Data Visualization: A Practical Introduction

Book Detail

Amazon Business : For business-only pricing, quantity discounts and FREE Shipping. Register a free business account Paperback: 296 pages Publisher: Princeton University Press; 1 edition (December 18, 2018) Language: English ISBN-10: 0691181624 ISBN-13: 978-0691181622 Product Dimensions: 8 x 1.1 x 9.9 inches Shipping Weight: 1.6 pounds (View shipping rates and policies)

Book Description

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 readerâ€™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 â€œsmall multipleâ€ 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 â€œtidyverseâ€ of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

PDF DOWNLOAD Data Visualization: A Practical Int