PPT-Data Cleaning Workshop: How to Prepare your Data Prior to Analysis

Abby L Braitman Old Dominion University November 1 2019 These slides are available on my website httpsfswpodueduabraitmaworkshops 2 Outline for Today Missing Data Identifying assessing type imputation options. MatLab. Lecture 8:. Solving Generalized Least Squares Problems. . Lecture 01. . Using . MatLab. Lecture 02 Looking At Data. Lecture 03. . Probability and Measurement Error. . Lecture 04 Multivariate Distributions. . Data Dissemination - Further Analysis Workshop. Basic Concepts of Further Analysis. MICS4 Data Dissemination and Further Analysis Workshop. Further Analysis: The Concept. Any finding from the survey not covered by the final report. What’s the purpose of this exercise?. The workshop’s . research questions. :. Who supports war in America?. How consistent is support for conflict across different types of war?. Should we be considering other, related questions? If this project were to be expanded, what could else we look at… . Albania. Artela. . Mitrushi. IDM Albania. SEEDS Workshop I. Belgrade, 13-15 October. 2. SEEDS Workshop I. 13-15.10.2015. Table of Contents. Study . Objective . and . Motivation. Methodology. Instruments Used. Presentation for NAVAIR. Prof. Sam Buttrey. April . 2016. Docs . at . http. ://faculty.nps.edu/sebuttre/home/index.htm. Data Curation: Definition. Data Curation. is the management of the acquisition, cleaning, analysis and storage of data (and information about the data). What’s the purpose of this exercise?. The workshop’s . research . questions. :. Who supports war in America?. How consistent is support for conflict across different types of war?. Should we be considering other, related questions? If this project were to be expanded, what could else we look at… . Presenter: . Gene Woodard. Gene Woodard. Gene Woodard. Director of the Building Services Department (BSD) at the University of Washington . 2. Sponsored by Tennant Company. Presentation Overview. 3. What we will cover today:. Sponsored by Cornell Statistical Consulting Unit. Instructors. Emily . Davenport (Cornell University). Erika . Mudrak (. CSCU. ). Lynn Johnson (CSCU). Assistants. Francoise . Vermeylen. Stephen Parry. MatLab. 2. nd. Edition. Lecture 7:. Prior Information. . Lecture 01. . Using . MatLab. Lecture 02 Looking At Data. Lecture 03 Probability and Measurement Error. Lecture 04 Multivariate Distributions. First, what/who is Bayes?. The Reverend Thomas Bayes was an English statistician, philosopher, and minister. He developed Bayes’ theorem to integrate prior probabilities with new evidence to calculate a posterior probabilities. Exploratory Data Analysis. Slides by:. Joseph E. Gonzalez, . Deb Nolan, & Joe . Hellerstein. jegonzal@berkeley.edu. deborah_nolan. @berkeley.edu. hellerstein@berkeley.edu. ?. Last Lecture. Started discussing exploratory data analysis. Christian Smart, Ph.D., CCEA. Director, Cost Estimating and Analysis. Missile Defense Agency. Introduction. When I was in college, my mathematics and economics professors were adamant in telling me that I needed at least two data points to define a trend. ASA Workshop Helsel and Lee Analysis of Environmental Data With Nondetects cs for censored environmental data Wiley, 2005 ASA Workshop Helsel and Lee Analysis of Environmental Data With Nondetect Jean . Shimer. . and Patti . Fougere. , MA Part C. Karen Walker, WA Part . C. Karie. Taylor, AZ Part C. Abby . Winer, . DaSy. , ECTA. Tony Ruggiero, . DaSy. , . IDC. 2014 Improving Data, Improving Outcomes Conference.