From 8e84a7890ff85646d8f943a45a08fa4b15649025 Mon Sep 17 00:00:00 2001 From: behrman Date: Mon, 3 Oct 2016 05:16:11 -0700 Subject: [PATCH] Fix typos (#421) * Fix typos * Fix typos --- tibble.Rmd | 2 +- wrangle.Rmd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tibble.Rmd b/tibble.Rmd index 1a7bea3..74093ef 100644 --- a/tibble.Rmd +++ b/tibble.Rmd @@ -16,7 +16,7 @@ library(tibble) ## Creating tibbles {#tibbles} -Almost all of the functions that you'll use in this book produce tibbles as tibbles are one of the unifying features of the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`: +Almost all of the functions that you'll use in this book produce tibbles, as tibbles are one of the unifying features of the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`: ```{r} as_tibble(iris) diff --git a/wrangle.Rmd b/wrangle.Rmd index a8a94a4..7b672bf 100644 --- a/wrangle.Rmd +++ b/wrangle.Rmd @@ -23,7 +23,7 @@ This part of the book proceeds as follows: You'll learn the underlying principles, and how to get your data into a tidy form. -Data wrangling also encompasses data transformation, which you've already learn a little about. Now we'll focus on new skills for three specific types of data you will frequently encounter in practice: +Data wrangling also encompasses data transformation, which you've already learned a little about. Now we'll focus on new skills for three specific types of data you will frequently encounter in practice: * [Relational data] will give you tools for working with multiple interrelated datasets.