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Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.
Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You’ll learn how to craft articulate and creative data visualizations with Tableau Desktop 8.1 and Tableau Public 8.1.
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Present comparisons of how much and how many
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Use blended data sources to create ratios and rates
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Create charts to depict proportions and percentages
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Visualize measures of mean, median, and mode
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Lean how to deal with variation and uncertainty
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Communicate multiple quantities in the same view
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Show how quantities and events change over time
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Use maps to communicate positional data
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Build dashboards to combine several visualizations
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| | Optical Switching NetworksOptical Switching Networks describes all the major switching paradigms developed for modern optical networks, discussing their operation, advantages, disadvantages and implementation. Following a review of the evolution of optical WDM networks, an overview of the future trends out. The latest developments in optical access, local, metropolitan, and... | | Sas/Graph 9.2 ReferenceThe changes and enhancements for SAS/GRAPH 9.2 are very extensive. Highlights include the following:
The new SAS/GRAPH statistical graphics suite provides a new set of procedures, a new language, and a graph editor specifically designed for creating and editing statistical graphics. All SAS/GRAPH procedures now support ODS styles... |
Location Management and Routing in Mobile Wireless NetworksThis book aims at presenting, in a canonical form, the work done by us in the field of routing in mobile wireless networks. Most of the material contained herein has previously been presented at international conferences or has been accepted for publication in journals.
Mobile wireless networks can be broadly classified into two distinct... | | | | Blind Image Deconvolution: Theory and ApplicationsBlind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing,... |
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