Data-visualization

This course will introduce you to broad classes of techniques and tools for analyzing and visualizing data at scale. It emphasizes on how to complement computation and visualization to perform effective analysis. We will cover methods from each side, and hybrid ones that combine the best of both worlds. Students will work in small teams to complete a significant project exploring novel approaches for interactive data & visual analytics.

All the Project from Professor Chau's class CSE6242

HW1: Collecting & visualizing data, SQLite, D3 warmup, OpenRefine

Link: https://docs.google.com/document/d/e/2PACX-1vR0ddmbBHNc1t5BfXfkyTu6ko8cegBbXYkK_UvNHhOBgmxdNEo6bYx9fNKL8F9dTPoMEUHYSt9HBQCR/pub

HW2: D3 Graphs and Visualization

Link:https://docs.google.com/document/d/e/2PACX-1vTE-kZCuRMSEXS5Go4kGZIXYlaQpxvOUyK71Z2UaCK8V9CtsqTwLGcZ_LnjgNVETZzGUSlmddml5ZmZ/pub

HW3: Hadoop, Spark, Pig, AWS, Azure

Link:https://docs.google.com/document/d/e/2PACX-1vQaTAgmrkswYCvRMvenDqYl3EsorFt54DrdC578IKVFM9kISsyrRDqCehLOGA4rWBmJhaXSFVuS7UB-/pub

HW4: PageRank, Random Forest, Scikit-Learn

Link: https://docs.google.com/document/d/e/2PACX-1vSHNGUNvrD9JaWXhWr5784tLiMwCb1kwRvpyhZPW73hiiNOWwq-0994XWO2rxaGecWWqi51LstwniS8/pub