A few years ago I wrote a post about the updates I had made to my dataset with political datasets. Back then, there were more than 500 datasets in the dataset. Today, there are more than 600 datasets. Here is an overview of the categories within the datasets. We still see that a lot of […]
Category: statistics
Visualising local EP election results over time
In 2014, the Danish People’s Party achieved a great result in the European Parliament election in Denmark. They became the biggest party with 26.61% of the votes. Ten years later, in 2024, the party only got 6.37%. Here I will show how to create a figure showing the local results of the EP election in […]
Potpourri: Statistics #101
A year ago I decided to make a “final” post with links to interesting statistics material. I use quotation marks because, lo and behold, here is another post. Who cares? I do not. We are back. As always, you can access previous (and future) links on GitHub (there is a CSV-file with all links in […]
Notes on PyData Amsterdam 2024
This week I spent a few days attending PyData Amsterdam. I initially thought it would be three days (as it said on my ticket), but it turned out that I only had access for two days. In the grand scheme of things, it turned out to be good as my week was a lot more […]
Headache estimates are giving me a headache
Here is the first paragraph from the introduction in a paper on headaches: “In the general population 4% have never experienced a headache.” Of course, such a precise number caught my interest. How do we know that 4% of people have never experienced a headache? Luckily, the paper provides some insights, namely that when asked […]