With Matt Dray, Analyst, Analysis & Insight – Cabinet Office
The Reproducible Analytical Pipelines (RAP) movement has revolutionised data processing in the UK’s public sector. Civil service analysts are using wholly code-driven approaches to generate official statistics with greater speed, efficiency and reproducibility. But there’s a bottleneck: there’s no unified R solution to autogenerate spreadsheet outputs that meet the Government Statistical Service’s best practice guidelines.
This is a problem: creating outputs with time-consuming point-and-click methods defeats the benefits of RAP, while a lack of consistency and accessibility of outputs can drive down trust and usability. To fill this gap I’ve created the {a11ytables} (‘accessibility tables’) R package, which makes use of {openxlsx} for programmatic spreadsheet creation. The interface to {a11ytables} is simple so that analysts can concentrate on generating their statistical tables and leave it to the package to generate compliant spreadsheets that can be used by all citizens.
The package is openly available on GitHub for anyone to use or contribute to, and has already been used to help create reproducible and accessible statistical publications for GOV.UK with minimal effort.
In this talk I’ll discuss the package’s inception, development, design, features and future.
Webinar Recording
A recording of the webinar is avaialble from the NHS-R You Tube channel via this Link
Resources