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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

In this chapter, we will provide tools for the last part of your data-analysis project: result sharing. This is a relevant phase since your work will give no added value if you do not effectively communicate it.

You know this is true, but how do you do it?

The answer to this question can be split into two parts:

  • The marketing part
  • The technical part

Let’s first briefly address the first part, since the second one will be addressed throughout the chapter. Talking about the marketing part, I refer to all those strategies and activities you perform to sell your product better. Your product is your job, and if you don’t sell it properly, nobody is going to buy it and you would have wasted your time.

This is not the right place to address the point in a proper and complete way, but let me stress at least two points:

  • Do not show data, tell a story with it: I know you are really proud of having found a unexpected correlation between that variable and your revenues, but just...
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