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Nominations for Analysis in Government Awards 2021

Information about how to nominate colleagues for an Analysis in Government Award.

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Government Statistical Service (GSS) subnational data strategy

The GSS subnational data strategy sets out an ambitious vision that enhances the production and dissemination of subnational data and statistics.

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Using symbols and shorthand

Guidance providing a consistent shorthand to be used in statistical and analytical publications produced by the public sector.

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Join the front line of COVID-19 analysis

The Office for National Statistics (ONS) is offering placements to give you the experience of working with world leading analysts, supporting the response to the coronavirus pandemic and examining broader health inequalities.

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Reproducible Analytical Pipelines (RAP) case studies

Reproducible Analytical Pipelines (RAP) use software engineering best practice to deliver efficient, high quality and transparent analysis. Developing RAPs can be difficult for teams. So we have shared some case studies on this page to demonstrate how teams have overcome challenges to produce RAPs. If you think you have a story that would make a […]

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Invitation to present at DataConnect23

Express your interest in presenting at DataConnect 2023.

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Bringing the voices of all groups into analysis

A Government Social Research working group led by Dr William Nicholson write a blog on a brand-new guide to inclusive social research practices to help you develop more inclusive analysis.

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Making your mind up: how the order of performances impact Eurovision outcomes

Raych George analyses the data to discover how the "order effects" phenomenon may impact the result of the Eurovision Song Contest.

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Head of Profession: Rachel Skentelbery

Rachel Skentelbery is the Government Statistical Service (GSS) Deputy Head of Profession for Statistics at the Office for National Statistics (ONS). My biggest work-related accomplishment I was fortunate to be able to contribute to lots of the work that ONS did at the start of the pandemic. While it was a difficult time for all […]

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Chicago machine learning . . . and all that jazz!

Graham Brennan blogs about developing his skills in Machine Learning (ML).

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