Informationen zum Autor David Keyes is the founder and CEO of R for the Rest of Us (rfortherestofus.com), which offers online courses, workshops, and custom training sessions that help organizations take control of their data. He has a PhD in anthropology from UC San Diego, as well as a master's degree in education from Ohio State, and has dedicated his professional life to teaching people to embrace R as the most powerful tool for data analysis and visualization. Klappentext 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 analysisbut 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. Zusammenfassung 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 analysisbut 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. Inhaltsverzeichnis Introduction Part 1: Visualizations Chapter 1: An R Programming Crash Course Chapter 2: Principles of Data Visualization Chapter 3: Making Your Own ggplot Theme Chapter 4: Creating Maps Chapter 5: Crafting High-Quality Tables Part 2: Reports, Presentations, and Websites Chapter 6: Writing Reports in R Markdown Chapter 7: Using Parameters to Automate Reports Chapter 8: Making Slideshows with xarigan Chapter 9: Building Websites with distill Chapter 10: Reproducible Reporting with Quarto Part 3: Automation and Collaboration Chapter 11: Accessing Online Data Chapter 12: Creating Your Own R Packages...

Inhalt
Introduction
Part 1: Visualizations
Chapter 1: An R Programming Crash Course
Chapter 2: Principles of Data Visualization
Chapter 3: Making Your Own ggplot Theme
Chapter 4: Creating Maps
Chapter 5: Crafting High-Quality Tables
Part 2: Reports, Presentations, and Websites
Chapter 6: Writing Reports in R Markdown
Chapter 7: Using Parameters to Automate Reports
Chapter 8: Making Slideshows with xarigan
Chapter 9: Building Websites with distill
Chapter 10: Reproducible Reporting with Quarto
Part 3: Automation and Collaboration
Chapter 11: Accessing Online Data
Chapter 12: Creating Your Own R Packages