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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Detalles Bibliográficos
Otros Autores: 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
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning [2020]
Edición:Second edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631281006719
Descripción
Sumario: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.
Notas:Previous edition published: 2014.
Descripción Física:1 online resource (568 pages)
Bibliografía:Includes bibliographical references (pages 519-521) and index.
ISBN:9781638352747