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Titlebook: Beginning Data Science in R 4; Data Analysis, Visua Thomas Mailund Book 2022Latest edition Thomas Mailund 2022 R.programming.statistics.dat

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發(fā)表于 2025-3-23 10:18:01 | 只看該作者
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發(fā)表于 2025-3-23 16:17:50 | 只看該作者
Book 2022Latest editionthe 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
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發(fā)表于 2025-3-23 20:32:34 | 只看該作者
Introduction to R Programming,onal programming and object-oriented programming features, and learning the complete language is far beyond the scope of this chapter. We return to it later, when we have a little more experience using R. The good news is, though, that to use R for data analysis, we rarely need to do much programmin
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發(fā)表于 2025-3-23 23:20:52 | 只看該作者
Reproducible Analysis,yses, written in various scripts, perhaps saving some intermediate results along the way or maybe always working on the raw data. You create some plots or tables of relevant summaries of the data, and then you go and write a report about the results in a text editor or word processor. This is the ty
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發(fā)表于 2025-3-24 03:59:51 | 只看該作者
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發(fā)表于 2025-3-24 08:11:53 | 只看該作者
Unsupervised Learning,king prediction models. Sometimes, we are just trying to find out what structure is actually in the data we analyze. There can be several reasons for this. Sometimes, unknown structures can tell us more about the data. Sometimes, we want to explicitly avoid unknown structures (if we have datasets th
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發(fā)表于 2025-3-24 12:01:02 | 只看該作者
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