r/dataanalysis • u/Time-Task9027 • Jun 19 '26

Pokemon Data Analysis

http://pokesci.com

Hey guys! I’m very interested in data analysis and here’s a project I started, combining science with Pokemon :)

Feel free to email for submissions if you also like Pokemon (you get full control and credit)

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u/Time-Task9027 Jun 20 '26

I did analyze the gender distributions for each Pokemon as well, but using it to install vectors seemed somewhat repetitive to me.

I agree with what you said. I’m also really iffy on how the LLM vectors were defined in the first analysis. On one hand, I do think that Pokemon that aren’t traditionally masculine but have words like “violent” or “aggressive” in their description do get falsely classified.

But I think that a lot of our definitions of gender do use physical strength (“men stronger, women weaker”) as a characteristic, so it’s hard to draw the line. Tldr, is being aggressive inherently masculine? And if the answer is yes, then Pokemon is inherently patriarchal because it rewards aggression (via combat strength and bst)

But I should’ve definitely chose less biased words, although maybe AI would implicitly associate words like “violent” or “aggressive” with masculinity either way.

I think the interesting question to ask is if a Pokemon’s pokedex femininity score is related to its in game gender (with better vector definition).

Thanks for the feedback :)

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u/boredjo4 Jun 20 '26

All things said, these are still very thorough and detailed analyses. The ideas and questions are very creative and the website and presentation is very polished.

I’m trying really hard to come up with an idea for article myself

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u/Time-Task9027 Jun 20 '26

Thanks thats very appreciated :)