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.
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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.
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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.
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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.
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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.
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Using the Words in Shakespeare app
Apr 14, 2019
Once I’d finished creating the Words in Shakespeare app, I had a lot of fun using it! Here are some of my findings from this very important research.
Earlier this week, I made an app that lets you find out stuff about words in Shakespeare’s plays.
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Words in Shakespeare: styling in Shiny
Apr 7, 2019
In my last blog post, I explored the words in Shakespeare’s plays, but my real goal was to make a Shiny app that would allow anybody to find out about any word they were interested in.
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Words in Shakespeare: exploring the data
Mar 31, 2019
I am a big fan of Shakespeare, so I can confidently tell you that he used a lot of words across his works. How many? A whole bunch. But if that answer isn’t very satisfying to you, then strap in, because I decided to use R to explore words used across the 37 plays generally agreed to have been written by him.
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