What type of analytics is performed when generating a histogram of tips?

When generating a histogram of tips, the type of analytics being performed is descriptive analytics. This form of analytics is focused primarily on summarizing and presenting data in a way that makes it easy to understand the underlying patterns and characteristics.

A histogram visually depicts the distribution of data points, in this case, tips, across different intervals or bins. By creating this visual representation, one can observe trends, such as the most common tip amounts, the frequency of tips in various ranges, and overall patterns in the data set. Descriptive analytics serves to describe what has occurred and provides insights into historical performance by summarizing past events or behaviors in a clear manner.

In contrast, diagnostic analytics would be more focused on understanding why certain trends or patterns occurred, predictive analytics would look to forecast future trends based on historical data, and prescriptive analytics would advise on possible actions to take based on the data analysis. These other types of analytics serve different purposes and are applied in different contexts than what is used in generating a histogram.