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nycOpenData 0.2.2

Major improvements

This release continues the transition to a catalog-driven workflow for accessing NYC Open Data datasets in R, emphasizing transparency, reproducibility, and streamlined API access.

• nyc_list_datasets() now serves as the primary entry point for discovering datasets available through the live NYC Open Data catalog.
• nyc_pull_dataset() provides a unified interface for downloading datasets using either human-readable catalog keys or Socrata dataset UIDs.
• Dataset keys are generated dynamically using janitor::make_clean_names() based on live catalog metadata.
• Expanded support for flexible dataset discovery and retrieval without requiring dedicated dataset wrapper functions.

New features

• Added support for flexible dataset selection using either:
  • human-readable catalog keys (e.g., "motor_vehicle_collisions_crashes")
  • or stable Socrata dataset UIDs (e.g., "h9gi-nx95")
• Added support for date filtering using date, from, and to arguments with user-specified date_field.
• Improved filtering support with vectorized filters translated into SQL-style IN clauses.
• Improved support for direct Socrata endpoint access through nyc_any_dataset().

Documentation

• Substantially expanded README documentation to clarify:
  • package architecture
  • Socrata API workflows
  • SoQL usage
  • dataset keys versus UIDs
  • catalog-driven dataset retrieval
  • type coercion behavior
• Improved function documentation for:
  • nyc_list_datasets()
  • nyc_pull_dataset()
  • nyc_any_dataset()
• Updated examples to demonstrate:
  • realistic catalog search workflows
  • filtering
  • date-based queries
  • direct endpoint access
• Revised vignettes to align with the new catalog-driven architecture and remove outdated wrapper-function references.
• Added additional development and testing documentation for vcr and webmockr.

Internal improvements

• Refactored internal request handling to support dynamic catalog lookup.
• Improved validation for dataset identifiers, filters, and date-filtering parameters.
• Improved handling of conservative heuristic-based type coercion.
• Reduced reliance on dedicated dataset wrapper functions in favor of a unified interface.

Maintenance

• Updated package citation information and version consistency across package documentation.
• Continued improvements to API reliability, documentation clarity, and internal utilities.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.