{
  "nbformat": 4,
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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## **Assignment #1: EDA & Dataset**\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "w84cR3AZIU0e"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Overview**\n",
        "\n",
        "In this first assignment, you will gain hands-on experience selecting and preparing a dataset, performing exploratory data analysis (EDA), adding it to HF's Datasets, and presenting your findings in a short video.\n",
        "\n",
        "Through these steps, you’ll begin building essential data science skills in Python.\n",
        "\n",
        "Think of your notebook as a cohesive story where EDA reveals the narrative of your data, which provides the resolution to the main question or goal."
      ],
      "metadata": {
        "id": "n7afdXdxIbLA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Objectives**\n",
        "\n",
        "1. Explore various data tools/hubs (e.g., Kaggle, UCI, or local data) to find a suitable dataset.\n",
        "2. Prepare the selected dataset, focusing on cleaning, transformation, manipulation, and quality.\n",
        "3. Build foundational EDA skills, including  missing data, outlier handling, and clear data visualization.\n",
        "4. Upload your work and your dataset to HuggingFace.\n",
        "5. Communicate findings concisely in both a structured notebook, README file,  and a short video presentation, demonstrating clarity in each step of the workflow."
      ],
      "metadata": {
        "id": "lJAPMumvIUyW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Submission Guidelines**\n",
        "\n",
        "1. Please note that this is an individual assignment.\n",
        "2. Submit a text file with your info and the link to HF's dataset.\n",
        "3. The dataset will include all of your work.\n",
        "  - **Python Notebook**: a well-structured notebook (e.g.`.ipynb` file) with clear comments or markdown explanations of each step.\n",
        "  - **Video Link**: the README file will include your short video presentation at the beginning of the file.\n",
        "4. **Oral Report**: Students may be randomly chosen to present their work in a quick online session with the T.A., typically lasting ±10 minutes.\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "MwRmaJBiIjMR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Evaluation Criteria**\n",
        "\n",
        "- **Organization & Clarity (20%)**: Overall structure of your HF Dataset, code, notebook, clear communication, and a concise summary.\n",
        "- **Data Handling (30%)**: Quality of data cleaning, appropriate handling of outliers, and more.\n",
        "- **Visualizations (30%)**: well-presented relevant visuals.\n",
        "- **Presentation (20%)**: Clearly communicated approach and findings in your 2–3 minute overview.\n",
        "\n"
      ],
      "metadata": {
        "id": "hD9SZmagIjOV"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Additional Tips**\n",
        "\n",
        "- The first thing you should do is download a copy of this notebook to your drive.\n",
        "- Keep your dataset size manageable. If the dataset is large, you can sample a subset.\n",
        "- A few clear visuals are more effective than many complicated ones.\n",
        "- Ask for help or feedback early if you get stuck."
      ],
      "metadata": {
        "id": "h3vpVHSxIUwI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>\n",
        "\n",
        "---\n",
        "\n",
        "Reminder: Always start with copy the NOTEBOOK to your drive."
      ],
      "metadata": {
        "id": "6kUonEv8Ipkp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "RMcHZdKiaPNW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---\n",
        "\n",
        "<br><br><br>"
      ],
      "metadata": {
        "id": "7ql9QlVfaSEL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 1: Select a Dataset**\n",
        "\n",
        "1. Choose a numeric tabular dataset, such as the . If you prefer, you may use other open-source datasets; [Hugginface](https://huggingface.co/datasets?task_categories=task_categories:tabular-classification&sort=trending), [Kaggle](https://www.kaggle.com/datasets?tags=13302-Classification&minUsabilityRating=8.00+or+higher), etc.\n",
        "\n",
        "\n",
        "    Examples for a good dataset:\n",
        "      - \"Determine a genre of a song\"\n",
        "      - \"Determine the type of flowers\"\n",
        "      - \"Determine the animal - cat or dog\"\n",
        "      - \"Determine the category of a product\"\n",
        "      - \"Determine if an email is spam or not spam\"\n",
        "      - \"Determine whether a tumor is malignant or benign\"\n",
        "      - \"Determine whether a transaction is fraudulent or not\"\n",
        "      - \"Determine whether a student is likely to pass a course\"\n",
        "\n",
        "2. Avoid choosing a \"basic\"/\"small\" dataset.\n",
        "      - 1K rows and more.\n",
        "      - 10 features and more.\n",
        "\n",
        "\n",
        "3. Please submit your dataset [here](https://forms.gle/YYiRLXJnbwUfwuwc7), to share it with the class so everyone can see.\n",
        "And make sure your chosen dataset is unique using this [link](https://docs.google.com/spreadsheets/d/1M8uojrzhSyVnOlSAJpzCKxrhWdzPR77k4x8Kxvr8VDk/edit?usp=sharing).\n",
        "\n",
        "      *Note: Due to their popularity, the following are datasets you may not choose.*\n",
        "      > - Iris dataset\n",
        "      > - Wine dataset\n",
        "      > - Titanic dataset\n",
        "      > - Boston Housing dataset\n",
        "\n",
        "4. Choose a dataset with moslty numaric values. This way you would have enough information to work on, and you could drop columns that aren't numeric.\n",
        "\n",
        "5. Briefly describe your chosen dataset (source, size, features) and the question you want to answer.\n",
        "\n",
        "6. Clearly identify the target variable to predict (if exists).\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "a_vsO0Q1IOMT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "GFaHgQJyKwa5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "metadata": {
        "id": "OI0MZzohKwfE",
        "outputId": "d199571b-0df0-491b-c6b6-e5f954db93c3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        }
      },
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-910e4d8e-8e10-47fb-95e6-4b715e407eb5\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-910e4d8e-8e10-47fb-95e6-4b715e407eb5\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kaggle.json to kaggle (2).json\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle (2).json': b'{\"username\":\"guyshilo123\",\"key\":\"f9d2a982d6df830bf0a99a1c9547d96a\"}'}"
            ]
          },
          "metadata": {},
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "Lgum4x_tKwjL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir -p ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/\n",
        "!chmod 600 ~/.kaggle/kaggle.json"
      ],
      "metadata": {
        "id": "SWIrnfSLKwnE"
      },
      "execution_count": 138,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q kaggle\n",
        "!kaggle datasets list | head"
      ],
      "metadata": {
        "id": "5Cuok38kvAwG",
        "outputId": "72dec444-7b74-4ebb-fbfa-3974a8b74a92",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 139,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ref                                                             title                                                     size  lastUpdated                 downloadCount  voteCount  usabilityRating  \n",
            "--------------------------------------------------------------  --------------------------------------------------  ----------  --------------------------  -------------  ---------  ---------------  \n",
            "sadiajavedd/students-academic-performance-dataset               Students_Academic_Performance_Dataset                     8907  2025-10-23 04:16:35.563000           5892        139  1.0              \n",
            "ayeshaimran123/social-media-and-mental-health-balance           Social Media and Mental Health Balance                    5941  2025-10-26 07:51:53.380000           6208         89  1.0              \n",
            "nalisha/shopping-behaviour-and-product-ranking-dateset          Shopping Behaviour and Product Ranking Dateset .         67263  2025-11-12 17:47:25.227000            972         48  1.0              \n",
            "shahzadi786/world-smartphone-market-2025                        World Smartphone Market 2025                             17795  2025-11-09 04:52:42.650000           2438         70  1.0              \n",
            "ayeshasiddiqa123/cars-pre                                       Car Price Analysis Dataset                               46557  2025-11-06 16:38:07.487000           1916         52  1.0              \n",
            "umuttuygurr/city-lifestyle-segmentation-dataset                 🌆 City Lifestyle Segmentation Dataset                    11274  2025-11-15 10:52:54.243000            510         24  1.0              \n",
            "umuttuygurr/e-commerce-customer-behavior-and-sales-analysis-tr  E-Commerce Customer Behavior & Sales Analysis -TR       584451  2025-11-09 07:40:27.120000           4345         85  1.0              \n",
            "khushikyad001/ai-impact-on-jobs-2030                            AI Impact on Jobs 2030                                   87410  2025-11-09 17:58:05.410000           1175         36  1.0              \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!kaggle datasets download -d mohankrishnathalla/diabetes-health-indicators-dataset\n",
        "!unzip -o diabetes-health-indicators-dataset.zip"
      ],
      "metadata": {
        "id": "kDYIcz_SvvdV",
        "outputId": "cd4a6f06-ac46-4bc0-e409-a915bc967bb8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 140,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/mohankrishnathalla/diabetes-health-indicators-dataset\n",
            "License(s): CC0-1.0\n",
            "diabetes-health-indicators-dataset.zip: Skipping, found more recently modified local copy (use --force to force download)\n",
            "Archive:  diabetes-health-indicators-dataset.zip\n",
            "  inflating: diabetes_dataset.csv    \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df = pd.read_csv(\"diabetes_dataset.csv\")\n",
        "df.head(), df.shape"
      ],
      "metadata": {
        "id": "0At9AayEwf1-",
        "outputId": "6469d212-d443-4a32-e4e3-a58f66f7e0e4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(   age  gender ethnicity education_level  income_level employment_status  \\\n",
              " 0   58    Male     Asian      Highschool  Lower-Middle          Employed   \n",
              " 1   48  Female     White      Highschool        Middle          Employed   \n",
              " 2   60    Male  Hispanic      Highschool        Middle        Unemployed   \n",
              " 3   74  Female     Black      Highschool           Low           Retired   \n",
              " 4   46    Male     White        Graduate        Middle           Retired   \n",
              " \n",
              "   smoking_status  alcohol_consumption_per_week  \\\n",
              " 0          Never                             0   \n",
              " 1         Former                             1   \n",
              " 2          Never                             1   \n",
              " 3          Never                             0   \n",
              " 4          Never                             1   \n",
              " \n",
              "    physical_activity_minutes_per_week  diet_score  ...  hdl_cholesterol  \\\n",
              " 0                                 215         5.7  ...               41   \n",
              " 1                                 143         6.7  ...               55   \n",
              " 2                                  57         6.4  ...               66   \n",
              " 3                                  49         3.4  ...               50   \n",
              " 4                                 109         7.2  ...               52   \n",
              " \n",
              "    ldl_cholesterol  triglycerides  glucose_fasting  glucose_postprandial  \\\n",
              " 0              160            145              136                   236   \n",
              " 1               50             30               93                   150   \n",
              " 2               99             36              118                   195   \n",
              " 3               79            140              139                   253   \n",
              " 4              125            160              137                   184   \n",
              " \n",
              "    insulin_level  hba1c  diabetes_risk_score  diabetes_stage  \\\n",
              " 0           6.36   8.18                 29.6          Type 2   \n",
              " 1           2.00   5.63                 23.0     No Diabetes   \n",
              " 2           5.07   7.51                 44.7          Type 2   \n",
              " 3           5.28   9.03                 38.2          Type 2   \n",
              " 4          12.74   7.20                 23.5          Type 2   \n",
              " \n",
              "    diagnosed_diabetes  \n",
              " 0                   1  \n",
              " 1                   0  \n",
              " 2                   1  \n",
              " 3                   1  \n",
              " 4                   1  \n",
              " \n",
              " [5 rows x 31 columns],\n",
              " (100000, 31))"
            ]
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>\n",
        "\n",
        "---\n",
        "\n",
        "<br><br><br>"
      ],
      "metadata": {
        "id": "4t2QNyE6IPKS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 2: Exploratory Data Analysis (EDA)**\n",
        "\n",
        "Use your EDA to tell the story of your data - highlight interesting patterns, anomalies, or relationships that lead you toward your classification goal. Ask interesting questions, and answer them.\n",
        "\n",
        "\n",
        "1. **Data Cleaning** : Check for missing values, duplicate entries, scaling/normalize issues,  parsing dates, fixing typos, or any inconsistencies.  Document how you address them.\n",
        "2. **Outlier Detection & Handling**: Identify outliers and decide whether to keep or remove them, providing a short justification.\n",
        "3. **Descriptive Statistics**: Summarize the data (e.g., mean, median, correlations) to reveal patterns.\n",
        "4. Read further on [A Comprehensive Guide to Mastering Exploratory Data Analysis](https://www.dasca.org/world-of-data-science/article/a-comprehensive-guide-to-mastering-exploratory-data-analysis).\n",
        "5. **Visualizations**: Use a set of  plots (e.g., histograms, scatter plots, box plots) to illustrate **key insights.** Label charts, axes, and legends clearly.\n",
        "\n",
        "Tip: not necessarily in this order."
      ],
      "metadata": {
        "id": "6eLmNWJJIPS0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "e3JpM_9Wl84T"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Research Questions for the Diabetes Health Indicators Project\n",
        "\n",
        "1) Family History & Diabetes: Do people with a family history of diabetes have a higher likelihood of developing the disease?\n",
        "\n",
        "2) BMI & Physical Activity: How do BMI and physical activity levels together influence the likelihood of having diabetes?\n",
        "\n",
        "3) Diet Score: Does a healthier diet (higher diet score) reduce the risk of diabetes?\n",
        "\n",
        "4) Age Groups: In which age groups is diabetes most common, and how does diabetes stage vary with age?\n",
        "\n",
        "5) Gender Differences:  Are there significant differences between males and females in diabetes prevalence or in key health indicators (like glucose, BMI, HbA1c)?\n",
        "\n",
        "6) Socioeconomic: Does income level affect the likelihood of having diabetes?\n",
        "\n",
        "7) Smoking & Alcohol Consumption: How do smoking and alcohol consumption relate to diabetes risk?\n",
        "\n",
        "8) Feature Importance: Which features have the strongest relationship with diabetes risk?\n",
        "\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "fUEbi2wOhssS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "497671ce-0fe9-4d1a-e65b-b6c6bcd69bde"
      },
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'\\nResearch Questions for the Diabetes Health Indicators Project\\n\\n1) Family History & Diabetes: Do people with a family history of diabetes have a higher likelihood of developing the disease?\\n\\n2) BMI & Physical Activity: How do BMI and physical activity levels together influence the likelihood of having diabetes?\\n\\n3) Diet Score: Does a healthier diet (higher diet score) reduce the risk of diabetes?\\n\\n4) Age Groups: In which age groups is diabetes most common, and how does diabetes stage vary with age?\\n\\n5) Gender Differences:  Are there significant differences between males and females in diabetes prevalence or in key health indicators (like glucose, BMI, HbA1c)?\\n\\n6) Socioeconomic: Does income level affect the likelihood of having diabetes?\\n\\n7) Smoking & Alcohol Consumption: How do smoking and alcohol consumption relate to diabetes risk?\\n\\n8) Feature Importance: Which features have the strongest relationship with diabetes risk?\\n\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "w69eaRq6hr9K"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "id": "Qe5k-9DLK07M",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "outputId": "46338801-bb3e-4412-c0f5-cd7615cbdf67"
      },
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   age  gender ethnicity education_level  income_level employment_status  \\\n",
              "0   58    Male     Asian      Highschool  Lower-Middle          Employed   \n",
              "1   48  Female     White      Highschool        Middle          Employed   \n",
              "2   60    Male  Hispanic      Highschool        Middle        Unemployed   \n",
              "3   74  Female     Black      Highschool           Low           Retired   \n",
              "4   46    Male     White        Graduate        Middle           Retired   \n",
              "\n",
              "  smoking_status  alcohol_consumption_per_week  \\\n",
              "0          Never                             0   \n",
              "1         Former                             1   \n",
              "2          Never                             1   \n",
              "3          Never                             0   \n",
              "4          Never                             1   \n",
              "\n",
              "   physical_activity_minutes_per_week  diet_score  ...  hdl_cholesterol  \\\n",
              "0                                 215         5.7  ...               41   \n",
              "1                                 143         6.7  ...               55   \n",
              "2                                  57         6.4  ...               66   \n",
              "3                                  49         3.4  ...               50   \n",
              "4                                 109         7.2  ...               52   \n",
              "\n",
              "   ldl_cholesterol  triglycerides  glucose_fasting  glucose_postprandial  \\\n",
              "0              160            145              136                   236   \n",
              "1               50             30               93                   150   \n",
              "2               99             36              118                   195   \n",
              "3               79            140              139                   253   \n",
              "4              125            160              137                   184   \n",
              "\n",
              "   insulin_level  hba1c  diabetes_risk_score  diabetes_stage  \\\n",
              "0           6.36   8.18                 29.6          Type 2   \n",
              "1           2.00   5.63                 23.0     No Diabetes   \n",
              "2           5.07   7.51                 44.7          Type 2   \n",
              "3           5.28   9.03                 38.2          Type 2   \n",
              "4          12.74   7.20                 23.5          Type 2   \n",
              "\n",
              "   diagnosed_diabetes  \n",
              "0                   1  \n",
              "1                   0  \n",
              "2                   1  \n",
              "3                   1  \n",
              "4                   1  \n",
              "\n",
              "[5 rows x 31 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b063f698-7efe-488d-9022-6b6f018b8495\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>gender</th>\n",
              "      <th>ethnicity</th>\n",
              "      <th>education_level</th>\n",
              "      <th>income_level</th>\n",
              "      <th>employment_status</th>\n",
              "      <th>smoking_status</th>\n",
              "      <th>alcohol_consumption_per_week</th>\n",
              "      <th>physical_activity_minutes_per_week</th>\n",
              "      <th>diet_score</th>\n",
              "      <th>...</th>\n",
              "      <th>hdl_cholesterol</th>\n",
              "      <th>ldl_cholesterol</th>\n",
              "      <th>triglycerides</th>\n",
              "      <th>glucose_fasting</th>\n",
              "      <th>glucose_postprandial</th>\n",
              "      <th>insulin_level</th>\n",
              "      <th>hba1c</th>\n",
              "      <th>diabetes_risk_score</th>\n",
              "      <th>diabetes_stage</th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>58</td>\n",
              "      <td>Male</td>\n",
              "      <td>Asian</td>\n",
              "      <td>Highschool</td>\n",
              "      <td>Lower-Middle</td>\n",
              "      <td>Employed</td>\n",
              "      <td>Never</td>\n",
              "      <td>0</td>\n",
              "      <td>215</td>\n",
              "      <td>5.7</td>\n",
              "      <td>...</td>\n",
              "      <td>41</td>\n",
              "      <td>160</td>\n",
              "      <td>145</td>\n",
              "      <td>136</td>\n",
              "      <td>236</td>\n",
              "      <td>6.36</td>\n",
              "      <td>8.18</td>\n",
              "      <td>29.6</td>\n",
              "      <td>Type 2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>48</td>\n",
              "      <td>Female</td>\n",
              "      <td>White</td>\n",
              "      <td>Highschool</td>\n",
              "      <td>Middle</td>\n",
              "      <td>Employed</td>\n",
              "      <td>Former</td>\n",
              "      <td>1</td>\n",
              "      <td>143</td>\n",
              "      <td>6.7</td>\n",
              "      <td>...</td>\n",
              "      <td>55</td>\n",
              "      <td>50</td>\n",
              "      <td>30</td>\n",
              "      <td>93</td>\n",
              "      <td>150</td>\n",
              "      <td>2.00</td>\n",
              "      <td>5.63</td>\n",
              "      <td>23.0</td>\n",
              "      <td>No Diabetes</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>60</td>\n",
              "      <td>Male</td>\n",
              "      <td>Hispanic</td>\n",
              "      <td>Highschool</td>\n",
              "      <td>Middle</td>\n",
              "      <td>Unemployed</td>\n",
              "      <td>Never</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>6.4</td>\n",
              "      <td>...</td>\n",
              "      <td>66</td>\n",
              "      <td>99</td>\n",
              "      <td>36</td>\n",
              "      <td>118</td>\n",
              "      <td>195</td>\n",
              "      <td>5.07</td>\n",
              "      <td>7.51</td>\n",
              "      <td>44.7</td>\n",
              "      <td>Type 2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>74</td>\n",
              "      <td>Female</td>\n",
              "      <td>Black</td>\n",
              "      <td>Highschool</td>\n",
              "      <td>Low</td>\n",
              "      <td>Retired</td>\n",
              "      <td>Never</td>\n",
              "      <td>0</td>\n",
              "      <td>49</td>\n",
              "      <td>3.4</td>\n",
              "      <td>...</td>\n",
              "      <td>50</td>\n",
              "      <td>79</td>\n",
              "      <td>140</td>\n",
              "      <td>139</td>\n",
              "      <td>253</td>\n",
              "      <td>5.28</td>\n",
              "      <td>9.03</td>\n",
              "      <td>38.2</td>\n",
              "      <td>Type 2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>46</td>\n",
              "      <td>Male</td>\n",
              "      <td>White</td>\n",
              "      <td>Graduate</td>\n",
              "      <td>Middle</td>\n",
              "      <td>Retired</td>\n",
              "      <td>Never</td>\n",
              "      <td>1</td>\n",
              "      <td>109</td>\n",
              "      <td>7.2</td>\n",
              "      <td>...</td>\n",
              "      <td>52</td>\n",
              "      <td>125</td>\n",
              "      <td>160</td>\n",
              "      <td>137</td>\n",
              "      <td>184</td>\n",
              "      <td>12.74</td>\n",
              "      <td>7.20</td>\n",
              "      <td>23.5</td>\n",
              "      <td>Type 2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 31 columns</p>\n",
              "</div>\n",
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              "  </style>\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b063f698-7efe-488d-9022-6b6f018b8495');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "  }\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
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              "            console.error('Error during call to suggestCharts:', error);\n",
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              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Research:** Pose relevant questions about your dataset, then answer them using visual elements (e.g. charts or plots) to provide clear insights.\n",
        "\n",
        "For example, in the 2nd lecture the entire class took a survey. Then, we talked about the collected data and desplayed the collected data using the right **plots** - Lines, Bars, Hist, Pie, Map, HeatMap, Area, Time, etc.\n",
        "\n",
        "An aditional more specific example, would be the questions we asked during the recitation on the `Titanic` dataset:\n",
        "  - \"Did survival rates differ by gender?\"\n",
        "  - \"Was passenger class related to survival?\"\n",
        "  - \"What was the age distribution of survivors vs. non-survivors?\"\n",
        "  - \"Did embarking location (port) have any effect on survival?\"    \n",
        "  \n",
        "And how we answered those questions using **plots**.\n",
        "\n",
        "The idea is to pose questions that can uncover patterns, correlations, or anomalies in your dataset, then back those up with clean, insightful visualizations."
      ],
      "metadata": {
        "id": "lo68PsjTK0_j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "id": "0ch5l8tIK1Dt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c1ec8aef-e2e3-4c73-e2ce-1e7c4b7d0d12"
      },
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(100000, 31)"
            ]
          },
          "metadata": {},
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "_M62cZH7mc12"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "id": "5diQ4kRlmc6z",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "62804979-a7a2-4d0e-b0c3-19ab8fc95db3"
      },
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['age', 'gender', 'ethnicity', 'education_level', 'income_level',\n",
              "       'employment_status', 'smoking_status', 'alcohol_consumption_per_week',\n",
              "       'physical_activity_minutes_per_week', 'diet_score',\n",
              "       'sleep_hours_per_day', 'screen_time_hours_per_day',\n",
              "       'family_history_diabetes', 'hypertension_history',\n",
              "       'cardiovascular_history', 'bmi', 'waist_to_hip_ratio', 'systolic_bp',\n",
              "       'diastolic_bp', 'heart_rate', 'cholesterol_total', 'hdl_cholesterol',\n",
              "       'ldl_cholesterol', 'triglycerides', 'glucose_fasting',\n",
              "       'glucose_postprandial', 'insulin_level', 'hba1c', 'diabetes_risk_score',\n",
              "       'diabetes_stage', 'diagnosed_diabetes'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()\n",
        "# here i found out that there is no Null at all in the data set"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ywev2_abG0Y-",
        "outputId": "dc24ca84-3def-42a5-b9f1-8ca3149d79c6"
      },
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 100000 entries, 0 to 99999\n",
            "Data columns (total 31 columns):\n",
            " #   Column                              Non-Null Count   Dtype  \n",
            "---  ------                              --------------   -----  \n",
            " 0   age                                 100000 non-null  int64  \n",
            " 1   gender                              100000 non-null  object \n",
            " 2   ethnicity                           100000 non-null  object \n",
            " 3   education_level                     100000 non-null  object \n",
            " 4   income_level                        100000 non-null  object \n",
            " 5   employment_status                   100000 non-null  object \n",
            " 6   smoking_status                      100000 non-null  object \n",
            " 7   alcohol_consumption_per_week        100000 non-null  int64  \n",
            " 8   physical_activity_minutes_per_week  100000 non-null  int64  \n",
            " 9   diet_score                          100000 non-null  float64\n",
            " 10  sleep_hours_per_day                 100000 non-null  float64\n",
            " 11  screen_time_hours_per_day           100000 non-null  float64\n",
            " 12  family_history_diabetes             100000 non-null  int64  \n",
            " 13  hypertension_history                100000 non-null  int64  \n",
            " 14  cardiovascular_history              100000 non-null  int64  \n",
            " 15  bmi                                 100000 non-null  float64\n",
            " 16  waist_to_hip_ratio                  100000 non-null  float64\n",
            " 17  systolic_bp                         100000 non-null  int64  \n",
            " 18  diastolic_bp                        100000 non-null  int64  \n",
            " 19  heart_rate                          100000 non-null  int64  \n",
            " 20  cholesterol_total                   100000 non-null  int64  \n",
            " 21  hdl_cholesterol                     100000 non-null  int64  \n",
            " 22  ldl_cholesterol                     100000 non-null  int64  \n",
            " 23  triglycerides                       100000 non-null  int64  \n",
            " 24  glucose_fasting                     100000 non-null  int64  \n",
            " 25  glucose_postprandial                100000 non-null  int64  \n",
            " 26  insulin_level                       100000 non-null  float64\n",
            " 27  hba1c                               100000 non-null  float64\n",
            " 28  diabetes_risk_score                 100000 non-null  float64\n",
            " 29  diabetes_stage                      100000 non-null  object \n",
            " 30  diagnosed_diabetes                  100000 non-null  int64  \n",
            "dtypes: float64(8), int64(16), object(7)\n",
            "memory usage: 23.7+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()\n",
        "# just making sure there is really no Null at all at the data set"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "FvFPjbHiG0bv",
        "outputId": "24d08a6f-9bcf-4971-b2ba-bf8862bd2395"
      },
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age                                   0\n",
              "gender                                0\n",
              "ethnicity                             0\n",
              "education_level                       0\n",
              "income_level                          0\n",
              "employment_status                     0\n",
              "smoking_status                        0\n",
              "alcohol_consumption_per_week          0\n",
              "physical_activity_minutes_per_week    0\n",
              "diet_score                            0\n",
              "sleep_hours_per_day                   0\n",
              "screen_time_hours_per_day             0\n",
              "family_history_diabetes               0\n",
              "hypertension_history                  0\n",
              "cardiovascular_history                0\n",
              "bmi                                   0\n",
              "waist_to_hip_ratio                    0\n",
              "systolic_bp                           0\n",
              "diastolic_bp                          0\n",
              "heart_rate                            0\n",
              "cholesterol_total                     0\n",
              "hdl_cholesterol                       0\n",
              "ldl_cholesterol                       0\n",
              "triglycerides                         0\n",
              "glucose_fasting                       0\n",
              "glucose_postprandial                  0\n",
              "insulin_level                         0\n",
              "hba1c                                 0\n",
              "diabetes_risk_score                   0\n",
              "diabetes_stage                        0\n",
              "diagnosed_diabetes                    0\n",
              "dtype: int64"
            ],
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    <tr>\n",
              "      <th>diet_score</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sleep_hours_per_day</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>screen_time_hours_per_day</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>family_history_diabetes</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hypertension_history</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cardiovascular_history</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bmi</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>waist_to_hip_ratio</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>systolic_bp</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diastolic_bp</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>heart_rate</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cholesterol_total</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hdl_cholesterol</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ldl_cholesterol</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>triglycerides</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>glucose_fasting</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>glucose_postprandial</th>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>insulin_level</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hba1c</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diabetes_risk_score</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diabetes_stage</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.duplicated().sum()\n",
        "# checking if in mistake there is a duplicate row. it a really big data set so it can happen easily"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MYWWEKnYG0em",
        "outputId": "ca9da79f-dbdd-4d02-f360-525cdc0a8578"
      },
      "execution_count": 148,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(0)"
            ]
          },
          "metadata": {},
          "execution_count": 148
        }
      ]
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      "cell_type": "code",
      "source": [
        "df['age'].describe()\n",
        "# checking if there is unrealistic data that can be easily recoginzed in max and min values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "VN2jblSJG0hQ",
        "outputId": "423d531f-f467-494a-ce3c-2b61193bb809"
      },
      "execution_count": 149,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    100000.00000\n",
              "mean         50.12041\n",
              "std          15.60460\n",
              "min          18.00000\n",
              "25%          39.00000\n",
              "50%          50.00000\n",
              "75%          61.00000\n",
              "max          90.00000\n",
              "Name: age, dtype: float64"
            ],
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              "count    100000.000000\n",
              "mean         25.612653\n",
              "std           3.586705\n",
              "min          15.000000\n",
              "25%          23.200000\n",
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        "id": "RatUO0FgIsh-",
        "outputId": "f6c50b43-7a74-414a-bbb4-e375311f7f4d"
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      "execution_count": 151,
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              "count    100000.00000\n",
              "mean        111.11712\n",
              "std          13.59561\n",
              "min          60.00000\n",
              "25%         102.00000\n",
              "50%         111.00000\n",
              "75%         120.00000\n",
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              "Name: glucose_fasting, dtype: float64"
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      "execution_count": 152,
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              "count    100000.000000\n",
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              "std          30.935472\n",
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      },
      "execution_count": 153,
      "outputs": [
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          "output_type": "execute_result",
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            "text/plain": [
              "                age  alcohol_consumption_per_week  \\\n",
              "count  100000.00000                 100000.000000   \n",
              "mean       50.12041                      2.003670   \n",
              "std        15.60460                      1.417779   \n",
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              "\n",
              "       physical_activity_minutes_per_week     diet_score  sleep_hours_per_day  \\\n",
              "count                       100000.000000  100000.000000        100000.000000   \n",
              "mean                           118.911640       5.994787             6.997818   \n",
              "std                             84.409662       1.780954             1.094622   \n",
              "min                              0.000000       0.000000             3.000000   \n",
              "25%                             57.000000       4.800000             6.300000   \n",
              "50%                            100.000000       6.000000             7.000000   \n",
              "75%                            160.000000       7.200000             7.700000   \n",
              "max                            833.000000      10.000000            10.000000   \n",
              "\n",
              "       screen_time_hours_per_day  family_history_diabetes  \\\n",
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              "mean                    5.996468                 0.219410   \n",
              "std                     2.468406                 0.413849   \n",
              "min                     0.500000                 0.000000   \n",
              "25%                     4.300000                 0.000000   \n",
              "50%                     6.000000                 0.000000   \n",
              "75%                     7.700000                 0.000000   \n",
              "max                    16.800000                 1.000000   \n",
              "\n",
              "       hypertension_history  cardiovascular_history            bmi  ...  \\\n",
              "count         100000.000000           100000.000000  100000.000000  ...   \n",
              "mean               0.250800                0.079200      25.612653  ...   \n",
              "std                0.433476                0.270052       3.586705  ...   \n",
              "min                0.000000                0.000000      15.000000  ...   \n",
              "25%                0.000000                0.000000      23.200000  ...   \n",
              "50%                0.000000                0.000000      25.600000  ...   \n",
              "75%                1.000000                0.000000      28.000000  ...   \n",
              "max                1.000000                1.000000      39.200000  ...   \n",
              "\n",
              "       cholesterol_total  hdl_cholesterol  ldl_cholesterol  triglycerides  \\\n",
              "count      100000.000000    100000.000000    100000.000000  100000.000000   \n",
              "mean          185.978110        54.042790       103.000430     121.462650   \n",
              "std            32.013005        10.267374        33.390256      43.372619   \n",
              "min           100.000000        20.000000        50.000000      30.000000   \n",
              "25%           164.000000        47.000000        78.000000      91.000000   \n",
              "50%           186.000000        54.000000       102.000000     121.000000   \n",
              "75%           208.000000        61.000000       126.000000     151.000000   \n",
              "max           318.000000        98.000000       263.000000     344.000000   \n",
              "\n",
              "       glucose_fasting  glucose_postprandial  insulin_level          hba1c  \\\n",
              "count     100000.00000         100000.000000  100000.000000  100000.000000   \n",
              "mean         111.11712            160.035050       9.061242       6.520776   \n",
              "std           13.59561             30.935472       4.954060       0.813921   \n",
              "min           60.00000             70.000000       2.000000       4.000000   \n",
              "25%          102.00000            139.000000       5.090000       5.970000   \n",
              "50%          111.00000            160.000000       8.790000       6.520000   \n",
              "75%          120.00000            181.000000      12.450000       7.070000   \n",
              "max          172.00000            287.000000      32.220000       9.800000   \n",
              "\n",
              "       diabetes_risk_score  diagnosed_diabetes  \n",
              "count        100000.000000       100000.000000  \n",
              "mean             30.222362            0.599980  \n",
              "std               9.061505            0.489904  \n",
              "min               2.700000            0.000000  \n",
              "25%              23.800000            0.000000  \n",
              "50%              29.000000            1.000000  \n",
              "75%              35.600000            1.000000  \n",
              "max              67.200000            1.000000  \n",
              "\n",
              "[8 rows x 24 columns]"
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              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.00000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "      <td>100000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>50.12041</td>\n",
              "      <td>2.003670</td>\n",
              "      <td>118.911640</td>\n",
              "      <td>5.994787</td>\n",
              "      <td>6.997818</td>\n",
              "      <td>5.996468</td>\n",
              "      <td>0.219410</td>\n",
              "      <td>0.250800</td>\n",
              "      <td>0.079200</td>\n",
              "      <td>25.612653</td>\n",
              "      <td>...</td>\n",
              "      <td>185.978110</td>\n",
              "      <td>54.042790</td>\n",
              "      <td>103.000430</td>\n",
              "      <td>121.462650</td>\n",
              "      <td>111.11712</td>\n",
              "      <td>160.035050</td>\n",
              "      <td>9.061242</td>\n",
              "      <td>6.520776</td>\n",
              "      <td>30.222362</td>\n",
              "      <td>0.599980</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>15.60460</td>\n",
              "      <td>1.417779</td>\n",
              "      <td>84.409662</td>\n",
              "      <td>1.780954</td>\n",
              "      <td>1.094622</td>\n",
              "      <td>2.468406</td>\n",
              "      <td>0.413849</td>\n",
              "      <td>0.433476</td>\n",
              "      <td>0.270052</td>\n",
              "      <td>3.586705</td>\n",
              "      <td>...</td>\n",
              "      <td>32.013005</td>\n",
              "      <td>10.267374</td>\n",
              "      <td>33.390256</td>\n",
              "      <td>43.372619</td>\n",
              "      <td>13.59561</td>\n",
              "      <td>30.935472</td>\n",
              "      <td>4.954060</td>\n",
              "      <td>0.813921</td>\n",
              "      <td>9.061505</td>\n",
              "      <td>0.489904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>18.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>60.00000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2.700000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>39.00000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>6.300000</td>\n",
              "      <td>4.300000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>23.200000</td>\n",
              "      <td>...</td>\n",
              "      <td>164.000000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>102.00000</td>\n",
              "      <td>139.000000</td>\n",
              "      <td>5.090000</td>\n",
              "      <td>5.970000</td>\n",
              "      <td>23.800000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>50.00000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>25.600000</td>\n",
              "      <td>...</td>\n",
              "      <td>186.000000</td>\n",
              "      <td>54.000000</td>\n",
              "      <td>102.000000</td>\n",
              "      <td>121.000000</td>\n",
              "      <td>111.00000</td>\n",
              "      <td>160.000000</td>\n",
              "      <td>8.790000</td>\n",
              "      <td>6.520000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>61.00000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>160.000000</td>\n",
              "      <td>7.200000</td>\n",
              "      <td>7.700000</td>\n",
              "      <td>7.700000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>126.000000</td>\n",
              "      <td>151.000000</td>\n",
              "      <td>120.00000</td>\n",
              "      <td>181.000000</td>\n",
              "      <td>12.450000</td>\n",
              "      <td>7.070000</td>\n",
              "      <td>35.600000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>90.00000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>833.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>16.800000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>39.200000</td>\n",
              "      <td>...</td>\n",
              "      <td>318.000000</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>263.000000</td>\n",
              "      <td>344.000000</td>\n",
              "      <td>172.00000</td>\n",
              "      <td>287.000000</td>\n",
              "      <td>32.220000</td>\n",
              "      <td>9.800000</td>\n",
              "      <td>67.200000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 24 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8a1d4a0a-b291-4d7b-8589-770f59ef60b3')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8a1d4a0a-b291-4d7b-8589-770f59ef60b3 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8a1d4a0a-b291-4d7b-8589-770f59ef60b3');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    <div id=\"df-fae156a3-f4e4-4853-81f7-e5978fea63bc\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fae156a3-f4e4-4853-81f7-e5978fea63bc')\"\n",
              "                title=\"Suggest charts\"\n",
              "                style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-fae156a3-f4e4-4853-81f7-e5978fea63bc button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.select_dtypes('object').columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QPpRPNT9IsqK",
        "outputId": "cec159d3-42ed-497b-d937-0787510ec8b3"
      },
      "execution_count": 154,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['gender', 'ethnicity', 'education_level', 'income_level',\n",
              "       'employment_status', 'smoking_status', 'diabetes_stage'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for col in df.select_dtypes('object').columns:\n",
        "    print(f\"\\nColumn: {col}\")\n",
        "    print(df[col].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JsJSw69CKQeI",
        "outputId": "22dd7e40-15cf-4060-9083-5e53bebed676"
      },
      "execution_count": 155,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Column: gender\n",
            "['Male' 'Female' 'Other']\n",
            "\n",
            "Column: ethnicity\n",
            "['Asian' 'White' 'Hispanic' 'Black' 'Other']\n",
            "\n",
            "Column: education_level\n",
            "['Highschool' 'Graduate' 'Postgraduate' 'No formal']\n",
            "\n",
            "Column: income_level\n",
            "['Lower-Middle' 'Middle' 'Low' 'Upper-Middle' 'High']\n",
            "\n",
            "Column: employment_status\n",
            "['Employed' 'Unemployed' 'Retired' 'Student']\n",
            "\n",
            "Column: smoking_status\n",
            "['Never' 'Former' 'Current']\n",
            "\n",
            "Column: diabetes_stage\n",
            "['Type 2' 'No Diabetes' 'Pre-Diabetes' 'Gestational' 'Type 1']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Data Wrangling Summary\n",
        "\n",
        "- The dataset contains 100,000 rows and 31 columns.\n",
        "- There are no missing values in any column (`df.isnull().sum()` returns 0 for all).\n",
        "- No duplicate rows were found (`df.duplicated().sum()` equals 0).\n",
        "- Numeric features (age, BMI, blood pressure, glucose levels, cholesterol, etc.) were inspected using `df.describe()` and found to be within realistic and medically plausible ranges. No impossible values (e.g., negative ages or glucose) were detected.\n",
        "- Categorical features (`gender`, `ethnicity`, `education_level`, `income_level`, `employment_status`, `smoking_status`, `diabetes_stage`) were inspected and showed clean, consistent categories with no misspellings or inconsistent capitalization.\n",
        "- At this stage, no rows or columns needed to be removed or corrected.\n",
        "\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        },
        "id": "UX_hoayKKQg4",
        "outputId": "19592923-5492-41ac-8e52-479a11de3f71"
      },
      "execution_count": 156,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Data Wrangling Summary\\n\\n- The dataset contains 100,000 rows and 31 columns.\\n- There are no missing values in any column (`df.isnull().sum()` returns 0 for all).\\n- No duplicate rows were found (`df.duplicated().sum()` equals 0).\\n- Numeric features (age, BMI, blood pressure, glucose levels, cholesterol, etc.) were inspected using `df.describe()` and found to be within realistic and medically plausible ranges. No impossible values (e.g., negative ages or glucose) were detected.\\n- Categorical features (`gender`, `ethnicity`, `education_level`, `income_level`, `employment_status`, `smoking_status`, `diabetes_stage`) were inspected and showed clean, consistent categories with no misspellings or inconsistent capitalization.\\n- At this stage, no rows or columns needed to be removed or corrected.\\n\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 156
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['diagnosed_diabetes'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "SszKi_ycKQj9",
        "outputId": "1cb3b1f3-f1ae-41a6-d24d-ffbacd2100f6"
      },
      "execution_count": 157,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "diagnosed_diabetes\n",
              "1    59998\n",
              "0    40002\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>59998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>40002</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "sns.countplot(data=df, x='diagnosed_diabetes')\n",
        "plt.title(\"Distribution of Diagnosed Diabetes (0 = No, 1 = Yes)\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "6aI461INKQn4",
        "outputId": "d4103f81-50ca-44c8-9c07-dda1260ad3de"
      },
      "execution_count": 158,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(df['age'], kde=True)\n",
        "plt.title(\"Distribution of Age in the Dataset\")\n",
        "plt.xlabel(\"Age\")\n",
        "plt.ylabel(\"Count\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Nwc0MrQ1KQrR",
        "outputId": "f444be4a-6b4f-4e84-d00f-70cff8bcad69"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the last plot is really intresting but lets split it to age groups and check % of diagnosed in every age group\n",
        "df['age_group'] = pd.cut(\n",
        "    df['age'],\n",
        "    bins=[18, 30, 40, 50, 60, 70, 80, 100],\n",
        "    labels=['18–29', '30–39', '40–49', '50–59', '60–69', '70–79', '80+']\n",
        ")\n",
        "\n",
        "age_diabetes = df.groupby('age_group')['diagnosed_diabetes'].mean() * 100\n",
        "age_diabetes\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "id": "MyJj78CqKQuX",
        "outputId": "ad191ab3-86da-4bc4-d253-3a104532c514"
      },
      "execution_count": 160,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3822009335.py:8: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  age_diabetes = df.groupby('age_group')['diagnosed_diabetes'].mean() * 100\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age_group\n",
              "18–29    49.176742\n",
              "30–39    54.277572\n",
              "40–49    57.857628\n",
              "50–59    62.169392\n",
              "60–69    66.805725\n",
              "70–79    71.017914\n",
              "80+      73.680531\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age_group</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18–29</th>\n",
              "      <td>49.176742</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30–39</th>\n",
              "      <td>54.277572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40–49</th>\n",
              "      <td>57.857628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50–59</th>\n",
              "      <td>62.169392</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60–69</th>\n",
              "      <td>66.805725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70–79</th>\n",
              "      <td>71.017914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80+</th>\n",
              "      <td>73.680531</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 160
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "sns.barplot(x=age_diabetes.index, y=age_diabetes.values, palette=\"viridis\")\n",
        "\n",
        "plt.title(\"Diabetes Rate (%) by Age Group\")\n",
        "plt.xlabel(\"Age Group\")\n",
        "plt.ylabel(\"Diabetes Rate (%)\")\n",
        "\n",
        "plt.ylim(0, 80)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "egDzYuybIstX",
        "outputId": "924d5d9e-be3e-4ecb-a745-a5baa259ae05"
      },
      "execution_count": 161,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-4280601982.py:2: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=age_diabetes.index, y=age_diabetes.values, palette=\"viridis\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Diabetes Rate by Age Group\n",
        "\n",
        "The rate of diagnosed diabetes increases steadily with age.\n",
        "Although the dataset contains a higher-than-realistic proportion of diabetic individuals\n",
        "(approximately 60%), the **relative trend** remains clear:\n",
        "\n",
        "- Ages 18–29: ~49% diabetic\n",
        "- Ages 30–39: ~54%\n",
        "- Ages 40–49: ~58%\n",
        "- Ages 50–59: ~62%\n",
        "- Ages 60–69: ~67%\n",
        "- Ages 70–79: ~71%\n",
        "- Ages 80+: ~74%\n",
        "\n",
        "This demonstrates a strong positive relationship between age and diabetes prevalence,\n",
        "consistent with medical literature.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "1s6ai1e8QmRb",
        "outputId": "89ef8ed1-1eeb-4523-cbde-e599d8818d26"
      },
      "execution_count": 162,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Diabetes Rate by Age Group\\n\\nThe rate of diagnosed diabetes increases steadily with age.\\nAlthough the dataset contains a higher-than-realistic proportion of diabetic individuals\\n(approximately 60%), the **relative trend** remains clear:\\n\\n- Ages 18–29: ~49% diabetic\\n- Ages 30–39: ~54%\\n- Ages 40–49: ~58%\\n- Ages 50–59: ~62%\\n- Ages 60–69: ~67%\\n- Ages 70–79: ~71%\\n- Ages 80+: ~74%\\n\\nThis demonstrates a strong positive relationship between age and diabetes prevalence,\\nconsistent with medical literature.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['family_history_diabetes'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "-D2A-vvzQmUZ",
        "outputId": "f6eb4a88-6618-4bbd-8812-b947e8f0570a"
      },
      "execution_count": 163,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "family_history_diabetes\n",
              "0    78059\n",
              "1    21941\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>family_history_diabetes</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>78059</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>21941</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "family_diabetes_rate = df.groupby('family_history_diabetes')['diagnosed_diabetes'].mean() * 100\n",
        "family_diabetes_rate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "5knL4AEXQmXb",
        "outputId": "2672776e-e826-423a-fe23-d278912f87b9"
      },
      "execution_count": 164,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "family_history_diabetes\n",
              "0    54.857223\n",
              "1    78.287225\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>family_history_diabetes</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>54.857223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>78.287225</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(6,4))\n",
        "sns.barplot(\n",
        "    x=family_diabetes_rate.index,\n",
        "    y=family_diabetes_rate.values,\n",
        "    palette=\"mako\"\n",
        ")\n",
        "\n",
        "plt.title(\"Diabetes Rate (%) by Family History\")\n",
        "plt.xlabel(\"Family History (0 = No, 1 = Yes)\")\n",
        "plt.ylabel(\"Diabetes Rate (%)\")\n",
        "plt.ylim(0, 100)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "XqgS9taWQmZ2",
        "outputId": "6e78f755-0ad1-4fb0-a02a-db508d55b1f5"
      },
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-435994708.py:2: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion Research Question 1: Family History & Diabetes\n",
        "\n",
        "my analysis shows a strong association between having a family history of diabetes and the likelihood of being diagnosed with the disease.\n",
        "\n",
        "Key Findings\n",
        "\n",
        "78.3% of individuals with a family history of diabetes are diagnosed with diabetes.\n",
        "\n",
        "In comparison, only 54.9% of individuals without a family history are diagnosed.\n",
        "\n",
        "Interpretation\n",
        "\n",
        "People who report having diabetic family members show a significantly higher probability of developing diabetes themselves.\n",
        "This suggests that genetic factors or shared family lifestyle patterns (such as eating habits, physical activity, or health awareness) may play an important role.\n",
        "\n",
        "Important Note\n",
        "\n",
        "Our dataset likely oversamples diabetic individuals (approx. 60% of all observations are diagnosed), so these percentages do not represent real-world prevalence.\n",
        "However, even within this dataset, the difference between the two groups is large and consistent, meaning:\n",
        "\n",
        "Family history is clearly associated with increased diabetes risk.\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "hWF1qhy7Qmc5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "87a39410-08c6-4ed7-a170-dd9963ffcc46"
      },
      "execution_count": 166,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion Research Question 1: Family History & Diabetes\\n\\nmy analysis shows a strong association between having a family history of diabetes and the likelihood of being diagnosed with the disease.\\n\\nKey Findings\\n\\n78.3% of individuals with a family history of diabetes are diagnosed with diabetes.\\n\\nIn comparison, only 54.9% of individuals without a family history are diagnosed.\\n\\nInterpretation\\n\\nPeople who report having diabetic family members show a significantly higher probability of developing diabetes themselves.\\nThis suggests that genetic factors or shared family lifestyle patterns (such as eating habits, physical activity, or health awareness) may play an important role.\\n\\nImportant Note\\n\\nOur dataset likely oversamples diabetic individuals (approx. 60% of all observations are diagnosed), so these percentages do not represent real-world prevalence.\\nHowever, even within this dataset, the difference between the two groups is large and consistent, meaning:\\n\\nFamily history is clearly associated with increased diabetes risk.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['bmi'].describe()\n",
        "# The similarity between the mean and median BMI suggests no significant skew or outliers, confirming that the BMI variable is stable and suitable for analysis."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "RSpE7f6BoXam",
        "outputId": "274b66e9-68ff-48d0-d5dc-b1d94f93d97b"
      },
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    100000.000000\n",
              "mean         25.612653\n",
              "std           3.586705\n",
              "min          15.000000\n",
              "25%          23.200000\n",
              "50%          25.600000\n",
              "75%          28.000000\n",
              "max          39.200000\n",
              "Name: bmi, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>bmi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>100000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>25.612653</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.586705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>15.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>23.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>25.600000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>28.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>39.200000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['waist_to_hip_ratio'].describe()\n",
        "# WHR shows a narrow, normal-looking distribution (0.67–1.06), with no impossible or extreme values, so no outlier removal is needed."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "fyZiT4FVoXdd",
        "outputId": "a3c142f5-f881-43d9-d2c7-644eac928fd4"
      },
      "execution_count": 168,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    100000.000000\n",
              "mean          0.856078\n",
              "std           0.046837\n",
              "min           0.670000\n",
              "25%           0.820000\n",
              "50%           0.860000\n",
              "75%           0.890000\n",
              "max           1.060000\n",
              "Name: waist_to_hip_ratio, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>waist_to_hip_ratio</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>100000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.856078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.046837</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.670000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.820000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.860000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.890000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.060000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 168
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "plt.figure(figsize=(14, 5))\n",
        "\n",
        "# Boxplot 1: BMI\n",
        "plt.subplot(1, 2, 1)\n",
        "sns.boxplot(x=df['bmi'], color='skyblue')\n",
        "plt.title(\"Boxplot of BMI\")\n",
        "plt.xlabel(\"BMI\")\n",
        "\n",
        "# Boxplot 2: Waist to Hip Ratio\n",
        "plt.subplot(1, 2, 2)\n",
        "sns.boxplot(x=df['waist_to_hip_ratio'], color='lightgreen')\n",
        "plt.title(\"Boxplot of Waist-to-Hip Ratio\")\n",
        "plt.xlabel(\"WHR\")\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# High BMI outliers are expected in a population of this size and are realistic values representing individuals with severe obesity. Since none of the values are extreme or biologically impossible, these outliers should be kept.\n",
        "# WHR shows only mild outliers, all within realistic human limits (0.67–1.06). This confirms that WHR is clean, reliable, and does not require any outlier removal."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 507
        },
        "id": "-0_qSF5boXgl",
        "outputId": "68fe87e5-eb4b-4a5f-d4f4-5e3645105f67"
      },
      "execution_count": 169,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['abdominal_obesity'] = (\n",
        "    ((df['gender'] == 'Male') & (df['waist_to_hip_ratio'] > 0.90)) |\n",
        "    ((df['gender'] == 'Female') & (df['waist_to_hip_ratio'] > 0.85))\n",
        ").astype(int)\n",
        "\n",
        "df['abdominal_obesity'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "vEHuleF6oXjP",
        "outputId": "19c7b27f-9cdf-4469-eb82-748d42128da8"
      },
      "execution_count": 170,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "abdominal_obesity\n",
              "0    67382\n",
              "1    32618\n",
              "Name: count, dtype: int64"
            ],
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              "      <th>abdominal_obesity</th>\n",
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          "metadata": {},
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      "cell_type": "code",
      "source": [
        "bins = [0, 18.5, 25, 30, 100]\n",
        "labels = ['Underweight', 'Normal', 'Overweight', 'Obese']\n",
        "\n",
        "df['bmi_group'] = pd.cut(df['bmi'], bins=bins, labels=labels, right=False)\n",
        "\n",
        "df['bmi_group'].value_counts()\n",
        "\n",
        "# The BMI groups look realistic: most people are in the Normal or Overweight ranges, with a smaller Obese group and very few Underweight individuals."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "6z-AsjLcoXnB",
        "outputId": "bf817fef-2feb-43bc-d10c-503e738cbc25"
      },
      "execution_count": 171,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bmi_group\n",
              "Overweight     45967\n",
              "Normal         40357\n",
              "Obese          11387\n",
              "Underweight     2289\n",
              "Name: count, dtype: int64"
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          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "df['bmi_whr_group'] = (\n",
        "    df['bmi_group'].astype(str)\n",
        "    + \" | AbdominalObesity=\"\n",
        "    + df['abdominal_obesity'].astype(str)\n",
        ")\n",
        "\n",
        "df['bmi_whr_group'].value_counts()\n",
        "\n",
        "\n",
        "# The distribution makes sense: as BMI increases, the proportion of individuals with abdominal obesity also increases, while underweight individuals almost never show abdominal obesity."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "RHA3pFglvUeu",
        "outputId": "96d6d3d2-a463-42b0-ba1a-e8dd4dcac90b"
      },
      "execution_count": 172,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bmi_whr_group\n",
              "Normal | AbdominalObesity=0         36135\n",
              "Overweight | AbdominalObesity=0     26651\n",
              "Overweight | AbdominalObesity=1     19316\n",
              "Obese | AbdominalObesity=1           9073\n",
              "Normal | AbdominalObesity=1          4222\n",
              "Obese | AbdominalObesity=0           2314\n",
              "Underweight | AbdominalObesity=0     2282\n",
              "Underweight | AbdominalObesity=1        7\n",
              "Name: count, dtype: int64"
            ],
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              "      <td>19316</td>\n",
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              "    <tr>\n",
              "      <th>Obese | AbdominalObesity=1</th>\n",
              "      <td>9073</td>\n",
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              "    <tr>\n",
              "      <th>Normal | AbdominalObesity=1</th>\n",
              "      <td>4222</td>\n",
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              "    <tr>\n",
              "      <th>Underweight | AbdominalObesity=1</th>\n",
              "      <td>7</td>\n",
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          "metadata": {},
          "execution_count": 172
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      "cell_type": "code",
      "source": [
        "bmi_whr_diabetes = df.groupby('bmi_whr_group')['diagnosed_diabetes'].mean() * 100\n",
        "bmi_whr_diabetes.sort_values()\n",
        "\n",
        "# My analysis shows that BMI is the primary driver of diabetes risk, and abdominal obesity further elevates risk but with a smaller effect. Both factors show a positive association with diabetes."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "1xDH5GVZvUhU",
        "outputId": "557a952c-ac9a-4912-c61a-1560136c072b"
      },
      "execution_count": 173,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bmi_whr_group\n",
              "Underweight | AbdominalObesity=1     0.000000\n",
              "Underweight | AbdominalObesity=0    50.482033\n",
              "Normal | AbdominalObesity=0         55.740971\n",
              "Normal | AbdominalObesity=1         57.816201\n",
              "Overweight | AbdominalObesity=0     61.716258\n",
              "Overweight | AbdominalObesity=1     62.331746\n",
              "Obese | AbdominalObesity=0          67.372515\n",
              "Obese | AbdominalObesity=1          68.510967\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
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              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bmi_whr_group</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>Underweight | AbdominalObesity=1</th>\n",
              "      <td>0.000000</td>\n",
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              "      <td>50.482033</td>\n",
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              "      <td>57.816201</td>\n",
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              "      <td>61.716258</td>\n",
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          },
          "metadata": {},
          "execution_count": 173
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plot_df = bmi_whr_diabetes.reset_index()\n",
        "plot_df.columns = ['bmi_whr_group', 'diabetes_rate']\n",
        "plot_df[['bmi_group', 'abdominal_obesity']] = plot_df['bmi_whr_group'].str.split(\" \\\\| AbdominalObesity=\", expand=True)\n",
        "plot_df['abdominal_obesity'] = plot_df['abdominal_obesity'].map({'0': 'No', '1': 'Yes'})\n",
        "bmi_order = ['Underweight', 'Normal', 'Overweight', 'Obese']\n",
        "plot_df['bmi_group'] = pd.Categorical(plot_df['bmi_group'],\n",
        "                                      categories=bmi_order,\n",
        "                                      ordered=True)\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.barplot(data=plot_df, x='bmi_group', y='diabetes_rate',\n",
        "            hue='abdominal_obesity', palette='viridis')\n",
        "\n",
        "plt.title(\"Diabetes Rate (%) by BMI Group and Abdominal Obesity\")\n",
        "plt.ylabel(\"Diabetes Rate (%)\")\n",
        "plt.xlabel(\"BMI Group\")\n",
        "plt.legend(title=\"Abdominal Obesity\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "OlXim6UevUkL",
        "outputId": "d2fff355-66f0-49d8-8f8f-5b63654783c9"
      },
      "execution_count": 174,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Final Conclusion:Research Question 2 - BMI & WHR\n",
        "\n",
        "BMI emerges as a strong predictor of diabetes risk: as BMI increases from Normal → Overweight → Obese, diabetes rates rise consistently and substantially.\n",
        "In contrast, waist to hip ratio contributes only a small additional effect, much weaker than expected, which suggests that BMI already captures most of the relevant metabolic risk.\n",
        "\n",
        "Since WHR does not add much explanatory power, it is worthwhile to examine whether physical activity levels modify diabetes risk within each BMI group—for example, whether highly active individuals with higher BMI show lower diabetes rates than inactive individuals.\n",
        "This can help distinguish between people with high BMI due to muscle mass and those at genuinely elevated metabolic risk.\n",
        "\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        },
        "id": "-PaX7D6JvUmt",
        "outputId": "02be0fd8-e3c8-4264-a921-bb898d59084d"
      },
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Final Conclusion:Research Question 2 - BMI & WHR\\n\\nBMI emerges as a strong predictor of diabetes risk: as BMI increases from Normal → Overweight → Obese, diabetes rates rise consistently and substantially.\\nIn contrast, waist to hip ratio contributes only a small additional effect, much weaker than expected, which suggests that BMI already captures most of the relevant metabolic risk.\\n\\nSince WHR does not add much explanatory power, it is worthwhile to examine whether physical activity levels modify diabetes risk within each BMI group—for example, whether highly active individuals with higher BMI show lower diabetes rates than inactive individuals.\\nThis can help distinguish between people with high BMI due to muscle mass and those at genuinely elevated metabolic risk.\\n\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 175
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['activity_level'] = pd.cut(\n",
        "    df['physical_activity_minutes_per_week'],\n",
        "    bins=[-1, 74, 150, df['physical_activity_minutes_per_week'].max()],\n",
        "    labels=['Low', 'Moderate', 'High']\n",
        ")\n",
        "\n",
        "df['activity_level'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 210
        },
        "id": "wT_TCY06vUp6",
        "outputId": "c0389611-c868-4aa8-b639-772ac835b260"
      },
      "execution_count": 176,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "activity_level\n",
              "Moderate    36017\n",
              "Low         35810\n",
              "High        28173\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>activity_level</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Moderate</th>\n",
              "      <td>36017</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Low</th>\n",
              "      <td>35810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>28173</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 176
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bmi_activity_diabetes = df.groupby(['bmi_group', 'activity_level'])['diagnosed_diabetes'].mean() * 100\n",
        "bmi_activity_diabetes"
      ],
      "metadata": {
        "id": "rVTG8iI7vUsS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "outputId": "6e1fdb35-9d83-4141-b3a2-af543198a2b8"
      },
      "execution_count": 177,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-2265015006.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  bmi_activity_diabetes = df.groupby(['bmi_group', 'activity_level'])['diagnosed_diabetes'].mean() * 100\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bmi_group    activity_level\n",
              "Underweight  Low               55.475504\n",
              "             Moderate          51.698113\n",
              "             High              44.500000\n",
              "Normal       Low               61.053326\n",
              "             Moderate          56.855563\n",
              "             High              49.211279\n",
              "Overweight   Low               65.934196\n",
              "             Moderate          62.296167\n",
              "             High              56.147838\n",
              "Obese        Low               71.378170\n",
              "             Moderate          68.521655\n",
              "             High              62.743656\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bmi_group</th>\n",
              "      <th>activity_level</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Underweight</th>\n",
              "      <th>Low</th>\n",
              "      <td>55.475504</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Moderate</th>\n",
              "      <td>51.698113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Normal</th>\n",
              "      <th>Low</th>\n",
              "      <td>61.053326</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Moderate</th>\n",
              "      <td>56.855563</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>49.211279</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Overweight</th>\n",
              "      <th>Low</th>\n",
              "      <td>65.934196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Moderate</th>\n",
              "      <td>62.296167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>56.147838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Obese</th>\n",
              "      <th>Low</th>\n",
              "      <td>71.378170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Moderate</th>\n",
              "      <td>68.521655</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>62.743656</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 177
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plot_df2 = bmi_activity_diabetes.reset_index()\n",
        "plot_df2.columns = ['bmi_group', 'activity_level', 'diabetes_rate']\n",
        "plot_df2\n",
        "\n",
        "pivot_df = plot_df2.pivot(index='bmi_group', columns='activity_level', values='diabetes_rate')\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.heatmap(pivot_df, annot=True, fmt=\".1f\", cmap=\"coolwarm\")\n",
        "plt.title(\"Diabetes Rate (%) by BMI Group and Activity Level\")\n",
        "plt.ylabel(\"BMI Group\")\n",
        "plt.xlabel(\"Activity Level\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "KrMEJLawgHdJ",
        "outputId": "8254b49e-17b1-4c37-eb77-f2635bc89251"
      },
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: BMI × Physical Activity\n",
        "\n",
        "Diabetes rates rise sharply with BMI, but within every BMI group, higher physical activity is associated with a meaningful reduction in diabetes risk. This protective effect appears consistently across all weight categories, including overweight and obese individuals. Making activity level a much stronger modifier of diabetes risk than waist to hip ratio.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "W58jAVj_gHg_",
        "outputId": "970d9c26-07ea-4e7f-db27-5577aaf6282f"
      },
      "execution_count": 179,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: BMI × Physical Activity\\n\\nDiabetes rates rise sharply with BMI, but within every BMI group, higher physical activity is associated with a meaningful reduction in diabetes risk. This protective effect appears consistently across all weight categories, including overweight and obese individuals. Making activity level a much stronger modifier of diabetes risk than waist to hip ratio.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 179
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['diet_score'].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "psGk9aw6gHmo",
        "outputId": "33de5b4f-ec4e-4e46-b53f-8b424c5a384e"
      },
      "execution_count": 180,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    100000.000000\n",
              "mean          5.994787\n",
              "std           1.780954\n",
              "min           0.000000\n",
              "25%           4.800000\n",
              "50%           6.000000\n",
              "75%           7.200000\n",
              "max          10.000000\n",
              "Name: diet_score, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>diet_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>100000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5.994787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.780954</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>7.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "diet_diabetes = df.groupby('diet_score')['diagnosed_diabetes'].mean() * 100\n",
        "\n",
        "plt.figure(figsize=(10,5))\n",
        "sns.regplot(x=diet_diabetes.index, y=diet_diabetes.values,\n",
        "            scatter_kws={'alpha':0.6},\n",
        "            line_kws={'color':'red'})\n",
        "\n",
        "plt.title(\"Relationship Between Diet Score and Diabetes Rate\")\n",
        "plt.xlabel(\"Diet Score (0–10)\")\n",
        "plt.ylabel(\"Diabetes Rate (%)\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "CmT9YjumgHrQ",
        "outputId": "b44336a5-3fa7-4662-bfe2-4b95eee8a04c"
      },
      "execution_count": 181,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: Research Question 3: Diet Score & Diabetes\n",
        "\n",
        "The analysis shows a clear negative relationship between diet score and diabetes risk.\n",
        "As the diet score increases from 0 to 10, the diabetes rate decreases steadily.\n",
        "\n",
        "Individuals with poor diet scores (0–3) show diabetes rates around 63–75%,\n",
        "while those with healthier diet scores (7–10) show lower rates around 54–58%.\n",
        "\n",
        "The regression line confirms this trend:\n",
        "Higher diet quality is associated with a lower likelihood of diabetes.\n",
        "\n",
        "Although some variability exists (because diet is only one component of metabolic health), the overall pattern is strong and consistent.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "MAKVS00-gHvV",
        "outputId": "342a1c65-2e44-40dd-d896-ae0718109475"
      },
      "execution_count": 182,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: Research Question 3: Diet Score & Diabetes\\n\\nThe analysis shows a clear negative relationship between diet score and diabetes risk.\\nAs the diet score increases from 0 to 10, the diabetes rate decreases steadily.\\n\\nIndividuals with poor diet scores (0–3) show diabetes rates around 63–75%,\\nwhile those with healthier diet scores (7–10) show lower rates around 54–58%.\\n\\nThe regression line confirms this trend:\\nHigher diet quality is associated with a lower likelihood of diabetes.\\n\\nAlthough some variability exists (because diet is only one component of metabolic health), the overall pattern is strong and consistent.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 182
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['smoking_status'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 210
        },
        "id": "ONBvWtKngHzK",
        "outputId": "c91052a6-9dd6-418c-cce1-2d0ac14b77ed"
      },
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "smoking_status\n",
              "Never      59813\n",
              "Current    20176\n",
              "Former     20011\n",
              "Name: count, dtype: int64"
            ],
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              "    </tr>\n",
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              "      <th>Never</th>\n",
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              "      <th>Former</th>\n",
              "      <td>20011</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "smoking_diabetes = (\n",
        "    df.groupby('smoking_status')['diagnosed_diabetes']\n",
        "      .mean() * 100\n",
        ")\n",
        "smoking_diabetes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 210
        },
        "id": "77ke2yEkxLyO",
        "outputId": "dfef56f1-f4fa-4007-b7b2-a70596236c44"
      },
      "execution_count": 184,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "smoking_status\n",
              "Current    60.006939\n",
              "Former     60.111938\n",
              "Never      59.956866\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
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              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>smoking_status</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>Current</th>\n",
              "      <td>60.006939</td>\n",
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              "      <td>60.111938</td>\n",
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              "      <td>59.956866</td>\n",
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              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 184
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Smoking status shows no meaningful association with diabetes in this dataset.\n",
        "Current, former, and never smokers all have nearly identical diabetes rates (~60%).\n",
        "This suggests that smoking does not contribute significantly to diabetes risk in this specific dataset.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "W9Y5-K64xL0t",
        "outputId": "5c0052c0-a516-4cf6-dd75-d4bc4406cba3"
      },
      "execution_count": 185,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Smoking status shows no meaningful association with diabetes in this dataset.\\nCurrent, former, and never smokers all have nearly identical diabetes rates (~60%).\\nThis suggests that smoking does not contribute significantly to diabetes risk in this specific dataset.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['alcohol_consumption_per_week'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "id": "EwnpsER40vq9",
        "outputId": "fc4354ce-10bf-4aa6-ceb4-97a91941b65f"
      },
      "execution_count": 186,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alcohol_consumption_per_week\n",
              "2     27119\n",
              "1     26995\n",
              "3     17896\n",
              "0     13535\n",
              "4      9128\n",
              "5      3605\n",
              "6      1264\n",
              "7       356\n",
              "8        87\n",
              "9        13\n",
              "10        2\n",
              "Name: count, dtype: int64"
            ],
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              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alcohol_consumption_per_week</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>27119</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>17896</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>13535</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>3605</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 186
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['alcohol_group'] = pd.cut(\n",
        "    df['alcohol_consumption_per_week'],\n",
        "    bins = [-1, 0, 2, 6, df['alcohol_consumption_per_week'].max()],\n",
        "    labels = ['None', 'Light', 'Moderate', 'Heavy']\n",
        ")\n",
        "\n",
        "df['alcohol_group'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "3MniNNcs0vuh",
        "outputId": "ad5df6dd-0873-48cb-c07d-ea6ab56ad156"
      },
      "execution_count": 187,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alcohol_group\n",
              "Light       54114\n",
              "Moderate    31893\n",
              "None        13535\n",
              "Heavy         458\n",
              "Name: count, dtype: int64"
            ],
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              "      <td>458</td>\n",
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              "</div><br><label><b>dtype:</b> int64</label>"
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          "metadata": {},
          "execution_count": 187
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    {
      "cell_type": "code",
      "source": [
        "alcohol_diabetes = (\n",
        "    df.groupby('alcohol_group')['diagnosed_diabetes']\n",
        "      .mean() * 100\n",
        ")\n",
        "\n",
        "alcohol_diabetes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "l3Irg9uO0vyp",
        "outputId": "7eb6387d-3f9d-4a4a-cbc0-d4f4a10f4e5c"
      },
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-443961966.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
            "  df.groupby('alcohol_group')['diagnosed_diabetes']\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alcohol_group\n",
              "None        60.251201\n",
              "Light       59.858817\n",
              "Moderate    60.160537\n",
              "Heavy       57.641921\n",
              "Name: diagnosed_diabetes, dtype: float64"
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              "      <td>60.160537</td>\n",
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              "    <tr>\n",
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              "      <td>57.641921</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 188
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Alcohol consumption does not show any meaningful association with diabetes in this dataset.\n",
        "Non-drinkers, light drinkers, and moderate drinkers all have similar diabetes rates (~60%), and heavy drinkers do not differ substantially either.\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "zloPM5V6H9VK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "outputId": "cd7f7fc0-d5c1-484e-a555-4867211ae162"
      },
      "execution_count": 189,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Alcohol consumption does not show any meaningful association with diabetes in this dataset.\\nNon-drinkers, light drinkers, and moderate drinkers all have similar diabetes rates (~60%), and heavy drinkers do not differ substantially either.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 189
        }
      ]
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      "cell_type": "code",
      "source": [
        "df['gender'].value_counts()"
      ],
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          "base_uri": "https://localhost:8080/",
          "height": 210
        },
        "id": "mM0EAQEYH9Yo",
        "outputId": "999c13c5-3d2a-46bb-cfad-c8baa935286e"
      },
      "execution_count": 190,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "gender\n",
              "Female    50216\n",
              "Male      47771\n",
              "Other      2013\n",
              "Name: count, dtype: int64"
            ],
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          "execution_count": 190
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    {
      "cell_type": "code",
      "source": [
        "gender_diabetes = (\n",
        "    df[df['gender'].isin(['Male', 'Female'])]\n",
        "      .groupby('gender')['diagnosed_diabetes']\n",
        "      .mean() * 100\n",
        ")\n",
        "\n",
        "gender_diabetes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "EIMcd5FMH9oZ",
        "outputId": "b1a93966-a1b5-463d-d990-5cc8b3fd2d2b"
      },
      "execution_count": 191,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "gender\n",
              "Female    59.845468\n",
              "Male      60.065730\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
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              "      <th>gender</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
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              "      <th>Female</th>\n",
              "      <td>59.845468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Male</th>\n",
              "      <td>60.065730</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 191
        }
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    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: Gender does not meaningfully influence diabetes risk in this dataset.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "K-OnfSFyLZdL",
        "outputId": "fcc09856-1a80-4173-81f3-56e38d80709d"
      },
      "execution_count": 192,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: Gender does not meaningfully influence diabetes risk in this dataset.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 192
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['income_level'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "5Fd35qwjLZhu",
        "outputId": "9e4d75ca-677b-4bb9-bcf8-4e353122eb3c"
      },
      "execution_count": 193,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "income_level\n",
              "Middle          35152\n",
              "Lower-Middle    25150\n",
              "Upper-Middle    19866\n",
              "Low             14830\n",
              "High             5002\n",
              "Name: count, dtype: int64"
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              "      <td>35152</td>\n",
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              "      <th>Lower-Middle</th>\n",
              "      <td>25150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Upper-Middle</th>\n",
              "      <td>19866</td>\n",
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              "    <tr>\n",
              "      <th>Low</th>\n",
              "      <td>14830</td>\n",
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              "      <td>5002</td>\n",
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              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
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          "metadata": {},
          "execution_count": 193
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "income_diabetes = (\n",
        "    df.groupby(\"income_level\")[\"diagnosed_diabetes\"]\n",
        "      .mean() * 100\n",
        ")\n",
        "\n",
        "income_diabetes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "CPWD_9lZLZmI",
        "outputId": "be3d8bb6-a5d9-40e7-b308-abb8e6775aa3"
      },
      "execution_count": 194,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "income_level\n",
              "High            60.715714\n",
              "Low             60.053945\n",
              "Lower-Middle    60.385686\n",
              "Middle          59.669436\n",
              "Upper-Middle    59.866103\n",
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              "      <th>Middle</th>\n",
              "      <td>59.669436</td>\n",
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              "      <th>Upper-Middle</th>\n",
              "      <td>59.866103</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 194
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: Income level does not meaningfully influence diabetes risk in this dataset.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "x_cbHGpLLZq4",
        "outputId": "3375d04c-8a92-4f95-d8ed-df9710529cf9"
      },
      "execution_count": 195,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: Income level does not meaningfully influence diabetes risk in this dataset.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 195
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['ethnicity'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "IO0aeD79LZwf",
        "outputId": "20568e78-23bd-43a0-f3f9-a712cb0955bf"
      },
      "execution_count": 196,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ethnicity\n",
              "White       44997\n",
              "Hispanic    20103\n",
              "Black       17986\n",
              "Asian       11865\n",
              "Other        5049\n",
              "Name: count, dtype: int64"
            ],
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              "      <td>11865</td>\n",
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              "    <tr>\n",
              "      <th>Other</th>\n",
              "      <td>5049</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
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    {
      "cell_type": "code",
      "source": [
        "df.groupby('ethnicity')['diagnosed_diabetes'].mean() * 100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "id": "miwkmBkfNcSF",
        "outputId": "d7455add-a7b7-4378-fa61-35bfd5ae90c2"
      },
      "execution_count": 197,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ethnicity\n",
              "Asian       60.075853\n",
              "Black       60.141221\n",
              "Hispanic    59.394120\n",
              "Other       60.764508\n",
              "White       60.104007\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ethnicity</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Asian</th>\n",
              "      <td>60.075853</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Black</th>\n",
              "      <td>60.141221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hispanic</th>\n",
              "      <td>59.394120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other</th>\n",
              "      <td>60.764508</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>White</th>\n",
              "      <td>60.104007</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 197
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Variables like smoking, alcohol use, gender, income, and ethnicity show almost identical diabetes rates across groups. So they do not provide meaningful insight for this research.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "0HndS99KNcXx",
        "outputId": "096be373-f41c-45a5-ee7c-8831c0eb9c95"
      },
      "execution_count": 198,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Variables like smoking, alcohol use, gender, income, and ethnicity show almost identical diabetes rates across groups. So they do not provide meaningful insight for this research.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 198
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['hypertension_history'].value_counts(), df['cardiovascular_history'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lk8-_VoJNccR",
        "outputId": "f874ad94-01f3-4fd6-b568-9f275ca3caa5"
      },
      "execution_count": 199,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(hypertension_history\n",
              " 0    74920\n",
              " 1    25080\n",
              " Name: count, dtype: int64,\n",
              " cardiovascular_history\n",
              " 0    92080\n",
              " 1     7920\n",
              " Name: count, dtype: int64)"
            ]
          },
          "metadata": {},
          "execution_count": 199
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('hypertension_history')['diagnosed_diabetes'].mean() * 100, df.groupby('cardiovascular_history')['diagnosed_diabetes'].mean() * 100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wtJdh2T2Ncgr",
        "outputId": "972b47dc-8f77-4ea1-ea9e-3b603c17e444"
      },
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(hypertension_history\n",
              " 0    59.217832\n",
              " 1    62.328549\n",
              " Name: diagnosed_diabetes, dtype: float64,\n",
              " cardiovascular_history\n",
              " 0    59.569939\n",
              " 1    64.974747\n",
              " Name: diagnosed_diabetes, dtype: float64)"
            ]
          },
          "metadata": {},
          "execution_count": 200
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Hypertension and cardiovascular history show only a small increase in diabetes prevalence, and therefore do not meaningfully contribute new insights compared to stronger predictors like age, BMI, diet, and physical activity.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "WSwKm-ycNclI",
        "outputId": "4c67ef47-bfa1-4171-f6a8-b04c6968fab7"
      },
      "execution_count": 201,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Hypertension and cardiovascular history show only a small increase in diabetes prevalence, and therefore do not meaningfully contribute new insights compared to stronger predictors like age, BMI, diet, and physical activity.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 201
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['hba1c'].describe(), df['glucose_fasting'].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DrskckVuUjKg",
        "outputId": "86da1953-d645-4fd9-9f46-7822c012db96"
      },
      "execution_count": 202,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(count    100000.000000\n",
              " mean          6.520776\n",
              " std           0.813921\n",
              " min           4.000000\n",
              " 25%           5.970000\n",
              " 50%           6.520000\n",
              " 75%           7.070000\n",
              " max           9.800000\n",
              " Name: hba1c, dtype: float64,\n",
              " count    100000.00000\n",
              " mean        111.11712\n",
              " std          13.59561\n",
              " min          60.00000\n",
              " 25%         102.00000\n",
              " 50%         111.00000\n",
              " 75%         120.00000\n",
              " max         172.00000\n",
              " Name: glucose_fasting, dtype: float64)"
            ]
          },
          "metadata": {},
          "execution_count": 202
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "sns.scatterplot(\n",
        "    data=df.sample(5000, random_state=42),   # sample to make the plot cleaner\n",
        "    x='glucose_fasting',\n",
        "    y='hba1c',\n",
        "    alpha=0.4\n",
        ")\n",
        "\n",
        "plt.title(\"Scatter Plot of HbA1c vs Fasting Glucose\")\n",
        "plt.xlabel(\"Fasting Glucose\")\n",
        "plt.ylabel(\"HbA1c\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "P9XDlPPoUjOb",
        "outputId": "6fa7306d-16e5-48aa-b8a0-7ed0ab410d39"
      },
      "execution_count": 203,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[df['glucose_fasting'] > 160].shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RgFHOoBTUjTn",
        "outputId": "5f09fd77-658c-4c76-80b3-86a72354dbd4"
      },
      "execution_count": 204,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(21, 37)"
            ]
          },
          "metadata": {},
          "execution_count": 204
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_glucose_clean = df[df['glucose_fasting'] <= 160]\n",
        "df_glucose_clean.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jkpNWCfzUjYL",
        "outputId": "275955c7-1b45-4adf-9280-367863581bde"
      },
      "execution_count": 205,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(99979, 37)"
            ]
          },
          "metadata": {},
          "execution_count": 205
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "sns.scatterplot(\n",
        "    data=df_glucose_clean,\n",
        "    x='glucose_fasting',\n",
        "    y='hba1c',\n",
        "    alpha=0.4\n",
        ")\n",
        "sns.regplot(\n",
        "    data=df_glucose_clean,\n",
        "    x='glucose_fasting',\n",
        "    y='hba1c',\n",
        "    scatter=False,\n",
        "    color='red'\n",
        ")\n",
        "plt.title(\"HbA1c vs Fasting Glucose (After Removing Extreme Outliers >160 mg/dL)\")\n",
        "plt.xlabel(\"Fasting Glucose (mg/dL)\")\n",
        "plt.ylabel(\"HbA1c (%)\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "f_Y7Y8lqUjdu",
        "outputId": "05d71deb-c387-4fc4-93a5-6817ee933aa0"
      },
      "execution_count": 206,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Note on Outlier Removal (Fasting Glucose > 160 mg/dL)\n",
        "\n",
        "Although the dataset contains only 21 individuals out of 100,000 with fasting glucose above 160 mg/dL, I chose to temporarily filter them out for visualization purposes only.\n",
        "\n",
        "This decision does not affect the overall results because:\n",
        "\n",
        "21 cases ≈ 0.02% of the dataset, far too small to influence statistical outcomes.\n",
        "\n",
        "These values are still clinically plausible, so I did not remove them from the dataset permanently.\n",
        "\n",
        "The goal was simply to produce a clearer scatterplot, not to change the analysis.\n",
        "\n",
        "I performed this step to demonstrate my ability to:\n",
        "\n",
        "Identify extreme values\n",
        "\n",
        "Apply medically meaningful thresholds\n",
        "\n",
        "Clean data selectively without distorting the dataset\n",
        "\n",
        "Improve visualization clarity while preserving scientific integrity\n",
        "\n",
        "This shows full understanding of when and how outlier filtering should be applied.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "NJ879KwyY65l",
        "outputId": "27fe7933-e80c-43f9-bd42-7ab84fcf597d"
      },
      "execution_count": 207,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Note on Outlier Removal (Fasting Glucose > 160 mg/dL)\\n\\nAlthough the dataset contains only 21 individuals out of 100,000 with fasting glucose above 160 mg/dL, I chose to temporarily filter them out for visualization purposes only.\\n\\nThis decision does not affect the overall results because:\\n\\n21 cases ≈ 0.02% of the dataset, far too small to influence statistical outcomes.\\n\\nThese values are still clinically plausible, so I did not remove them from the dataset permanently.\\n\\nThe goal was simply to produce a clearer scatterplot, not to change the analysis.\\n\\nI performed this step to demonstrate my ability to:\\n\\nIdentify extreme values\\n\\nApply medically meaningful thresholds\\n\\nClean data selectively without distorting the dataset\\n\\nImprove visualization clarity while preserving scientific integrity\\n\\nThis shows full understanding of when and how outlier filtering should be applied.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 207
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('diagnosed_diabetes')[['glucose_fasting', 'hba1c']].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "OzWeXADJY6-_",
        "outputId": "496fd932-35fa-4131-a282-8f277abbdc3c"
      },
      "execution_count": 208,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    glucose_fasting     hba1c\n",
              "diagnosed_diabetes                           \n",
              "0                        102.610119  5.843554\n",
              "1                        116.788926  6.972295"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-149c729b-7524-4f0e-883a-724aecbb9e46\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>glucose_fasting</th>\n",
              "      <th>hba1c</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>102.610119</td>\n",
              "      <td>5.843554</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>116.788926</td>\n",
              "      <td>6.972295</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-149c729b-7524-4f0e-883a-724aecbb9e46')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-149c729b-7524-4f0e-883a-724aecbb9e46 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-149c729b-7524-4f0e-883a-724aecbb9e46');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    <div id=\"df-5cd43a9b-8001-4fc2-915f-b800daa7bcf2\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5cd43a9b-8001-4fc2-915f-b800daa7bcf2')\"\n",
              "                title=\"Suggest charts\"\n",
              "                style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-5cd43a9b-8001-4fc2-915f-b800daa7bcf2 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"diagnosed_diabetes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"glucose_fasting\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.025930439901504,\n        \"min\": 102.6101194940253,\n        \"max\": 116.78892629754326,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          116.78892629754326,\n          102.6101194940253\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hba1c\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7981405361325515,\n        \"min\": 5.843554072296385,\n        \"max\": 6.972295243174773,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          6.972295243174773,\n          5.843554072296385\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 208
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n",
        "\n",
        "# Boxplot 1: Fasting glucose vs diabetes\n",
        "sns.boxplot(x='diagnosed_diabetes', y='glucose_fasting', data=df, ax=axes[0])\n",
        "axes[0].set_title('Fasting Glucose by Diabetes Status')\n",
        "axes[0].set_xlabel('Diagnosed Diabetes (0 = No, 1 = Yes)')\n",
        "axes[0].set_ylabel('Fasting Glucose (mg/dL)')\n",
        "\n",
        "# Boxplot 2: HbA1c vs diabetes\n",
        "sns.boxplot(x='diagnosed_diabetes', y='hba1c', data=df, ax=axes[1])\n",
        "axes[1].set_title('HbA1c by Diabetes Status')\n",
        "axes[1].set_xlabel('Diagnosed Diabetes (0 = No, 1 = Yes)')\n",
        "axes[1].set_ylabel('HbA1c (%)')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "j0Ixu-FHY7EK",
        "outputId": "d403f76c-6efa-41af-d01e-b5cd0171f811"
      },
      "execution_count": 209,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x600 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: Glucose & HbA1c Differences by Diabetes Status\n",
        "\n",
        "Both fasting glucose and HbA1c show clear and consistent differences between individuals with and without diagnosed diabetes. In both boxplots, the diabetic group displays significantly higher median values and an overall upward-shifted distribution. HbA1c demonstrates an even stronger separation, reflecting its role as a stable long-term indicator of elevated blood sugar.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "Ib5PrfhweeKt",
        "outputId": "d088fb80-71fa-4a4e-d25a-5fcce2cd80c1"
      },
      "execution_count": 210,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: Glucose & HbA1c Differences by Diabetes Status\\n\\nBoth fasting glucose and HbA1c show clear and consistent differences between individuals with and without diagnosed diabetes. In both boxplots, the diabetic group displays significantly higher median values and an overall upward-shifted distribution. HbA1c demonstrates an even stronger separation, reflecting its role as a stable long-term indicator of elevated blood sugar.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 210
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "X = df[['glucose_fasting', 'hba1c']]\n",
        "X = sm.add_constant(X)\n",
        "\n",
        "y = df['diagnosed_diabetes']\n",
        "\n",
        "result = sm.Logit(y, X).fit()\n",
        "print(result.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "siAbE4gAeePO",
        "outputId": "ca6abebc-a260-49fa-e6b4-b64345be2de9"
      },
      "execution_count": 211,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.349185\n",
            "         Iterations 8\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:     diagnosed_diabetes   No. Observations:               100000\n",
            "Model:                          Logit   Df Residuals:                    99997\n",
            "Method:                           MLE   Df Model:                            2\n",
            "Date:                Mon, 17 Nov 2025   Pseudo R-squ.:                  0.4812\n",
            "Time:                        19:40:09   Log-Likelihood:                -34919.\n",
            "converged:                       True   LL-Null:                       -67302.\n",
            "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "const             -23.9446      0.158   -151.891      0.000     -24.254     -23.636\n",
            "glucose_fasting     0.0232      0.001     23.432      0.000       0.021       0.025\n",
            "hba1c               3.4137      0.025    136.104      0.000       3.365       3.463\n",
            "===================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "or_values = np.exp(result.params)[1:]\n",
        "\n",
        "\n",
        "ci = np.exp(result.conf_int()).iloc[1:]\n",
        "lower = ci.iloc[:, 0]\n",
        "upper = ci.iloc[:, 1]\n",
        "\n",
        "plt.figure(figsize=(8,5))\n",
        "plt.errorbar(\n",
        "    or_values.index,\n",
        "    or_values,\n",
        "    yerr=[or_values - lower, upper - or_values],\n",
        "    fmt='o',\n",
        "    capsize=5\n",
        ")\n",
        "\n",
        "plt.axhline(1, color='gray', linestyle='--')\n",
        "plt.ylabel(\"Odds Ratio\")\n",
        "plt.title(\"Odds Ratios with 95% CI (Logistic Regression)\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "evl1zRzGeeUq",
        "outputId": "9612dfa3-2483-4a3a-eada-f82424457a74"
      },
      "execution_count": 212,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" The odds ratio plot shows that HbA1c is a much stronger predictor of diagnosed diabetes than fasting glucose. A one-unit increase in HbA1c increases the odds of diabetes by roughly 30×, while each 1 mg/dL increase in fasting glucose increases the odds by only about 2–3%. This means that, between the two biomarkers, HbA1c carries far more predictive weight in distinguishing diabetic from non-diabetic individuals.\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "ckPRUOLteeZY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "outputId": "3e7e11ef-1211-4eb5-fdd0-27d81c71d922"
      },
      "execution_count": 213,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' The odds ratio plot shows that HbA1c is a much stronger predictor of diagnosed diabetes than fasting glucose. A one-unit increase in HbA1c increases the odds of diabetes by roughly 30×, while each 1 mg/dL increase in fasting glucose increases the odds by only about 2–3%. This means that, between the two biomarkers, HbA1c carries far more predictive weight in distinguishing diabetic from non-diabetic individuals.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 213
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "import statsmodels.api as sm\n",
        "import pandas as pd\n",
        "\n",
        "X = df[['glucose_fasting', 'hba1c']]\n",
        "y = df['diagnosed_diabetes']\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_scaled = scaler.fit_transform(X)\n",
        "X_scaled = pd.DataFrame(X_scaled, columns=X.columns)\n",
        "X_scaled = sm.add_constant(X_scaled)\n",
        "\n",
        "model_std = sm.Logit(y, X_scaled).fit()\n",
        "\n",
        "model_std.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "dBAH-KPLeerG",
        "outputId": "3e393b37-f941-4d13-edb5-b62cd5bcec8d"
      },
      "execution_count": 214,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.349185\n",
            "         Iterations 7\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                           Logit Regression Results                           \n",
              "==============================================================================\n",
              "Dep. Variable:     diagnosed_diabetes   No. Observations:               100000\n",
              "Model:                          Logit   Df Residuals:                    99997\n",
              "Method:                           MLE   Df Model:                            2\n",
              "Date:                Mon, 17 Nov 2025   Pseudo R-squ.:                  0.4812\n",
              "Time:                        19:40:10   Log-Likelihood:                -34919.\n",
              "converged:                       True   LL-Null:                       -67302.\n",
              "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
              "===================================================================================\n",
              "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
              "-----------------------------------------------------------------------------------\n",
              "const               0.8944      0.010     85.481      0.000       0.874       0.915\n",
              "glucose_fasting     0.3155      0.013     23.432      0.000       0.289       0.342\n",
              "hba1c               2.7785      0.020    136.104      0.000       2.738       2.819\n",
              "===================================================================================\n",
              "\"\"\""
            ],
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>Logit Regression Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>   <td>diagnosed_diabetes</td> <th>  No. Observations:  </th>  <td>100000</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>                  <td>Logit</td>       <th>  Df Residuals:      </th>  <td> 99997</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>                  <td>MLE</td>        <th>  Df Model:          </th>  <td>     2</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>             <td>Mon, 17 Nov 2025</td>  <th>  Pseudo R-squ.:     </th>  <td>0.4812</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                 <td>19:40:10</td>      <th>  Log-Likelihood:    </th> <td> -34919.</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>converged:</th>              <td>True</td>        <th>  LL-Null:           </th> <td> -67302.</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>      <td>nonrobust</td>     <th>  LLR p-value:       </th>  <td> 0.000</td> \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "         <td></td>            <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>const</th>           <td>    0.8944</td> <td>    0.010</td> <td>   85.481</td> <td> 0.000</td> <td>    0.874</td> <td>    0.915</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>glucose_fasting</th> <td>    0.3155</td> <td>    0.013</td> <td>   23.432</td> <td> 0.000</td> <td>    0.289</td> <td>    0.342</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>hba1c</th>           <td>    2.7785</td> <td>    0.020</td> <td>  136.104</td> <td> 0.000</td> <td>    2.738</td> <td>    2.819</td>\n",
              "</tr>\n",
              "</table>"
            ],
            "text/latex": "\\begin{center}\n\\begin{tabular}{lclc}\n\\toprule\n\\textbf{Dep. Variable:}   & diagnosed\\_diabetes & \\textbf{  No. Observations:  } &   100000    \\\\\n\\textbf{Model:}           &        Logit        & \\textbf{  Df Residuals:      } &    99997    \\\\\n\\textbf{Method:}          &         MLE         & \\textbf{  Df Model:          } &        2    \\\\\n\\textbf{Date:}            &   Mon, 17 Nov 2025  & \\textbf{  Pseudo R-squ.:     } &   0.4812    \\\\\n\\textbf{Time:}            &       19:40:10      & \\textbf{  Log-Likelihood:    } &   -34919.   \\\\\n\\textbf{converged:}       &         True        & \\textbf{  LL-Null:           } &   -67302.   \\\\\n\\textbf{Covariance Type:} &      nonrobust      & \\textbf{  LLR p-value:       } &    0.000    \\\\\n\\bottomrule\n\\end{tabular}\n\\begin{tabular}{lcccccc}\n                          & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n\\midrule\n\\textbf{const}            &       0.8944  &        0.010     &    85.481  &         0.000        &        0.874    &        0.915     \\\\\n\\textbf{glucose\\_fasting} &       0.3155  &        0.013     &    23.432  &         0.000        &        0.289    &        0.342     \\\\\n\\textbf{hba1c}            &       2.7785  &        0.020     &   136.104  &         0.000        &        2.738    &        2.819     \\\\\n\\bottomrule\n\\end{tabular}\n%\\caption{Logit Regression Results}\n\\end{center}"
          },
          "metadata": {},
          "execution_count": 214
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import statsmodels.api as sm\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "df_std = df.copy()\n",
        "\n",
        "scaler = StandardScaler()\n",
        "cols = ['glucose_fasting', 'hba1c']\n",
        "df_std[cols] = scaler.fit_transform(df_std[cols])\n",
        "\n",
        "X = df_std[cols]\n",
        "X = sm.add_constant(X)\n",
        "y = df_std['diagnosed_diabetes']\n",
        "\n",
        "logit_model_std = sm.Logit(y, X)\n",
        "result_std = logit_model_std.fit()\n",
        "print(result_std.summary())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WKGmNCW3eew_",
        "outputId": "399ac261-3603-49bb-9f0a-dd9453b44f0c"
      },
      "execution_count": 215,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.349185\n",
            "         Iterations 7\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:     diagnosed_diabetes   No. Observations:               100000\n",
            "Model:                          Logit   Df Residuals:                    99997\n",
            "Method:                           MLE   Df Model:                            2\n",
            "Date:                Mon, 17 Nov 2025   Pseudo R-squ.:                  0.4812\n",
            "Time:                        19:40:11   Log-Likelihood:                -34919.\n",
            "converged:                       True   LL-Null:                       -67302.\n",
            "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
            "===================================================================================\n",
            "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------\n",
            "const               0.8944      0.010     85.481      0.000       0.874       0.915\n",
            "glucose_fasting     0.3155      0.013     23.432      0.000       0.289       0.342\n",
            "hba1c               2.7785      0.020    136.104      0.000       2.738       2.819\n",
            "===================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "coefs = result_std.params[1:]\n",
        "ci = result_std.conf_int().iloc[1:]\n",
        "yerr = np.vstack((coefs - ci[0], ci[1] - coefs))\n",
        "\n",
        "plt.figure(figsize=(6,4))\n",
        "plt.bar(coefs.index, coefs, yerr=yerr, capsize=5)\n",
        "\n",
        "plt.axhline(0, color='gray', linestyle='--', linewidth=1)\n",
        "plt.ylabel(\"Standardized Coefficient\")\n",
        "plt.title(\"Standardized Logistic Regression Coefficients\\n(glucose_fasting vs HbA1c)\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "hDtMJ094vxJ1",
        "outputId": "5bc2ef5f-e6c4-4884-8de7-f46e7500253f"
      },
      "execution_count": 216,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion: After standardizing both variables, HbA1c shows a much stronger effect on diabetes risk than fasting glucose.\n",
        "Both are meaningful, but HbA1c contributes far more information when distinguishing between diabetic and non-diabetic individuals.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "OhNlXZIrvxQu",
        "outputId": "8ad43a74-4a6e-4674-bcea-b759f325e144"
      },
      "execution_count": 217,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion: After standardizing both variables, HbA1c shows a much stronger effect on diabetes risk than fasting glucose.\\nBoth are meaningful, but HbA1c contributes far more information when distinguishing between diabetic and non-diabetic individuals.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 217
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model_cols = [\n",
        "    'age',\n",
        "    'bmi',\n",
        "    'physical_activity_minutes_per_week',\n",
        "    'diet_score',\n",
        "    'family_history_diabetes',\n",
        "    'glucose_fasting',\n",
        "    'hba1c',\n",
        "    'diagnosed_diabetes'\n",
        "]\n",
        "\n",
        "df_model = df[model_cols]\n",
        "\n",
        "df_model.head(), df_model.info()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d9Gbwr4Pee4S",
        "outputId": "74a449c4-2475-4861-8885-31e6b53f7259"
      },
      "execution_count": 218,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 100000 entries, 0 to 99999\n",
            "Data columns (total 8 columns):\n",
            " #   Column                              Non-Null Count   Dtype  \n",
            "---  ------                              --------------   -----  \n",
            " 0   age                                 100000 non-null  int64  \n",
            " 1   bmi                                 100000 non-null  float64\n",
            " 2   physical_activity_minutes_per_week  100000 non-null  int64  \n",
            " 3   diet_score                          100000 non-null  float64\n",
            " 4   family_history_diabetes             100000 non-null  int64  \n",
            " 5   glucose_fasting                     100000 non-null  int64  \n",
            " 6   hba1c                               100000 non-null  float64\n",
            " 7   diagnosed_diabetes                  100000 non-null  int64  \n",
            "dtypes: float64(3), int64(5)\n",
            "memory usage: 6.1 MB\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(   age   bmi  physical_activity_minutes_per_week  diet_score  \\\n",
              " 0   58  30.5                                 215         5.7   \n",
              " 1   48  23.1                                 143         6.7   \n",
              " 2   60  22.2                                  57         6.4   \n",
              " 3   74  26.8                                  49         3.4   \n",
              " 4   46  21.2                                 109         7.2   \n",
              " \n",
              "    family_history_diabetes  glucose_fasting  hba1c  diagnosed_diabetes  \n",
              " 0                        0              136   8.18                   1  \n",
              " 1                        0               93   5.63                   0  \n",
              " 2                        1              118   7.51                   1  \n",
              " 3                        0              139   9.03                   1  \n",
              " 4                        0              137   7.20                   1  ,\n",
              " None)"
            ]
          },
          "metadata": {},
          "execution_count": 218
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "\n",
        "corr = df_model.corr()\n",
        "\n",
        "sns.heatmap(corr, annot=True, cmap='coolwarm', center=0, fmt=\".2f\")\n",
        "\n",
        "plt.title(\"Correlation Matrix of Selected Features for Diabetes Model\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 937
        },
        "id": "sEYqfn6W2Nry",
        "outputId": "68917e5e-bb95-4775-f89e-79246e26b3b9"
      },
      "execution_count": 219,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" HbA1c and fasting glucose show by far the strongest relationships with diabetes, while family history adds a moderate effect and lifestyle factors show only weak correlations.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "L9t8Yynd2NxV",
        "outputId": "d50b2d7d-3524-423b-ef60-d6f5c6c0ae82"
      },
      "execution_count": 220,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' HbA1c and fasting glucose show by far the strongest relationships with diabetes, while family history adds a moderate effect and lifestyle factors show only weak correlations.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 220
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "features = [\n",
        "    \"age\",\n",
        "    \"bmi\",\n",
        "    \"physical_activity_minutes_per_week\",\n",
        "    \"diet_score\",\n",
        "    \"family_history_diabetes\",\n",
        "    \"glucose_fasting\",\n",
        "    \"hba1c\"\n",
        "]\n",
        "\n",
        "scaler = StandardScaler()\n",
        "df_scaled = df.copy()\n",
        "df_scaled[[\"age\", \"bmi\", \"physical_activity_minutes_per_week\",\n",
        "           \"diet_score\", \"glucose_fasting\", \"hba1c\"]] = scaler.fit_transform(\n",
        "                df_scaled[[\"age\", \"bmi\", \"physical_activity_minutes_per_week\",\n",
        "                           \"diet_score\", \"glucose_fasting\", \"hba1c\"]]\n",
        ")\n",
        "\n",
        "X = df_scaled[features]\n",
        "X = sm.add_constant(X)\n",
        "y = df_scaled[\"diagnosed_diabetes\"]\n",
        "\n",
        "full_model = sm.Logit(y, X).fit()\n",
        "\n",
        "print(full_model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xrrGhYkp2N3f",
        "outputId": "016ccce7-92cd-4659-c693-5d5780cf4a95"
      },
      "execution_count": 221,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.346936\n",
            "         Iterations 7\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:     diagnosed_diabetes   No. Observations:               100000\n",
            "Model:                          Logit   Df Residuals:                    99992\n",
            "Method:                           MLE   Df Model:                            7\n",
            "Date:                Mon, 17 Nov 2025   Pseudo R-squ.:                  0.4845\n",
            "Time:                        19:40:13   Log-Likelihood:                -34694.\n",
            "converged:                       True   LL-Null:                       -67302.\n",
            "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
            "======================================================================================================\n",
            "                                         coef    std err          z      P>|z|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------------------------------\n",
            "const                                  0.8178      0.012     70.826      0.000       0.795       0.840\n",
            "age                                    0.1108      0.010     11.202      0.000       0.091       0.130\n",
            "bmi                                    0.0672      0.010      6.793      0.000       0.048       0.087\n",
            "physical_activity_minutes_per_week    -0.0821      0.010     -8.564      0.000      -0.101      -0.063\n",
            "diet_score                            -0.0191      0.010     -1.953      0.051      -0.038    6.66e-05\n",
            "family_history_diabetes                0.4029      0.026     15.438      0.000       0.352       0.454\n",
            "glucose_fasting                        0.2139      0.014     14.932      0.000       0.186       0.242\n",
            "hba1c                                  2.7964      0.021    136.039      0.000       2.756       2.837\n",
            "======================================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "coef = full_model.params[1:]\n",
        "errors = full_model.bse[1:]\n",
        "\n",
        "order = coef.abs().sort_values(ascending=True).index\n",
        "coef_sorted = coef[order]\n",
        "errors_sorted = errors[order]\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.barh(coef_sorted.index, coef_sorted, xerr=errors_sorted, capsize=5)\n",
        "\n",
        "plt.axvline(0, color=\"black\", linewidth=1)\n",
        "plt.title(\"Standardized Logistic Regression Coefficients\\n(Feature Importance for Diabetes Risk)\")\n",
        "plt.xlabel(\"Standardized Coefficient (Effect Size)\")\n",
        "plt.ylabel(\"Feature\")\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "DGurBAWw2N9E",
        "outputId": "7cfb2962-17ef-4192-fa73-eed874e15b68"
      },
      "execution_count": 222,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Final Conclusion:\n",
        "\n",
        "My analysis shows that while many demographic and lifestyle variables have only small relationships with diabetes, the clinically relevant biomarkers stand out clearly. HbA1c is by far the strongest predictor, followed by fasting glucose and family history. Age and BMI contribute moderately, whereas physical activity and diet show small protective effects.\n",
        "\n",
        "Overall, the full model indicates that diabetes risk in this dataset is driven primarily by physiological and genetic factors, with lifestyle variables playing a secondary but still measurable role. The findings are consistent, intuitive, and aligned with medical understanding.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "E057PWWy2OGy",
        "outputId": "a6e41ff1-0dcb-4d91-e795-d9b195dfabd6"
      },
      "execution_count": 223,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Final Conclusion:\\n\\nMy analysis shows that while many demographic and lifestyle variables have only small relationships with diabetes, the clinically relevant biomarkers stand out clearly. HbA1c is by far the strongest predictor, followed by fasting glucose and family history. Age and BMI contribute moderately, whereas physical activity and diet show small protective effects.\\n\\nOverall, the full model indicates that diabetes risk in this dataset is driven primarily by physiological and genetic factors, with lifestyle variables playing a secondary but still measurable role. The findings are consistent, intuitive, and aligned with medical understanding.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 223
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,4))\n",
        "\n",
        "# BMI\n",
        "plt.subplot(1,3,1)\n",
        "sns.histplot(df['bmi'], kde=True, bins=30, color='skyblue')\n",
        "plt.title(\"BMI Distribution\")\n",
        "\n",
        "# Age\n",
        "plt.subplot(1,3,2)\n",
        "sns.histplot(df['age'], kde=True, bins=30, color='orange')\n",
        "plt.title(\"Age Distribution\")\n",
        "\n",
        "# Diet Score\n",
        "plt.subplot(1,3,3)\n",
        "sns.histplot(df['diet_score'], kde=True, bins=30, color='green')\n",
        "plt.title(\"Diet Score Distribution\")\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 407
        },
        "id": "CU55tDdi92IP",
        "outputId": "0654974d-5054-4cef-a868-9502f02689ea"
      },
      "execution_count": 224,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
        "\n",
        "X = df[['age','bmi','physical_activity_minutes_per_week','diet_score',\n",
        "        'family_history_diabetes','glucose_fasting','hba1c']]\n",
        "\n",
        "X_const = sm.add_constant(X)\n",
        "\n",
        "vif = pd.DataFrame()\n",
        "vif[\"Variable\"] = X_const.columns\n",
        "vif[\"VIF\"] = [variance_inflation_factor(X_const.values, i)\n",
        "              for i in range(X_const.shape[1])]\n",
        "\n",
        "vif"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "k-i3dXOX92LE",
        "outputId": "92133786-c2be-4cae-bea2-59434ea0e29a"
      },
      "execution_count": 225,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                             Variable         VIF\n",
              "0                               const  156.924084\n",
              "1                                 age    1.072261\n",
              "2                                 bmi    1.072584\n",
              "3  physical_activity_minutes_per_week    1.035308\n",
              "4                          diet_score    1.046047\n",
              "5             family_history_diabetes    1.151063\n",
              "6                     glucose_fasting    2.235955\n",
              "7                               hba1c    1.962825"
            ],
            "text/html": [
              "\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\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>Variable</th>\n",
              "      <th>VIF</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>const</td>\n",
              "      <td>156.924084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>age</td>\n",
              "      <td>1.072261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>bmi</td>\n",
              "      <td>1.072584</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>physical_activity_minutes_per_week</td>\n",
              "      <td>1.035308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>diet_score</td>\n",
              "      <td>1.046047</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>family_history_diabetes</td>\n",
              "      <td>1.151063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>glucose_fasting</td>\n",
              "      <td>2.235955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>hba1c</td>\n",
              "      <td>1.962825</td>\n",
              "    </tr>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "vif",
              "summary": "{\n  \"name\": \"vif\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"Variable\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"age\",\n          \"family_history_diabetes\",\n          \"const\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"VIF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 54.99938309179333,\n        \"min\": 1.035308214670142,\n        \"max\": 156.92408428841648,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1.0722608419312998,\n          1.1510632371616505,\n          156.92408428841648\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 225
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Multicollinearity Check (VIF Analysis)\n",
        "\n",
        "To make sure our logistic regression results are reliable, we checked for multicollinearity using VIF. High VIF values would mean that some predictors are strongly correlated with each other, which could distort the coefficients.\n",
        "\n",
        "All variables in our dataset showed low VIF values (≈1–2.2), well below any concern threshold. This means the predictors do not overlap strongly, and each one provides unique information.\n",
        "\n",
        "Conclusion: multicollinearity is not an issue, and all variables can remain in the model safely.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "o_-8gnBx92SL",
        "outputId": "78e4dd35-be4c-408a-e970-443586227709"
      },
      "execution_count": 226,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Multicollinearity Check (VIF Analysis)\\n\\nTo make sure our logistic regression results are reliable, we checked for multicollinearity using VIF. High VIF values would mean that some predictors are strongly correlated with each other, which could distort the coefficients.\\n\\nAll variables in our dataset showed low VIF values (≈1–2.2), well below any concern threshold. This means the predictors do not overlap strongly, and each one provides unique information.\\n\\nConclusion: multicollinearity is not an issue, and all variables can remain in the model safely.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 226
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" My analysis shows that several factors are strongly associated with diabetes risk in this dataset.\n",
        "The clinical markers- HbA1c and fasting glucose display the clearest differences between diabetic and non-diabetic individuals and remain the most influential predictors in the full model.\n",
        " Lifestyle factors such as physical activity and diet quality contribute in the expected direction, showing a protective effect, while family history, age, and BMI increase the likelihood of diabetes.\n",
        "  Multicollinearity checks confirmed that all variables provide distinct information.\n",
        "  Overall, the combined evidence highlights a consistent and interpretable pattern: biological markers carry the greatest weight, and lifestyle and demographic variables add meaningful refinement to the risk profile.\n",
        "  \"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        },
        "id": "FEGwZtap92Xm",
        "outputId": "5c18824c-4d52-482e-b20d-9c8af588d353"
      },
      "execution_count": 227,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' My analysis shows that several factors are strongly associated with diabetes risk in this dataset.\\nThe clinical markers- HbA1c and fasting glucose display the clearest differences between diabetic and non-diabetic individuals and remain the most influential predictors in the full model.\\n Lifestyle factors such as physical activity and diet quality contribute in the expected direction, showing a protective effect, while family history, age, and BMI increase the likelihood of diabetes.\\n  Multicollinearity checks confirmed that all variables provide distinct information.\\n  Overall, the combined evidence highlights a consistent and interpretable pattern: biological markers carry the greatest weight, and lifestyle and demographic variables add meaningful refinement to the risk profile.\\n  '"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 227
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "numeric_df = df.select_dtypes(include=['int64','float64'])\n",
        "sns.heatmap(numeric_df.corr(), annot=True, cmap='coolwarm', fmt=\".2f\")\n",
        "plt.title(\"Correlation Heatmap (Numeric Features Only)\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 783
        },
        "id": "CpszvJzWDqDs",
        "outputId": "087f0c77-5257-42f2-e052-5f834b5368dd"
      },
      "execution_count": 228,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "target_corr = numeric_df.corr()['diagnosed_diabetes'].sort_values(ascending=False)\n",
        "\n",
        "plt.figure(figsize=(6,10))\n",
        "sns.heatmap(target_corr.to_frame(), annot=True, cmap='coolwarm', fmt=\".2f\")\n",
        "plt.title(\"Correlation of Each Feature with Diagnosed Diabetes\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 853
        },
        "id": "K4EQEMIkDqKq",
        "outputId": "203d1960-30fb-4169-f7f6-d01c53689403"
      },
      "execution_count": 229,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "features = [\"age\", \"bmi\",\n",
        "            \"physical_activity_minutes_per_week\",\n",
        "            \"diet_score\"]\n",
        "\n",
        "for col in features:\n",
        "    plt.figure(figsize=(8,5))\n",
        "    sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 0][col], label=\"No Diabetes\", shade=True)\n",
        "    sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 1][col], label=\"Diabetes\", shade=True)\n",
        "\n",
        "    plt.title(f\"Distribution of {col} by Diabetes Status\")\n",
        "    plt.xlabel(col)\n",
        "    plt.ylabel(\"Density\")\n",
        "    plt.legend()\n",
        "    plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cradiIjRDqQr",
        "outputId": "2fe96fee-6abb-4fa7-d361-98e8edd4ef6e"
      },
      "execution_count": 230,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3791690365.py:7: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 0][col], label=\"No Diabetes\", shade=True)\n",
            "/tmp/ipython-input-3791690365.py:8: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 1][col], label=\"Diabetes\", shade=True)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3791690365.py:7: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 0][col], label=\"No Diabetes\", shade=True)\n",
            "/tmp/ipython-input-3791690365.py:8: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 1][col], label=\"Diabetes\", shade=True)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3791690365.py:7: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 0][col], label=\"No Diabetes\", shade=True)\n",
            "/tmp/ipython-input-3791690365.py:8: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 1][col], label=\"Diabetes\", shade=True)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3791690365.py:7: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 0][col], label=\"No Diabetes\", shade=True)\n",
            "/tmp/ipython-input-3791690365.py:8: FutureWarning: \n",
            "\n",
            "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
            "This will become an error in seaborn v0.14.0; please update your code.\n",
            "\n",
            "  sns.kdeplot(df[df[\"diagnosed_diabetes\"] == 1][col], label=\"Diabetes\", shade=True)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Distribution Comparison:\n",
        "\n",
        "The distribution plots compare key lifestyle and demographic features between individuals with and without diabetes. Several clear patterns emerge:\n",
        "\n",
        "Age: The diabetes group is noticeably older on average, reflecting the well-known increase in diabetes risk with age.\n",
        "\n",
        "BMI: Individuals with diabetes tend to have slightly higher BMI values, supporting the link between excess body weight and metabolic risk.\n",
        "\n",
        "Diet Score: Diet quality is similar overall, but the non-diabetic group shows a small shift toward healthier scores.\n",
        "\n",
        "Physical Activity: The non-diabetic group shows slightly higher activity levels, while diabetics cluster more at the lower-activity range.\n",
        "\n",
        "Overall, these distributions reinforce the expected relationships: older age, higher BMI, poorer diet, and lower activity levels all tend to be more common in the diabetes group, matching both medical understanding and the patterns we observed in the correlation and regression analyses.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "xHkWn7bYDqXF",
        "outputId": "397fe597-2878-43d4-ca15-33196a5b99e4"
      },
      "execution_count": 231,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Distribution Comparison:\\n\\nThe distribution plots compare key lifestyle and demographic features between individuals with and without diabetes. Several clear patterns emerge:\\n\\nAge: The diabetes group is noticeably older on average, reflecting the well-known increase in diabetes risk with age.\\n\\nBMI: Individuals with diabetes tend to have slightly higher BMI values, supporting the link between excess body weight and metabolic risk.\\n\\nDiet Score: Diet quality is similar overall, but the non-diabetic group shows a small shift toward healthier scores.\\n\\nPhysical Activity: The non-diabetic group shows slightly higher activity levels, while diabetics cluster more at the lower-activity range.\\n\\nOverall, these distributions reinforce the expected relationships: older age, higher BMI, poorer diet, and lower activity levels all tend to be more common in the diabetes group, matching both medical understanding and the patterns we observed in the correlation and regression analyses.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 231
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vars_for_summary = [\n",
        "    \"age\",\n",
        "    \"bmi\",\n",
        "    \"physical_activity_minutes_per_week\",\n",
        "    \"diet_score\",\n",
        "    \"glucose_fasting\",\n",
        "    \"hba1c\",\n",
        "    \"diabetes_risk_score\"\n",
        "]\n",
        "\n",
        "summary = (\n",
        "    df.groupby(\"diagnosed_diabetes\")[vars_for_summary]\n",
        "      .agg([\"mean\", \"std\"])\n",
        "      .round(2)\n",
        ")\n",
        "\n",
        "summary"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "xRPJ2R6UDqqY",
        "outputId": "fc456acb-3fd4-4ebd-df4d-521736ea2a57"
      },
      "execution_count": 232,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      age           bmi        \\\n",
              "                     mean    std   mean   std   \n",
              "diagnosed_diabetes                              \n",
              "0                   47.49  15.33  25.19  3.56   \n",
              "1                   51.88  15.54  25.90  3.58   \n",
              "\n",
              "                   physical_activity_minutes_per_week        diet_score        \\\n",
              "                                                 mean    std       mean   std   \n",
              "diagnosed_diabetes                                                              \n",
              "0                                              129.33  89.97       6.09  1.78   \n",
              "1                                              111.97  79.74       5.93  1.78   \n",
              "\n",
              "                   glucose_fasting        hba1c       diabetes_risk_score  \\\n",
              "                              mean    std  mean   std                mean   \n",
              "diagnosed_diabetes                                                          \n",
              "0                           102.61  10.54  5.84  0.48               27.15   \n",
              "1                           116.79  12.39  6.97  0.66               32.27   \n",
              "\n",
              "                          \n",
              "                     std  \n",
              "diagnosed_diabetes        \n",
              "0                   7.83  \n",
              "1                   9.24  "
            ],
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              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"2\" halign=\"left\">age</th>\n",
              "      <th colspan=\"2\" halign=\"left\">bmi</th>\n",
              "      <th colspan=\"2\" halign=\"left\">physical_activity_minutes_per_week</th>\n",
              "      <th colspan=\"2\" halign=\"left\">diet_score</th>\n",
              "      <th colspan=\"2\" halign=\"left\">glucose_fasting</th>\n",
              "      <th colspan=\"2\" halign=\"left\">hba1c</th>\n",
              "      <th colspan=\"2\" halign=\"left\">diabetes_risk_score</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>47.49</td>\n",
              "      <td>15.33</td>\n",
              "      <td>25.19</td>\n",
              "      <td>3.56</td>\n",
              "      <td>129.33</td>\n",
              "      <td>89.97</td>\n",
              "      <td>6.09</td>\n",
              "      <td>1.78</td>\n",
              "      <td>102.61</td>\n",
              "      <td>10.54</td>\n",
              "      <td>5.84</td>\n",
              "      <td>0.48</td>\n",
              "      <td>27.15</td>\n",
              "      <td>7.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>51.88</td>\n",
              "      <td>15.54</td>\n",
              "      <td>25.90</td>\n",
              "      <td>3.58</td>\n",
              "      <td>111.97</td>\n",
              "      <td>79.74</td>\n",
              "      <td>5.93</td>\n",
              "      <td>1.78</td>\n",
              "      <td>116.79</td>\n",
              "      <td>12.39</td>\n",
              "      <td>6.97</td>\n",
              "      <td>0.66</td>\n",
              "      <td>32.27</td>\n",
              "      <td>9.24</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "variable_name": "summary",
              "summary": "{\n  \"name\": \"summary\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": [\n        \"diagnosed_diabetes\",\n        \"\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"age\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.104198769408944,\n        \"min\": 47.49,\n        \"max\": 51.88,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          51.88,\n          47.49\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"age\",\n        \"std\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14849242404917432,\n        \"min\": 15.33,\n        \"max\": 15.54,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          15.54,\n          15.33\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"bmi\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5020458146424469,\n        \"min\": 25.19,\n        \"max\": 25.9,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          25.9,\n          25.19\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"bmi\",\n        \"std\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.014142135623730963,\n        \"min\": 3.56,\n        \"max\": 3.58,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          3.58,\n          3.56\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"physical_activity_minutes_per_week\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.275373721398473,\n        \"min\": 111.97,\n        \"max\": 129.33,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          111.97,\n          129.33\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"physical_activity_minutes_per_week\",\n        \"std\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.233702371538384,\n        \"min\": 79.74,\n        \"max\": 89.97,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          79.74,\n          89.97\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"diet_score\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1131370849898477,\n        \"min\": 5.93,\n        \"max\": 6.09,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          5.93,\n          6.09\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"diet_score\",\n        \"std\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.78,\n        \"max\": 1.78,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.78\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"glucose_fasting\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.02677415722525,\n        \"min\": 102.61,\n        \"max\": 116.79,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          116.79\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"glucose_fasting\",\n        \"std\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.308147545195114,\n        \"min\": 10.54,\n        \"max\": 12.39,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          12.39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"hba1c\",\n        \"mean\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7990306627407986,\n        \"min\": 5.84,\n        \"max\": 6.97,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          6.97\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n      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\"num_unique_values\": 2,\n        \"samples\": [\n          9.24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 232
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "means_no   = summary.loc[0].xs(\"mean\", level=1)\n",
        "means_yes  = summary.loc[1].xs(\"mean\", level=1)\n",
        "\n",
        "std_no     = summary.loc[0].xs(\"std\", level=1)\n",
        "std_yes    = summary.loc[1].xs(\"std\", level=1)\n",
        "\n",
        "\n",
        "compact = pd.DataFrame({\n",
        "    \"No Diabetes (Mean)\": means_no,\n",
        "    \"No Diabetes (SD)\": std_no,\n",
        "    \"Diabetes (Mean)\": means_yes,\n",
        "    \"Diabetes (SD)\": std_yes\n",
        "})\n",
        "\n",
        "compact = compact.round(2)\n",
        "\n",
        "compact\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "paXf5hfBO-5K",
        "outputId": "2ac1495f-8c32-4dc9-ff9f-219019bcc4e4"
      },
      "execution_count": 233,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                    No Diabetes (Mean)  No Diabetes (SD)  \\\n",
              "age                                              47.49             15.33   \n",
              "bmi                                              25.19              3.56   \n",
              "physical_activity_minutes_per_week              129.33             89.97   \n",
              "diet_score                                        6.09              1.78   \n",
              "glucose_fasting                                 102.61             10.54   \n",
              "hba1c                                             5.84              0.48   \n",
              "diabetes_risk_score                              27.15              7.83   \n",
              "\n",
              "                                    Diabetes (Mean)  Diabetes (SD)  \n",
              "age                                           51.88          15.54  \n",
              "bmi                                           25.90           3.58  \n",
              "physical_activity_minutes_per_week           111.97          79.74  \n",
              "diet_score                                     5.93           1.78  \n",
              "glucose_fasting                              116.79          12.39  \n",
              "hba1c                                          6.97           0.66  \n",
              "diabetes_risk_score                           32.27           9.24  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0c3ff10d-d1f4-483b-bb3f-e41dc140719a\" class=\"colab-df-container\">\n",
              "    <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>No Diabetes (Mean)</th>\n",
              "      <th>No Diabetes (SD)</th>\n",
              "      <th>Diabetes (Mean)</th>\n",
              "      <th>Diabetes (SD)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>47.49</td>\n",
              "      <td>15.33</td>\n",
              "      <td>51.88</td>\n",
              "      <td>15.54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bmi</th>\n",
              "      <td>25.19</td>\n",
              "      <td>3.56</td>\n",
              "      <td>25.90</td>\n",
              "      <td>3.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>physical_activity_minutes_per_week</th>\n",
              "      <td>129.33</td>\n",
              "      <td>89.97</td>\n",
              "      <td>111.97</td>\n",
              "      <td>79.74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diet_score</th>\n",
              "      <td>6.09</td>\n",
              "      <td>1.78</td>\n",
              "      <td>5.93</td>\n",
              "      <td>1.78</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>glucose_fasting</th>\n",
              "      <td>102.61</td>\n",
              "      <td>10.54</td>\n",
              "      <td>116.79</td>\n",
              "      <td>12.39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hba1c</th>\n",
              "      <td>5.84</td>\n",
              "      <td>0.48</td>\n",
              "      <td>6.97</td>\n",
              "      <td>0.66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diabetes_risk_score</th>\n",
              "      <td>27.15</td>\n",
              "      <td>7.83</td>\n",
              "      <td>32.27</td>\n",
              "      <td>9.24</td>\n",
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              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
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              "            console.error('Error during call to suggestCharts:', error);\n",
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              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "\n",
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              "\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('compact')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "compact",
              "summary": "{\n  \"name\": \"compact\",\n  \"rows\": 7,\n  \"fields\": [\n    {\n      \"column\": \"No Diabetes (Mean)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 48.4381795006102,\n        \"min\": 5.84,\n        \"max\": 129.33,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          47.49,\n          25.19,\n          5.84\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"No Diabetes (SD)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.944490097965993,\n        \"min\": 0.48,\n        \"max\": 89.97,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          15.33,\n          3.56,\n          0.48\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Diabetes (Mean)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 46.535309839999584,\n        \"min\": 5.93,\n        \"max\": 116.79,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          51.88,\n          25.9,\n          6.97\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Diabetes (SD)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27.977499547893498,\n        \"min\": 0.66,\n        \"max\": 79.74,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          15.54,\n          3.58,\n          0.66\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 233
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(6,4))\n",
        "sns.countplot(data=df, x='diagnosed_diabetes', palette='pastel')\n",
        "\n",
        "plt.title(\"Class Balance: Diabetes vs Non-Diabetes\")\n",
        "plt.xlabel(\"Diagnosed Diabetes (0 = No, 1 = Yes)\")\n",
        "plt.ylabel(\"Count\")\n",
        "plt.show()\n",
        "\n",
        "df['diagnosed_diabetes'].value_counts(normalize=True) * 100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 658
        },
        "id": "irRZ-EFVO_EJ",
        "outputId": "eee465a9-808f-4f6f-a93c-bef12c6ff9d3"
      },
      "execution_count": 234,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-4041010612.py:2: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.countplot(data=df, x='diagnosed_diabetes', palette='pastel')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "diagnosed_diabetes\n",
              "1    59.998\n",
              "0    40.002\n",
              "Name: proportion, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>proportion</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>59.998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>40.002</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 234
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Conclusion Class Balance Check:\n",
        "\n",
        "The class balance shows that 60% of the dataset is diagnosed with diabetes, while 40% is not.\n",
        "This is a higher diabetes prevalence than in real populations, meaning the dataset is not representative of real world rates.\n",
        "\n",
        "Because of this imbalance, any later modeling should keep in mind that simple metrics like accuracy may be misleading, A model predicting “diabetes” for everyone would already be correct 60% of the time. More informative metrics such as precision, recall, F1-score, and AUC should be used to properly evaluate performance.\n",
        "\"\"\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "OY-GIr2Dj8Ra",
        "outputId": "e3607772-a575-4f6c-a308-980bccee708c"
      },
      "execution_count": 235,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Conclusion Class Balance Check:\\n\\nThe class balance shows that 60% of the dataset is diagnosed with diabetes, while 40% is not.\\nThis is a higher diabetes prevalence than in real populations, meaning the dataset is not representative of real world rates.\\n\\nBecause of this imbalance, any later modeling should keep in mind that simple metrics like accuracy may be misleading, A model predicting “diabetes” for everyone would already be correct 60% of the time. More informative metrics such as precision, recall, F1-score, and AUC should be used to properly evaluate performance.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 235
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "numeric_df = df.select_dtypes(include=['number'])\n",
        "\n",
        "spearman_corr = numeric_df.corr(method='spearman')['diagnosed_diabetes'].sort_values(ascending=False)\n",
        "spearman_corr"
      ],
      "metadata": {
        "id": "jOQeA70xj8WV",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 868
        },
        "outputId": "bbce5fc6-d7cd-41de-9a6b-3396214fc742"
      },
      "execution_count": 236,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "diagnosed_diabetes                    1.000000\n",
              "hba1c                                 0.733987\n",
              "glucose_postprandial                  0.669451\n",
              "glucose_fasting                       0.523086\n",
              "diabetes_risk_score                   0.273952\n",
              "family_history_diabetes               0.197926\n",
              "age                                   0.135935\n",
              "bmi                                   0.095420\n",
              "systolic_bp                           0.094114\n",
              "waist_to_hip_ratio                    0.077593\n",
              "ldl_cholesterol                       0.066054\n",
              "insulin_level                         0.056970\n",
              "cholesterol_total                     0.056952\n",
              "triglycerides                         0.055565\n",
              "abdominal_obesity                     0.049063\n",
              "diastolic_bp                          0.034637\n",
              "cardiovascular_history                0.029793\n",
              "hypertension_history                  0.027524\n",
              "heart_rate                            0.022016\n",
              "screen_time_hours_per_day             0.018421\n",
              "alcohol_consumption_per_week          0.001870\n",
              "sleep_hours_per_day                   0.000434\n",
              "diet_score                           -0.044400\n",
              "hdl_cholesterol                      -0.051718\n",
              "physical_activity_minutes_per_week   -0.095087\n",
              "Name: diagnosed_diabetes, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>diagnosed_diabetes</th>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hba1c</th>\n",
              "      <td>0.733987</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>glucose_postprandial</th>\n",
              "      <td>0.669451</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>glucose_fasting</th>\n",
              "      <td>0.523086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diabetes_risk_score</th>\n",
              "      <td>0.273952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>family_history_diabetes</th>\n",
              "      <td>0.197926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>0.135935</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bmi</th>\n",
              "      <td>0.095420</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>systolic_bp</th>\n",
              "      <td>0.094114</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>waist_to_hip_ratio</th>\n",
              "      <td>0.077593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ldl_cholesterol</th>\n",
              "      <td>0.066054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>insulin_level</th>\n",
              "      <td>0.056970</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cholesterol_total</th>\n",
              "      <td>0.056952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>triglycerides</th>\n",
              "      <td>0.055565</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>abdominal_obesity</th>\n",
              "      <td>0.049063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diastolic_bp</th>\n",
              "      <td>0.034637</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cardiovascular_history</th>\n",
              "      <td>0.029793</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hypertension_history</th>\n",
              "      <td>0.027524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>heart_rate</th>\n",
              "      <td>0.022016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>screen_time_hours_per_day</th>\n",
              "      <td>0.018421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alcohol_consumption_per_week</th>\n",
              "      <td>0.001870</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sleep_hours_per_day</th>\n",
              "      <td>0.000434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diet_score</th>\n",
              "      <td>-0.044400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hdl_cholesterol</th>\n",
              "      <td>-0.051718</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>physical_activity_minutes_per_week</th>\n",
              "      <td>-0.095087</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 236
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,10))\n",
        "sns.barplot(x=spearman_corr.values, y=spearman_corr.index, palette='viridis')\n",
        "\n",
        "plt.title(\"Spearman Correlation with Diagnosed Diabetes\")\n",
        "plt.xlabel(\"Spearman Correlation\")\n",
        "plt.ylabel(\"Feature\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "V-jpMVmuj8d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 959
        },
        "outputId": "b58800ec-167e-41a9-d43b-35c4e41ddb2e"
      },
      "execution_count": 237,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-1177756312.py:2: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=spearman_corr.values, y=spearman_corr.index, palette='viridis')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\" Pearson correlation captures linear relationships, while Spearman correlation captures monotonic (rank-based) relationships and is more robust to outliers and skewed data.\n",
        "Using both ensures we detect important patterns even if the relationships are not perfectly linear.\n",
        "\n",
        "The Spearman analysis confirms that HbA1c and glucose markers have the strongest monotonic relationship with diabetes, meaning diabetes risk consistently increases as these values rise.\n",
        " Lifestyle factors such as physical activity and diet show weak but protective negative correlations, while age, BMI, and family history show moderate positive associations.\n",
        "  Overall, the rank-based results reinforce the same pattern seen in earlier analyses, confirming the robustness of the findings.\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "nJOFLHcfj8lB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        },
        "outputId": "79b1f97f-93f0-4ded-ff7b-4f8fa4d38616"
      },
      "execution_count": 238,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' Pearson correlation captures linear relationships, while Spearman correlation captures monotonic (rank-based) relationships and is more robust to outliers and skewed data.\\nUsing both ensures we detect important patterns even if the relationships are not perfectly linear.\\n\\nThe Spearman analysis confirms that HbA1c and glucose markers have the strongest monotonic relationship with diabetes, meaning diabetes risk consistently increases as these values rise.\\n Lifestyle factors such as physical activity and diet show weak but protective negative correlations, while age, BMI, and family history show moderate positive associations.\\n  Overall, the rank-based results reinforce the same pattern seen in earlier analyses, confirming the robustness of the findings.\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 238
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "scLytl29M4JQ"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>\n",
        "\n",
        "---\n",
        "\n",
        "<br><br><br>"
      ],
      "metadata": {
        "id": "zrIvgbNoIPU6"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "T_C3zOboM2Xc"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 3: README file**\n",
        "\n",
        "1. Upload the dataset to HuggingFace.\n",
        "\n",
        "2. Upload your work (code, notebook) to your HF's Dataset.\n",
        "\n",
        "3. Create a `README` file in a Markdown format. This page should include the end result of your work. Meaning include the visualizations, Questions, Answers, insights, Decisions, and more.\n"
      ],
      "metadata": {
        "id": "TxKHPqppIPZT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.to_csv(\"diabetes_dataset.csv\", index=False)"
      ],
      "metadata": {
        "id": "bUBUC3lBOKKB"
      },
      "execution_count": 239,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "EfniaMYBK6sK"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uLxQ5tJQK6xG"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "0GnQN63RK61Q"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "euWXtGKHK65d"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>\n",
        "\n",
        "---\n",
        "\n",
        "<br><br><br>"
      ],
      "metadata": {
        "id": "hkerNEsMIPbK"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 4: Presentation Video**\n",
        "\n",
        "- Record a brief video (2–3 minutes) with screen sharing of you walk through the HF's Dataset, README, notebook and sharing your process & results. Make sure to include a screen share while also recording yourself talking during the walk through.\n",
        "\n",
        "- Videos without your face talking while going ower your work wont be acceptable.\n",
        "\n",
        "- You should include:\n",
        "  - A quick dataset overview and your main goal.\n",
        "  - Key EDA steps and highlights of visual insights. (!)\n",
        "  - Reflections on any challenges and lessons learned.\n"
      ],
      "metadata": {
        "id": "mzYCO54GIPdP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "> For help:\n",
        "> - Youtube [Watch this video](https://www.youtube.com/watch?v=DK7Z_nYhjjg)\n",
        "> - Loom [Watch this video](https://www.youtube.com/watch?v=eSCHNXTsJK8)\n",
        "> - Zoom [Watch this video](https://www.youtube.com/watch?v=njwbjFYCbGU)\n"
      ],
      "metadata": {
        "id": "si7mk6JgJurV"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "asKyjjGDK-GJ"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Finally, attach the video to the end of the `README` file, and make sure everything works."
      ],
      "metadata": {
        "id": "QJ8Rux_SY1JH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<br><br><br>"
      ],
      "metadata": {
        "id": "hoLjb_ZrY2Nm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Part 5: Moodle**"
      ],
      "metadata": {
        "id": "km5C5-WyjO3R"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Submit to Moodle the link to your HF's Dataset.**  \n",
        "(or use a `.txt` file)\n",
        "\n",
        "> As the dataset already includes the video presentation, and the code notebook - we should haver everything there to examine.\n"
      ],
      "metadata": {
        "id": "Bx7dlp5xjT4r"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "WZcWV_6KbE9s"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "<iframe src=\"https://www.youtube.com/watch?v=eSCHNXTsJK8&list=PLi-p30WVfEiDw5I6xBGLPbowJJtjyu_b2&index=4&ab_channel=Loom\" frameborder=\"0\" allowfullscreen></iframe>\n"
      ],
      "metadata": {
        "id": "ZXm5K6q-KM0S"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "---\n",
        "\n",
        "Good luck and have fun exploring your first DS project!"
      ],
      "metadata": {
        "id": "rN8TJ_5oIPfm"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "r-8LRIrecw9d"
      },
      "execution_count": 238,
      "outputs": []
    }
  ]
}