Description
| Product ID: | 9781718503328 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | R for the Rest of Us |
| Subtitle: | A Statistics-Free Introduction |
| Authors: | Author: David Keyes |
| Page Count: | 232 |
| Subjects: | Mathematical and statistical software, Mathematical & statistical software |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | No Starch Press,US |
| Publisher Name: | No Starch Press,US |
| Country of Publication: | GB |
| Publishing Date: | 2024-06-25 |