Semi-regular posts of data viz creations. Find the code on Github, follow me on Twitter for updates or check out my website for my portfolio and contact details.
Each day also posted to scroll through below.
Contribution to the #TidyTuesday challenge week 35 using the Kaggle Power Rangers dataset. I didn't even know the Power Rangers Franchise was still going, which is incredible!
I made a stripplot exploring average ratings of episodes + seasons. Looks like the latest ones (2019, 2020) were quite good 😀 Plot made in python using matplotlib + seaborn.
In 2023, 8 cyclists were killed on roads in London, a total of 40 between 2018 and 2022. Most serious and fatal cyclist collisions happen at junctions. The London Cycling Campaign analysed stats19 data for 2018-2022 to rank the most dangerous junctions in London. This small multiples data viz unpicks the top 15 locations and visualises the junction outline and where collisions happened. Note that the layouts are based on the most recent Google Maps satellite views and might have changed over the time period.
📕 Reading
Came across an interesting paper from 2015 about tracking global bicycle ownership. Couldn't find any updates since then, so decided it's worth to map even if slightly outdated.
Good chance to play around with pypalettes - a great new python library that makes finding a nice colour map a breeze!