{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "994f67e0-ce39-492f-bb9a-088f7885c1d6", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# Load dataset\n", "df = pd.read_csv('data.csv')\n", "\n", "# Display first few rows of the dataset\n", "df.head()\n", "\n", "# Summary statistics\n", "df.describe()\n", "\n", "# Data visualization\n", "plt.figure(figsize=(10, 6))\n", "sns.histplot(df['column_name'], bins=30, kde=True)\n", "plt.title('Distribution of Column Name')\n", "plt.xlabel('Column Name')\n", "plt.ylabel('Frequency')\n", "plt.show()\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.1" } }, "nbformat": 4, "nbformat_minor": 5 }