From a (set.)seed grows a mighty dataset


Can you predict the output from this code? Okay, the first bit is straightforward; it’s a function that puts two string together into one. The next two lines appear to provide a random integer to the set.seed function then sample…Continue Reading →

Solving Inequality (the math kind)

This neat approach showed up recently as an answer to a FiveThirtyEight puzzle and of course I couldn’t help but throw it at dplyr as soon as I could. Turns out that’s not a terrible idea. The question posed is…Continue Reading →

#auunconf slack users’ timezone locations


I had never used slack before, but had read a heap of tech articles extolling its virtues. Apparently this is what our current Prime Minister advocates within Cabinet. The upcoming #auunconf organising team set up a channel and invited the…Continue Reading →

52vis Week 2 Challenge — Australian Version

I mapped out the USA homelessness rate in my last post as a challenge and noted at the end that it would be interesting to do the same for Australia. That was the first comment I received in person, too….Continue Reading →

52vis Week 2 Challenge

From Bob Rudis’ blog comes a weekly data/coding challenge. I didn’t quite get the time to tackle last week’s but I thought this one offered up a pretty good opportunity.

Bring on the ROpenSci #auunconf 2016!

I’ll be heading to the 2016 ROpenSci un-conference (hackathon) in Brisbane later this month to smash out a heap of open-science R code. Ideas are already flowing quite nicely, and I’m confident that any ideas we don’t end up officially…Continue Reading →

Is it crowded in here?

This was a neat graphic that someone made. It shows the population at a given latitude or longitude as a bar chart, overlayed on a map of the world itself. It shows where people live; the bigger the bar, the…Continue Reading →