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Introduction to R By Robert Biddle. About Me Data Professional with over 10 years experience. Hilton Grand Vacations, Orlando Data Architect MCITP Database.

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Presentation on theme: "Introduction to R By Robert Biddle. About Me Data Professional with over 10 years experience. Hilton Grand Vacations, Orlando Data Architect MCITP Database."— Presentation transcript:

1 Introduction to R By Robert Biddle

2 About Me Data Professional with over 10 years experience. Hilton Grand Vacations, Orlando Data Architect MCITP Database Administrator and Developer certified Author for MSSQLTips.com Email: rob.biddle@gmail.comrob.biddle@gmail.com Twitter: @robert_biddle Blog: https://robbiddle.wordpress.com/https://robbiddle.wordpress.com/

3 Agenda What is this thing?? Overview of the Environment Basic Commands Data Types Plots Neat Stuff SQL HTML Application Servers

4 What is R? R is a programming language for statistics and data visualization. It’s commonly used for computation, statistics, data mining, data analysis, and data discovery.

5 Why R? R is free, open source Easy to use Interactive Flexible Fast Active, helpful community Thousands of free add-on packages Increased in popularity Widely used in academia Growing in professional – exceeding SAS and SPSS http://r4stats.com/articles/popularity/

6 SQL Server 2016 http://www.microsoft.com/en-us/server-cloud/products/sql-server-2016/

7 Tools Download and Install: R: http://www.r-project.org/http://www.r-project.org/ Rstudio: http://www.rstudio.com/http://www.rstudio.com/

8 Documentation & Information http://www.r-project.org/ http://rseek.org/ http://www.r-bloggers.com/

9 Demo

10 Contact and References Rob.biddle@gmail.com // @robert_biddle // https://robbiddle.wordpress.com/ Rob.biddle@gmail.com https://robbiddle.wordpress.com/ http://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R- Intro.pdf http://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R- Intro.pdf http://jenstirrup.com/ http://tinyurl.com/o7uw6qh http://rgraphicsdevice.codeplex.com/ http://vnijs.github.io/radiant/ http://shiny.rstudio.com/ http://r4stats.com/articles/popularity/


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