Data wrangling (or munging) transforms raw data into a structured format for analysis. The process involves:
- Gathering data from different sources.
- Addressing errors and inconsistencies.
- Transforming the data into a usable format.
The data wrangling process handles missing values, deletes duplicate data points and converts data types into an appropriate format. After, the data is ready for further tasks, such as machine learning or statistical analysis.