracat_bin_dolar</th>\n",
              "      <th>toplam_ithalat_bin_dolar</th>\n",
              "      <th>trafik_kaza_sayisi</th>\n",
              "      <th>turist_sayisi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>İzmir</td>\n",
              "      <td>46500</td>\n",
              "      <td>Renault</td>\n",
              "      <td>Megane</td>\n",
              "      <td>1.5 dCi Joy</td>\n",
              "      <td>2013</td>\n",
              "      <td>Dizel</td>\n",
              "      <td>Yarı Otomatik</td>\n",
              "      <td>145000</td>\n",
              "      <td>Hatchback 5 kapı</td>\n",
              "      <td>110</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>Gümüş Gri</td>\n",
              "      <td>177.0</td>\n",
              "      <td>191467959.0</td>\n",
              "      <td>12344.0</td>\n",
              "      <td>45034.0</td>\n",
              "      <td>4658.0</td>\n",
              "      <td>443380.0</td>\n",
              "      <td>75672.0</td>\n",
              "      <td>1395159.0</td>\n",
              "      <td>98.47</td>\n",
              "      <td>765657.0</td>\n",
              "      <td>10235174.0</td>\n",
              "      <td>9118027.0</td>\n",
              "      <td>10376.0</td>\n",
              "      <td>946447.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>İstanbul</td>\n",
              "      <td>63900</td>\n",
              "      <td>Renault</td>\n",
              "      <td>Fluence</td>\n",
              "      <td>1.5 dCi Icon</td>\n",
              "      <td>2013</td>\n",
              "      <td>Dizel</td>\n",
              "      <td>Yarı Otomatik</td>\n",
              "      <td>116000</td>\n",
              "      <td>Sedan</td>\n",
              "      <td>110</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>Gümüş Gri</td>\n",
              "      <td>192.0</td>\n",
              "      <td>970188957.0</td>\n",
              "      <td>17827.0</td>\n",
              "      <td>65041.0</td>\n",
              "      <td>2609.0</td>\n",
              "      <td>1393875.0</td>\n",
              "      <td>234055.0</td>\n",
              "      <td>4173312.0</td>\n",
              "      <td>97.86</td>\n",
              "      <td>2887581.0</td>\n",
              "      <td>85050756.0</td>\n",
              "      <td>120578614.0</td>\n",
              "      <td>15497.0</td>\n",
              "      <td>13432990.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Osmaniye</td>\n",
              "      <td>48900</td>\n",
              "      <td>Renault</td>\n",
              "      <td>Fluence</td>\n",
              "      <td>1.5 dCi Joy</td>\n",
              "      <td>2013</td>\n",
              "      <td>Dizel</td>\n",
              "      <td>Yarı Otomatik</td>\n",
              "      <td>194000</td>\n",
              "      <td>Sedan</td>\n",
              "      <td>110</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>Beyaz</td>\n",
              "      <td>148.0</td>\n",
              "      <td>12472906.0</td>\n",
              "      <td>6513.0</td>\n",
              "      <td>23760.0</td>\n",
              "      <td>8102.0</td>\n",
              "      <td>123044.0</td>\n",
              "      <td>6642.0</td>\n",
              "      <td>161352.0</td>\n",
              "      <td>94.96</td>\n",
              "      <td>79073.0</td>\n",
              "      <td>271843.0</td>\n",
              "      <td>739287.0</td>\n",
              "      <td>1855.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Kocaeli</td>\n",
              "      <td>61000</td>\n",
              "      <td>Renault</td>\n",
              "      <td>Fluence</td>\n",
              "      <td>1.5 dCi Touch Plus</td>\n",
              "      <td>2013</td>\n",
              "      <td>Dizel</td>\n",
              "      <td>Manuel</td>\n",
              "      <td>110000</td>\n",
              "      <td>Sedan</td>\n",
              "      <td>90</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>Kahverengi</td>\n",
              "      <td>122.0</td>\n",
              "      <td>120073662.0</td>\n",
              "      <td>17723.0</td>\n",
              "      <td>64659.0</td>\n",
              "      <td>7263.0</td>\n",
              "      <td>209998.0</td>\n",
              "      <td>35783.0</td>\n",
              "      <td>392561.0</td>\n",
              "      <td>97.74</td>\n",
              "      <td>232254.0</td>\n",
              "      <td>8904320.0</td>\n",
              "      <td>13976934.0</td>\n",
              "      <td>4275.0</td>\n",
              "      <td>40600.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>İstanbul</td>\n",
              "      <td>47750</td>\n",
              "      <td>Renault</td>\n",
              "      <td>Clio</td>\n",
              "      <td>1.2 Icon</td>\n",
              "      <td>2013</td>\n",
              "      <td>Benzin &amp; LPG</td>\n",
              "      <td>Manuel</td>\n",
              "      <td>123000</td>\n",
              "      <td>Hatchback 5 kapı</td>\n",
              "      <td>75</td>\n",
              "      <td>1149.0</td>\n",
              "      <td>Kırmızı</td>\n",
              "      <td>192.0</td>\n",
              "      <td>970188957.0</td>\n",
              "      <td>17827.0</td>\n",
              "      <td>65041.0</td>\n",
              "      <td>2609.0</td>\n",
              "      <td>1393875.0</td>\n",
              "      <td>234055.0</td>\n",
              "      <td>4173312.0</td>\n",
              "      <td>97.86</td>\n",
              "      <td>2887581.0</td>\n",
              "      <td>85050756.0</td>\n",
              "      <td>120578614.0</td>\n",
              "      <td>15497.0</td>\n",
              "      <td>13432990.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       city  price  ... trafik_kaza_sayisi turist_sayisi\n",
              "0     İzmir  46500  ...            10376.0      946447.0\n",
              "1  İstanbul  63900  ...            15497.0    13432990.0\n",
              "2  Osmaniye  48900  ...             1855.0           NaN\n",
              "3   Kocaeli  61000  ...             4275.0       40600.0\n",
              "4  İstanbul  47750  ...            15497.0    13432990.0\n",
              "\n",
              "[5 rows x 27 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TOf63mm5QBM_",
        "colab_type": "code",
        "outputId": "127a1fff-f1e9-4df2-d768-08fb986af24f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        }
      },
      "source": [
        "df_adverts.isnull().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "city                                    0\n",
              "price                                   0\n",
              "make                                    0\n",
              "model                                   0\n",
              "version                                 0\n",
              "year                                    0\n",
              "fuel                                    0\n",
              "transmission                            0\n",
              "km                                      0\n",
              "car_type                                0\n",
              "horse_power                             0\n",
              "engine_displacement                    11\n",
              "color                                   0\n",
              "bin_kisiye_dusen_otomobil               0\n",
              "gsyh_bin_tl                             0\n",
              "kisi_basina_gsyh_dolar                  0\n",
              "kisi_basina_gsyh_tl                     0\n",
              "kisi_basina_tuketilen_elektrik_kwh      0\n",
              "kitap_sayisi                            0\n",
              "konut_satisi_toplam                     0\n",
              "motorlu_tasit_sayisi                    0\n",
              "okuma_yazma_bilme_orani                 0\n",
              "otomobil_sayisi                         0\n",
              "toplam_ihracat_bin_dolar                0\n",
              "toplam_ithalat_bin_dolar                2\n",
              "trafik_kaza_sayisi                      0\n",
              "turist_sayisi                         210\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Lfeel-tTE3g",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "median_unique_list = df_adverts.turist_sayisi.unique()\n",
        "median_unique = np.median(median_unique_list[~np.isnan(median_unique_list)])\n",
        "df_adverts.turist_sayisi.fillna(median_unique, inplace = True) "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pKykLeJpeL7H",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_adverts[\"turist_sayisi\"] = df_adverts.turist_sayisi.astype(float) #Bunu bir öncekinde dtype'a object diyor diye koydum, describeda gözükmüyordu yoksa, gerek yoksa kaldırabilirsiniz."
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eLTPLH2cV0nh",
        "colab_type": "code",
        "outputId": "d55c4105-fd61-4794-f75e-5ee9b80ec878",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        }
      },
      "source": [
        "df_adverts.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>price</th>\n",
              "      <th>year</th>\n",
              "      <th>km</th>\n",
              "      <th>horse_power</th>\n",
              "      <th>engine_displacement</th>\n",
              "      <th>bin_kisiye_dusen_otomobil</th>\n",
              "      <th>gsyh_bin_tl</th>\n",
              "      <th>kisi_basina_gsyh_dolar</th>\n",
              "      <th>kisi_basina_gsyh_tl</th>\n",
              "      <th>kisi_basina_tuketilen_elektrik_kwh</th>\n",
              "      <th>kitap_sayisi</th>\n",
              "      <th>konut_satisi_toplam</th>\n",
              "      <th>motorlu_tasit_sayisi</th>\n",
              "      <th>okuma_yazma_bilme_orani</th>\n",
              "      <th>otomobil_sayisi</th>\n",
              "      <th>toplam_ihracat_bin_dolar</th>\n",
              "      <th>toplam_ithalat_bin_dolar</th>\n",
              "      <th>trafik_kaza_sayisi</th>\n",
              "      <th>turist_sayisi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4294.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4.305000e+03</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4.305000e+03</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4.305000e+03</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4.305000e+03</td>\n",
              "      <td>4.305000e+03</td>\n",
              "      <td>4.303000e+03</td>\n",
              "      <td>4305.000000</td>\n",
              "      <td>4.305000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>67230.294309</td>\n",
              "      <td>2015.256214</td>\n",
              "      <td>83933.883856</td>\n",
              "      <td>95.235772</td>\n",
              "      <td>1445.516069</td>\n",
              "      <td>172.789082</td>\n",
              "      <td>4.150829e+08</td>\n",
              "      <td>13037.974913</td>\n",
              "      <td>47567.684321</td>\n",
              "      <td>3177.393496</td>\n",
              "      <td>8.087274e+05</td>\n",
              "      <td>114812.191405</td>\n",
              "      <td>1.997211e+06</td>\n",
              "      <td>97.373635</td>\n",
              "      <td>1.332930e+06</td>\n",
              "      <td>3.362116e+07</td>\n",
              "      <td>4.692210e+07</td>\n",
              "      <td>9248.928455</td>\n",
              "      <td>5.565658e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>21209.348109</td>\n",
              "      <td>1.763055</td>\n",
              "      <td>60405.806118</td>\n",
              "      <td>17.605139</td>\n",
              "      <td>134.776453</td>\n",
              "      <td>47.816657</td>\n",
              "      <td>4.248441e+08</td>\n",
              "      <td>4512.996193</td>\n",
              "      <td>16465.628316</td>\n",
              "      <td>1337.550673</td>\n",
              "      <td>5.715380e+05</td>\n",
              "      <td>95333.504072</td>\n",
              "      <td>1.714298e+06</td>\n",
              "      <td>1.413728</td>\n",
              "      <td>1.226508e+06</td>\n",
              "      <td>3.893292e+07</td>\n",
              "      <td>5.574206e+07</td>\n",
              "      <td>5590.957565</td>\n",
              "      <td>6.422713e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>21500.000000</td>\n",
              "      <td>2013.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>898.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>2.275965e+06</td>\n",
              "      <td>3489.000000</td>\n",
              "      <td>12729.000000</td>\n",
              "      <td>681.000000</td>\n",
              "      <td>4.660300e+04</td>\n",
              "      <td>159.000000</td>\n",
              "      <td>9.235000e+03</td>\n",
              "      <td>91.210000</td>\n",
              "      <td>2.156000e+03</td>\n",
              "      <td>2.080000e+02</td>\n",
              "      <td>2.950000e+02</td>\n",
              "      <td>163.000000</td>\n",
              "      <td>2.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>53000.000000</td>\n",
              "      <td>2014.000000</td>\n",
              "      <td>37900.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>4.517664e+07</td>\n",
              "      <td>8806.000000</td>\n",
              "      <td>32127.000000</td>\n",
              "      <td>2609.000000</td>\n",
              "      <td>2.990190e+05</td>\n",
              "      <td>29041.000000</td>\n",
              "      <td>4.049790e+05</td>\n",
              "      <td>97.450000</td>\n",
              "      <td>2.163760e+05</td>\n",
              "      <td>1.362409e+06</td>\n",
              "      <td>9.085480e+05</td>\n",
              "      <td>3944.000000</td>\n",
              "      <td>2.413300e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>63300.000000</td>\n",
              "      <td>2015.000000</td>\n",
              "      <td>79000.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>192.000000</td>\n",
              "      <td>1.914680e+08</td>\n",
              "      <td>12344.000000</td>\n",
              "      <td>45034.000000</td>\n",
              "      <td>2609.000000</td>\n",
              "      <td>4.433800e+05</td>\n",
              "      <td>75672.000000</td>\n",
              "      <td>1.395159e+06</td>\n",
              "      <td>97.860000</td>\n",
              "      <td>7.656570e+05</td>\n",
              "      <td>8.904320e+06</td>\n",
              "      <td>9.118027e+06</td>\n",
              "      <td>10376.000000</td>\n",
              "      <td>5.811170e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>76000.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>120000.000000</td>\n",
              "      <td>110.000000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>192.000000</td>\n",
              "      <td>9.701890e+08</td>\n",
              "      <td>17827.000000</td>\n",
              "      <td>65041.000000</td>\n",
              "      <td>3576.000000</td>\n",
              "      <td>1.393875e+06</td>\n",
              "      <td>234055.000000</td>\n",
              "      <td>4.173312e+06</td>\n",
              "      <td>97.860000</td>\n",
              "      <td>2.887581e+06</td>\n",
              "      <td>8.505076e+07</td>\n",
              "      <td>1.205786e+08</td>\n",
              "      <td>15497.000000</td>\n",
              "      <td>1.343299e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>206900.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "      <td>789000.000000</td>\n",
              "      <td>575.000000</td>\n",
              "      <td>6000.000000</td>\n",
              "      <td>262.000000</td>\n",
              "      <td>9.701890e+08</td>\n",
              "      <td>17827.000000</td>\n",
              "      <td>65041.000000</td>\n",
              "      <td>8779.000000</td>\n",
              "      <td>1.576875e+06</td>\n",
              "      <td>234055.000000</td>\n",
              "      <td>4.173312e+06</td>\n",
              "      <td>98.800000</td>\n",
              "      <td>2.887581e+06</td>\n",
              "      <td>8.505076e+07</td>\n",
              "      <td>1.205786e+08</td>\n",
              "      <td>15497.000000</td>\n",
              "      <td>1.343299e+07</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               price         year  ...  trafik_kaza_sayisi  turist_sayisi\n",
              "count    4305.000000  4305.000000  ...         4305.000000   4.305000e+03\n",
              "mean    67230.294309  2015.256214  ...         9248.928455   5.565658e+06\n",
              "std     21209.348109     1.763055  ...         5590.957565   6.422713e+06\n",
              "min     21500.000000  2013.000000  ...          163.000000   2.000000e+00\n",
              "25%     53000.000000  2014.000000  ...         3944.000000   2.413300e+04\n",
              "50%     63300.000000  2015.000000  ...        10376.000000   5.811170e+05\n",
              "75%     76000.000000  2017.000000  ...        15497.000000   1.343299e+07\n",
              "max    206900.000000  2019.000000  ...        15497.000000   1.343299e+07\n",
              "\n",
              "[8 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pv8kpdsl3y_v",
        "colab_type": "code",
        "outputId": "77360a9b-8408-4204-8d6a-6931528544fa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "df_adverts.dropna(inplace=True)\n",
        "df_adverts.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4292, 27)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4LKzS79wV7Sr",
        "colab_type": "code",
        "outputId": "db65eef5-13b3-4d05-bb0c-ff60027afd5c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        }
      },
      "source": [
        "print(df_adverts.dtypes)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "city                                   object\n",
            "price                                   int64\n",
            "make                                   object\n",
            "model                                  object\n",
            "version                                object\n",
            "year                                    int64\n",
            "fuel                                   object\n",
            "transmission                           object\n",
            "km                                      int64\n",
            "car_type                               object\n",
            "horse_power                             int64\n",
            "engine_displacement                   float64\n",
            "color                                  object\n",
            "bin_kisiye_dusen_otomobil             float64\n",
            "gsyh_bin_tl                           float64\n",
            "kisi_basina_gsyh_dolar                float64\n",
            "kisi_basina_gsyh_tl                   float64\n",
            "kisi_basina_tuketilen_elektrik_kwh    float64\n",
            "kitap_sayisi                          float64\n",
            "konut_satisi_toplam                   float64\n",
            "motorlu_tasit_sayisi                  float64\n",
            "okuma_yazma_bilme_orani               float64\n",
            "otomobil_sayisi                       float64\n",
            "toplam_ihracat_bin_dolar              float64\n",
            "toplam_ithalat_bin_dolar              float64\n",
            "trafik_kaza_sayisi                    float64\n",
            "turist_sayisi                         float64\n",
            "dtype: object\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wlwswl3-C30O",
        "colab_type": "text"
      },
      "source": [
        "### Visualization in Car Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7XEpQ5eJDrTY",
        "colab_type": "code",
        "outputId": "0eca2082-f19b-4d2f-ed03-faae3e860022",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Average Price for each model, in each transmission type\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.barplot(data=df_adverts, x=\"model\", y=\"price\", hue=\"transmission\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f05672a86a0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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oqqqK6upqdt55Z8aNG1fp6kibneYc9eXUdSw6vJ6yCThnHdsZD4yvJz4d6FtP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\nkEFdkiRJ6iGDuiRJktRDBnVJkiSph34Bl0E/UDajN2gAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wezkWyB6-O9g",
        "colab_type": "code",
        "outputId": "022ed073-881d-4922-ac76-cd09e29fa169",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Average Price per Car Color\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.barplot(data=df_adverts, x=\"color\", y=\"price\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053dba1fd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/Czy/DRdwZBv+NPB/gUcDzwC+Pt38wMHARQPtu02y7tuBXaep7UZg9cD9M4BX\nzGCbH6D7r/dfgTuBg1v74XSfcB7/L/yzwPOAFcBVbZpHAf8O7En3jUG7tPa96HqKM7CeRwNfBl46\nRR33tW18+oT23ceXA/wG8D/b8InAV4DHtvV9v63jZxnoXaE7KO+3he15EDhsoPYvAY9v938f+IOB\nx/itbfjNwGlt+C+Bd7bhlW1f2Kvdf0TvxTTbeiKtVwe4FPirCc/n2a3+o4C7gJ9p23IlcNBAjXtN\n9bhPHD+E18xObf/5N+CvgP82UP8hbfy/A49u7V8BfqYN79Ful9KdRPYceC2N17sGeE+fjgV0r+Nb\nBupfAXxjvmvcyudjj4FpPjbw+E7czx7aB0e8HVt1XGrj5rXncqDGrwOfHtg3ZnOOOHZ8f6c7tq0F\n9p/j7dgEPB04D3hc257n03pC6YLwDm34RcDfteHfBf6wDT8BuG6yx2Ce949fAS6ie8d5b+A/Wm3P\nB+4efyzpzrnrgB3b9q3n4WPvNQOvm/cCH5zt4ztJ21TntQ8Mrg/Yvd3eSHdumtX5bS5fJzPYjz4E\nnNCGXzCwz59Idw5bOot1b8tx7wNt+O3Ad9p+8li6Y/ue7bEr4DltutMH9pHpljv+XL4Y+HwbXjX+\nvAI/Dayd7rW1pb/F3qO+mSQfTterd8UMJr8X+Mc2vI7uxXRfG16xhXlvAP5Lkg8lWUkXwqar62fa\nf8T/Pt5j0HxyBnVO9J9VdVBVPYUuZJ7V/js8vP1dDVwFPAU4oKpuBL6f5GfHx1fV9+kOEH+c5Brg\n88A+dAfKcX8BXFJVfz9FHffRhbhjJrTvC1yYZB3we8BTB8b9Q1X9uKq+B9wG7F1VVwM/ke664WcA\nd1TVzVNtT1vOTVV1WRs+DDgQ+OckX6d7gT1pYJ2fardX8vDz+ly6EE1V/SMDvX9bua0TTXw+/766\nV/Q64LtVta6qHgSuZep9bEuP+6xU1Sa6k96xwEbgk0neMGH8JcBL0r0D8eiqWtdGvy3JvwCX0Z1s\nxp+Pe+lONLD54zwykxwLLqqq20da1CSmeT5+ofXgraM7SQ6+jrbluDHXtuq4NOIaD6qqR3x2YRIz\nOUccDhzdjj2X0wWGOd++qrqm1fBaHvk1xrsC56Z71+gkHt53zgHG37V9FV1Amy9T7R/PBT5R3TvO\n3wW+CPxcm+drVfXtNvzzdP9c3VNVd9F+ADHJrnQdZV9s051JF3iHbarz2ouAD49PVFWbnUuGcH6b\nU1vYj55L6zGvqkuAPZPs0sadX1X/OYv1bstxb/xHL9cB11bVrdX1yN/Aw79kf3NV/XMb/tu2DWxh\nuZNlhHPpzoGPprtk+YzWPtWECtTHAAAHK0lEQVRra1rb7feoz9C1dP+RA1BVx6W7TGBta7qfzT9w\n+7iB4ftaiILuP9jxt2AeTLLDdPNX1R3tRXcE8Ft0B71fn6S2ZwJfaEHnoHRvLy4dmOburdjWR6iq\nr7btXUYXvP9HVf2vSSY9ja7XZDndf5kAr2vzHVxV9yW5cXz72gvmScBbpln9g3TbfXGSd1XVH7f2\nDwF/XlXnp3sL+cSBeX48MPwAD++/59KdQJbzcAiZdHvSfQBs8HELXQh77RR1jq9zcH1ba6ptnWji\n8zm+7gfZfNsfnKyWGT7us1ZVD9D1JFzaDlyrJkxyGvAuut6vj7bank93Unp2Vd2T5FIefj0NvpZm\n8zjPxpaOBbN6rc2lSZ6P36Tr6Tqkqm5OciKbH7t6uy2wVcelPpjtOSJ079pdOOeVPtL5wJ/R9YLu\nOdD+Prrzzi+14+WlAFW1Icn32yUMr6Y7d827CfvHdPq0n093XtuS2Zzf5sNU+9F0Zl3jNhz3ZnI+\nLTZXSR5H12u/peU+dO5q57iL6N4NfxXdPxUwxWtrSxZ7j/olwOOS/PZA244DwzfSBeRHJdkPOHQr\nlz/p/O0g86iq+jvgPXSBfKL/AfxZkn0H2pZOMt02az2eS+guI7kQ+PU8fH32Pkl+ok36abpejJ9r\n00H3n+FtLaT/Aq0XOsnBwDuAX2u9v1Oqqnvorm97XZLx3uZdgQ1teGIAnMongdfQHczObW3Tbc+g\ny4DnJPmpNt3jk/z0Ftb3z3QvPpIcTve25rSm2Nah2ZrHfZbreXKSwR6/g4CbBqepqsvpeih+lYev\nWdyVrjfonrbfHTZXNW6jLR0LemmK5+O6Nvy9tv9v7WdXRmorjkt9cCOzO0dcCPx263kjyU8nefyQ\na5zK6XSXsqyb0D54DH7DhHGfBFbTXZZ5zdyWN7kJ+8eXgVenu9Z/GV1v+Ncmme1LwMuTLE2yM/BS\ngKq6E7gj7dpi4PV0vfLDNtV57SJg8Br0yc4lszm/Adw3vn/Nkan2oy/TdeiNd9R8r72bMWtzeNx7\nYpJnt+FfBf6Jh0P51i73NOBk4IqBd0qme21NaVH3qFdVJXk5cFKS1XRvodxNd50ydIHs23TXhX2L\n7i2mrTHV/PsAH20vyh/TXfs3sbYL2oHnc0mWAD+gu653tj0vS9vbrND9V76q/Wf6f5P8P8BXu3cU\n2QT8Gl0YvzfdhxN/0KYF+Djw9+0/2bV0vafQ9ebuAXyhLWdtVf3GVMVU1e3pLv/5UpKNdD0N5ya5\ngy487b+lDaqqa9vBd0NV3draptqeBybMu7H1RH8iyWNb83vorn2byh+26V9P98nzMeCHM6hz4rYO\n01Y97rOwE/ChdF8ddj/dtZ7H8si3wc+hu45+/AD1j8BvJfkW3QF1Xt6anaktHAuG+g/ykE31fIwf\nL8aAmVzKN2pbfVzikb1fozDbc8RptM8BpdvAjcDLh1ngVKrqFrogMdEa4Mwk7wH+YcK48+gur3vf\nHJc30aT7R5JP030DyL/Q7Q+rq2qshfmHVNVVST7ZpruNzV8Tq4C/TvfBwRuAN86y1h2T3DJw/8+Z\n+rz2R8CH010K8QDdueVTA/PO6vzWnApck+SqqnrdLLftEabZj04ETk93eew9zLzjbSZ2Bv4y3aU0\nO9FlkGEc964DjktyOt1r+pTWufQ3W7vcqroyyV20d5Wb6V5bU/KXSUeo/Qf8lqr6g1HXMp0kj6I7\nAb2yqq4fdT2j1gL9A1V1f/vv+5SqOmhL8y0m6b5L96SqunjUtWj7k2RPug+5P2mLE0vabqX7FrRj\nBjoRt3U5K+g+CPu0IZRFkp+ku7TlKbN9l3uxX/oyMu2tti/SfdCwt9L9iM164GJD+kOeCFyR7oOR\nJwNvGnE9vZFktyT/RvfhL0O6hq6dAL9Kd12spEUqyWV03zbWq6tDkhxN9+Hwdw/jUlR71CVJkqQe\nskddkiRJ6iGDuiRJktRDBnVJkiSphwzqkqRtkuTEJO8YdR2StL0yqEuS5kUe/kVOSdIMGNQlSZtJ\ncnSSa5L8S5KPJVmR5JLWdnGSJ04yz0FJLmvTfHr8VxaTXJrkg0nWAm+f942RpAXMoC5JekiSp9L9\nOu8LquoZdOH6Q8CZVfV0ul8lnuyXCM8Cfr9Nsw44YWDcY6rqkKr6n3NbvSRtXwzqkqRBLwDOrarv\nAVTV7XQ/0/6/2/iPAc8dnCHJrsBuVfXF1nQm8LyBST45pxVL0nbKoC5Jmmt3j7oASVqIDOqSpEGX\nAK9MsidAkj2ArwCvaeNfB3x5cIaquhO4I8nPt6bXA19EkjQrfgJfkvSQqro2yfuBLyZ5ALgaeCvw\n0SS/B2wE3jjJrKuAv06yI3DDFNNIkrZCqmrUNUiSJEmawEtfJEmSpB4yqEuSJEk9ZFCXJEmSesig\nLkmSJPWQQV2SJEnqIYO6JEmS1EMGdUmSJKmHDOqSJElSD/3/dZ5u3PBnAsYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JZoWjNqE4ezQ",
        "colab_type": "code",
        "outputId": "aae89dd3-0038-4974-bed6-08a7b5ecf01b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "'''# KM vs Price\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot(data=df_adverts, x=\"km\", y=\"price\")'''"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'# KM vs Price\\n\\nplt.figure(figsize=(8,6))\\nsns.scatterplot(data=df_adverts, x=\"km\", y=\"price\")'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z22s88Glm9nL",
        "colab_type": "code",
        "outputId": "b2573a0b-e9bd-47ce-eddf-7b65d93a05e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot( x=\"kisi_basina_gsyh_dolar\", y=\"price\",data=df_adverts)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053db1a160>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vafd55fRaeN35fV35hr54VJnXZSiYhmyalCkghND0a0TkRB+SIDGM3clX9XK2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um3Eomp2FhR2SqdN2eDDgkWCCEBAByltD7+7+sA/BbA6wDuBvBk/P+vxT/yOoAHCSFroREcT8cD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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YuhCRZVgDWFe",
        "colab_type": "code",
        "outputId": "c262a6b4-e058-4349-d1bb-efcf26093652",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Car Type vs Price\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.boxplot(data=df_adverts, x=\"car_type\", y=\"price\", hue=\"fuel\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053dad5438>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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lygHLkiRJGrlM1KtYQ0PDgGVJkiSNXBVL1CPi+oh4NiIe6VX39Yh4LCKWRMTP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\nMfRf6sM7ho18KOgAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jCpT0UC3C-nq",
        "colab_type": "text"
      },
      "source": [
        "### Visualization in City Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tC1qiJQfH-PJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_statistics = df_statistics.transpose()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eXDsxluhHipg",
        "colab_type": "code",
        "outputId": "db08245f-ac21-43e3-cbb0-aefa4033d655",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 577
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "sns.heatmap(df_statistics.corr(), cmap=\"magma\", linecolor=\"white\", linewidths=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053d91fb38>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TUoekDSXNlHS8pFvSuk9JmpU+MyWtVq/3pI71JU2V9KSk995sI+kGSQ9LmidpXFo3WFKr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t/WbXdP5rRDnErSibaPlnQ+A+YO2H51hVjNk/SuvssFwE7AVrZfWSlSzDNd2+wfAxsD76SU8HzK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\nERExUv8f4E9480Ah0HoAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3i4KVhCSHHnp",
        "colab_type": "code",
        "outputId": "61e9c716-65ff-4ee1-cd41-cf64e725b12b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "plt.ticklabel_format(style='plain', axis='x')\n",
        "sns.scatterplot(data=df_statistics, x=\"kisi_basina_gsyh_dolar\", y=\"otomobil_sayisi\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c6654a8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vM/uWLFnS6uJIktSWpr1FIjMfKPfqGAQ+w+OXFlZTmy1zyLKSNlb6OmBhRHSPSN/hWGX9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\nJ9Yb8vaoqxMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SOj7GW9pDApB",
        "colab_type": "text"
      },
      "source": [
        "### Visualization in Car&City Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N3-0lI-NOeP2",
        "colab_type": "code",
        "outputId": "a6f886f2-32ff-4849-c8bb-052b95afeee6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        }
      },
      "source": [
        "corr = df_adverts.corr()  # extract correlations between each column\n",
        "\n",
        "sns.heatmap(corr, \n",
        "            xticklabels=corr.columns.values,\n",
        "            yticklabels=corr.columns.values)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053d959ef0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vVaotBQOBl6KB3WJCr+8hyQRmluxlXpPCHjYV4XMO8jCzBZIOAsYR3sZznBYf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\nmUQ6B0mSJEmSTOL/A0cH1HM1ssQQAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "70VEp-RQKPOn",
        "colab_type": "code",
        "outputId": "55a76d5b-74e7-4536-e0cf-36922ec2432f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 576
        }
      },
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "sns.heatmap(df_adverts.corr(), cmap=\"magma\", linecolor=\"white\", linewidths=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c53a5f8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Jf6iw7zZJ665C/FGSPliQniZp2MrWY2ZmZtYMoq22T6PydC+ri4j4/CoeOgqY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\nhBBCCCGEEEaVWKSEEEIIIYQQRpX/D6c3bWAjFPIgAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dHcoAwDACiuB",
        "colab_type": "code",
        "outputId": "783e3859-a87d-484a-f3c9-f372358322b0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Average GDP per car color chosen\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.ticklabel_format(style='plain', axis='y')\n",
        "sns.barplot(data=df_adverts, x=\"color\", y=\"gsyh_bin_tl\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c458208>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mZSlHCE4AnlpVl00qGEmStPV79kf/dSztXH/TrQD84KZbx9LmR57xoGW3IQ3RUi4qvtpk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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mVOFjJ8PKzKT",
        "colab_type": "code",
        "outputId": "ff563dde-6a2a-413b-9d85-38935120aa41",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Average GDP per head, for each transmission type & fuel\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.ticklabel_format(style='plain', axis='y')\n",
        "sns.barplot(data=df_adverts, x=\"transmission\", y=\"kisi_basina_gsyh_tl\", hue=\"fuel\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c458630>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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URNxE5WbNFcAZxVQYIuLzwDSgBZiUmU+tR5ySJElSKWp5MNCZwHeBV4BrgBHA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\nkFsHRR5hAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rwX0a7hvLeyO",
        "colab_type": "code",
        "outputId": "83b9f42e-0fa1-4825-ff09-d6a3979409d6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Average Electricity Consumption per head for fuel type\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.barplot(data=df_adverts, x=\"fuel\", y=\"kisi_basina_tuketilen_elektrik_kwh\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c369278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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J4F13aai6tqoubrZvBi4HdgOOAM5sTjsTeFqzfQRwVg18Bdgxya7AIcDSqlrXDGdZChw6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\ngg==\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S9q61aumPlUT",
        "colab_type": "code",
        "outputId": "12746034-c9ce-41e2-b03f-0bf77530306f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "# Ratio of adverts in terms of GDP per head\n",
        "\n",
        "sns.set_style(\"whitegrid\", {'axes.grid' : True})\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.ticklabel_format(style='plain', axis='y')\n",
        "plt.ticklabel_format(style='plain', axis='x')\n",
        "sns.distplot(df_adverts.kisi_basina_gsyh_tl, norm_hist=True, kde=False, bins=20)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c2e0be0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Ur5GsXLlSDodDPp9PwWBQiURCkUhE4XBYS5YsGXNOh8OhFStWqL29XZLU2toq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\nYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hCNPJSewKSf0",
        "colab_type": "code",
        "outputId": "6eda0e35-fafb-41c7-d604-6c8c35ff40d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "df_adverts.plot(x='trafik_kaza_sayisi', y='price', kind='hist')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c1d30b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IgMuXL1NbW0t4eLhn15M3evfuTXl5OREREZSXl9OrVy/gSgCVlZV5pisrK8Nut2O32zl6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\nAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T8NO8cuEffQH",
        "colab_type": "code",
        "outputId": "96f6ac79-9bb8-4181-d36b-c8a812536f49",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "plt.hist(df_adverts[\"price\"]) #plotting the number of passengers\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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lclFVVcXo0aN9h5r19fXExMRcsc5v++1t/YHUWVZWxsSJE7n++uuBwTmXoZi3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\nSUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p7UR0WxIXhge",
        "colab_type": "code",
        "outputId": "bf018df6-0b3c-4c53-ae42-9f5ca2e0a511",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "df_adverts.plot(x='year', y='price', kind='hist', bins=7)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053c0d8550>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vGMvMzOz38UuXLsXSpUtvGI+Pj0d8fLySmERENAQUFcfJkyfxwQcfQKPRuDoPERF5OEWX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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B6EefIp3O5hI",
        "colab_type": "code",
        "outputId": "c7b0093c-295d-4339-c51f-ee30cc814f23",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "plt.scatter(df_adverts.price, df_adverts.motorlu_tasit_sayisi, s=100)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f053c065518>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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UhKysLNhsNpSXl6OwsBAAUFhYiA8//BAAvMslSUJ2djZaWlpQX1+P/fv3Y9q0aRgwYACS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\nAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yGhAh89GPe0e",
        "colab_type": "code",
        "outputId": "79c0e27f-2cf2-4ca8-f1b1-429a07225abf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "plt.scatter(df_adverts.trafik_kaza_sayisi, df_adverts.price, s=100)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f053c039908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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hcrDSsokBe8/WeCcgUKc8IYJRjx2ET766ZvePXMrBb9dRE/NwaDHH5il8V1Bu9uJKy1RD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\nhAiCEgohhBBB/H+H7Q6ggfdZgwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GKb36ZgzbLRu",
        "colab_type": "code",
        "outputId": "7af92d22-e752-44c8-d504-c5bf0b4ecd95",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        }
      },
      "source": [
        "plt.scatter(df_adverts.turist_sayisi, df_adverts.price, s=100)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f053bf9afd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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oLJbOjlWLxcKIESOAzhZFfX29rV59fT0Gg6FHudls7rW8q769awghRCBQNY6i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\nCGNPflAAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AGwNIiZfUhH8",
        "colab_type": "code",
        "outputId": "5f11600e-52dc-4018-8bc9-219e2ef94c74",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 156
        }
      },
      "source": [
        "price_per_city = df_adverts.groupby(by=\"city\").mean()[\"price\"].sort_values(ascending=False)[:5]\n",
        "print(price_per_city)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "city\n",
            "Erzincan    98782.250000\n",
            "Bartın      96500.000000\n",
            "Aksaray     86693.333333\n",
            "Bitlis      79583.333333\n",
            "Iğdır       77166.666667\n",
            "Name: price, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4BXPRHsfWess",
        "colab_type": "code",
        "outputId": "6b71071f-b58e-4b39-949e-d6541638f777",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "price_per_city.plot(kind=\"barh\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053bf554a8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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09HTl5eU1eh+vvfZaE1QGAGhKfhVG7dq109q1a/XRRx9pxowZWrx4cYO3NcbI6/Vq2bJl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\nIwCAdf8HmlyF5OEWzWwAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TWDW6k0wZQMj",
        "colab_type": "code",
        "outputId": "04caf9fa-ae3a-40d5-a021-b3b4f5dfc10d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        }
      },
      "source": [
        "price_by_model = df_adverts.groupby(by=\"model\").mean()[\"price\"].sort_values(ascending=False)\n",
        "print(price_by_model)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "model\n",
            "Talisman        145977.475000\n",
            "Grand Scenic     94500.000000\n",
            "Megane           93409.607094\n",
            "Scenic           83107.142857\n",
            "Latitude         78375.714286\n",
            "Clio             63974.039068\n",
            "Fluence          63703.569079\n",
            "Symbol           49785.560701\n",
            "Espace           30000.000000\n",
            "Name: price, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t4PPYr4WZjVB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# accidents_by_model.plot(kind=\"barh\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sbhoiwsxFfNh",
        "colab_type": "code",
        "outputId": "779c1ef1-772a-4b83-a66c-193e6c3e0ea1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        }
      },
      "source": [
        "df_adverts.plot(x='price', y='year', kind='scatter')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053bf10208>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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uxV8TIoQQYmQRfechhBBC9CfhIYQQwjAJDyGEEIZJeAghhDBMwkMIIYRhEh5C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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uhsRVwK9JNAP",
        "colab_type": "code",
        "outputId": "87d9da7f-2d07-40c2-eb48-6b40c901ba04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        }
      },
      "source": [
        "df_adverts.plot(x='gsyh_bin_tl',y='price',  kind='scatter')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053be9bc88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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rxcM44WbVe3sZFqEVmkeqQ/Fw0lCn2MNJQ/0yVbi8lnttC19cqP5yqUt3vs3C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\nRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7CeZxB5EaZJC",
        "colab_type": "text"
      },
      "source": [
        "# **Describing The Data**\n",
        "\n",
        "\n",
        "```\n",
        "```\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iuekE5W6amg8",
        "colab_type": "code",
        "outputId": "a1a6a61f-cbf1-4206-a3c8-d19211452610",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        }
      },
      "source": [
        "df_adverts.columns"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['city', 'price', 'make', 'model', 'version', 'year', 'fuel',\n",
              "       'transmission', 'km', 'car_type', 'horse_power', 'engine_displacement',\n",
              "       'color', 'bin_kisiye_dusen_otomobil', 'gsyh_bin_tl',\n",
              "       'kisi_basina_gsyh_dolar', 'kisi_basina_gsyh_tl',\n",
              "       'kisi_basina_tuketilen_elektrik_kwh', 'kitap_sayisi',\n",
              "       'konut_satisi_toplam', 'motorlu_tasit_sayisi',\n",
              "       'okuma_yazma_bilme_orani', 'otomobil_sayisi',\n",
              "       'toplam_ihracat_bin_dolar', 'toplam_ithalat_bin_dolar',\n",
              "       'trafik_kaza_sayisi', 'turist_sayisi'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3H9hjtkfazDU",
        "colab_type": "code",
        "outputId": "0ab73cc1-b6df-4e2b-9510-fbd7ab4c65c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        }
      },
      "source": [
        "df_adverts.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>price</th>\n",
              "      <th>year</th>\n",
              "      <th>km</th>\n",
              "      <th>horse_power</th>\n",
              "      <th>engine_displacement</th>\n",
              "      <th>bin_kisiye_dusen_otomobil</th>\n",
              "      <th>gsyh_bin_tl</th>\n",
              "      <th>kisi_basina_gsyh_dolar</th>\n",
              "      <th>kisi_basina_gsyh_tl</th>\n",
              "      <th>kisi_basina_tuketilen_elektrik_kwh</th>\n",
              "      <th>kitap_sayisi</th>\n",
              "      <th>konut_satisi_toplam</th>\n",
              "      <th>motorlu_tasit_sayisi</th>\n",
              "      <th>okuma_yazma_bilme_orani</th>\n",
              "      <th>otomobil_sayisi</th>\n",
              "      <th>toplam_ihracat_bin_dolar</th>\n",
              "      <th>toplam_ithalat_bin_dolar</th>\n",
              "      <th>trafik_kaza_sayisi</th>\n",
              "      <th>turist_sayisi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4.292000e+03</td>\n",
              "      <td>4292.000000</td>\n",
              "      <td>4.292000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>67202.368826</td>\n",
              "      <td>2015.253495</td>\n",
              "      <td>84011.274464</td>\n",
              "      <td>95.202703</td>\n",
              "      <td>1445.476934</td>\n",
              "      <td>172.822460</td>\n",
              "      <td>4.154391e+08</td>\n",
              "      <td>13043.158201</td>\n",
              "      <td>47586.593896</td>\n",
              "      <td>3178.770037</td>\n",
              "      <td>8.089020e+05</td>\n",
              "      <td>114886.646319</td>\n",
              "      <td>1.998522e+06</td>\n",
              "      <td>97.374713</td>\n",
              "      <td>1.333839e+06</td>\n",
              "      <td>3.365531e+07</td>\n",
              "      <td>4.694777e+07</td>\n",
              "      <td>9252.728099</td>\n",
              "      <td>5.572719e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>21216.056214</td>\n",
              "      <td>1.762276</td>\n",
              "      <td>60437.322888</td>\n",
              "      <td>17.593666</td>\n",
              "      <td>134.787547</td>\n",
              "      <td>47.752768</td>\n",
              "      <td>4.249275e+08</td>\n",
              "      <td>4512.467207</td>\n",
              "      <td>16463.700038</td>\n",
              "      <td>1338.550262</td>\n",
              "      <td>5.714962e+05</td>\n",
              "      <td>95345.308774</td>\n",
              "      <td>1.714635e+06</td>\n",
              "      <td>1.413137</td>\n",
              "      <td>1.226739e+06</td>\n",
              "      <td>3.894063e+07</td>\n",
              "      <td>5.575038e+07</td>\n",
              "      <td>5591.166301</td>\n",
              "      <td>6.423789e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>21500.000000</td>\n",
              "      <td>2013.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>898.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>2.787034e+06</td>\n",
              "      <td>3489.000000</td>\n",
              "      <td>12729.000000</td>\n",
              "      <td>681.000000</td>\n",
              "      <td>4.660300e+04</td>\n",
              "      <td>159.000000</td>\n",
              "      <td>9.235000e+03</td>\n",
              "      <td>91.210000</td>\n",
              "      <td>2.156000e+03</td>\n",
              "      <td>2.080000e+02</td>\n",
              "      <td>2.950000e+02</td>\n",
              "      <td>163.000000</td>\n",
              "      <td>2.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>53000.000000</td>\n",
              "      <td>2014.000000</td>\n",
              "      <td>37975.000000</td>\n",
              "      <td>86.250000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>4.517664e+07</td>\n",
              "      <td>8806.000000</td>\n",
              "      <td>32127.000000</td>\n",
              "      <td>2609.000000</td>\n",
              "      <td>2.990190e+05</td>\n",
              "      <td>29041.000000</td>\n",
              "      <td>4.049790e+05</td>\n",
              "      <td>97.450000</td>\n",
              "      <td>2.163760e+05</td>\n",
              "      <td>1.362409e+06</td>\n",
              "      <td>9.085480e+05</td>\n",
              "      <td>3944.000000</td>\n",
              "      <td>2.413300e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>63250.000000</td>\n",
              "      <td>2015.000000</td>\n",
              "      <td>79000.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>192.000000</td>\n",
              "      <td>1.914680e+08</td>\n",
              "      <td>12344.000000</td>\n",
              "      <td>45034.000000</td>\n",
              "      <td>2609.000000</td>\n",
              "      <td>4.433800e+05</td>\n",
              "      <td>75672.000000</td>\n",
              "      <td>1.395159e+06</td>\n",
              "      <td>97.860000</td>\n",
              "      <td>7.656570e+05</td>\n",
              "      <td>8.904320e+06</td>\n",
              "      <td>9.118027e+06</td>\n",
              "      <td>10376.000000</td>\n",
              "      <td>5.811170e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>76000.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>120000.000000</td>\n",
              "      <td>110.000000</td>\n",
              "      <td>1461.000000</td>\n",
              "      <td>192.000000</td>\n",
              "      <td>9.701890e+08</td>\n",
              "      <td>17827.000000</td>\n",
              "      <td>65041.000000</td>\n",
              "      <td>3576.000000</td>\n",
              "      <td>1.393875e+06</td>\n",
              "      <td>234055.000000</td>\n",
              "      <td>4.173312e+06</td>\n",
              "      <td>97.860000</td>\n",
              "      <td>2.887581e+06</td>\n",
              "      <td>8.505076e+07</td>\n",
              "      <td>1.205786e+08</td>\n",
              "      <td>15497.000000</td>\n",
              "      <td>1.343299e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>206900.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "      <td>789000.000000</td>\n",
              "      <td>575.000000</td>\n",
              "      <td>6000.000000</td>\n",
              "      <td>262.000000</td>\n",
              "      <td>9.701890e+08</td>\n",
              "      <td>17827.000000</td>\n",
              "      <td>65041.000000</td>\n",
              "      <td>8779.000000</td>\n",
              "      <td>1.576875e+06</td>\n",
              "      <td>234055.000000</td>\n",
              "      <td>4.173312e+06</td>\n",
              "      <td>98.800000</td>\n",
              "      <td>2.887581e+06</td>\n",
              "      <td>8.505076e+07</td>\n",
              "      <td>1.205786e+08</td>\n",
              "      <td>15497.000000</td>\n",
              "      <td>1.343299e+07</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               price         year  ...  trafik_kaza_sayisi  turist_sayisi\n",
              "count    4292.000000  4292.000000  ...         4292.000000   4.292000e+03\n",
              "mean    67202.368826  2015.253495  ...         9252.728099   5.572719e+06\n",
              "std     21216.056214     1.762276  ...         5591.166301   6.423789e+06\n",
              "min     21500.000000  2013.000000  ...          163.000000   2.000000e+00\n",
              "25%     53000.000000  2014.000000  ...         3944.000000   2.413300e+04\n",
              "50%     63250.000000  2015.000000  ...        10376.000000   5.811170e+05\n",
              "75%     76000.000000  2017.000000  ...        15497.000000   1.343299e+07\n",
              "max    206900.000000  2019.000000  ...        15497.000000   1.343299e+07\n",
              "\n",
              "[8 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y7uPYG0Qe_-t",
        "colab_type": "code",
        "outputId": "c17fe2c5-c810-4f99-cf18-5134dc2721e7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "df_adverts.dropna(inplace=True)\n",
        "df_adverts.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4292, 27)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gmVwSF2TfNtJ",
        "colab_type": "code",
        "outputId": "f231934d-1af9-4c1e-be03-0f5b835ebec6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        }
      },
      "source": [
        "df_adverts.dtypes"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "city                                   object\n",
              "price                                   int64\n",
              "make                                   object\n",
              "model                                  object\n",
              "version                                object\n",
              "year                                    int64\n",
              "fuel                                   object\n",
              "transmission                           object\n",
              "km                                      int64\n",
              "car_type                               object\n",
              "horse_power                             int64\n",
              "engine_displacement                   float64\n",
              "color                                  object\n",
              "bin_kisiye_dusen_otomobil             float64\n",
              "gsyh_bin_tl                           float64\n",
              "kisi_basina_gsyh_dolar                float64\n",
              "kisi_basina_gsyh_tl                   float64\n",
              "kisi_basina_tuketilen_elektrik_kwh    float64\n",
              "kitap_sayisi                          float64\n",
              "konut_satisi_toplam                   float64\n",
              "motorlu_tasit_sayisi                  float64\n",
              "okuma_yazma_bilme_orani               float64\n",
              "otomobil_sayisi                       float64\n",
              "toplam_ihracat_bin_dolar              float64\n",
              "toplam_ithalat_bin_dolar              float64\n",
              "trafik_kaza_sayisi                    float64\n",
              "turist_sayisi                         float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9B-6a3ptn7Eq",
        "colab_type": "code",
        "outputId": "04f3471e-ba04-4782-a356-efa8a527c105",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "source": [
        "df_adverts.year.value_counts() "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2013    990\n",
              "2016    852\n",
              "2014    798\n",
              "2018    628\n",
              "2017    545\n",
              "2015    469\n",
              "2019     10\n",
              "Name: year, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Pxw4wBxpkkD",
        "colab_type": "code",
        "outputId": "110cef0a-2dfc-4f7c-f1bf-9fe76a1752f5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        }
      },
      "source": [
        "df_adverts.model.value_counts() "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Clio            1459\n",
              "Fluence         1216\n",
              "Symbol           799\n",
              "Megane           733\n",
              "Talisman          40\n",
              "Latitude          35\n",
              "Scenic             7\n",
              "Grand Scenic       2\n",
              "Espace             1\n",
              "Name: model, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5PgPyBQRgPn2",
        "colab_type": "text"
      },
      "source": [
        "# **HYPOTHESIS TESTING**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YzwIcstPgSa-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from scipy import stats"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_AxpS4SigjWF",
        "colab_type": "text"
      },
      "source": [
        "## **Does colour of the car effect car prices?**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dO7UBMeyY9jo",
        "colab_type": "text"
      },
      "source": [
        "**Null hypothesis:** Color has no effect on car prices.\n",
        "\n",
        "**Alternative hypothesis:** Color effects car prices.\n",
        "\n",
        "Applied t-test and one-way ANOVA to see if color has an effect on car prices. According to both p-values, null hypothesis should be rejected. Which means color has an effect on car prices."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x0d9OY2_gp57",
        "colab_type": "code",
        "outputId": "54d45d73-a272-49bb-d59b-af55b3165450",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "\n",
        "test_type=\"price\"\n",
        "beyaz1 = df_adverts[df_adverts[\"color\"] == \"Beyaz\"][test_type]\n",
        "other1 = df_adverts[df_adverts[\"color\"] != \"Beyaz\"][test_type]\n",
        "stats.ttest_ind(beyaz1, other1, equal_var=False)\n",
        "\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ttest_indResult(statistic=-10.603791382135416, pvalue=1.2874747164887e-25)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FFWTfhWyhnSw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_type = \"price\"\n",
        "beyaz = df_adverts[df_adverts[\"color\"] == 'Beyaz'][test_type]\n",
        "siyah = df_adverts[df_adverts[\"color\"] == 'Siyah'][test_type]\n",
        "gri = df_adverts[df_adverts[\"color\"] == 'Gri'][test_type]\n",
        "ggri = df_adverts[df_adverts[\"color\"] == 'Gümüş Gri'][test_type]\n",
        "sarı = df_adverts[df_adverts[\"color\"] == 'Sarı'][test_type]\n",
        "kahverengi= df_adverts[df_adverts[\"color\"] == 'Kahverengi'][test_type]\n",
        "kirmizi = df_adverts[df_adverts[\"color\"] == 'Kırmızı'][test_type]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PQegrZ3ZlmsL",
        "colab_type": "code",
        "outputId": "1b1c9c72-850b-4af5-c648-1d6ae2443475",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "stats.f_oneway(beyaz,siyah,gri,sarı,kahverengi,kirmizi,ggri)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "F_onewayResult(statistic=26.26788964863978, pvalue=7.822228952161735e-31)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E-JPm8JEZ6XO",
        "colab_type": "text"
      },
      "source": [
        "**Plot for colors:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lo1ea9y3ll5j",
        "colab_type": "code",
        "outputId": "09670d80-ccd1-4ca8-c18e-806f53b914be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "fig, ax = plt.subplots(1,1, figsize=(10,7))\n",
        "\n",
        "sns.kdeplot(beyaz, shade=True, ax=ax, label=\"beyaz\")\n",
        "sns.kdeplot(siyah, shade=True, ax=ax, label=\"siyah\")\n",
        "sns.kdeplot(kirmizi, shade=True, ax=ax, label=\"kirmizi\")\n",
        "sns.kdeplot(gri, shade=True, ax=ax, label=\"gri\")\n",
        "sns.kdeplot(sarı, shade=True, ax=ax, label=\"sarı\")\n",
        "sns.kdeplot(sarı, shade=True, ax=ax, label=\"kahverengi\")\n",
        "\n",
        "plt.title(\"Colors\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BggXxqljRnSR2QqQpd8CNRVcEQLYj+fE2rxurv5m9zmPvNnEkY2xW3m5R2NJS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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VXUoFhGKoIrA",
        "colab_type": "text"
      },
      "source": [
        "## **Does model of the car effect car prices?** "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lMOrSGd7aEO7",
        "colab_type": "text"
      },
      "source": [
        "**Null hypothesis:** Model of the car has no effect on car prices.\n",
        "\n",
        "**Alternative hypothesis:** Model of the car effects car prices.\n",
        "\n",
        "Applied t-test and one-way ANOVA  to see if model has an effect on car prices. According to both p-values, null hypothesis should be rejected. Which means model of the car also effects car prices."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UvdsKq9vogOm",
        "colab_type": "code",
        "outputId": "9caadba2-272e-4fe7-bdab-939369b08bb3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "test_type=\"price\"\n",
        "year1 = df_adverts[df_adverts[\"model\"] == \"Clio\"][test_type]\n",
        "other2 = df_adverts[df_adverts[\"model\"] != \"Clio\"][test_type]\n",
        "stats.ttest_ind(year1, other2, equal_var=False)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ttest_indResult(statistic=-8.424757911230618, pvalue=4.89603979366765e-17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1RYp3MRQp-he",
        "colab_type": "code",
        "outputId": "a402ceb9-061a-4ee4-ae91-adbc71399487",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "#Year ve price arasındaki correlation'a bakmak için ama çok da gerekli değil. \n",
        "data1=df_adverts['price']\n",
        "data2=df_adverts['year']\n",
        "from scipy.stats import pearsonr\n",
        "corr, p = pearsonr(data1, data2)\n",
        "print(corr)\n",
        "print(p)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.6078779430395936\n",
            "0.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ESajICRVkkC8",
        "colab_type": "code",
        "outputId": "c08fd968-8ade-4505-a74b-8304d861551b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "test_type=\"price\"\n",
        "clio = df_adverts[df_adverts[\"model\"] == \"Clio\"][test_type]\n",
        "fluence = df_adverts[df_adverts[\"model\"] == \"Fluence\"][test_type]\n",
        "symbol = df_adverts[df_adverts[\"model\"] == \"Symbol\"][test_type]\n",
        "megane = df_adverts[df_adverts[\"model\"] == \"Megane\"][test_type]\n",
        "talisman = df_adverts[df_adverts[\"model\"] == \"Talisman\"][test_type]\n",
        "latitude = df_adverts[df_adverts[\"model\"] == \"Latitude\"][test_type]\n",
        "scenic = df_adverts[df_adverts[\"model\"] == \"Scenic\"][test_type]\n",
        "stats.f_oneway(clio,fluence,symbol,megane,talisman,latitude)\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "F_onewayResult(statistic=979.3860201671672, pvalue=0.0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Hd7Z4T0MapZS",
        "colab_type": "text"
      },
      "source": [
        "**Plot for models:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WOC8zkUEktEY",
        "colab_type": "code",
        "outputId": "5e7da54c-866f-4b49-fa61-64c34e10d6fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "fig, ax = plt.subplots(1,1, figsize=(10,7))\n",
        "\n",
        "sns.kdeplot(clio, shade=True, ax=ax, label=\"Clio\")\n",
        "sns.kdeplot(megane, shade=True, ax=ax, label=\"Megane\")\n",
        "sns.kdeplot(fluence, shade=True, ax=ax, label=\"Fluence\")\n",
        "sns.kdeplot(symbol, shade=True, ax=ax, label=\"Symbol\")\n",
        "sns.kdeplot(talisman, shade=True, ax=ax, label=\"Talisman\")\n",
        "sns.kdeplot(latitude, shade=True, ax=ax, label=\"Latitude\")\n",
        "sns.kdeplot(scenic, shade=True, ax=ax, label=\"Scenic\")\n",
        "\n",
        "plt.title(\"Models\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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XR/fu3Tlw4ADvv/9+k/du7B7RolAn0g74j3oAMGLqd55butmDgU9ERE6VmpoaHE490c9+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mVhrPvgCsW4CiqMqCzn3dXrWPbku+SWXMFlCz24OP8E3WFkFz2VHyGRO4Ps7T8m758f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\nTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LW_mo2L2nA1A",
        "colab_type": "text"
      },
      "source": [
        "## **Does fuel type effect car prices?**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sbKbk4yHa2mo",
        "colab_type": "text"
      },
      "source": [
        "**Null hypothesis:** Fuel type has no effect on car prices.\n",
        "\n",
        "**Alternative hypothesis:** Fuel type effects car prices.\n",
        "\n",
        "Applied one-way ANOVA to see if fuel type has an effect on car prices.Since p-value is smaller than 0.05, null hypothesis can be rejected which suggests that fuel type effects car prices."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CLYzdUbQnIIq",
        "colab_type": "code",
        "outputId": "92bb84b6-0e3c-47db-8d5e-34426a50360f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "test_type=\"price\"\n",
        "benzinlpg = df_adverts[df_adverts[\"fuel\"] == \"Benzin & LPG\"][test_type]\n",
        "dizel = df_adverts[df_adverts[\"fuel\"] == \"Dizel\"][test_type]\n",
        "benzin = df_adverts[df_adverts[\"fuel\"] == \"Benzin\"][test_type]\n",
        "stats.f_oneway(benzinlpg,dizel,benzin)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "F_onewayResult(statistic=8.245929588869465, pvalue=0.00026650523186723347)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qwaYwGXcbKFE",
        "colab_type": "text"
      },
      "source": [
        "**Plot for fuel types:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AeOEvsh9nKz5",
        "colab_type": "code",
        "outputId": "2e4e68e6-564f-4f72-c10e-fc31131b4c46",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "fig, ax = plt.subplots(1,1, figsize=(10,7))\n",
        "\n",
        "sns.kdeplot(benzinlpg, shade=True, ax=ax, label=\"Benzin & LPG\")\n",
        "sns.kdeplot(dizel, shade=True, ax=ax, label=\"Dizel\")\n",
        "sns.kdeplot(benzin, shade=True, ax=ax, label=\"Benzin\")\n",
        "\n",
        "plt.title(\"Fuels\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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RLTV7qI2k5VizFexpOn1CREQ6UWAnQ9JDb+wjOd7G/Glp7D22DYCMuAkBr01u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Z4HiW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\nmvgP0YMNp04NNe4AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aT-2UwWgoB6D",
        "colab_type": "text"
      },
      "source": [
        "## **Do car prices decrease as number of accidents increase in a city?**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gKtZ7pEybRtt",
        "colab_type": "text"
      },
      "source": [
        "Pearson Correlation is used to examine the relationship between car prices and accidents in a city. Since correlation is so close to zero, it can be suggested that accidents and car prices have no relationship. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xw9ag6lmoPjs",
        "colab_type": "code",
        "outputId": "298500ae-51f3-42ef-f4c1-a8fb3d56f34b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "data1=df_adverts['price']\n",
        "data2=df_adverts['trafik_kaza_sayisi']\n",
        "from scipy.stats import pearsonr\n",
        "corr, p = pearsonr(data1, data2)\n",
        "print(corr)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.03971293131311949\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OLK5cZWfkC1w",
        "colab_type": "code",
        "outputId": "0857e783-50f1-45d3-9230-651a42cef561",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "plt.scatter(data1, data2, alpha=0.5)\n",
        "plt.show()\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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cNq+hnH7LValJ8/tS0pEIM2a5vK8jXhyekBTnX8s3HIEkFtLJFVyWtsaIhnRM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\nAgICxvD/A+YGijN7aNUwAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nEatb0gBw_-P",
        "colab_type": "text"
      },
      "source": [
        "## Does electricity consumption per head of a city effects car price?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VbjEWKhxyJ3n",
        "colab_type": "text"
      },
      "source": [
        "** Null Hypothesis**: Electricity consumption per head of a city has no effect on car price.\n",
        "\n",
        "**Alternative Hypothesis:** Electricity consumption per head of a city affects car price.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HR0k9Vx3xJjj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "electricity_consumption_median = np.median(np.median(df_adverts.kisi_basina_tuketilen_elektrik_kwh.unique()))\n",
        "over_median = df_adverts[df_adverts.kisi_basina_tuketilen_elektrik_kwh > electricity_consumption_median][\"price\"]  \n",
        "below_median = df_adverts[df_adverts.kisi_basina_tuketilen_elektrik_kwh <= electricity_consumption_median][\"price\"]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RWtErnfbx3QS",
        "colab_type": "code",
        "outputId": "910c7d0e-9891-45eb-a84c-273bd68a2224",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "stats.ttest_ind(below_median, over_median, equal_var=False)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ttest_indResult(statistic=1.6699302405803518, pvalue=0.09517170757758027)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lPe7R2TCyFOs",
        "colab_type": "text"
      },
      "source": [
        "If we set the significance level as 0.05, we cannot reject the null hypothesis. In addition, the test score is positive which indicates that the average price for the cities where electricity consumption per head below median, is greater than the cities where electricity consumption per head over median."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ADAfoFe8y7uZ",
        "colab_type": "code",
        "outputId": "ebca00a5-fac3-4f97-bbee-9f67c63677ad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        }
      },
      "source": [
        "fig = plt.figure()\n",
        "axes = fig.add_axes([0, 0, 1, 1]) # left, bottom, width, height\n",
        "rect = axes.bar([\"Over Median\", \"Below Median\"], [over_median.mean(), below_median.mean()])\n",
        "axes.set_ylim([65000, 70000])\n",
        "axes.set_xlabel(\"Electricty consumption per head\")\n",
        "axes.set_ylabel(\"Average price\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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jxw4++eQTHA4HN9xwA127dm2MtomIiEgD+f2O/dlnn2XSpEkcPHiQ0tJSUlNTee655xqj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\n2EVERGxEwS4iImIj/w/VoNXSYy8+PAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "imdPfU_OrlwL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YOSlV6c_zwBy",
        "colab_type": "code",
        "outputId": "5c9e3fb4-c16e-4168-f541-6240b49c2387",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "fig, ax = plt.subplots(1,1, figsize=(10,7))\n",
        "\n",
        "sns.kdeplot(over_median, shade=True, ax=ax, label=\"Over Median\")\n",
        "sns.kdeplot(below_median, shade=True, ax=ax, label=\"Below Median\")\n",
        "\n",
        "plt.title(\"Price vs Electricty consumption per head\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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8Ko/bZg/vkxqFEKLfTfxlt3fX+ltcXBw1NTVUV1ejKAqrVq1ixYoVvW4nJCSE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\nREREZJj4/2m/dw3mAo2XAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wo-dFC-Yrw81",
        "colab_type": "text"
      },
      "source": [
        "##Does number of cars per city affects car price?\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cGMb4-D-2hXO",
        "colab_type": "text"
      },
      "source": [
        "**Null Hypothesis:** Number of cars in a city has no effect on car price.\n",
        "\n",
        "**Alternative Hypothesis:** Number of cars in a city affects car prices.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MNhxGkorb9au",
        "colab_type": "text"
      },
      "source": [
        "Pearson Correlation is used to examine the relationship between car prices and number of cars per city. Since correlation is so close to zero, it can be suggested that number of cars per city and car prices have no relationship. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z6WjA091sNAG",
        "colab_type": "code",
        "outputId": "537d5319-08f3-46d4-b85f-65c5c4f8449e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "data1=df_adverts['price']\n",
        "data2=df_adverts['otomobil_sayisi']\n",
        "from scipy.stats import pearsonr\n",
        "corr, p = pearsonr(data1, data2)\n",
        "print(corr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.035707211318044794\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HtWfEcJv4mGk",
        "colab_type": "code",
        "outputId": "937626e0-951b-4320-ac46-5780776e97f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        }
      },
      "source": [
        "df_adverts.plot(x='otomobil_sayisi', y='price', kind='scatter')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f053a347b38>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "output_type": "display_data",
          "data": {
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