Book Image

RStudio for R Statistical Computing Cookbook

By : Andrea Cirillo
Book Image

RStudio for R Statistical Computing Cookbook

By: Andrea Cirillo

Overview of this book

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.
Table of Contents (15 chapters)
RStudio for R Statistical Computing Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
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 showing a correlation...