How to Clean Messy CSV Files with Python: A Beginner’s Guide

Short summary

This beginner's guide covers cleaning messy CSV files using Python's pandas library. Topics include handling missing values, duplicate rows, wrong data types, mixed date formats, invalid emails, and currency values. It is a practical tutorial aimed at data practitioners starting with data preprocessing.

• •Use pandas to handle missing values and duplicate rows in CSV files
• •Fix wrong data types, mixed date formats, invalid emails, and currency values
• •Beginner-friendly tutorial for foundational data cleaning skills

Generated with AI, which can make mistakes.