Reproducible Analytical Pipelines
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
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Pensions Tracing Service - Service Assessment
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...place to plan with the GOV.UK content teams; having a soft landing page for the service is useful for the prototype but could be repetitive for users. It may be...
Ambassador Twitter Networks
...in the contrast - if any - between their digital and physical networks. Network diagrams and the Twitter API There are many free tools online that allow you to get...
Emergency Travel Documents Service - Service Assessment
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...on their journey towards a beta assessment. The panel look forward to hearing about the private beta when the team return for the beta assessment. Summary of Original Report 21st...
Use the search API to get useful information about GOV.UK content
...read using an online tool or browser extension to display the JSON data in a clear tree structure. For example, I use the JSON Formatter extension for Google Chrome. JSON...
Making ethnicity data more coherent and comparable
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Richard Laux - Deputy Director (Data and Analysis), Race Disparity Unit, Posted on:
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Data insights, Statistics
...quite reasonable to comment on the combined Asian group. In other datasets it makes little sense because the data for the different Asian ethnic groups is quite different. For example,...
Dart Charge - Service Assessment
...service has front loaded the complexity of the charging scheme into the user journey for creating an account or paying for a journey. There is no clear route for a...
E-Claims - Service Assessment
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...for the required model of support for this service - for example face-to-face and third party support. Summary The panel were very pleased to see the team again and to...
Digital Forms - Beta Assessment
...first form to use the service will be for claiming tax relief for expense (P87 form). Department / Agency: HMRC Date of Assessment: 2 October 2014 Assessment stage: Beta Result...
Using machine learning to classify user comments on GOV.UK
...free text response, for example: 'Why did you visit GOV.UK today?', 'Did you find what you were looking for?', and 'Where did you go for help?'. We receive around 3,000...
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