Learning Networks Analysis in my college course and using a program called Gephi. The larger the node (bubble) and more blue the more frequent the pokemon is used. Edges/lines are connection of most partnered teammates.Source: https://www.pikalytics.com/pokedex/gen9vgc2023series2oceaniainternationalchampionship/flutter%20mane

I literally make Pokemon cards for a living, and played the earlier video games, and I still don't know some of these Pokemon.

You might want to double-check the spelling on some of your source data. A few misspelled values (Maushold vs Moushold, Garganacl vs Gargancal, etc) are causing there to be additional nodes.

How hard is it to produce this matrix (Is this a matrix? I think it's a matrix. Please correct me if I'm wrong) with Pokemon Go data?

Ooof thanks for pointing that out

I used a matrix to create this (also called an adjacency list). The program is called Gephi (it is free) and has a similar layout to Power BI/Tableau. Has a slight learning curve

Also, the plural of “Pokémon” is “Pokémon”. It’s like deer.

Well my whole life has been a lie

Are some of these nicknames? I don’t recognize half of them

Things have changed since I was a kid

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Yikes they really started running out of ideas for Pokémon huh lol

I hope “Iron Bundle” and “Iron Hands” are at least related to each other by evolution lol

Nah theyre paradox mons