Data Visualization: A Practical Introduction

This book provides a hands-on introduction to data visualization, covering topics such as creating effective graphs, plotting continuous and categorical variables, and working with statistical models. It is designed for students and researchers who want to learn how to visualize quantitative data and get the most out of their research findings.

Format: Hardback
Length: 292 pages
Publication date: 18 December 2018
Publisher: Princeton University Press

This comprehensive guide offers students and researchers a practical introduction to the principles and practices of data visualization. It delves into what makes certain graphs effective while others fall short, guiding readers on how to generate high-quality figures from data using robust and reproducible methods. Moreover, the book encourages an honest and effective approach to data visualization, helping readers develop a deeper understanding of the underlying data.

Data Visualization: A Comprehensive Guide builds the readers 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 progressing to more complex graphics. Topics covered 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 enhance their comprehensibility.

Effective graphics are crucial for effective communication of ideas and for gaining a deeper understanding of data. This book equips students and practitioners with the practical skills they need to visualize quantitative data and extract the most value from their research findings. By providing hands-on instruction using R and ggplot2, the book simplifies the process of working with R and promotes consistency in data analysis. Additionally, it includes a library of data sets, code, and functions that further enhance the learning experience. Whether you are a novice or an experienced data analyst, this guide will help you unlock the power of data visualization and make informed decisions based on your data.

Weight: 932g
Dimension: 262 x 210 x 23 (mm)
ISBN-13: 9780691181615