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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a7b06929"
      },
      "source": [
        "## Missing values"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
      "metadata": {
        "id": "TxSpcaeXUiKr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:25:36.836870Z",
          "start_time": "2021-12-11T16:25:36.800201Z"
        },
        "id": "569df7d9"
      },
      "source": [
        "Давайте розглянемо ще один датасет. Опис і самі дані ви можете знайти [тут](https://www.kaggle.com/datasets/justinas/housing-in-london?resource=download)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "addee8cb"
      },
      "outputs": [],
      "source": [
        "df = pd.read_csv('housing_in_london_monthly_variables.csv')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9vugUb1iU8Ao",
        "outputId": "f6311a9f-a5be-4925-fee1-98dace2eaa13"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(13549, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "uKgsIre5PHvN",
        "outputId": "1e553d45-804c-47f3-f7f3-cc3428b65487"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         date            area  average_price       code  houses_sold  \\\n",
              "0  1995-01-01  city of london          91449  E09000001         17.0   \n",
              "1  1995-02-01  city of london          82203  E09000001          7.0   \n",
              "2  1995-03-01  city of london          79121  E09000001         14.0   \n",
              "3  1995-04-01  city of london          77101  E09000001          7.0   \n",
              "4  1995-05-01  city of london          84409  E09000001         10.0   \n",
              "\n",
              "   no_of_crimes  borough_flag  \n",
              "0           NaN             1  \n",
              "1           NaN             1  \n",
              "2           NaN             1  \n",
              "3           NaN             1  \n",
              "4           NaN             1  "
            ],
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 13549,\n  \"fields\": [\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 301,\n        \"samples\": [\n          \"2009-10-01\",\n          \"2019-02-01\",\n          \"2014-01-01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"area\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 45,\n        \"samples\": [\n          \"east midlands\",\n          \"merton\",\n          \"newham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"average_price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 187617,\n        \"min\": 40722,\n        \"max\": 1463378,\n        \"num_unique_values\": 13343,\n        \"samples\": [\n          388955,\n          269258,\n          576272\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"code\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 45,\n        \"samples\": [\n          \"E12000004\",\n          \"E09000024\",\n          \"E09000025\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"houses_sold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12114.402475713807,\n        \"min\": 2.0,\n        \"max\": 132163.0,\n        \"num_unique_values\": 3946,\n        \"samples\": [\n          9613.0,\n          7842.0,\n          8281.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"no_of_crimes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 902.0877418651525,\n        \"min\": 0.0,\n        \"max\": 7461.0,\n        \"num_unique_values\": 2669,\n        \"samples\": [\n          2277.0,\n          2946.0,\n          2289.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"borough_flag\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:15:46.846418Z",
          "start_time": "2021-12-11T16:15:46.842200Z"
        },
        "id": "34509d3d"
      },
      "source": [
        "**Зручний** спосіб візуалізації пропущених значень та пошуку закономірностей - це бібліотека missingno"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:16:16.583849Z",
          "start_time": "2021-12-11T16:16:16.578546Z"
        },
        "id": "7159b1c5"
      },
      "outputs": [],
      "source": [
        "import missingno as msno"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:17:14.706579Z",
          "start_time": "2021-12-11T16:17:14.325877Z"
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2500x1000 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "msno.bar(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:17:48.597649Z",
          "start_time": "2021-12-11T16:17:48.320917Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "19264f99",
        "outputId": "de5e943b-cf58-4047-f655-9205ea3d8750"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2500x1000 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "msno.matrix(df);"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-12-11T16:18:23.442147Z",
          "start_time": "2021-12-11T16:18:23.437756Z"
        },
        "id": "4ff44313"
      },
      "source": [
        "Спарклайн справа підсумовує загальну повноту даних та вказує рядки з максимальною та мінімальною кількістю Nulls у колонках набору даних.\n",
        "\n",
        "У цій візуалізації зручно розмістити до 50 змінних. Після цього позначки діапазону починають перекриватися або стають нечитаними, і за замовчуванням на великих дисплеях вони не відображаються."
      ]
    }
  ]
}