An edition of Applied Univariate, Bivariate, and Multivariate Statistics Using Python (2021)

Applied Univariate, Bivariate, and Multivariate Statistics Using Python

A Beginner's Guide to Advanced Data Analysis

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Cover of: Applied Univariate, Bivariate, and Multivariate Statistics Using Python by Daniel J. Denis, Daniel J. Denis
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Last edited by MARC Bot
December 9, 2022 | History
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An edition of Applied Univariate, Bivariate, and Multivariate Statistics Using Python (2021)

Applied Univariate, Bivariate, and Multivariate Statistics Using Python

A Beginner's Guide to Advanced Data Analysis

by

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Publish Date
Publisher
Wiley & Sons, Limited, John
Language
English

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Buy this book

Subjects

Statistics Software Multivariate analysis Python (Computer program language) Analyse multivariée Python (Langage de programmation)
Edition Availability
Cover of: Applied Univariate, Bivariate, and Multivariate Statistics Using Python
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis
2021, Wiley & Sons, Limited, John
in English
Cover of: Applied Univariate, Bivariate, and Multivariate Statistics Using Python
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis
2021, Wiley & Sons, Incorporated, John
in English
Cover of: Applied Univariate, Bivariate, and Multivariate Statistics Using Python
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis
2021, Wiley & Sons, Incorporated, John
in English
Cover of: Applied Univariate, Bivariate, and Multivariate Statistics Using Python
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis
2021, Wiley & Sons, Incorporated, John
in English

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Book Details

Classifications

Library of Congress
QA276.45.P98D46 2021

The Physical Object

Pagination
304
Weight
0.666

Edition Identifiers

Open Library
OL34649643M
ISBN 13
9781119578147

Work Identifiers

Work ID
OL25266356W

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