Data wrangling

Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data into a format suitable for analysis. This process involves steps such as data collection, cleaning, transformation, integration, enrichment, and validation to ensure data accuracy and consistency. Data wrangling is essential for data analysts and scientists who require reliable and well-structured data for insightful analysis.