Custom visuals can be configured from Formulate, and then shared with other users. Report-builders can then use those custom visuals to present data in Discover. Which specific custom visuals are available to you depends on the visuals that have been configured and shared from Formulate.
Using Custom Visuals
Where custom visuals have been configured for the data model that you're querying, and you belong to user role that has access to those custom visuals, you will see the Custom Visual menu in the Toolbox (visualization picker).
Right-click the Custom Visual menu (green arrow above) and select the required visual from the sub-menu options. Depending on the way the visual was configured, you may see a description of the custom visual when you hover your cursor over its icon.
Marketplace Custom Visuals
When a Custom Visual is built using Formulate, the user has the option to base the visual on a custom visual downloaded from the Marketplace. The visuals currently available for download are described below.
Diverging Stacked Bar Chart
The diverging stacked bar chart is used to display two or more member elements as segments in each bar, compared to a goal value. The segments representing values below the goal value are shown to the left of the goal line, and the segments representing the values above the goal value are shown to the right of the goal line.
Each segment in the bars represents a percentage of the total, with the total length of each bar being equal. It is a good visual to use when you are trying to emphasize the proportions above the goal value.
For an example Diverging Stacked Bar Chart, see above.
3D Scatter Plot
The 3D Scatter Plot is used to plot data points on three axes in the attempt to show the relationship between three measures.
Aster Plot
The aster plot is similar to a doughnut chart with weighted values. The length of each segment is determined by the score value for the corresponding element in the hierarchy placed in the Categories zone. The width of each segment is driven by the weight value. A second hierarchy can be added to drive the colors of the visual.
The Aster Plot is a good way to visualize data as a proportion of a whole, while seeing more detail and nuance than is offered by other segment charts.
As with other visuals, the drop zones will automatically present the zones that are supported for the selected custom visual. In this example, the selected visual (an Aster Plot), requires one measure in the Score zone, a second measure in the Weight zone, one hierarchy in the Categories zone, and a second hierarchy in the Color zone:
Heat Grid
A Heat Grid represents values by color, rather than text. To populate the grid with colors, a measure must be added to the Color zone.
In this example, the Net Profit measure was added to the Color zone; the grid displays a range of colors according to the range of values for the data points in the grid:
Measure Waterfall
The Measure Waterfall presents multiple measures as a waterfall, which is useful for comparing differences between measures.
This visual requires one measure in the Values zone, and multiple measures in the Additional Values zone. No hierarchy is required, but hierarchies can be added to the Trellis or Filters zones.
2D Density Plot
The 2D Density Plot is a 2D histogram that shows the relationship between measures at the exact position in the same category, at the same time with the data points, and 1D histogram of each measure.
Tabular Grid
Responsive table that adjusts the cell content to the cell size without cutting any of it.
Data Card
Single or multi-value data cards that display one or more data points in a clear and evident way, by grouping all the data points according to the chosen attributes.
Gantt Chart
The Gantt chart is a type of bar chart that illustrates a project schedule over a time axis.
Chord Diagrams
The Chord diagram is a graphical method of displaying relationships within a square matrix. Usually, the matrix shows a transfer from one state to another state.
Network Diagram
The Network Diagram shows the relationships between a group of entities, which is useful for visualizing networks/graphs typically when performing a network analysis.
In a Network Diagram, nodes are derived from attribute members, while edges are measured by the strength of the interconnecting measures. Edge thickness is determined by the measure's weight / value. Node sizes can be independently sized using another measure. Node colors and edge colors can also be set using the same or different attributes.
Note: Direction is not represented. The base network and chord charts use a pathfinder algorithm. However, customers can edit the logic for each of these aspects in the custom visualizations using their own algorithms.
