NEWS

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blockr.dplyr 0.1.0.9001

• All block UIs rewritten as JS-driven components for instant feedback.
• Filter, summarize, and mutate blocks each unify no-code and expression modes in a single UI.
• Filter block supports value, numeric, and expression conditions, plus a preserveOrder option.
• Summarize block extensible via blockr.dplyr.summary_functions option.

blockr.dplyr 0.1.0 (2025-12-18)

Initial CRAN release.

Features

Core Data Transformation Blocks

• new_select_block(): Select columns with distinct option and drag-to-reorder
• new_filter_block(): Filter rows by selecting values from dropdowns
• new_filter_expr_block(): Filter rows using R expressions
• new_arrange_block(): Sort rows by multiple columns with ascending/descending options
• new_slice_block(): Select rows by position or value criteria
• new_mutate_expr_block(): Create or modify columns using expressions
• new_rename_block(): Rename columns interactively
• new_summarize_block(): Calculate summary statistics with optional grouping (no-code interface)
• new_summarize_expr_block(): Calculate summary statistics using R expressions

Data Combination Blocks

• new_join_block(): Join two datasets (left, right, inner, full, semi, anti)
• new_bind_rows_block(): Stack datasets vertically
• new_bind_cols_block(): Combine datasets horizontally

Data Reshaping Blocks

• new_pivot_longer_block(): Transform wide data to long format
• new_pivot_wider_block(): Transform long data to wide format
• new_separate_block(): Split a column into multiple columns
• new_unite_block(): Combine multiple columns into one

Documentation

• Two comprehensive vignettes:
  • "blockr.dplyr Showcase: Data Wrangling Blocks"
  • "Working with Expressions: Helper Functions for Advanced Data Manipulation"
• Full documentation for all exported functions
• Package website with examples and screenshots