Hands-On Programming with R: Write Your Own Functions and Simulations (Paperback)
TWD 1686
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Gain valuable programming skills and support your work as a data scientist at the same time.
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What Stands Out
產品詳情
- Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools. RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your computer's memory Write programs and simulations that outperform those written by typical R users Use R programming tools such as if else statements, for loops, and S3 classes Learn how to write lightning-fast vectorized R code Take advantage of R's package system and debugging tools Practice and apply R programming concepts as you learn them
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2014 |
| Pages | 247 |
| Reading level | Professional & Vocational |
| Subgenre | Mathematics |
| Number in series | 1 |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Translator | Noel Fallows |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Assembled product height | 0.75 in |
| Assembled product weight | 0.9 lb (410 grams) |
| Bisac subject heading | Computers, Mathematics |
Who Should Buy?
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Beginner Programmers
Ideal for individuals starting with R programming, offering foundational skills required for data analysis and simulations.
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Data Scientists
Useful for data scientists seeking to enhance their programming abilities in R and automate simulations for data projects.
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Students Learning R
Perfect for university students enrolled in statistics or data science courses who require practical programming experience with R.
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Advanced Users
Not suitable for experienced R programmers, as it may cover basic concepts already known to advanced users.
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Garrett Grolemund All Books Editorial Review
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特色和優勢
- Learn to program in R with a hands-on approach.
- Tackle practical data science problems through projects.
- Write your own functions and simulations.
- Utilize R programming tools effectively.
- Master valuable skills that enhance your data science career.
- Practice coding concepts in real-world applications.
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