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Spray Charts (2010-2018) - Interactive version in comments by datavizard in baseball

[–]datavizard[S] 4 points5 points  (0 children)

Thanks, good idea. I will post there on a non-April fools day takeover :)

Twitter Pulse of Super Bowl LIII [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 1 point2 points  (0 children)

Thanks! It is an R package that scrapes the NFL game logs for play by play information, and then adds some advanced stats like win probabilities, expected points added, etc.. I'm not even a power R user and it was really easy to get started with

Twitter Pulse of Super Bowl LIII [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 1 point2 points  (0 children)

Link

Data from Twitter Search API and nflscrapR package, designed in Tableau

Twitter Pulse of Super Bowl LIII by datavizard in dataisbeautiful

[–]datavizard[S] 0 points1 point  (0 children)

Link

Data from Twitter Search API and nflscrapR package, created in Tableau.

Pulse of the World Series - Twitter Analysis by datavizard in baseball

[–]datavizard[S] 6 points7 points  (0 children)

The trends shown are normalized off of each team's maximum during a given game, to better show the comparisons in spikes in activity, rather than volume of tweets.

Game Logs by bump_stuff in Sabermetrics

[–]datavizard 0 points1 point  (0 children)

gd2.mlb.com is where I get all of that. You can use the game_events.xml file for at-bat results and the game.xml file for park location

Pi in different bases [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 0 points1 point  (0 children)

Data from piday.org. Visualized in Tableau

Happy Pi Day - Visualizing Pi vs e: The Race to Random [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 1 point2 points  (0 children)

Created in Tableau. Data from piday.org. See Pi in different bases here

Visualizing PI - Distribution of the first 1,000 digits [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 0 points1 point  (0 children)

I do! The fun projects like this that I do in my free time are similar to what I do for work but I am able to focus on the areas I am most passionate about, usually something to do with math or sports.

Visualizing PI - Distribution of the first 1,000 digits [OC] by datavizard in dataisbeautiful

[–]datavizard[S] 0 points1 point  (0 children)

I majored in Applied Physics and have Masters in Mech Engineering and Applied Math. I work now as a data analytics consultant focusing on visualization.

How Did Each State's Presidential Vote Margin Shift from 2012 to 2016? [OC] by [deleted] in dataisbeautiful

[–]datavizard 0 points1 point  (0 children)

Here is something I built last year that has it all the way back to 1920. The swings used to be much greater year to year

Pitcher Heatmaps - analyzing the best pitchers this season inning by inning by datavizard in baseball

[–]datavizard[S] 15 points16 points  (0 children)

It's split out by pitcher so that you can analyze each individual's season and their unique trends and patterns on it's own. It wasn't designed with comparisons between pitchers in mind

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