Hi everyone!
Welcome to the 19th issue of the Viz of the Week newsletter, where I'll be featuring a new visual each week and sharing the code behind it.
I want to give a special welcome to the 14 new subscribers that joined this week. 🤍
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Jon Ollington is a massive inspiration for beautiful visualizations in the football analytics space, and I've been wanting to recreate this visual for quite some time now.
The next fox in the box?#AFC pic.twitter.com/cSSTKUR5yZ
— Jon Ollington (@jonollington) January 13, 2022
It was a bit harder than I imagined, but I think I managed to get something close to his original artwork.
Look at that shot map from Leonardo Fernandez, that man really likes to test his luck 😂
From Around the Grounds
Here are some of the cool things I saw from the community on Twitter this past week 😀
This week I wanted to showcase some of the nice plots people have been making with the code supplied on the website, hope it serves as inspiration for others to share their work.
Serie A xG rolling plots by @argonurcahyo
Here I try to create the @SerieA_EN version.
— アルゴ (@argonurcahyo) October 13, 2022
Amazing code to follow through from @sonofacorner
Data via @FotMob
Any thoughts appreciated 😊 https://t.co/FYZVxxio7v pic.twitter.com/dgnbuj1DaO
Ukraine vs. Scotland xG cumulative chart by@ScotStats
Made my own xG Flow Chart on #JupyterNotebook after inspiration from @sonofacorner and watching @mckayjohns video on Youtube (hopefully that's not too offensive!). Very new to this so it's a little bland and any advice would be appreciated pic.twitter.com/0FRIOPBhqo
— ScotStats (@scot_stats) October 13, 2022
Luton Shooting Areas by @fazen06
I made my first data viz today following @sonofacorner's tutorial for shot maps. This shows where Luton Town took their shots from, during the 21/22 season. Hopefully the first step to more data visuals in the future. Very excited about this. pic.twitter.com/N4Pyuobe1r
— 🇨🇷 Tu Tico Favorito 🇨🇷 (@fazen06) October 15, 2022
The code
I hope you enjoyed today's post. As always, you're welcome to take a look at my code and reproduce the visual.
If you get consistent value out of the site, consider becoming a paying member to support the improvement and content available on the website. I would really appreciate it!
All you need to do is check out my GitHub to get access to the notebook and the data behind it.
If you're already a member, I apologize for the delay on the exclusive member newsletter and GitHub repo, it's been a bit tougher to set up than I imagined, but it'll be worth the wait. I'll have it ready for this Saturday 😉
