Concepts → Visualization
A visualization consists of configurable properties and related behaviors for displaying data in a specific form such as a single value, a table of columns and rows, a chart, a graph, a map, or a gauge.
In the Analyzer, a dashboard developer or schema developer must select a visualization.
For a dashboard developer, the selected visualization is for an insight on a dashboard tab. Besides displaying a table, chart, gauge, or number, the visualization type determines the types of user interactions available for the insight.
For a schema developer, the visualization choice dictates columns, calculations, and aggregations for a table in a physical schema or a view a business schema.
In the Analyzer for an insight, there are three categories for visualizations:
In the Analyzer for an Incorta Analyzer Table or Incorta View, there is only the Table category.
From a mathematical and graphical perspective, a visualization represents labeled data or data series in one or more dimensions.
With one dimension, a visualization displays a table of rows and columns or displays a calculated or aggregated value. Here are some examples of one dimension visualizations:
With two dimensions, a visualization groups one or more aggregated or calculated values by an attribute. Here are some examples of two dimensional visualizations:
- Aggregated Table
- Area Range
- Combo Dual Axis
- Dual Axis
- Bubble (requires 3 measures)
- Tag Cloud
With three dimensions, a visualization groups one or more aggregated or calculated values by one or more attributes.
- Pivot Table (Requires Row and Column)
- Stacked Column
- Percent Column
- Stacked Bar
- Percent Bar
- Stacked Area
- Percent Area
- Stacked Line
- Percent Line
- Pie Donut
- Radial Bar
- Packed Bubble
- Line Time Series
- Time Series
- Dual X-Axis (Requires two grouping dimensions)
- Advanced Map
- Sankey (Requires Source and Target)