What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 25 to 31 finds @ajlabs visualizing air raids through sound, @infobae exposing secret dictatorship decrees in Argentina, @albertocairo presenting on how charts can mislead (and how to fix them), and @TheEconomist laying bare “crimes” against data visualization they have committed.
Visualizing Air Raids Through Sound
The AJ Labs team walks us through their process of visualizing 19,000 air raids carried out by the Saudi coalition in Yemen since 2015. They explain why they resisted using a traditional map with circles showing the location of the raids and opted instead for an audio visualization.
How and why we made our first audio data visualisation https://t.co/ROnenf9Mt6 #Yemen #ddj #dataviz pic.twitter.com/BYRA2oas2i
— AJ Labs (@ajlabs) March 27, 2019
Secret Dictatorship Decrees Analyzed
The Infobae data unit downloaded and reviewed more than 7,000 secret decrees signed by the last Argentine military dictatorship between 1976 and 1983. The declassified decrees had never been processed and analyzed in their entirety until now.
Impresionante trabajo que leo ahora que estoy en Argentina: Los decretos secretos de la dictadura – Infobae https://t.co/Csqro6qOcB
— jesús garcía calero (@caleroje) March 26, 2019
How Charts Lie
At the 27th Infographics World Summit, data viz expert Alberto Cairo presented his thoughts on how infographics can be misleading due to a variety of factors, such as graphical illiteracy, confirmation bias, fear of complexity, uncertainty and inaccurate descriptions. Get Cairo’s book on the topic here.
How infographics lie. A talk by @albertocairo at @malofiej #malofiej27. My take aways = seek to disprove your hypothesis first & incorrect verbal descriptions greatly bias us. #malofiej27 pic.twitter.com/C8TUOIBPtD
— Katherine Haugh (@Katherine_Haugh) March 28, 2019
Crimes Against Data Visualization
Getting data visualization right isn’t easy, and even the experts get it wrong sometimes. The Economist’s Sarah Leo writes a refreshingly honest and revealing post on the mistakes the organization has made in producing visualizations.
Excellent makeovers and reflections from which we all can learn: https://t.co/nGlhMUmtuP Great post, @MissSarahLeo!
— Cole Knaflic (@storywithdata) March 27, 2019
Can AI Break the Next Panama Papers?
Three years ago, 400 journalists used open source data mining technology and graph databases to wrestle with 11.5 million documents and expose offshore finance secrets now known as the Panama Papers. In hindsight, Marina Walker Guevara, deputy director of the International Consortium of Investigative Journalists, wonders what stories they might have missed and how artificial intelligence could possibly help to uncover more money laundering in the future.
“What would our research look like if we were to deploy machine learning algorithms on the #PanamaPapers ?” @MarinaWalkerG examines how artificial intelligence can help investigative reporting.
What do you think? https://t.co/p4xK7eMqBg
— ICIJ (@ICIJorg) March 26, 2019
Random Sampling Explained
How can a survey of a small group of people measure the public opinion of a whole country? This neat explainer by Pew Research Center (published in 2017, but relevant as ever) breaks down how random sampling works and how the data collected can be weighted and adjusted to match the general population.
Want to help a friend understand how polling works? Below are a few resources.@pewmethods: https://t.co/bRiauhqjMN@PostPolls: https://t.co/mD6hZWQsal@CBSNews: https://t.co/ElXCK9dLAj#aapor #mrx #stattwitter #epitwitter #ddj
— AAPOR (@AAPOR) March 31, 2019
From Pulp Fiction to Rock Bands in Rio
Multidisciplinary designer Carol Cavaleiro has been designing infographics for the past seven years and has worked for Estadão, UOL, Metro and O Globo. Her portfolio is a glorious, colorful visual feast, and includes visualizations about Pulp Fiction, dogs matching Volkswagen cars and rock bands in Rio.
About @carol_cavaleiro's talk at #Malofiej27 today, here's her website: https://t.co/fkpol6hNF0 #dataviz #infographics #ddj pic.twitter.com/MdL1mYUbf5
— Alberto Cairo (@AlbertoCairo) March 29, 2019
Football Finances
Kieran Maguire, a lecturer in football finance analysis at the University of Liverpool, assesses how three English football clubs ended up struggling financially. One of the key factors he outlined is the lack of control of player costs in terms of both wages and transfer fees.
The other side of pro-rel. Championship club losses may have reached 500 miilion pounds last year. https://t.co/RRvl053yR5
— Roger Faulkner (@rogerfaulkner94) March 26, 2019
Final Call: Submit Your Data Projects
April 7 is the deadline to submit your brilliant data journalism project for the Data Journalism Awards. Stand a chance to win an all-expenses-covered trip to Athens, Greece, to attend the GEN Summit and Data Journalism Awards 2019 ceremony, taking place from June 13 to 15.
#Datajournalists! You only have *two* weeks left to apply for the #DataJournalismAwards. Win cash prizes and the respect and love of your colleagues and rivals.
–> https://t.co/OkrZcGpgci#DDJ #datajournalism pic.twitter.com/9T2JJAfvfr
— Simon Rogers (@smfrogers) March 12, 2018
UK Data Journalism
Top UK data journalists will gather on May 3 to share tips on producing cutting-edge reporting and finding stories in structured information. Speakers include the BBC Shared Data Unit’s Pete Sherlock, The Times’ Leila Haddou and The Guardian’s Caelainn Barr.
Tickets now available for the Data Journalism UK conference on May 3 + travel bursaries available for low income & underrepresented groups https://t.co/6DbVcppxN9 #ddj #DJUK19 pic.twitter.com/Bg7PGqKyZf
— Paul Bradshaw (@paulbradshaw) March 27, 2019
Thanks, once again, to Marc Smith of Connected Action for gathering the links and graphing them.
Eunice Au is GIJN’s program coordinator. Previously, she was a Malaysia correspondent for Singapore’s The Straits Times, and a journalist at the New Straits Times. She has also written for The Sun, Malaysian Today and Madam Chair.