The Old Reader Miniflux - Minimalist RSS Reader Global alcohol consumption Having looked at the global patterns of consumption of milk and cheese, meat and fish, as well as tea and coffee, the GeoCurrents will now conclude this mini-series with a look at alcohol. As the maps on the left show, alcohol drinking habits vary drastically around the world. Such maps, however, need to be regarded with some skepticism. The blue-colored map above supposedly depicts data from 2008, but it appears to be incorrect in several areas. According to the WHO report, global consumption in 2005 amounted to the equivalent of 6.13 liters of pure alcohol per person (aged 15 years or older). One surprising figure is the relatively low level of alcohol consumption in Norway, where less than 8 liters per capita are consumed annually, compared to over 13 liters in Denmark, over 12 liters in Finland, and over 10 liters in Sweden. In the New World, Argentina and Australia, both major wine producers, lead the way with 10 or more liters consumed per capita annually.
Flux RSS [Zotero Documentation] Translations of this page: Les flux RSS sont un excellent moyen de découvrir de nouvelles thématiques. Grâce aux flux, vous pouvez vous abonner aux mises à jour d'une revue, d'un site web, d'un éditeur, d'une institution, d'un groupe de recherche ou de toute autre source et trouver rapidement de nouveaux articles ou travaux. Si vous trouvez un article dans le flux d'une publication que vous souhaitez enregistrer et lire plus tard, vous pouvez l'ajouter à votre bibliothèque Zotero en un clic. S'abonner à des flux Pour vous abonner à un flux, cliquez sur le bouton nouveau Flux au-dessus du volet de gauche dans la fenêtre Zotero. ) ou cherchez le nom de la revue et “flux RSS” dans un moteur de recherche. Une fois que vous avez trouvé l'URL du flux RSS de votre source, cliquez sur le menu Nouveau flux, puis choisissez “A partir de l'URL…”. Lire des flux Lors de la consultation d'un flux, les éléments non lus sont affichés en gras, tandis que les éléments lus sont affichés en texte normal.
NewsBlur go read Information is Beautiful on how we die | News What were the greatest causes of death in the 20th century, our "worst century"? War? Disease? We gathered and examined mortality data from around the world – from disease to murder to mudslides – then calculated and visualised what killed the most people. The result was a 6m x 2m visualisation art-piece for the Wellcome Collection's free London exhibition,'Death: A Self-Portrait – The Richard Harris Collection'. Download a free hi-res PDF of this image The Data See it all in this dataset: involves rounding, broad estimation and ball-park estimates.There is also some inevitable double-counting which we've marked on the dataset.We used a regression algorithm on some figures to roll back current mortality figures to the beginning of the 20th century. Sources WHO Mortality report (PDF) & app, WHO Global Burden of Disease (PDF), OECD Mortality Stats Concept & design & research About Us More open data Data journalism and data visualisations from the Guardian
Reeder 5 Discover RSS Feeds Multi-Dimensionally · Q-Sensei FeedBooster The Old Reader Finding Nearby Zipcodes using Excel Formulas Posted on March 18th, 2013 in Excel Howtos - 19 comments Recently, I had a peculiar problem. I have a list of zip codes and I wanted to find out nearest zip codes for each of them. Now, If I wanted to find out near by zip codes for one area, I could go and search in Google. But, how to do it for dozens of them? Today, lets understand how you can use Excel (that’s right) to do this automatically. A little background – Excel 2013 Web Formulas In Excel 2013, Microsoft has introduced 3 powerful new formulas. ENCODEURL: to encode web URLs (replaces special characters in URLs with % codes like space becomes %20, / becomes %2F etc…)WEBSERVICE: connects to a webservice / website and fetches response as XML / HTML.FILTERXML: extracts a portion of XML/HTML using specified XPATH. Using these formulas and web services, we can quickly fetch near by zipcodes for any input value. Step 1: Find a web-service that can tell us near by zipcodes Find nearby postal codes. This service is available as XML & JSON.
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