26 lines
1.1 KiB
Plaintext
26 lines
1.1 KiB
Plaintext
# Preface to the second edition {.unnumbered}
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Welcome to the second edition of "R for Data Science".
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## Major changes {.unnumbered}
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- The first part is renamed to "whole game" to reflect the entire data science cycle.
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It gains a new chapter that briefly introduces the basics of reading data from csv files.
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- The wrangle part is now transform and gains new chapters on numbers, logical vectors, and missing values.
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These were previously parts of the data transformation chapter, but needed much more room.
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- We've added new chapters on column-wise and row-wise operations.
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- We've added a new set of chapters on import that goes beyond importing rectangular data to include chapters on working with spreadsheets, databases, and scraping data from the web.
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- The modeling part has been removed.
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For modeling, we recommend using packages from [tidymodels](https://www.tidymodels.org/) and reading [Tidy Modeling with R](https://www.tmwr.org/) by Max Kuhn and Julia Silge to learn more about them.
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- We've switched from the magrittr pipe to the base pipe.
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## Acknowledgements {.unnumbered}
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*TO DO: Add acknowledgements.*
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