I have recently started playing with data analysis and visualization and wanted to analyze Pokemon stats for fun.
Source: Kaggle: Pokemon Stats Dataset
Tools: Python (analysis), Canva (graphics)
Analysis: The Data Kitty
Posted by TheDataKitty
I have recently started playing with data analysis and visualization and wanted to analyze Pokemon stats for fun.
Source: Kaggle: Pokemon Stats Dataset
Tools: Python (analysis), Canva (graphics)
Analysis: The Data Kitty
Posted by TheDataKitty
2 Comments
Gen 4 is interesting as an outlier, I’m guessing it’s the combination of a) finishing evolution lines (like Porygon-Z or Togekiss) and b) adding more legendary Pokemon than previous versions. I would be interested to see what those numbers look like if you remove the Legendary /Mythical /distribution only Pokemon from each gen.
Finally some good visuals. Really dig those simplified pokemon representations.
Do you have statt if certain types are stronger in certain generations? Not just by count but factoring in how pokemon each type had per generation.