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Few typos in EDA, transform, and visualize (#207)

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* minor typos in last exercise in common problems

* unusually easiest -> unusually easy

* move mapping(aes()) into geom to match other ggplot calls

* wording suggestion in exercise + typo fix

* feel be free -> feel free

* and new dataset -> and a new dataset, missing a

* dplyr overwrite's'
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Mine Cetinkaya-Rundel
2016-07-29 08:36:57 -04:00
committed by Hadley Wickham
parent 8357e455f9
commit 1187b85e01
3 changed files with 9 additions and 9 deletions
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transform.Rmd
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@@ -2,7 +2,7 @@
## Introduction
Visualisation is an important tool for insight generation, but it is rare that you get the data in exactly the right form you need. Often you'll need to create some new variables or summaries, or maybe you just want to rename the variables or reorder the observations in order to make the data a little easier to work with. You'll learn how to do all that (and more!) in this chapter which will teach you how to transform your data using the dplyr package and new dataset on flights departing New York City in 2013.
Visualisation is an important tool for insight generation, but it is rare that you get the data in exactly the right form you need. Often you'll need to create some new variables or summaries, or maybe you just want to rename the variables or reorder the observations in order to make the data a little easier to work with. You'll learn how to do all that (and more!) in this chapter which will teach you how to transform your data using the dplyr package and a new dataset on flights departing New York City in 2013.
### Prerequisites
@@ -14,7 +14,7 @@ library(nycflights13)
library(ggplot2)
```
Take careful note of the message that's printed when you load dplyr - it tells you that dplyr overwrite some functions in base R. If you want to use the base version of these functions after loading dplyr, you'll need to use their full names: `stats::filter()`, `base::intersect()`, etc.
Take careful note of the message that's printed when you load dplyr - it tells you that dplyr overwrites some functions in base R. If you want to use the base version of these functions after loading dplyr, you'll need to use their full names: `stats::filter()`, `base::intersect()`, etc.
### nycflights13