A Block-Based Framework for Data Manipulation and Visualization

A framework for building interactive dashboards and document-based reports. Underlying data manipulation and visualization is possible using a web-based point and click user interface.


blockr

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Functionality for blockr is provided by multiple independent R packages, some of which are bundled together for convenience reasons.

Installation

You can install the development version of blockr from GitHub with:

# install.packages("pak")
pak::pak("BristolMyersSquibb/blockr")

Example

library(blockr)

run_app(
  blocks = c(
    a = new_dataset_block("iris")
  )
)

Reference manual

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install.packages("blockr")

0.1.0 by Nicolas Bennett, 9 months ago


https://bristolmyerssquibb.github.io/blockr/


Browse source code at https://github.com/cran/blockr


Authors: Nicolas Bennett [aut, cre] , David Granjon [aut] , Christoph Sax [aut] , John Coene [aut] , Karma Tarap [ctb] , Bristol Myers Squibb [cph, fnd]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports blockr.core, blockr.dock, blockr.dag, blockr.dplyr, blockr.ggplot, blockr.io, utils, cli, rlang

Suggests testthat, quarto, knitr, shinytest2, withr


See at CRAN