Public-Health-Scotland/list-localities-profiles
Dec 2024 – Oct 2025
4 Months active
Languages Used
R
Technical Skills
Data ProcessingFile ManagementScriptingData AnalysisR MarkdownR Programming
CliveWG
PROFILE
Clivewg
Clive Greatorex contributed to the Public-Health-Scotland/list-localities-profiles repository by building and refining data processing and reporting pipelines over four months. He focused on stabilizing CSV-to-RDS conversions, aligning population data with the latest estimates, and improving the accuracy of time-trend analyses. Using R, R Markdown, and data.table, Clive enhanced reporting clarity, standardized variable naming, and ensured consistency between summary tables and report text. His work included targeted bug fixes, code refactoring, and integration of robust data handling libraries, resulting in more reliable outputs and maintainable scripts. The depth of his contributions improved both data fidelity and pipeline resilience.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
5
Lines of code
82
Activity Months4
Your Network
12 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for Public-Health-Scotland/list-localities-profiles focusing on delivering data processing capability and robust plotting reliability.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for Public-Health-Scotland/list-localities-profiles focusing on delivering data processing capability and robust plotting reliability.
October 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025: Delivered key improvements to the Public-Health-Scotland/list-localities-profiles repository, focusing on Unscheduled Care reporting alignment and locality-profile consistency. Implemented data consistency improvements, standardized variable naming, and tightened references in R Markdown to ensure accurate reporting of latest PPA and psychiatric hospitalization rates. Fixed and aligned reporting references across summary tables and the main locality profile report, reducing maintenance overhead and increasing reliability of outputs used by stakeholders.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025: Delivered key improvements to the Public-Health-Scotland/list-localities-profiles repository, focusing on Unscheduled Care reporting alignment and locality-profile consistency. Implemented data consistency improvements, standardized variable naming, and tightened references in R Markdown to ensure accurate reporting of latest PPA and psychiatric hospitalization rates. Fixed and aligned reporting references across summary tables and the main locality profile report, reducing maintenance overhead and increasing reliability of outputs used by stakeholders.
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Public-Health-Scotland/list-localities-profiles. Focused on aligning data processing with the latest population data, improving reporting clarity, and fixing time-trend data accuracy. Delivered changes that enhance data fidelity, reporting quality, and testing reliability across the locality profiles pipeline.
5 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Public-Health-Scotland/list-localities-profiles. Focused on aligning data processing with the latest population data, improving reporting clarity, and fixing time-trend data accuracy. Delivered changes that enhance data fidelity, reporting quality, and testing reliability across the locality profiles pipeline.
January 2025
December 2024
1 Commits
Dec 1, 2024Monthly work summary for 2024-12 focused on stabilizing the data processing pipeline in Public-Health-Scotland/list-localities-profiles. Delivered a targeted bug fix to the R script used for Services data CSV to RDS conversion, improving reliability of data access and conversion; ensured correct lp_path handling within Services/DATA, enabling consistent rendering and downstream use.
December 2024
1 Commits
Dec 1, 2024Monthly work summary for 2024-12 focused on stabilizing the data processing pipeline in Public-Health-Scotland/list-localities-profiles. Delivered a targeted bug fix to the R script used for Services data CSV to RDS conversion, improving reliability of data access and conversion; ensured correct lp_path handling within Services/DATA, enabling consistent rendering and downstream use.
Activity
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Quality Metrics
Correctness84.6%
Maintainability90.8%
Architecture81.6%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Code RefactoringData AnalysisData CleaningData ProcessingFile ManagementR MarkdownR ProgrammingR ScriptingReportingScripting
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