Data Visualization: A Practical Introduction

Author:   Kieran Healy
Publisher:   Princeton University Press
ISBN:  

9780691181622


Pages:   296
Publication Date:   18 December 2018
Format:   Paperback
Availability:   In stock   Availability explained
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Data Visualization: A Practical Introduction


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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:  

9780691181622


ISBN 10:   0691181624
Pages:   296
Publication Date:   18 December 2018
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.
Language:   English

Table of Contents

Reviews

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 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 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 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 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 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 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 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 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 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 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 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 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 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


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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