blockr

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blockrA visual, no-code framework for R

Drag analysis steps into interactive dashboards

Try it in the browser
Get started
  1. Add dataPick a dataset
  2. FilterAppend a block from the one above
  3. PlotChoose the columns
  4. ArrangeDrag panels into place
  5. Change itEdit the filter, the chart follows

For Analysts

Explore and transform data visually, no coding needed. Point, click, and see results instantly.

Build your first app

For R Developers

Create custom blocks with a coding agent. Describe what you want, get a working block in minutes.

Create a block

For Teams

Share reproducible workflows across skill levels. Export pipelines as idiomatic R code anyone can run.

Browse examples

Every click writes R ​

Each block adds a step of R code to the board. The Report tab gives you the whole script: run it without blockr, review it, or hand it to someone who codes.

r
penguins <- datasets::penguins

filtered <- dplyr::filter(
  penguins,
  species %in% c("Adelie", "Gentoo") # @!chin
  species %in% c("Adelie", "Gentoo", "Chinstrap") # @chin
)

ggplot2::ggplot(
  filtered,
  ggplot2::aes(
    x = bill_len,
    y = bill_dep,
    colour = species # @!island
    colour = island # @island
  )
) +
  ggplot2::geom_point()

Custom code in a board · Create a block

Try an example ​

Open a demo board on blockr.cloud, no install needed.

Clinical Explorer

Clinical Explorer

AI-enabled exploration of an ADaM trial: demographics, AE, lab, vitals, patient profile.

Open in Playground →
Treaty Pricer

Treaty Pricer

Reinsurance pricing: an editable treaty tower drives the loss simulation and premium.

Open in Playground →
Does mosquito control work?

Does mosquito control work?

Refits a published mosquito-control study. The Quarto report comes out of the same board.

Open in Playground →

All examples

Install ​

r
# install.packages("pak")
pak::pak("BristolMyersSquibb/blockr@dev")
blockr::run_app()

R 4.1 or later. Details, smaller installs and the AI features: Install.