A Criminologist's Guide to R

Crime by the Numbers.

This book introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end, a person without any prior programming experience can take raw crime data, be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis.

A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis. A Criminologist's Guide to R focuses on skills specifically for criminology such as spatial joins, mapping, and scraping data from PDFs, however any social scientist looking for an introduction to R for data analysis will find this useful.

Key Features:

• Introduction to RStudio including how to change user preference settings.
• Basic data exploration and cleaning – subsetting, loading data, regular expressions, aggregating data.
• Graphing with ggplot2.
• How to make maps (hotspot maps, choropleth maps, interactive maps).
• Webscraping and PDF scraping.
• Project management – how to prepare for a project, how to decide which projects to do, best ways to collaborate with people, how to store your code (using git), and how to test your code.

UK Delivery:

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• UK mainland orders typically arrive within 3-5 working days via Royal Mail 2nd Class.
• International estimated delivery times:
• Europe & Channel Islands: 7 to 10 working days
• USA: 7 to 15 working days
• Rest of the World: 9 to 21 working days

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