Reproducible Analytical Pipelines (RAPs) are automated statistical and analytical processes. They ensure that analysis is reproducible, efficient, and high quality. The Analysis Standards and Pipelines team have worked with teams across government to help them implement RAP. From our experiences …
Learn how to create good practice accessible spreadsheets as part of Reproducible Analytical Pipelines using gptables. Learn about how we developed in the open.
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.
The Homelessness and Troubled Families Analysis Team at MHCLG have recently published the latest 2019 Rough Sleeping Snapshot statistics using a Reproducible Analytical Pipeline (RAP). This felt like a real achievement as we are one of the first teams in …