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You didn’t say why, but I’m guessing for dataviz inspiration. Baseball specific, but check out a player stats page on fangraphs.com Baseballsavant is another e
by edmundsauto 2y ago
You didn’t say why, but I’m guessing for dataviz inspiration. Baseball specific, but check out a player stats page on fangraphs.com
Baseballsavant is another excellent example.
Both are targeted towards laypeople. In fact, most baseball fans are not data savvy (or even data friendly!) so these are targeted at an audience that needs things spoon fed and look for any reason to hate something.
https://www.fangraphs.com/players/tony-gwynn/1005166/stats?position=OF https://www.fangraphs.com/players/tony-gwynn/1005166/stats?p...
https://baseballsavant.mlb.com/savant-player/mookie-betts-605141?stats=statcast-r-hitting-mlb https://baseballsavant.mlb.com/savant-player/mookie-betts-60...
- _boffin_ 2y agoLove the information density of mlb!
- Kon-Peki 2y agoThe fun part about that mlb site is that all of the data used to generate those pages is freely available to download [1] and use for whatever non-commercial uses you can think of. If you come up with something interesting, you can submit and present at one of the many conferences that happen (example: [2]) and are attended by the data science folks at the various mlb teams, who love chatting with people about baseball stats. The ecosystem is extremely open especially compared to other pro sports leagues like, say, the Premier League. [1] https://baseballsavant.mlb.com/statcast_search https://baseballsavant.mlb.com/statcast_search [2] https://www.saberseminar.com https://www.saberseminar.com
- inSenCite 2y agoYes looking for some inspiration! These are great examples, exactly the kind of thing I was looking for. thanks!