{ "cells": [ { "cell_type": "markdown", "source": [], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "import pandas as pd\r\n", "import glob\r\n", "\r\n", "#Loading the dataset\r\n", "path = '../../data/emails.csv'\r\n", "email_df = pd.read_csv(path)" ], "outputs": [], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "# Using Describe on the email dataset\r\n", "print(email_df.describe())" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [], "metadata": {} } ], "metadata": { "orig_nbformat": 4, "language_info": { "name": "python", "version": "3.9.7", "mimetype": "text/x-python", "codemirror_mode": { "name": "ipython", "version": 3 }, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py" }, "kernelspec": { "name": "python3", "display_name": "Python 3.9.7 64-bit ('venv': venv)" }, "interpreter": { "hash": "6b9b57232c4b57163d057191678da2030059e733b8becc68f245de5a75abe84e" } }, "nbformat": 4, "nbformat_minor": 2 }