How We Built the Data Visualization That Brought Brazil’s COVID Deaths Close to Home

When the COVID-19 pandemic first hit Brazil, a team of data journalists set out to illustrate what the death toll looked like by creating a data visualization that presented something beyond the numbers. The team considered various ways of displaying the story. Here’s a behind-the-scenes look at how they created At the Epicenter.

Exposing How US Universities Profited from Indigenous Land

A joint investigation by a historian and a journalist revealed that a number of US universities were beneficiaries from land expropriated from Indigenous communities. The authors, Robert Lee and Tristan Ahtone, reveal what tools helped them uncover the story. They built a geodatabase and traced the money to find out where the land had come from and how much was paid for it.

How They Did It: Feminist Investigators Go Undercover to Expose Abortion Misinformation

A network of female journalists went undercover in order to investigate what women and girls around the world are told when they approach a crisis pregnancy organization. Some were told they could be killing the next president, others than abortions cause cancer. The investigation revealed the highly sophisticated tactics some centers use to break a woman’s resolve, and how the messaging can be traced back to a Christian charity based in Columbus, Ohio.

Data Journalism Top 10: March Madness, Trafficking Tigers and Fish, Color Palettes, Vaccine Inequality, Domestic Work

A lack of comprehensive data can seriously hinder efforts to track illicit activities. But persistent reporters will always find a way to get a glimpse of the real picture. Our NodeXL #ddj mapping from March 15 to 21 found Oxpeckers investigating the trafficking of tigers in Europe and journalist Ben Heubl offering advice on investigating illegal fishing. We also feature an analysis of the global aviation crisis by the Financial Times, a guide to color scales by visual storytelling expert Lisa Charlotte Rost, and a look into the burden of unpaid domestic work by data analyst Hassel Fallas.