Shiny modules to import and manipulate data into an application or addin.
This package provides custom shiny modules to import data from various
sources, select, rename and convert variables in a dataset and validate
content with validate
package.
The modules can be used in any standard shiny application or RStudio
add-in.
Currently you can use {datamods} in the following language: english (default), french, macedonian, brazilian portuguese, albanian, chinese, spanish, german, turkish, korean, polish, japanese.
If you want another language to be supported, you can submit a Pull
Request to add a CSV file like the one used for french (file is located
in inst/i18n
folder in the package, you can see it here on
GitHub).
See the online vignette for more on this topic.
Install from CRAN with:
install.packages("datamods")
You can install the development version of datamods from GitHub with:
remotes::install_github("dreamRs/datamods")
Import data from:
- environment: such as Global environment or from a package
- file: text files, Excel, SAS or SPSS format… anything that package rio can handle
- copy/paste: paste data from an other source like Excel or text file
- Google Sheet: use the URL to import the Googlesheet
- URL: use a URL to import from a flat table
Each module is available in the form import_file_ui()
/
import_file_server()
and can be use independently.
Or all modules can be launched together in a modal window via
import_modal()
/ import_server()
:
This module also allow to view imported data and to update variables.
Module update_variables_ui()
/ update_variables_server()
allow to:
- select variables of interest in a dataset
- rename variables to be used in application after that
- convert variables to change their class, from character to numeric for example
Define some validation rules with package validate and check whether data lives up to those expectations.
Interactively filter a data.frame
, this module also generates the code
to reproduce the filters.
Interactively sample a data.frame
:
Interactively edit a data.frame
: