Dundas BI provides guidance and recommendations to help you select the most fitting visualization according to best practices.
This article explains how to set up what data is displayed and where in your visualization.
This article gives specific examples of how to configure the visualization tab of the Data Analysis Panel for various types of data visualizations.
A table visualization lets you display data from a metric set using a tabular view. A table is also known as a data grid or data table.
A chart lets you visualize one or more measures along a dimension or hierarchy, such as the sales amount compared with the sales target for each month.
A pie chart displays each value as part of a pie or donut representing its percentage of the total, and can display a sunburst made up of multiple levels or rings.
A waterfall chart displays the cumulative sum of a series of values.
Radar charts plot data points as symbols, lines or areas in a circular layout.
A legend automatically provides a key to the colors used by other data visualization controls such as charts and maps.
A data label is a data-driven text label which you can add to your dashboard, report, or scorecard in order to display a measure or hierarchy value.
A data image is an image control connected to data, which you can add to your dashboard, report, or scorecard. Use it to show a different image depending on data values.
A gauge is typically used to visualize single-valued metrics, such as the total revenue for the year-to-date. Available gauge types include linear and radial gauges.
A state indicator is a basic data visualization control that displays a different color and/or shape depending on the state of a measure.
You use maps to display geographic information in the form of shape, path, and symbol elements. Then you connect these elements to data so that their appearance will change based on data values.
A diagram is similar to a map visualization. You use it to display spatial information in the form of shape, path, and symbol elements.
A treemap is a visualization that can display a large amount of hierarchical data using nested rectangles of varying size and color.
The relationship diagram arranges items in your data based on the relationships between them in a freeform graph.
The Sankey diagram displays how quantities are distributed among items between two or more stages.
The tree diagram displays the hierarchical structure of a set of data.
A chord diagram displays interrelated data arranged around a circle, and the quantities between each pair of items.