Ah, yes. It’s been a good year. Why? Because JMP® software only gets better with age. Each new release boasts enhanced features and capabilities. And as time goes on, more people come to recognize the power of data visualization for making breakthroughs. As 2009 comes to a close, we reminisce
Have you ever wanted to color points on a scatter plot by some other variable? I do it often, by using the Row Legend command. This way, not only are the points colored, but a legend is added too. As an example, let’s create a scatter plot for which the
JMP Seminar: Lowering Costs Through Visual Analytics
Last week I had the great fortune to attend the Explorer Series event, Exploring Predictive Analytics and Data Visualisation with JMP, presented by Stephen Few and my colleague Chuck Pirrello. We had good attendance at the SAS offices in Marlow. Some people even flew in from Ireland. As always, Stephen
The SAS Solar Farm data (available in the JMP File Exchange) has proven to be a rich topic for discussion and exploration. Besides the cool factor from green technology, the factors (such as sunlight, wind, temperature) can be understood by anyone, and yet the interactions are complex and not all
In my Solar Array Surprises post about the SAS solar farm, one of the surprises was a midday dip in the power output, for which commenters supplied several possible explanations. That data was from April, and we could only speculate what the summer data would look like. But now summer
In his August 10 blog post, Stephen Few, a widely recognized expert on data visualization and founder of Perceptual Edge, shares his insight into the graphic capabilities of soon-to-be-released Excel 2010. Steve had viewed this upcoming version with great anticipation, for he had been disappointed with Excel 2007’s graphic capabilities.
I attended Sam Savage’s presentation based on his book The Flaw of Averages (PDF) not once, but twice. Although I have one solitary statistics course under my belt, I found Sam’s ideas quite accessible, and worth hearing a second time. Sam uses what he calls the five “mindles.” Like a
Vector plots show arrows on a two-dimensional plot and allow one to see four dimensions of data: x position, y position, arrow angle, and arrow length. Equivalently, the four dimensions can be x start position, y start position, x end position, and y end position. The latter form is most
“Now You See It” is data visualization expert Stephen Few’s new book, explaining how to use simple visual techniques for quantitative analysis. In this textbook-sized offering, Stephen explores one of the more overlooked aspects of analysis: the graphic representation of information. Stephen lays the foundation for good visual analysis in