in this challenge, I tackled some of the most common data clenaing problems encountered when analyzing data through five hands-on exercises with real, messy data to answer most of the commonly asked data clenaing questions.
Handling Missing Values
Data Scaling and Normalization
Cleaning and Parsing Dates
Character Encoding Errors (no more messed up text fields!)
Fixing Inconsistent Data Entry & Spelling Errors