Our weekly NodeXL and human curation of the most popular data journalism stories looks at mapping migrant deaths in Singapore, tracking Russian airstrikes and Ukraine power outages, “authorized deforestation” in Mali and Côte D’Ivoire, and analysis of the best value when skiing in Switzerland.
Our most popular data journalism stories of the week highlight a project cataloging Indigenous remains in the US that have yet to be repatriated, a look into the socioeconomic disparities between French school districts, a deep dive into how caste discrimination affects India’s academia, and a German examination of 100 years of student housing.
Our most popular data journalism stories of the week include a UK political money tracking tool, Central Asia’s perception of the Russian war in Ukraine, and an analysis of the sentencing of rioters involved in the 2021 US Capitol attack.
Throughout 2022, journalists have used data projects to track and assess the Russian invasion of Ukraine, the ongoing impacts of climate change, and important political elections around the world. Here, GIJN selects our top 10 data journalism projects of the year, which also includes a look at the polarization of the COVID vaccines in the US, a historical analysis of how debt burdened Haiti for centuries, irregularities in Spanish caesarean delivery rates, and the privatization of UK’s water resources.
What is an application programming interface (API) and how can it help reporters gather information online? Data journalist Paul Bradshaw explains how to use this tool in your next investigation.
Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter features 2022 World Cup odds and carbon promises, the legal consequences of France’s #MeToo movement, and the problem of pig farm pollution.
Our weekly curation of the most popular and engaging data journalism stories looks at Hollywood blockbuster diversity, how climate change drives global inequity, tracking US election deniers, and toxic tweets aimed at UK politicians.
This week’s list of the top 10 data journalism stories on Twitter includes a tool for testing your newsworthiness as a missing person, broken corporate promises not to fund 2020 US election deniers, and a timeline of Iran’s nationwide protests.
This week’s most popular data journalism stories on Twitter include how Google ads fuel disinformation, an analysis of the online bubble of pro-Bolsonaro tweets, what marriages tell us about Russian mobilization numbers, and a timeline of the Itaewon crowd crush tragedy.
Our weekly curation of the most popular data journalism stories on Twitter highlights non-fatal US police shootings, the rise and fall of COVID billionaires, racial disparities in internet service and road safety programs, and Minnesota’s great Halloween blizzard of 1991.
In Flourish’s recent webinar on effective elections and polling visualization, data journalist Mafe Callejón shared essential tips for building an interactive map from election results.
This week’s most popular data journalism stories on Twitter highlights efforts to evade Russia’s war mobilization, Xi Jinping’s path to power, abuses of child welfare policing, teacher demonstrations in Hungary, and caesarean birth rates in Spain.
Our curation of the most popular data journalism stories on Twitter features a look at Europe’s looming energy crisis, an investigation into a fatal crowd stampede in Indonesia, tracking false reports of active shooter incidents in the US, and an analysis of the most popular Ukrainian war-related memes.
China’s global fishing operation is prompting concerns about overfishing and destruction of marine life and ecosystems and The New York Times mapped its global reach. Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter also highlights the queer cinema history in the Southeast Asian region, charted Hurricane Ian’s destructive path through the US, Iran’s protests for womens’ rights, and the social housing issues in Canada.
From stories examing potential conflicts of interest among lawmakers in Peru and the US, to a data story revealing the history of Queen Elizabeth II’s portrait on banknotes worldwide, our column features the best in data journalism. Also this week: the dangers of so-called celebratory gunfire, displacement in the Democratic Repubilc of Congo, and how the war in Ukraine has impacted children living in institutional care.
Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter features The Financial Times’ 10 charts visualizing developments in the United Kingdom during Elizabeth’s reign, The Marshall Project’s look at how government Covid-19 relief funds were used, and Taiwan Data Stories’ scrollytelling project about Taiwan’s iconic street food.
This week’s Top 10 in Data Journalism features the carbon footprint of celebrity jets, the unsanctioned destruction of the Amazon, secret documents seized from Trump, massive Pakistan flooding, and a look into the history of memes.
Our weekly analysis of the most popular data journalism stories on Twitter features the mapping of Europe’s drought-stricken rivers, NASA’s plans to return to the moon, how the war in Ukraine compares to other modern conflicts, tracking a stolen truck, and examining Chinese censorship of foreign content with edited episodes of The Big Bang Theory.
Our weekly analysis of the most popular data journalism stories on Twitter spotlights a Bloomberg investigation on Google search results for abortion, a story on the impact of state meddling in the finances of Canada’s Indigenous First Nations, data revealing a crisis in accident and emergency services in England, heat wave predictions for the year 2053 in the US, and for the film fans, a network visualization of the Marvel Cinematic Universe.
The workings of the Chinese Communist Party are shrouded in secrecy, but ahead of the party congress later this year The South China Morning Post published a detailed guide on the key power players. Also this week, an investigation into the arbitrary nature of military justice in the United States, an analysis of Russia’s election voter turnout using artificial intelligence, and charts celebrating Serena Williams’ tennis career.
Data journalists often encounter the term “standard deviation” when reading research, from climate change studies to social science papers. This tipsheet explains how researchers use this measure, and how reporters can benefit from the context it provides.
Despite the threats posed by misinformation and limited funding, grassroots efforts to build skills and literacy in data journalism and data visualization are bearing fruit in countries like Indonesia, Malaysia, and the Philippines — a trend sparked partly by a hunger for information around COVID-19.
Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter features an investigation into the illegal mining industry in the Amazon, an exposé about sanctioned oligarchs in the UK, a report on links between human-caused climate change and extreme weather events, and the frequency of shark attacks.
At the Pulitzer Center’s recent environmental investigative conference, Interconnected: Reporting the Climate Crisis, a panel of environmental reporters and designers explained how data and visualization can make environmental stories compelling.
This week’s Data Journalism Top 10 features a dive into the murky market for vehicle data, an analysis of the deteriorating quality of education in poorer countries, a piece on how higher temperatures affect our lives, and fact-checking India’s encounter killings.
Children’s fashion is riddled with gender stereotypes, according to an analysis by German newspaper Süddeutsche Zeitung, which found that popular children’s clothing tended to be more revealing for girls, but comfortable and functional for boys. Also this week, analysis of the big earners in the healthcare industry, the tracking of post-pandemic recovery through sandwich sales, and Florence Nightingale’s contribution to graphic storytelling.
As parts of the world endure record-breaking temperatures, a highlight from the world of data journalism this week involves an analysis of how “heat islands” in Canadian cities vary based on economic strata. Our weekly Top Ten in Data Journalism also looks at the global spread of Pegasus spyware, digital inequity in the US, and how the COVID-19 pandemic affects school children in Latin America.
This tipsheet helps journalists avoid some of the most common errors related to statistcal significance in academic studies, which even trained researchers sometimes make.
