bulkreadr (version 1.2.0)

read_gsheets: Import data from multiple sheets in Google Sheets

Description

The read_gsheets() function imports data from multiple sheets in a Google Sheets spreadsheet and appends the resulting dataframes from each sheet together to create a single dataframe. This function is a powerful tool for data analysis, as it allows you to easily combine data from multiple sheets into a single dataset.

Usage

read_gsheets(ss, col_types = NULL, .id = NULL)

Value

A tibble. If there is any column type mismatch during data frames row binding, an error will occur. This is because R cannot combine columns of different types. For example, you cannot combine a column of integers with a column of characters.

Arguments

ss

Something that identifies a Google Sheet:

• its file id as a string or drive_id

• a URL from which we can recover the id

• a one-row dribble, which is how googledrive represents Drive files

• an instance of googlesheets4_spreadsheet, which is what gs4_get() returns

Processed through as_sheets_id().

col_types

Column types. Either NULL to guess all from the spreadsheet or a string of readr-style shortcodes, with one character or code per column. If exactly one col_type is specified, it is recycled. See Column Specification for more.

.id

The name of an optional identifier column. Provide a string to create an output column that identifies each input. The column will use names if available, otherwise it will use positions.

See Also

googlesheets4::read_sheet() which reads a Google (spread)Sheet into a data frame.

Examples

if (FALSE) { # googlesheets4::gs4_has_token()

sheet_id <- "1izO0mHu3L9AMySQUXGDn9GPs1n-VwGFSEoAKGhqVQh0"

read_gsheets(ss = sheet_id, .id = "sheet.name")

# Column types mismatch error --------------------------------------
# If the `read_gsheets()` function complains about a data type mismatch,
# then set the `col_types` argument to `"c"`.
# This will make all the column types in the resulting dataframe be characters.

# For example,
}
if (FALSE) { # googlesheets4::gs4_has_token()
sheet_id <- "1rrjKAV05POre9lDVtHtZePTa8VROf1onVO47cHnhrTU"

try(read_gsheets(ss = sheet_id)) # error, column types mismatch

read_gsheets(ss = sheet_id, col_types = "c")
}