Business Visualization

4月 172012
Each quarter, JMP systems engineers present 11 Mastering JMP live webcasts, which are intended to help users develop and expand their JMP skills. Some webcasts are available as on-demand videos now. We'll roll out the others after the upcoming live events take place. Did you miss one of the live webcasts? Register [...]
10月 262011
Whether you steer strategy from the C-suite or execute operations from your cubical, you can use analytics to transform your organization.  I have continued to gain greater appreciation for the value of analytics at the many conferences that JMP has participated in this fall, including Predictive Analytics World in New [...]
10月 142011
Systems engineer Jami Hampton opened the autumn 2011 series of live Mastering JMP webcasts to 600 JMP users who wanted to learn how to find a good multiple regression model using the JMP Fit Model platform. Jami's PowerPoint presentation and videos of her demo are available. Jami used data and [...]
9月 272011
The Internet is all abuzz, aflutter and atwitter lately about Netflix’s recent decisions to raise prices and split its well-known DVD-mail service off into a new service called Qwikster. I’m not immune to the hype, and since my last Netflix charge came in at over $25, I've been wondering if [...]
9月 222011
Well, another fantasy baseball season has come and gone in the Synthetic Chemicals Baseball League. I am pleased to report that the JMP Yankees have taken the 2011 title. This eight-team league was formed in 1988, and this is the 13th championship for the JMP Yankees franchise in the 23-year [...]
9月 092011
The autumn lineup of live Mastering JMP webcasts is set. And if you are one of the 2,000+ JMP users who attended a live webcast during the first half of 2011, you'll notice some new topics: • Sept. 29: Finding the Best Predictive Model for Your Data • Oct. 6: [...]
8月 082011
At a recent meeting with Alan Brown of Syngenta, one of the world’s leading agribusinesses, he described how his role has evolved from being a chemist into being a global statistical troubleshooter. In this role, Alan helps other parts of Syngenta, notably production, to increase yields and resolve problems through [...]
7月 202011
With all the fanfare in New York for Derek Jeter reaching the 3,000-hit mark, I couldn’t resist the opportunity to gather some data to put this rare event in perspective. First off, let me qualify my interest and passion around this topic. I was born and raised in Pelham, New York, which is roughly 15 minutes from Yankee Stadium. I grew up following Mickey Mantle, Roger Maris, Yogi Berra and Whitey Ford in the 1960s. My passion for baseball and the Yankees is clearly a result of those memorable early days of going to see them with my Dad.

Much later on in my life, I embarked on a fantasy baseball endeavor with my Eastman Kodak colleagues, and I have been active since 1988 with this hobby. One of the most memorable moves that I made in our keeper fantasy baseball league was to trade Cal Ripken for Derek Jeter during his rookie season. The rest, as they say, is history. Derek Jeter has been the JMP Yankees shortstop his entire career, and the JMP Yankees have been a consistent championship contender year in and year out.

Visualizing the data on the 3,000-hit club in JMP only increased my appreciation of Derek Jeter’s career. My first observation is that the 28 players that have reached the lofty milestone of 3,000 hits have a mean age of 39. Jeter is 37.

graph in JMP of distribution of ages of players who have had 3,000 hits

Further evaluation of the distribution of the year that each player reached 3,000 hits led to another interesting observation. When one fits the distribution in JMP, a normal two-mixture fit results. Curiously enough, the MLB expansion occurred in the 1960s, when the number of teams increased from 16 to 30. The number of players to reach 3,000 hits was 8 before 1960 and 19 since 1960. One could argue that pitching dilution is the reason for this.

I also thought it would be cool to visualize the data utilizing Graph Builder in JMP, adding a reference line for the mean age of 39, and also to see the frequency of the 3,000-hit event over time. (Click on the graph below to see a larger version of it.)

Quite honestly, even though I am a biased Yankee fan, this graphic really makes me appreciate how extraordinary a player Derek Jeter is and how glad I am that I was able to lure him away for Cal Ripken a long time ago.

EDITOR'S NOTE July 27: The JMP data table for the 3,000-hit club is now available in the JMP File Exchange. (You need a SAS login to get the free download.)