Rice and beans — a mix of different and sometimes opposite things. Random walk in action.
I don't like Stata, I've said as much out loud in meetings more than once. But it keeps showing up in every job I've had, so here's an honest breakdown of the good, the bad, and why I've made my very reluctant peace with it.
I have been missing for a year and a half. Here is why, what changed, and how I rebuilt this website from scratch using Astro, Tailwind, and a healthy amount of Claude.
Finding groups of like-minded regions in the EUROVOICES survey data — from framing the problem to imputing missing answers with MICE.
From gathering and labelling data to using LLMs as classifiers, ending with the EU Rule of Law Tracker.
Joining R, Python, and JavaScript together into a single visualization.
Building small data apps in pure Python — from first widgets to wiring up Dropbox as remote storage.
I use the word workflow a lot when talking to people from other teams. And they are used to it by now, but they always aks me... what is the workflow?
Geometry Simplification is a very helpful way to optimize the storage, processing, and visualization of your geographic data.
Working with text data can be fun, but also tricky. Always be careful of which encoding system you are using, specially if you are dealing with characters or graphemes unknown to the English alphabet.
Some geographical data sources include Taiwan as part of China. In this post, I show you how to split these territories without having to use other data source.
Step-by-step builds of individual charts, one visualization at a time.
When dealing with online data, we frequently encounter information about locations. In this post, I will be showing you how to transform this information into geographical coordinates using R programming language.
Collecting data from the web with Python: how websites are structured, harvesting with requests, and automating browsers with Selenium.
Coming up with the almost perfect visualization for your data is not easy task. In this post, I go through my Data Visualization process as part of my daily routine.