Scatter plot matrices are a good way to determine whether linear correlations exist
between multiple variables.
Creating a scatter matrix chart
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In the Chart Type section, click the Scatter
matrix icon.
The canvas updates to display a scatter matrix chart template.
Select at least two scale Columns variables.
Note: Click Add another column to include more column variables.
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.
Each selected variable is plotted against every other variable to create a matrix of individual
scatter plots.
Options
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Columns
Select at least two matrix variables. The variables must be numeric (but not
date format).
Click Add another column to add more columns.
Color map
Lists available color map variables. These variables use color progression,
based on the range of values in the specified column, to represent themselves in the plot points.
Color maps are also known as choropleth maps.
Correlation
When enabled, linear correlation information (Strong, Medium, Weak) is shown for the selected
variables.
Show kde curve
When enabled, the kernel density estimate curve is shown on the chart.
Show histogram
When enabled, histogram charts display for the selected column variables.
Gradient bubble
The toggle control enables and disables the display of color gradients and
3D effects in the chart bubbles. The setting is not available when a Color
map variable is selected.
Minimum bubble size
Sets the minimum bubble size. Enter a value the range 5 - 20.
Maximum bubble size
Sets the maximum bubble size. Enter a value in the range 20 - 80.
Show label
When enabled, column labels display on the chart. Only scatter series data is supported.
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