What use case is best suited for a donut chart in Tanium Trends?

A donut chart is particularly effective for illustrating the shares of a whole for a single day because it visually represents how different categories contribute to a total. This type of chart emphasizes the proportion of various segments within a single dataset, making it easy to grasp the distribution of values at a glance. In scenarios such as displaying a slice of data from a single day—like the distribution of software installations across various platforms or the percentage of devices in different compliance statuses—a donut chart clearly delineates the relationships between categories, helping users quickly assess how each part relates to the overall dataset.

In contrast, while other chart types might lend themselves better to different use cases—like historical performance or tracking changes over time—those require different types of comparisons or trend analysis that aren't as effective when represented in a donut format. Similarly, comparing multiple datasets would muddle the clarity of a donut chart’s purpose by attempting to show too many variables simultaneously. This makes the donut chart's primary function of conveying a snapshot of proportion for a single day particularly suitable.