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Any set of figures needs adjusting before it can be usefully reported | Ben Goldacre | Comment is free Fox News was excited: "Unplanned children develop more slowly, study finds." The Telegraph was equally shrill in its headline ("IVF children have bigger vocabulary than unplanned children").
Data.gov.uk has become one of the finest national open data initiatives in the world - it now has more data than the mighty data.gov in the US, with 4,223 datasets, compared to 2,876 over the Atlantic. It's not perfect - far too many links take you to front pages on other sites, rather than the data itself. It could also do with more help for the less-experienced user, witness the multitude of downloads on the Treasury's Combined Online Information System (COINS) dataset (http://data.gov.uk/dataset/coins). But nevertheless, what a resource. And where it really comes into its own is in the publication of immense datasets previously kept within the confines of the civil service, many of which show highly local data. So, if I had to pick my top ten data.gov.uk datasets here is where I would start: My top ten data.gov.uk datasets - a guest post by Simon Rogers
Marathon 2010 A 24-hour student data visualization competition Click here to download Visualizing Marathon 2010 Poster. Welcome Visualizing.org is proud to have held the inaugural Visualizing Marathon: a 24-hour student data visualization competition. Inspired by robotics competitions and science fairs, the Marathon was created to give design students an opportunity to collaborate and use design to help tackle real-world issues.
Last week, a series of media headlines suggested that immigrants were taking jobs away from British people as the economy enters recovery. These stories were based in part on new ONS statistics, bolstered in some of the papers by reference to a report from MigrationWatch which purported to show that recent immigration to the UK has caused higher unemployment. I wrote here about why these stories were misleading, and explained that the MigrationWatch report had failed to demonstrate the causal link claimed by the headline on its press release ("Immigration has damaged employment prospects for British workers", MigrationWatch press release, 12 August). Why MigrationWatch is wrong — a plea for a more robust debate on immigration
Doctor Who: Every single journey through time detailed detailed by Information is Beautiful. As a spreadsheet | Television & radio Doctor Who time travels of the Doctor: Information is Beautiful gets the data - what can you do?
A novel map of the internet created by Marián Boguñá and colleagues at the University of Barcelona, Spain, could help make network glitches a thing of the past. Escher-like internet map could speed online traffic - tech - 08 September 2010
Statistics How To
information is beautiful
How to visualize data with cartoonish faces ala Chernoff FlowingData reader Chris asks: I was wondering, have you ever considered doing a Chernoff faces tutorial for R? I think Chernoff faces are pretty interesting and I haven't seen much about them on the web. This wasn't the first time someone's asked how to make Chernoff faces, so I did a quick search. Guess what.
Why visualise data? In the introduction to his classic text, The Visual Display of Quantitative Information , Edward Tufte answers this question in three words. “Graphics data”. Why visualise data? | seeing data
Problem solving flowchart (slightly crass)
Stochastic comes from the Greek word στόχος, which means "aim". It also denotes a target stick; the pattern of arrows around a target stick stuck in a hillside is representative of what is stochastic. Mathematical theory The use of the term stochastic to mean based on the theory of probability goes back to a 1917 publication by Ladislaus Bortkiewicz (1868-1931). Bortkiewicz used it in the sense of making conjectures that the Greek term has borne since the days of the ancient philosophers, and after the title of Ars Conjectandi that Jakob Bernoulli gave to his work (published in 1713) on probability theory. Stochastic
Randomness There was a query on the SAS mailing list today - someone got inconsistent results for confidence intervals between Excel and SAS. In Excel, they were using the confidence() function, which I'd not come across before. And I'm glad about that. See, to calculate a confidence interval, you multiply the standard error of the distribution for the critical value from the t-distribution. You can find that value using (say) R, with the qt() function or Excel, with the tinv() function. The t-distribution approximates the normal distribution as the sample size increases - you need a sample size of infinity for them to be exactly the same, but if the same size is large enough, then it's close.
Skyrails Blog Someone finally (thanks Christian) sent a mail in the skyrails-public mailing list, asking some questions, so I answered in the mailing list.