Changes in version 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.

                 Changes in version 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