Look for rectangles that stand out from values in other categories. This can help you determine which cross section of categories have the highest values of the function you chose, which ones have the lowest, or both.
Step 2: Look for patterns in your data
Depending on the type of data you have for your row variables and column variables, you might see patterns in the data. For example, a heatmap might show how a variable changes as person's age increases.