Description Usage Arguments Details Value See Also Examples
Import Tidy Excel Sheets into R
1 2  | tidy_excel(file, flatten = FALSE, col_names, col_types, na, trim_ws,
  skip, ...)
 | 
file | 
 .xls or .xlsx file  | 
flatten | 
 should output be displayed in tidy format for   | 
col_names | 
 
  | 
col_types | 
 Default as   | 
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.  | 
... | 
 other arguments to pass down to   | 
This function wraps the steps for importing excel files having more
than 1 sheet through mutate() a sheetName column after
intermediate iterations of sheet names via map(). For excel files
that have a single sheet, they are dealt by readxl() with default
arguments. sheetName column will therefore be omitted.
A tibble
read_excel
1 2  | library(readxl)
tidy_excel(readxl_example("type-me.xlsx"))
 | 
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