Visual insights : a practical guide to making sense of data

著者

書誌事項

Visual insights : a practical guide to making sense of data

Katy Börner & David E. Polley

The MIT Press, c2014

  • : [pbk.]

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注記

Includes bibliographical references and index

Summary: "In 2010, Börner published Atlas of Science: Visualizing what We Know with us, and the work found an audience across a wide range of readers. Although Katy is busy working on the second Atlas volume, she has taken her info viz talents to the street via an Indiana University MOOC. This course applies advanced data mining and visualization techniques to communicate temporal, geospatial, topical, and network data of IVMOOC13 teaching and learning, provides instructions on how to collaborate with external clients and presents the best 2013 project results, closes with an outlook on MOOC trends and opportunities. This book is for this course. The work is the core of her information visualization course and is intended to serve as a stand-alone resource and how-to guide for those seeking to learn the tricks of information visualization. Part "how-to" book and part primer in data and information across the disciplines, Börner's work provides the perfect text for beginner mastery of the topic"-- Provided b

内容説明・目次

内容説明

A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data. The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to "when" (temporal data), "where" (geospatial data), "what" (topical data), and "with whom" (networks and trees); and to systems that drive research and development. Examples of projects undertaken for clients include an interactive visualization of the success of game player activity in World of Warcraft; a visualization of 311 number adoption that shows the diffusion of non-emergency calls in the United States; a return on investment study for two decades of HIV/AIDS research funding by NIAID; and a map showing the impact of the HiveNYC Learning Network. Visual Insights will be an essential resource on basic information visualization techniques for scholars in many fields, students, designers, or anyone who works with data.

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