The guidance hub contains resources and reference information to help you with all aspects of your analytical work.
You can use the filters to sort guidance resources by profession, type, or theme.
Introduction This guidance outlines several important points to remember when writing about data. It provides a concise summary of existing guidance to help you communicate your analysis in a clear…
Learn more on Writing about dataThis short piece of guidance sets out the most important things you need to know about the UK's accessibility legislation.
Learn more on Accessibility legislation: what you need to knowGuidance on how to create and publish accessible charts.
Learn more on Data visualisation: chartsGuidance on using colours in data visualisations.
Learn more on Data visualisation: coloursGuidance providing advice on releasing statistics in spreadsheets. It considers accessibility, machine readability and general usability.
Learn more on Releasing statistics in spreadsheetsGuidance on how to meet the legal accessibility regulations when publishing analytical publications such as bulletins, reports and articles.
Learn more on Making analytical publications accessibleThis checklist is designed to help you implement our data visualisation charts guidance and e-learning.
Learn more on Accessible charts: a checklist of the basicsThese resources are to be used alongside our 'releasing statistics in spreadsheets' guidance.
Learn more on Resources to use with our releasing statistics in spreadsheets guidanceThis guidance is intended to help analysts evaluate how they could benefit from open sourcing their code. It will explain the risks and offer guidance about how to open source code safely.
Learn more on Open sourcing analytical codeGuidance on what to consider when designing and publishing data dashboards.
Learn more on Data visualisation: dashboards