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.
The MDataGov is a unique and flexible full-time or part-time master’s programme that combines modules in statistics and data science.
In this blog our Programme Officer managing the Graduate Programme, Laura Clarke, gives an update on our sought after Graduate Programme.
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.
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.
To support the national fight against coronavirus (COVID-19) in March 2020, BT made aggregate, anonymised mobility data available to the UK Government. We quickly turned this into daily updates, with only one day’s delay between activity and the reporting of it.
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) incidenceThe 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) pandemicOn 27 March 2017, with an audience of UK and international data science leaders from across the public, private and academic sectors, a team of 8, some brilliant presentations, and a lot of excitement, the Data Science Campus was launched. 5 years later, Louisa Nolan shares what have we learned along the way.
Read more on The Data Science Campus – five years of data science for public good