...speed up our approach we wrote code as a software package on Github that enabled us to run the analysis instantly upon experiment completion. This initial early investment into automation...
...needs of the service. Have used appropriate tools to build, host and operate the service and also put code in the open. Have capacity and flexibility to update and improve...
...new technology. This includes adding more data related content to the Technology Code of Practice, the Service Manual and the Design System. Supporting the government data communities by bringing the...
...data science open, available, and accessible enables scrutiny from Parliament, the public and peers, and enables reuse of code. We work in challenging contexts and our analysis needs to be...
...outlines best practices and practical considerations, including: choosing the right software and format using clear, consistent naming conventions checking for personal and hidden information using application code and formulas appropriately...
...about many (but nowhere near all) of the APIs published by public sector organisations. This is great, but it does have some drawbacks. The Technology Code of Practice recommends coding...
...code. This will inspire future developments to the package, completing the development cycle. Aside from the accessibility legislation, the biggest feedback was the need for an R native solution. R...
...content, to multiple lines of code and incomprehensible combinations of characters. To extract insights, colleagues suddenly needed to manually filter out tens of thousands of unusable responses over the year....
...service. Their answers to the questions about data protection and security were also reassuring to the panel. Additionally, the adoption of open source code from the outset was excellent. Recommendations...
...team to continue to explore the potential to publish as much of the service’s code in the open as possible. Design It was noted that the date entry field pattern...
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