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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?

Diante da contínua propagação do coronavírus pelo mundo, as pessoas estão buscando informações confiáveis. As autoridades públicas vêm trabalhando o mais rápido possível para garantir que as pessoas tenham acesso a informações, ao mesmo tempo em que analisam os dados internos para entender as necessidades e compor políticas e estratégias para atendê-las.

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?

The coronavirus is spreading quickly through the United States, and many elected officials across the country are reacting with policies designed to slow the transmission of the pandemic, otherwise known as “flattening the curve.”

As part of the Tableau Developer Program, we host monthly Sprint Demos, where members of the engineering team demo what they have been working on for our developer community. This month, we had product managers and engineers from the Advanced Analytics, Connector SDK, and Hyper API teams.

In this post, we’ll cover these three topics, along with links for further reading. Watch the full Chart Chat to learn more.

We've pulled together a Coronavirus Data Hub FAQ. Learn how to familiarize yourself with the data before you start your analysis.