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This sort of visualization may let me replace bar charts. The panel or facet approach to interleaved discrete histograms might be good for on-screen browsing, but this sort of plot might be easier on the printer and ink supply.

Discussion in Diaspora* post comments provides motivation to explore more code and presentation. (fn:1~

Now I have to see about getting these separate images aligned into one eye-span for analytical viewing.

code

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DrRacket is great for checking code developed with Emacs geiser-mode. After pasting the text from and Emacs buffer and clicking the “Run” button, DrRacket reminds me of all the definitions from previous scripts and REPL experiments that never made it into the file.

DrRacket Code and Plots for Interleaved Discrete-Histograms

This code is still clumsy, the process isn't clear enough in my mind for elegant solutions. But working through the process is great for learning. This may be a way to re-discover the faceting that R/ggplot2 makes possible. I think this is the best way to get a feel for how an individual teachers results are situated in relation to the groups: the individual's department and school.

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Racket plot and scribble/html with stacked-histograms and output-xml are working well. It was fun to play with plot keywords and think about printing the data visualizations, but for quick comparisons in the browser the defaults seem better.

I imagine DrRacket will make the code below work with a Windows computer too. How would Windows users be able to find their home directory, Racket's (current-directory) and get their bowser to show “/FD201801/FD-Anketo-Results.html”... The file-separator slashes are probably different too. But that sort of detail can be overcome when a Windows user shows an interest in testing the code and visualization...

Screenshot of DrRacket with code and plotted images on generated page in browser window

It was good training to work with associative lists, to use two a-lists to generate a new a-list. Using a-lists allows for the generation of useful titles and file names that match the data used for the visualization.

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