COVID-19 en Brasil: Cómo creamos un mapa interactivo que ubica a los lectores en el epicentro de la epidemia

Cuando la pandemia de COVID-19 afectó por primera vez a Brasil, un equipo de periodistas de datos se propuso ilustrar el número de muertos mediante la creación de una visualización de datos que presentara algo tangible a sus lectores. El equipo consideró varias formas diferentes de mostrar la historia, y esta es una mirada entre bastidores del producto final.

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.

GIJN’s Data Journalism Top 10: Number Jungles, Gender Gaps, Uber Maps, Brexit Woes

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 5 to November 11 finds employment problems in the UK from @FinancialTimes, Polish data counter-narratives with @gazeta_wyborcza, cool geospatial analysis toys from @Uber, plus the launches of new data labs with @AlterEco_, data articles with @fstalph and @eborgesrey and data newsletters with @voydorg_en.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are top data journalism tweets for Apr 17-23, per our NodeXL mapping: French voting (@lamontagne_fr); music festival gender (@pitchfork); mapping US homeless (@FastCompany); Scottish fact checking (@FerretScot); Spanish voting (@Politibot). tilegrams (@bhaskar_vk); & more.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are top data journalism tweets for Apr 10-16, per our NodeXL mapping: Brittany’s posh hotels (@dataspotTLG); Flourish #dataviz tool (@FastCoDesign); US health insurance (@NPR); hexagonal Europe (@MusMekh); visual vocabulary (@ftdata); data internships (@ONS); China’s rising water (@kimmelman); & more.