What’s the data-driven journalism crowd tweeting? Here are the top ten links for September 17-24: refugee-crisis dataviz (webk1d); 230 examples of fiscal dataviz; ranking Swiss hospitals (RTSinfo); mapping Berlin (morgenpost); EU iPhones & tax money (zeitonline); and more.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for September 10-17: refugee origins (berlinermorgenpost); #ddj podcast (partiallyd); football players birthplaces (BR_data); EU iPhones & tax money (zeitonline); and data viz guru’s sculpture park (EdwardTufte).
The Internet is an amazing research resource but often discovery of quality reference tools and reports can be challenging, especially when you think about how quickly new resources appear and often disappear. I hope that these columns not only alert you to useful material but will help you build up your own collection of reference resources, which you can save on your own computer, or utilize a tool like The Wayback Machine to archive it for yourself and others.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for September 3-9: Syrian Refugees in Europe (elmundoes); Nukes in Japan (StatisticsViews); Mapping Tennis (Natgeo); Rent Prices as Mountains (datenblog112); and the World’s Fastest Lifts (FT).
What’s the data-driven journalism crowd tweeting? Here are the top ten links for August 26 to September 3: how to think visually (annavitals); beautiful evidence books (EdwardTufte); dating site scam (elespanol); Data Journalism Handbook (ddjournalism); and more.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for August 16 to 27: a dating site’s sad truth (@gizmodo); cops & crime perception (@correctiv); using maps in data viz (@paulbradshaw); end of the Amazon (@InfoAmazonia); and more.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for August 10 to 23: Africa ddj Initiative (@justinarenstein); mapping UK/Ireland pubs (@CityMetric); Amazon’s end (@InfoAmazonia); L.A. trash (@latimes); NSA patents (@alice_corona); Hacktivist toolbox (@POLITICOEurope).
Time for a new collection of resources and research reports. Today’s roundup features two online databases — one on nuclear reactors, the other on health — and the latest international research reports from Brussels, London, and Washington. Global Health Facts from the Kaiser Family Foundation is an organized and frequently updated collection of browsable and searchable data.
Web scraping is a way to extract information presented on websites. As I explained it in the first installment of this article, web scraping is used by many companies. It’s also a great tool for reporters who know how to code, since more and more public institutions publish their data on their websites.
With web scrapers, which are also called “bots,” it’s possible to gather large amounts of data for stories. But what are the ethical rules that reporters have to follow while web scraping?
$8 billion in just a few hours earlier this year? It was because of a web scraper, a tool companies use—as do many data reporters. A web scraper is simply a computer program that reads the HTML code from webpages, and analyze it. With such a program, or “bot,” it’s possible to extract data and information from websites.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for July 23 to 30: mapping money and doctors in Germany (@ZEITONLINE); maps at the Berliner Morgenpost (@moklick); #ddj for francophone African journalists (@Afronline); carsharing in Berlin (@tagesspiegel); and more.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for July 16 to 23: 2490 D3 Visualizations (@d3visualization); corrupt techniques on evidence presentation (@edwardtufte); examples of fiscal data visualization (@OKFN); Australia’s mining footprint (@ICIJorg); and more.
What’s the data-driven journalism crowd tweeting? Here are the top ten links for July 9 to 16: +300 sites with free geographic datasets (@sciremotesense ); graphing German YouTube (@SPIEGELOLINE); Australia’s mining footprint (@ICIJorg); democratizing data (OKFN); and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for Jul 2 – 9: San Fermin’s Running of the Bulls (@elmundodata); democratizing the data revolution (@OKFN); #ddj at Netzwerk Recheche’s Conference (@berndoswald); prison phone calls (@IBTimes); 12 tips for #ddj; and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for June 26- July 2: Lobbyists in Brussels (@POLITICOEurope); +200 data visualizations on fiscal data (@OKFN); European population growth (@morgenpost); election costs in Mexico (@Univ_Data); and more.
Nils Mulvad, co-founder and board member of GIJN, and Helena Bengtsson, editor for the Data Projects Team at the Guardian, share twelve tips on how to use data for stories. These were presented at the 2015 Netzwerk Recherche Conference in Hamburg.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for June 18-26: The Migrant Files’ Money Trail; global access to medicine (@civio); the German arms trade (@welt); Swiss Election Data (@DataLeTemps); Mapping Rents in Munich (@SZ); and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for Jun 11-18: mapping global tax evasion (@grandjeanmartin), vote for best data journalism site (@GENinnovate); data viz examples (@visualoop, @OKFN), data retention (@Frontal21) and more.
What I see in Africa open data today is a very immature movement/industry totally dependent on international aid funding, local heroic leadership against almost impossible odds, and absolutely no governmental institutional commitments. Governments are not funding programs and deploying talented resources on their own and there is no public demand. Without international funding there would be no open data programs in Africa today and a movement without indigenous will and commitment cannot stand on its own. Why?
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for Jun 4-11: 60 Years of European World Cup Data (@elmundoes); 4 cheap ways to put ddj in newsrooms (@IJNet); ICIJ’s data team (@ICIJorg); events in Argentina (@HacksHackersBA) & Italy @Glocalnews); @knightfdn grants.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for May 29-June 4: Free Software and Tools for Investigative Journalists (@DDJ_Tools); Debunking ddj Myths (@jsource); The Art & Science of ddj, German Rent Index (@zeitonline), Swiss Election Dataviz (@srfdata) and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for May 22-29: Atlas of Germany’s far right (@rechtesland), same-sex marriage (@insightnewslab), Code for Africa Fellowships (@ICFJ), World Bank resettlements (@ICIJorg), open data conference (@opendatacon), and more.
We’re back with another selection of web resources and reports that might be of interest to journalists around the world. On the list this week: new reports from the International Labour Organization, Congressional Research Service, and UK House of Commons; and tools to search domain ownership, load tweets into a spreadsheet, and search open data. Good hunting!
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for May 14-22: document mining for journos (@pudo), R & rvest web scraping (@Computerworld), arms exports (@srfdata), Spain elections (@elmundoes), German hospitals (@ARDde), a “magical Piano app,” and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for May 8-14: Seven reasons to use dot graphs (@maartenzam), 5 truths about the UK election (@SPIEGELONLINE), ICIJ’s #luxleaks (@cabralens), history of men’s tennis (@duc_qn), U-shaped challenges (Data Colada) and more.
What’s the data-driven journalism crowd tweeting? Here are the Top Ten links for May 1-8: Easy-to-use historical maps (@wired); Lobbyradar (@ZDF); @GENdjawards shortlist gradients+news graphics (@EdwardTufte); network analysis tutorial (@cguibourg); Saudi death penalty (@jeune_afrique), and more.
