This is the second in a series of posts involving the travelling salesman problem, somehow even more frivolous than the first. This is no coincidence, as I have recently been reading the excellent book ‘In Pursuit of the Travelling Salesman‘, which goes into great detail on the history of the problem and algorithmic techniques for tackling it. The topic which caught my eye was decidedly less technical, as we shall see below.
In the finest traditions of christmas, how about a timely blog post meant to cynically cash in on a blogosphere craving seasonal articles about nothing much in particular (see previous, sadly failed, attempt). What are the implications of Santa flying around the UK in a single night?
I saw a ‘simple’ puzzle on the internet which I thought I’d have a crack at in an evening. Several furious scribblings on the bus and the sofa later, I finally have an answer. I’m so relieved I can’t help but share the joy.
Way back when I was analysing London house price data for the Summer Data Challenge, I made a histogram of the distances from a random point in London to the nearest tube station. I noted that it peaked around half a kilometre, but ignored the shape of the distribution itself. This is an unfortunate faux pas for the accomplished procrastinator, so let’s right that wrong with the help of some stochastic geometry.
Here’s a post which combines my favourite bits of writing a blog – fairly mathematical, not too simple or difficult to implement, mostly based around pictures, not covered in my undergraduate education, and pretty damn useful in my job. Excited? You should be.
The last time I looked at house prices it went pretty well, and I ended up winning a data science competition. There I was only dealing with a million or so records, and a relatively small 120 MB dataset. Then I found out it was possible to download 3.7GB of property sale records for all of England and Wales since 1995, so let’s have another go. Continue reading →