R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel and Garrett Grolemund.
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TextPublication details: Boston: O'Reilly, 2023.Edition: 2nd edDescription: xxiii, 548p. : col., ill. ; 24 cmISBN: - 9781492097402
- 1492097403
- 004 23
- 006.3/12 23
- QA276.45.R3 .W53 2023
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Martin Oduor-Otieno Library This item is located on the library Second Floor | Non-fiction | QA276.45.R3 .W53 2023 (Browse shelf(Opens below)) | 32081/25 | Available | MOOL25050009 |
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| QA276.4 T75 2001 Elementary statistics using Excel / | QA276.4 .W337 1997 An introduction to data analysis : | QA276.45.R3 D35 2008 Introductory statistics with R / | QA276.45.R3 .W53 2023 R for data science : import, tidy, transform, visualize, and model data / | QA276.5 .C6 1999 Sampling techniques / | QA 278 .B96 2000 Structural equation modelling with AMOS : | QA278 .J63 1998 Applied multivariate statistical analysis / |
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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