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Statistical Application Development with R and Python

You're reading from Statistical Application Development with R and Python Develop applications using data processing, statistical models, and CART

Product type Paperback

Published in Aug 2017

Publisher

ISBN-13 9781788621199

Length 432 pages

Edition 2nd Edition

Languages

Python

Concepts

Application Development

Author (1):

Prabhanjan Narayanachar Tattar

View More author details

Table of Contents (12) Chapters

Preface

1. Data Characteristics FREE CHAPTER

2. Import/Export Data

3. Data Visualization

4. Exploratory Analysis

5. Statistical Inference

6. Linear Regression Analysis

7. Logistic Regression Model

8. Regression Models with Regularization

9. Classification and Regression Trees

10. CART and Beyond

Index

Packages and settings – R and Python

First, we load the essential R packages:

Load the R packages lattice, qcc, ggplot2, and RSADBE:

> library(lattice)
> library(qcc)
  __ _  ___ ___ 
 / _  |/ __/ __|  Quality Control Charts and 
| (_| | (_| (__   Statistical Process Control
 \__  |\___\___|
    |_|           version 2.7
Type 'citation("qcc")' for citing this R package in publications.
Warning message:
package 'qcc' was built under R version 3.4.1 
> library(ggplot2)
> library(RSADBE)

The packages required for Python session are os, matplotlib, pandas, and numpy, and they are imported in the following:

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