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Box Plot
How to build and use Box Plots.

How to Build a Box Plot

A Box Plot 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 Histogram.
Supported Field Types
Numerical (Integer)
Numerical (Float)

Using Box Plot in the Cohort Browser

Box Plots provides quick statistics on the distribution of a numerical field for the current cohort selection. Hovering over the box plot displays a quick summary of:
    Total number of data points covered by current box plot
    Minimum value
    First quartile
    Median value
    Third quartile
    Maximum value
The box plot does NOT account for or display outliers. All non-null values are used for the display.
In the below example field: Coffee Intake, the box plot covers a total 92,401 patients, among which the maximum value of coffee intake being 42 cups per day.
​
Example Box Plot: Coffee Intake
Some fields have non-numeric values. These special values are counted and displayed separately as a list view. In the below example, there are 89 patients who have value "prefer not to answer" for this field which is 0.09% of the total cohort population (100,000 patients).
View non-numeric values in Box Plots. The total cohort size is 100,000 patients.

Box Plot in Cohort Compare

In compare mode, a color-coded box plot is drawn for each cohort in current session. Hover over each box plot to see summary stats for the cohort represented.
Box plot: "Coffee Intake" in cohort compare mode

Notes on Data Preparation

​Ingestion Data Types supported as box plot:
    Integer
    Integer Sparse
    Float
    Float 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.
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Contents
How to Build a Box Plot
Using Box Plot in the Cohort Browser
Box Plot in Cohort Compare
Notes on Data Preparation