Extends 'blockr.core' with interactive blocks for reading and writing data files. Supports CSV, Excel, Parquet, RDS, and other formats through a graphical interface without writing code directly. Includes file browser integration and configurable import/export options.
blockr.io provides file I/O blocks for reading and writing data in various formats. Load CSV, Excel, Parquet, and more through visual interfaces - no code required.
install.packages("blockr.io")
Or install the development version from GitHub:
# install.packages("pak")
pak::pak("BristolMyersSquibb/blockr.io")
library(blockr.io)
serve(new_board())
This opens a visual interface in your browser. Add blocks using the "+" button and connect them to build data pipelines.
Load data from multiple sources with automatic format detection:
Supports CSV, Excel, Parquet, Feather, JSON, SPSS, Stata, SAS, and more.
Export data to various formats with two output modes:
Supports CSV, Excel, Parquet, and Feather. Multiple inputs become Excel sheets or ZIP archives.
See vignette("blockr-io-showcase") for screenshots and detailed examples.
The blockr.io website includes full documentation. For the workflow engine, see blockr.core.