Top Ten #ddj: The Week’s Most Popular Data Journalism Links

What’s the data-driven journalism crowd tweeting about? Here are the Top Ten links for April 10-16: must-read books for #ddj beginners, data tools for covering elections, resources for working with open data, mapping the Internet in Europe, and an upcoming bootcamp in Pakistan.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.