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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc.
2023
|
| Edition: | 2nd edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492097396/?ar |
| 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. |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource (576 pages) illustrations |
Staff View
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| spelling | Wickham, Hadley VerfasserIn aut R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund 2nd edition. Sebastopol, CA O'Reilly Media, Inc. 2023 1 online resource (576 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references 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. Data mining Computer programs Information visualization Computer programs R (Computer program language) Big data Databases Exploration de données (Informatique) ; Logiciels Visualisation de l'information ; Logiciels R (Langage de programmation) Données volumineuses Information visualization ; Computer programs Çetinkaya-Rundel, Mine VerfasserIn aut Grolemund, Garrett VerfasserIn aut |
| spellingShingle | Wickham, Hadley Çetinkaya-Rundel, Mine Grolemund, Garrett R for data science import, tidy, transform, visualize, and model data Data mining Computer programs Information visualization Computer programs R (Computer program language) Big data Databases Exploration de données (Informatique) ; Logiciels Visualisation de l'information ; Logiciels R (Langage de programmation) Données volumineuses Information visualization ; Computer programs |
| title | R for data science import, tidy, transform, visualize, and model data |
| title_auth | R for data science import, tidy, transform, visualize, and model data |
| title_exact_search | R for data science import, tidy, transform, visualize, and model data |
| title_full | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund |
| title_fullStr | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund |
| title_full_unstemmed | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund |
| title_short | R for data science |
| title_sort | r for data science import tidy transform visualize and model data |
| title_sub | import, tidy, transform, visualize, and model data |
| topic | Data mining Computer programs Information visualization Computer programs R (Computer program language) Big data Databases Exploration de données (Informatique) ; Logiciels Visualisation de l'information ; Logiciels R (Langage de programmation) Données volumineuses Information visualization ; Computer programs |
| topic_facet | Data mining Computer programs Information visualization Computer programs R (Computer program language) Big data Databases Exploration de données (Informatique) ; Logiciels Visualisation de l'information ; Logiciels R (Langage de programmation) Données volumineuses Information visualization ; Computer programs |
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