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RStudio for R Statistical Computing Cookbook

You're reading from   RStudio for R Statistical Computing Cookbook Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781784391034
Length 246 pages
Edition 1st Edition
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Author (1):
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Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
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Table of Contents (10) Chapters Close

Preface 1. Acquiring Data for Your Project 2. Preparing for Analysis – Data Cleansing and Manipulation FREE CHAPTER 3. Basic Visualization Techniques 4. Advanced and Interactive Visualization 5. Power Programming with R 6. Domain-specific Applications 7. Developing Static Reports 8. Dynamic Reporting and Web Application Development Index

Introduction


This final chapter will add some advanced communication tools to your programmer toolkit. These tools will enable you to show your analytics work in the best possible way.

We are going to deepen our knowledge of R Markdown, the RStudio version of the markup language markdown introduced in Chapter 7, Developing Static Reports. R Markdown integrates the core features of this language with some powerful facilities for R code integration.

This language will let us create dynamic and parametrized reports, perfect for periodical reporting activity, such as doing market surveys and audit follow-ups.

We will always meet RPubs in the results-sharing field. It is an online publication platform perfectly integrated with RStudio, which will let you publish your work directly from your favorite IDE by just hitting a button.

Finally, we will explore the ever-expanding world of Shiny, the web application framework provided by RStudio.

Within this field, we will touch upon the advanced topic of...

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