Working with Data: NumPy, pandas, SQL and Visualisation · Interactive activity

Cleaning messy data

0 XP

“Delhi”, “delhi ” and “DELHI” are three cities to a computer

One typo in a salary, ₹900 lakh instead of ₹9 lakh, can drag a whole model off course. Real data is full of this.

Age is blank for a few people. What's usually the safest first step?