{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86625251",
   "metadata": {},
   "source": [
    "# Assignment 4: EDA - Correlation Analysis\n",
    "Perform correlation analysis on a dataset of car features and prices.\n",
    "Calculate correlation matrix and plot a heatmap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3ae5847",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Synthetic dataset\n",
    "data = {\n",
    "    'horsepower': [120, 150, 100, 180],\n",
    "    'weight': [3000, 3200, 2800, 3500],\n",
    "    'price': [20000, 25000, 18000, 30000]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Correlation matrix\n",
    "corr_matrix = df.corr()\n",
    "\n",
    "# Plot heatmap\n",
    "sns.heatmap(corr_matrix, annot=True)\n",
    "plt.title('Correlation Heatmap')\n",
    "plt.show()\n",
    "\n",
    "# Error: Incorrect column name\n",
    "print(df['Price'])"
   ]
  }
 ],
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  "language_info": {
   "name": "python"
  }
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 "nbformat_minor": 5
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