Which term is NOT a step in the data wrangling process?

Loading is a preliminary step typically associated with data ingestion rather than the data wrangling process itself. In the context of data wrangling, the primary focus is on preparing the data for analysis once it has already been loaded into a system.

Data wrangling primarily involves the processes of cleaning, transforming, and joining datasets. Cleaning refers to identifying and correcting errors or inconsistencies within the data, ensuring its quality and reliability for analysis. Transforming involves modifying the data into a suitable format or structure that aligns with the requirements of further analysis, such as normalization or aggregating data points. Joining is the process of combining different datasets based on common keys or attributes to create a unified dataset that provides a broader context for analysis.

Therefore, while loading is a vital activity in the overall workflow of data handling, it does not fall under the specific steps encompassed within the data wrangling phase.