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Matthew Schroyer

Matthew Schroyer

Matthew Schroyer is a Front End Developer with diverse interests. Matt has a background in data journalism, in particular drone-based journalism. He founded the Professional Society of Drone Journalists. And he has spoken at SXSW, IEEE ISTAS, NSF LNC, and NARST, and for numerous media outlets about around the globe about drone journalism and citizen data science.
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Recent Posts

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. 

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A Data Exploration Journey with Cars and Parallel Coordinates

Parallel coordinates is one way to visually compare many variables at once and to see the correlations between them. Each variable is given a vertical axis, and the axes are placed parallel to each other. A line representing a particular sample is drawn between the axes, indicating how the sample compares across the variables.

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Use a Network Diagram to Uncover Relationships in Your Data

Often times, when we're looking at a mass of data, we're trying to get a sense for relationships within that data. Who is the leader in this social group? What is a common thread between different groups of people? Such relationships can be represented hundreds of ways graphically, but few are as powerful as the classic network diagram.

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Finding Netflix's Hidden Trove of Original Content with a Basic Network Diagram

Nexflix has collected an impressive amount of data on Hollywood entertainment, made possible by tracking the viewing habits of its more-than 90 million members. In 2013, Netflix took an educated guess based on that data to stream its own original series, risking its reputation and finances in the process. When people were subscribing to Netflix to watch a trove of television series and movies created by well-established networks and studios, why create original content? Now, few would question the move.

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