Summary
Edward Rolf Tufte (ˈtʌfti; born March 14, 1942), sometimes known as "ET", is an American statistician and professor emeritus of political science, statistics, and computer science at Yale University. He is noted for his writings on information design and as a pioneer in the field of data visualization. Edward Rolf Tufte was born in 1942 in Kansas City, Missouri, to Virginia Tufte (1918–2020) and Edward E. Tufte (1912–1999). He grew up in Beverly Hills, California, where his father was a longtime city official, and he graduated from Beverly Hills High School. He received a BS and MS in statistics from Stanford University and a PhD in political science from Yale. His dissertation, completed in 1968, was titled The Civil Rights Movement and Its Opposition. He was then hired by Princeton University's Woodrow Wilson School, where he taught courses in political economy and data analysis while publishing three quantitatively inclined political science books. In 1975, while at Princeton, Tufte was asked to teach a statistics course to a group of journalists who were visiting the school to study economics. He developed a set of readings and lectures on statistical graphics, which he further developed in joint seminars he taught with renowned statistician John Tukey, a pioneer in the field of information design. These course materials became the foundation for his first book on information design, The Visual Display of Quantitative Information. After negotiations with major publishers failed, Tufte decided to self-publish Visual Display in 1982, working closely with graphic designer Howard Gralla. He financed the work by taking out a second mortgage on his home. The book quickly became a commercial success and secured his transition from political scientist to information expert. On March 5, 2010, President Barack Obama appointed Tufte to the American Recovery and Reinvestment Act's Recovery Independent Advisory Panel "to provide transparency in the use of Recovery-related funds".
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related publications (5)