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But trouble is that Samson refused to think himself seriously or to resume Demiurge seriously.

Why not? There are a zillion good solutions worth mentioning.

I focused on Excel here because I wanted to try the inline sparkline thing.

Your comment prompted me to check if GSheets can insert a sparkline image from an URL like http://bitworking.org/projects/sparklines/spark.cgi?type=smooth&d=88,84,82,92,82,86,66,82,44,64,66,88,96,80,24,26,14,0,0,26,8,6,6,24,52,66,36,6,10,14,30&height=20&limits=0,100&min-m=false&max-m=false&last-m=false&min-color=red&max-color=blue&last-color=green&step=2.

It can, but onto the sheet not into a cell.

Putting multiple sparklines into a column, and then sorting on other columns, was a nice aspect of this experiment, and one that I’ve yet to replicate online.

Yes. But In Resolver I couldn’t, among other things, use an Excel sparkline add-in, and that was part of what I wanted to explore.

There’s nothing insane about it at all. Disney made animations a cel at a time. Pixar still does, thanks to automation.

I often want to see a “small multiples” display as a movie. One not-entirely-successful experiment along those lines:

http://weblog.infoworld.com/udell/2004/11/03.html

In general, I’m fascinated by the evolution toward animated infographics that only really work interactively:

http://move.rmi.org/features/oilmap.html

This is cool. And yet, I would like to see more granularity. You ought to be able to bookmark any frame for reference. You ought to be able to grab the sequence of frames and render it in alternate ways, even as a printed “small multiples” poster.

JSON is a beautiful thing. But when we of the geek tribe discuss the pros and cons of JSON vs XML vs CSV, we’re off in the weeds.

The problems I ran into here have nothing to do with delivery format. It’s all in the data management. As we saw here, typos, variant encodings, and format inconsistencies were expressed identically in HTML and XLS, and would be expressed the same way in JSON or XML or any other deliver format.

We need to give people more upstream assistance so they can avoid the typos, variant encodings, and format inconsistencies in the first place.

Of course Jeff Jonas would say this is a good thing. This cloud of associations is a better definition of the entity!

I have looked at GeoCommons before, very nice!

How would you use it to compare, say, CPI 2008 vs world income inequality?

I just tried that, and could not come up with a visualization I liked. Would be interested to see your solution.

http://www.juiceanalytics.com/writing/why-make-100-charts-when-one-will-do/

This changes the data underneath a chart allowing you to use one chart to display hundreds of data series.

You can then use VB Chart.Export (not sure exactly what the function call is) to write each of those charts out to hundreds of GIF images. Then include those charts in your HTML.

We’ve used this successfully a number of times, the most extreme example being this video:

http://www.juiceanalytics.com/writing/extreme-excel-charts/

The sheer insanity of that video still makes me laugh.

Anyway, the main thing I wanted to bring up was proposing to use an emerging standard: JSON Rest. I’m in active development on a project using the Dojo Toolkit, and the folks over there are pioneering ways of representing data in ways that become easy to consume and manipulate. The Dojo DataGrid can get plugged into a variety of data formats, but the fastest/easiest is a simple javascript array of rows, with each row an object with each field name and field data. Publishing data in this way, while not necessarily improving your experience of getting it into Excel, would greatly lower the barriers to remixing from other sites…

A thought, anyway…

Special Characters galore and its Siamese twin Structured Data.

Of course, it’s also possible for various services to wrangle this data and offer it in more broadly used formats.

For example, we have the CPI for several years on GeoCommons. Download as Shapefile, KML, and CSV – or visualize against other open data.