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 dataGuidance on how to meet the legal accessibility regulations when publishing analytical publications such as bulletins, reports and articles.
Learn more on Making analytical publications accessibleExamples of how to use our recommended colour palettes in charts using R and Python code and Microsoft theme files.
Learn more on Using our colour palettes in Microsoft, R and PythonThis 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 codeThese tips suggest some things to consider if your statistical outputs have been affected by the pandemic.
Learn more on Tips for communicating the impact of COVID-19This item is archived. Information presented here may be out of date. Updated guidance on writing about data was published in April 2025.
Learn more on Writing about statisticsThis guidance is to help producers of statistical outputs across government who need to decide whether to label data as official statistics.
Learn more on Labelling official statisticsThis guidance provides practical advice on how to communicate quality, uncertainty and change for different types of statistics and for a range of audiences.
Learn more on Communicating quality, uncertainty and change