TY  - BOOK
AU  - Stacey,Mark
AU  - Salvatore,Joe
AU  - Jorgensen,Adam
TI  - Visual intelligence: Microsoft tools and techniques for visualizing data 
SN  - 1118439368
AV  - HF5548.4.M527 S73 2013eb
U1  - 006.3/12 23
PY  - 2013///
CY  - Indianapolis, Ind.
PB  - John Wiley & Sons
KW  - Microsoft Windows (Computer file)
KW  - Business intelligence
KW  - Computer programs
KW  - Information visualization
KW  - Computer graphics
KW  - COMPUTERS
KW  - Data Processing
KW  - bisacsh
KW  - fast
KW  - Computer literacy
KW  - Database design
KW  - local
KW  - Business intelligence / Computer programs
KW  - Electronic books
KW  - lcsh
N1  - pt. I. Introduction to data visualization -- pt. II. Microsoft's toolset for visualizing data -- pt. III. Visual analytics in practice; cse
N2  - Annotation; Go beyond design concepts and learn to build state-of-the-art visualizationsThe visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, and when to use each one. Data visualization tools unlock the stories within the data, enabling you to present it in a way that is useful for making business decisionsThis full-color guide introduces data visualization design concepts, then explains the various Microsoft tools used to store and display dataFeatures a detailed discussion of various classes of visualizations, their uses, and the appropriate tools for each Includes practical implementations of various visualizations and best practices for using themCovers out-of-the-box Microsoft tools, custom-developed illustrations and implementations, and code examplesVisual Intelligence: Microsoft Tools and Techniques for Visualizing Data arms you with best practices and the knowledge to choose and build dynamic data visualizations
UR  - http://dx.doi.org/10.1002/9781118987179
ER  -