Which command is useful for displaying a time-based chart of averages?

The timechart command is specifically designed to create time-based visualizations that display statistical summaries of data over time. When you use timechart, you typically specify an aggregation function—such as average, count, sum, etc.—along with a time span, allowing you to see trends in your data over a defined time interval.

For instance, when you want to visualize how the average value of certain metrics changes over a period, timechart becomes the ideal choice as it organizes the data chronologically and provides a more intuitive understanding of patterns and fluctuations over time. This is particularly useful for performance monitoring, seasonal trends, and any scenario where time is a key factor.

The other commands serve different purposes: the chart command can create various types of charts but does not inherently focus on time series data; stats is used for generating statistics in a tabular format and is more generalized; and table presents data in a simple row-and-column format without any intrinsic time-series capability. Thus, while these commands have their specific uses, timechart stands out for its dedicated focus on time-based data visualization.