Software engineering in analysis? See what happens next!
Posted by:
Alexander Newton - Good Practice Data Scientist, ONS, Posted on:
-
Categories:
Reproducible Analytical Pipelines, Spreadsheets, Statistics
We're borrowing software engineering tools to make analytical code more robust, and encouraging people to ditch spreadsheets for programming languages. Our aim is ease of reproducibility, quality assurance, auditability, adaptability and sustainability of our analysis.
