Scatter Plot

Learn to create and use scatter plots in the Cohort Browser.
An Apollo license is required to access the Cohort Browser. Contact DNAnexus Sales for more information.

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