eda_housing_nairobi.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Mburu-Elvis/NairobiRentPrices/blob/main/eda_housing_nairobi.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OpfOCrag93o5"
      },
      "source": [
        "## Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LHe3rgoc92wc"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8Eb8xeCz1hH4"
      },
      "outputs": [],
      "source": [
        "url = \"https://raw.githubusercontent.com/Mburu-Elvis/NairobiRentPrices/main/housing_data.csv\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tXD7JPZfdC9b"
      },
      "outputs": [],
      "source": [
        "data = pd.read_csv(url)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "m83PeWH52IkB",
        "outputId": "d2aa0fb2-5c58-4d7c-96a7-4f73293fde53"
      },
      "outputs": [
        {
          "data": {
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              "    .dataframe thead th {\n",
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              "    }\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>Location</th>\n",
              "      <th>Bedrooms</th>\n",
              "      <th>Bathrooms</th>\n",
              "      <th>Parking</th>\n",
              "      <th>Price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Machakos</td>\n",
              "      <td>Syokimau/Mulolongo</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>100000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Westlands</td>\n",
              "      <td>Runda</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>180000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Spring Valley</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>380000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Thindigua</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>55000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Westlands</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>265000.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         City             Location  Bedrooms  Bathrooms  Parking     Price\n",
              "0    Machakos   Syokimau/Mulolongo       4.0        4.0      NaN  100000.0\n",
              "1   Westlands                Runda       3.0        3.0      2.0  180000.0\n",
              "2     Nairobi        Spring Valley       5.0        5.0      4.0  380000.0\n",
              "3     Nairobi            Thindigua       3.0        3.0      NaN   55000.0\n",
              "4     Nairobi            Westlands       4.0        4.0      4.0  265000.0"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jtV_hjAa5o2d"
      },
      "source": [
        "## Exploratory Data Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xodYp62k8YrP",
        "outputId": "f8c17e33-9303-4f3b-ea9d-8a3cf954c2a2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Data columns (total 6 columns):\n",
            " #   Column     Non-Null Count   Dtype  \n",
            "---  ------     --------------   -----  \n",
            " 0   City       206389 non-null  object \n",
            " 1   Location   206386 non-null  object \n",
            " 2   Bedrooms   225193 non-null  float64\n",
            " 3   Bathrooms  221926 non-null  float64\n",
            " 4   Parking    107061 non-null  float64\n",
            " 5   Price      230942 non-null  float64\n",
            "dtypes: float64(4), object(2)\n",
            "memory usage: 10.6+ MB\n"
          ]
        }
      ],
      "source": [
        "data.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2mUH-AKO6egD"
      },
      "source": [
        "### City"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ixyGZt2S5-Gh",
        "outputId": "08c264c4-eede-4a8b-9cd5-237c39eadd15"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              " Nairobi       190877\n",
              "Nairobi          8075\n",
              "Westlands        1143\n",
              " Mombasa          464\n",
              "Nyali             232\n",
              "                ...  \n",
              "savanah             1\n",
              "Golf's              1\n",
              "Deliverance         1\n",
              "EASTATE             1\n",
              "Fig                 1\n",
              "Name: City, Length: 448, dtype: int64"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['City'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oXrNl6-UB0BJ"
      },
      "outputs": [],
      "source": [
        "data['City'] = data['City'].str.strip(' ')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nDlOB8RW7w7E"
      },
      "outputs": [],
      "source": [
        "for i in range(0, 231057):\n",
        "  if data['City'].iloc[i] == 'Westlands':\n",
        "    data.at[i, 'City'] = 'Nairobi'\n",
        "    data.at[i, 'Location'] = 'Westlands'\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cnfyE66m9Qa4",
        "outputId": "81c49cd6-6e5b-478e-fa23-29fed967dd96"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Nairobi     200174\n",
              "Mombasa        477\n",
              "Nyali          233\n",
              "West           182\n",
              "B              174\n",
              "             ...  \n",
              "EASTATE          1\n",
              "Shopping         1\n",
              "Mugumo           1\n",
              "Trm              1\n",
              "centre           1\n",
              "Name: City, Length: 429, dtype: int64"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['City'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "RNCJXjMT-13N",
        "outputId": "f439e1f9-548d-48f9-e512-9a2274080f17"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>City</th>\n",
              "      <th>Location</th>\n",
              "      <th>Bedrooms</th>\n",
              "      <th>Bathrooms</th>\n",
              "      <th>Parking</th>\n",
              "      <th>Price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Machakos</td>\n",
              "      <td>Syokimau/Mulolongo</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>100000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Westlands</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>180000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Spring Valley</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>380000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Thindigua</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>55000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nairobi</td>\n",
              "      <td>Westlands</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>265000.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       City             Location  Bedrooms  Bathrooms  Parking     Price\n",
              "0  Machakos   Syokimau/Mulolongo       4.0        4.0      NaN  100000.0\n",
              "1   Nairobi            Westlands       3.0        3.0      2.0  180000.0\n",
              "2   Nairobi        Spring Valley       5.0        5.0      4.0  380000.0\n",
              "3   Nairobi            Thindigua       3.0        3.0      NaN   55000.0\n",
              "4   Nairobi            Westlands       4.0        4.0      4.0  265000.0"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OUSemtRs_rN-"
      },
      "outputs": [],
      "source": [
        "data['City'].fillna('Nairobi', inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rRoJt1O6B8v0",
        "outputId": "04385dd0-701a-4b81-fbc1-8a5e0e875412"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Nairobi     224842\n",
              "Mombasa        477\n",
              "Nyali          233\n",
              "West           182\n",
              "B              174\n",
              "             ...  \n",
              "EASTATE          1\n",
              "Shopping         1\n",
              "Mugumo           1\n",
              "Trm              1\n",
              "centre           1\n",
              "Name: City, Length: 429, dtype: int64"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['City'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oGMFmDw3CZnI",
        "outputId": "9ed30240-b717-4d7d-a103-28271f01315d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Data columns (total 6 columns):\n",
            " #   Column     Non-Null Count   Dtype  \n",
            "---  ------     --------------   -----  \n",
            " 0   City       231057 non-null  object \n",
            " 1   Location   206386 non-null  object \n",
            " 2   Bedrooms   225193 non-null  float64\n",
            " 3   Bathrooms  221926 non-null  float64\n",
            " 4   Parking    107061 non-null  float64\n",
            " 5   Price      230942 non-null  float64\n",
            "dtypes: float64(4), object(2)\n",
            "memory usage: 10.6+ MB\n"
          ]
        }
      ],
      "source": [
        "data.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VjZxen2_C7zw",
        "outputId": "d3546908-2efd-46dd-e4f1-27a57a89847e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "180791"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.duplicated().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v0fNOTuiEIRC",
        "outputId": "f3808cda-1091-4112-97f1-2f6ee837bf4b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "4023"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.nunique().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "z5BRRN3UEWJe",
        "outputId": "e2ae5422-15c7-43cd-d91c-25149658069c"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Bedrooms</th>\n",
              "      <th>Bathrooms</th>\n",
              "      <th>Parking</th>\n",
              "      <th>Price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>225193.000000</td>\n",
              "      <td>2.219260e+05</td>\n",
              "      <td>1.070610e+05</td>\n",
              "      <td>2.309420e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>13.236788</td>\n",
              "      <td>1.256053e+02</td>\n",
              "      <td>2.430523e+01</td>\n",
              "      <td>8.868090e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1573.673088</td>\n",
              "      <td>4.934712e+04</td>\n",
              "      <td>3.502559e+03</td>\n",
              "      <td>5.224872e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>8.000000e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>1.500000e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>2.800000e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>360000.000000</td>\n",
              "      <td>2.323232e+07</td>\n",
              "      <td>1.121111e+06</td>\n",
              "      <td>1.550006e+10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Bedrooms     Bathrooms       Parking         Price\n",
              "count  225193.000000  2.219260e+05  1.070610e+05  2.309420e+05\n",
              "mean       13.236788  1.256053e+02  2.430523e+01  8.868090e+05\n",
              "std      1573.673088  4.934712e+04  3.502559e+03  5.224872e+07\n",
              "min         0.000000  0.000000e+00  0.000000e+00  0.000000e+00\n",
              "25%         2.000000  2.000000e+00  2.000000e+00  8.000000e+04\n",
              "50%         3.000000  3.000000e+00  2.000000e+00  1.500000e+05\n",
              "75%         4.000000  4.000000e+00  3.000000e+00  2.800000e+05\n",
              "max    360000.000000  2.323232e+07  1.121111e+06  1.550006e+10"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mtHzNWAH_uls"
      },
      "source": [
        "## Location\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "903sQihvGtIH",
        "outputId": "a89cbfbd-3940-466b-af2e-06cef15abb40"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Location\n",
            "Non-Null Count   Dtype \n",
            "--------------   ----- \n",
            "206386 non-null  object\n",
            "dtypes: object(1)\n",
            "memory usage: 1.8+ MB\n"
          ]
        }
      ],
      "source": [
        "data['Location'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "n-m7YUrlCKo2"
      },
      "outputs": [],
      "source": [
        "data['Location'] = data['Location'].str.strip(' ,')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b1R5Pa7-AzqY",
        "outputId": "b93a2461-2fa8-4718-a41c-6fb3ddd288c4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Lavington     35962\n",
              "Kilimani      26167\n",
              "Westlands     25451\n",
              "Kileleshwa    20980\n",
              "Runda         12770\n",
              "              ...  \n",
              "ONGATA            1\n",
              "Muthithi          1\n",
              "Green Park        1\n",
              "State             1\n",
              "GREENFIELD        1\n",
              "Name: Location, Length: 742, dtype: int64"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Location'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7nOqAsLnx0aj",
        "outputId": "40c851b8-a56f-49de-b13c-a2f838924748"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0    Lavington\n",
              "Name: Location, dtype: object"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Location'].mode()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-Dk9dHOM_Rsn"
      },
      "outputs": [],
      "source": [
        "impute_value = data['Location'].mode().iloc[0]\n",
        "\n",
        "data['Location'].fillna(impute_value, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yL_H3E63ABEZ",
        "outputId": "47ebad42-03f7-48c4-b071-749738675e28"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Location\n",
            "Non-Null Count   Dtype \n",
            "--------------   ----- \n",
            "231057 non-null  object\n",
            "dtypes: object(1)\n",
            "memory usage: 1.8+ MB\n"
          ]
        }
      ],
      "source": [
        "data['Location'].info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jtdZhfthCvHr"
      },
      "source": [
        "## Bedrooms"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NSiCKbisA_PB",
        "outputId": "b1ccf98f-91a6-47c9-fbe4-3d52ca457287"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Bedrooms\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "225193 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Bedrooms'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NJuJbGI3IWD-",
        "outputId": "d53a6fdb-172e-4ff8-cc35-41dad2416934"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "5864"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bedrooms'].isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AgOpDqs8C0Sr",
        "outputId": "2845b852-a5d6-4355-806b-ab5aa2db283a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    225193.000000\n",
              "mean         13.236788\n",
              "std        1573.673088\n",
              "min           0.000000\n",
              "25%           2.000000\n",
              "50%           3.000000\n",
              "75%           4.000000\n",
              "max      360000.000000\n",
              "Name: Bedrooms, dtype: float64"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bedrooms'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6rlo4Z6DI6Os"
      },
      "outputs": [],
      "source": [
        "data['Bedrooms'].fillna(data['Bedrooms'].median(), inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zyOS9BJVJGvD",
        "outputId": "5f6dd040-c7da-4395-c97b-02279c44467e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Data columns (total 6 columns):\n",
            " #   Column     Non-Null Count   Dtype  \n",
            "---  ------     --------------   -----  \n",
            " 0   City       231057 non-null  object \n",
            " 1   Location   231057 non-null  object \n",
            " 2   Bedrooms   231057 non-null  float64\n",
            " 3   Bathrooms  221926 non-null  float64\n",
            " 4   Parking    107061 non-null  float64\n",
            " 5   Price      230942 non-null  float64\n",
            "dtypes: float64(4), object(2)\n",
            "memory usage: 10.6+ MB\n"
          ]
        }
      ],
      "source": [
        "data.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "o8etcx0YDCLq",
        "outputId": "ef6e36f1-3e4d-47d0-9d8c-b21214b76e68"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Bedrooms'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yaxFOEBbGH1F"
      },
      "outputs": [],
      "source": [
        "from matplotlib.ticker import ScalarFormatter"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "TL_810geEESZ",
        "outputId": "dbb25b44-9f9a-4d6d-82d0-5c865867847c"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.scatter(data['Bedrooms'], data['Price'])\n",
        "plt.title('Bedrooms vs Price')\n",
        "plt.xlabel('Bedrooms')\n",
        "plt.ylabel('Price')\n",
        "plt.gca().xaxis.set_major_formatter(ScalarFormatter(useMathText=True))\n",
        "plt.gca().yaxis.set_major_formatter(ScalarFormatter(useMathText=True))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z5Swj6YTJU5h",
        "outputId": "522ff20c-2019-409d-c56a-19e384fe2b40"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Bedrooms\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "231057 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Bedrooms'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dYu05dJJGt2w",
        "outputId": "243c59c9-a821-43e3-e350-39338aef581c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2.0 4.0\n"
          ]
        }
      ],
      "source": [
        "Q1 = np.percentile(data['Bedrooms'], 25, method='midpoint')\n",
        "Q3 = np.percentile(data['Bedrooms'], 75, method='midpoint')\n",
        "\n",
        "IQR = Q3 -  Q1\n",
        "print(Q1, Q3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XVoVFK-3HqPU",
        "outputId": "9bf1b566-c174-44fc-f53c-c98defcd2679"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-1.0 7.0\n",
            "Lower bond values 0, Upper bond values 1902\n"
          ]
        }
      ],
      "source": [
        "upper =  Q3 + 1.5 * IQR\n",
        "lower =   Q1 - 1.5 * IQR\n",
        "upper_array = np.array(data['Bedrooms'] >= upper)\n",
        "lower_array = np.array(data['Bedrooms'] <= lower)\n",
        "\n",
        "print(lower, upper)\n",
        "print(f'Lower bond values {lower_array.sum()}, Upper bond values {upper_array.sum()}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ppQF2pxsKqWl",
        "outputId": "e9f08849-342c-40fb-ec0d-7332bedf5fd7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "3.0"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bedrooms'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U4St7OFkLppN",
        "outputId": "a4a88652-16d3-47c0-d17e-895defdd5779"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([False, False, False, ..., False, False, False])"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "upper_array"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0J3yAJ-BLuCY",
        "outputId": "fba0fafc-08e3-40e6-ec68-93ff618f66cd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([False,  True])"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "np.unique(upper_array)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hWM9pvfWL0Fj"
      },
      "outputs": [],
      "source": [
        "data.loc[upper_array, 'Bedrooms'] = data['Bedrooms'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0hm_r6BHNoiS",
        "outputId": "4aaae59c-e46f-4999-c315-6e91dc58c354"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    231057.000000\n",
              "mean          3.234250\n",
              "std           1.249039\n",
              "min           0.000000\n",
              "25%           2.000000\n",
              "50%           3.000000\n",
              "75%           4.000000\n",
              "max           6.000000\n",
              "Name: Bedrooms, dtype: float64"
            ]
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bedrooms'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "ei64QKVQNsQU",
        "outputId": "1be792cd-cb72-4241-e005-1828c181caa9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Bedrooms'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZwJLD0lEOL7s"
      },
      "source": [
        "## Bathrooms"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "grIYMpCzN6Ba",
        "outputId": "88913a11-da41-4b29-f7b5-89ca9130d4a5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Bathrooms\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "221926 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Bathrooms'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Sr6AP0W2Qrr9"
      },
      "outputs": [],
      "source": [
        "data['Bathrooms'].fillna(data['Bathrooms'].median(), inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gqy1oqTVQ4ON",
        "outputId": "487b5de8-46b9-4da5-d23d-503695072609"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Bathrooms\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "231057 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Bathrooms'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hedO-civOS-h",
        "outputId": "061f05ad-60e4-47cd-9d2b-ead81a898a7a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    2.310570e+05\n",
              "mean     1.207602e+02\n",
              "std      4.836223e+04\n",
              "min      0.000000e+00\n",
              "25%      2.000000e+00\n",
              "50%      3.000000e+00\n",
              "75%      4.000000e+00\n",
              "max      2.323232e+07\n",
              "Name: Bathrooms, dtype: float64"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bathrooms'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "pjMUpPN_OasZ",
        "outputId": "08dcddd8-8267-4ffe-d339-d7fc8d97e0e1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Bathrooms'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "yW3Z-n_NO47l",
        "outputId": "1abce0b7-9a00-4d84-b7ff-2ecbaf5f8856"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.scatter(data['Bathrooms'], data['Price'])\n",
        "plt.title('Bathrooms vs Price')\n",
        "plt.xlabel('Bathrooms')\n",
        "plt.ylabel('Price')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0ttkZWYDPWCX"
      },
      "outputs": [],
      "source": [
        "Q1 = np.percentile(data['Bathrooms'], 25, method='midpoint')\n",
        "Q3 = np.percentile(data['Bathrooms'], 75, method='midpoint')\n",
        "\n",
        "IQR = Q3 - Q1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UnxZuUNnPtOb",
        "outputId": "27834c18-a907-45dd-955b-b6cf6c337292"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-1.0 7.0\n",
            "Lower bond values 0, Upper bond values 4996\n"
          ]
        }
      ],
      "source": [
        "upper =  Q3 + 1.5 * IQR\n",
        "lower =   Q1 - 1.5 * IQR\n",
        "upper_array = np.array(data['Bathrooms'] >= upper)\n",
        "lower_array = np.array(data['Bathrooms'] <= lower)\n",
        "\n",
        "print(lower, upper)\n",
        "print(f'Lower bond values {lower_array.sum()}, Upper bond values {upper_array.sum()}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0zdZWkRrQfS9"
      },
      "outputs": [],
      "source": [
        "data.loc[upper_array, 'Bathrooms'] = data['Bathrooms'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OiDmNMl8RQEo",
        "outputId": "a943b2d3-b388-4bca-b9a2-ae550052288f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    231057.00000\n",
              "mean          3.20578\n",
              "std           1.34054\n",
              "min           0.00000\n",
              "25%           2.00000\n",
              "50%           3.00000\n",
              "75%           4.00000\n",
              "max           6.00000\n",
              "Name: Bathrooms, dtype: float64"
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Bathrooms'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "wajE-PqbRWC1",
        "outputId": "f75823b5-b953-44a6-9ccf-2be2b0060598"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Bathrooms'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cSHPnpDRR7oR"
      },
      "source": [
        "## Parking"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K-rOchf9RzkI",
        "outputId": "0103cbc6-1acc-41ea-e0a7-6b35327739a1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Parking\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "107061 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Parking'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XUzaUR1ASF_h",
        "outputId": "18a2e8ed-da67-41a4-ec9a-ea4be5e364e5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2.0          65841\n",
              "3.0          14380\n",
              "1.0           9379\n",
              "4.0           9306\n",
              "5.0           4778\n",
              "             ...  \n",
              "310.0            1\n",
              "789.0            1\n",
              "85.0             1\n",
              "750.0            1\n",
              "1121111.0        1\n",
              "Name: Parking, Length: 258, dtype: int64"
            ]
          },
          "execution_count": 61,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CMpyGZh4TfYA",
        "outputId": "9d3d447e-1997-4a86-c908-535c861edcc1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    1.070610e+05\n",
              "mean     2.430523e+01\n",
              "std      3.502559e+03\n",
              "min      0.000000e+00\n",
              "25%      2.000000e+00\n",
              "50%      2.000000e+00\n",
              "75%      3.000000e+00\n",
              "max      1.121111e+06\n",
              "Name: Parking, dtype: float64"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "cBoa2qQGUVMY",
        "outputId": "dc77c1f1-970d-4c6b-e11d-dbbb923a371d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 63,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Parking'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "yDDA6vS1Up19",
        "outputId": "a6220346-1a22-4b63-d6f0-b8946185addb"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.scatter(data['Parking'], data['Price'])\n",
        "plt.title('Parking vs Price')\n",
        "plt.xlabel('Parking')\n",
        "plt.ylabel('Price')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fWDqbXtknZKn",
        "outputId": "e26114b7-b03c-4a21-aa52-ecf06231c68c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2.0\n"
          ]
        }
      ],
      "source": [
        "mode_parking = data['Parking'].mode().values[0]\n",
        "print(mode_parking)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sLczO_YwVCxk"
      },
      "outputs": [],
      "source": [
        "\n",
        "for idx, val in enumerate(data['Parking']):\n",
        "  if pd.isnull(val):\n",
        "    if data.at[idx, 'Bedrooms']:\n",
        "      data.at[idx, 'Parking'] = 0\n",
        "    else:\n",
        "      data.at[idx, 'Parking'] = mode_parking"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uhk9W6E9Wh3q",
        "outputId": "707e81f6-b15b-43dd-e680-d8fea48b4906"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Parking\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "231057 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Parking'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BE_jOXyKoUuV",
        "outputId": "71040802-de6a-4264-fa22-afeae7c81e53"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.0          124447\n",
              "2.0           65851\n",
              "3.0           14380\n",
              "1.0            9379\n",
              "4.0            9306\n",
              "              ...  \n",
              "310.0             1\n",
              "789.0             1\n",
              "85.0              1\n",
              "750.0             1\n",
              "1121111.0         1\n",
              "Name: Parking, Length: 258, dtype: int64"
            ]
          },
          "execution_count": 68,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TF6OMU0zdQcf",
        "outputId": "e073d7cc-4589-45a8-81c7-d4df6356b472"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2.0\n"
          ]
        }
      ],
      "source": [
        "Q1 = np.percentile(data['Parking'], 25, method='midpoint')\n",
        "Q3 = np.percentile(data['Parking'], 75, method='midpoint')\n",
        "\n",
        "IQR = Q3 - Q1\n",
        "print(IQR)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ScZsxyXF1o13",
        "outputId": "653b42ef-5d29-4b19-db14-5f29e761aa92"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-3.0 5.0\n",
            "Sum of values less than lower bound0 and those greater than upper bound 7694\n"
          ]
        }
      ],
      "source": [
        "upper = Q3 + 1.5 * IQR\n",
        "lower = Q1 - 1.5 * IQR\n",
        "\n",
        "upper_array = np.array(data['Parking'] >= upper)\n",
        "lower_array = np.array(data['Parking'] <= lower)\n",
        "\n",
        "print(lower, upper)\n",
        "print(f'Sum of values less than lower bound{lower_array.sum()} and those greater than upper bound {upper_array.sum()}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qO4cHV3r2eC6"
      },
      "outputs": [],
      "source": [
        "data.loc[upper_array, 'Parking'] = data['Parking'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o5kaktUR3VYw",
        "outputId": "9e0ab90d-de6a-4ff8-eb58-fce00a5a5233"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    231057.000000\n",
              "mean          0.958400\n",
              "std           1.211032\n",
              "min           0.000000\n",
              "25%           0.000000\n",
              "50%           0.000000\n",
              "75%           2.000000\n",
              "max           4.000000\n",
              "Name: Parking, dtype: float64"
            ]
          },
          "execution_count": 72,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N2VXOwgQ3YgO",
        "outputId": "5c8f2255-299a-4492-89f7-bb86da254cc5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.0    132141\n",
              "2.0     65851\n",
              "3.0     14380\n",
              "1.0      9379\n",
              "4.0      9306\n",
              "Name: Parking, dtype: int64"
            ]
          },
          "execution_count": 73,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f2T65XzOougH"
      },
      "source": [
        "## Price"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Sdm5VTQR-AtV",
        "outputId": "1914d215-2e68-4f45-afc9-e0d671dc23bc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Price\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "230942 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n"
          ]
        }
      ],
      "source": [
        "data['Price'].info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VHDg8xMIo8bC",
        "outputId": "6f5cfe48-61ea-4bfa-bda0-2078b61401bd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "250000.0     13528\n",
              "350000.0     10986\n",
              "150000.0     10687\n",
              "200000.0     10084\n",
              "300000.0      9781\n",
              "             ...  \n",
              "418800.0         1\n",
              "231710.0         1\n",
              "221445.0         1\n",
              "1057000.0        1\n",
              "89996.0          1\n",
              "Name: Price, Length: 1741, dtype: int64"
            ]
          },
          "execution_count": 75,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JgNDJCP9pBsk",
        "outputId": "82f9a1d2-7d11-4e3d-a86a-e863f5818302"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    2.309420e+05\n",
              "mean     8.868090e+05\n",
              "std      5.224872e+07\n",
              "min      0.000000e+00\n",
              "25%      8.000000e+04\n",
              "50%      1.500000e+05\n",
              "75%      2.800000e+05\n",
              "max      1.550006e+10\n",
              "Name: Price, dtype: float64"
            ]
          },
          "execution_count": 76,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gD0IdmJSpFTG",
        "outputId": "e53b831a-0b30-4652-e130-5506fd400b21"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "115"
            ]
          },
          "execution_count": 77,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q6s0G5Kdpfgl",
        "outputId": "20d435ee-c0c5-4c53-f6fb-e6bf8f1bcba6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.series.Series'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Series name: Price\n",
            "Non-Null Count   Dtype  \n",
            "--------------   -----  \n",
            "231057 non-null  float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 1.8 MB\n",
            "None\n"
          ]
        }
      ],
      "source": [
        "data['Price'].fillna(data['Price'].median(), inplace=True)\n",
        "print(data['Price'].info())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "ycawMdbBp1g3",
        "outputId": "46964312-c2be-44a7-8c77-f25dc3844272"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 79,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Price'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MkyZFsKmp-FG",
        "outputId": "d3f13c48-2735-474e-950b-ff1d39598fc1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q1: 80000.0, Q3: 280000.0, IQR: 200000.0\n"
          ]
        }
      ],
      "source": [
        "Q1 = np.percentile(data['Price'], 25, method='midpoint')\n",
        "Q3 = np.percentile(data['Price'], 75, method='midpoint')\n",
        "\n",
        "IQR = Q3 - Q1\n",
        "\n",
        "print(f\"Q1: {Q1}, Q3: {Q3}, IQR: {IQR}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OJzrzdM4qmn9",
        "outputId": "05e35041-f0f3-4f78-efe9-5e8360f79504"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-220000.0 580000.0\n"
          ]
        }
      ],
      "source": [
        "lower = Q1 - 1.5 * IQR\n",
        "upper = Q3 + 1.5 * IQR\n",
        "\n",
        "print(lower, upper)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UEyixub_q5UQ"
      },
      "outputs": [],
      "source": [
        "upper_array = np.array(data['Price'] >= upper)\n",
        "lower_array = np.array(data['Price'] <= lower)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2LTFDwkhrE6s",
        "outputId": "f02ef6d4-dd33-4c79-ff61-dee009865348"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "231057 231057\n"
          ]
        }
      ],
      "source": [
        "print(len(lower_array), len(upper_array))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5nb6iP9XsBck",
        "outputId": "228f0c23-f888-4bd9-9e44-bd36e2aab5bc"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "150000.0"
            ]
          },
          "execution_count": 84,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Y_NoqGturRqk"
      },
      "outputs": [],
      "source": [
        "data.loc[lower_array, 'Price'] = data['Price'].median()\n",
        "data.loc[upper_array, 'Price'] = data['Price'].median()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GT-0RzxKrpoF",
        "outputId": "da611b74-ddd8-4764-d8f2-1e597ee764a5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    231057.000000\n",
              "mean     179259.512341\n",
              "std      122274.723709\n",
              "min           0.000000\n",
              "25%       80000.000000\n",
              "50%      150000.000000\n",
              "75%      250000.000000\n",
              "max      579800.000000\n",
              "Name: Price, dtype: float64"
            ]
          },
          "execution_count": 86,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "doOSW4TGrtaj",
        "outputId": "d26524ba-84d9-4509-9e64-5f9df5e1b799"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 87,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(data['Price'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7VUh7ttjvqqf",
        "outputId": "7eaf1768-f9ed-4d0a-f5a0-137ed4873aa3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 231057 entries, 0 to 231056\n",
            "Data columns (total 6 columns):\n",
            " #   Column     Non-Null Count   Dtype  \n",
            "---  ------     --------------   -----  \n",
            " 0   City       231057 non-null  object \n",
            " 1   Location   231057 non-null  object \n",
            " 2   Bedrooms   231057 non-null  float64\n",
            " 3   Bathrooms  231057 non-null  float64\n",
            " 4   Parking    231057 non-null  float64\n",
            " 5   Price      231057 non-null  float64\n",
            "dtypes: float64(4), object(2)\n",
            "memory usage: 10.6+ MB\n"
          ]
        }
      ],
      "source": [
        "data.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZUGJM11XipEd"
      },
      "source": [
        "## Univariate Analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9TtWQYhGipAg"
      },
      "source": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nUVYE74GAk7g"
      },
      "source": [
        "## Distributions\n",
        "\n",
        "### Bedrooms"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "jCFbedegxDvX",
        "outputId": "6573cfe9-cdfc-4652-be8e-97c7acdd8bb8"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.histplot(data=data['Bedrooms'], kde=True)\n",
        "plt.title(\"Bedrooms\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ani9OCouaJ0"
      },
      "source": [
        "From this graph we can see that the bedrooms column has a normal distribution.\n",
        "\n",
        "Houses in Nairobi have a range of bedrooms from 0-6.\n",
        "A house with 0 bedroom? Yes, this are the studio houses and the single room houses, they are just one room with no separate room as a bedroom."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EXTZw5RYo2PV",
        "outputId": "b514cc22-24e6-411c-879c-b97ced32667c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Location                                            Bedrooms\n",
              "Lavington                                           5.0         14432\n",
              "                                                    4.0         14206\n",
              "Runda                                               5.0          6523\n",
              "Westlands                                           4.0          5001\n",
              "Runda                                               4.0          4145\n",
              "                                                                ...  \n",
              "Mountain                                            5.0             1\n",
              "Mtwapa                                              4.0             1\n",
              "Mutero                                              4.0             1\n",
              "3rd                                                 5.0             1\n",
              "ð¨ðð ðð¡ð¢ð¤ð ðð¨ðð  4.0             1\n",
              "Length: 290, dtype: int64"
            ]
          },
          "execution_count": 90,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[data['Bedrooms'] >= 4][['Location', 'Bedrooms']].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "POEhqEpnulE1"
      },
      "source": [
        "Most of the houses have a range of 0-5 bedrooms which is pretty much a considerable number for bedrooms. This range captures most of the preferences by tenants. This ranges from those who are starting out in life and have a small family or has no family to those customers who have a large family.\n",
        "There might be a catch with those tenants who live in studio/singe room houses, They might be starting out in life and have no families or they have a low income thus pushing them to live in smaller houses than the one they'd be comfortable with.\n",
        "With that, who is living in houses with 4, 5, 6 bedrooms?. Most of the houses with such a number of bedrooms are in rich neighborhoods in Nairobi. Such locations that are generally for the rich are `Lavington, Runda, Westlands etc`. There are other houses in other locations which are generally not for high income earners geographically but may have rich neighborhoods too.These houses are occupied by tenants with a really good source of income, think of big company CEOs, celebrities, politicians and other top tier earners."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GEMc8ldirOc4",
        "outputId": "b049df1f-d321-4ec4-d838-b14d7dbeb58b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1         180000.0\n",
              "3          55000.0\n",
              "12         95000.0\n",
              "14         85000.0\n",
              "15        100000.0\n",
              "            ...   \n",
              "231045    180000.0\n",
              "231046    180000.0\n",
              "231050    180000.0\n",
              "231051    180000.0\n",
              "231052    180000.0\n",
              "Name: Price, Length: 69184, dtype: float64"
            ]
          },
          "execution_count": 91,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[data['Bedrooms'] == 3]['Price']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Kc7vlK7Lllf4"
      },
      "source": [
        "Houses with 3 bedrooms are the most to find in Nairobi. Why is this so? It maybe because it's the most preferred by tenants who have a large family and want a master bedroom, a bedrooms for their kids and a guest bedroom.\n",
        "This may lead to many landlords adhere to this demand and build more houses with 3 bedrooms.\n",
        "These houses with 3 bedrooms have quite a wide price range accomodating tenants with different income levels. However, most of the houses with this number of bedrooms target middle class to top tier income earners since their mean price is around KSh 140,000."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VZlpwhAdCgX0"
      },
      "source": [
        "## Bathrooms"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "zLZjclyeB62Y",
        "outputId": "c593f1fc-9969-411a-c077-57a66410fcc8"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.histplot(data=data['Bathrooms'], kde=True)\n",
        "plt.title('Bathrooms')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K_ueznyNCBFC"
      },
      "source": [
        "Referring to the graph, we draw various insights from it. Let's uncover some of them.\n",
        "\n",
        "The `Bathrooms` of houses is normally distributed.\n",
        "\n",
        "Most houses have 3 bathrooms.\n",
        "The range of number of bathrooms is 0-6.\n",
        "A house can have no bathroom if it's a single room, also some one bedrooms have no bathrooms. Here is a catch, does this mean people living there don't have their showers😀? No, such houses have shared bathrooms.\n",
        "\n",
        "For most standard  houses 3 bathrooms are quite enough. But there are houses with more bathrooms. This is attributed to the size of the house and the number of rooms in the house. Of course houses with such a large number of bathrooms are not for the larger majority of the population. This is for the wealthy and money is not a problem as we'll see when we compare `Bathrooms` with `Price`, `Bedrooms` and `Location`.\n",
        "However, if you look at the current frequency for the houses with such a large number of bathrooms, it is larger than the for those with 0, 1 and 2 bathrooms.\n",
        "Here is why, most of the houses in Nairobi are not uploaded online from where most of the data was scrapped. Also, majority of the settlements where people within the lower end of the income are not advertised online. Most people who live in the outskirts of Nairobi and live in areas such as Dandora, Githurai and the likes don't look for houses online but rather through word of mouth and the famous `house hunting` day. Again, most of these houses were not scrapped during the data collection but they are represented."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "su0D3qV4h2KS",
        "outputId": "77c28d7b-dd4e-47c7-c9e1-7d781e058866"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Location                                            Bathrooms\n",
              "Lavington                                           5.0          12626\n",
              "                                                    4.0          12307\n",
              "Runda                                               5.0           5931\n",
              "Westlands                                           4.0           4879\n",
              "Kilimani                                            4.0           3740\n",
              "                                                                 ...  \n",
              "Membley Estate                                      5.0              1\n",
              "Mimosa                                              5.0              1\n",
              "Miotoni                                             5.0              1\n",
              "Mombasa                                             4.0              1\n",
              "ð¨ðð ðð¡ð¢ð¤ð ðð¨ðð  4.0              1\n",
              "Length: 303, dtype: int64"
            ]
          },
          "execution_count": 93,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[data['Bathrooms'] >= 4][['Location', 'Bathrooms']].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uaS2ll6diTOk"
      },
      "source": [
        "From the results, above we can infer that majority of the houses that have more than 3 bathrooms are in rich neighborhoods such as `Membly Estate, Lavington, Runda etc`. Most of these houses are in `Lavington`, which by all means is a rich neighborhood in Nairobi. This large number of bathrooms is convinient to be present in large houses that the rich can afford. These houses can be mansions, bungalows in these rich neighborhoods. It'd be illogical to have have a one bedroom house with 3, 4 bathrooms. They are highly directly correlated, thus a large number of bedrooms corresponds to a large number of bathrooms.\n",
        "\n",
        "We'll affirm this when we look at the correlation matrix for the various columns in the dataset and also during the multivariate analysis."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IFmiASxinigH"
      },
      "source": [
        "## Parking"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "F4ydMJ0DCqsS",
        "outputId": "75b09164-ce93-46ce-8424-d47fb8720489"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.histplot(data=data['Parking'], kde=True)\n",
        "plt.title('Parking')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jp3GapJAnnEq"
      },
      "source": [
        "In reference to the above graph, most of the houses don't have a parking a parking. Fewer houses have 1 parking space.\n",
        "The parking slots range from 0-4."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y9_4Y7NsG7bT",
        "outputId": "acd5e15f-7071-4282-e3bc-940724f82734"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.9583998753554318"
            ]
          },
          "execution_count": 95,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Parking'].mean()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "teMfKY0bHZ3k"
      },
      "source": [
        "The mean parking slots is approximately 1. This is greately pulled by the houses with no parking.\n",
        "Houses with no parking? Right, majority of the houses in the lower tier earners and most of the studio/single room houses and one bedroom houses may have no parking.\n",
        "![no_parking.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Hfva8RAkJZOI"
      },
      "source": [
        "These houses are more common for a larger demographic in Nairobi than standard apartments. This may lure developers and landlords to build such houses and tap a larger customer base rather than developing high end houses for only a small section of the demographic."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q-3ydHeULDWo",
        "outputId": "3382556f-af9a-4e40-80f0-624409963a54"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Location       Parking\n",
              "Lavington      3.0        4222\n",
              "               4.0        2766\n",
              "Runda          3.0        1658\n",
              "Kitisuru       3.0        1182\n",
              "Runda          4.0        1158\n",
              "                          ... \n",
              "Olorropil      3.0           1\n",
              "Ongata Rongai  4.0           1\n",
              "Roysambu       4.0           1\n",
              "Ruai           3.0           1\n",
              "Woodley        3.0           1\n",
              "Length: 131, dtype: int64"
            ]
          },
          "execution_count": 96,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[data['Parking'] >= 3][['Location', 'Parking']].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cv-pciyRLTp7"
      },
      "source": [
        "We can see that the houses with a more than 2 parking slots are majorly more common in porshy areas such as `Kitisuru` whose residents are the who is who's.\n",
        "These houses have a higher number of parking slots since the residents are people who are rich and thus have more than 1 car in their names. These house are mostly mansions and have their own compound thus allowing such a large number of parking slots.\n",
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T7LCmTm4DNPV"
      },
      "source": [
        "### Price"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "mmvWa1WHDF2G",
        "outputId": "f983bcc7-4979-4bf3-a436-065c5352ed0b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.histplot(data=data['Price'], kde=True)\n",
        "plt.title(\"Price\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YhI0zXqVdC-M"
      },
      "outputs": [],
      "source": [
        "result = data[data['Price'] <= 200000]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dn08OmL3dC-N",
        "outputId": "2472540c-184a-4249-b768-5a73f3db7258"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "153055"
            ]
          },
          "execution_count": 109,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(result)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KMGV-wUCdC-N",
        "outputId": "57389fcd-59be-45aa-8dd3-7408c147bb28"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0    150000.0\n",
              "Name: Price, dtype: float64"
            ]
          },
          "execution_count": 110,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].mode()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GBeTV8yZdC-N"
      },
      "source": [
        "The graph above displays the distribution of the house prices in the dataset. The house prices has a wide range from 0-600000. We can see there's definately some anomalies in the dataset since a house can have a KSh 0 for rent. We will deal with later. The price range captures a wide demographic ranging from low income earners all the way to wealthy folks. Most  of the houses are have a price range of below 200000(included). This captures most of low income to the middle class people.\n",
        "Price is not normally distributed though, it's positively skewed. This is attributed to the presence of expensive houses that are upto KSh 600,000 that pull the distribution to the right. The most common house price among the houses is KSh 150,000. Why is this? Most probably the data was fetched in areas with houses with such houses and had many of them, approximately 17500 of the houses had their house price as KSh 150,000."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m7pLzo0hDYnX",
        "outputId": "23270af0-65ec-4501-9b5e-5ff839e18037"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    231057.000000\n",
              "mean     179259.512341\n",
              "std      122274.723709\n",
              "min           0.000000\n",
              "25%       80000.000000\n",
              "50%      150000.000000\n",
              "75%      250000.000000\n",
              "max      579800.000000\n",
              "Name: Price, dtype: float64"
            ]
          },
          "execution_count": 98,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data['Price'].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3NeLqCYCECQB",
        "outputId": "bc859e26-80c3-476e-e022-4acd7e30278a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "City     Location    Bedrooms  Bathrooms  Parking  Price\n",
              "Nairobi  Kileleshwa  0.0       0.0        0.0      0.0      1\n",
              "         Kilimani    0.0       0.0        0.0      0.0      1\n",
              "         Lavington   0.0       0.0        0.0      0.0      1\n",
              "         Westlands   0.0       0.0        0.0      0.0      1\n",
              "dtype: int64"
            ]
          },
          "execution_count": 99,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[data['Price']== 0].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HTBrSBDXitUQ"
      },
      "source": [
        "## Bivariate Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "9KjC6rfdEsBs",
        "outputId": "3cb44e2a-9571-49a6-b101-4442b27525e7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.histplot(data['Bedrooms'], kde=True,label='bedrooms', color='blue', alpha=0.5)\n",
        "sns.histplot(data['Bathrooms'], kde=True,label='bathrooms', color='red', alpha=0.5)\n",
        "sns.histplot(data['Parking'], kde=True, label='parking', color='green', alpha=0.5)\n",
        "plt.xlabel('Value')\n",
        "plt.ylabel('Frequency')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cezqmKkxdC-P"
      },
      "source": [
        "The above graph shows the distributions of the numerical independent variables `Bedrooms, Bathrooms and Parking`.\n",
        "These variables appear to have high positive correlation. This means as the number of bedrooms increases, the number of bathrooms also increases and so does the number of  parking slots. It's not all that linear as explained but that's the trajectory basically."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1zR-Q_crjbYg",
        "outputId": "c9f55527-c663-4507-ee1f-2d850d306f41"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.barplot(x=data['Bedrooms'], y=data['Price'])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The above graph shows the relationship between the price and bedrooms.The house price increase with increased number of bedrooms.More bedrooms translate into more usable living space, which is a highly sought-after feature for potential homebuyers. Families with children often prioritize homes with multiple bedrooms to accommodate their growing needs."
      ],
      "metadata": {
        "id": "aULhG6Lx-gPs"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cu0hn5aqdC-Q",
        "outputId": "eae57acc-2527-4a6f-fa7e-319bb9d4e5e9"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.barplot(x=data['Bathrooms'], y=data['Price'])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The gragh shows the relationship between price and bathrooms.More bathrooms leads to increased price.More bathrooms provide greater convenience and functionality for residents, especially for larger families or those who frequently host guests. Having multiple bathrooms reduces the need to wait in line and ensures that everyone has access to a bathroom when they need it."
      ],
      "metadata": {
        "id": "3HCwl_qx_d81"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eFmi4PLDdC-R",
        "outputId": "ed3ca1c0-2c4b-48ef-8b58-a947f8266a81"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.barplot(x=data['Parking'], y=data['Price'])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The house price and parking space are linearly related.Estates with ample parking spaces are generally considered more desirable and valuable due to the convenience and flexibility they offer residents and guests. Having enough parking spaces reduces the hassle of searching for parking, prevents overcrowding, and contributes to a sense of order and organization within the estate."
      ],
      "metadata": {
        "id": "9tCeNQiNBhE7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Data preparation for machine learning**\n",
        "\n",
        "**Data cleaning and preprocessing**"
      ],
      "metadata": {
        "id": "xWXQBZ8vEsxm"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "DwMrsHDKJkW8"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.12"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}