googlesheets (version 0.2.0)

gs_read_csv: Read data via the exportcsv link

Description

This function reads all data from a worksheet and returns it as a tbl_df or data.frame. Don't be spooked by the "csv" thing -- the data is NOT actually written to file during this process. Data is read from the "maximal data rectangle", i.e. the rectangle spanned by the maximal row and column extent of the data. By default, empty cells within this rectangle will be assigned NA. This is the fastest method of data consumption, so use it as long as you can tolerate the lack of control re: which cells are being read.

Usage

gs_read_csv(ss, ws = 1, ..., verbose = TRUE)

Arguments

ss

a registered Google spreadsheet, i.e. a googlesheet object

ws

positive integer or character string specifying index or title, respectively, of the worksheet

...

Optional arguments to control data download, parsing, and reshaping; for most purposes, the defaults should be fine. Anything that is not listed here will be silently ignored. [object Object],[object Object],[object Object],[object Ob

verbose

logical; do you want informative messages?

Value

• a data.frame or, if dplyr is loaded, a tbl_df

See Also

Other data.consumption.functions: gs_read_cellfeed, gs_read_listfeed, gs_read, gs_reshape_cellfeed, gs_simplify_cellfeed

Examples

gap_ss <- gs_gap() # register the Gapminder example sheet
oceania_csv <- gs_read_csv(gap_ss, ws = "Oceania")
str(oceania_csv)
oceania_csv

## crazy demo of passing args through to readr::read_csv()
oceania_crazy <- gs_read_csv(gap_ss, ws = "Oceania",
  col_names = paste0("Z", 1:6), na = "1962", col_types = "cccccc", skip = 1)
oceania_crazy