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
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.
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.
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.
You can display the data as a network of nodes, with lines between
the nodes representing relationships between attribute elements.
For steps to create a specific type of visualization,
see the appropriate topic below.