Gender pay gap hackathon Last weekend I went to my first hackathon. It was organised by the AI club for gender minorities, codebar and ellpha. We used data on the gender pay gap available here. I had a great time so I wanted to share my experience. This is the first part of my first hackathon. The deep dive team There were different tables with different themes and I picked deep dive.

Tidy Tuesday I have seen some cool graphs on twitter created for Tidy Tuesday. I wanted to join in on the fun so I downloaded the data from week 3 and started playinh. The data are from our world in data and I downloaded the data file from github. mortality <- readxl::read_excel(here::here("global_mortality.xlsx")) glimpse(mortality) ## Observations: 6,156 ## Variables: 35 ## $ country <chr> "Afghanistan", "Afg... ## $ country_code <chr> "AFG", "AFG", "AFG".

Settlers of catan In our living room there is an old chest hiding some real treasures. Every now and again we will get Settlers of Catan out. I never grow tired of playing it as the board changes every time. The game has 19 hexagon shaped tiles that are placed at random. Eighteen tiles are linked to different resources -wheat, rock, wood, sheep and clay- and the 19th is the desert where the much feared robber lives.

The code that never really worked This post is the result of hours and hours of me trying to write some code but never getting it quite right. I think that one of the worst things that you can do to yourself is to be scared to admit that you are struggling because you will end up never trying anything new. That is why I am publishing what I have got so far despite not being very happy with it.

Inspiration I was having lunch with some colleagues the other day when they told me about a restaurant spreadsheet that they used to use to randomly pick a place to get lunch from. I of course felt the need to see if I could create something similar in R. I had also seen a really cool blog post using the osmdata package to look at the number of pubs close to metro stations in Paris.

Happy Birthday To Me! Today is my birthday. To celebrate I decided to look at what was in the news on January 27 every year since I was born. Mainly I want to see if the news were positive or negative. Getting the data I start buy creating a list of dates. I feel like there is probably a more straightforward way of doing this but I am currently obsessed with map so this is how I did it.

Sundays When I woke up this morning I wrote a long to do list. Instead of working through the list I somehow ended up spending most of my day playing in R. Scraping the web I have been keen to try web scraping in R for a while so I gave rvest a go. I was a bit too restless to actually read any tutorials so I just started trying different commands.

Emma Vestesson

I first started learning R in the autumn of 2012 but stopped after a couple of months as I didn’t use it. In January 2017 I rediscovered R again and this time I am sticking with it. After discovering blogdown and realising how many different short snippets of code I have hidden away on my computer I decided to share them on this blog instead.

Data analyst

London