Data Visualization: A Practical Introduction

Author:   Kieran Healy
Publisher:   Princeton University Press
ISBN:  

9780691181615


Pages:   296
Publication Date:   18 December 2018
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $145.90 Quantity:  
Add to Cart

Share |

Data Visualization: A Practical Introduction


Add your own review!

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 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. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective small multiple plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the tidyverse of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

Full Product Details

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

9780691181615


ISBN 10:   0691181616
Pages:   296
Publication Date:   18 December 2018
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
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.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Spring Reading Guide

 

Spring Reading Guide catalogue for book recommendations

Shopping Cart
Your cart is empty
Shopping cart
Mailing List