Title: Data Visualization Pdf A Practical Introduction
Author: Kieran Healy
Published Date: 2018-12-18
Page: 296
“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“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 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“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 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“Innovative and extraordinarily well-written.”―Jeremy Freese, Stanford University 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.
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
Perfect introduction to Data Visualization This book is the first I've seen (ranging from the Edward Tufte gospels to O'Reilly handbooks) to strike a solid balance between both the theory and practice of data visualization. While the practical examples and code are for use with R and GGPlot (preferred platforms across a wide swath of the scientific community anyways), the principles you'll learn, both about handling data and about the "visual display of quantitative information" will obtain in any setting and data visualization platform.Beautiful, well written, and comprehensive in a way that's very unusual for technical books The world of data visualization has always been a bit bifurcated; you could look at wonderful pretty pictures of graphs and learn theory, or you could learn statistical software packages, but connecting the two was left as an exercise for the oft-confused reader. This book is beautiful, and full of exceptionally clear and practically useful graphs, but it also walks through all the steps of getting up and running with visual scientific communication, from installing R through downloading data sets through plain-text manuscript generation. Every element of this book is an incredibly important component of what beginning researchers need to learn to communicate scientific ideas, and having them rolled into a single attractive and carefully composed package is a delight and fairly revelatory. I want -- but realize I will not get -- all technical books to find as elegant a balance as this one does.Excellent guide for beginners and experts alike In the preface to the Data Visualization: A Practical Introduction author Kieran Healy writes:My main goal is to introduce you to both the ideas and the methods of data visualization in a sensible, comprehensible, reproducible way.Well, mission accomplished. The book is at once enormously readable, and sufficiently technically detailed as to make it easy to implement the principles introduced.The book itself is also beautifully designed. The use of figures and margin notes give you a sense of being guided through the ideas rather than just being told what they are. I've had lots of fun going back to some of my own visualizations made with R and ggplot2 and improving them based on what I learned here.I absolutely recommend this to beginners and experts alike. Healy gives you everything you'd need to know if you're starting from scratch, but in such a way as to not slow things down for the more experienced reader. For that reason, it would also make a great book for a course on applied use of R.
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