Software Development

I have developed software packages for generative art, data analysis, data visualisation; and outlier detection. The source code for all of my publicly available software packages can be found on GitHub.

R

ggflowchart

{ggflowchart} is an R package for creating flowchart diagrams using {ggplot2}.

doi: 10.32614/CRAN.package.ggflowchart

CRAN: cran.r-project.org/web/packages/ggflowchart

GitHub: github.com/nrennie/ggflowchart

Documentation: nrennie.rbind.io/ggflowchart

PrettyCols

{PrettyCols} is an R package containing aesthetically pleasing colour palettes. The structure of the package is based on code from the {PNWColors}, {wesanderson}, and {MetBrewer} packages.

doi: 10.32614/CRAN.package.PrettyCols

CRAN: cran.r-project.org/web/packages/PrettyCols

GitHub: github.com/nrennie/PrettyCols

Documentation: nrennie.rbind.io/PrettyCols

RSSthemes

{RSSthemes} is an R package for styling graphics for RSS publications. This package accompanies the Best Practices for Data Visualisation guidance, published by the Royal Statistical Society, which can be found at rss.org.uk/datavisguide.

doi: 10.32614/CRAN.package.RSSthemes

CRAN: cran.r-project.org/web/packages/RSSthemes

GitHub: github.com/nrennie/RSSthemes

Documentation: royal-statistical-society.github.io/datavisguide/docs/tools

aRt

{aRt} is an R package to create generative art, using {ggplot2} graphics.

GitHub: github.com/nrennie/aRt

Documentation: nrennie.rbind.io/aRt

aRtData

{aRtData} is an R package containing data used in the {aRt} package. Data generating functions are available, and the data included in the package use the default values from the functions in {aRt}.

GitHub: github.com/nrennie/aRtData

Documentation: nrennie.rbind.io/aRtData

funcnetout

{funcnetout} is an R package for detecting functional outliers in a network setting, with options for online or offline detection.

GitHub: github.com/nrennie/funcnetout

Documentation: nrennie.rbind.io/funcnetout

ggalttext

{ggalttext} is an R package which generates alt text for plots created in {ggplot2}.

GitHub: github.com/nrennie/ggalttext

Documentation: nrennie.rbind.io/alttext

ggtextcircle

{ggtextcircle} is a {ggplot2} extension R package which contains geom and stat functions for plotting angled text in a (partial) circle.

GitHub: github.com/nrennie/ggtextcircle

LondonMarathon

{LondonMarathon} is an R package containing two data sets about London Marathon scraped from Wikipedia.

GitHub: github.com/nrennie/LondonMarathon

messy

For the purposes of teaching, it is often desirable to show examples of working with messy data and how to clean it. The {messy} R package creates messy data from clean, tidy dataframes so that students have a clean example to work towards.

GitHub: github.com/nrennie/messy

Documentation: nrennie.rbind.io/messy

simnetdemand

{simnetdemand} is an R package used to simulate demand patterns for different types of transport network.

GitHub: github.com/nrennie/simnetdemand

Documentation: nrennie.rbind.io/simnetdemand

usefunc

{usefunc} is an R package containing some additional useful functions.

GitHub: github.com/nrennie/usefunc

Documentation: nrennie.rbind.io/usefunc

WBLifeExpectancy

{WBLifeExpectancy} is an R package for analysing and visualising World Bank life expectancy data. It was created and used for the analysis in the Significance article We’re not getting any younger! Or should that be “older”?

GitHub: github.com/nrennie/WBLifeExpectancy

Documentation: nrennie.rbind.io/WBLifeExpectancy

Python

PrettyCols

PrettyPyCols is a Python package containing aesthetically pleasing colour palettes. It’s a Python implementation of the {PrettyCols} R package.

GitHub: github.com/nrennie/PrettyPyCols

Quarto Extensions

PrettyPDF

PrettyPDF is a Quarto extension which provides LaTeX templates and styling to create aesthetically pleasing PDF documents.

GitHub: github.com/nrennie/PrettyPDF

PrettyTypst

PrettyTypst is a Quarto extension which provides Typst templates and styling to create aesthetically pleasing PDF documents using Typst.

GitHub: github.com/nrennie/PrettyTypst