A visualization is a visual representation of the data in a dashboard, such as a grid, line chart, or heat map. Visualizations provide a variety of ways for a user to display and interact with the data in the dashboard. For example, you can allow users to explore the relationships between attribute elements by creating a Network visualization, or create visually striking graphs that summarize key business indicators in a clear, easy-to-understand format. Each visualization can include data from multiple datasets at once. Each sheet or page in a dashboard can contain multiple visualizations.
You can quickly select and display a subset of your business data in a visualization. To do so, create and add a Grid visualization to your dashboard. Filter and drill on the data to display the data subset you are interested in, then change the visualization into the type of visualization to use to display the data.
You can add the following visualizations to a dashboard:
ESRI Map visualization: You can display your data as markers or areas on an interactive map using the Map visualization. For example, you can create a Map visualization that displays how customer households are clustered in different parts of the country using a density map, or display retail locations as a series of map markers that users can click to view additional information about stores in their area.
Google Map visualization: You can display your data as markers on a map using the Google Map visualization.
Graph visualization: You can display the data in a graphical format and choose between a variety of different graphs, such as an area graph, line graph, or pie chart.
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. You can also use a Grid visualization as a tool to understand your data and prepare it for displaying on other types of visualizations.
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.
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