 | | 系統號碼 | 985993 | | 書刊名 | R for data science : import, tidy, transform, visualize, and model data / | | 主要著者 | Wickham, Hadley, author. | | 其他著者 | Çetinkaya-Rundel, Mine,;Grolemund, Garrett, | | 出版項 | Sebastopol, CA : O'Reilly, 2023.;Sebastopol, CA : O'Reilly, ©2023 | | 索書號 | QA276.45.R3.W53 2023 | | ISBN | 9781492097402 | | 標題 | Data mining-Computer programs.
Information visualization-Computer programs.
R (Computer program language)
Big data.
Exploration de donne?es (Informatique)-Logiciels. | | | |
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| | 資料類型 | 狀態 | 應還日期 | 預約人數 | 館藏地 | 索書號 | 條碼號 | | 找書 | 圖書 | 在架上 | | 0 | 總館
西文圖書區  | QA276.45.R3 .W53 2023 | W116017 |
| 內容簡介 | "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" --Back cover. |
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