{
  "cells" : [
    {
      "cell_type" : "markdown",
      "id" : "8ACA729F-307A-42C8-A6AF-FBEDC2980F1E",
      "metadata" : {

      },
      "source" : [
        "# Data Analysis\n",
        "\n",
        "Exploratory data analysis notebook."
      ]
    },
    {
      "cell_type" : "code",
      "execution_count" : null,
      "id" : "A9E602B6-84E3-4F0D-8F38-754D46CB2F43",
      "metadata" : {

      },
      "outputs" : [

      ],
      "source" : [
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type" : "markdown",
      "id" : "68ACCC38-773D-4608-B8D8-B2248F998AC0",
      "metadata" : {

      },
      "source" : [
        "## Load Data"
      ]
    },
    {
      "cell_type" : "code",
      "execution_count" : null,
      "id" : "8A9A955F-D8DB-4207-8083-5EB21FB244F9",
      "metadata" : {

      },
      "outputs" : [

      ],
      "source" : [
        "# Create sample data\n",
        "data = {\n",
        "    'name': ['Alice', 'Bob', 'Charlie', 'Diana'],\n",
        "    'age': [25, 30, 35, 28],\n",
        "    'score': [85.5, 92.0, 78.3, 95.1]\n",
        "}\n",
        "df = pd.DataFrame(data)\n",
        "df"
      ]
    },
    {
      "cell_type" : "markdown",
      "id" : "0D274DA9-3746-4D9A-954D-C8E8746292B3",
      "metadata" : {

      },
      "source" : [
        "## Summary Statistics"
      ]
    },
    {
      "cell_type" : "code",
      "execution_count" : null,
      "id" : "5612B4D1-C507-4DAF-801B-00457ABD2316",
      "metadata" : {

      },
      "outputs" : [

      ],
      "source" : [
        "df.describe()"
      ]
    }
  ],
  "metadata" : {
    "kernelspec" : {
      "display_name" : "Python 3 (Pyodide)",
      "language" : "python",
      "name" : "python3"
    },
    "language_info" : {
      "name" : "python",
      "version" : "3.14.2"
    }
  },
  "nbformat" : 5,
  "nbformat_minor" : 10
}