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I learnt R during modules on the Q-step part of my geography course, learning about basic data cleaning and analysis, and later working on more advanced statistical techniques.
I've learnt Python on my course at Cardiff, and have used it for similar data analysis technqiues, and started looking into text analysis using the NLTK libraries.
I undertook several research methods modules during my geography degree, learning about more general theory, as well as studying causal analysis and using R for more advanced statistical topics.
Having dabbled in HTML/CSS before starting my course at Cardiff, my first module in web application development taught me how to properly build static HTML pages with appropriate CSS rules and selectors.
This past year, I've developed my Javascript skills, learning how to create static and interactive visualisations in d3.js.
I've realised that data visualisation is something I'm particularly interested in, and my aim is to create more in-depth projects that make use of innovative graphics, animation, interactivity and scrollytelling.
I am confident in using Adobe Illustrator, and am also familiar with Photoshop and InDesign.
I mainly use Illustrator for creating infographic-style pieces. At the FT and the Guardian, I also used Illustrator to fine-tune static graphics from SVG files.
While Adobe is fantastic, it's pretty expensive, so I've recently purchased the Affinity Suite by Serif. I've really enjoyed switching to these products and have found I'm able to do most things I can in Adobe using them.
I began mapping in R at UCL, using packages like 'tmap' and 'ggmap' to create static visualisations. This expanded into creating cartograms in R during my undergraduate dissertation, which investigated how people interpret and understand different map forms.
I'm also familiar with web mapping tools like MapBox, Flourish and DataWrapper. During my internship at the FT, I began to teach myself how to make maps in QGIS.