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- R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
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152162478
R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
86% of respondents would recommend this to a friend
Item #:
152162478
PYG 258591
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R Programming: Data Analysis and Statistics is a beginner-friendly book that covers everything from the basics to more complex problems.
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2023 |
| Pages | 172 |
| Subgenre | Programming |
| Series title | R Programming |
| Number in series | 2 |
| Edition | 1 |
| Publisher | Ladoo Publishing LLC |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9 in |
| Assembled product weight | 0.52 lb (240 grams) |
| Bisac subject heading | Computers |
Product Description
R Programming R Programming: R Data Analysis and Statistics, Book 2, (Paperback)
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Andy Vickler All Books Editorial Review
R Programming: R Data Analysis and Statistics, Book 2, (Paperback) offers a comprehensive insight into the world of data analysis using R, making it an essential resource for anyone interested in computing and statistics. This non-fiction book contains 172 pages of valuable content published in May 2023 by Ladoo Publishing LLC. Readers will appreciate the structured approach to programming and data interpretation, along with its user-friendly layout that enhances learning. As part of the R Programming series, it caters to both beginners and intermediate users, fostering a deeper understanding of statistical concepts and their applications.
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Pros
- Comprehensive resource for data analysis
- User-friendly layout for effective learning
- Ideal for beginners and intermediates
- Part of a structured programming series
- Well-focused on practical applications
Cons
- Limited to computing and programming topics
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Features & Benefits
- Beginner-friendly approach to statistical computing.
- Covers basics and complex topics in R programming.
- No prior statistical knowledge required.
- Includes data manipulation and visualization techniques.
- Ideal for both beginners and advanced programmers.
- Learn to analyze large datasets effectively.
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