Which command would you typically use to aggregate data over a time period?

The command that is typically used to aggregate data over a time period is the stats command. This command allows users to perform various statistical operations on their data, such as counting, summing, averaging, and more, often grouped by specific fields or time intervals.

When analyzing time-series data, the stats command is particularly powerful because it can summarize large datasets to show trends and patterns over time. For instance, you might use stats to compute the average, total, or count of events that occur within specified time frames—this enables insights into how metrics change over time.

While the other options may have certain functionalities related to data manipulation or aggregation, they do not have the same breadth and flexibility as the stats command when it comes to summarizing data based on time spans. The transaction command, for example, is used for grouping related events but is not inherently focused on aggregation like stats. Likewise, count and sum can serve specific functions within broader operations but do not encapsulate the full aggregation capabilities provided by the stats command.