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If you have a question about this talk, please contact Dr Vivien Gruar.

“The National Cancer Registration and Analysis Service (NCRAS) produces a wide range of statistical analysis and datasets used by many different audiences, including the public. Prominent productions include the Routes to Diagnosis dataset which examines the events in a patient’s pathway that lead to diagnosis, and the Get Data Out project which makes granular data more widely available while preserving individual patients’ privacy. Such datasets drive research and transparency, as well as contributing to the improvement of patient outcomes.

This project aims to create a wide range of accessible visualisations from these large datasets. There will be three main strands as part of this:
  • To translate the main stories for a dataset into an accurate and accessible visualisation.
  • To enable elements of interactivity in the visualisations, with the ability to adapt the display to audience needs (e.g. to toggle confidence intervals on a display).
  • To produce visualisations that are scalable and adaptable – that can be easily updated as the datasets expand to include extra years or new cancer sites for example.

These visualisations will be used on websites, published outputs, for presentations, and at conferences to promote cancer analysis and help grant increased insight into otherwise complex statistics.

For more information about the internship programme, visit:

This talk is part of the Cambridge Mathematics Placements Seminars series.

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