Wrox Programmer to Programmer Beginning R: The Statistical Programming Language, (Paperback)
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2012 |
| Pages | 504 |
| Reading level | Professional & Vocational |
| Subgenre | Languages |
| Series title | Wrox Programmer to Programmer |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.48 x 1.13 x 9.27 in (19 x 2.9 x 23.5 cm) |
| Assembled product weight | 1.85 lb (840 grams) |
| Bisac subject heading | Computers |
Product Description
Wrox Programmer to Programmer Beginning R: The Statistical Programming Language, (Paperback)
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Mark Gardener All Books Editorial Review
Wrox Programmer to Programmer Beginning R: The Statistical Programming Language offers a comprehensive introduction to the R programming language, ideal for those working in fields related to computing and statistics. With 504 pages dedicated to a non-fiction narrative, the book effectively covers the essentials of R, facilitating a professional and vocational reading experience. The paperback format makes it suitable for both learning and reference. Readers highlight its clear explanations and practical examples, making complex statistical concepts more accessible. This guide is structured to benefit programmers seeking to enhance their data analysis skills using R.
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Pros
- Comprehensive introduction to R programming
- Clear explanations of complex concepts
- Contains practical examples for better understanding
- Ideal for professional development
- Part of a reputable programming series
Cons
- Some readers may prefer a digital format over paperback
Product Price History
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Features & Benefits
- Comprehensive guide to mastering the R programming language.
- Perfect for beginners wanting to learn statistical analysis.
- Includes 504 pages of detailed insights and practical examples.
- Published by renowned author Mark Gardener for reliable learning.
- Ideal for programmers wanting to expand their capabilities.
- Get started with R and enhance your data analysis skills.
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