Online workshop: Using Crime Data in R – how to work with it, visualise and map it!
| Dates: | 10 February 2021 - 12 February 2021 |
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| Times: | 10:00 - 15:00 |
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| What is it: | Workshop |
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| Organiser: | Cathie Marsh Institute for Social Research |
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| How much: | Free |
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This free three-day workshop, jointly organised by the UK Data Service, methods@manchester and the University of Leeds will introduce you to using crime data in the software package R. We provide an overview of the data available and lead you through several methods that you can use to access, analyse, and present crime data.
This workshop introduces key data about crime from several sources, including the UK Data Service, UK police force API and the ‘crimedata’ R package, and also gives some examples of how they have been used in research. The workshop combines lectures and practical sessions to ensure that participants gain hands-on experience of analysing secondary data using R.
During the workshop, participants will:
- learn about the UKDS collection of crime-related secondary data and how to access them
- learn how researchers have used crime data in their research
- gain practical experience of descriptive statistics and basic analyses of crime data using R
- visualise crime indicators and critically analyse them using R
- produce a map to display the spatial distribution of crime indicators using R
Speakers
Dr Julia Kasmire, UK Data Service, University of Manchester (Day 1)
Dr Sarah King-Hele, UK Data Service, University of Manchester (Day 1)
Dr Sam Langton, University of Leeds (Days 2 and 3)
Experience/knowledge required: The workshop is aimed at beginners, but not ABSOLUTE beginners. This means that participants should have basic experience of quantitative analysis using a statistics package and/or a basic knowledge of R. If you are uncertain whether you have enough experience, we will provide resources for you to work through in advance to make sure that you can follow along during the workshop.
More information and booking at https://www.ukdataservice.ac.uk/news-and-events/eventsitem/?id=5722
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