A map of Great Britain showing the number of scheduled services as a proportion of the number of timetabled services at each station at each station on 13 August 2022. They are represented by coloured circles overlaid on the map.

Visualising rail schedules using open data

Rail services can be affected by temporary factors such as unseasonably hot weather, industrial action and engineering works. We produced maps from open data showing service levels at every station in Great Britain over a 21-day period.

UK data science on a global stage

At the World Expo in Dubai, we supported other National Statistics Organisations to develop their data science capability by delivering a series of workshops, training sessions and discussions.

Evaluating synthetic data using SynthGauge

Data synthesis is an active area of research for many organisations, including the Office for National Statistics (ONS). SynthGauge is a Python library that provides decision-makers with a range of metrics and visualisations for evaluating synthetic data.

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Use of hybrid data to understand the community-level influences on coronavirus (COVID-19) incidence

Understanding and monitoring the major influences on COVID-19 infection numbers in communities is essential to inform policy making and evaluate the impact of non-pharmaceutical interventions. We have developed a community-level analysis by assembling a large set of static and dynamic data for England.

Read more on Use of hybrid data to understand the community-level influences on coronavirus (COVID-19) incidence

Worker shortages: A window on labour demand during the coronavirus (COVID-19) pandemic

The UK’s exit from the European Union created uncertainty about workers across a range of sectors, exacerbated by concerns over workers leaving the country and the impact on labour supply. The coronavirus (COVID-19) pandemic created additional and sudden changes, with sectors being affected heterogeneously and demand switching from services to goods.

Read more on Worker shortages: A window on labour demand during the coronavirus (COVID-19) pandemic
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