Synopsis
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
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.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. 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!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!The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you.Inside you'll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-world applications that you can put to use right away. You'll learn how to create informative visualizations, streamline report generation, and develop interactive websites-whether you're a seasoned R user or have never written a line of R code.You'll also learn how to-. Manipulate, clean, and parse your data with tidyverse packages like dplyr and tidyr to make data science operations more user-friendly. Create stunning and customized plots, graphs, and charts with ggplot2 to effectively communicate your data insights. Import geospatial data and write code to produce visually appealing maps automatically. Generate dynamic reports, presentations, and interactive websites with R Markdown and Quarto that seamlessly integrate code, text, and graphics. Develop custom functions and packages tailored to your specific needs, allowing you to extend R's functionality and automate complex tasksUnlock a treasure trove of techniques to transform the way you work. With R for the Rest of Us, you'll discover the power of R to get stuff done. No advanced statistics degree required. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718503328
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Paperback. Condition: New. 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 # LU-9781718503328
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