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https://dplyr.tidyverse.org/reference/cross_join.html

Cross join — cross_join

Cross joins match each row in x to every row in y, resulting in a data frame with nrow(x) * nrow(y) rows. Since cross joins result in all possible matches between x and y, they technically serve as the basis for all mutating joins, which can generally be thought of as cross joins followed by a filter. In practice, a more specialized procedure is used for better performance.



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Cross join — cross_join

https://dplyr.tidyverse.org/reference/cross_join.html

Cross joins match each row in x to every row in y, resulting in a data frame with nrow(x) * nrow(y) rows. Since cross joins result in all possible matches between x and y, they technically serve as the basis for all mutating joins, which can generally be thought of as cross joins followed by a filter. In practice, a more specialized procedure is used for better performance.



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https://dplyr.tidyverse.org/reference/cross_join.html

Cross join — cross_join

Cross joins match each row in x to every row in y, resulting in a data frame with nrow(x) * nrow(y) rows. Since cross joins result in all possible matches between x and y, they technically serve as the basis for all mutating joins, which can generally be thought of as cross joins followed by a filter. In practice, a more specialized procedure is used for better performance.

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