e_health_website_data_analysis.ipynb

{
  "cells": [
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        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (2.2.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (1.26.4)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.11/dist-packages (3.10.0)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.11/dist-packages (0.13.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.11/dist-packages (1.13.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas) (2025.1)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas) (2025.1)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (1.3.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (4.55.8)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (1.4.8)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (24.2)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (11.1.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib) (3.2.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n"
          ]
        }
      ],
      "source": [
        "pip install pandas numpy matplotlib seaborn scipy"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ac9f9853-cdc8-42dd-a8ec-551f767f0ba5",
      "metadata": {
        "id": "ac9f9853-cdc8-42dd-a8ec-551f767f0ba5"
      },
      "source": [
        "<h1>Import libraries </h1>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8386d107-d1de-4508-819d-f23330226673",
      "metadata": {
        "id": "8386d107-d1de-4508-819d-f23330226673"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from google.colab import drive"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "adc17195-59c5-437b-8655-6883effd6e33",
      "metadata": {
        "id": "adc17195-59c5-437b-8655-6883effd6e33"
      },
      "source": [
        "<h2>Load Dataset</h2>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c7b13cbc-5fb1-4b90-80d9-35a153895375",
      "metadata": {
        "id": "c7b13cbc-5fb1-4b90-80d9-35a153895375",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "be4a62f5-ca86-4753-869b-6b289f90d07a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "# Mount Google Drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# Define the file path\n",
        "file_path = \"/content/drive/MyDrive/Colab Notebooks/e health/ehealth_data3.csv\"\n",
        "\n",
        "# Load the dataset with encoding handling\n",
        "try:\n",
        "    df = pd.read_csv(file_path, encoding='utf-8')  # Try UTF-8 encoding first\n",
        "except UnicodeDecodeError:\n",
        "    df = pd.read_csv(file_path, encoding='ISO-8859-1')  # Fallback encoding"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c39364af-1923-4d1a-b28d-1036cfab91a3",
      "metadata": {
        "id": "c39364af-1923-4d1a-b28d-1036cfab91a3"
      },
      "source": [
        "<h2>basic information about dataset</h2>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "62a9b928-bfdd-4600-a708-7b66359f6e0a",
      "metadata": {
        "id": "62a9b928-bfdd-4600-a708-7b66359f6e0a",
        "outputId": "e360b6ec-1ad4-4b8d-adce-fd82ac1bc828",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x79e6e885f290>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_eec6b\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_eec6b_level0_col0\" class=\"col_heading level0 col0\" >id</th>\n",
              "      <th id=\"T_eec6b_level0_col1\" class=\"col_heading level0 col1\" >name_of_the_institution</th>\n",
              "      <th id=\"T_eec6b_level0_col2\" class=\"col_heading level0 col2\" >location</th>\n",
              "      <th id=\"T_eec6b_level0_col3\" class=\"col_heading level0 col3\" >url</th>\n",
              "      <th id=\"T_eec6b_level0_col4\" class=\"col_heading level0 col4\" >appointment_booking</th>\n",
              "      <th id=\"T_eec6b_level0_col5\" class=\"col_heading level0 col5\" >find_doctors</th>\n",
              "      <th id=\"T_eec6b_level0_col6\" class=\"col_heading level0 col6\" >online_report</th>\n",
              "      <th id=\"T_eec6b_level0_col7\" class=\"col_heading level0 col7\" >telemedicine</th>\n",
              "      <th id=\"T_eec6b_level0_col8\" class=\"col_heading level0 col8\" >online_consultation</th>\n",
              "      <th id=\"T_eec6b_level0_col9\" class=\"col_heading level0 col9\" >online_payment</th>\n",
              "      <th id=\"T_eec6b_level0_col10\" class=\"col_heading level0 col10\" >emergency_ambulance_service</th>\n",
              "      <th id=\"T_eec6b_level0_col11\" class=\"col_heading level0 col11\" >health_record_card</th>\n",
              "      <th id=\"T_eec6b_level0_col12\" class=\"col_heading level0 col12\" >home_service_booking</th>\n",
              "      <th id=\"T_eec6b_level0_col13\" class=\"col_heading level0 col13\" >online_store</th>\n",
              "      <th id=\"T_eec6b_level0_col14\" class=\"col_heading level0 col14\" >student_services</th>\n",
              "      <th id=\"T_eec6b_level0_col15\" class=\"col_heading level0 col15\" >chatbot_assistant</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_eec6b_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "      <td id=\"T_eec6b_row0_col0\" class=\"data row0 col0\" >1</td>\n",
              "      <td id=\"T_eec6b_row0_col1\" class=\"data row0 col1\" >Al-Rajhi Hospital Ltd.</td>\n",
              "      <td id=\"T_eec6b_row0_col2\" class=\"data row0 col2\" >Dhaka</td>\n",
              "      <td id=\"T_eec6b_row0_col3\" class=\"data row0 col3\" >https://alrajhihospital.com/</td>\n",
              "      <td id=\"T_eec6b_row0_col4\" class=\"data row0 col4\" >yes</td>\n",
              "      <td id=\"T_eec6b_row0_col5\" class=\"data row0 col5\" >yes</td>\n",
              "      <td id=\"T_eec6b_row0_col6\" class=\"data row0 col6\" >yes</td>\n",
              "      <td id=\"T_eec6b_row0_col7\" class=\"data row0 col7\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col8\" class=\"data row0 col8\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col9\" class=\"data row0 col9\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col10\" class=\"data row0 col10\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col11\" class=\"data row0 col11\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col12\" class=\"data row0 col12\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col13\" class=\"data row0 col13\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col14\" class=\"data row0 col14\" >no</td>\n",
              "      <td id=\"T_eec6b_row0_col15\" class=\"data row0 col15\" >no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_eec6b_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "      <td id=\"T_eec6b_row1_col0\" class=\"data row1 col0\" >2</td>\n",
              "      <td id=\"T_eec6b_row1_col1\" class=\"data row1 col1\" >Al-Baraka Diagnostic & Hospital Complex Ltd.</td>\n",
              "      <td id=\"T_eec6b_row1_col2\" class=\"data row1 col2\" >Dhaka</td>\n",
              "      <td id=\"T_eec6b_row1_col3\" class=\"data row1 col3\" >https://albarakadiagnostic.com/</td>\n",
              "      <td id=\"T_eec6b_row1_col4\" class=\"data row1 col4\" >yes</td>\n",
              "      <td id=\"T_eec6b_row1_col5\" class=\"data row1 col5\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col6\" class=\"data row1 col6\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col7\" class=\"data row1 col7\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col8\" class=\"data row1 col8\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col9\" class=\"data row1 col9\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col10\" class=\"data row1 col10\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col11\" class=\"data row1 col11\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col12\" class=\"data row1 col12\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col13\" class=\"data row1 col13\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col14\" class=\"data row1 col14\" >no</td>\n",
              "      <td id=\"T_eec6b_row1_col15\" class=\"data row1 col15\" >no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_eec6b_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "      <td id=\"T_eec6b_row2_col0\" class=\"data row2 col0\" >3</td>\n",
              "      <td id=\"T_eec6b_row2_col1\" class=\"data row2 col1\" >Al-Helal Specialized Hospital Limited</td>\n",
              "      <td id=\"T_eec6b_row2_col2\" class=\"data row2 col2\" >Dhaka</td>\n",
              "      <td id=\"T_eec6b_row2_col3\" class=\"data row2 col3\" >https://alhelalhospitalbd.com/appointment/</td>\n",
              "      <td id=\"T_eec6b_row2_col4\" class=\"data row2 col4\" >yes</td>\n",
              "      <td id=\"T_eec6b_row2_col5\" class=\"data row2 col5\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col6\" class=\"data row2 col6\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col7\" class=\"data row2 col7\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col8\" class=\"data row2 col8\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col9\" class=\"data row2 col9\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col10\" class=\"data row2 col10\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col11\" class=\"data row2 col11\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col12\" class=\"data row2 col12\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col13\" class=\"data row2 col13\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col14\" class=\"data row2 col14\" >no</td>\n",
              "      <td id=\"T_eec6b_row2_col15\" class=\"data row2 col15\" >no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_eec6b_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "      <td id=\"T_eec6b_row3_col0\" class=\"data row3 col0\" >4</td>\n",
              "      <td id=\"T_eec6b_row3_col1\" class=\"data row3 col1\" >Al-Manar Hospital Ltd.</td>\n",
              "      <td id=\"T_eec6b_row3_col2\" class=\"data row3 col2\" >Dhaka</td>\n",
              "      <td id=\"T_eec6b_row3_col3\" class=\"data row3 col3\" >https://almanarhospital.com/</td>\n",
              "      <td id=\"T_eec6b_row3_col4\" class=\"data row3 col4\" >yes</td>\n",
              "      <td id=\"T_eec6b_row3_col5\" class=\"data row3 col5\" >yes</td>\n",
              "      <td id=\"T_eec6b_row3_col6\" class=\"data row3 col6\" >yes</td>\n",
              "      <td id=\"T_eec6b_row3_col7\" class=\"data row3 col7\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col8\" class=\"data row3 col8\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col9\" class=\"data row3 col9\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col10\" class=\"data row3 col10\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col11\" class=\"data row3 col11\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col12\" class=\"data row3 col12\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col13\" class=\"data row3 col13\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col14\" class=\"data row3 col14\" >no</td>\n",
              "      <td id=\"T_eec6b_row3_col15\" class=\"data row3 col15\" >no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_eec6b_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "      <td id=\"T_eec6b_row4_col0\" class=\"data row4 col0\" >5</td>\n",
              "      <td id=\"T_eec6b_row4_col1\" class=\"data row4 col1\" >Aleya Eye Hospital</td>\n",
              "      <td id=\"T_eec6b_row4_col2\" class=\"data row4 col2\" >Dhaka</td>\n",
              "      <td id=\"T_eec6b_row4_col3\" class=\"data row4 col3\" >https://aleyaeyehospital.com/</td>\n",
              "      <td id=\"T_eec6b_row4_col4\" class=\"data row4 col4\" >yes</td>\n",
              "      <td id=\"T_eec6b_row4_col5\" class=\"data row4 col5\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col6\" class=\"data row4 col6\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col7\" class=\"data row4 col7\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col8\" class=\"data row4 col8\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col9\" class=\"data row4 col9\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col10\" class=\"data row4 col10\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col11\" class=\"data row4 col11\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col12\" class=\"data row4 col12\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col13\" class=\"data row4 col13\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col14\" class=\"data row4 col14\" >no</td>\n",
              "      <td id=\"T_eec6b_row4_col15\" class=\"data row4 col15\" >no</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "df.head().style.set_table_attributes(\"style='display:block; max-height:300px; overflow-y:auto;'\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "909bc85e-9477-4d31-b41f-fffa444f5269",
      "metadata": {
        "id": "909bc85e-9477-4d31-b41f-fffa444f5269"
      },
      "source": [
        "### Column Data Types"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6a969a5d-ea4a-4b62-9b90-0d9ae36bfbfa",
      "metadata": {
        "scrolled": true,
        "id": "6a969a5d-ea4a-4b62-9b90-0d9ae36bfbfa",
        "outputId": "997ad613-a12c-401c-9022-3f1953779408",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Column Data Types and Sample Values:\n",
            "id: int64, Example: 1\n",
            "name_of_the_institution: object, Example: Al-Rajhi Hospital Ltd.\n",
            "location: object, Example: Dhaka\n",
            "url: object, Example: https://alrajhihospital.com/\n",
            "appointment_booking: object, Example: yes\n",
            "find_doctors: object, Example: yes\n",
            "online_report: object, Example: yes\n",
            "telemedicine: object, Example: no\n",
            "online_consultation: object, Example: no\n",
            "online_payment: object, Example: no\n",
            "emergency_ambulance_service: object, Example: no\n",
            "health_record_card: object, Example: no\n",
            "home_service_booking: object, Example: no\n",
            "online_store: object, Example: no\n",
            "student_services: object, Example: no\n",
            "chatbot_assistant: object, Example: no\n"
          ]
        }
      ],
      "source": [
        "# Display data types and example values\n",
        "print(\"\\nColumn Data Types and Sample Values:\")\n",
        "for col in df.columns:\n",
        "    print(f\"{col}: {df[col].dtype}, Example: {df[col].iloc[0]}\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "da340246-c160-4049-b49d-2cb612d4f960",
      "metadata": {
        "id": "da340246-c160-4049-b49d-2cb612d4f960"
      },
      "source": [
        "### frequency of each unique location"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e101defb-d901-4979-b41f-ee1c2de3872b",
      "metadata": {
        "id": "e101defb-d901-4979-b41f-ee1c2de3872b",
        "outputId": "6082a2a2-2a0e-4d03-9e1f-b29f82462f8f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     Location  Frequency\n",
            "0       Dhaka         51\n",
            "1  Chattogram         12\n",
            "2  Mymensingh          7\n",
            "3      Khulna          5\n",
            "4    Rajshahi          5\n",
            "5      Sylhet          5\n",
            "6     Rangpur          1\n",
            "7    Barishal          1\n",
            "Total Unique Locations: 8\n"
          ]
        }
      ],
      "source": [
        "# Count the frequency of each unique location and display as a table\n",
        "location_distribution = df['location'].value_counts().reset_index()\n",
        "location_distribution.columns = ['Location', 'Frequency']\n",
        "print(location_distribution)\n",
        "total_locations = df['location'].nunique()\n",
        "print(\"Total Unique Locations:\", total_locations)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "42a0f632-6c2a-4793-b351-8102609bdab5",
      "metadata": {
        "id": "42a0f632-6c2a-4793-b351-8102609bdab5"
      },
      "source": [
        "<h3>Frequency of E-Health Features:</h3>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ac878e05-7b6b-4f85-9741-730932a3df82",
      "metadata": {
        "id": "ac878e05-7b6b-4f85-9741-730932a3df82",
        "outputId": "01aa60de-6e82-4795-dc58-76a87deda6f7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Frequency of E-Health Features:\n",
            "\n",
            "                    Feature  Count (Yes)  Percentage (%)\n",
            "        appointment_booking           82           94.25\n",
            "               find_doctors           50           57.47\n",
            "              online_report           24           27.59\n",
            "               telemedicine           12           13.79\n",
            "        online_consultation            8            9.20\n",
            "emergency_ambulance_service            6            6.90\n",
            "               online_store            5            5.75\n",
            "             online_payment            4            4.60\n",
            "       home_service_booking            3            3.45\n",
            "           student_services            3            3.45\n",
            "          chatbot_assistant            3            3.45\n",
            "         health_record_card            2            2.30\n"
          ]
        }
      ],
      "source": [
        "# Define the service feature columns (excluding ID, Name, Location, and URL)\n",
        "service_columns = df.columns[4:]\n",
        "\n",
        "# Calculate 'yes' counts and percentages\n",
        "count_yes = df[service_columns].apply(lambda x: x.value_counts().get('yes', 0)).fillna(0)\n",
        "total_hospitals = len(df)\n",
        "percentage_yes = (count_yes / total_hospitals) * 100\n",
        "\n",
        "# Create a result DataFrame\n",
        "result_df = pd.DataFrame({\n",
        "    'Feature': service_columns,\n",
        "    'Count (Yes)': count_yes.astype(int),\n",
        "    'Percentage (%)': percentage_yes.round(2)\n",
        "}).sort_values(by=\"Count (Yes)\", ascending=False)  # Sorted for better visualization\n",
        "\n",
        "# Display the result\n",
        "print(\"\\nFrequency of E-Health Features:\\n\")\n",
        "print(result_df.to_string(index=False))"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "925de3de-a57e-45fa-bfd0-d6a1ba39e5fa",
      "metadata": {
        "id": "925de3de-a57e-45fa-bfd0-d6a1ba39e5fa"
      },
      "source": [
        "## Result and discussion"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a5b07aed-3314-4791-b40b-7dc052b10130",
      "metadata": {
        "id": "a5b07aed-3314-4791-b40b-7dc052b10130"
      },
      "source": [
        "### Features across various institutions ( min , max, SD)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "525d8f14-e97b-4cc4-888c-db5077aabfee",
      "metadata": {
        "id": "525d8f14-e97b-4cc4-888c-db5077aabfee",
        "outputId": "9de13e74-707b-44c8-800f-0bf1b4234ea9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Maximum Number of Features: 6\n",
            "Minimum Number of Features: 1\n",
            "Standard Deviation of Features: 1.04\n",
            "\n",
            "🔹 Institution(s) with MAXIMUM Features:\n",
            "name_of_the_institution                            url\n",
            "       AMZ Hospital LTD https://www.amzhospitalbd.com/\n",
            "\n",
            "🔹 Institution(s) with MINIMUM Features:\n",
            "                             name_of_the_institution                                                   url\n",
            "        Al-Baraka Diagnostic & Hospital Complex Ltd.                       https://albarakadiagnostic.com/\n",
            "               Al-Helal Specialized Hospital Limited            https://alhelalhospitalbd.com/appointment/\n",
            "                                  Aleya Eye Hospital                         https://aleyaeyehospital.com/\n",
            "                              Samela Memorial Clinic                             https://samelaclinic.com/\n",
            "                                 Nova Medical Center                            https://novamedicalbd.com/\n",
            "                         Bangladesh City Hospital BD                   https://bangladeshcityhospital.com/\n",
            "Bangladesh Laser & Cell Surgery Institute & Hospital                               https://www.blcsbd.com/\n",
            "                 Bangladesh Medical College Hospital                               https://www.bmc-bd.org/\n",
            "       Bashundhara Eye Hospital & Research Institute                               https://www.vcf-bd.org/\n",
            "      AL-MADINA DIAGNOSTIC CENTRE & GENERAL HOSPITAL       https://almadinadiagnostic.com/website/about_us\n",
            "                            CENTRAL HOSPITAL LIMITED https://centralhospitalltdbd.com/make-an-appointment/\n",
            "                     Al-Baraka Diagnostic & Hospital                       https://albarakadiagnostic.com/\n",
            "                                Maa General Hospital         https://www.mageneralhospital.com/appointment\n",
            "                                 M A Rashid Hospital                         https://marashidhospital.com/\n",
            "                                Central Hospital Ltd https://centralhospitalltdbd.com/make-an-appointment/\n",
            "                                  Al-Madina Hospital                     https://fenialmadinahospital.com/\n",
            "                            CHITTAGONG BELLE VUE LTD          https://bellevuehospital.com.bd/our-doctors/\n",
            "              Alam Dental Care & Consultation Center                           https://alamdentalcare.com/\n",
            "                  Prime Hospital & Diagnostic Center                   https://primehospitalgaibandha.com/\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-15-c6f8824030bf>:18: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n",
            "  df_copy[feature_columns] = df_copy[feature_columns].applymap(lambda x: 1 if str(x).strip().lower() == 'yes' else 0)\n"
          ]
        }
      ],
      "source": [
        "\n",
        "# Feature columns\n",
        "feature_columns = [\n",
        "    'appointment_booking', 'find_doctors', 'online_report', 'telemedicine',\n",
        "    'online_consultation', 'online_payment', 'emergency_ambulance_service',\n",
        "    'health_record_card', 'home_service_booking', 'online_store',\n",
        "    'student_services', 'chatbot_assistant'\n",
        "]\n",
        "\n",
        "# Check if all feature columns exist\n",
        "missing_cols = [col for col in feature_columns if col not in df.columns]\n",
        "if missing_cols:\n",
        "    print(f\"Warning: These columns are missing from the dataset: {missing_cols}\")\n",
        "else:\n",
        "    # Create a copy of the dataframe to avoid modifying the original df\n",
        "    df_copy = df.copy()\n",
        "\n",
        "    # Convert \"yes\" to 1 and \"no\" to 0\n",
        "    df_copy[feature_columns] = df_copy[feature_columns].applymap(lambda x: 1 if str(x).strip().lower() == 'yes' else 0)\n",
        "\n",
        "    # Calculate feature count for each institution\n",
        "    df_copy['feature_count'] = df_copy[feature_columns].sum(axis=1)\n",
        "\n",
        "    # Get max, min, and standard deviation (rounded to 2 decimal places)\n",
        "    max_features = df_copy['feature_count'].max()\n",
        "    min_features = df_copy['feature_count'].min()\n",
        "    std_dev_features = round(df_copy['feature_count'].std(), 2)\n",
        "\n",
        "    # Find institution(s) with maximum and minimum features\n",
        "    max_inst = df_copy[df_copy['feature_count'] == max_features][['name_of_the_institution', 'url']]\n",
        "    min_inst = df_copy[df_copy['feature_count'] == min_features][['name_of_the_institution', 'url']]\n",
        "\n",
        "    # Print results\n",
        "    print(f\"Maximum Number of Features: {max_features}\")\n",
        "    print(f\"Minimum Number of Features: {min_features}\")\n",
        "    print(f\"Standard Deviation of Features: {std_dev_features}\\n\")\n",
        "\n",
        "    print(\"🔹 Institution(s) with MAXIMUM Features:\")\n",
        "    print(max_inst.to_string(index=False))\n",
        "\n",
        "    print(\"\\n🔹 Institution(s) with MINIMUM Features:\")\n",
        "    print(min_inst.to_string(index=False))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b52e9fcc-dcf9-4146-bd37-26093e80e86a",
      "metadata": {
        "id": "b52e9fcc-dcf9-4146-bd37-26093e80e86a",
        "outputId": "54bb5e61-1945-4517-dea7-b6f54ff7fffe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Correlation Matrix of Services:\n",
            "\n",
            "                             appointment_booking  find_doctors  online_report  \\\n",
            "appointment_booking                     1.000000     -0.012630      -0.068584   \n",
            "find_doctors                           -0.012630      1.000000       0.218836   \n",
            "online_report                          -0.068584      0.218836       1.000000   \n",
            "telemedicine                           -0.187669     -0.060449       0.051434   \n",
            "online_consultation                     0.078580     -0.128550      -0.107413   \n",
            "online_payment                          0.054209     -0.144186      -0.012703   \n",
            "emergency_ambulance_service             0.067206     -0.041130       0.034997   \n",
            "health_record_card                      0.037878     -0.023181      -0.094676   \n",
            "home_service_booking                    0.046666      0.035150       0.024300   \n",
            "online_store                            0.060976     -0.287053      -0.152410   \n",
            "student_services                       -0.223996     -0.219687      -0.116642   \n",
            "chatbot_assistant                       0.046666      0.162569       0.165243   \n",
            "\n",
            "                             telemedicine  online_consultation  \\\n",
            "appointment_booking             -0.187669             0.078580   \n",
            "find_doctors                    -0.060449            -0.128550   \n",
            "online_report                    0.051434            -0.107413   \n",
            "telemedicine                     1.000000             0.103422   \n",
            "online_consultation              0.103422             1.000000   \n",
            "online_payment                   0.071347            -0.069859   \n",
            "emergency_ambulance_service      0.417320             0.070370   \n",
            "health_record_card              -0.061357             0.216608   \n",
            "home_service_booking            -0.075593             0.157864   \n",
            "online_store                     0.044448             0.263241   \n",
            "student_services                 0.107090            -0.060138   \n",
            "chatbot_assistant                0.107090            -0.060138   \n",
            "\n",
            "                             online_payment  emergency_ambulance_service  \\\n",
            "appointment_booking                0.054209                     0.067206   \n",
            "find_doctors                      -0.144186                    -0.041130   \n",
            "online_report                     -0.012703                     0.034997   \n",
            "telemedicine                       0.071347                     0.417320   \n",
            "online_consultation               -0.069859                     0.070370   \n",
            "online_payment                     1.000000                    -0.059748   \n",
            "emergency_ambulance_service       -0.059748                     1.000000   \n",
            "health_record_card                -0.033674                     0.260927   \n",
            "home_service_booking              -0.041487                    -0.051434   \n",
            "online_store                      -0.054209                    -0.067206   \n",
            "student_services                   0.259294                    -0.051434   \n",
            "chatbot_assistant                 -0.041487                     0.197165   \n",
            "\n",
            "                             health_record_card  home_service_booking  \\\n",
            "appointment_booking                    0.037878              0.046666   \n",
            "find_doctors                          -0.023181              0.035150   \n",
            "online_report                         -0.094676              0.024300   \n",
            "telemedicine                          -0.061357             -0.075593   \n",
            "online_consultation                    0.216608              0.157864   \n",
            "online_payment                        -0.033674             -0.041487   \n",
            "emergency_ambulance_service            0.260927             -0.051434   \n",
            "health_record_card                     1.000000             -0.028989   \n",
            "home_service_booking                  -0.028989              1.000000   \n",
            "online_store                           0.291658              0.223996   \n",
            "student_services                      -0.028989             -0.035714   \n",
            "chatbot_assistant                     -0.028989             -0.035714   \n",
            "\n",
            "                             online_store  student_services  chatbot_assistant  \n",
            "appointment_booking              0.060976         -0.223996           0.046666  \n",
            "find_doctors                    -0.287053         -0.219687           0.162569  \n",
            "online_report                   -0.152410         -0.116642           0.165243  \n",
            "telemedicine                     0.044448          0.107090           0.107090  \n",
            "online_consultation              0.263241         -0.060138          -0.060138  \n",
            "online_payment                  -0.054209          0.259294          -0.041487  \n",
            "emergency_ambulance_service     -0.067206         -0.051434           0.197165  \n",
            "health_record_card               0.291658         -0.028989          -0.028989  \n",
            "home_service_booking             0.223996         -0.035714          -0.035714  \n",
            "online_store                     1.000000         -0.046666          -0.046666  \n",
            "student_services                -0.046666          1.000000          -0.035714  \n",
            "chatbot_assistant               -0.046666         -0.035714           1.000000  \n"
          ]
        }
      ],
      "source": [
        "# Standardize column names (strip spaces & lowercase)\n",
        "df.columns = df.columns.str.strip().str.lower()\n",
        "\n",
        "# Count of services offered by each institution\n",
        "service_counts = count_yes\n",
        "\n",
        "# Visualization - Count of services offered\n",
        "plt.figure(figsize=(12, 6))\n",
        "service_counts.plot(kind='bar', color=\"skyblue\", edgecolor=\"black\")\n",
        "plt.title('Count of Services Offered by Institutions')\n",
        "plt.xlabel('Services')\n",
        "plt.ylabel('Count')\n",
        "plt.xticks(rotation=45, ha=\"right\")\n",
        "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "1519a284-4ef9-4726-acd1-72dcc65d1716",
      "metadata": {
        "id": "1519a284-4ef9-4726-acd1-72dcc65d1716",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "994ed230-8b00-45fc-d645-86fc9c0d634a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Correlation Matrix of Services:\n",
            "\n",
            "                             appointment_booking  find_doctors  online_report  \\\n",
            "appointment_booking                     1.000000     -0.012630      -0.068584   \n",
            "find_doctors                           -0.012630      1.000000       0.218836   \n",
            "online_report                          -0.068584      0.218836       1.000000   \n",
            "telemedicine                           -0.187669     -0.060449       0.051434   \n",
            "online_consultation                     0.078580     -0.128550      -0.107413   \n",
            "online_payment                          0.054209     -0.144186      -0.012703   \n",
            "emergency_ambulance_service             0.067206     -0.041130       0.034997   \n",
            "health_record_card                      0.037878     -0.023181      -0.094676   \n",
            "home_service_booking                    0.046666      0.035150       0.024300   \n",
            "online_store                            0.060976     -0.287053      -0.152410   \n",
            "student_services                       -0.223996     -0.219687      -0.116642   \n",
            "chatbot_assistant                       0.046666      0.162569       0.165243   \n",
            "\n",
            "                             telemedicine  online_consultation  \\\n",
            "appointment_booking             -0.187669             0.078580   \n",
            "find_doctors                    -0.060449            -0.128550   \n",
            "online_report                    0.051434            -0.107413   \n",
            "telemedicine                     1.000000             0.103422   \n",
            "online_consultation              0.103422             1.000000   \n",
            "online_payment                   0.071347            -0.069859   \n",
            "emergency_ambulance_service      0.417320             0.070370   \n",
            "health_record_card              -0.061357             0.216608   \n",
            "home_service_booking            -0.075593             0.157864   \n",
            "online_store                     0.044448             0.263241   \n",
            "student_services                 0.107090            -0.060138   \n",
            "chatbot_assistant                0.107090            -0.060138   \n",
            "\n",
            "                             online_payment  emergency_ambulance_service  \\\n",
            "appointment_booking                0.054209                     0.067206   \n",
            "find_doctors                      -0.144186                    -0.041130   \n",
            "online_report                     -0.012703                     0.034997   \n",
            "telemedicine                       0.071347                     0.417320   \n",
            "online_consultation               -0.069859                     0.070370   \n",
            "online_payment                     1.000000                    -0.059748   \n",
            "emergency_ambulance_service       -0.059748                     1.000000   \n",
            "health_record_card                -0.033674                     0.260927   \n",
            "home_service_booking              -0.041487                    -0.051434   \n",
            "online_store                      -0.054209                    -0.067206   \n",
            "student_services                   0.259294                    -0.051434   \n",
            "chatbot_assistant                 -0.041487                     0.197165   \n",
            "\n",
            "                             health_record_card  home_service_booking  \\\n",
            "appointment_booking                    0.037878              0.046666   \n",
            "find_doctors                          -0.023181              0.035150   \n",
            "online_report                         -0.094676              0.024300   \n",
            "telemedicine                          -0.061357             -0.075593   \n",
            "online_consultation                    0.216608              0.157864   \n",
            "online_payment                        -0.033674             -0.041487   \n",
            "emergency_ambulance_service            0.260927             -0.051434   \n",
            "health_record_card                     1.000000             -0.028989   \n",
            "home_service_booking                  -0.028989              1.000000   \n",
            "online_store                           0.291658              0.223996   \n",
            "student_services                      -0.028989             -0.035714   \n",
            "chatbot_assistant                     -0.028989             -0.035714   \n",
            "\n",
            "                             online_store  student_services  chatbot_assistant  \n",
            "appointment_booking              0.060976         -0.223996           0.046666  \n",
            "find_doctors                    -0.287053         -0.219687           0.162569  \n",
            "online_report                   -0.152410         -0.116642           0.165243  \n",
            "telemedicine                     0.044448          0.107090           0.107090  \n",
            "online_consultation              0.263241         -0.060138          -0.060138  \n",
            "online_payment                  -0.054209          0.259294          -0.041487  \n",
            "emergency_ambulance_service     -0.067206         -0.051434           0.197165  \n",
            "health_record_card               0.291658         -0.028989          -0.028989  \n",
            "home_service_booking             0.223996         -0.035714          -0.035714  \n",
            "online_store                     1.000000         -0.046666          -0.046666  \n",
            "student_services                -0.046666          1.000000          -0.035714  \n",
            "chatbot_assistant               -0.046666         -0.035714           1.000000  \n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Correlation matrix for services (Convert 'yes'/'no' to 1/0)\n",
        "df_services = df[service_columns].apply(lambda x: x.map({'yes': 1, 'no': 0}))\n",
        "correlation_matrix = df_services.corr()\n",
        "\n",
        "print(\"\\nCorrelation Matrix of Services:\\n\")\n",
        "print(correlation_matrix)\n",
        "\n",
        "# Visualization - Correlation Matrix\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\", linewidths=0.5)\n",
        "plt.title('Correlation Matrix of Services')\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "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": "3.9.0"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}