PPT-Scalable Data Visualization and Social Data Analysis

Jeffrey Heer Stanford University Joe Hellerstein UC Berkeley TexPoint fonts used in EMF Read the TexPoint manual before you delete this box A A A Visualization Reference Model. Shengliang. . Dai. Background . Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. . Scale costs time. . Potential. . avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. . Shengliang. . Dai. Background . Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. . Scale costs time. . Potential. . avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. . Alexander Lex. July 29, 2013. r. esearch. requires . understanding data. b. ut there is so much of it…. 2. What is . important?. . Where are the . connections? . 3. 4. methylation levels. mRNA expression. Information . Visualization and . Visual Analytics. Remco Chang. Associate Professor. Computer Science, Tufts University. Human + Computer. 1. http://www.collisiondetection.net/mt/archives/2010/02/why_cyborgs_are.php. GLIF 2015, Prague. Andrew Lee. leea@indiana.edu. 1. Open. , privacy-aware, network measurement, analysis, and visualization service . Designed to address the needs of today’s international networks. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. Jing Wu. CE 394K. 11/15/2018. Agenda. Purpose. Risk on health. Monitoring & regulation implementation. Data. Google street view cars. Demographic information - from ACS (American Community Survey). Spring 2018. Course Introduction. What the course is about. What will you learn. Teaching team. Schedule. What you need to do to succeed. 1. Course overview. Visualization analysis & design. What visualization can do?. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. This project proposes to study sensitivity analysis for guiding the evaluation of uncertainty of data in the visual analytics process. We aim to achieve:. Semi-automatic Extraction of Sensitivity Information. Jean . Shimer. . and Patti . Fougere. , MA Part C. Karen Walker, WA Part . C. Karie. Taylor, AZ Part C. Abby . Winer, . DaSy. , ECTA. Tony Ruggiero, . DaSy. , . IDC. 2014 Improving Data, Improving Outcomes Conference. Chong Ho (Alex) Yu. Agenda. What is data visualization?. What isn’t data visualization?. What is the difference between dynamic, semi-dynamic, and non-dynamic (static) visualization systems?. Why do we need data visualization?. Data Science Methodology. Randy Johnson, PhD. Advanced Biomedical Computational Science. April 23, 2019. Overview. Scientific method - Data science plays a role in. Study design. Study execution. Data analysis and interpretation.