What is the necessary step for creating a curated Data Set from multiple existing Data Sets?

Creating a curated Data Set from multiple existing Data Sets involves the step of adding data. In this context, "adding data" refers to the process of integrating or combining various data sources to form a cohesive and comprehensive Data Set. This step is critical because it ensures that relevant information from different Data Sets is brought together, allowing for enhanced analysis and insights.

When creating a curated Data Set, you often start with several distinct Data Sets that contain unique pieces of information related to your analytics goals. By adding data from these sources, you can build a more complete and enriched Data Set that reflects the various dimensions of your data. This process may include identifying and incorporating relevant fields or records while ensuring that the data is structured in a manner conducive to analysis and reporting.

While merging columns, aggregating, and filtering are all important functions in data preparation and transformation, they typically follow the initial step of adding data. Merging columns pertains to combining two or more fields into one, while aggregating involves summarizing data points (like calculating sums or averages). Filtering is about refining the data set to include only certain records that meet specific criteria. All of these tasks are secondary actions that enhance the Data Set after the initial data addition step has been accomplished.