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Activity Number: 536 - Contributed Poster Presentations: Section on Statistics in Imaging
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Imaging
Abstract #329014
Title: Big Data Visualization: User to Data Scientist
Author(s): Dylan Martin* and Vetria Byrd
Companies: Purdue University and Purdue University
Keywords: Big Data; Data Visualization; HoloLens; Undergraduate; Purdue University
Abstract:

Large amounts of data are created and stored daily, and it is no wonder that scientists are seeking for innovative, meaningful mediums through which to display their impactful analyses. Data scientists are now asked to find new ways to visualize large quantities of data in ways that engage an audience and effectively inform them. In this research, I intend to explore the developing technology of Augmented Reality through the Microsoft HoloLens as a means to display heterogeneous datasets of large quantities. I will construct an application for the HoloLens that acts as a framework to embed various analyses of datasets in a three-dimensional environment. Such a framework will more easily enable visualization of statistical models on large datasets. Users will be able to manipulate statistical analyses at will, encouraging deeper understanding and inspiring an interest in data analysis and visualization. This material is based upon work supported by the National Science Foundation under Grant No. 1246818.


Authors who are presenting talks have a * after their name.

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