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Popular pages
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Introduction to dplyr • dplyr
Start here if this is your first time using dplyr. You'll learn the basic philosophy, the most important data manipulation verbs, and the pipe, `%>%`, which allows you to combine multiple verbs to...
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Order rows using column values — arrange • dplyr
arrange() orders the rows of a data frame by the values of selected columns. Unlike other dplyr verbs, arrange() largely ignores grouping; you need to explicitly mention grouping variables (or use .b...
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Column-wise operations • dplyr
Learn how to easily repeat the same operation across multiple columns using `across()`.
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Function reference • dplyr
Superseded Superseded functions have been replaced by new approaches that we believe to be superior, but we don’t want to force you to change until you’re ready, so the existing functions will stay ar...
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Programming with dplyr • dplyr
Most dplyr verbs use "tidy evaluation", a special type of non-standard evaluation. In this vignette, you'll learn the two basic forms, data masking and tidy selection, and how you can program with th...
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Grouped data • dplyr
To unlock the full potential of dplyr, you need to understand how each verb interacts with grouping. This vignette shows you how to manipulate grouping, how each verb changes its behaviour when workin...