COVID-19 has generated a colossal volume of data, prompting many “data visualization” formats in the media. But not all data visualizations are created equal. While some can make information more understandable, others can be misinterpreted and contribute to misinformation .
Another difficulty: the glaring uncertainty surrounding COVID-19. The scientific studies carried out are relative . The figures studied are imperfect due to differences from one country to another on the definition of a confirmed case or on the policy of screening the population.
According to Alberto Cairo, author of "How gambling data belarus Charts Lie", a successful dataviz does not only visualize data but also conveys a message. Meta-Media has selected the most relevant dataviz for you to understand the current pandemic.
Explaining the spread of the virus
The New York Times' " How The Virus Got Out " is an immersive scrollytelling article , whose data visualization illustrates the spread of the virus from Wuhan to the world.
Its execution ticks all the boxes of a successful visualization according to the criteria of the dataviz site “ Information is Beautiful ”: a telling story, a clear objective and harmonious visuals.
Note: short explanatory texts to help the reader understand the graphs and an effective color palette that links text and visualizations (red indicates cases of contamination, green indicates movement).
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