I am currently in training for a 10km running race. As part of my training I have started doing the park run every saturday morning to get some speed practice. This saturday I did the Brockwell park run in south london and got my second fastest parkrun time of 26 minutes 47 seconds
Welcome to my brand new and shiny ‘Blogdown’ website! My blog is now moved from its old home (jennysnape.wordpress.com) to this website made in Rstudio using the blogdown framework.
This post was inspired by this competition, hosted by JumpingRivers. The competition asks you to extract data from their GitHub account containing the details of R groups and R ladies groups around the world. With this data it asks you to create a visualisation, of any kind. I’ve been working on my visualisation skills in R so I thought I would have a go at entering.
Although not quite a mainstream genre, there are plenty of films about mathematicians or featuring applications of maths. I find these films oddly comforting and I’ve watched many of the films on this list over and over again. I love discovering new mathematical films so I thought I’d put together a list of my favourites to help give someone else some inspiration for their next movie night in. Here is a countdown of my personal top 10 (plus honourable mentions).
For the last 8 weeks I have been taking the Code First Girls Spring 2018 Python course, hosted by IG. This is a free course for women who are students or recent graduates with the aim to encourage more women to get into programming and tech careers. These courses are hosted all over the UK, sponsored by various companies and universities. There are currently 3 different courses you can do: Beginner front-end programming, intermediate Python and intermediate Ruby.
After learning to plot graphs in R using ggplot2, the next visualisation technique in R I wanted to learn was how to plot geographical data on maps. There is a package called ggmap that works with ggplot2 to allow you to plot maps. You download a map of your chosen location from google maps and use it as a layer in the ggplot2 plotting system.
Last week I went to see the new and highly hyped Marvel film - Black Panther. I had been out the night before and was severely hungover. However my boyfriend would not allow me to lounge around in bed all day and instead made me get up and go into town. While we were out, we went to see Black Panther.There are definitely worse things to do on a hangover, however I have a feeling my pounding headache combined with the fact that I’m not really a marvel fan anyway (this was only the second marvel film I had ever seen) may be the reason I was the only person in the cinema who did not enjoy the film. Don’t get me wrong I enjoyed the visual effects and light hearted humour, It’s just that I had major issues with the plot line and thought I was going to be sick most of the way through. Anyway, almost everyone else I have talked to seemed to have loved the film. In fact it is the highest grossing film of 2018 so far. That got me wondering about what data is available online about the movie and what can it tell us about what people really thought of the film.
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