An Analysis Of Pokémon GO Created With R. OMG They’re So Beautiful!!

Statistics, code and data

An analysis of Pokémon GO created with R. OMG They’re so beautiful!!

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“I see nice things here:

The cluster are determined by the type of pokemon.

The algorithm keep the chain evolution side by side. You can see charmander, charmeleon, charizard together.

Put steelix, onix and wailord (the most heavy pokémons) together.”

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He has not lived in vain who dies the day he is told of the true path. - 朝聞道, 夕死可矣. - Triêu văn đạo, tịch tử khả hỉ.


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Ruby - Stop-motion face paint animation - Official Version
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Source.


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Pokémon GO game study
The research is not affiliated with or compensated by Niantic or any other...

I need help from Pokémon GO players!! I'm doing a study on the game and will be very grateful if you can take a brief moment to answer this survey. Do feel free to forward it to other PG players. 

Thanks a ton in advance!


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8 years ago

Very good techniques! Brava! Bravissima!


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8 years ago

Teaching yourself about latent variable modeling using R is so much exhausting but exciting at the same time, especially when you're neither a programmer nor a statistician.

A pure psychological marketing student


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