Stacked Row Chart
Learn to build and use stacked row charts in the Cohort Browser.
When to Use Stacked Row Charts
Stacked row charts can be used to compare the distribution of values in a field containing categorical data, across different groups in a cohort. In a stacked row chart, each such group is defined by its member sharing the same value in another field that also contains categorical data.
When creating a stacked row chart, note that:
Both the primary and secondary fields must contain categorical data
Both the primary and secondary fields must contain no more than 20 distinct category values
Primary Field
Secondary Field
Categorical (<=20 distinct category values)
Categorical (<=20 distinct category values)
Using Stacked Row Charts in the Cohort Browser
In the stacked row chart below, the primary field is VisitType, while DoctorType is the secondary field. In this chart, a cohort has been broken down into two groups, with the first sharing the value "Out-patient" in the VisitType field, while the second shares the value "In-patient."
The size of each bar, and the number to its right, indicate the total number of records in each group. In the chart below, for example, we see that 3,179 records contain the value "Out-patient" in the VisitType field.
Each bar contains a color-coded section indicating how many of the group's records contain a specific value in the secondary field. Hovering over one of these sections reveals how many records, within a particular group, share a particular value in the secondary field. In the chart below, for example, we see that 87 records in the first group share the value "specialist" in the DoctorType field.
Cohort Compare
Stacked row charts are not supported in Cohort Compare. Use a list view instead.
Preparing Data for Visualization in Stacked Row Charts
When ingesting data using Data Model Loader, note that the following data types can be visualized in stacked row charts:
String Categorical
String Categorical Sparse
Integer Categorical
Last updated
Was this helpful?