This is the code repository for Statistical Application Development with R and Python - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
This book explores statistical concepts along with R and Python, which are well integrated from the word go. Almost every concept has an R code going with it which exemplifies the strength of R and applications. The R code and programs have been further strengthened with equivalent Python programs. Thus, you will first understand the data characteristics, descriptive statistics and the exploratory attitude, which will give you firm footing of data analysis. Statistical inference will complete the technical footing of statistical methods. Regression, linear, logistic modeling, and CART, builds the essential toolkit. This will help you complete complex problems in the real world.
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
abline(h=0.33,lwd=3,col="red")
abline(h=0.67,lwd=3,col="red")
abline(v=0.33,lwd=3,col="green")
You will need the following to work with the examples in this book:
- R
- Python
- RStudio