Reproducible Analytical Pipelines

...additional set of tools we can start to use once we begin writing our own tests is code coverage tools, for instance codecov.io, or coveralls.io. These tools are able to...
...additional set of tools we can start to use once we begin writing our own tests is code coverage tools, for instance codecov.io, or coveralls.io. These tools are able to...
...their passion in getting the whole team involved in research and analysis. The assessment panel were impressed with how the team took findings from user research and used these to...
...how to do this here. These instructions will also show you how to set up your Google Analytics credentials. Set up your remaining Python libraries To install the libraries: open...
...extensively. Lessons were learned by observation and incorporated into the process. The team intend to use Nagios and possibly Google Analytics. There is the aspiration to use analytics to verify...
...to show that it meets user needs. Design and content While the web-based user interface for custody officers is likely to only be needed short term, the interfaces for the...
...team to deal with an unexpected outage must be in place for a product to pass into Beta. Recommendations 1. The service team needs to contain people with the capabilities...
...team had insight into user needs here - they acknowledged that while jointly filing was beneficial to both users and government, some users preferred to file separately, and had good...
...user research is looking at ways to improve guidance content around the forms to aid users who run into difficulties. Point 14 - Encourage all users to use the digital...
...findings can be made reproducible by writing them in code because, unlike a point-and-click tool, the code can be re-run to confirm a result or to apply the same method...
...front-end code as open source code, and should continue to identify other parts of the service which may be of use in other services, and look into collaborating on code...