Understanding what Shiny Modules are and how they work

Exploring the differences between data.table and data.frame

How to use TileDB from R

How far away are people from public transport?

Learn how to test Shiny apps.

Experiments in visualisation

Analysing use of Brisbane's Veloway

Want to be able to create downloadable reports directly from a Shiny app? This post explains how to add this feature to your Shiny apps by using parameterised reports.

Analysing journeys to education

An example of how to use an autoencoder to identify anomalies in credit card transaction data.

Validating our Twin Cities Product

Analysing journeys to education

Where the workforce of Melbourne lives

High resolution demographic data with Twin Cities

A quick rundown of the `CsubsetDT` function in data.table v1.13.0

Musings from rstudio::conf

Here's the poster I presented at rstudio::conf 2020 Thanks to all those who came over and said hi.

As I've transitioned our blog to the `blogdown`, `hugo`, `github` and `netlify` stack I've found some great resources and spent too long figuring out where to put stuff so it all hangs together. Hopefully these notes will assist someone else out there to get started.

In this final post in a series on visualising spatial data, I use mapdeck's trips layer to map the journey of migrating birds

This post continues to explore different ways of visualising bird migration data using mapdeck

Here I will work through an example of plotting bird migration using mapdeck

In this post I'll give a very brief introduction to spatial data