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Members of the Data Visualization Society joined forces earlier this week to catalog what else related to COVID-19 would be worthwhile for researchers and policymakers worldwide to measure related to COVID-19.

To ensure you have a fast analytical experience, we’re making an update to our minimum hardware requirements.

Welcome back to another recap of our livestream series, If Data Could Talk! Each episode, data experts from the community share resources you can read, watch, or listen to around the topic of data literacy. This episode features co-hosts Andy Cotgreave and Amanda Makulec, along with special guest Sarah Wachter, Product Manager of Augmented Analytics at Tableau.

The world is watching as new cases of COVID-19 emerge daily. We look to data for answers: We want to see the latest numbers, know how quickly case counts are increasing, and make sense of what feels like an uncertain future.

Tableau 2020.2 introduces set control, a new way to interact with data and alter set membership with familiar, filter-like functionality.

If you’ve been exploring data about COVID19, you might be tempted to use the forecasting feature in Tableau to look at the trajectory of COVID-19 cases and deaths. But if you do, should you publish what you find?

With the coronavirus continuing to spread through communities across the world, people are seeking information they can trust. And public officials are working as quickly as they can to make sure that people are able to access that information at the same time that they’re conducting their own internal data analysis to understand need and craft policies and strategies to respond to it.

When you hear the word disclaimer, what comes to mind? The word sounds like legalese to many, or something you find on WebMD reminding readers that the site is meant to share information but does not give medical advice.

In the first episode of If Data Could Talk, Andy Cotgreave and Amanda Makulec look into some of the thought-provoking COVID-19 visualizations they’ve seen being shared around the community. Read on for a recap of their conversation.

Andrew Beers shares five elements that are essential to becoming a leader in data culture—and how you can lead this transformation by example.

The infographic version of “flatten the curve” has been reinterpreted a number of ways (including with cats and baby Yoda). Most iterations are conceptual graphics though, not rooted in the actual case counts of COVID-19. Opinion articles have proliferated, speculating on what the future holds for the United States: Can we turn a corner? Will the economic fall out be worse than the human toll of the disease? How long does this “social distancing” thing need to continue?