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https://github.com/landeranalytics/faketables
https://github.com/landeranalytics/faketables
Last synced: 9 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/landeranalytics/faketables
- Owner: landeranalytics
- License: other
- Created: 2024-06-06T18:01:58.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-07-18T21:38:41.000Z (5 months ago)
- Last Synced: 2024-08-13T07:11:04.823Z (4 months ago)
- Language: R
- Homepage: https://landeranalytics.github.io/faketables/
- Size: 8.48 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - landeranalytics/faketables - (R)
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# faketables 
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](https://github.com/landeranalytics/faketables/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/landeranalytics/faketables?branch=main)
## Overview
`{faketables}` is a table construction tool that creates and renders tables using [`Shiny`](https://shiny.posit.co/) inputs, while managing data inserts, updates, and deletions. Users define the column definitions using the provided constructors and pass their data, and `faketables` handles the rest. Because `faketables` is a Shiny module, it can be used in any Shiny application and excels in applications where users need to interact with the data in great detail.
## Benefits
`faketables` provides several distinct benefits over packages with similar features such as [`DT`](https://rstudio.github.io/DT/) and [`reactable`](https://glin.github.io/reactable/):
- Users can implement any Shiny input method they wish into a cell
- A `faketables` object contains the entirety of the data that is shown to the user, along with any columns the developer has chosen to hide from the user
- Information on which rows are inserted, updated, or deleted is retained. Again, this data is stored in its entirety.
- All setup can be performed outside of a Shiny server context and developers only need two functions in the Shiny app, one in the UI and one in the server, for update and delete functionality, with a third needed for insertions.
## Installation
You can install the development version of faketables from [GitHub](https://github.com/) with:
``` r
# install.packages("pak")
pak::pak("landeranalytics/faketables")
```
## Usage
Usage is detailed in the [Get Started Vignette](articles/faketables.html) and an example app about the best pizza in NYC can be found [here](https://landeranalytics.shinyapps.io/faketables/) with the code for that app [here](articles/favorite_pizza.html).
