What functionality allows you to summarize values in created columns?

The correct answer, utilizing summarization functions, is key in summarizing values within created columns. Summarization functions are designed to perform calculations or aggregations across a set of data, which enables users to derive meaningful insights from raw data by condensing it into summarized values. This functionality can include calculating sums, averages, counts, or other statistical measures that help to encapsulate the information in a more digestible format.

In the context of data analysis, summarization functions allow for a more efficient way to interpret larger datasets by providing a concise overview of the values, which can be particularly useful in decision-making processes. By applying these functions, users can transform detailed data into summary reports or dashboards that highlight key performance indicators or trends.

Other options, while related to data management, do not directly focus on summarizing values in the same way. Multi-scenario calculations pertain to the ability to analyze different scenarios, custom filters are used for narrowing down data based on specific criteria, and sorting column data involves arranging the data in a particular order without aggregating or summarizing it. Thus, these functionalities serve distinct purposes compared to the summarization capabilities provided by summarization functions.