"Analysis of 200,000 catches"

#PokemonGO: So I caught 200,000 pokemon and put all the info in a spreadsheet.First some generation based numbers;SeenCaughtCatch %Gen 1153,530127,15082.82%Gen 252,54835,72567.99%Gen 363,10847,81975.77%Gen 46,8494,68268.36%Gen 530118561.46%Gen ?34933395.42%In Graphical Form!What's most interesting about this is the much higher catch rate of Gen 1 than others, not sure what the causes are. Maybe easier average catch rates, maybe I actually try more, maybe I use the go+ less on gen 1. ¯\_(ツ)_/¯How about some type distribution?Water49,294Normal47,784Poison35,468Flying34,326Bug20,824Rock19,348Grass18,552Psychic15,882Ground15,427Fairy10,352Electric9,465Fire8,518Fighting7,700Ice7,585Ghost6,854Steel6,012Dark5,822Dragon2,145Now what's extra fun here is comparing this to my type numbers back at 100,000 catches.In this chart it shows catches at 100,000, then the expected catches based on that by doubling those numbers and comparing it to my catches at 200,000.But specifically, what do those catches look like?Top 50 Gen 1 by total catchesTop 50 Gen 2 by total catchesTop 50 Gen 3 by total catchesTop 50 Gen 4/5/? by total catchesI think the dips on the yellow line in each graph does a pretty good job at highlighting the most annoying pokemon in each gen.Oh and one last graph for youAll this data was acquired by screen recording my badges and swiping through each dex entry then putting it all into a spreadsheet. FUN!If you've got ideas for other interesting things to look at based on this data or graphs to make I'll try my best :) via /r/TheSilphRoad https://ift.tt/359psdm