Outils, ressources
Get flash to fully experience Pearltrees
Who enjoys the fastest internet? South Koreans do, according to Ookla- the average South Korean Internet connection is more than 3x faster than the average connection in the US. Eastern European countries like Latvia and Lithuania are also at the top of the pool.
Public Data Explorer
Earlier this year http://babelfish.yahoo.com was shut down. The Pipes translate module relied on this service and has also been deprecated. Pipe developers have been looking for a solution to this gap.
Rewire the web
Prompted in part by a presentation I have to give tomorrow as an OU eLearning community session (I hope some folks turn up – the 90 minute session on Mashing Up the PLE – RSS edition is the only reason I’m going in…), and in part by Scott Leslie’s compelling programme for a similar duration Mashing Up your own PLE session (scene scetting here: Hunting the Wily “PLE” ), I started having a tinker with using Google spreadsheets as for data table screenscraping. So here’s a quick summary of (part of) what I found I could do. The Google spreadsheet function =importHTML(“”,”table”,N) will scrape a table from an HTML web page into a Google spreadsheet. The URL of the target web page, and the target table element both need to be in double quotes. The number N identifies the N’th table in the page (counting starts at 0) as the target table for data scraping.
Data Scraping Wikipedia with Google Spreadsheets
Many Eyes
Try out the newest version of IBM Many Eyes! New site design and layout Find visualization by category and industry New visualization expertise and thought leadership sectionLast night OpenHeatMap creator Pete Warden announced that the tool now allowed you to visualise UK data . I’ve been gleefully playing with the heat-mapping tool today and thought I’d share some pointers on visualising data on a map. This is not a tutorial for OpenHeatMap – Pete’s done a great job of that himself (video below) – but rather an outline of the steps to get some map-ready data in the first place. [youtube:http://www.youtube.com/watch?v=yFy80kMcaRo] 1.
Playing with heat-mapping UK data on OpenHeatMap
Photo by Dan Nguyen/ProPublica Our Dollars for Docs news application [1] lets readers search pharmaceutical company payments to doctors. We’ve written a series of how-to guides explaining how we collected the data. Most of the techniques are within the ability of the moderately experienced programmer. The most difficult-to-scrape site [2] was actually a previous Adobe Flash incarnation [3] of Eli Lilly’s disclosure site.
Scraping for Journalism: A Guide for Collecting Data
CAR 2011 was stuffed full of information, so much so that the only way to keep up with everything has been to keep a log of what people have been sharing.
Data Visualization Tools, Slides and Links from NICAR11 // Ricochet by Chrys Wu
Tutorials
How to map connections with great circles There are various ways to visualize connections, but one of the most intuitive and straightforward ways is to actually connect entities or objects with lines. And when it comes to geographic connections, great circles are a nice way to do this.