PPT-Time Series Data Visualization

Time Series Data A time series is a series of data points indexed or listed or graphed in time order Most commonly a time series is a sequence taken at successive equally spaced points in time Thus it is a sequence of discretetime data. 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. INLS 507: Information Visualization . Brad . Hemminger. What do you know about visualizations?. Name some types of visualizations?. When did they first appear? . William . Playfair. : the first data chart. 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. Nicholas Del . Rio. University of Texas at El Paso Computer Science. Workshop Objectives. U. nderstand . notion . and purpose of visualization . queries. Understand why writing queries may be easier that writing visualization programs. 2014 Summer Internship - Tetherless World Constellation. Sumithra Gnanasekar. Lakshmi Chenicheri. Objective. Visualize Minimum Information about a Marker Gene Sequence (. MiMarks. ) compliant datasets. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER . GRAPHICS, . DECEMBER 2012. Authors:. . Christian . Tominski. Heidrun. Schumann. Gennady . Andrienko. Natalia . Andrienko. BY:. Farah . Kamw. Introduction. Creates interactive visualization . and dashboards . Fast and easy to use. Connect to any . data regardless . of its size and . complexity. To present . data from multiple sources. It gives . you . the ability . Representing programs through algorithm animation, . typographic source-code presentation, and interactive auralization . transforms the hunt for bugs into a cognitively accessible multimedia experience.. iPhone. Capstone Team#5. Fall 2009. Table of Contents. Topic. Slide Number. Team information. ………………………………………………3. Instructor/Mentors Information. ………………………………………………4. ParaViewWeb. Web3D – . Paris 2011. Julien. . Jomier. , . Kitware. . julien.jomier@kitware.com. Motivation. Acquiring Data (2). Tissue rotates. Knife advances. This tissue ribbon is collected by a submerged conveyor belt. 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. . When working with data, it is often useful to display that data in a graphical format.. This can often help us to see correlations, trends, or other relationships in the data that looking at the raw data doesn't make apparent.. Jamal . Alsakran. . Kent . State University, . Ohio. Ye Zhao . Kent . State University, Ohio . . Yang . Chen . University . of North Carolina -.