Scatter matrix charts
Scatter plot matrices are a good way to determine whether linear correlations exist
between multiple variables.
Creating a scatter matrix chart
- 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
- Columns
- Select at least two matrix variables. The variables must be numeric (but not date format).
- 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.
- Primary title
- The chart title.
- Subtitle
- The chart subtitle.
- Footnote
- The chart footnote.