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Data Visualization Controls

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Modified on Mon, 27 May 2013 06:23 PM Categorized as Data Controls, Design
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Data visualization (DV) controls are elements that present data from KPIs or datasets on the screen.

Note: Data controls that don't have data sources will ignore their Z order, and always appear to be “above” other controls in the designer. When you assign a data source, the control will honor its Z order property.

Charts

Dundas Dashboard Chart comes with several flexible chart types. Visit the Chart documentation for detailed information and walkthroughs, or click a specific type of chart below:

  • 100% Stacked Area — Displays multiple series of data as stacked areas sized by each metric value's percentage of the stack total. The total of each stack is always 100% so that the entire chart will be filled.
  • 100% Stacked Bar — Displays multiple series of data as stacked bars (or columns) sized by each metric value's percentage of the stack total. The total of each stack is always 100% so that the entire chart will be filled.
  • Area — Displays data trends as a filled area between zero and the metric value.
  • Bar — (or Column) allows the comparison of values relative to the others by displaying metric values as bars originating from zero. Bars may be vertical or horizontal.
  • Box Plot — Also known as a box-and-whisker diagram, used to summarize one or more data set distributions in a compact format.
  • Bubble — A variation of the Point Chart, where the points may be different sizes according to a second metric value.
  • Candlestick — A variation of the Stock Chart used to describe price movements over time. It requires four measures: high, low, open and close, and is most often used to plot fluctuations in securities and currencies.
  • Funnel — Used to compare the values of a metric as it proceeds through stages, with a second metric used to track each stage's progress: for example, the number of leads in each stage of a sales process, and the average length in time of each stage.
  • Line — Displays data trends as a line plotting each metric value.
  • Pie — Displays measure values as slices of a pie, sized by their percentage of the total.
  • Point — Also known as a scatter-plot, uses symbols to represent values.
  • Radar Area — A circular chart that plots data points as a filled area between zero and the metric value.
  • Radar Line — A circular chart that plots metric values as a line.
  • Radar Range — A circular chart that plots data points as a filled area between two metric values.
  • Radar Stacked Area — A circular chart that plots metric values as a filled area stacked on top of others by dimension value.
  • Range — Displays a range of data as a filled area between two metric values.
  • Range Bar — (or a simple Gantt chart) displays bars ranging between a start and end value, typically the start and end dates of activities.
  • Spline — Displays data trends as a smoothed line plotting each metric value.
  • Spline Area — Displays data trends as a filled area between zero and a smoothed line plotting each metric value.
  • Spline Range — Displays a range of data as a filled area between smoothed lines plotting two metrics.
  • Stacked Area — Displays a filled area for each series, where the metric values are stacked on top of other series by dimension value, and originate from zero.
  • Stacked Bar — Displays a bar (or column) for each dimension value, made up of the metrics of each series stacked on top of each other. Each bar originates from zero.
  • Stock — Describes price movements over time, using bars with ticks to represent a stock's open, close, high and low values.

Gauges

Dundas Dashboard supports several types of gauges. Click the gauge name for detailed information:

  • Bullet graph — Bullet graphs are a linear scale showing an actual value and a target.
  • Linear gauge — Linear gauges are characterized by linear scales which can be either horizontal or vertical.
  • Radial gauge — Radial gauges are characterized by having a pivot point, around which its pointers rotate. They also have one or more circular scales, which are either a complete 360-degree circle or an arc.
  • Thermometer gauge — Thermometers are specialized linear gauges with a specific visual appearance.

Other DV controls

For more information about these other data visualization controls, please click:

  • Data Grid — The data grid lets you display data from your KPI or dataset using a tabular view.
  • Data Label — A data-driven text label.
  • Display Indicator — Display indicators display metric values like physical displays such as digital LCDs.
  • Legend — Automatically provide a key to the colors used by your DVs.
  • Map — The map lets you encode your metric values into geographic maps or diagrams.
  • Small Multiples — Display multiple instances of child controls in a linear or grid arrangement.
  • Sparkline — A sparkline is a simple graphic that summarizes data trends in a small space.
  • State Indicator — State indicators show which of its pre-defined states a metric falls within.
  • Traffic Light — Traffic lights are three-state indicators that show which one of its three pre-defined states is active based on a metric.
  • Tree Map — In a tree map (or heat map), data is represented by nodes of varying sizes and colors according to metric values. Tree maps can display nested nodes to visualize hierarchical data.

Analytical (OLAP) controls

The following controls can be used in analytical dashboards:

  • Analytical Combo — A control combining the other analytical controls together in an single layout.
  • Analytical Grid — A data grid control that displays OLAP data and allows hierarchical member drill down.
  • Analytical Chart — Chart controls that display OLAP data and allow hierarchical member drill down.
  • Analytical Tree — Lists and makes available the schema elements from the virtual cube to drag onto an axis.
  • Axes — Allow users to determine which data is displayed by the analytical chart or grid.
  • Toolbar — Provides users with options for how data is displayed and custom functionality.
  • Report Manager — Works with other controls to allow data to be interacted with and displayed.
  • Report Selector — Allows users to select a predefined report from the virtual cube to display.
  • Pagers — Allow users to page through result sets that are larger than the current page size.
  • Legend — Automatically provide a key to the colors used by charts (located in the toolbox under General Controls)

Related topics


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