Row Chart
Learn to build and use row charts in the Cohort Browser.
When to Use Row Charts
Row charts can be used to visualize categorical data.
When creating a row chart, note that:
The data must be from a field that contains either categorical or categorical multi-select data
This field must contain no more than 20 distinct category values
The values cannot be organized in a hierarchy
Supported Data Types
See When to Use List Views for Categorical Data if you need to visualize hierarchical categorical data.
When to Use List Views for Categorical Data
Row charts can't be used to visualize data in categorical fields that have a hierarchical structure. For this type of data, use a list view.
Row charts aren't supported in Cohort Compare mode. In Cohort Compare mode, row charts are converted to list views.
Using Stacked Row Charts for Multivariate Visualizations
Simple row charts can't be used to visualize data from more than one field. To visualize categorical data from two fields, you can use a Stacked Row Chart.
Using Row Charts in the Cohort Browser
In a row chart, each row shows a single category value, along with the number of records - the "count" - in which that value appears in the selected field. Also shown is the percentage of total cohort records in which it appears - its "freq." or "frequency."
Below is a sample row chart showing the distribution of values in a field Salt added to food. Note that In the current cohort selection of 100,000 participants, 27,979 records contain the value "Sometimes", which represents 27.98% of the current cohort size.
Preparing Data for Visualization in Row Charts
When ingesting data using Data Model Loader, note that the following data types can be visualized in row charts, provided that category values are specified as such in the coding file used at ingestion:
String Categorical
String Categorical Sparse
String Categorical Multi-select
Integer Categorical
Integer Categorical Multi-select
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