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

ISBN-13: 9781032244075 / Angielski / Twarda / 2022 / 434 str.

Jacob Kaplan

Opis

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. 

Spis treści

 1 A soup to nuts project example 2 Introduction to R and Rstudio  3 Data types and structures  4 Reading and writing Data  5 Mise en place  6 Collaboration  7 R Markdown  8 Testing your code  9 Git  10 Subsetting: Making big things small  11 Exploratory data analysis  12 Regular Expressions  13 Reshaping data  14 Graphing with ggplot2  15 More graphing with ggplot2  16 Hotspot maps  17 Choropleth maps  18 Interactive maps  19 Webscraping with rvest  20 Functions  21 For Loops  22 Scraping tables from PDFs  23 More scraping tables from PDFs  24 Geocoding

O autorze

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.