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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) Checked out 30/10/2019 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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