Data Science

What I have found over the years and use frequently. Of use for R beginners and those who want to refresh their memory. For data-driven research outputs, see my research projects.

My Work

Analytical toolkit

My quantitative work spans community ecology (PERMANOVA, constrained and unconstrained ordination via vegan), mixed-effects and GLS models for heteroscedastic biological data (nlme, following Zuur protocols), generalised linear latent variable models for multivariate abundance data (gllvm), functional trait analysis including community-weighted means and trait-based dissimilarity (FD, betapart), and Bayesian modelling (brms). Analyses are organised into reproducible pipelines using targets.

Open work

I maintain an open archive of TidyTuesday data visualisation projects — weekly practice in exploratory analysis, ggplot2, and communicating data clearly. All code is public: github.com/tjw-benth/TidyTuesday.

TidyTuesday Projects

A showcase of my data analysis and visualization projects from TidyTuesday, a community data science initiative. You can explore all of my projects in my GitHub repository.

Featured Highlights: Two random projects are showcased below. Refresh the page to see different projects!

R packages

A small sample of ones I use regularly.


Data wrangling

  • cli - Command line interface tools
  • tidyverse - Collection of data science packages
  • worrms - World Register of Marine Species client

Data analysis

  • vegan - Community ecology package

Plotting

  • gganimate - Animated ggplot2 graphics
  • ggblanket - Simplified ggplot2 wrapper
  • ggOceanMaps - Ocean and land maps
  • ggstream - Stream plots in ggplot2
  • ggtext - Rich text rendering for ggplot2
  • MetBrewer - Color palettes from the Met Museum
  • patchwork - Compose ggplot2 plots
  • sf - Simple features for spatial data
  • sp - Spatial data classes and methods
  • plotly - Interactive web graphics

Books and Literature

A selection that I always seem to refer back to.






Other Resources

A selection of resources that I have found useful.





Infographics and Cheat Sheets

Links to original source included.