R for Data Science : Import, Tidy, Transform, Visualize, and Model Data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.
Material type:
TextPublisher: Beijing ; Sebastopol, CA : O'Reilly, 2023Edition: Second editionDescription: xxiii, 550p. : ill. ; 24cmContent type: - text
- unmediated
- volume
- 9789355429827
- Data mining -- Computer programs
- Information visualization -- Computer programs
- R (Computer program language)
- Big data
- Exploration de données (Informatique) -- Logiciels
- Visualisation de l'information -- Logiciels
- R (Langage de programmation)
- Données volumineuses
- Big data
- R (Computer program language)
- Electronic data processing
- Information visualization
- Statistics
- 006.312 WIC 23
- QA276.45.R3 W53 2023
| Item type | Current library | Collection | Call number | Materials specified | Status | Notes | Barcode | |
|---|---|---|---|---|---|---|---|---|
| Reference Book | VIT-AP Reference | Reference | 006.312 WIC (Browse shelf(Opens below)) | Paper Back | Not for loan | CSE | 022489 |
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| 006.312 SCH Doing Data Science / | 006.312 SOM Insight into Data Mining : Theory and Practice | 006.312 TOO R for Data Science : Learn and explore the fundamentals of data science with R | 006.312 WIC R for Data Science : Import, Tidy, Transform, Visualize, and Model Data / | 006.312 WIT Data Mining : Practical Machine Learning Tools and Techniques | 006.32 HAY Neural Networks and Learning Machines | 006.32 LES Mining of Massive Datasets |
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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