Voronoi diagram widgets
In this widget, you can see the events containing the columns used as variables, portrayed as a tessellation of polygons whose proportions depend on the number of events represented. These polygons are subdivided into smaller polygons and constitute a hierarchical structure with as many levels as those into which the data is divided (there is a legend above the chart explaining that hierarchy).
These diagrams are dynamic, allowing you to double click on a cell to drill down to view the contents of each component as needed. These are useful when you want to get a sense of the proportional breakdown of the whole into its components and sub-components.
This is the source query used to generate the above widget:
What data do I need for this widget?
To create a Voronoi widget, the source query must group events and it should group by at least two non-time attributes—these are what create the diagram's levels of data. The query must also contain at least one aggregated value (a count, average, maximum, mean, etc.). You will be able to choose from the aggregated values in the query to use as the metric that will determine cell size in the diagram.
The widget settings are contained in the Data and Visual tabs. The settings in the Data tab are described in the Create a widget article.
These are the visual settings for the Voronoi chart widget:
These are the fields that make up the hierarchy represented in the diagram. These will be the grouping attributes in the query.
The order of the fields is important. The first field being the highest grouping-level, and successive fields creating the lower levels respectively. Click and drag to reorder the fields in this box.
|Weight||This is the field (metric) used to calculate scale the relative size of each cell. You can choose from among the aggregated fields in the query.|
|Chart styles||Layout||This setting determines the overall style that will be used for the display of the diagram. Choose from Relaxed (default), Ordered, and Squarified.|
This setting controls how the hierarchical levels are displayed. The default, Hierarchical, displays levels as semi-transparent to show their contents. This is useful when you want to more clearly appreciate the distribution of the highest-level groups in the diagram. However, in order to see tooltips that show the details for the lower levels, you'll need to double click to drill down in a group. Hit the ESC key or use CTRL and the mouse wheel to restore the default view.
Flattened fits all levels into a plane using size and position to denote a group's location within the hierarchy. This allows you to mouse-over the diagram and see the details for each group and level in tooltips without needing to drill-down in any group.
|Cell labeling||This field appears only when Flattened is selected as the Levels setting. The two options, Stab and Floating, offer different ways to arrange a flattened diagram.|
|Shape||This field appears only when Relaxed is selected as the Layout setting. The options that offer different ways of drawing the diagram's cells.|
|Borders||Border radius||This defines the radius of the element's corners in pixels. The default is .15. Increase this value to make the corners of the cells more rounded.|
|External gap||Regulates the space between the cells in the diagram measured in pixels. Increase this value to create more separation between cells in the diagram.|
Regulates the space between the border of a cell and its contents.
|Colors||Start color and End color||Together, these define the color spectrum that is used to shade the cells in the diagram.|
|Label dark color||The color of the font used when the cell background color is light.|
|Label light color||The color of the font used when the cell background color is dark.|
|Font||Weight||Sets the font weight used for displaying the KPI. Choose from Normal, Thin, Extra Light, Light, Medium, Semi Bold, Bold, Extra Bold and Black.|
|Style||The font style. Choose from Normal, Italic and Initial.|
Tips for using a Voronoi widget
See the Voronoi treemap article for tips on using and customizing your Voronoi diagram.