tidyverse/duckplyr
Mar 2025 – Feb 2026
2 Months active
Languages Used
C++R
Technical Skills
Code MaintenanceData AggregationDatabaseDependency UpdatesPackage ManagementR Programming
Joakim Linde
PROFILE
Joakim Linde
Joakim contributed to the tidyverse/duckplyr repository by implementing a DuckDB macro for n_distinct() with na.rm = TRUE support, enhancing deduplication and aggregation capabilities for downstream data analysis. He ensured robust functionality by adding comprehensive tests and updating documentation, while also performing infrastructure maintenance through R package dependency and patch file updates to minimize compatibility risks. In a later phase, Joakim addressed macOS test reliability by refining floating point formatting and aligning with the Air formatter, which improved code consistency and maintainability. His work demonstrated depth in R programming, SQL, code maintenance, and a focus on long-term project stability.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
287
Activity Months2
Work History
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for tidyverse/duckplyr: Focused on reliability and quality improvements. Delivered a macOS test reliability fix and numeric formatting improvements, aligning with the Air formatter and enhancing overall code quality and maintainability.
1 Commits
Feb 1, 2026February 2026 monthly summary for tidyverse/duckplyr: Focused on reliability and quality improvements. Delivered a macOS test reliability fix and numeric formatting improvements, aligning with the Air formatter and enhancing overall code quality and maintainability.
February 2026
March 2025
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 - Focused on stability and feature parity for tidyverse/duckplyr. Key deliverables included implementing a DuckDB macro n_distinct() with na.rm = TRUE support (with tests and docs) and performing infrastructure upkeep by updating R package dependencies and patch files to current versions. These efforts reduce drift, improve compatibility, and enhance reliability for downstream analyses using DuckDB-backed deduplication and aggregations. Commit references: a4f4788726a20f10a391faeba31aecf8f9a67e2d (#655) for the feature; 80f383f17343bea1bff2596e94d93cdb8139fe33 (#647) for the maintenance task.
March 2025
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 - Focused on stability and feature parity for tidyverse/duckplyr. Key deliverables included implementing a DuckDB macro n_distinct() with na.rm = TRUE support (with tests and docs) and performing infrastructure upkeep by updating R package dependencies and patch files to current versions. These efforts reduce drift, improve compatibility, and enhance reliability for downstream analyses using DuckDB-backed deduplication and aggregations. Commit references: a4f4788726a20f10a391faeba31aecf8f9a67e2d (#655) for the feature; 80f383f17343bea1bff2596e94d93cdb8139fe33 (#647) for the maintenance task.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++R
Technical Skills
Code MaintenanceData AggregationDatabaseDependency UpdatesPackage ManagementR ProgrammingR programmingSQLdata analysistesting
Repositories Contributed To
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