Criminologist's Guide to R

<p><i>A Criminologist's Guide to R: Crime by the Numbers</i> 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. <i>A Criminologist's Guide to R</i> 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.</p><p>Key Features:</p><ul> <li>Introduction to RStudio including how to change user preference settings.</li> <li>Basic data exploration and cleaning – subsetting loading data regular expressions aggregating data.</li> <li>Graphing with ggplot2.</li> <li>How to make maps (hotspot maps choropleth maps interactive maps).</li> <li>Webscraping and PDF scraping.</li> <li>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.</li> </ul>