Heatmap
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Last updated
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Users can use the heatmap visual to a grid using colours to represent different values. This is particularly useful to identify intersections of data with high or low values relative to others.
Users can define a colour scheme from a range of panel-specific colour palettes. There is also a filter bar so users can select the threshold of values to appear in the heatmap.
Step 1: Select one or more columns to appear in your heatmap from the list of columns in your metadata table.
These column variables will appear on the y-axis of your heatmap.
Step 2: Select the variable from your metadata table to appear on the x-axis of your heatmap.
Step 3: Select whether Counts or Percentages will appear as the colours and labels.
You may also elect to hide labels from the heatmap. The colours will remain if you hide your labels and note the differences in colour density depending if you are showing Counts or Percentages.
Select one or more values from the columns to be included in the Counts or Percentages.
Consider whether you would like to exclude blank values, this is particularly important if you are calculating percentages.
The x-axis labels can also be rotated so that labels with more characters can be easily read.
The heatmap panel calculates counts or percentages using your metadata. Percentages are based on the variable selected for the x-axis, with the total of all metadata rows for that variable serving as the denominator. Selecting specific values in the Values losenge (Step 3) does not alter this denominator; if all values are selected, the percentages will total 100%.
