Data Cleaning and Processing
Regex Applications - Lesson 5 (Final)
20 min
Progress0/3
Data Cleaning Strategies
Concept
Data cleaning involves removing unwanted characters, standardizing formats, and fixing inconsistencies. Regex excels at pattern-based transformations.
Example
Remove extra spaces: \s+ → single space Standardize phone: replace various formats with consistent format
Practical Application
Identify patterns in messy data, then create regex to standardize or clean them