Cover art for R Without Statistics
Published
No Starch, July 2024
ISBN
9781718503328
Format
Softcover, 232 pages
Dimensions
23.6cm × 17.7cm

R Without Statistics

Not yet released
Due July 30, 2024.
Fast $7.95 flat-rate shipping!
Only pay $7.95 per order within Australia, including end-to-end parcel tracking.
100% encrypted and secure
We adhere to industry best practice and never store credit card details.
Talk to real people
Contact us seven days a week – our staff are here to help.

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.

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.

Related books