Nathan Yau | |
---|---|
Born | Nathan Chun-Yin Yau |
Alma mater | UC Berkeley (BS) UCLA (MS, PhD) |
Known for | FlowingData blog |
Scientific career | |
Fields | |
Institutions | U.S. Census |
Thesis | An Online Tool for Personal Data Collection and Exploration (2013) |
Doctoral advisor | Mark Hansen |
Website | flowingdata |
Nathan Yau is an American statistician and data visualization expert.
Nathan Chun-Yin Yau grew up in Fresno, California.[1][2]
He received a Bachelor of Science in electrical engineering and computer science from the University of California, Berkeley.[1] He graduated in 2007 with a Master of Science and in 2013 with a PhD in statistics from the University of California, Los Angeles.[1][3][4]
His dissertation was titled "An Online Tool for Personal Data Collection and Exploration" and focused on self-surveillance techniques.[2][5] Yau's earlier self-surveillance work on the "Personal Environmental Impact Report" was featured in Yau's chapter of the book Beautiful Data, published in 2009.[6][7]
Yau is known for his blog FlowingData in which he publishes writing and tutorials on information design and analytics, as well as visualizations and data science-related projects created by other professionals.[3][8][9]
He is the author of books "Visualize This: The FlowingData Guide to Design, Visualization, and Statistics" (2011) and "Data Points: Visualization That Means Something" (2013).[8][10][11]
Since 2014, Yau has worked at the U.S. Census as a research mathematical statistician.[5]