R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.
Material type:
- text
- unmediated
- volume
- 9781492097402
- 1492097403
- 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
- 004 23
- 006.312 WIC 23 24673
- QA276.45.R3 W53 2023
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
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COMSATS University Wah Campus | 006.312 WIC 24673 (Browse shelf(Opens below)) | Available | 10004000024673 |
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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