Publications
My published and submitted academic publications, and links to further blog posts.
Overview of academic research and data science projects.
My published and submitted academic publications, and links to further blog posts.
Data visualisation is essential for exploratory analysis, and for effectively communicating results.
Training courses and workshops, covering programming, statistics, and visualisation.
R packages for generative art, data analysis and visualisation; data simulation, and outlier detection.
Development of methods for detecting outliers in time series data, for transport networks.
Generative art is the practice of creating artwork using code. When the programming language of choice is R, it’s often termed Rtistry or aRt.
Within statistics education research and practice, I am particularly interested in the areas of R pedagogy, teaching in applied contexts, and good practices for data science.
My research includes applications of statistics and machine learning to healthcare data.
A selection of interactive applications and dashboards developed using R and Python.