1. Pipelines for Data Analysis

    56:40

    from School of Biomedical Informatics / Added

    22 Plays / / 0 Comments

    Hadley Wickham, PhD Assistant Professor of Statistics Rice University

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    • LISA Short Course: Data Analysis in SAS, Part II

      57:51

      from LISA / Added

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      LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. Tuesday, December 2, 2014, 5:30-7:30 pm; Location: 1080 Torgersen Hall; Instructor: Zhe Bao; Title: Data Analysis in SAS; The “Data analysis in SAS” short course provides an introduction to basic data management and statistical analysis procedures using SAS. The course will be conducted in a computer lab and contains a practical session to allow attendees to write and execute SAS codes and also analyze real-world data along with the instructor. The main goal is to enable attendees to use SAS and choose appropriate statistical methods to analyze their data. The intended audience for this course includes researchers who want to learn basis of SAS and use SAS for statistical analysis in their research. Previous exposure to SAS environment is preferable but not necessary. This course covers: Brief Introduction to SAS Data Manipulation in SAS Basic Summary Statistics Linear regression and ANOVA Logistic regression Data sets: Three real-world data sets will be used to demonstrate SAS’s data analysis capabilities: The first dataset contains 8 variables that show the relationship between public school expenditure and SAT performance. It was extracted from 1997 Digest of Education Statistics, an annual publication of the U.S. Department of Education (www.stat.ucla.edu/labs/datasets/sat.dat). The second dataset contains consumption of petrol in 48 states in 2011. The relevant variables collected for predicting petrol consumption are the petrol tax, the average income per capita, the number of miles of paved highway, and the proportion of the population with driver's licenses in a certain state. The dataset was obtained at http://people.sc.fsu.edu/~jburkardt/datasets/regression/regression.html. It includes 48 rows, each representing a state, and 7 columns. We will explore data manipulation methods and get basic descriptive statistics using these two datasets. Then use the second dataset as an example to fit regression models. The third dataset contains presence/absence of growth of CRA7152 in apple juice as a function of pH (3.5-5.5), Brix (i.e. Sugar content of an aqueous solution, 11-19), temperature (25-50 °C), and Nisin concentration (0-70), as an example of logistic regression. It was obtained from: W.E.L. Pena, P.R. De Massaguer, A.D.G. Zuniga, and S.H. Saraiva (2011). "Modeling the Growth Limit of Alicyclobacillus Acidoterrestris CRA7152 in Apple Juice: Effect of pH, Brix, Temperature, and Nisin Concentration," Journal of Food Processing and Preservation, Vol. 35, pp. 509-517. (www.stat.ufl.edu/~winner/datasets.html) Here is an example of correlation plots produced by SAS using petrol consumption data: lisa.stat.vt.edu/sites/default/files/SAS-Correlation-Plots.png Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/7928).

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      • LISA Short Course: Data Analysis in SAS, Part I

        55:11

        from LISA / Added

        11 Plays / / 0 Comments

        LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. Tuesday, December 2, 2014, 5:30-7:30 pm; Location: 1080 Torgersen Hall; Instructor: Zhe Bao; Title: Data Analysis in SAS; The “Data analysis in SAS” short course provides an introduction to basic data management and statistical analysis procedures using SAS. The course will be conducted in a computer lab and contains a practical session to allow attendees to write and execute SAS codes and also analyze real-world data along with the instructor. The main goal is to enable attendees to use SAS and choose appropriate statistical methods to analyze their data. The intended audience for this course includes researchers who want to learn basis of SAS and use SAS for statistical analysis in their research. Previous exposure to SAS environment is preferable but not necessary. This course covers: Brief Introduction to SAS Data Manipulation in SAS Basic Summary Statistics Linear regression and ANOVA Logistic regression Data sets: Three real-world data sets will be used to demonstrate SAS’s data analysis capabilities: The first dataset contains 8 variables that show the relationship between public school expenditure and SAT performance. It was extracted from 1997 Digest of Education Statistics, an annual publication of the U.S. Department of Education (www.stat.ucla.edu/labs/datasets/sat.dat). The second dataset contains consumption of petrol in 48 states in 2011. The relevant variables collected for predicting petrol consumption are the petrol tax, the average income per capita, the number of miles of paved highway, and the proportion of the population with driver's licenses in a certain state. The dataset was obtained at http://people.sc.fsu.edu/~jburkardt/datasets/regression/regression.html. It includes 48 rows, each representing a state, and 7 columns. We will explore data manipulation methods and get basic descriptive statistics using these two datasets. Then use the second dataset as an example to fit regression models. The third dataset contains presence/absence of growth of CRA7152 in apple juice as a function of pH (3.5-5.5), Brix (i.e. Sugar content of an aqueous solution, 11-19), temperature (25-50 °C), and Nisin concentration (0-70), as an example of logistic regression. It was obtained from: W.E.L. Pena, P.R. De Massaguer, A.D.G. Zuniga, and S.H. Saraiva (2011). "Modeling the Growth Limit of Alicyclobacillus Acidoterrestris CRA7152 in Apple Juice: Effect of pH, Brix, Temperature, and Nisin Concentration," Journal of Food Processing and Preservation, Vol. 35, pp. 509-517. (www.stat.ufl.edu/~winner/datasets.html) Here is an example of correlation plots produced by SAS using petrol consumption data: www.lisa.stat.vt.edu/sites/default/files/SAS-Correlation-Plots.png Course files are available on the course webpage (www.lisa.stat.vt.edu/?q=node/7928).

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        • Humanities Lecture: Dan Edelstein

          56:33

          from TUTV / Added

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          When Stanford’s Dan Edelstein set out to map the social networks of the French Enlightenment, he was uncertain of the efficacy of Gephi and other digital tools typically used to analyze and display similar types of data. In this talk, Edelstein considers methods for conducting social network analysis on humanistic data, using his unique project, Mapping the Republic of Letters, as a case study.

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          • Object-Based Approaches to Remote Sensing Data Analysis

            55:26

            from CCOM JHC / Added

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            From UNH's 2014-2015 CCOM/JHC Seminar Series: Jarlath O'Neil-Dunne of UVM's Spatial Analysis Laboratory presents, "Object-Based Approaches to Remote Sensing Data Analysis." This talk was recorded on Nov. 21, 2014 at UNH's Jere A. Chase Ocean Engineering Laboratory. ABSTRACT Historically, information was derived from images through manual interpretation and analysis. This process, while slow, proved to be highly accurate and reliable. In the 1970s, the advent of digital remote sensing technologies coupled with advances in computer processing led to the development of automated feature extraction techniques. Despite substantial investments in the technology, most automated approaches to remote sensing feature extraction fail to approach the accuracy of good old fashioned manual interpretation. Things, however, are starting to change. Object-based techniques, which have the ability to mimic human cognition, are proving to be highly successful in automating feature extraction, particularly from disparate data sets. This presentation will introduce object-based image analysis concepts and workflows drawing from recent coastal and terrestrial remote sensing projects.

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            • Comprehensive Data Analysis Offered by Digital Publication Software Profit Your Flipping Book

              01:15

              from FlipBuilder / Added

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              http://balice1.blogspot.com/2015/01/the-best-2-flipbook-publishing.html With the advent of professional flip book maker, business and marketers can easily convert all PDF files into digital publication. But that is far from enough. Marketers should pay more attention to the flip book publishing platform which can offer you comprehensive data analysis.

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              • Heureka Webinar - Security, the Growth Engine for eDiscovery Professionals

                59:59

                from Heureka / Added

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                Cybersecurity threats and data breaches cost companies millions of dollars in lost intellectual property, trade secrets and fines from mishandled privacy information. Even worse, hackers increasingly see law firms as an easy target to acquire valuable data on clients. And yet, many security folks still need the expertise gained from the legal/ediscovery world. Heureka and special guest Donald A. Wochna, Esq. discuss the shift from eDiscovery to Security and back again! Some of the topics that will be discussed: Why security is ready for eDiscovery professionals to lead How to leverage processes that will impact security and discovery Why your experience and expertise is desperately needed How to cross the boundary and build your company and your career www.heurekasoftware.com

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                • Data Analysis with Access SQL – ModelOff Solution – Part 3

                  15:20

                  from Excel Strategies / Added

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                  Solution to ModelOff Data Analysis Problem, Using Access SQL. Let's create a solution to the Data analysis problem, using Microsoft Access, or even better, Microsoft’s flavor of the SQL language. Download solution file from: http://blog.excelstrategiesllc.com/2014/11/06/modeloff-data-analysis-problem-solution-using-microsoft-access/ Source file: http://www.modeloff.com/portfolio-item/data-analysis/ Connect with us: http://www.ExcelStrategiesLLC.com http://Blog.ExcelStrategiesLLC.com http://Twitter.com/ExcelStrategies http://Google.com/+ExcelStrategiesLLC1 http://LinkedIn.com/in/ExcelStrategies https://www.facebook.com/pages/Excel-Strategeis-LLC/661461267303127

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                  • Data Analysis with Access SQL – ModelOff Solution – Part 2

                    16:19

                    from Excel Strategies / Added

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                    Solution to ModelOff Data Analysis Problem, Using Access SQL. Let's create a solution to the Data analysis problem, using Microsoft Access, or even better, Microsoft’s flavor of the SQL language. Download solution file from: http://blog.excelstrategiesllc.com/2014/11/06/modeloff-data-analysis-problem-solution-using-microsoft-access/ Source file: http://www.modeloff.com/portfolio-item/data-analysis/ Connect with us: http://www.ExcelStrategiesLLC.com http://Blog.ExcelStrategiesLLC.com http://Twitter.com/ExcelStrategies http://Google.com/+ExcelStrategiesLLC1 http://LinkedIn.com/in/ExcelStrategies https://www.facebook.com/pages/Excel-Strategeis-LLC/661461267303127

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                    • Data Analysis with Access SQL – ModelOff Solution – Part 1

                      13:02

                      from Excel Strategies / Added

                      5 Plays / / 0 Comments

                      Solution to ModelOff Data Analysis Problem, Using Access SQL. Let's create a solution to the Data analysis problem, using Microsoft Access, or even better, Microsoft’s flavor of the SQL language. Download solution file from: http://blog.excelstrategiesllc.com/2014/11/06/modeloff-data-analysis-problem-solution-using-microsoft-access/ Source file: http://www.modeloff.com/portfolio-item/data-analysis/ Connect with us: http://www.ExcelStrategiesLLC.com http://Blog.ExcelStrategiesLLC.com http://Twitter.com/ExcelStrategies http://Google.com/+ExcelStrategiesLLC1 http://LinkedIn.com/in/ExcelStrategies https://www.facebook.com/pages/Excel-Strategeis-LLC/661461267303127

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