Many years ago, we added the Presummarized control charts to JMP version 5 at the request of folks in the semiconductor industry. While there are many types of Presummarized control charts, one of the most common is the chart called, “Individuals on Group Means,” which plots the subgroup average just
In my first Control Chart Builder blog post “Control Charts are easy in JMP 10,” I used a column named “Date” on the X-axis. When I downloaded the data, it didn’t arrive as a date; I had to create the date column from the original month and year columns. Traditionally,
For mapping regions in the United States, JMP comes with map files for states and counties. In a previous blog post, Mike Vorburger showed how to add a map files for US Metropolitan Statistical Areas. Sometimes I hear requests for ZIP code map files, and now they are available for
In my last blog post, I noted that the Control Chart Builder is an overhaul of the older Control Chart platform. One of the most requested features for Control Charts was to offer a way to customize the tests that flag out-of-control samples. I’m happy to report that the new
JMP 10 introduces a snazzy way to create control charts with a new platform called Control Chart Builder. JMP's prior Control Charts were designed over two decades ago for the classic process engineer in manufacturing and were past due for an overhaul. The more we listened to which customers
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
Well, Wall Street cares so much about making fast decisions that it is laying dedicated high-speed lines so that the data for program trades can be processed faster and orders executed more quickly. If Wall Street can do all this in milliseconds, won’t it make a difference to you to
JMP wasn’t around when Anne Milley was taking quantitative analytics courses in college. “Back then, it was all programming,” explained Milley, an economics major. “The visuals were just hideous.” Today, as senior director of analytic strategy in JMP Product Marketing at SAS, Milley appreciates the value that robust and interactive
Last week, SAS and JMP hosted Interface 2011: Statistical, Machine Learning, and Visualization Algorithms, 42nd Symposium on the Interface. The deep statistical issues were mostly over my head, but I found enough discussion of visualizations to keep me interested. Leland Wilkinson shared his recent research on Venn diagrams, which may
Graph Builder strives to help you see your data without adding any interpretation. That's why the default view shows the actual data points and the summary element is a spline smoother instead of a regression line. However, even these elements bring some baggage. Data markers have over-striking issues when many