Joining up the dots - is about turbo-charging API connectivity across government to enable effective data sharing in a seamless, secure, legal and trusted manner.
...the boundaries of their technical knowledge and will have most value to their department and government. Staff have the freedom to choose what they work on and are encouraged to...
...as Amazon Web Services (AWS) S3 buckets. They set up processes to clean and manipulate the data by writing version-controlled code (for example, using Python) that automatically provides us with...
...available to view on GitHub. If you'd like to know more about how we productionise related links and what we're doing next, please get in touch in the comments below...
...combining data for more than one year. I'd recommend that those responsible for data about teachers, children’s social workers, police and firefighters should take steps to include the Chinese group...
...Mixed, White, Other) or the more detailed categorisation (into 18 ethnic groups), as used in the Census? In making this decision we balanced two considerations. On the one hand, we...
...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...
Read about Natural Language Processing projects happening in data science teams across government
...for data storage. For those who work in government to analyse data sets, we can improve efficiencies and encourage more data analysis to take place, making us more aware of...
...the employment rate in 2017 for the Indian group was 74%, and for the Pakistani and Bangladeshi group it was 55%. Rule 2: Balance your needs with users’ needs Collect...
...content item. In this way, the structural network of GOV.UK is created, consisting of approximately 250,000 nodes and 350,000 links. When we first started using network science methods on the...
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