Revise wording

data-import.qmd

@@ -374,7 +374,7 @@ readr provides a total of nine column types for you to use:
 
 -   `col_logical()` and `col_double()` read logicals and real numbers. They're relatively rarely needed (except as above), since readr will usually guess them for you.
 -   `col_integer()` reads integers. We seldom distinguish integers and doubles in this book because they're functionally equivalent, but reading integers explicitly can occasionally be useful because they occupy half the memory of doubles.
--   `col_character()` reads strings. This is sometimes useful to specify explicitly when you have a column that is a numeric identifier, i.e. long series of digits that identifies some object, but it doesn't make sense to (e.g.) divide it in half, for example, a phone number, social security number, credit card number, etc.
+-   `col_character()` reads strings. This can be useful to specify explicitly when you have a column that is a numeric identifier, i.e., long series of digits that identifies an object but doesn't make sense apply mathematical operations to. Examples include phone numbers, social security numbers, credit card numbers, etc.
 -   `col_factor()`, `col_date()`, and `col_datetime()` create factors, dates, and date-times respectively; you'll learn more about those when we get to those data types in @sec-factors and @sec-dates-and-times.
 -   `col_number()` is a permissive numeric parser that will ignore non-numeric components, and is particularly useful for currencies. You'll learn more about it in @sec-numbers.
 -   `col_skip()` skips a column so it's not included in the result, which can be useful for speeding up reading the data if you have a large CSV file and you only want to use some of the columns.