Simple English Is The Basis For Complex Data Visualizations
November 7, 2019
Computers started to gain a foothold in modern society during the 1980s. By today’s standards, the physical size and amount of data old school computers used to process are laughable. Tech Explore reports on how spoken English can actually create complex, data rich visitations, something that was only imaginable in the 1980s, in the article, “Study Leads To A System That Lets People Use Simple English To Create Complex Complex Machine Learning-Driven Visualizations.”
Today’s technology collects terabytes of diverse information from traffic patterns, weather patterns, disease outbreaks, animal migrations, financial trends, and human behavior models. The problem is that the people who could benefit from this data do not know how to make visualization models.
Professor Claudio Silva led a team at New York University Tandon School of Engineering’s Visualization and Data Analytics (VIDA) that developed VisFlow, a framework that allows non-data experts to create flexible and graphic rich data visualization models. These models will also be easy to edit with an extension called FlowSense. FlowSense will allow users to edit and synthesize data exploration pipes with a NLP interface.
VIDA is one of the leading research centers on data visualizations and FlowSense is already being used in astronomy, medicine, and climate research”
• “OpenSpace, a System for Astrographics is being used worldwide in planetariums, museums, and other contexts to explore the solar system and universe
• Motion Browser: Visualizing and Understanding Complex Upper Limb Movement under Obstetrical Brachial Plexus Injuries is a collaboration between computer scientists, orthopedic surgeons, and rehabilitation physicians that could lead to new treatments for brachial nerve injuries and hypotheses for future research
• The Effect of Color Scales on Climate Scientists’ Objective and Subjective Performance in Spatial Data Analysis Tasks is a web-based user study that takes a close look at the efficacy of the widely used practice of superimposing color scales on geographic maps.”
FlowSense and VisFlow are open source frameworks available on Github and programmers are welcome to experiment with them. These applications allow non-data experts to manipulate data for their fields, take advantage of technology, and augment their current work.
Whitney Grace, November 7, 2019
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