BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Visualization: A Practical Introduction

Data Visualization: A Practical Introduction

Data Visualization: A Practical Introduction
Stock photo: cover may vary

Data Visualization: A Practical Introduction Paperback - 2018

by Healy, Kieran

Add to wish list
  • Used
  • very good
  • first
Used - Very good

Description

Princeton University Press. 1. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Ask the seller a question Add to wish list
A$20.22
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Ships from BooksRun (Pennsylvania, United States)
The BIBLIO Guarantee

Details

  • Title Data Visualization: A Practical Introduction
  • Author Healy, Kieran
  • Binding Paperback
  • Edition 1
  • Condition Used - Very good
  • Pages 296
  • Volumes 1
  • Language ENG
  • Publisher Princeton University Press
  • Publication date 2018-12-18
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Maps
  • Bookseller's Inventory # 0691181624-11-1
  • ISBN 9780691181622 / 0691181624
  • Weight 1.6 lbs (0.73 kg)
  • Dimensions 9.9 x 8 x 1.1 in (25.15 x 20.32 x 2.79 cm)
  • Category Sociology
  • Library of Congress subjects Information visualization, R (Computer program language)
  • Library of Congress Catalogue Number 2018935810
  • Dewey Decimal Code 001.422
  • Quantity available 2

About BooksRun Pennsylvania, United States

Specialising in: Textbooks
Biblio member since 2016

BooksRun - best place to buy, sell or rent cheap textbooks

Terms of Sale:

30 days return guarantee. 10% restocking fee applies to discretionary returns

Browse books from BooksRun

Reader reviews for Data Visualization: A Practical Introduction

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

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

About the author

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.

Please wait a moment while we load the requested page.

tracking-