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R for the Rest of Us: A Statistics-Free Introduction
90% of respondents would recommend this to a friend
DOP 3993
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Unlock a treasure trove of techniques to transform the way you work.
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Detalles de producto
- 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.
| Publisher | No Starch Press |
| Publication date | June 25, 2024 |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 1718503326 |
| ISBN-13 | 978-1718503328 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.59 x 9.25 inches (17.8 x 1.5 x 23.5 cm) |
Who Should Buy?
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Beginners in R
Ideal for individuals new to R who wish to learn programming without the complexities of statistics.
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Data Enthusiasts
Perfect for casual data users seeking to explore data analysis concepts without requiring deep statistical knowledge.
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Non-specialists
Suitable for professionals from various fields looking to incorporate data analysis into their work without statistics.
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Advanced Statisticians
Not suitable for those who require in-depth statistical analysis or expect detailed statistical methods in R.
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Preguntas y respuestas de los clientes
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Information Management Editorial Review
R for the Rest of Us: A Statistics-Free Introduction offers a fresh perspective on mastering R without the daunting statistics. This novel approach is perfect for newcomers who want to harness the power of this programming language without getting bogged down by complex mathematical concepts. The book, published by No Starch Press, spans 256 pages and presents R in an accessible way, making it ideal for readers from various backgrounds. With examples and practical tips, it effortlessly guides you through the language, ensuring a smoother learning curve. Whether you're a beginner or looking to strengthen your skills, this book serves as a worthwhile resource.
Customer Reviews & Ratings
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5 estrella
65%
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4 estrella
18%
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3 estrella
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2 estrella
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ventajas
- Accessible to beginners without statistics background
- Clear examples facilitate understanding
- Practical tips enhance learning experience
- Well-structured for diverse readers
- Engaging content keeps readers interested
Contras
- Some readers may prefer a more in-depth statistical analysis
Product Price History
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DOP 3993
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características y beneficios
- Learn R programming without prior experience.
- Create informative visualizations effortlessly.
- Generate dynamic reports and interactive websites.
- Manipulate and clean data with user-friendly tools.
- Develop custom functions and packages to enhance functionality.
- No advanced math or statistics knowledge is needed.
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