What are the three basic actions you can perform within a query in Analytics?

The correct answer highlights three fundamental actions that can be performed within a query in Analytics: aggregating, grouping, and filtering the data.

Aggregating refers to the process of summarizing data, which enables you to compute totals, averages, or other statistical metrics based on specific criteria. This is essential for drawing insights from large datasets.

Grouping is the action of organizing data into categories based on shared attributes. This allows for the application of aggregation functions on these categorized groups, providing a clearer picture of trends or distributions within the data.

Filtering allows users to include or exclude data based on certain conditions or criteria, ensuring that the analysis focuses on relevant subsets of data. By filtering, you can narrow down the data to address specific analysis needs or questions.

These three actions form the core capabilities needed to perform effective data analysis in a querying context, as they allow for both organized presentation and detailed insights into the data being analyzed.

The other options include actions that, while relevant, do not represent the most basic set of operations for querying in Analytics. Counting is a specific type of aggregation, sorting does not inherently contribute to aggregation or categorizing of data, and joining refers to combining multiple datasets, which, while important, is not as fundamental to querying as the