What gets reviewed at the Edinburgh Fringe?
Sep 12, 2019
With my Fringe Roulette app, I shared my love of the Edinburgh Fringe with you. I was there for a week in August, and actually used my app to find one of the shows I saw!
Things I learnt in July and August 2019
Sep 1, 2019
Over the past few months, I’ve spent a lot of my personal project time on web scraping. This was core to the first step of the asylum data project that I wrote about recently, and I’ve also been scraping audience reviews of shows at the Edinburgh Fringe Festival - hopefully my next post will look at sentiment analysis and other considerations of which shows actually get reviewed.
Raise your regexpectations
Aug 18, 2019
In my most recent post, I introduced a project I’m working on to draw structured data out of decisions published online relating to asylum cases heard in the Upper Tribunal.
Using rvest to redo my dissertation
Jul 28, 2019
In 2013, I wrote my Masters dissertation on the barriers women face claiming asylum in the UK on the basis of sexual orientation. There were several elements to this research, one of which involved me downloading 762 decisions on cases in the Upper Tribunal (Immigration and Asylum Chamber) (UTIAC) from 2012 and reading them to find any that might be relevant.
Introducing Fringe Roulette
Jul 20, 2019
The Edinburgh Festival Fringe is one of my favourite places to be. An overwhelming number of shows are performed there every year, which makes for a unique and exciting atmosphere.
Things I learnt in June 2019
Jun 29, 2019
This is the first in what will hopefully become a regular series of posts giving a quick selection of things I’ve learnt in the past month.
More maps! and some cautionary words
Jun 10, 2019
I am a woman of my word. When I told you in my last post that I would be back with more maps, I’d already started writing this.
Mapping the SO Developer Survey
Jun 9, 2019
I love getting the chance to plot data onto a map. They look so much more engaging than a bar chart, and what’s more, clients love them too.
Three reasons why I use data.table
May 30, 2019
When I shifted career into data science, I never thought that one of the first things that would really hook me in would be discovering new, elegant ways to structure and manipulate data.
Find your slow with profvis
May 1, 2019
Sometimes code has to be slow. If you’re running an incredibly complex model with zillions of data points? Yeah, you might want to put the kettle on. But even if you are realistic about the running time of your project, there are almost always ways to make it go faster.