Hi everyone!
Welcome to the 25th issue of the Viz of the Week newsletter, where I'll be featuring a new visual each week and sharing the code behind it.
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This week I wanted to create a new table visual with matplotlib and continue on the topic of crosses from the previous post, which caught a lot of attention.
Here are all players which rank in the top 85th percentile of crosses attempted (and with at least a thousand minutes under their belt).
Not many surprises in the names. However, I was particularly surprised with Martinelli's success rate from crosses – just 1 out of 10 crosses makes it to the intended target.

From Around the Grounds
Animated Plots with matplotlib & manim
If you're interested in learning more about matplotlib and animations using Python, I recommend looking at the links provided in this tweet.
I haven't had the chance to try it yet, but it's definitely on my bucket list.
Animating @matplotlib plots with @manim_community is fun! Parameters can be controlled with valuetrackers, and it's easy to choose rate functions, frame rates & fade-in effects. Example scripts here: https://t.co/GKUXBTA0NZ
— Jan-Hendrik Müller (@kolibril13) January 6, 2023
Ideas for use cases? Let me know in the comments 💭 pic.twitter.com/ju6HgABZkl
Scott Willi's Pass Sonars
These charts have been on my mind for quite a while. Now that I have managed to scrape some data from Who Scored, I think it could be a good idea to give it a go for next week's edition.
Whatcha think?
Finished another little project I had been wanting to get done.
— Scott Willis (@scottjwillis) January 8, 2023
Match pass sonars, this is for Arsenal vs Newcastle pic.twitter.com/njoaBvuGkT
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.
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All you need to do is check out my GitHub to get access to the notebook and the data behind it.