Alle Storys

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?

Da sich das Coronavirus in den Ländern weltweit weiter ausbreitet, sind die Menschen überall auf vertrauenswürdige Informationen angewiesen. Die Verantwortlichen in den Behörden sind deshalb bestrebt, den Menschen solche Informationen so schnell wie möglich zur Verfügung zu stellen. Gleichzeitig führen sie eigene interne Datenanalysen durch, um die erforderlichen Maßnahmen und Strategien als Antwort auf die Pandemie zu ermitteln und entsprechend zu gestalten.

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.