PPT-STREAMIT: Dynamic Visualization and Interactive Explorati

Jamal Alsakran Kent State University Ohio Yang Chen University of North Carolina Charlotte Ye Zhao Presenter Kent State University Ohio Jing Yang University of North Carolina Charlotte. Eliot Feibush. Plasma Princeton Physics Laboratory. PICSciE. Princeton Institute for Computational Science and Engineering. Getting to Know Your Data. Geometric range. Numerical domain (min, max). Histogram. B.Tech Major Project. Project Guide. Dr. . Naresh. . Nagwani. Project Team Members. Pawan Singh. Sumit. . Guha. What is Data Visualisation ?. Data Visualisation . is the graphical representation. of information. Bar charts, scatter graphs, and. VisualiZations. . of . statistics. in RIP. By. : Tim de Boer . and. Kim Verkooij. Data . VisualiZation. The set of techniques used to turn a set of data into visual insight.. It aims to give the data a meaningful representation by exploiting. Yollin. UW Computational Finance and Risk Management. Tableau and R . DataBrowser. For . Carhart. Four Factor Model . Objectives. Introduction to Tableau and R integration. Carhart. Four Factor model . 2014 Summer Internship - Tetherless World Constellation. Sumithra Gnanasekar. Lakshmi Chenicheri. Objective. Visualize Minimum Information about a Marker Gene Sequence (. MiMarks. ) compliant datasets. Large Dynamic . Digraphs. Michael . Burch. Motivation. Various application examples for dynamic graphs. Protein-protein interactions. Social networks. Call relations in software systems. …. Visualization. Hao. Du. 3. , . Peter Henry. 1. , . Xiaofeng. Ren. 2. , Marvin Cheng. 1. ,. Dan B Goldman. 4. , Steven M. Seitz. 1. , Dieter Fox. 1,2. 1. University of Washington: Computer Science & Engineering. Yingcai Xiao. Computation with and without Visual Assistance. 67 x 89 = ? . Visualized Data Analysis. 67. x 89. ---------. 603. + 536. ---------. 5963. . Yollin. UW Computational Finance and Risk Management. Tableau and R . DataBrowser. For . Carhart. Four Factor Model . Objectives. Introduction to Tableau and R integration. Carhart. Four Factor model . Week . 9 . NJ Kang. What is creative visualization?. 5. Create new and fresh/. From language to visualization. http://pageturneradventures.com/2011/09/imagination-workout-visualization/. From word to image. Representing programs through algorithm animation, . typographic source-code presentation, and interactive auralization . transforms the hunt for bugs into a cognitively accessible multimedia experience.. 4 MUVA a Flexible Visualization Architecture for Multiple Client Platforms1 Introduction Information visualization is a growing area of interest and research As opposed to traditional data repre 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?. Cherdyntsev E.S.. We have now covered the start and the end of the visualization . pipeline, . namely getting data into the computer, and, on the . human side. , how perception and cognition help us interpret images. .