Book Image

Introduction to R for Business Intelligence

By : Jay Gendron
Book Image

Introduction to R for Business Intelligence

By: Jay Gendron

Overview of this book

Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.
Table of Contents (19 chapters)
Introduction to R for Business Intelligence
About the Author
About the Reviewers
R Packages Used in the Book
R Code for Supporting Market Segment Business Case Calculations


Congratulations! You have taken important steps towards making your data analysis more accessible and engaging to a broader audience. Learning how to transfer your R code into a Shiny app will help others understand the power of your analytical prowess.

In this chapter, you learned how to break down the complex task of designing a business intelligence web application into a few key building blocks. The important first step is to recognize the difference between client-side and server-side logic, and how each is composed in the ui.R and server.R files. For the UI, you learned to sketch out a solution, review the widget gallery, and iterate through these two steps to design your user interface. From a server perspective, success comes from understanding reactivity and how each of the inputs should trigger a certain reactive component. You may find it helpful to map out the flow of server-side logic that takes the UI components and links them to reactive components and back to the UI...