Stacked Area

Owned by James Goodwin
Last updated: Jan 21, 2022
3 min read

Click the Stacked Area chart icon to visualise your data as a stacked area chart. A stacked area chart allows you to identify and compare trends in multiple metrics using multiple line charts stacked on top of each other.

Stacked area charts show multiple lines showing showing something different, whereas stack area charts show can show one or multiple lines each showing the same 

Examples

Compare two different metrics. 

You might use the stacked area chart to compare two different metrics. For example, how many users were active vs inactive in Fuse over the last 6 months. 

To recreate this example: 

  • Drag the Active Users and Never logged In measures from the Data Catalogue, into the Measures section.

  • Drag the Date attribute from the Data Catalogue, into the Measures section. From the as dropdown, select Day. From the group by dropdown, select Quarter.  

  • Drag the Date measure from the Data Catalogue, into the Filters section. 


    Select Last 12 Months from the Period dropdown. 

Compare different categories

You might use a stacked area chart to compare different categories. For example, the relative difference between percentage of views for each content type over a specific period of time. 


 

To recreate this example: 

  • Drag the Content Views measure from the Data Catalogue, into the Measures section. 

  • Drag the Date measure from the Data Catalogue, into the Measures section. From the as dropdown, select Day. From the group by dropdown, select Year.  

  • Drag the Content Type attribute from the Data Catalogue, into the Stack By section. This allows you to stack each content type on top of each other, so that you can compare the content views for each one.  

Additional features

The Stacked Area chart also allows you to: 

Apply filters

You filter the data in the chart, in the Filters section. 

Customise the look and feel

You can customise the look and feel of the chart to match your organisation's branding. For more information on customising insights, see the Configuration section.