Iterating on iteration

data-import.qmd

@@ -233,7 +233,7 @@ There are a few good reasons to favor readr functions over the base equivalents:
     read_csv("a;b\n1;3")
     ```
 
-## Reading data from multiple files
+## Reading data from multiple files {#sec-readr-directory}
 
 Sometimes your data is split across multiple files instead of being contained in a single file.
 For example, you might have sales data for multiple months, with each month's data in a separate file: `01-sales.csv` for January, `02-sales.csv` for February, and `03-sales.csv` for March.
@@ -248,11 +248,11 @@ With the additional `id` parameter we have added a new column called `file` to t
 This is especially helpful in circumstances where the files you're reading in do not have an identifying column that can help you trace the observations back to their original sources.
 
 If you have many files you want to read in, it can get cumbersome to write out their names as a list.
-Instead, you can use the `dir_ls()` function from the [fs](https://fs.r-lib.org/) package to find the files for you by matching a pattern in the file names.
+Instead, you can use the base `dir()` function to find the files for you by matching a pattern in the file names.
+You'll learn more about these patterns in @sec-strings.
 
 ```{r}
-library(fs)
-sales_files <- dir_ls("data", glob = "*sales.csv")
+sales_files <- dir("data", pattern = "sales\\.csv$", full.names = TRUE)
 sales_files
 ```