Complete Guide: Working with CSV/Excel Files and EDA in Python

This tutorial provides a comprehensive guide to working with CSV/Excel files and performing exploratory data analysis (EDA) using Python. It covers importing, cleaning, and preprocessing data, exploring data through statistics and visualization, and deriving insights from business data using libraries such as pandas, NumPy, matplotlib, and seaborn. The guide uses a realistic e-commerce dataset to demonstrate the entire workflow, including merging datasets and handling data quality issues.