Introduction to Data Cleaning
Introduction to Data Cleaning
Data cleaning is the process of identifying and correcting errors, inconsistencies, and missing values in datasets. Clean data ensures accurate analysis and reliable insights.
Why Data Cleaning is Important
- Improves data quality
- Reduces errors in analysis
- Ensures reliable insights
- Improves decision making
Most analysts spend a significant amount of time cleaning data before performing analysis.
