Books
A Criminologist’s Guide to R: Crime by the Numbers. Chapman & Hall/CRC The R Series
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:
Online version available at: https://crimebythenumbers.com/
Print version available to purchase: https://www.routledge.com/A-Criminologists-Guide-to-R-Crime-by-the-Numbers/Kaplan/p/book/9781032244075
Uniform Crime Reporting (UCR) Program Data: A Practitioner’s Guide
This book provides a guide to UCR data for people who want to use it for research or reporting. It covers basic details such as how many years of data are available and which variables are included,as well as goes into the reliability of the data and how to avoid common pitfalls when using the data. It tries to explain to readers both how to use the data, and how to use it well.
Available at https://ucrbook.com/
National Incident-Based Reporting System (NIBRS) Data: A Practitioner’s Guide
This book provides a guide to NIBRS data for people who want to use it for research or reporting. It covers basic details such as how many years of data are available and which variables are included, as well as goes into the reliability of the data and how to avoid common pitfalls when using the data. It tries to explain to readers both how to use the data, and how to use it well.
Available at: https://nibrsbook.com/
A Criminologist’s Guide to R: Crime by the Numbers. Chapman & Hall/CRC The R Series
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.
Online version available at: https://crimebythenumbers.com/
Print version available to purchase: https://www.routledge.com/A-Criminologists-Guide-to-R-Crime-by-the-Numbers/Kaplan/p/book/9781032244075
Uniform Crime Reporting (UCR) Program Data: A Practitioner’s Guide
This book provides a guide to UCR data for people who want to use it for research or reporting. It covers basic details such as how many years of data are available and which variables are included,as well as goes into the reliability of the data and how to avoid common pitfalls when using the data. It tries to explain to readers both how to use the data, and how to use it well.
Available at https://ucrbook.com/
National Incident-Based Reporting System (NIBRS) Data: A Practitioner’s Guide
This book provides a guide to NIBRS data for people who want to use it for research or reporting. It covers basic details such as how many years of data are available and which variables are included, as well as goes into the reliability of the data and how to avoid common pitfalls when using the data. It tries to explain to readers both how to use the data, and how to use it well.
Available at: https://nibrsbook.com/
