<![CDATA[From Airbnb to Analysis in Cryptocurrency: Data and Visual Analytics Course Probes the Apps and Utilities We Love Most]]>

599582 news 1512509510 1512586912 <![CDATA[From Airbnb to Analysis in Cryptocurrency: Data and Visual Analytics Course Probes the Apps and Utilities We Love Most]]> Whether you are searching for the better deal on a place to stay for your upcoming vacation or trying to decipher whether a news item is genuine, data and visual analytics techniques can uncover information that is not superficially apparent, but that is immensely impactful.

Computational Science and Engineering (CSE) course 6242/CX4242 “Data and Visual Analytics”, which is taught by CSE Assistant Professor Polo Chau, introduces students to techniques and tools for making sense of data at scale using trending and captivating subjects.

A final project poster presentation by the students of this course was held, Nov. 30, in the Klaus Atrium. Over 270 students participated in the session that featured 54 posters created by Ph.D., masters, and undergraduate students. These posters depict data-driven insights gleaned from datasets from diverse domains and topics including:

Fake News Classification and Visualization
Airbnb vs Hotels
Movie Casting Analytics
Forecasting high-demand areas for Uber-like drivers
Depression Distributions Predicted by Twitter Activities
Crime and Stop-And-Search Visualization and Analysis
Evolution of Music
StackExchange Data Analysis
Analysis in Cryptocurrency
... and many more!

See below for a few examples of posters from the presentation:

Mapping the Music Landscape by You Jun Thung, Ken Wong, Peining Pan, and Alwyn Yeo.

Drivers Club: data-driven ride-share optimizations by Maximelien Barbé, Jonas Loy, Karl Lundquist, and Renish Matta.

TrailBlazer by Alexandre Palo, Alex Mueller, Guillaume Broggi, and Tianyi Zheng.

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