What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 24 to 30 has @qz comparing the cost of Trump’s golf trips to transgender healthcare, @visualisingdata sharing a chart-making directory and graphics guru @EdwardTufte applying Ezra Pound’s 23 “don’ts” for writing poetry to design.
What’s the global #ddj community tweeting about? Our NodeXL analysis from July 17 to 23 has @ajc intern @stephanierlamm mapping closed data, @zeitonline mapping the path of voluntary rescue boats in the Mediterranean Sea and @PPLAFF on the corruption scandal around Democratic Republic of the Congo President Joseph Kabila.
What’s the global #ddj community tweeting about? Our NodeXL mapping from July 10 to 16 has Dwarshuis on the Airbnb takeover of Amsterdam, @blprnt on taking a systems approach to data and @SPIEGELONLINE and @Correctiv_org on Big Pharma’s payments to doctors.
Whether it’s tables of data embedded in reports or spreadsheets saved as PDFs, journalists get lots of data in PDF format. But until you get that data into a spreadsheet, there’s not much you can do with it. Luckily, there are a few great tools that can liberate your data quickly and with relative ease.
What’s the global #ddj community tweeting about? Our NodeXL mapping from July 3 to July 9 has @paulbradshaw with his top picks for data journalism stories for audio, @br_data and @BR_Recherche with a podcast on the tax paradise of Madeira and @EngnRoom with an introductory guide to investigative web research.
You don’t need the resources of The New York Times to create a data journalism team in your newsroom. But you do need to think out the structure. Here are 10 things you should consider if you are considering setting up your own team.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 26 to July 2 includes a new data journalism handbook by @smfrogers, timeless hits and blocked tweets from @SPIEGELONLINE and data visualization pitfalls to avoid by @tamaramunzner.
Wondering how to best adapt data journalism for broadcast? UK online journalism expert Paul Bradshaw has done a round-up of impressive examples from five countries — a primer on exploring data storytelling for video and television.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 19 to 25 includes Germany’s housing discrimination problem by @SPIEGELONLINE and @br_data, data on police interaction with the public from @StanfordEng and @StanfordJourn and a report on big data for gender from @Data2X.
Data on government workforces might not sound that exciting — that is until you consider the trove of information it can help uncover. Here’s how journalists worldwide are using FOI requests to dig into great stories.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 12 to 18 includes Google Images quilts from @verge, nerd journalism by @albertocairo, mapping of German’s political party strongholds from @morgenpost and misleading election graphics from @los_replicantes.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 5 to 11 includes #VisualTrumpery from @mcrosasb, analysis of Theresa May’s election disaster by @GuardianVisuals, dataviz structuring strategies from @eagereyes, and school enrollment woes in Delhi from @htTweets.
At the forefront of digital journalism best practices is collaboration, open source and native mobile. That’s what researchers at Northeastern University School of Journalism’s Media Innovation Program found after 72 newsrooms interviews spotlighting the intersection of data-oriented reporting and design/visualization.
In our latest look at FOIA around the world, we examine the state of open data sets. According to the new report by the World Wide Web Foundation, the news is not good.
What’s the #ddj community tweeting about? Our NodeXL mapping from May 29 to June 4 includes research on social media’s fake propaganda from @ddjournalism, mapping global refugee flow from @FastCompany and the tax bracket racket from @voxdotcom.
Time to get your mapping game on. Here are a list of tools to help journalists get the picture, from the easy-to-use My Maps to custom maps for the more experienced, like Color Brewer and Mapbox.
What’s the #ddj community tweeting about? Our NodeXL mapping from May 22 to 28 includes what it’s like to code as a journalist from @CJR, artists and designers visualizing Google search data from @FastCoDesign, the Data Journalism Awards 2017 shortlist from @mberzosa and Austria’s changing job market from @derStandardat.
While your story can be true, it might be wrong. That’s what New York Times data journalist Robert Gebeloff explained at the recent European Investigative Journalism Conference & Dataharvest. Check out some of Gebleoff’s tips, and a data journalism checklist.
What has the #ddj community been tweeting about? Our NodeXL mapping from May 15-21 includes North Korea’s targets (@PostGraphics), Wannacry’s ransomware spoils in real time (@TA_Interaktiv), Berlin’s space use in a gorgeous map (@tagesspiegel) and the White House guests (@Poynter & @Politico).
Here are top data journalism tweets for May 8-14, per our NodeXL mapping: race against fastest marathoner (@alastairotter); mapping the ransomware attacks (@nytimes); French election data dive (@DataspotTLG and @ftdata); Alberto Cairo interview (@chytomo); and more.
Here are top data journalism tweets for May 1-7, per our NodeXL mapping: delayed cherry blossoms (@TheEconomist); dataviz how-to (@albertocairo); 20 million starving (@washingtonpost); Munich route planner code (@Munichrocker); FB German filter bubble (@SZ); Open Data Index (@pinardag); and more.
There is a huge amount of data available on pollution and disease caused by the Matanza River – widely known as River Riachuelo – the problem was transforming it into information that those affected could easily understand. In a special multimedia report, La Nación used open data and data visualization to illustrate the extent of the problem.
Here are top data journalism tweets for Apr 24-30, per our NodeXL mapping: draw it yourself interactives (@br_data); visualizing Google searches (@albertocairo); opinion polls analysis (@SZ); Politibot’s graphics (@politibot); French election (@BIQdata); ProPublica jobs (@ProPublica); and more.
Here are top data journalism tweets for Apr 17-23, per our NodeXL mapping: French voting (@lamontagne_fr); music festival gender (@pitchfork); mapping US homeless (@FastCompany); Scottish fact checking (@FerretScot); Spanish voting (@Politibot). tilegrams (@bhaskar_vk); & more.
Here are top data journalism tweets for Apr 10-16, per our NodeXL mapping: Brittany’s posh hotels (@dataspotTLG); Flourish #dataviz tool (@FastCoDesign); US health insurance (@NPR); hexagonal Europe (@MusMekh); visual vocabulary (@ftdata); data internships (@ONS); China’s rising water (@kimmelman); & more.
Here are the top data journalism tweets for Apr 3-9, per our NodeXL mapping: #fakenews guide (@PublicDataLab); election bots (@d1gi); data story rules (@surendranb); China climate risk (@nytimes); UK jobs (@sole24ore); #PerugiaPledge (@dw_innovation); & more.
Here are the top data journalism tweets for Mar 27- Apr 2, per our NodeXL mapping: interactive graphics (@driven_by_data); ridiculous news (@twisteddoodles); Malofiej Infographics Awards (@malofiej); Germany’s radio masts (@stimmeonline); Republicans voting with Trump (@FiveThirtyEight); & more.
Here are the top data journalism tweets for March 20-26, per our NodeXL mapping: record low Arctic ice (@NASA); Europe’s STEM gender issue (@MSFTnews); satellite imagery search (@ddjournalism); Western Europe terrorism (@TheEconomist); storm #dataviz (@sciam); data resources (@jschwabish); & more.
