Online Donut Chart Maker

Ring Body (Data Layer): Composed of one or more concentric rings, each ring is divided into several sector areas. The arc length/area proportion of the sector directly reflects the data weight.

Label System (Information Layer): Sector names and sector values.

Legend and Annotations (Auxiliary Layer): Legends can use color blocks + text descriptions. If there is a total value, it can be marked within the center of the ring.

With ProcessOn, there's no need to import external files or manually clean data. Simply drag the donut chart template into the canvas, enter the category name and values ​​in the chart data box on the right, and the system will automatically calculate the proportions and generate the donut chart. Furthermore, the donut charts feature dynamic presentation effects; you can click to select and display only a specific example from the chart.

The donut chart is a variant of the pie chart. It is similar to the basic pie chart, using sector areas to show the proportion of each part. The difference is that the center of the ring chart is empty, forming a ring structure.

Compared to the basic pie chart, the ring chart is visually more concise. The blank area in the center can be used to add additional information, such as total values, titles, icons, etc., enhancing the information transmission capability of the chart.

Display the proportion relationship between the whole and parts: When there is a need to clearly present the share of different category data in the overall, the donut chart is an excellent choice.

Comparison of multiple data groups: If there is a need to compare the proportion of similar data in different time periods, regions, or business lines, the donut chart can be chosen.

Emphasize core data: Since the hollow area in the center of the donut chart can hold important information, when there is a need to highlight a key data or core conclusion, the ring chart can play a unique advantage.

Reasonable Data Classification: The classification standard should be clear and unified, and each data category should be independent and non-overlapping.

Sector Area Matches Data Proportion: The area of each sector must strictly be proportional to the proportion of the corresponding data category in the whole.

Coordinated Color Matching: When choosing colors, pay attention to the contrast and coordination of colors to avoid using colors that are too similar, making it difficult to distinguish sector areas.