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Analyzing data using visualizations in a dashboard

Dashboards display business data using a variety of visually striking, interactive data representations, called visualizations. You can use visualizations to form a picture of business trends at a glance, explore relationships between data, and quickly identify areas of improvement.

In the image below, data in a dashboard is displayed using a Grid visualization, which contains profit data for each Call Center in a Region. Small profit values are displayed in red, mid-range profit values are displayed in orange, and large profit values are displayed in yellow. You can sort and pivot data in the grid, drill down into the data, filter which regional data is included in the grid, and so on.

Example of a Grid visualization

To view dashboards, you must have:

  • Web Analyst privileges

  • The Web Edit Dashboard and Web Run Dashboard privileges

Depending on the type of dashboard that you are viewing, different visualizations may be available to analyze your data. For example, if your dashboard contains features such as the File and View menus, the dashboard may also contain data displayed in an ESRI Map or Google Map visualization. The table below provides an example image of the types of dashboards available in Web, as well as details to analyze data in each type of dashboard.

Dashboard Example Dashboard Features Steps to Analyze Data
Example of a dashboard
File and View menus
Editor and Properties panels
Visualization Gallery containing a list of visualization types to use to display your data
Sheet tabs displayed at the bottom of the dashboard
See Analyzing data in a visualization.
Example of a dashboard created using Flash
Icon toolbars
Worksheet tabs located at the top of the interface
See Analyzing data in a visualization for dashboards created using Flash.

Analyzing data in a visualization

The following visualizations can be used to analyze data in dashboards:

ESRI Map visualization: You can display your data using image or bubble markers, colored areas, or a density map.
Google Map visualization: You can display your data using image markers, bubble markers, or a density map.
Graph visualization: You can display the data in a graphical format and examine your data using a variety of different graph types, such as area graphs, line graphs, or pie charts.
Grid visualization: You can display data in an interactive grid, allowing users to pivot, sort, move, drill, filter, and perform additional manipulations on data displayed in the grid.
Heat Map visualization: You can display the data as a combination of colored rectangles. Each rectangle represents an attribute element, and is colored and sized according to the value of metrics in the visualization, allowing users to quickly grasp the state and impact of a large number of variables at one time.
Network visualization: You can display the data as a network of nodes, with lines between the nodes representing relationships between attribute elements.

Analyzing data in a visualization for dashboards created using Flash

The following visualizations can be used to analyze data in dashboards created using Flash:

Density Map visualization: You can display your data as areas on a map. The areas are automatically displayed in different colors based on the population density of locations of interest in the visualization.
Graph visualization: You can display the data in a graphical format and examine your data using a variety of different graph types, such as area graphs, line graphs, or pie charts.
Grid visualization: You can display data in an interactive grid, allowing users to pivot, sort, move, drill, filter, and perform additional manipulations on data displayed in the grid.
Heat Map visualization: You can display the data as a combination of colored rectangles. Each rectangle represents an attribute element, and is colored and sized according to the value of metrics in the visualization, allowing users to quickly grasp the state and impact of a large number of variables at one time.
Image Layout visualization: You can display the data as an image overlaid with colored areas or bubble markers. For example, an Image Layout visualization might display a map of the United States, with a bubble marker displayed over each state. A designer can define the visualization so that states with a high number of stores are displayed using large bubble markers, and states with a low number of stores are displayed using small bubble markers.
Map visualization: You can display the data as image or bubble markers on a map, then select color, size, and other display options to visualize metric data. The Map visualization allows users to quickly grasp relationships between different geographic locations.
Map with Areas visualization: You can display the data as areas on a map, which are color-coded based on the value of a metric. The Map with Areas visualization allows users to view metric data across multiple geographic regions and compare them at a glance.
Network visualization: You can display the data as a network of nodes, with lines between the nodes representing relationships between attribute elements.

Related topics

About dashboards
Running and viewing a dashboard