I'm Nicola Rennie, a data visualisation specialist with a background in statistics and data science. I'm currently a Lecturer in Health Data Science based within the Centre for Health Informatics, Computing, and Statistics at Lancaster Medical School. I'm interested in understanding how to effectively communicate complex quantitative ideas in an accessible way, as well as how we do so using open source tools. I'm a committee member and secretary of the Royal Statistical Society (RSS) Teaching Statistics Section Group, and am also one of the RSS's 2024-2025 William Guy Lecturers who has recorded and delivered talks aimed at 11-16 year olds on the topic of using data and statistics to shape decision making in medicine and healthcare.
I co-authored the Royal Statistical Society's Best Practices for Data Visualisation guidance and am a member of the Editorial Board of Significance magazine, where I'm particularly focused on data visualisation. I've also previously held roles in the RoSE (Researchers of Statistics Education) Network, co-leading the Statistics Software Special Interest Group, and as part of the Communications team. I can often be found at data science meetups, presenting at conferences, and am the R-Ladies Lancaster chapter organiser as well as a committee member of the R-Ladies Global Team.
Most of the projects you'll see here use either R, Python, Rust, or Julia, with some JavaScript and CSS (among other things) sprinkled throughout.
Projects you'll find here:
- 📊 Data visualisation and dashboards
- 📦 R packages
- 🐍 Python packages
- 🎨 Generative art
- 🔬 Academic research
- 📝 Automated reporting
If you want to find out more, you can check out my website. You can also find me on LinkedIn, BlueSky, or Mastodon. My website also has a full list of my publications.