From 66d4281c1bec5c2dee2ceecf85d279df66a839e4 Mon Sep 17 00:00:00 2001 From: Colin Gillespie Date: Fri, 26 Aug 2016 16:14:17 +0100 Subject: [PATCH] Remove extra `the` (#309) --- transform.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/transform.Rmd b/transform.Rmd index e4ba149..e12fb89 100644 --- a/transform.Rmd +++ b/transform.Rmd @@ -249,7 +249,7 @@ arrange(df, desc(x)) It's not uncommon to get datasets with hundreds or even thousands of variables. In this case, the first challenge is often narrowing in on the variables you're actually interested in. `select()` allows you to rapidly zoom in on a useful subset using operations based on the names of the variables. -`select()` is not terribly useful with the flights the data because we only have 19 variables, but you can still get the general idea: +`select()` is not terribly useful with the flights data because we only have 19 variables, but you can still get the general idea: ```{r} # Select columns by name