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Jacob Kaplan

A Criminologist's Guide to R: Crime by the Numbers

A Criminologist's Guide to R: Crime by the Numbers

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  • More about A Criminologist's Guide to R: Crime by the Numbers


A Criminologist's Guide to R: Crime by the Numbers is a book that teaches the programming language R and the skills needed to conduct quantitative research in criminology. It covers topics such as data exploration, cleaning, visualization, and analysis, and is suitable for social scientists who want to learn R for data analysis.

Format: Hardback
Length: 410 pages
Publication date: 18 August 2022
Publisher: Taylor & Francis Ltd


A comprehensive and in-depth guide, A Criminologist's Guide to R: Crime by the Numbers, delves into the realm of programming language R, equipping readers with the essential skills required to conduct quantitative research in the field of criminology. By the conclusion of this book, individuals with no prior programming experience will possess the capability to transform raw crime data into clean, visually appealing, and analyzable formats.

The guide begins by introducing the R programming language, providing a solid foundation for readers to build upon. It then proceeds to cover a range of essential skills tailored specifically for criminology, including spatial joins, mapping, and scraping data from PDFs. These skills are invaluable in analyzing and interpreting data related to crime patterns and trends.

While A Criminologist's Guide to R primarily focuses on criminology-specific techniques, it is also valuable for social scientists seeking an introduction to R for data analysis. The book offers a comprehensive and practical approach, covering topics such as basic data exploration and cleaning, graphing with ggplot2, creating maps (including hotspot maps, choropleth maps, and interactive maps), webscraping, and PDF scraping.

Moreover, the guide emphasizes project management, a crucial aspect of data analysis. It guides readers through the process of preparing for projects, selecting appropriate projects, collaborating effectively with others, storing code securely using Git, and testing code to ensure its accuracy and reliability.

With its clear and concise writing style, A Criminologist's Guide to R: Crime by the Numbers is accessible to both novice programmers and experienced researchers alike. It serves as a valuable resource for anyone interested in leveraging R for quantitative research in criminology and other social sciences. By mastering the skills outlined in this book, readers will be well-equipped to uncover valuable insights and make informed decisions based on data analysis.

Weight: 960g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032244075

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