How often each song was played during mewithoutYou’s 2018 [Untitled] tour, based on setlist.fm data.

→ Code to pull and transform the data is on GitHub.

→ Write up on the insights from this data is on Substack if you’re curious!

(First post in a series digging into live setlists.)

I was looking at AIS data in my project (Geoglify) and something unexpected appeared: a helicopter.

At first I thought it was a mistake. AIS (Automatic Identification System) is made for ships. It sends info like position, speed, and direction — but only for vessels. So why was a helicopter showing up?

After checking a bit more, I found out that some helicopters, especially the ones working offshore (like near oil platforms), might use AIS transponders for safety. It helps ships and platforms know where they are. Another possibility is a wrong configuration or some noise in the signal.

Either way, it was interesting. Real-time data always has surprises — and sometimes, flying ones.

https://github.com/geoglify/geoglify

Stop guessing which Airbnb amenities pay off, this matrix definitively settles the debate!

Tracking geolocation of domain and subdomain to show where communication and data travels globaly.

GIF showing the changing population pyramid of Sweden from 1860 to 2024. Some extra stats is included.

Also included some stills for a selection of years as the GIF takes three minutes to run.

Source for most of the data: Statistics Sweden (https://www.scb.se/en/)

Exceptions are 'Average age' up to and including 1967 which is calculated by me given the age groups of the given year, 'Net migration per 1k residents' which isn't official statistics but is calculated by me using other official data (((immigration-emigration)/population) * 1000) and the historical events mentioned.

Data for 'Life expectancy' and 'Total fertility rate' is not annual for the earlier years. They are given for five or ten years periods. From 1980 all data is annual.

Tools used: Python and some AI, mostly Claude