Can you predict the output from this code?
[Read More]Bad Neighbours (no, not the movie)
Another day, another compulsion to see if I can do any better than someone’s solution.
[Read More]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
optimise
200a + 100b + 50c + 25d
under the constraints
400a + 400b + 150c + 50d ≤ 1000, b ≤ a, a ≤ 1, c ≤ 8, d ≤ 4,
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#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 participants, so I checked it out. Slack is pretty awesome as far as a unified workspace/messaging protocol can go. What makes it even more awesome, is that someone (@hrbrmstr, no surprise) has made an R package that talks to it.
[Read More]Simpler isn't always faster
My name is Jonathan, and I have a coding obsession.
[Read More]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. “Let’s do it!” I said. What I found may shock you (click-bait title; check).
[Read More]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.
[Read More]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 working on will get their chance in the very near future.
[Read More]Image marginal histograms
Another day, another interesting challenge.
[Read More]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 more people living at that latitude/longitude.
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