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.
Alexander Newton - Good Practice Data Scientist, ONS
Related content and links
About this blog
This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.
- What skills do you need for working in data ethics? 7 September 2021
- Our new guidance on improving spreadsheets in government 18 August 2021
- govcookiecutter: A template for data science projects 20 July 2021
- Join us at DataConnect21 and share your data stories 15 July 2021
- Asking people about their ethnicity 15 June 2021