blockr.dplyr provides interactive blocks for data transformation. Filter, sort, summarize, join, and manipulate data through visual interfaces.
blockr.dplyr is part of the blockr ecosystem and provides data transformation blocks.
install.packages("blockr.dplyr")Or install the development version from GitHub:
# install.packages("pak")
pak::pak("BristolMyersSquibb/blockr.dplyr")Create and launch an empty dashboard:
library(blockr.dplyr)
serve(new_board())This opens a visual interface in your web browser. Add blocks using the "+" button, connect them by dragging, and configure each block through its settings. Data transformations update in real-time as you build your workflow.
blockr.dplyr provides 16 data transformation blocks:
- select: choose which columns to keep
- rename: change column names
- arrange: sort rows by column values
- slice: select specific rows by position or value
- filter: filter by selecting values from dropdowns (simple, no-code)
- filter expression: keep rows that meet conditions (advanced, R expressions)
- mutate expression: create or modify columns using R expressions
- summarize: calculate statistics using dropdown selections (simple, no-code)
- summarize expression: calculate statistics using R expressions (advanced)
- join: combine two datasets based on common columns
- bind_rows: stack datasets vertically
- bind_cols: combine datasets side-by-side
- pivot_longer: reshape data from wide to long format
- pivot_wider: reshape data from long to wide format
- unite: combine multiple columns into one
- separate: split one column into multiple columns
See vignette("blockr-dplyr-showcase") for a complete showcase with screenshots and detailed explanations of each block.
The blockr.dplyr website includes full documentation and the showcase vignette. For information on the workflow engine, see blockr.core.