A case study in using deep learning to identify fraud

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

Twin Cities - A day in the life of a data scientist

Validating our Twin Cities Product

Won't somebody think of the children

Analysing journeys to education

Where do you want to live?

Where the workforce of Melbourne lives

Twin Cities: Synthetic household-level demographics

High resolution demographic data with Twin Cities

A new feature of data.table for us developers

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

I left my aRt* in San Francisco

Musings from rstudio::conf

Mapdeck - more than a map

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

How to set up a blogdown project

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.

Visualising spatial data using sf and mapdeck - part four

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

Visualising spatial data using sf and mapdeck - part three

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

Visualising spatial data using sf and mapdeck - part two

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

Visualising spatial data using sf and mapdeck - part one

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