Overview

An accessible primer on how to create effective graphics from data 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 t

Full Product Details

Author:   Kieran Healy
Publisher:   Princeton University Press
Imprint:   Princeton University Press
ISBN:  

9780691181615

ISBN 10:   0691181616
Pages:   292
Publication Date:   18 December 2018
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Temporarily unavailable  
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.
Language:   English

Table of Contents

Reviews

oeInnovative and extraordinarily well-written. Jeremy Freese, Stanford University oeHealy (TM)s prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R. Neal Caren, University of North Carolina, Chapel Hill oeKieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights. Brandon Stewart, Princeton University oeHealy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this. Thomas J. Leeper, London School of Economics oeData Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. The book is broadly relevant, beautifully rendered, and engagingly written. It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods, statistics, and data visualization. It is packed full of clear-headed and sage insights. Becky Pettit, University of Texas at Austin oeHealy (TM)s fun and readable book is unusual in covering the ~why do (TM) as well as the ~how to (TM) of data visualization, demonstrating how dataviz is a key step in all stages of social science from theory construction to measurement to modeling and interpretation of analyses and giving readers the tools to integrate visualization into their own work. Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do oeFinally! A data visualization guide that is simultaneously practical and elegant. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. Data Visualization is brimming with insights into how quantitative analysts can use visualization as a tool for understanding and communication. A must-read for anyone who works with data. Elizabeth Bruch, University of Michigan

Data Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. The book is broadly relevant, beautifully rendered, and engagingly written. It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods, statistics, and data visualization. It is packed full of clear-headed and sage insights. --Becky Pettit, University of Texas at Austin Finally! A data visualization guide that is simultaneously practical and elegant. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. Data Visualization is brimming with insights into how quantitative analysts can use visualization as a tool for understanding and communication. A must-read for anyone who works with data. --Elizabeth Bruch, University of Michigan Innovative and extraordinarily well-written. --Jeremy Freese, Stanford University Healy's prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R. --Neal Caren, University of North Carolina, Chapel Hill Kieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights. --Brandon Stewart, Princeton University Healy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this. --Thomas J. Leeper, London School of Economics Healy's fun and readable book is unusual in covering the 'why do' as well as the 'how to' of data visualization, demonstrating how dataviz is a key step in all stages of social science--from theory construction to measurement to modeling and interpretation of analyses--and giving readers the tools to integrate visualization into their own work. --Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do

Data Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. The book is broadly relevant, beautifully rendered, and engagingly written. It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods, statistics, and data visualization. It is packed full of clear-headed and sage insights. --Becky Pettit, University of Texas at Austin Finally! A data visualization guide that is simultaneously practical and elegant. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. Data Visualization is brimming with insights into how quantitative analysts can use visualization as a tool for understanding and communication. A must-read for anyone who works with data. --Elizabeth Bruch, University of Michigan Kieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights. --Brandon Stewart, Princeton University Innovative and extraordinarily well-written. --Jeremy Freese, Stanford University Healy's prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R. --Neal Caren, University of North Carolina, Chapel Hill Healy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this. --Thomas J. Leeper, London School of Economics Healy's fun and readable book is unusual in covering the 'why do' as well as the 'how to' of data visualization, demonstrating how dataviz is a key step in all stages of social science--from theory construction to measurement to modeling and interpretation of analyses--and giving readers the tools to integrate visualization into their own work. --Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do

Innovative and extraordinarily well-written. --Jeremy Freese, Stanford University Healy's prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R. --Neal Caren, University of North Carolina, Chapel Hill Kieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights. --Brandon Stewart, Princeton University Healy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this. --Thomas J. Leeper, London School of Economics Healy's fun and readable book is unusual in covering the 'why do' as well as the 'how to' of data visualization, demonstrating how dataviz is a key step in all stages of social science--from theory construction to measurement to modeling and interpretation of analyses--and giving readers the tools to integrate visualization into their own work. --Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do

Innovative and extraordinarily well-written. --Jeremy Freese, Stanford University Healy's prose is clear and direct. I came away from this book with a much better understanding of both visualizations and R. --Neal Caren, University of North Carolina, Chapel Hill Kieran Healy has written a wonderful book that fills an important niche in an increasingly crowded landscape of materials about software in R. Data Visualization is clear, beautifully formatted, and full of careful insights. --Brandon Stewart, Princeton University Healy's fun and readable book is unusual in covering the 'why do' as well as the 'how to' of data visualization, demonstrating how dataviz is a key step in all stages of social science--from theory construction to measurement to modeling and interpretation of analyses--and giving readers the tools to integrate visualization into their own work. --Andrew Gelman, author of Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do Healy provides a unique introduction to the process of visualizing quantitative data, offering a remarkably coherent treatment that will appeal to novices and advanced analysts alike. There is no other book quite like this. --Thomas J. Leeper, London School of Economics

Author Information

Kieran Healy is associate professor of sociology at Duke University. He is the author of Last Best Gifts: Altruism and the Market for Human Blood and Organs.

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