Box plots

Last updated: Apr 26, 2024

Box plots

A box plot chart shows the five statistics (minimum, first quartile, median, third quartile, and maximum). It is useful for displaying the distribution of a scale variable and pinpointing outliers.

Creating a simple box plot

In the Chart Type section, click the Box plot icon.
The canvas updates to display a box plot chart template.
Select one or more scale variables as the Columns variable.
Note: The statistic for a dot plot is Box plot. You cannot change this setting.
Click the Save visualization in the project control. Select Create a new asset or Append to existing asset. Provide a Visualization asset name, an optional description, and a chart name.
Click Apply to save the visualization to the project. The new visualization asset is now available on the Assets tab.

Options

Columns

Lists variables that are available for the chart's X-axis.

Click Add another column to add more columns.

Split by

Select a categorical variable that creates a table of charts, with a cell for each category in the Split by variable. Like grouping, split by variables essentially add more dimensions to your chart by displaying information for each variable category.

Category order

Select the order in which variable categories are sorted.

As read: Variable categories are presented as they appear in the data set.
Ascending: Sort variable categories in ascending order.
Descending: Sort variable categories in descending order.

Strength holder of IQR

The strength holder of the inter-quartile range (N*IQR). The N default value is 1.5.

Normalize data

When enabled, this setting transforms data into a normal distribution compares data from multiple data sets or multiple columns. This setting creates 100% stacking for counts and converts statistics to percents.

Transpose