What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 8 to 14 finds free font-for-numbers by @InVisionApp, a William Playfair biography book review for @WSJBookReviews and @PublicDataLab’s just-released full version of its fake news field guide.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 1 to 7 has data journalism and data visualization roundups by @ddjournalism and @flowingdata, podcasts by @datastories and @fabrider, as well as an analysis on prices corresponding with ski resort altitudes by @duc_qn.
Payman Taei’s round-up of 15 data visualizations that will not only blow your mind, they will give you a clearer understanding of what makes a great visualization. Feast your eyes on these beauties!
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 4 to 10 has @Reuters documenting the deplorable living conditions at refugee camps in Bangladesh, Financial Times’ @theboysmithy transforming bad charts into useful ones and the impressive work of the 2017 @infobeautyaward winners.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 27 to December 3 has @journocode’s festive data-driven advent calendar with tutorials and interviews, @FT mapping cities at risk of natural disasters affecting property prices, and a #VisualizationUniverse by Google News Lab and Adioma.
Zhimin Huang is widely cited as one of the first people to do data journalism in China. He spoke with Storybench about the state of data journalism in China and his perspective on data accessibility in the country.
Data visualization is constantly changing as new technologies emerge and new techniques are discovered. Data visualization experts Lena Groeger and Jane Pong look at some of the current trends.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 23 to 29 has @fedfragapane and @piaaaac visualizing six asylum seekers’ routes, @Recode breaking down the Gates Foundation’s philanthropic contributions by category and @lisacrost offering tips on how to choose a color palette for choropleth maps.
In Malaysia, the Sinar Project has taken up the challenge of collating patchy government statistics to provide the public, and journalists, with useable data.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 16 to 22 has @Sage_News analyzing data journalism practices over the past four years, data expert @albertocairo weighing in on uncertainty in interpreting graphics, @tristanf listing 12 new digital story formats for news and @R_Graph_Gallery’s inspiring Python Graph Gallery.
As one of Russia’s few data journalists, Anastasia Valeeva has trained dozens of journalists in the former Soviet Union, the Balkans and Europe. Her recent study for the Reuters Institute at Oxford University delved into the ways investigative journalists are using open data in Russia. She spoke to GIJN’s Olga Simanovych about what she found.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 9 to 15 has @RTSinfo looking into flight sharing platform @Wingly_UK, while @srfdata finds millions of fake @instagram followers, @jwyg charts the growth of all Internet sites, and @nytimes collaborates with @AmstatNews to promote critical thinking and data literacy.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 2 to 8 has @source’s overview of two years of mass shooting visualizations in the US, @merbroussard’s callout for information to future-proof data stories and @paulbradshaw shares his four favorite computational thinking examples from @DailyMirror, @puddingviz, @BuzzFeed and @washingtonpost.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from September 25 to October 1 has @FT mapping the route in a day of a London Uber driver, #NICAR18 registration opening up, @Lattif charting Africa’s internet shutdowns using @atlascharts and loads of German election data visualizations.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept. 18 to 24 features Wikipedia of Data Visualization, the State of Data Journalism, Dear Data Postcard Kit, and German election data.
In 2012, Amr Eleraqi launched a data visualization website to introduce the concept of data visualization to the Arabic-speaking world. Earlier this year, Eleraqi and team of nine launched the first Arab Data Journalists’ Network. Here’s how the group plans on changing the data journalism scene in the region.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 11 to 17 has @puntofisso using machine learning to map the average face of British politicians, @AftertheFloodco creating a font that turns numbers into sparklines, and @datassist listing seven deadly sins in statistical analysis.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 4 to 10 has @FastCoDesign bringing the #EndtheRainbow argument to the fore, @puddingviz analyzing driving times to abortion clinics in the US and @nsuwatch dissecting a trial involving a German terrorist organization by the numbers.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 28 to Sept 3 has the most amusing memes you’ll read all day from @xocasgv, a trip with @stuartathompson to the New York Times’ morgue to discover fascinating graphics from the 50s and 60s and crowdsourcing flooded roads by @HoustonChron.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 21 to 27 has useful digital forensics tools from @bellingcat, mathematician Cathy O’Neil warning us about blind faith in big data and an analysis of Delhi’s insane dowry demands by @htTweets.
Data visualization specialist Andy Kirk took a look at the most significant developments in the field so far this year and found the rise of the datagif, impressive work at the Hindustan Times and some beauties over at Periscopic. Here’s his top ten list in data visualization from January to June 2017.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 14 to 20 has @Forbes mapping six years of American television news, the looming Kantar @infobeautyaward’s submission deadline and @sarahslo’s list of women in the field of data visualization.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 7 to 13 has @UpshotNYT plotting Game of Thrones characters in two dimensions, @paulbradshaw offering 10 principles for data journalism and data journalists at a @dagstuhl workshop with narrative patterns for data-driven storytelling.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 31 to August 6 has @nytimes charting increasingly hot summers, @qz on Wannacry ransomware hackers cashing out their ill-gotten gains and @tagesanzeiger mapping lightning prone areas in Switzerland.
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.
