Chapter 1 A soup to nuts project example
Chapter 2 Introduction to R and Rstudio
Chapter 3 Data types and structures
Chapter 4 Reading and writing Data
Chapter 5 Mise en place
Chapter 6 Collaboration
Chapter 7 R Markdown
Chapter 8 Testing your code
Chapter 9 Git
Chapter 10 Subsetting: Making big things small
Chapter 11 Exploratory data analysis
Chapter 12 Regular Expressions
Chapter 13 Reshaping data
Chapter 14 Graphing with ggplot2
Chapter 15 More graphing with ggplot2
Chapter 16 Hotspot maps
Chapter 17 Choropleth maps
Chapter 18 Interactive maps
Chapter 19 Webscraping with rvest
Chapter 20 Functions
Chapter 21 For Loops
Chapter 22 Scraping tables from PDFs
Chapter 23 More scraping tables from PDFs
Chapter 24 Geocoding
Biography
Jacob Kaplan is the Chief Data Scientist of the Research on Policing Reform and Accountability (RoPRA), a multi-disciplinary, multi-institutional team of social scientists studying the feasibility and efficacy of policing reform, with a focus on statistically rigorous research and practical applications. His current appointment is at the Princeton School of Public and International Affairs. He holds a PhD and a master’s degree in criminology from the University of Pennsylvania and a bachelor’s degree in criminal justice from California State University, Sacramento. He is the author of several R packages that make it easier to work with data, including fastDummies and asciiSetupReader. He is also the author of books on the two primary criminal justice data sets: the FBI’s Uniform Crime Reporting (UCR) Program Data, and the FBI’s National Incident Based Reporting System (NIBRS) data.
"While many introductory R books use heterogeneous examples, here, the author did a great job introducing the R programming language using examples from criminology in a homogenous way. This book also offers a valuable compendium of crime related datasets for those already familiar programming in R. Specially, for graduate students, researchers, and data scientists, that wish to conduct more complex analyses on these types of data."
- Enrique Garcia-Ceja, Tecnologico de Monterrey, Mexico, Technometrics, November 2023.
