Read a Google Sheet

The Google Sheet is downloaded and read as a temporary Excel file. Arguments other than `drive_path` are passed to read_full_excel.

read_gsheet(
  drive_path,
  col_names = TRUE,
  col_types = "text",
  na = "",
  trim_ws = TRUE,
  skip = 0,
  n_max = Inf,
  guess_max = min(1000, n_max),
  progress = readxl::readxl_progress(),
  .name_repair = "unique"
)

Arguments

drive_path	Dribble, url, or id passed as `path` to the `googledrive package` functions`
col_names	TRUE to use the first row as column names, FALSE to get default names, or a character vector giving a name for each column. If user provides col_types as a vector, col_names can have one entry per column, i.e. have the same length as col_types, or one entry per unskipped column.
col_types	Either NULL to guess all from the spreadsheet or a character vector containing one entry per column from these options: "skip", "guess", "logical", "numeric", "date", "text" or "list". If exactly one col_type is specified, it will be recycled. The content of a cell in a skipped column is never read and that column will not appear in the data frame output. A list cell loads a column as a list of length 1 vectors, which are typed using the type guessing logic from col_types = NULL, but on a cell-by-cell basis.
na	Character vector of strings to interpret as missing values. By default, readxl treats blank cells as missing data.
trim_ws	Should leading and trailing whitespace be trimmed?
skip	Minimum number of rows to skip before reading anything, be it column names or data. Leading empty rows are automatically skipped, so this is a lower bound. Ignored if range is given.
n_max	Maximum number of data rows to read. Trailing empty rows are automatically skipped, so this is an upper bound on the number of rows in the returned tibble. Ignored if range is given.
guess_max	Maximum number of data rows to use for guessing column types.
progress	Display a progress spinner? By default, the spinner appears only in an interactive session, outside the context of knitting a document, and when the call is likely to run for several seconds or more. See readxl_progress() for more details.
.name_repair	Handling of column names. By default, readxl ensures column names are not empty and are unique. If the tibble package version is recent enough, there is full support for .name_repair as documented in tibble::tibble(). If an older version of tibble is present, readxl falls back to name repair in the style of tibble v1.4.2.