๐คฃ "Meme"
: If it's part of a Springer series, you might access it through an institutional login (university/library). Search directly on link.springer.com.
Because it is so heavily tied to the Tidyverse, users working in legacy codebases that rely strictly on base R or older packages (like reshape2 or plyr ) will find less direct utility. While the Tidyverse is the industry standard for data science, a comparison of methods could have been useful for those maintaining older systems.
Many coding manuals are merely syntax references. Santos excels at explaining the logic behind data transformations. He discusses the difference between "wide" and "long" formats clearly and explains why a specific dataset needs to be structured a certain way for plotting or modeling.
: Try ResearchGate, Academia.edu, or Google Scholar โ authors sometimes upload PDFs there.
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๐คฃ "Meme"
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: If it's part of a Springer series, you might access it through an institutional login (university/library). Search directly on link.springer.com.
Because it is so heavily tied to the Tidyverse, users working in legacy codebases that rely strictly on base R or older packages (like reshape2 or plyr ) will find less direct utility. While the Tidyverse is the industry standard for data science, a comparison of methods could have been useful for those maintaining older systems.
Many coding manuals are merely syntax references. Santos excels at explaining the logic behind data transformations. He discusses the difference between "wide" and "long" formats clearly and explains why a specific dataset needs to be structured a certain way for plotting or modeling.
: Try ResearchGate, Academia.edu, or Google Scholar โ authors sometimes upload PDFs there.