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Over 150 students gathered in Singapore for a fierce data-viz competition, determined to win the top spot and proud bragging rights. To emerge victorious, they’d have to tell the best data story using Tableau. But there was a catch: None of the teams had ever used Tableau. But that didn’t faze the secondary-school and junior-college students who entered the National Infocomm Competition (NIC) Face-off | Data Analytics Competition. The event, hosted in partnership with the Infocomm Media Development Authority (IMDA), recently came to an exciting close.

Over the past few releases, we’ve invested heavily in data prep, making it easier to connect Tableau to your data and get to your analysis faster. With Tableau 10.2, we’re enhancing some of our existing functionality. We’re extending features like union to work with more connectors. We’re also improving our date recognition capabilities.

With Tableau 10 and on, it is, in fact, possible to get your survey data “just so” without having to invest in new tools and/or a engage in a time-consuming, error-prone procedure every time you need receive updated survey data.

The US Department of Commerce challenged digital innovators across the country to take its vast terabytes of public data on business, jobs, trade, weather, and demographics, and make it easier for the public to use. Tableau and Enigma, an operational data management and intelligence provider, participated in this challenge and put their software to work.

Extension activities are a new resource for the free training videos that provide that next step in scaffolding. Each extension activity consists of two workbooks. One lays out the task and any necessary background information, and the matching solution workbook provides detailed step-by-step directions for solving the task. Extension activities build off concepts addressed in the videos and are listed under one or more relevant videos.

Let’s take a look at a chart type that has been growing in popularity amongst the Tableau community: the hex-tile map.

We have a saying around these parts: Data is always trending. And that’s especially true for the retail sector which is increasingly embracing a culture of analytics.

Schemas play an important role in data visualization because they have the ability to make or break the two biggest benefits of visualizing data: reducing time to insight and improving the accuracy of insights. Tap into your audience’s schemas and you improve their experience; disrupt their schemas and you run the risk of leading your audience in the wrong direction.