Crime by the numbers : a criminologist's guide to R : Jacob Kaplan.

By:

Kaplan, Jacob (Criminologist) [author.]

Material type: Text

TextSeries: Chapman & Hall/CRC the R seriesPublisher: Boca Raton : CRC Press, [2023]Edition: First editionDescription: xix, 409p. : ill. 24cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781032244075
9781032245515

Subject(s):

Additional physical formats: Online version:: Crime by the numbersDDC classification:

364.0285 23/eng/20220528

LOC classification:

HV7415 .K37 2023

Summary: "This book introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. While it can apply to other social science research, it does focus on skills specifically for criminology such as spatial joins, mapping, and scraping data from PDFs. The goal of this book is that by the end, a person without any prior programming experience can take raw crime data (e.g. from a .rds file, an Excel file, a PDF, from a website), be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis (e.g. subset and aggregate the data)"-- Provided by publisher.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
General books	PAC UNIVERSITY General Stacks	Non-fiction	HV7415 .K37 2023 (Browse shelf(Opens below))	C.2	Available		27575
General books	PAC UNIVERSITY General Stacks	Non-fiction	HV7415 .K37 2023 (Browse shelf(Opens below))	C.1	Available		27574

Total holds: 0

Includes bibliographical references and index.

"This book introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. While it can apply to other social science research, it does focus on skills specifically for criminology such as spatial joins, mapping, and scraping data from PDFs. The goal of this book is that by the end, a person without any prior programming experience can take raw crime data (e.g. from a .rds file, an Excel file, a PDF, from a website), be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis (e.g. subset and aggregate the data)"-- Provided by publisher.