Comma after e.g.

spreadsheets.qmd

@@ -43,7 +43,7 @@ Most of readxl's functions allow you to load Excel spreadsheets into R:
 -   `read_xlsx()` read Excel files with `xlsx` format.
 -   `read_excel()` can read files with both `xls` and `xlsx` format. It guesses the file type based on the input.
 
-These functions all have similar syntax just like other functions we have previously introduced for reading other types of files, e.g. `read_csv()`, `read_table()`, etc.
+These functions all have similar syntax just like other functions we have previously introduced for reading other types of files, e.g., `read_csv()`, `read_table()`, etc.
 For the rest of the chapter we will focus on using `read_excel()`.
 
 ### Reading Excel spreadsheets {#sec-reading-spreadsheets-excel}
@@ -314,13 +314,13 @@ For example, Excel has no notion of an integer.
 All numbers are stored as floating points, but you can choose to display the data with a customizable number of decimal points.
 Similarly, dates are actually stored as numbers, specifically the number of seconds since January 1, 1970.
 You can customize how you display the date by applying formatting in Excel.
-Confusingly, it's also possible to have something that looks like a number but is actually a string (e.g. type `'10` into a cell in Excel).
+Confusingly, it's also possible to have something that looks like a number but is actually a string (e.g., type `'10` into a cell in Excel).
 
 These differences between how the underlying data are stored vs. how they're displayed can cause surprises when the data are loaded into R.
 By default readxl will guess the data type in a given column.
 A recommended workflow is to let readxl guess the column types, confirm that you're happy with the guessed column types, and if not, go back and re-import specifying `col_types` as shown in @sec-reading-spreadsheets-excel.
 
-Another challenge is when you have a column in your Excel spreadsheet that has a mix of these types, e.g. some cells are numeric, others text, others dates.
+Another challenge is when you have a column in your Excel spreadsheet that has a mix of these types, e.g., some cells are numeric, others text, others dates.
 When importing the data into R readxl has to make some decisions.
 In these cases you can set the type for this column to `"list"`, which will load the column as a list of length 1 vectors, where the type of each element of the vector is guessed.
 
@@ -632,7 +632,7 @@ write_sheet(bake_sale, ss = "bake-sale", sheet = "Sales")
 While you can read from a public Google Sheet without authenticating with your Google account, reading a private sheet or writing to a sheet requires authentication so that googlesheets4 can view and manage *your* Google Sheets.
 
 When you attempt to read in a sheet that requires authentication, googlesheets4 will direct you to a web browser with a prompt to sign in to your Google account and grant permission to operate on your behalf with Google Sheets.
-However, if you want to specify a specific Google account, authentication scope, etc. you can do so with `gs4_auth()`, e.g. `gs4_auth(email = "mine@example.com")`, which will force the use of a token associated with a specific email.
+However, if you want to specify a specific Google account, authentication scope, etc. you can do so with `gs4_auth()`, e.g., `gs4_auth(email = "mine@example.com")`, which will force the use of a token associated with a specific email.
 For further authentication details, we recommend reading the documentation googlesheets4 auth vignette: <https://googlesheets4.tidyverse.org/articles/auth.html>.
 
 ### Exercises