read_excel_workbook: Import data from multiple sheets of an Excel workbook

In bulkreadr: The Ultimate Tool for Reading Data in Bulk

Import data from multiple sheets of an Excel workbook

Description

read_excel_workbook() reads all the data from the sheets of an Excel workbook and return an appended dataframe.

Usage

read_excel_workbook(path, col_types = NULL, .id = NULL)

Arguments

path	Path to the xls/xlsx file.
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.
.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.

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.

See Also

read_excel(), which reads a Sheet of an Excel file into a data frame, and read_gsheets(), which imports data from multiple sheets in a Google Sheets.

Examples

path <- system.file("extdata", "Diamonds.xlsx", package = "bulkreadr", mustWork = TRUE)

read_excel_workbook(path = path, .id = "Year")


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

bulkreadr documentation built on May 29, 2024, 1:35 a.m.