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Any set of figures needs adjusting before it can be usefully reported | Ben Goldacre | Comment is free | The Guardian

http://www.guardian.co.uk/commentisfree/2011/aug/05/bad-science-adjusting-figures Three tables showing rates of lung cancer among drinkers and non-drinkers, then adjusted for smokers and non-smokers 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 "). And the British Medical Journal press release drove it all: " Children born after an unwanted pregnancy are slower to develop ." The last two, at least, made a good effort to explain that this effect disappeared when the researchers accounted for social and demographic factors. But was there ever any point in reporting the raw finding, from before this correction was made? I will now demonstrate, with a nerdy table illustration, how you correct for things such as social and demographic factors.

Data journalism and data visualization from the Datablog | News | guardian.co.uk

Six soldiers who were killed in a bomb blast in Afghanistan: top row left to right, Sergeant Nigel Coupe, Corporal Jake Hartley and Private Anthony Frampton, with bottom row left to right, Private Christopher Kershaw, Private Daniel Wade and Private Daniel Wilford Photograph: MOD/PA What is the human cost of the war in Afghanistan for British forces? http://www.guardian.co.uk/news/datablog
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: http://data.gov.uk/blog/my-top-ten-datagovuk-datasets-guest-post-simon-rogers

My top ten data.gov.uk datasets - a guest post by Simon Rogers | data.gov.uk

http://www.visualizing.org/marathon2010

Marathon 2010 | visualizing.org

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. It was a fun and intense weekend full of speakers, performances, and of course, the actual competition.
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).

New Statesman - Why MigrationWatch is wrong — a plea for a more robust debate on immigration

http://www.newstatesman.com/blogs/the-staggers/2010/08/immigration-migrationwatch
http://datajournalism.stanford.edu/

Journalism in the Age of Data: A Video Report on Data Visualization by Geoff McGhee

// Provide alternate content for browsers that do not support scripting // or for those that have scripting disabled. Alternate HTML content should be placed here. This content requires the Adobe Flash Player. Get Flash Journalists are coping with the rising information flood by borrowing data visualization techniques from computer scientists, researchers and artists. Some newsrooms are already beginning to retool their staffs and systems to prepare for a future in which data becomes a medium.
Warning: this comic occasionally contains strong language (which may be unsuitable for children), unusual humor (which may be unsuitable for adults), and advanced mathematics (which may be unsuitable for liberal-arts majors).

xkcd: Conditional Risk

http://xkcd.com/
http://www.guardian.co.uk/news/datablog/2010/aug/20/doctor-who-time-travel-information-is-beautiful

Doctor Who: Every single journey through time detailed detailed by Information is Beautiful. As a spreadsheet | Television & radio | guardian.co.uk

Doctor Who time travels of the Doctor: Information is Beautiful gets the data - what can you do? Illustration: David McCandless for the Guardian All the time, though, I really wanted to do a mega-visualisation of all of the Time Lord's journeys.
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. Boguñá squeezed the entire network into a disc using hyperbolic geometry, more familiar to us through the circular mosaic-like artworks of M. C. http://www.newscientist.com/article/dn19420-escherlike-internet-map-could-speed-online-traffic.html

Escher-like internet map could speed online traffic - tech - 08 September 2010 - New Scientist

Research tips

I have thought quite a lot about includ­ing regres­sors (i.e. covari­ates) in expo­nen­tial smooth­ing ( ETS ) mod­els, and I have done it a cou­ple of times in my pub­lished work. See my 2008 expo­nen­tial smooth­ing book (chap­ter 9) and my 2008 Tourism Man­age­ment paper . How­ever, there are some the­o­ret­i­cal issues with these approaches, which have come to light through the research of Ahmad Farid Osman , one of our PhD stu­dents at Monash Uni­ver­sity. Basi­cally, they are never fore­castable in the sense explained in Sec­tion 10.2 my 2008 book (fore­casta­bil­ity is the ETS equiv­a­lent of invert­ibil­ity in ARIMA models).

Statistics How To

My name is Stephanie and I have worked as an adjunct professor of mathematics for Jacksonville University and Florida State College at Jacksonville. This website (and its sister site, Calculus How To , which is aimed at calculus students) was set up primarily to help my students in STA2023 to understand elementary statistics . However, most of the articles are applicable to any intro stats course, including AP statistics. If you are visiting the site for the first time, you’ll find the Topic Index a great place to start.
information is beautiful

statistics blogs

I worked at the U.S. Naval Research Laboratory for four summers during high school and college. I spent much of my time writing a computer program to do thermal analysis for an experiment that we put on the space shuttle.

Statistical modeling, causal inference, and social science: Blog of Andrew Gelman's research group, featuring Bayesian statistics, multilevel modeling, causal inference, political science, decision theory, public health, sociology, economics, and literatu

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.