Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python

This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Examples are drawn from public policy, public safety, education, political tweets, and public health, and code for all the visualizations is available from the book's website.

Format: Hardback
Length: 292 pages
Publication date: 07 April 2022
Publisher: Cambridge University Press

All social and policy researchers must synthesize data into a visual representation. Creating effective visualizations requires a blend of creativity and technical expertise. This book aims to impart the techniques and fundamentals needed to create a wide range of visualizations, enabling readers to effectively communicate data and analyses in a creative and impactful manner. The book meticulously explains and organizes visualizations for tables, time series, maps, text, and networks, guiding readers in selecting the appropriate plot for their specific data type and display. Examples are drawn from various domains, including public policy, public safety, education, political tweets, and public health. The presentation progresses step-by-step, beginning with the basics and covering programming languages R and Python. By learning these programming languages, readers will acquire coding skills while gaining an understanding of the advantages and limitations of each visualization. No prior knowledge of either Python or R is required, as all the code for the visualizations is readily available on the book's website.

Weight: 540g
Dimension: 235 x 156 x 20 (mm)
ISBN-13: 9781108494335
Edition number: New ed