Practical data science with R

Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and dat...

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Bibliographic Details
Other Authors: Zumel, Nina, author (author), Thomas, Rachel L. (Rachel Lee), 1983- writer of foreword (writer of foreword), Mount, John (Computational scientist), author, Howard, Jeremy, writer of foreword
Format: eBook
Language:Inglés
Published: Shelter Island, New York : Manning [2020]
Edition:Second edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631281006719
Description
Summary:Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations.
Item Description:Previous edition published: 2014.
Physical Description:1 online resource (568 pages)
Bibliography:Includes bibliographical references (pages 519-521) and index.
ISBN:9781638352747