Last evening I was privileged to speak at the London Business Analytics Meetup. The talk was titled "An Introduction to Predictive Analytics". I promised the audience that due to my lack of slides I'd summarise my comments into a reference blog with some interesting links and resources to refer to.
Finding the time and clarity of thought to write is an ongoing personal battle that I have with myself. After much procrastination and a few months late I've taken some time out from the trade mission I'm on here in Chicago, taken advantage of the free wifi in my hotel lobby, ordered a pot of truly terrible tea and turned my current playlist right up in an attempt to get this article over the line. So here goes.
It's all about meetings. I've lost count of the number of meetings in the past couple of years. Easily a couple of gallons of tea. Some go well, some go ok and some are just plain terrible. That's fine, it's the nature of business development. You have to love the rejections as much as the wins. Feels a bit like being on tinder if I'm honest.
It's a Wednesday morning and there is a tube strike on. During a tube strike, London life gets messy. Lots of bikes get dusted off, high-heels are swapped for comfortable walking shoes, husbands and wives are drafted in to provide human courier services to get bodies to offices promptly. It's the travel apocalypse, an event that brings out the best and worst in Londoners.
Conventional wisdom suggests that a 9 month-old bootstrapping data visualisation startup should stick to its home market, carefully mind its resources and focus on getting through the first few tough, lean years. Conventional wisdom doesn't countenance sharing management time and scarce resources across markets in two geographically disparate locations. Despite this in September of 2013 Coolgarif Tech took part in the first trade mission of its brief existence.
Our esteemed Mayor of London, Boris Johnson, has 'Boris bikes' and 'Boris buses', and we thought he also might like to have a 'Boris Board'. So we grabbed some data from the London Data Store and put together this light-hearted attempt to imagine 'Boris Board' as an interactive data visualisation that Mayor Johnson could use to run the show!
I wanted to pass on details from an excellent article in the Economist from earlier this month reviewing three recent books on Data Visualisation
Following on from where we ended in part 1 of this series, we've now got a dedicated Neo4j graph database sitting on an Ubuntu instance and we are ready to start building graphs. This post will describe how I used fairly straight forward python script together with the python embedded bindings to populate the graph with nodes and relations.
I've been using relational databases of one sort or another for most of my career. Back when I was a derivatives trader at HSBC we used to use MS Access to hack VBA applications together on the fly for the trading desk (in fact that was my initial exposure to the world of software development!). Since then I've primarily used Postgres for client development work at Coolgarif Tech. I like its stable setup and psql cmd line editor is excellent!