PPT-Interactive Visual

Data Exploration with Subjective Feedback Kai Puolamäki Bo Kang Jefrey Lijffijt Tijl De Bie ECML PKDD 2016 21 September 2016 kaipuolamakittlfi httpwwwikifikaip . Explore interactive map at Understanding project interdependencies: exploring the role of visual representation, culture, and processage 38 Poskela, J., Dietrich, P., Artto, K.A., 2003. Organizing fo 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. of . Multi-class Scatterplots. Haidong . Chen. , . Wei . Chen, . Honghui. . Mei, . Zhiqi. . Liu, Kun Zhou, . Weifeng. Chen, . Wentao. . Gu. , Kwan-Liu Ma. Motivations. Multi-class scatterplots. Aid comparison. interface states and event-based user actions. Through a few simple and standardized rules, what the user sees (drawn in greys and blacks) and does (drawn in red) are unified into a coherent sketchin Presenting data in new and innovative ways to share . information with different audiences. visual.ons.gov.uk. . digitalpublishing.ons.gov.uk. style.ons.gov.uk. ‘Digging for gold….and not putting it away in a cupboard’ . MotivationTuesday, June 23rd 2015Explorable Visual Analytics (EVA) Motivation1854Cholera outbreak in Soho, London616 DeadNo Germ Theory Miasmatic Theory (bad air)John SnowSpread through ater upply 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. Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. Digital is star performer. Spending increases at double the rate of other media categories. Overall, media spending increased 7% in 2017 over 2016. Digital spending increased 14% during the same period. . Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . Visiting Scholar advisedProf Nan Cao iDVx Lab Designed ECGLens a visualization tool for rrhythmia detection with large scale ECG data 101109/TVCG20213067200 IEEE 2021 C8 Ke XuJun Yuan Yifang Wang Clau Tufts. Remco. Chang. Assistant Professor. Tufts University. Problem Statement. The growth of data is exceeding our ability to analyze them. . The amount of digital information generated in the years 2002, 2006, 2010:. Overview of the body, including chemical and cellular structures. Body-system organization, grouped by function. A focus on visual appeal--perfect for all reading levels and preferences. Rich, comprehensive coverage providing a firm foundation in anatomy & physiology. Consistent pedagogical features in each chapter, including...That Makes Sense boxes offer mnemonics, practical example, and hints to help you remember key information.Fast Facts offer interesting points relating to the body system covered in the chapter.Life Lesson boxes use clinical examples to show how anatomy and physiology relate to daily living.Review of Terms defines key words at the end of each chapter.Multiple-choice review questions.Learning Target exercises help students reinforce what they learned in each chapter.The Body AT WORK explains how specific physiological processes work. Remco. Chang, PhD . (Charlotte Visualization Center) (Tufts University). Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation. Analysis. Values of Visualization. Presentation.