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Jay Arthur
Copyright © 2011
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I've recently had the good fortune to stumble across Edward Tufte's books on the Visual Display of Quantitative Information (Graphics Press 2001). Tufte offers insights into how to best display information for maximum effect and easy of comprehension. Graphical excellence, Tufte insists, consists of:
While Tufte focuses on graphical artists who present data in newspapers and magazines, his insights apply to the Six Sigma Green Belt and Black Belts as well. Tufte says: "Many graphic artists believe that statistics are boring
and tedious." Many people believe this too, but Tufte continues:
"if the statistics are boring, then you've got the wrong numbers."
In the BeginningI've never given it much thought, but using graphs to show numbers is a recent invention dating from the late 1700s. Tufte says: "Often the most effective way to describe, explore, and summarize a set of numbers--even a very large set--is to look at pictures of those numbers." Isn't that the essence of statistical process control (SPC)? Reducing large sets of numbers down to a few key visual insights? Graphical DesignHave you ever seen a chart or graph that has so much going on that you can't figure out what they're trying to show with the data? I sure have. Tufte offers some simple rules for creating attractive graphs:
Tufte also offers some simple rules for cleaning up a graph:
Bar Chart ExampleLet's look at an example using data from c:\qimacros\testdata\line-run.xls. Using Excel's chart wizard, I could draw a simple bar chart of software errors:
How many of Tufte's rules does this chart violate? Lots.
If we clean all of this up, we get a more pleasing chart:
It's getting better, but is there a better order to this data other than project number? Yes, of course: descending error rates!
This chart is an improvement, but we still have too much background data ink. The chart scale also enhances the difference between the highest and lowest project defect ratio. The pareto chart can do an even better job of presenting this information:
The pareto chart changes the scale for the bars and adds a cumulative line graph to show overall contribution of each bar. The pareto chart also uses color to draw our eye to the most error prone project (#1). Now I still might want to know more about the projects: was project 1 small and project 8 huge (i.e., more errors). It might be more interesting to look at the total number of errors, not just the error rate. Here's My PointThe goal of every graph is to tell a story, advance an idea, or make a business case for spending money or taking action. The goal is to simplify and clarify the presentation of your story using the design principles Tufte expresses so elegantly in his book: What is to be sought in designs for the diplay of information is the clear portreayal of complexity. Not the complication of the simple. If you're interested, order a copy from Amazon: The Visual Display of Quantitative Information.
To purchase the QI Macros
Please ask a handful of friends to download the trial version. Here's what to say: Need easy to learn, easy to use software for Lean Six Sigma and SPC that works right in Microsoft Excel? Test drive the QI Macros! Find out more at www.qimacros.com/excel-spc-software.html. Get a 30-day trial at www.qimacros.com/free-spc-software.html. Going to a meeting of quality professionals? We can send you as many QI Macros 30-day trial CDs as you need. Just send an email with the address and quantities needed to orders@qimacros.com. |
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