مكتبة جامعة عجلون الوطنية

فهرس بحث المكتبة

R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.

By: Contributor(s): Material type: TextPublisher: Beijing ; Sebastopol, CA : O'Reilly, 2023Edition: Second editionDescription: xxiii, 548 pages : illustrations (some color), map (some color) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781492097402
  • 1492097403
Subject(s): DDC classification:
  • 004 23
  • 006.3/12 23
LOC classification:
  • QA276.45.R3 W53 2023
Summary: Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.
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Books مكتبة جامعة عجلون الوطنية QA276.45.R3.W53 2022 (Browse shelf(Opens below)) Available e3979
Books مكتبة جامعة عجلون الوطنية QA276.45.R3.W53 2022 (Browse shelf(Opens below)) Available e3980

Includes bibliographical references (pages 534-535) and index.

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.

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