Make small edits

89-Appendix-DataImport.Rmd

@@ -211,7 +211,7 @@ The arguments are:
 * `encoding`: specifies the character encoding of the data file
 * `catalog_encoding`: specifies the character encoding of the catalog file
 * `col_select`: selects specific columns for import
-* `skip` and `n_max`: controls the number of rows skipped and the maximum number of rows imported
+* `skip` and `n_max`: control the number of rows skipped and the maximum number of rows imported
 * `.name_repair`: determines how column names are repaired if they are not valid
 
 In the code examples below, we demonstrate how to import Stata, SPSS, and SAS files into R using the respective {haven} functions. The resulting data are stored in `anes_dta`, `anes_sav`, and `anes_sas`  objects as tibbles, ready for use in R. For the Stata example, we show how to import the data from the {srvyrexploR} package to use in examples.
@@ -490,7 +490,7 @@ durh_pums <- get_pums(
 durh_pums
 ```
 
-In Chapter \@ref(c04-getting-started), we used the {censusapi} package to get data from the Census data API for the Current Population Survey. To discover if there's an R package that directly interfaces with a specific survey or data source, search for "[survey] R wrapper" or "[data source] R package" online.
+In Chapter \@ref(c04-getting-started), we used the {censusapi} package to get data from the Census data API for the Current Population Survey. To discover if there is an R package that directly interfaces with a specific survey or data source, search for "[survey] R wrapper" or "[data source] R package" online.
 
 ## Importing data from databases in R