What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 11 to 18 finds learning opportunities from @utknightcenter and @WorldResources, while @Tagesspiegel and @correctiv_org ask who owns Berlin’s housing and @LacePadilla examines what makes a good visualization.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 4 to 10 finds exciting releases with a document analysis tool by @ICIJorg and an audio-driven visualization tool by @f_l_o_u_r_i_s_h, while @kloopnews highlights domestic labour imbalance in Kyrgyzstan and @davidottewell emphasizes that data journalism is not just for nerds in a corner.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.
Journalists and data experts were busy last year attempting to quantify and analyze the criminal justice machine in the United States. Storybench cut through the noise and pulled out these 10 visualizations that best explain the world of criminal justice.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 21 to 27 finds @schemadesign and @GoogleTrends teaming up to visualize news cycles in 2018, the @washingtonpost’s flyover tour of the entire US-Mexico border and two interesting football-related visualizations: @ftblsm’s history of football and @NZZ’s analysis of whether football coaches Jose Mourinho and Julen Lopetegui should have been sacked.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 14 to 20 finds a @FinancialTimes exposé of possible electoral fraud in Congo, @sxywu’s beautiful visualization of interaction data between a museum and the public, and @maartenzam’s the ultimate data visualization list to end all lists.
With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.
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.
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 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.
More than ever, investigative journalists need to understand electronic data to do their jobs. To find, extract, analyze and tell stories, increasingly they need to deal with spreadsheets, databases, and visualizations. Nils Mulvad (https://x.com/nmulvad) is an Investigative journalist based in Denmark, who has worked with data journalism for more than 20 years. Visit GIJN’s resource […]
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.
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.
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.
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 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 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 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 October 22 to 28 finds @NateSilver538 talking about election forecasting, @BBCNews highlighting the prevalence of fast food outlets in the UK, @washingtonpost comparing how tough it is for Americans to vote by state, and @business and @HowWeGetToNext on battling for fresh air in India and Europe.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 15 to 21 finds @Esri’s @AllenCarroll talking the power of maps in storytelling, @visualizingdata’s catalogue of charts and corresponding tools to help information designers, and @ericwilliamlin’s deep dive into the data of casting decisions in Shakespearean plays since the 1900s.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Oct 8 to 14 finds 25 inspirational data visualizations collated by @VismeApp, a @nytimes op-ed by climate scientists warning of the future dangers of heat and humidity combined, @FT maps of New York’s glut of luxury residences and @ejcnet with veteran data journalists on web scraping.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 17 to 23 finds numerous data to map, from @NatGeo’s migration of billions of birds to @morgenpost’s Berlin schools and @A24COM’s internet access in Argentina. There’s also @dhanalytics’ tips on improving data tables and @mcrosasb on two useful chatbots.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 10 to 16 finds @miriamquick analyzing @Spotify data to rank the top five saddest songs, @Code4Africa creates a tool to measure gender pay gap in African countries, @fedfragapane shares beautiful illustrations on Instagram, #edjnet finds Italy, Turkey and Greece topping the list of Europe’s xenophobic countries, and @TaylorMirf highlights the low rates of immunizations in Washington state.
Economist Jonathan Schwabish created a handy data visualization cheatsheet with straightforward key principles to adhere to when creating data visualizations. Remember: avoid 3D, make labels easy to read and try small multiples.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 3 to 9 finds @FiveThirtyEight attacked by the green-eyed monster with their equivalent of Bloomberg’s “Jealousy List,” @daswasfehlt breaks down Austria’s export of arms, @GoogleAI announces the beta launch of Google Datasets Search, and @SZ documents how climate change is wreaking havoc on temperatures in Germany but boosting ice-cream sales.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 27 to Sept 2 finds @nytclimate personalizing climate change, @npr fact-checking the US Education Department’s school shooting data, @dwnews calculating the cost of travel to the environment, and @junkcharts dissecting the strengths of Thailand cave rescue data visualizations.
For five years, about 100 people processed 10,236 datasets from 592 sources and documented 353,531 facts for the Memory and Conflict Observatory, a project that seeks to document the violent events that occurred during the Colombian war. The results can be summarized into a shocking number: 262,197 fatalities over 60 years. Sociologist Andrés Fernando Suárez led the team, and this is what he learned.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 20 to 26 finds @Numerama analyzing the representation of women in @netflix series and finds it lacking, @AJEnglish creating an interactive explainer on how 2 million Muslims make the pilgrimage to Mecca every year, @FT readers brainstorming air pollution solutions for London, and @Bastamag digging into data of @Airbnb — a cash cow for home renters.
