Radar charts compare multiple quantitative variables and are useful for visualizing which
variables have similar values, or if outliers exist among the variables. Radar charts consists of a
sequence of spokes, with each spoke representing a single variable. Radar Charts are also useful for
determining which variables are scoring high or low within a data set.
Creating a simple radar chart
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In the Chart Type section, click the Radar
icon.
The canvas updates to display a radar chart template.
Select a Columns variable from the drop-down list.
Note: Click
Add another column to include more columns. At least three columns variables
must be defined.
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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Category
Select a categorical (nominal or ordinal) variable. If you select
None as the category values, all values are shown separately, and no summary
method is applied.
Summary
When a categorical variable is selected, the following summary statistics
are available.
Count
Total number of cases.
Sum
Sum of the values.
Mean
Arithmetic average; the sum divided by the number of cases.
Maximum
Largest (highest) value.
Minimum
Smallest (lowest) value.
Radar Layout
Determines the background image layout for the radar chart:
Circle
When selected, the radar chart is drawn over a circular layout.
Polygon
When selected, the radar chart is drawn over a polygonal layout.
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.