| 期刊全稱 | Beginning Data Science in R 4 | | 期刊簡(jiǎn)稱 | Data Analysis, Visua | | 影響因子2023 | Thomas Mailund | | 視頻video | http://file.papertrans.cn/183/182296/182296.mp4 | | 發(fā)行地址 | Gives you everything you need to know to get started in data science using R language.Updated for R programming language version 4.0.A unique book by a data science expert and is based on a successful | | 圖書封面 |  | | 影響因子 | Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.?.Beginning Data Science in R 4, Second Edition.?details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.?.Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you‘ll have what you need to get started with R programming with data science applications.? Source code will be available to support your next projects as well..Source code is available at github.com/Apress/beg-data-science-r4..What You Will Learn.Perform data science and analytics using statistics and the R programming language.Visualize and explore data, including working with large data | | Pindex | Book 2022Latest edition |
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