Data Journalism Top 10: Election Forecasts, The Sweatpants Era, Hong Kong Protests, DJ in Eastern Europe & Caucasus

One of the biggest issues that comes with visualizing election forecasts is how to incorporate uncertainty in a way that is understandable to readers. Our NodeXL #ddj mapping from August 10 to 16 finds FiveThirtyEight explaining their election forecast design process and considerations. Elsewhere, The New York Times Magazine has been digging into the collapse of the fashion industry, and the Hong Kong Free Press is teaming up with the Journalism and Media Studies Centre of The University of Hong Kong to expand its protest research archive.

Data Journalism Top 10: Herd Immunity Calculator, Post-COVID Offices, Back-to-School Jitters

How many people need to get infected or die of the coronavirus before we reach a herd immunity threshold? Our NodeXL #ddj mapping from August 3 to 9 finds that The Washington Post created a herd immunity calculator to estimate this. Also in the Data Journalism Top 10 this week: BBC’s Visual and Data Journalism team illustrates the future of work environments post-COVID-19, The New York Times shares projections of the potential number of children who may carry the virus back to school in the fall according to county, and Oregon Public Broadcasting discovers a surprising reason for the low incidence of coronavirus transmission in bars and restaurants in the US state of Oregon. 

Here’s Why Investigative Reporters Need to Know Knowledge Graphs

Across the data science community, knowledge graphs have become a growing phenomenon in recent years, driving many applications including virtual assistants like Siri and Alexa. Friedrich Lindenberg, from the Organized Crime and Corruption Reporting Project, writes about how its data platform Aleph makes use of knowledge graphs to help investigative reporters analyze and cross-reference data.

Data Journalism Top 10: Climate Migrants, COVID Testing Disparities, Outbreak Epicenters, Brazil’s Military

In the midst of the pandemic, some newsrooms haven’t forgotten about the issue of climate change. Our NodeXL #ddj mapping from July 20 to 26 found ProPublica partnering with The New York Times Magazine to examine climate migration and where climate refugees are moving to. On the COVID-19 front, FiveThirtyEight revealed the disparities in the availability of testing sites between Black and Hispanic neighborhoods and white areas, broadcaster RBB highlighted that the risk of coronavirus was more keenly felt by low-income earners, and the Google News Initiative and Agência Lupa communicated the impact of the coronavirus by visually putting readers at the epicenter of an outbreak.

Data Journalism Top 10: Measuring Mask Use, Parental Interruptions, Childbirth Woes, India’s Low Death Rate

How widespread is mask use in your country? Our NodeXL #ddj mapping from July 13 to 19 finds The New York Times mapping the odds of people encountering other mask wearers in the United States, two university professors quantifying the number of interruptions a parent suffers on average every hour while working from home, the Committee to Protect Journalists talking to data journalists about the struggles of reporting on COVID-19, and openDemocracy documenting cases of mistreatment of women in labor around the world since the pandemic started.

Data Journalism Top 10: COVID-19 Racial Inequity, Cash for the Connected, Africa’s Silent Epidemic, Amazon Safety

The coronavirus pandemic has upended the lives of people around the world, but some communities are especially hard hit. Our NodeXL #ddj mapping from July 6 to 12 finds The New York Times analyzing data that reveals Black and Latino people have been disproportionately affected by COVID-19, The Washington Post highlighting that business relief funds for the pandemic have gone to the rich and well-connected, and Bloomberg looking at more than 120 US businesses that say the coronavirus helped force them into bankruptcy.

Data Journalism Top 10: Pace of Global COVID-19 Deaths, Who Can Work from Home, Visualizations for the Colorblind, Skin Tone and Sports

It is hard to comprehend the true impact of COVID-19 around the world. Our NodeXL #ddj mapping from June 29 to July 5 finds Reuters trying to visualize the alarming rate of deaths related to the coronavirus pandemic, Datawrapper examining which employees can actually afford to work from home, and data journalist Carmen Aguilar García writing about using R programming language and automating repetitive data processes in order to keep up with the demand for pandemic news.

Data Journalism Top 10: How US Infection Spread, Data Hires, Identity Theft, and Lightning Strikes vs. Lottery Wins

Our NodeXL #ddj mapping from June 22 to 28 finds The New York Times analyzing travel patterns and genetic data to show how the disease spread across the United States, and the impact it has had on nursing homes and elderly care facilities. The Washington Post is responding to the increasing importance of visual data communication by expanding its data and graphics team, and the Pulitzer Center is calling for data journalism story proposals.