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curated.md

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- [Diving Into Data Science Flipboard](https://flipboard.com/@thiakx/diving-into-data-science-5823ectuy)
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- [OLAP Operation in R](http://architects.dzone.com/articles/olap-operation-r)
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- [Journal of Statistical Software: Tidy data](http://www.jstatsoft.org/v59/i10/paper)
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- [Verzani: simpleR – Using R for Introductory Statistics](http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf/)
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- [Data Visualization packages](http://www.datavis.ca/R/)
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- [Visualization hints: plotting numeric data by groups](http://www.r-bloggers.com/visualization-series-insight-from-cleveland-and-tufte-on-plotting-numeric-data-by-groups/)
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- [Matrix rotation for image and contour plots in R](http://blog.snap.uaf.edu/2012/06/08/matrix-rotation-for-image-and-contour-plots-in-r/)
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- [Fig Data: 11 Tips on How to Handle Big Data in R (and 1 Bad Pun)](http://theodi.org/blog/fig-data-11-tips-how-handle-big-data-r-and-1-bad-pun)
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- [Data from 538](https://github.com/fivethirtyeight/data)
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### Command Line
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### R
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- [Try R](http://tryr.codeschool.com/)
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- [The R Book by Michael J. Crawley](https://archive.org/details/TheRBook/)
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- [Univ. of Calif. Riverside R Programming](http://manuals.bioinformatics.ucr.edu/home/programming-in-r#TOC-R-Basics)
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- [G. Sanchez - Strings in R](http://gastonsanchez.com/Handling_and_Processing_Strings_in_R.pdf)
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- [The Lubridate Package](http://www.jstatsoft.org/v40/i03/paper)
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- [Google Developers R Programming Video Lectures](http://www.r-bloggers.com/google-developers-r-programming-video-lectures/)
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- [awesome R](https://github.com/qinwf/awesome-R) - A curated list of awesome R frameworks, packages and software.
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- [awesome machine learning](https://github.com/josephmisiti/awesome-machine-learning#r) - A curated list of awesome Machine Learning frameworks, libraries and software.
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- [Google's R Style Guide](https://google-styleguide.googlecode.com/svn/trunk/Rguide.xml)
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- [Tufte-style HTML in rmarkdown](http://sachsmc.github.io/tufterhandout/)
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- [Creating an R Package](http://hilaryparker.com/2014/04/29/writing-an-r-package-from-scratch/)
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- [Beautiful ggplot2 Cheatsheet](http://zevross.com/blog/2014/08/04/beautiful-plotting-in-r-a-ggplot2-cheatsheet-3/)
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- [Intro to Graphics](http://bcb.dfci.harvard.edu/~aedin/courses/Bioconductor/2.Plotting.pdf)
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- [data.table cheat sheet](https://s3.amazonaws.com/assets.datacamp.com/img/blog/data+table+cheat+sheet.pdf)
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- [Exploratory Data Analysis with data.table](http://varianceexplained.org/RData/lessons/lesson4/)
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- [Fast summary statistics in R with data.table](http://blog.yhathq.com/posts/fast-summary-statistics-with-data-dot-table.html)
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### Probability and Statistics
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- [GitHub - Dealing with Multiple Accounts](http://hmkcode.com/git-tutorial/how-to-deal-with-multiple-github-accounts-on-one-computer/)
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- [Try Git](https://try.github.io/levels/1/challenges/1)
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- [Learn Git Branching: Interactive Game](http://pcottle.github.com/learnGitBranching/)
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- [Atlassian Git Tutorials - Branches](https://www.atlassian.com/git/tutorials/using-branches/)
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### Reproducible Research
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- [Markdown live demo](http://markdown-here.com/livedemo.html)
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- [Boosting Slides by Ron Meir](https://github.com/Aratinga/Misc/blob/master/BoostingTutorial.pdf)
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### Machine Learning
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- [UC Irvine Machine Learning Data Repository](http://archive.ics.uci.edu/ml/)
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### Textbooks
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- [OpenIntro textbook](https://www.openintro.org/stat/textbook.php)
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- [Statlect - The digital textbook on probability and statistics](http://www.statlect.com/)

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