Scatter Plot

Learn to create and use scatter plots in the Cohort Browser.

How to Build a Scatter Plot

A scatter plot can be built when combining two numerical fields.
Dimension 1
Dimension 2
Numerical (Integer) or Numerical (float)
Numerical (Integer) or Numerical (float)
Numerical fields used as first dimension and second dimension are used respectively to render x and y axis of the scatter plot.

Using Scatter Plot in the Cohort Browser

Below is an example of a scatter plot combining Coffee Intake and Average Weekly Red Wine Intake. Hovering over specific data points provides precise reading of the chart.
Scatter Plot: Coffee Intake x Average Weekly Red Wine Intake
Similar to box plots and grouped box plots, non-numeric values for both numerical fields, if any, are counted and displayed separately as a list view.
Display of non-numeric values in Scatter Plot
Similar to stacked row charts, scatter plots allow swapping x / y axis by re-arranging priority order of the two numerical fields. Below is an example using the same fields as above, using a different axis ordering:
Scatter Plot: Average Weekly Red Wind Intake x Coffee Intake
Scatter plots can display a maximum of 30,000 data points. Keep this in mind when using a scatter plot to, for example, visualize data on a cohort that contains more than 30,000 subjects.
Scatter plots are not supported in Cohort Compare.

Notes on Data Preparation

The following Ingestion Data Types are supported in scatter plots:
  • Integer
  • Integer Sparse
  • Float
  • Float Sparse