Import fixes

import.Rmd

@@ -126,7 +126,7 @@ If you've used R before, you might wonder why we're not using `read.csv()`. Ther
     use `read_delim()` instead. What arguments do you need to specify
     to read the following text into a data frame?
     
-    ```{r}
+    ```{r, eval = FALSE}
     "x,y\n1,'a,b'"
     ```
     
@@ -330,8 +330,8 @@ Day
 : `%e` (optional leading space).
 
 Time
-: `%H` 0-24 hour.
-: `%I` 1-12, must be used with `%p`.
+: `%H` 0-23 hour.
+: `%I` 0-12, must be used with `%p`.
 : `%p` AM/PM indicator.
 : `%M` minutes.
 : `%S` integer seconds.
@@ -382,8 +382,8 @@ parse_date("1 janvier 2015", "%d %B %Y", locale = locale("fr"))
     d1 <- "January 1, 2010"
     d2 <- "2015-Mar-07"
     d3 <- "06-Jun-2017"
-    d4 <- "August 19 (2015)"
-    d5 <- "12/30/14" # Dec 12, 2014
+    d4 <- c("August 19 (2015)", "July 1 (2015)")
+    d5 <- "12/30/14" # Dec 30, 2014
     t1 <- "1705"
     t2 <- "11:15:10.12 PM"
     ```
@@ -599,7 +599,7 @@ This makes csvs a little unreliable for caching interim results - you need to re
     #> # ... with 1,994 more rows
     ```
 
-feather tends to be faster than rds and is usable outside of R. `rds` supports list-columns (which you'll learn about in [[Many models]]), which feather currently does not.
+feather tends to be faster than rds and is usable outside of R. `rds` supports list-columns (which you'll learn about in [Many models]), which feather currently does not.
 
 ```{r, include = FALSE}
 file.remove("challenge-2.csv")