Data Analytics in Accounting \nAn R Programming Approach
Preface
- How to Read this Book
- Structure of the Book
Acknowledgements
About the Author
1 Introduction
- 1.1 Data Analytics
- 1.2 Data Analytics & Accountancy
2 R Programming - A Great Tool for Data Science
- 2.1 Starting with R Program
  - 2.1.1 Installing R
  - 2.1.2 Installing RStudio
- 2.2 Data Analytics Ecosystem in R
3 Getting Data into R
4 Data Wrangling
5 Exploratory Data Analysis (EDA)
6 Data Visualization
7 Data Modeling
8 Communication of Analytics: An Rmarkdown Approach
- Learning Objectives
- 8.1 What is Rmarkdown
9 Communication of Analytics: A Shiny Approach
- Learning Objectives
- 9.1 Introduction to R Shiny
10 Conclusion
Appendix
A Appendix A
- A.1 Basic Data Structure in R
B Appendix B
References
Published with bookdown

Data Analytics in Accounting
An R Programming Approach

Chapter 7 Data Modeling

This is the ___ real chapter. The best link for modelling in R - https://ademos.people.uic.edu/