PPT-Big Data Visualization in Intro Stats (in 15 minutes!)

Patti Frazer Lock St Lawrence University Joint Mathematics Meetings January 2017 With help from Robin Lock Kari Lock Morgan Eric Lock Dennis Lock My Assumptions Want students to see how creative and effective and fun data visualization can be . 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. Dr. . Kehui. Chen, Assistant Professor. Dr. Nancy Pfenning, Senior Lecturer. University of Pittsburgh Dept. of Statistics. dB_SERC. August 2015. Summary of Abstract. Proposed developing and conducting use of student response system (“clickers”) for . 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. 2014 Summer Internship - Tetherless World Constellation. Sumithra Gnanasekar. Lakshmi Chenicheri. Objective. Visualize Minimum Information about a Marker Gene Sequence (. MiMarks. ) compliant datasets. Yingcai Xiao. Computation with and without Visual Assistance. 67 x 89 = ? . Visualized Data Analysis. 67. x 89. ---------. 603. + 536. ---------. 5963. . st. quarter 2016/17. Presentation to Portfolio Committee. Pali. . Lehohla. Statistician-General. Stats SA: 1. st. quarter 2016/17. Contents. Policy, Statistics and Decision-making. The Work . Programme. 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 . . . . . . . Let’s get on the same page here.. Data Dashboards offer a visual presentation of Key Performance Indicators (KPI’s) within live data in order to provide Actionable Insights.. What are KPI’s?. 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?. 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 3593 Wis Stats by the Legislative Reference BureauPublished under s 3593 Stats Updated on the first day of each month Entire code is always current The Register date on each pageis the date the chap 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%. 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. .