Donut chart

This chart shows the proportion of different categories using donut segments. The sum of all segments is 100%. The size of each segment corresponds to the percentage of a category in the total amount. A number in the center of a ring depends on the selected measure and indicates the overall total. Donut charts are a good choice if you need to display a small number of segments.

donut-chart

Source table
YearSales
20226M
202128M
202018M
20199M
20181M

Sections in the wizard

Section
in the wizard
Description
ColorDimension. You can only specify one field here.
MeasuresAffects the size of donut segments. The total value of a measure is displayed in the center of a ring. You can only specify one field here.
SortingA measure or dimension from the Color section. Affects segment sorting. The sorting direction is marked with an icon next to the field: ascending or descending. To change the sorting direction, click the icon.
SignaturesMeasure. Displays measure values on the chart. To add callouts with category names to the chart, drag the Measure Names dimension to this section.
FiltersDimension or measure. Used as a filter.

Creating a donut chart

To create a donut chart:

  1. On the DataLens home page, click Create chart.
  2. Under Dataset, select a dataset for visualization.
  3. Select Donut chart as the chart type.
  4. Drag a dimension or measure from the dataset to the Color section.
  5. Drag a measure from the dataset to the Measures section. The values are displayed as donut chart segments.

To disable displaying a number in the center:

  1. In the top-left part of the screen, click .
  2. In the Chart settings window, disable the Results option.
  3. Click Apply.

Recommendations

  • If there are more than 4-6 segments per chart, group the smallest of them as Other. A larger number of segments overloads a chart and makes it difficult to understand the data.
  • You cannot display negative and null values on this type of chart.
  • Do not use donut charts to show changes to proportions over time or for precisely comparing data by category.
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