Clean a Messy Real-World Dataset in Pandas (Full Hands-on Project) | Pandas Course #21

No tidy textbook data today: this survey was filled in by real people, typing whatever they liked, and it shows. In this 25-minute lesson you'll learn to: ✅ Audit a messy dataset: size, gaps, labels and types ✅ Standardise free-text answers into clean categories ✅ Fix types, ordered bands and duplicate submissions ✅ Validate values, save the result and answer a real question 📊 Data: the 2021 Ask a Manager salary survey (26,232 answers) 🛠️ Mini-project: does experience pay in the US? This is Lesson 21 of 65 in the free Pandas Full Course: from your first DataFrame to real business and machine-learning projects. Pandas is the tool data analysts use every day, and every lesson uses real data, so you finish with skills you can show an employer. 📓 Free notebooks, datasets and 500+ lessons (no sign-up): https://www.mathewkanalytics.com/?utm_source=youtube&utm_medium=description ⏱️ Chapters 0:00 Introduction 1:50 Audit first: measure the mess 5:04 Standardise free-text labels 8:42 Fix the types: dates, numbers and ordered bands 12:51 Remove duplicate submissions 14:30 Validate salaries and keep comparable rows 18:04 Save the clean table, and check it survives 20:13 Mini-project: does experience pay in the US? 23:25 Recap 24:05 Challenges 24:32 What's next ⏮️ Previous: Outliers & Validation: https://youtu.be/3kG43Z9j1ho ▶️ Next: apply(): https://youtu.be/Y9_A3dpeEmA 📚 Full Pandas course playlist: https://www.youtube.com/playlist?list=PLcjVCNrv7tsA 💬 Stuck on a step? Ask in the comments and I'll help. #Pandas #Python #DataAnalysis