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  • Book Overview & Buying Mastering Data Visualization with Microsoft Visio Professional 2016
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Mastering Data Visualization with Microsoft Visio Professional 2016

Mastering Data Visualization with Microsoft Visio Professional 2016

By : John Marshall
4.2 (6)
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Mastering Data Visualization with Microsoft Visio Professional 2016

Mastering Data Visualization with Microsoft Visio Professional 2016

4.2 (6)
By: John Marshall

Overview of this book

Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we’ll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you’ll find out how to deploy custom stencils, templates, and code.
Table of Contents (13 chapters)
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12
Index

Chapter 5. Using the Pivot Diagram Add-On

Most Microsoft Excel users are familiar with Pivot Tables and Pivot Charts. These features provide the ability to group and aggregate data numerically and visually. Visio provides a similar ability with the Pivot Diagram add-on, through which data can be grouped and aggregated with connected shapes. The shapes can then be enhanced with Data Graphics to provide a rich representation of the information in them.

The Pivot Diagram is an add-on, so there is no programmable interface for it, but it does provide a nice way of producing a breakdown diagram. It shares some features with the Link Data feature and can optionally be mashed together with it, thus turning it into a semi-refreshable information dashboard.

In this chapter, we shall cover the following topics:

  • Learning how to use the Pivot Diagram add-on
  • Configuring the diagrams
  • Understanding how to overlay data using Link Data
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