R for the Rest of Us: A Statistics-Free Introduction
- Length: 256 pages
- Edition: 1
- Language: English
- Publisher: No Starch Press
- Publication Date: 2024-06-25
- ISBN-10: 1718503326
- ISBN-13: 9781718503328
- Sales Rank: #2181256 (See Top 100 Books)
https://livingpraying.com/y2o1tjaa Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more.
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source urlhttps://www.drcarolineedwards.com/2024/09/18/s0rti9d 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.
Order Valium Indiahttps://marcosgerente.com.br/qg6a5alycj Inside you’ll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-word 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.
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https://www.thoughtleaderlife.com/t864spop5 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 tasks
https://www.fandangotrading.com/3qwg8vxs4nc Unlock 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.
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