9. Data Cleaning A–Z in pandas
Chala mitrano, aaj aapan messy Blinkit export swachh karuya — missing values, duplicates, dtypes, outliers, rename/replace. Clean data = trustworthy EDA. Ghabru naka, checklist vapruja.
What you will learn in this chapter
- Find and handle missing values
- Drop or fix duplicates
- Fix dtypes and text noise
- Spot outliers and export a clean CSV
Fictional data
Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.
Concepts in this chapter
The chapter recap is at the end of the last concept page.