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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

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A Criminologist's Guide to R - Crime by the Numbers (Hardcover) Loot Price: R2,439
Discovery Miles 24 390
A Criminologist's Guide to R - Crime by the Numbers (Hardcover): Jacob Kaplan

A Criminologist's Guide to R - Crime by the Numbers (Hardcover)

Jacob Kaplan

Series: Chapman & Hall/CRC The R Series

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Loot Price R2,439 Discovery Miles 24 390 | Repayment Terms: R229 pm x 12*

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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.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Chapman & Hall/CRC The R Series
Release date: December 2022
First published: 2023
Authors: Jacob Kaplan
Dimensions: 234 x 156 x 27mm (L x W x T)
Format: Hardcover
Pages: 410
ISBN-13: 978-1-03-224407-5
Categories: Books > Social sciences > Sociology, social studies > Crime & criminology > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 1-03-224407-0
Barcode: 9781032244075

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