Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/31/)
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 29 to November 4 finds Google search voting predictions from @datavized, hurricane maps reimagined by @_KarenHao, and interactive commuter data from @WDR in Germany.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 5 to November 11 finds employment problems in the UK from @FinancialTimes, Polish data counter-narratives with @gazeta_wyborcza, cool geospatial analysis toys from @Uber, plus the launches of new data labs with @AlterEco_, data articles with @fstalph and @eborgesrey and data newsletters with @voydorg_en.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 19 to 25 finds society’s most urgent concerns in the textual data of a long-standing @dearabby column, a kerfuffle over @The Economist’s regional inequality graph, dangerous pit toilets in Africa highlighted by @SECTION27news and a gift of sorts from @politico, who open sourced their elections data management system.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 26 to December 2 finds @VRCCrimCam mapping London’s medieval murder hotspots, @geckoboard illustrating common data fallacies to avoid, @ddjournalism teases the beta launch of the Data Journalism Handbook 2.0, and @GoogleNewsInit displays its data journalism courses.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 3 to 9 finds @BuzzFeedNews mapping wildfire prone areas across America, @dwnews dissecting the value of insurance against climate change, the release of @infobeautyaward winners, and @jschwabish teaching fourth grade kids the wonders of data visualization in fun and inventive ways.
It’s been a great year for data journalism and visualizations. GIJN’s Top 10 #ddj series captured snapshots of what’s popular on Twitter among the global data journalism community for 46 weeks in 2018. For this edition, we asked NodeXL to map 2018’s most popular #ddj tweets from January 1 to December 11 and the results are in. This year’s most popular tweets include @FinancialTimes’ ever-popular Visual Vocabulary chart, @Google’s Dataset Search, @hnrklndbrg’s eclectic visualizations, and @SZ’s analysis of Germany’s parliamentarians using laughter as a debate weapon.
Over the last few years, data and data analysis have taken on a new quality. Data and information is now a tool for creating beautiful visuals. What used to be simple charts and scatter plots are now complex and creative pieces of data art — some beautiful enough to hang up on your wall. Visme picked a collection of the best data visualizations of 2018.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 31, 2018 to Jan 6, 2019 finds experts sharing their thoughts on machine learning in journalism with @storybench, @funkeinterativ and @webk1d’s useful tool to merge datasets, @pewresearch’s overview of female under-representation in online image searches, and an analysis by @EDNNews on corpses bodies sent back to El Salvador.
Inspired by the Graphic Continuum by Jon Schwabish and Severino Ribeca, the Financial Times graphic team came up with their own neat chart of visualizations. The Visual Vocabulary is a guide to help journalists pick the right type of visualization for their story.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 7 to 13, 2019 finds @SZ’s analysis revealing how children’s books perpetuate gender stereotypes, @A24COM mapping the hottest crime spots and times in Buenos Aires, @dw_akademie offering a data journalism fellowship opportunity, and great chances to win awards from @WorldGovSummit and @GENinnovate’s Data Journalism Awards.