Which function is used in Splunk to perform statistical analysis of data?

The function used in Splunk to perform statistical analysis of data is "stats." This function aggregates data, allowing users to compute various statistics such as counts, sums, averages, maximums, minimums, and more. It can group data by specified fields and output the results in an easy-to-read format. This is fundamental for analyzing large datasets effectively, as it enables users to summarize and gain insights from their data quickly.

For instance, if you want to determine the total number of events per source, you can use the stats function to group the events by source and calculate the count for each. The versatility and capabilities of the stats function make it essential for any statistical analysis within Splunk.

In contrast, while eval can perform calculations and manipulate data fields, it does not aggregate data like stats. The table function is primarily used for formatting and displaying results in a tabular form, and the where clause is utilized for filtering results based on conditions rather than performing statistical calculations.