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by Adam Jorgensen, Joe Salvatore, Mark Stacey
Visual Intelligence: Microsoft Tools and Techniques for Visualizing Data
Cover
Introduction
Introduction
Overview of the Book and Technology
How This Book Is Organized
Who Should Read This Book
Industry and Technology Trends
Tools You Need
What's on the Website
Part I: Introduction to Data Visualization
Chapter 1: Fundamentals of Visualization
Data Visualization versus Artistic Visualization
The Place of Infographics
Using 3D Effectively
Summary
Chapter 2: Designing a Visualization
Goals of Visualization
Human Perceptual Abilities
Strategic, Tactical, and Operational Views
Glance and Go versus Data Exploration
Using Color in Visualizations
Use of Perspective and Shape
Summary
Part II: Microsoft's Toolset for Visualizing Data
Chapter 3: The Microsoft Toolset
A Brief History
Database Tools
The Place of Each Front-End Tool
Installing the Sample Databases
Summary
Chapter 4: Building Data Sets to Support Visualization
What Data Sets Are
Common Data Set Elements
Types of Data Sets and Sources
Creating Data Sets for Visualization
Getting Started
Your First Data Set
Summary
Chapter 5: Excel and PowerPivot
What are Excel and PowerPivot?
Creating Your First PowerPivot Model
What Does Excel Do for Me?
Summary
Chapter 6: Power View
What Is Power View?
Creating a Power View Report
Enhancing Data Models for Power View
Sharing Power View Reports
Installing the Power View Samples
Summary
Chapter 7: PerformancePoint
Tabular versus Multidimensional Sources
Requirements for Running PerformancePoint
Authentication Issues when Using Secure Store Service
KPIs, Scorecards, Filters, Reports, and Dashboards
Combining Visualizations in PerformancePoint
Creating Web Part Pages in SharePoint
Installing the PerformancePoint Samples
Summary
Chapter 8: Reporting Services
Native versus Integrated Mode
Shared and Embedded Data Sources
Authentication: A Better Solution
Expressions in Reporting Services
Business Intelligence Development Studio and Visual Studio versus Report Builder
Installing the Reporting Services Samples
Summary
Chapter 9: Custom Code
Silverlight, WPF, XAML, and HTML5
The Future of Silverlight
Accessing Data from HTML5
Installing the HTML5 samples
A Web Service Sample in C#
Summary
Part III: Visual Analytics in Practice
Chapter 10: Scorecards and Indicators
A Quick Understanding: Glance and Go
Tool Choices, with Examples
Implementation Examples
Summary
Chapter 11: Timelines
Types of Temporal Analysis Visualization
Tool Choices, with Examples
Implementation Examples
Summary
Chapter 12: Comparison Visuals
Overview of Point-in-Time Comparisons
Explaining Perspective and Perceiving Comparisons
Tool Choices, with Examples
Implementation Examples
Summary
Chapter 13: Slice and Dice: Ad Hoc Analytics
Explanation of Terms
Tool Choices with Examples
Implementation Examples
Summary
Chapter 14: Relationship Analysis
Visualizing Relationships: Nodes, Trees, and Leaves
Tool Choices
Implementation Examples
Summary
Chapter 15: Embedded Visualizations
Tabular Data: Adding Visual Acuity
Tool Choices with Examples
Implementation Examples
Summary
Chapter 16: Other Visualizations
Traditional Infographics
Periodic Tables
Swim Lanes
Transportation Maps
Mind Maps
Venn Diagram
CAD Drawings
3D Modeling
Funnels
Flow Diagrams
Geographic Information System Maps
Heatmaps
Summary
Appendix A: Choosing a Microsoft Tool
Strengths and Weaknesses of Each Tool
Reporting Services
Excel/Excel Services
Power View
HTML5
Matching a Visualization to a Tool
Appendix B: DAX Function Reference
About the Authors
About the Contributor
About the Technical Editors
Credits
Acknowledgments
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