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Shedding Light on the "Black Box” of Collaboration

In Stanley Kubrick’s famous film based on Arthur C. Clark’s book, 2001: A Space Odyssey, a mysterious black monolith appears on Earth millions of years before modern humans. It’s the classic “black box.” We don’t know who made it, what’s in it, or how it works, but it’s miraculous and powerful and somehow results in jumpstarting the entire evolution of humankind.

A week ago I traveled with two of my colleagues to India where we participated in a multi-day workshop for a large-scale multi-continent collaborative data-science initiative that was just getting underway. No one at the conference talked about Kubrick’s film, but there was plenty of talk of “black boxes.”

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Exploring Tech Stocks: A Data Application Versus Data Visualization

A crucial aspect that sets a data application apart from an ordinary visualization is interactivity. In an application, visualizations can interact with each other. For example, clicking on a point in a scatterplot may send corresponding data to a table. In an application, visualizations are also enhanced with simple filtering tools, e.g. selections in a list can update results shown a heat map. 

You can already try some linked visualizations to find the perfect taco. Now, we'll look at how some simple filtering elements enhance visualization, using a tech stock exploration xap I built over a couple of days. (A xap is what we call a data application built with the Exaptive Studio.) A few simple, but flexible interactive elements can help transform ordinary visualizations into powerful, insightful data applications. Humble check boxes and lists help produce extra value from charts and plots.

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