R for the Rest of Us: A Statistics-Free Introduction
Language: English
Published by No Starch Press,US, 2024
- Softcover
- Used
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
AbeBooks seller since December 20, 2007
Condition: Used - Very good
£ 12.06
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Add to basketItem description from seller
For statisticians, R is the go-to programming language for complex numerical analysis - but it comes in handy for a lot more than that. In R Without Statistics you'll discover ways that R can be used by the rest of us! Packed with real-world examples and easy-to-follow coding instructions, it introduces R's application in a wide range of non-statistical tasks, from data visualization and interpreting survey results, to map plotting and automating workloads. Each chapter features an actual R programmer who achieved something novel using the language, and then covers the case study and code samples demonstrating exactly how they did it. Whether it's creating visualizations for Scientific American, applying a consistent theme to BBC graphics, organizing professional government reports, or effectively mapping the spread of COVID-19, R offers a unique way to transform your work.
Seller Inventory # 00109071576
- Title
- R for the Rest of Us: A Statistics-Free Introduction
- Author
- David Keyes
- Publisher
- No Starch Press,US
- Publication year
- 2024
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1718503326
- ISBN 13
- 9781718503328
Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more. Written by the founder of a very popular online training platform for the R programming language!
For statisticians, R is the go-to programming language for complex numerical analysis―but it comes in handy for a lot more than that. In R Without Statistics you’ll discover ways that R can be used by the rest of us! Packed with real-world examples and easy-to-follow coding instructions, it introduces R’s application in a wide range of non-statistical tasks, from data visualization and interpreting survey results, to map plotting and automating workloads.
Each chapter features an actual R programmer who achieved something novel using the language, and then covers the case study and code samples demonstrating exactly how they did it. Whether it’s creating visualizations for Scientific American, applying a consistent theme to BBC graphics, organizing professional government reports, or effectively mapping the spread of COVID-19, R offers a unique way to transform your work.
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About the Author
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World of Books (was SecondSale)
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AbeBooks seller since December 20, 2007
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