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Data and Statistics for Social Sciences: Home

Purpose of this guide

This guide is intended primarily for researchers and students studying Social Sciences at the University of Oxford. It provides information on where to find general and subject-specific data and statistics, how to manage data, and what tools are available for data analysis. The guide introduces resources available only to the Bodleian card holders as well as freely available to everyone.

Social Science Data in the Bodleian

Contact the Bodleian Social Science Library if you wish to ask a question or seek more help .


Mapping crime data in R workshops

The UK Data Service is holding two free workshops on mapping crime data in R on 7 and 8 June.

Crime data often contains spatial components. As a result, analyses of crime data can create patterns that are clearly linked to geography. Naturally, putting the data or analysis on a map makes a lot of sense.

The first workshop, Mapping crime data in R: An Introduction to GIS and spatial data, is on 7 June and will cover some fundamental theories and concepts surrounding GIS and spatial data.

The second workshop, Mapping crime data in R: Live code demonstration, is on 8 June and will be a live code demonstration using R to explore these concepts.

The aim of these workshops is to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations.
  • use R packages such as ggplot, sf and tmaps,
  • briefly explore open-source crime data using Surrey as an example,
  • introduce how to download, import and use spatial data in the form of shapefiles,
  • demonstrate how to join crime data to shapefiles,
  • introduce classification methods,
  • use census data to accurately map crime rate.

Event Level: Beginner

Prerequisites: These workshops are suitable for intermediate (or higher) users of R but there is need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R, how to read in data, how to write basic R functions and how to save scripts and output files. R and Rstudio must be already installed.

Target Audience: Researchers/anyone interested in crime and spatial data.

Subject and Data Librarian

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John Southall
Bodleian Social Science Library
Manor Road, Oxford, OX1 3UQ
+44 (0)1865 2-85936