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init factor reboot for 2016

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1 parent c105501 commit e10927b90572eccac190721312a1c62e22cc72e6 @jennybc jennybc committed Oct 5, 2016
@@ -7,7 +7,7 @@ output:
```{r setup, include = FALSE, cache = FALSE}
-knitr::opts_chunk$set(error = TRUE)
+knitr::opts_chunk$set(error = TRUE, collapse = TRUE, comment = "#>")
*Under development*
@@ -18,6 +18,10 @@ We've spent alot of time working with big, beautiful data frames. That are clean
But real life will be much nastier. You will bring data into R from the outside world and discover there are problems. Big problems.
+ * [Stack Exchange outage](
+ * [Regexes to validate/match email addresses](
+ * [Fixing an Atom bug](
Here we discuss common remedial tasks for cleaning and transforming character data, also known as "strings". A data frame or tibble will consist of one or more *atomic vectors* of a certain class. This lesson deals with things you can do with vectors of class `character`.
### Resources
@@ -53,6 +57,7 @@ Encoding
* Screeds on the Minimum Everyone Needs to Know about encoding
- [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)](
- [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](
+ * [Guide to fixing encoding problems in Ruby]( *parking here temporariliy ... looks useful but, obviously, it's about Ruby not R*
### Load stringr
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