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
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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
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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
When enabled, the chart's X and Y axes are transposed.
Show the outlier
When enabled, outliers display on the chart.
Show extreme outlier style
When enabled, extreme outlier style displays on the chart.
Show label
When enabled, column labels display on the chart. Only scatter series data is supported.
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