The session consisted of brief presentations, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks, and ended with Q&A. Participants learned to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers.
- Dr. Bala Desinghu, Senior Scientist from OARC, Rutgers University provided an interactive introduction to data visualization with insights on the use of high-performance computing.
- Dr. Abhishek Tripathi, Associate Professor, School of Business, TCNJ, introduced the use of Python libraries such as Seaborn, Plotly and Cufflinks for creating advanced and interactive data visualizations.
- Dr. Jim Samuel, Associate Professor, Rutgers Bloustein School, concluded the session with insights on the use of Artificial Intelligence for visualizations and language data visualizations.
This workshop was hosted by the Rutgers Urban and Civic Informatics Lab (RUCI Lab) at the Bloustein School and the Rutgers Office of Advanced Research Computing and sponsored by the Bloustein School Master of Public Informatics program. It was organized by Dr. Bala Desinghu and Dr. Jim Samuel in collaboration with our partners, the Eastern Regional Network (ERN), the Northeast Big Data Innovation Hub (NEBDI Hub), and the New Jersey Big Data Alliance (NJBDA).