Book Image

Statistical Application Development with R and Python - Second Edition

Book Image

Statistical Application Development with R and Python - Second Edition

Overview of this book

Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. 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. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code, and further enhanced by Python. The data analysis journey begins with exploratory analysis, which is more than simple, descriptive, data summaries. You will then apply linear regression modeling, and end with logistic regression, CART, and spatial statistics. By the end of this book you will be able to apply your statistical learning in major domains at work or in your projects.
Table of Contents (19 chapters)
Statistical Application Development with R and Python - Second Edition
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Acknowledgment

I would like to thank the readers and reviewers of the first edition and it is their constructive criticism that a second edition has been possible. The R and Python open source community deservers a huge applause for making the software so complete that it is almost akin to rubbing a magical lamp.

I continue to express my gratitude to all the people mentioned in the previous edition. My family has been at the forefront as always in extending their cooperation and whenever I am working on a book, they understand the weekends would have to be spent on the idiot box.

Profs. D. D. Pawar and V. A. Jadhav were my first two Statistics teachers and I learnt my first craft from them during 1996-99 at Department of Statistics, Science College, Nanded. Prof. Pawar had been very kind and generous towards me and invited in March 2015 to deliver some R talks from the first edition. Even 20 years later they are the flag-bearers of the subject in the Marathawada region and it is with profound love and affection that I express my gratitude to both of them. Thank you a lot, sirs.

It was a mere formal dinner meeting with Tushar Gupta in Chennai a month ago and we thought of getting the second edition. We both were convinced that if we work in sync, do parallel publication processing, we would finish this task within a month. And it has been a roller-coaster ride with Menka Bohra, Snehal Kolte, and Dharmendra Yadav that the book is a finished product in a record time. My special thanks to this wonderful Packt team.