The goal of facetsr is to create an R wrapper for facets.
I watched the presentation from RStudio 2020 Conf on Data, visualization, and designing AI - Fernanda Viegas & Martin Wattenberg. Facets library discussed there were quite inspiring but I couldn’t find an R wrapper for that so I have created my own. I believe it can be used for more than just AI data. You can take a look but, please, note the package is just a proof of concept.
If you find it useful, I’d appreciate your feedback.
You can install the released version of facetsr from github with:
remotes::install_github("openpharma/facetsr")This is a basic example which shows how to start using facets.
library(facetsr)
# facets dive
facets_dive(iris)
# facets overview
facets_overview(iris)
facets_overview(list(list(data = iris, name = "iris"), list(data = cars, name = "cars")))You can use facetsr in shiny apps.
Example:
# app.R
library(shiny)
library(facetsr)
server <- function(input, output, session) {
output$facets<- render_facets({
facets(iris)
})
}
ui <- fluidPage(
facets_output("facets")
)
shinyApp(ui = ui, server = server)Note: For Rmarkdown only facets_div is working.
Use standard R chunks to load librarry
```{r facets_dive}
facets_dive(datasets::airquality)
```
Just don’t hesitate of contact me or opening pull request.