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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 Chantilly Jaggernauth, VP of Visualization and Training at Lovelytics.

Learn how IT can leverage and enable the change to a Data Culture within an organization. Trust in the data and a change in mindset around how people work with information and disseminate it to others.

COVID-19 has upended communities and individuals’ lives across the world. While the focus is now on flattening the curve of the disease and keeping people healthy, it’s also important to understand the many other impacts of the virus. For the World Food Programme (WFP), the food-assistance branch of the United Nations and the world’s largest hunger-relief agency, program leaders immediately knew that the pandemic would pose a challenge to their programs—specifically, to schoolchildren’s access to food.

we have developed hands-on solutions for each of these areas. We know many of you may have similar needs; I hope you’ll check out the online resources highlighted below or contact our amazing team. We’re here to help.

Fifteen questions to help you gauge the trustworthiness of COVID-19 stats.

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?