CornellDataScience/DataVisualization

Name: DataVisualization

Owner: Cornell Data Science

Description: The Data Visualization Subteam of Cornell Data Science

Created: 2018-01-31 13:51:36.0

Updated: 2018-03-17 19:50:26.0

Pushed: 2018-03-17 19:50:26.0

Homepage: http://cornelldata.science

Size: 545

Language: JavaScript

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README

Data Visualization

Data Vis Subteam

Team Leads: Linnea May (CS '21) and Kenta Tatsaku (CS '19)
Advisor: Prof. Jeff Rzeszotarski

About Us

The Data Visualization (DE) team is one of the three subteams in Cornell Data Science, a student led undergraduate project team at Cornell University. We are a new team of data scientists and designers dedicated to making sense of high-dimensional data and complex algorithms using visualization techniques. The field of data visualization is vast one and we're looking into topics such as visualizing high-dimensional data using T-SNE, visualizing deep learning conecpts, and creating tools to facilitate the machine learning development cycle.

Team Objectives

• Study machine learning algorithms as a team by visualizing them
• Find patterns in large datasets to guide future actions
• Create tools that help users better understand their datasets
• Make data science into an accessible topic for any audience

This Semester

For our first semester we are working on building up the team and our projects, with a strong focus on visualizing how different algorithms in the field of data science function.

Social Tribes

Visualizing the clustering of political figures on Twitter.
Members: Andrew Tsarikis, Danny Yang, Kevin Ngo, Max Chen, Sam Kitterman, Shalin Mehta

Wikipedia

Visualizing the hierarchial structure of knowledge using Wikipedia articles.
Members: Jim Li, Linnea May, Nikhil Saggi, Xinqi Lyu, Ziwei Gu