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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

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Length 432 pages
Edition 2nd Edition
Languages
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Author (1):
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Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
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Toc

Table of Contents (12) Chapters Close

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

Summary

The reader should now be clear with the distinct nature of variables that arise in different scenarios. In R, the reader should be able to verify that the data is in the correct format. Furthermore, the important families of random variables are introduced in this chapter, which should help the reader in dealing with them when they crop up in their experiments. Computation of simple probabilities were also introduced and explained.

In the next chapter, the reader will learn how to perform the basic R computations, creating data objects, and so on. As data can seldom be constructed completely in R, we need to import data from external foreign files. The methods explained help the reader to import data in file formats such as .csv and .xls. Similar to importing, it is also important to be able to export data/output to other software. Finally, the R session management will conclude the next chapter.

You have been reading a chapter from
Statistical Application Development with R and Python - Second Edition
Published in: Aug 2017
Publisher:
ISBN-13: 9781788621199
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