Learn to build and use histograms in the Cohort Browser.
An Apollo license is required to use the Cohort Browser. Contact DNAnexus Sales for more information.

How to Build a Histogram

A histogram can be built to visualize numerical fields. You can recognize numerical fields by the
label in the field list. The same fields can also be visualized using a Box Plot.
Supported Field Types
Numerical (Integer)
Numerical (Float)

Using a Histogram in the Cohort Browser

Below is an example of a histogram visualizing the data field Age:
Histogram: Age
Bins are auto-calculated based on the distribution of the dataset and the axis are always distributed linearly.

Histograms in Cohort Compare

In compare mode, histograms share an axis and overlay one another:

Notes on Data Preparation

The following Ingestion Data Types are supported in histograms:
  • Integer
  • Integer Sparse
  • Float
  • Float Sparse
  • Date
  • Date Sparse
  • Datetime
  • Datetime Sparse
While sparse serial types are supported as fields, the non-numeric values are not included as part of this chart type. Special values in the numerical dimension however will be counted and shown separately as a list view.
Last modified 11d ago