Introduction-To-R-For-Business-Intelligence

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Introduction-To-R-For-Business-Intelligence

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Code repository for Introduction To R For Business Intelligence, published by Packt

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# Introduction-To-R-For-Business-Intelligence

This is the code repository for [Introduction to R for Business Intelligence](https://www.packtpub.com/big-data-and-business-intelligence/introduction-r-business-intelligence?utm_source=github&utm_medium=repository&utm_campaign=9781785280252), published by Packt Publishing. It contains all the supporting code files necessary to work through the book from start to finish.

##Instructions and Navigation

All of the code is organized into chapter-wise folders. For example, Chapter 1.

You need the R statistical package, available free as an open source download from CRAN (https://www.r-project.org/). This book used R version 3.3.1 for Windows. You will get the same results using the macOS or Linux software.
Optionally, it is also recommended that you use RStudio Desktop, an open source user interface that works with R (https://www.rstudio.com/). This book used version 0.99.903 for Windows. It is also available for macOS and Linux.
Lastly, you will need to install a variety of R packages to perform the various analyses. All these are all freely available using the install.packages() function within R.

#####Code snippet example is as follows:

```
message("Introduction to R for Business Intelligence
        Chapter 1 - Extract, Transform, and Load
        Copyright (2016) Packt Publishing \n
        This is your introduction to ETL")
```

## Related Business Intelligence books
* [Python Business Intelligence Cookbook](https://www.packtpub.com/application-development/python-business-intelligence-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781785287466)
* [Practical Business Intelligence](https://www.packtpub.com/big-data-and-business-intelligence/practical-business-intelligence?utm_source=github&utm_medium=repository&utm_campaign=9781785885433)
### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to claim your free PDF.
 <a href="https://packt.link/free-ebook/9781785280252">https://packt.link/free-ebook/9781785280252 </a>

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