data wrangling

Data wrangling is the process of cleaning, organizing, and transforming raw data into a structured format suitable for analysis. It involves tasks like correcting errors, filling in missing information, reformatting data, and combining different data sources. Think of it as preparing messy, unorganized data into a tidy, consistent form so that it can be easily analyzed to extract meaningful insights. This step is crucial because good-quality, well-structured data forms the foundation for accurate and effective decision-making.