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Viewing Practical Computing Expos onlyView Full Program
Saturday, February 22
PCE1 Introduction to Visual Analytics and Analyzing Big Data
Sat, Feb 22, 1:30 PM - 3:30 PM
Bayshore I
Instructor(s): Tom Bohannon, SAS; Michael Speed, SAS
This course teaches the basics of exploring data and building reports using SAS Visual Analytics and High Performance Techniques.

PCE2 Hear What Your Data is Telling You with JMP & JMP Pro 11
Sat, Feb 22, 1:30 PM - 3:30 PM
Palma Ceia I
Instructor(s): Scott Lee Wise, SAS Institute Inc., JMP Business Division
New JMP & JMP Pro 11 software from the SAS Institute will help make finding the story in your data faster and easier. Newly available techniques will allow you to really separate the signal from the noise (get robust, handle messy data, etc.) and follow clues to new breakthroughs (transform variables, screen important variables, etc.). These customer-inspired advances will really help speed up the pace of discovery, from data import to analysis to presentation.

PCE3 Statistical Analysis and Data Visualization Using Statgraphics
Sat, Feb 22, 1:30 PM - 3:30 PM
Bayshore VI
Instructor(s): Neil W. Polhemus, Statpoint Technologies, Inc.
This presentation will demonstrate techniques for the analysis and visualization of data using Statgraphics. It will cover methods for modeling a single variable, comparing multiple samples, visualizing multivariate data, determining relationships between variables, and modeling time series data. It also will consider graphical methods that are useful for constructing and analyzing designed experiments. Special attention will be devoted to Statlets, a set of procedures added to the latest version of Statgraphics that use graphical methods in a dynamic fashion. The presentation will include a set of Statlets created to interactively select good statistical models. The methodologies covered are applicable to all data analysts and will be demonstrated using data of the types commonly used in practice.