Data Visualization : A Practical Introduction

Healy, Kieran

ISBN 10: 0691181624 / ISBN 13: 9780691181622

Editore: Princeton University Press, 2018

Riguardo questo articolo

May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Codice articolo 32759674-5

Dati bibliografici

Titolo: Data Visualization : A Practical Introduction

Casa editrice: Princeton University Press

Data di pubblicazione: 2018

Legatura: Brossura

Condizione: good

Descrizione articolo

Riassunto:

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
  

L'autore:

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.