A Pie/Doughnut chart expresses a part-to-whole relationship in a data set. It will always add up to 100%. So, if, for instance, you want to show "How does 100% divide up into multiple shares?" you should always use a Pie/Doughnut Chart with % as a data label.

1. Pie Chart

Pie Chart in Google Data Studio
Pie Chart in Google Data Studio
  • In Chart B, we can quickly identify that the 25-34 group has the highest 'Users' share, but we can only guess the % share for any of the age groups.

  • Unlike a Scorecard, a Pie chart doesn't have a Metric name. In Chart B, we can't see which metric is used.

Recommended: Yes [A]

  • Yes, this is one of the most widely used charts across the industry.

  • If you want to show "how does 100% divide up into a few shares?", it's best practice to use only Pie/Doughnut Charts.

2. Doughnut Chart

Doughnut Chart in Google Data Studio
Doughnut Chart in Google Data Studio
  • In Chart B, we can quickly identify that the 25-34 group has the highest 'Users' share, but we can only guess the % share for any of the age groups.

  • Unlike a Scorecard, a Doughnut chart doesn't have a Metric name. In Chart B, we can't see which metric is used.

Recommended: Yes [A]

  • Yes, this is one of the most widely used charts across the industry.

  • If you want to show "how does 100% divide up into a few shares?", it's best practice to use only Pie/Doughnut Charts.

  • My personal favorite, the advantage of using a doughnut chart has a space in the middle for a Scorecard. In this example, "The total users making up 100%". This way, audiences can compare against an individual element.

3. Pie/Doughnut Chart with Value as a Data Label

Pie/Doughnut Chart with Value as a Data Label in Google Data Studio
Pie/Doughnut Chart with Value as a Data Label in Google Data Studio
  • In both Charts, we can see that the 25-34 group has the highest users, but we can only guess the % share for any age group. Your report audience will always expect more information from a Pie/Doughnut chart.

Recommended: No

  • If you want to see a part-to-whole relationship in a data set, chart data labels should always be % and avoid having number labels at any cost.

4. Column/Bar Chart as a Pie Chart Alternative?

Column and Bar Chart in Google Data Studio
Column and Bar Chart in Google Data Studio
  • Column charts use vertical columns to compare different KPIs, while a Pie/Doughnut chart expresses a part-to-whole relationship in a data set. It is best practice to avoid Column/Bar charts as a Pie chart alternative.

  • In both Charts, we can see that the 25-34 group has the highest users, but we can only guess the % share for any age group. Bar/Column charts have a different use case and should be avoided as an alternative to Pie/Doughnut charts.

Recommended: No

  • Bar/Column charts have different use and shouldn't be used as a Pie chart alternative.

Enjoy reading the guide? I have explained every chart available in the new Data Studio Book here. Visual explanations for graphs configurations, style, format, and recommendations. So you can also see how the final result will look and why one design is better than others for the same chart.