Introduction to Data Analysis in R - Training (In-person)
Introduction to Data Analysis in R - Training (In-person)
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About this event
This workshop follows on from Intermediate R. It will introduce you to how to perform useful data analysis and visualisation tasks in R. It will focus on “modern R”, specifically the tidyverse collection of packages that are designed for data science. Data analysis is a huge topic, and we couldn’t possibly cover it all in one workshop. Instead, we aim to give you an introduction to some of the most useful tools and to demonstrate some of the most common problems that surface. Topics covered in this workshop include tibbles and filters, reading from a file, tidy data, analysing data and plotting data.
Please look at our Code of Conduct which we follow at all virtual and in-person events.
Advanced requirements/set up:
Please bring along your own laptop. Note that you must have successfully installed R and RStudio onto your computer and verified it is working before attending this workshop, as we will be unable to provide installation support. Full instructions on how to install R and RStudio are here.
We are running an in-person and online JGI drop-in installation session on Monday 3rd June from 11:15-12:30 - if you require any help in installing any software please attend this session.
Audience Level:
This workshop assumes you have knowledge of R equivalent to that gained from the Beginning R and Intermediate R workshops.
Learning Outcomes:
- What is tidy data? How can you load, clean and tidy data so it is ready for analysis?
- How can you analyse tidy data?
- How can you plot / graph tidy data?
Instructors
Dr Léo Gorman, Data Scientist, Jean Golding Institute
Dr Will Chapman, Data Scientist, Jean Golding Institute

Left to right: Léo Gorman, Will Chapman
Dr Léo Gorman (he/him)
Léo is a Data Scientist at the JGI. He is interested in developing sustainable software for data management and analysis. He also has a keen interest in Bayesian analysis methods and multi-level modelling. Léo has experience applying data science in the field of international development. In collaboration with the International Livestock Research Institute, he has developed software and analytical procedures to help researchers better understand the issues facing smallholder farmers in Lower- and Middle-Income Countries. With a background in physics and international development, he joined the Jean Golding Institute in October 2023, after finishing his PhD at the Alan Turing Institute and the University of Bristol.
Dr Will Chapman (he/him)
Will is a Data Scientist at the JGI. His interests are in applying machine learning to medical datasets and stochastic modelling. He has worked on computer vision pipelines to support clinicians in the early detection of rare types of stroke, collaborating with NHS health trusts to ensure patient privacy is safeguarded. He has a PhD in Experimental Psychology and joined the Jean Golding Institute in 2023.
Bristol Data Week 2024
This event is part of Bristol Data Week 2024, organised by the Jean Golding Institute. Running from Monday 3rd June – Friday 7th June 2024, this will be our 7th annual Data Week; an interactive programme of speakers, training and workshops open to all and completely free of charge.
Keep up to date with sessions happening throughout Bristol Data Week on the Jean Golding Institute website follow us on Twitter @JGIBristol and use #BristolDataWeek.
Location
Fry Building (Room: LG21) School of Mathematics, Woodland Rd, Bristol BS8 1UG