Tag: Data Visualization

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XKCD Dominant Color Map in JMP

In March, I wrote about using visualizations in JMP to inspect the quality of a couple of color name data sets (Part 1 & Part 2). This week, xkcd author Randall Munroe has posted the results of his own color name survey, including some demographic information about each participant. He

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Visual Data Quality with Named Colors in JMP, Part 2

After my previous exploration of colors and names revealed inconsistencies in the Wikipedia color data, I looked around for a more authoritative source of color names. No luck finding an oracle, but I did find another interesting data set. Where the Wikipedia table provided color values for a given set

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Visual Data Quality with Named Colors in JMP

In "How many words for red?" (and part 2), blogger Sean Roberts shows some interesting visuals of named colors. He's trying to correlate the number of names of a hue with the different perceptual space of each hue from a psychology angle. I'm always interested when the raw data for

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Science Online 2010 Conference

The fourth Science Online conference just wrapped up, and it was as lively as ever. Unfortunately, my attendance was limited since I was coming down with a cold. I attended only a couple of sessions and tried to keep interactions to a minimum, which was hard to do at such

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Solar Panel Output Versus Temperature

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

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Solar Array Data, January Through August

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

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Vector Plots in JMP

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

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Solar Array Surprises

As you may have heard, SAS has a 1 megawatt solar farm in operation. Naturally, I wanted to see what kind of data was available, and it turns out the power output is recorded every 15 minutes, even during the night (who knows -- maybe we'll get some power from

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For Super Bowl Fans: Visualizing NFL Scores with JMP

Some rare NFL scores, such as 11-10, have made the news recently (Wall Street Journal article), and resident sports expert Bob Hickey thought about looking at the scores in JMP. Pro-Football-Reference has lots of views into the historical scores data but no one place we could find that supplied all

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3-D Pie Charts in JMP

One of the discussion topics that generated a lot of interest in my Discovery 2008 conference session on Presentation Quality Graphics was the use of special effects such as adding a third dimension to two-dimensional plots. Conventional wisdom in the data visualization community is that these effects add no value

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