These functions return the content of a Drive file as either a string or raw bytes. You will likely need to do additional work to parse the content into a useful R object.
drive_download() is the more generally useful function, but for certain
file types, such as comma-separated values (MIME type text/csv), it can
be handy to read data directly from Google Drive and avoid writing to disk.
Just as for drive_download(), native Google file types, such as Google
Sheets or Docs, must be exported as a conventional MIME type. See the help
for drive_download() for more.
drive_read_string(file, type = NULL, encoding = NULL)
drive_read_raw(file, type = NULL)Something that identifies the file of interest on your Google
Drive. Can be a name or path, a file id or URL marked with as_id(), or a
dribble.
Character. Only consulted if file is a native Google file.
Specifies the desired type of the exported file. Will be processed via
drive_mime_type(), so either a file extension like "pdf" or a full MIME
type like "application/pdf" is acceptable.
Passed along to httr::content(). Describes the encoding of
the input file.
read_drive_string(): a UTF-8 encoded string
read_drive_raw(): a raw() vector
if (FALSE) { # drive_has_token()
# comma-separated values --> data.frame or tibble
(chicken_csv <- drive_example_remote("chicken.csv"))
chicken_csv %>%
drive_read_string() %>%
read.csv(text = .)
# Google Doc --> character vector
(chicken_doc <- drive_example_remote("chicken_doc"))
chicken_doc %>%
# NOTE: we must specify an export MIME type
drive_read_string(type = "text/plain") %>%
strsplit(split = "(\r\n|\r|\n)") %>%
.[[1]]
}