A collection of things that I’ve built and shipped - packages, small web apps, and the odd game. Most of them started as tools for my own use, and all of them are open source.

My packages

I’ve authored several R packages, which are all available on GitHub:

Rsurveytoolbox documentation sitesurveytoolbox
Tidy support functions for survey analysis.
R📈tstoolbox
Useful tools for time series analysis in R.
Rrwa package siterwa
Perform a Relative Weights Analysis in R.
R📝textworks
Save time working with survey and text data!
R🗺zipcodes
US zip codes database for R.
R⚙modeltoolbox
Convenience functions for building models in R.
Rgpxtoolbox package sitegpxtoolbox
Tools for analysing and visualising GPX files.
Rparallaxr package siteparallaxr
Generate a parallax scroll document in R with YAML and Markdown.
Rdevtoolbox package sitedevtoolbox
Tools for the R developer.
Rmschart2 package sitemschart2
Experimental add-on to {mschart} with native Office chart features.
Rhkdatasets package sitehkdatasets
An R data package containing datasets related to Hong Kong.

Most of these packages were to some extent “by-products” of the analysis that I’ve been doing for the last couple of years, which I decided would have greater value developed into packages.

In addition, I maintain the following packages as part of my work with Microsoft Viva Insights:

Rvivainsights R package sitevivainsights
Analyze and visualize Viva Insights data in R.
Pythonvivainsights Python package sitevivainsights-py
Analyze and visualize Viva Insights data in Python.
Rwpa package sitewpa
Analyze and visualize Microsoft Workplace Analytics data in R.

If you have any comments or questions about these packages, please get in touch - any feedback would be valuable!

Projects

Alongside R packages, I’ve recently been building small web apps and tools through “vibe coding” — quick, exploratory builds where I use AI-assisted development to turn an idea into a working tool as directly as possible. These are typically self-contained, browser-based, and built for a specific real-world need of mine.

PythonTrack Tag Manager screenshotTrack Tag Manager
A local Python app for tagging and organising tracks, designed for DJ workflows.
TypeScriptTri Harder screenshotTri Harder
An AI-powered triathlon coaching app.
TypeScriptWrava screenshotWrava
A local-first writing app that tracks and analyses your writing activity.
TypeScriptDominium screenshotDominium
A turn-based strategy game for 2 to 4 players, playable in the browser.
PythonOpenCode Dashboard screenshotOpenCode Dashboard
A local, read-only dashboard for exploring your OpenCode token usage.
TypeScriptHouse of Cats screenshotHouse of Cats
An experimental isometric 2.5D browser scene with pixel-art cats.
JS🚲Bike Routes
A curated collection of cycling routes, with maps, elevation profiles and GPX downloads.
JSInterval Tracks screenshotInterval Tracks
Generated workout audio entirely from code.
JS📝ds-quiz
A single-page assessment tool for data science knowledge.

For a closer look at each of these projects, I’ve written up the ideas and thinking behind them on the projects page.

Blogs

On this same site you can find my blog, where I write about things related to #rstats and data science. I contribute my blogs to r-bloggers, R Craft, and R Weekly, which you can find as an example two of my blogs featured in the 2019 Week 17 update on R Weekly. My post on the state of R artefacts is also selected as the highlight post of 2019 Week 27 on R Weekly.

Highlight posts

EARL Conference 2018

Enterprise Applications of the R Language Conference (London)





Martin Chan presenting at the EARL Conference 2018
Martin Chan presenting at the EARL Conference 2018

I presented at the EARL Conference 2018 on the challenges of using R for market research, and outlining some of the packages and approaches that help overcome these challenges.



Check out my blog on using R for market research and strategy planning below:

Swiss Army Knife for Strategy Planning

Download slides

Interview with Jonathan Ng

A YouTube Interview on R, Data Science, and Market Research





Jonathan Ng is a best-selling instructor and Data Scientist who interviewed me on how I use R in a market research and consulting environment, and my personal journey from Excel to R. Check out the full interview here: