The Pastime

baseball thoughts and analysis
The Pastime

Oakland (52-49)
Oakland (52-49)

Countdown to the trade deadline:
-- - -- - -- - --

SABR

SABR

Get Firefox!

BlogBurst.com

Support Bloggers' Rights!
Support Bloggers' Rights!

Enter your email address:

Delivered by FeedBurner

eXTReMe Tracker

BlogBurst.com

Blogarama - The Blogs Directory

  • Oakland Athletics News

    Powered by sideRSS
  • Athletics Nation: Front Page Posts

    Powered by sideRSS
  • Beyond the Box Score: Front Page Posts

    Powered by sideRSS
  • NOTES FROM THE NAT: Vancouver Canadians news

    Powered by sideRSS
  • SFGate: Oakland Athletics : The Drumbeat

    Copyright 2008 Hearst Communications Inc. Powered by sideRSS
  • XML Feed

  • A Minor Consideration

    Powered by sideRSS
  • Big Red Analysis

    Powered by sideRSS
  • Swivel graphs

    Up until now, I’ve been using OpenOffice’s built in graphing feature to produce the many graphs I’ve posted on The Pastime. It’s kind of a hassle, but one that I’m used to.

    I got an email earlier today from the guy who runs Swivel.com, telling me that he’d borrowed some of the data I’d used for the unified projections to show me what his graphing utility could do. I’d have to say I’m impressed by the potential. Swivel will take a data set you’ve uploaded and create a bunch of graphs with it. It takes a little tweaking to get them to look like you want, and there are still a few features that I’d like to see added. All in all, it’s a nice tool.

    I particularly like the speed at which data can be turned into various graphs. I’m sure as it develops, you’ll see swivel graphics on here more often.

    Here’s one representation that I knocked together quickly. I fed the umpire ball and strike percentage data to swivel, and this is what it came up with.

    %ball by %strike

    Very similar to my original graph, though I wish it would display names on scatterplots. I’m still playing with it, though.

    2 Responses to “Swivel graphs”

    1. a statistician Says:

      Me again. Sorry, but I don’t feel this graph is necessary. You have to ask yourself what this scatterplot is showing. It shows that umpires who call more balls call less strikes. It also shows that umpires who call less balls also call more strikes. That should not be surprising.

      As you suggest in your post, I think what you are probably most interested in finding out is who calls the most balls. If so, a simple ranked list would suffice.

    2. Ryan Armbrust Says:

      There are problems with this graph, certainly. For one, it’s hard to see the scale. There’s no option for standard deviation to be displayed.

      However, a ranked list of “who calls the most balls” wouldn’t work, since you have to compare the number of ball called to the total pitched thrown, and the league average, to get an idea of who has a smaller strike zone. If you look at some of the other work I’ve done under the “UMPIRES” tag, I think you might see what I’m getting at.

    Leave a Reply

    You must be logged in to post a comment.

    All original material is copyright © 2005-2008 Ryan Armbrust 

    The Pastime is powered by WordPress and a modified Fluid Web Theme