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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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