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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
XPF 15724
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Use R to turn data into insight, knowledge, and understanding—perfect for aspiring data scientists with no programming experience.
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- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data is purchased directly from the publisher or approved distributor and spiraled by a 3rd party. Seller is not affiliated with, endorsed by, or pre-authorized by the publisher or author for the spiral listing. 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 tidyverseâ??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. You'll understand how to: Visualize: Create plots for data exploration and communication of results Transform: Discover variable types and the tools to work with them Import: Get data into R and in a form convenient for analysis Program: Learn R tools for solving data problems with greater clarity and ease Communicate: Integrate prose, code, and results with Quarto
| Publisher | O'Reilly; Spiral-Bound |
| Publication date | July 18, 2023 |
| Edition | 2nd |
| Language | English |
| Print length | 576 pages |
| Item Weight | 2 pounds (910 grams) |
| Dimensions | 7 x 1.17 x 9.19 inches (17.8 x 3 x 23.3 cm) |
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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XPF 15724
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Features & Benefits
- Learn data science with R and RStudio, no prior programming required.
- Updated edition includes recent tidyverse features and best practices.
- Comprehensive steps to import, transform, and visualize data.
- Exercises included to practice and reinforce learning.
- Gain a big-picture understanding of the data science cycle.
- Communicate your data findings effectively with integrated tools.
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