---

output: github_document

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

facetsr

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.

Facets information

• Facetes homepage
• RStudio 2020 Conf Keynote Presentation

Installation

You can install the released version of facetsr from github with:

remotes::install_github("openpharma/facetsr")

Example

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")))

Shiny

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)

Rmarkdown

Note: For Rmarkdown only facets_div is working.

Use standard R chunks to load librarry

"{r facets_dive}
facets_dive(datasets::airquality)
" -> my_code_string

cat("```", my_code_string, "```", sep = "")

Feedback and contribution

Just don’t hesitate of contact me or opening pull request.