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Report Services Document Analysis Guide - MicroStrategy

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Exploring Your Data with Visual Insight Analyses <strong>Report</strong> <strong>Services</strong> <strong>Document</strong> <strong>Analysis</strong> <strong>Guide</strong><br />

• Displaying the data in an interactive visualization, such as a Heat Map or<br />

Graph Matrix (for a full list of visualizations, see Visualizations in<br />

analyses, page 144)<br />

• Quickly switching between different visual representations of the data<br />

For instructions to view an analysis, see Running and viewing analyses,<br />

page 151, which also includes instructions for some of the tasks listed above.<br />

Visualizations in analyses<br />

A visualization is a visual representation of the data in a Visual Insight<br />

analysis, such as a grid or graph. Visualizations provide multiple ways to<br />

display and interact with the data from the analysis's dataset. Each<br />

visualization is displayed on a separate tab in the analysis. You can click the<br />

tab of a visualization to display it.<br />

The different types of visualizations available for analyses are:<br />

• Grid visualization: You can display data in an interactive grid, allowing<br />

users to pivot, sort, move, drill, filter, and perform additional<br />

manipulations on data displayed in the grid. (See Analyzing data in a<br />

Grid visualization, page 145 for an example.)<br />

• Graph visualization: You can display the data in a graphical format and<br />

choose between a variety of different graphs, such as an area graph, line<br />

graph, or pie chart. (See Analyzing data in a Graph visualization,<br />

page 146 for an example.)<br />

• Graph Matrix visualization: You can display the data in a chart<br />

containing one graph for every combination of the data that you specify,<br />

allowing users to examine the data for each combination individually.<br />

(See Analyzing data in a Graph Matrix visualization, page 146 for an<br />

example.)<br />

• Google Map visualization: You can display the data as geographical<br />

locations on a map, then change the color, size, and display of markers<br />

based on the value of a metric, to allow users to quickly grasp<br />

relationships between different locations. (See Analyzing data in a<br />

Google Map visualization, page 149 for an example.)<br />

• Heat Map visualization: You can display the data as a combination of<br />

colored rectangles. Each rectangle represents an attribute element, and is<br />

colored and sized according to the value of metrics in the visualization,<br />

allowing users to quickly grasp the state and impact of a large number of<br />

144 Visualizations in analyses © 2012 <strong>MicroStrategy</strong>, Inc.

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