Full Description
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.
Contents
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
