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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, (Paperback)
AMD 22217
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Информация о продукте
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2023 |
| Pages | 576 |
| Reading level | Kindergarten |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 2nd Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Translator | No |
| Translated from | No |
| Language | English |
| Edu focus | Engineering |
| Educational level | College |
| Awards won | no |
| Is collectible | N |
| Editor | Garrett Grolemund |
| Binding type | Perfect Binding |
| Digital file format | No |
| Digital reader format | No |
| Digital audio file format | No |
| Narrator | No |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 1.17 x 9.19 in (17.8 x 3 x 23.3 cm) |
| Assembled product weight | 2 lb (910 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Data Science Beginners
Ideal for beginners seeking an accessible introduction to data science concepts using the R programming language.
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Statisticians
Great for statisticians needing practical guidance on using R for data manipulation, visualization, and statistical modeling.
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Analysts Transitioning
Beneficial for analysts transitioning from other software to R, providing hands-on practical examples in data analysis.
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Advanced Users
Not suitable for advanced users who already possess extensive knowledge of R and data science methodologies.
ОПИСАНИЕ ТОВАРА
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, (Paperback)
Вопросы и ответы клиентов
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вопрос:
Как покупать R for Data Science: Import, Tidy, Transform, в Интернете на Ubuy?
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Доступен ли R for Data Science: Import, Tidy, Transform, для покупок в Интернете в Armenia?
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Hadley Wickham Ages 3-5 Kids' Books Editorial Review
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data is a comprehensive paperback guide that dives deep into the fundamentals of data science. This non-fiction book, published by O'Reilly Media in July 2023, spans 576 pages and is ideal for college-level engineering students. The second edition by editor Garrett Grolemund focuses on practical applications, making it an excellent resource for learning how to manipulate and visualize data effectively. Readers appreciate its clear explanations and hands-on approach, which simplifies complex concepts in data science.
Customer Reviews & Ratings
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Плюсы
- Comprehensive guide for data science beginners
- Practical applications with clear explanations
- Ideal for college-level engineering students
- Second edition offers updated content
- User-friendly format for easy understanding
Минусы
- Reading level may seem basic for advanced users
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AMD 22217
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