af_colours: Best practice in data visualisation accessibility

af_colours: Best practice in data visualisation accessibility

Cross-team collaboration in the Analysis Function led to a Python package that implements best practice in data vis accessibility.

By The Office for National Statistics

Date and time

Wed, 29 Nov 2023 04:00 - 04:30 PST

Location

Online

About this event

This event is for Public Sector workers only. Please sign up using your Public Sector email. If you do not, your ticket will be cancelled.

Join the Data Science Community for this session on [Day Theme] as part of the Data Science Community Showcase. This event will contribute towards your 7 hours of data learning as part of One Big Thing.

Find out how the Delivery and Impact team and the Analysis Standards and Pipelines (ASAP) team worked together to support best practice across the board. By collaborating to build the af_colours Python and R packages, the two teams implemented the RAP ways of working that they promote and made it easy for developers to implement best practice in data visualisation accessibility. The package itself supports analysts who create data visualisations, by integrating best practice advice for accessibility directly into their coding platform. The presenters will talk through the development process as well as demonstrating the tool and taking questions.

The presenters for this session are Sean Snee (Delivery and Impact team) and Giselle Rosetta (ASAP team).

This event is great for:

- Data scientists and data engineers interested in package development

- Analysts and data scientists who produce data visualisations in Python and/or R

This event will not be recorded.

Visit the Showcase page to find out more about the conference, the Community, and our Code of Conduct.

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Frequently asked questions

Online Event Page

The Teams link will be shared on the day of the meet-up.

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