background preloader

All Statistics

All Statistics

http://www.oecd-ilibrary.org/statistics

How British do you feel? Visualised Visualising data online and in a newspaper is like the difference between speaking Spanish and conversing in French; there have the same roots and are ostensibly similar - but in practice are completely different. So it's proven with the results of our online Britishness survey, where we asked readers to rate how they felt about their nationality. The results provide a fascinating insight into how different parts of the UK really feel about the nation as a whole. Scraping for Journalism: A Guide for Collecting Data Photo by Dan Nguyen/ProPublica Our Dollars for Docs news application 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 was actually a previous Adobe Flash incarnation of Eli Lilly’s disclosure site.

Demographic and Social Statistics Social indicators covering a wide range of subject-matter fields are compiled by the Statistics Division, Department of Economic and Social Affairs of the United Nations Secretariat, from many national and international sources. The indicators presented here consist mainly of the minimum list which has been proposed for follow-up and monitoring implementation of major United Nations conferences on children, population and development, social development and women. This minimum list is contained in the Report of the Expert Group on the Statistical Implications of Recent Major United Nations Conferences (E/CN.3/AC.1/1996/R.4). Technical background on the development of social indicators is contained in two United Nations publications, Handbook on Social Indicators (United Nations publication, Series F, No. 49, 1989) and Towards a System of Social and Demographic Statistics (United Nations publication, Series F, No. 18, 1975)

Hidden iframe injection attacks [Updated on October 27, 2009 with new a version of the script] It is a shame that after all those posts about security, some of my websites were under attack today. Shoban and Anand emailed me about this today morning (Thanks guys) and I tried to understand what was going on. To my utter disbelief more than 10 websites hosted in the same server were affected by the attack. All the index.* files in the server were infected with a piece of code that loaded a hidden iframe in the page. The WebGenre Blog: The power of genre applied to digital information. By Marina Santini PhD thesis reviewed by Marina Santini Fredrik Olsson, Bootstrapping Named Entity Annotation by Means of Active Machine Learning: A Method for Creating Corpora. Doctoral thesis, University of Gothenburg, 2008

gromgull Local OpenID no help available BibSonomy usertagusergroupauthorconceptBibTeX keysearch:allsearch:gromgull :: gromgull :: What Hashtag. Twitter tool to find any existing hashtag Warning: file_get_contents( [function.file-get-contents]: failed to open stream: HTTP request failed! HTTP/1.0 401 Unauthorized in /usr/home/vhSujqhNu36p/circulorojo.es/web/whathashtag/index.php on line 11 Warning: Invalid argument supplied for foreach() in /usr/home/vhSujqhNu36p/circulorojo.es/web/whathashtag/index.php on line 17 Warning: file_get_contents(

About OverviewThey Rule aims to provide a glimpse of some of the relationships of the US ruling class. It takes as its focus the boards of some of the most powerful U.S. companies, which share many of the same directors. Some individuals sit on 5, 6 or 7 of the top 1000 companies. It allows users to browse through these interlocking directories and run searches on the boards and companies. A user can save a map of connections complete with their annotations and email links to these maps to others. They Rule is a starting point for research about these powerful individuals and corporations.

The WebGenre Blog: The power of genre applied to digital information. By Marina Santini Ontology Learning and Knowledge Discovery Using the Web Hjelm, Hans (2009) Cross-language Ontology Learning. Incorporating and Exploiting Cross-language Data in the Ontology Learning Process.

Related:  Statistics / Data