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Data visualization : a practical introduction / Kieran Healy.

By: Healy, Kieran, 1973- [author.].
Material type: materialTypeLabelBookPublisher: Princeton, NJ : Princeton University Press, 2018Publisher: ©2019Description: xviii, 272 pages : illustrations (some color), charts ; 26 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9780691181622 (pbk.); 9780691181615 (hardcover).Subject(s): Information visualization | R (Computer program language) | Visual analyticsDDC classification: 001.4226 HEA
Contents:
Look at data -- Get started -- Make a plot -- Show the right numbers -- Graph tables, add labels, make notes -- Work with models -- Draw maps -- Refine your plots.
Summary: "This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language ...."--Page 4 of cover.
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Item type Current location Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore
On Display
001.4226 HEA 013182 (Browse shelf) Available 013182

Includes bibliographical references (pages [261]-266) and index.

Look at data -- Get started -- Make a plot -- Show the right numbers -- Graph tables, add labels, make notes -- Work with models -- Draw maps -- Refine your plots.

"This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language ...."--Page 4 of cover.

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