Concepts → Visualization
About a 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:
- Table
- Chart
- Others
In the Analyzer for an Incorta Analyzer Table or Incorta Analyzer View, there is only the Table category.
Math for visualizations
From a mathematical and graphical perspective, a visualization represents labeled data or data series in one or more dimensions.
One dimension
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:
Two dimensions
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
- Pie
- Donut
- Sunburst
- Spider
- Area Range
- Combo Dual Axis
- Combo
- Bubble (requires 3 measures)
- Bubble Map
- Map
- Scatter
- Funnel
- Pyramid
- Tornado
- Organizational
- Waterfall
Three dimensions
With three dimensions, a visualization groups one or more aggregated or calculated values by one or more attributes.
- Pivot Table (Requires Row and Column)
- Column
- Stacked Column
- Percent Column
- Bar
- Stacked Bar
- Percent Bar
- Area
- Stacked Area
- Percent Area
- Line
- Stacked Line
- Percent Line
- Stacked Column and Line
- Pie Donut
- Combination
- Radial Bar
- Packed Bubble
- Line Time Series
- Time Series
- Dual X-Axis (Requires two grouping dimensions)
- Advanced Map
- Sankey (Requires Source and Target)
- Tag Cloud
- Treemap
For more information, refer to Guides → Visualize.