Robert Kosara takes a close look at the “Many Eyes” project, trying to figure out if it’s still going strong or dying on the vine. Since the leaders of the project left a few years ago, I have to admit I haven’t thought about it much nor have I heard much news. His critical analysis seems to indicate a few major problems that could be leading to the site’s slow decline.
Not only are people making mistakes, the lack of collaboration on the site means that few people pick up others’ datasets to create visualizations from, which would increase the number of visualizations per dataset. The idea of social data visualization was that somebody would dig up some data, and then many people could easily create visualizations from it. That isn’t happening on Many Eyes, though. As I was developing my scraper, I saw several copies of Obama’s State of the Union speech appear. The people who were uploading it apparently never checked if that data was already there, but just uploaded their own version. The result is that the majority of datasets that has any visualizations at all has exactly one. Datasets with more than one view on them are quite rare, while a clear majority of datasets has no views at all.
Quo Vadis, Many Eyes? | eagereyes.
A great find by the Guardian, xxnapoleonsolo on Many Eyes has created an interactive chart of all Doctor Who Villians in the entire history of the long-running show.
Here’s a list of all the Doctor Who villains there have ever been since the very first episode in 1963. Whether it’s to help you put your bet on what will make a reappearance next series or just to satisfy hard-core Whovians, hopefully this will help you out.
The chart however doesn’t include villains exclusively in Doctor Who books, audio books and spin-off shows.
Circle Size corresponds to the number of appearances in the series.
via Every Doctor Who villain since 1963 – as a spreadsheet and visualised | News | guardian.co.uk.
Over at InsideHPC, John West has taken the data from the most recent Top500 list and pushed it through IBM’s ManyEyes and create a collection of visualizations that show how the US has an overwhelming majority in the Supercomputing industry.
The data were gathered as follows: the Top500 website itself provides a list of Rpeak and system count by country. I used the data from the June 2009 list. For the chart that shows distance from the equator, I used the latitude value from the Google Maps centered view that results when you search on a country name.
Check it out, and see if you can come up with any visualizations of your own.
via Pictures of technological imbalance via the Top500 | insideHPC.com.
Someone just pointed me to a great visualization over at ManyEyes of layoff figures in the United States. The visualization is from March so the data is about 6 months out of date but still useful.
Many Eyes: Layoffs in the United States and more (3/6, updated).