PPT-Wrangler: Interactive Visual Specification of Data Transformation Scripts

Presented by Tifany Yung October 5 2015 Before analysis data must be wrangled into a usable form Data wrangling restructure data identifying and correcting erroneousmissing values combining data sources. 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. to Manage Large Data. What is Unix shell script?. A collection . of . unix. commands . may be stored in a file, and . csh. /bash . can be . invoked to . execute the commands in that file. .. Like other programming . what’s in a script – basic language concepts. Disclaimer: This document is provided “as-is”. Information and views expressed in this document, including URL and other Internet Web site references, may change without notice. You bear the risk of using it. This document does not provide you with any legal rights to any intellectual property in any Microsoft product. You may copy and use this document for your internal, reference purposes. © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and Windows Live are trademarks of the Microsoft group of companies. All other trademarks are property of their respective owners. . 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’ . Data. . Exploration . with. . Subjective. Feedback. Kai Puolamäki. , Bo Kang, . Jefrey. . Lijffijt. , . Tijl. De . Bie. ECML PKDD 2016. 21 . September. 2016. kai.puolamaki@ttl.fi. http://www.iki.fi/kaip/ . G. raded” by . Tarique. and me. Available during . Tarique’s. OH. Proposals themselves. We’ve been very critical. Take feedback seriously: come meet us to discuss. Don’t stress about it. Also annotated with the number of class reviews you’ve missed. 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. Kwan-Liu Ma. Department of Computer Science. University of California, Davis. Outline. VA research at . VIDi. UC Davis. VA . education. Mathematics foundations. Training offered by VAST contests. R. กิจศึกษา. บริษัท . เซ็นทรัล. เทรด. ดิ้ง. จำกัด แผนก. . : Wrangler. . บริษัท . เซ็นทรัล. เทรด. 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.