ezpickr: Convenient Package/Function for Choosing Any Rectangular Data File Using Interactive GUI Dialog Box, and View Tidy Data in Preferable Spreadsheet

The goal of ezpickr is to provide R beginners with a convenient way to pick up their data files and to easily import it as a tidy tibble form into an R environment using GUI file-picker dialogue box (through ezpickr::pick()), and to provide R users with convenient function to open their data objects with their preferable spreadsheet application window (e.g., Excel through ezpickr::view()).

You can alternatively use ezpickr::pick() function for choosing .csv, .csv2, .tsv, .txt, .xls, .xlsx, .json, .html, .htm, .php, .pdf, .doc, .docx, .rtf, .RData, .Rda, .RDS, .sav (SPSS), .por, .sas7bdat, .sas7bcat, and .dta files in an interactive GUI mode A file choose dialog box will be prompted.

Any additional arguments available for each file type and extension: readr::read_csv() for CSV (Comma-Separated Values) files; readr::read_csv2() for CSV2 (Semicolon-Separated Values) files; readr::read_tsv() for ‘TSV’ (Tab-Separated Values) files; readr::read_file() for ‘txt’ (plain text) files; readxl::read_excel() for ‘Excel’ files; haven::read_spss() for ‘SPSS’ files; haven::read_stata() for ‘Stata’ files; haven::read_sas() for ‘SAS’ files; textreadr::read_document() for ‘Microsoft Word’, ‘PDF’, ‘RTF’, ‘HTML’, ‘HTM’, and ‘PHP’ files; jsonlite::fromJSON() for ‘JSON’ files; base::readRDS() for ‘RDS’ files; base::load() for ‘RDA’ and ‘RDATA’ files.

Each corresponding function depending upon a file extension will be automatically matched and applied once you pick up your file using either the GUI-file-chooser dialog box or explicit path/to/filename.

if(!require(devtools)) {
install.packages("devtools")
}

devtools::install_github('jooyoungseo/ezpickr')

install.packages("ezpickr")

library(ezpickr)

# Choosing file and saving it into a variable
## Scenario 1: Picking up a file using interactive GUI dialog box:
data <- pick() ## Use either `pick(mode="ko1")` or `pick(mode="ko2")` for Korean R users.

## Scenario 2: Picking up a file using an explicit file name ("test.sav" in the example below; however, you can feed other files through this function such as *.SAS, *.DTA, *.csv, *.csv2, *.tsv, *.xlsx, *.txt, *.html, webpage URL containing table, *.json, *.Rda, *.Rdata, and more):
data <- pick("test.sav") ## Use either `pick("test.sav", mode="ko1")` or `pick("test.sav", mode="ko2")` for Korean R users.

# Now you can use the imported file as a tibble data frame.
str(data)

library(ezpickr)

data(airquality)
str(airquality)

# Use `view()` function to open your data object in your spreadsheet:
view(airquality) ## If your data contains any Korean characters, use either `view(data_frame, mode="ko1")` or `view(data_frame, mode="ko2")`.

# Then, when necessary, you can modify the opened data in the spreadsheet and save it as a new data.