Use Heatmap to compare the means or other summary statistics using a color gradient to represent the impact of different groups.

For example, a heatmap might show how a variable changes as person's age increases. In this example, infections in the South region increased in the younger population each month from …

Use Heatmap to investigate the relationship between one or more categorical variables and a summary statistic. The summary statistic that you select, such as mean or sum, determines …

Choose Graph > Heatmap. In Graph variables, enter Infections. From Function, select Sum. In Row variables, enter Region and Age. In Column variables, enter Month. From Gradient type, …

The heatmap shows the sum of Infections for each cross section of the row and column variables.

Enter one or more grouping variables in By variables to create a separate heatmap for each level of the grouping variables. The columns that you enter can be numeric or text, and must be the …

Minitab uses the value you enter to define the color gradient in the heatmap. For example, if you enter 50, Minitab uses the 50th percentile to define the color gradient for each rectangle of the …

When you enter multiple columns in Graph variables, select this option to use the same gradient scale for each heatmap created for the different columns.

Use Heatmap to visualize the results of an Attribute Agreement Analysis. Heatmaps plot statistics like the mean of numeric attributes or like the counts of text attributes. For example, you can …

Use Heatmap to visualize nested study results by multiple categorical variables. In a nested study, each part is unique to the operator; no two operators measure the same part. This study is …