Transaction analysis web app

As a poor student, I always tried to keep a close eye on what I spent. This usually amounted to skimming statements and manually keeping track of what went where, a decidedly sub-optimal solution.

Thanks to an initiative called MiData, you are now able to download transaction histories from your current account in CSV format, which is ripe for analysis. I built a small tool for myself, which I put online here for your enjoyment. I should note this is the first slightly complex thing I’ve written in Javascript, so if it breaks in unexpected ways feel free to get in touch and let me know.

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The Travelling Artist Problem

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.

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Stochastic geometry and the London underground

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.

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