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152162478
R Programming R Programming: R Data Analysis and Statistics, Book 2, Paperback
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Item #:
152162478
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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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What Stands Out
Comprehensive Guide
Offers an in-depth exploration of R programming, covering essential data analysis techniques and statistical concepts suited for both beginners and advanced users.
Practical Examples
Incorporates real-world case studies and practical examples, helping readers apply R programming skills effectively for data analysis and interpretation.
User-Friendly Format
Designed in a paperback format for easy reading and reference, making it convenient for learners to explore R programming at their own pace.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2023-05-06 |
| 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 (22.9 cm) |
| Assembled product weight | 0.52 lb (240 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Analysts
Ideal for professionals looking to enhance their skills in data analysis using R programming effectively.
-
Students
Great resource for university students studying statistics or data science who need a practical guide to R.
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Beginner Programmers
Perfect for beginners wanting to learn R, offering clear instructions and examples for foundational understanding.
-
Advanced Users
Not suitable for experienced programmers who require in-depth or advanced programming techniques in R.
Product Description
R Programming R Programming: R Data Analysis and Statistics, Book 2, Paperback
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BHD 13
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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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