• Title: Data + Design: A Simple Introduction to Preparing and Visualizing Information
• Author(s) Trinna Chiasson, Dyanna Gregory, et al.
• Publisher: Infoactive; eBook (Creative Commons Licensed)
• License(s): CC BY-NC-SA 4.0
• Hardcover/Paperback N/A
• eBook: HTML and PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it.

Visualizing Data is about visualization tools that provide deep insight into the structure of data. But the book is much more than just a compendium of useful tools. It conveys a strategy for data analysis that stresses the use of visualization to thoroughly study the structure of data and to check the validity of statistical models fitted to data.

The book demonstrates this by reanalyzing many data sets from the scientific literature, revealing missed effects and inappropriate models fittedto data.

This book explains important data concepts in simple language. Think of it as an in-depth data FAQ for graphic designers, content producers, and less-technical folks who want some extra help knowing where to begin, and what to watch out for when visualizing information.

In this book you will find innovative ideas to unlock the relationships in your own data and create killer visuals to help you transform your next presentation from good to great.

The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks.

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• Amazon

• Data Visualization
• Data Analysis and Data Mining
• Graphic User Interface (GUI) Programming
• Statistics, R Language and SAS Programming
• Probability, Stochastic Process, Queueing Theory, etc.

• Data + Design: A Simple Introduction to Preparing and Visualizing Information (M. J. Zaki, et al)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF
• The Original Source (GitHub)

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