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.
Guidance 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 report summarises the main findings from the second phase of our work to review the current ethnicity harmonised standard. Read the first report about our initial findings.
Learn more on Review of ethnicity harmonised standard: findings from phase 2 of our researchThe standards for ethnicity data have been developed by the Cabinet Office Equality Hub. They describe best practice when collecting, analysing and reporting ethnicity data.
Learn more on Standards for Ethnicity DataThis user guide outlines the various measures of trade, including their strengths and limitations.
Learn more on A user guide to regional tradeThis toolkit can be used to support the development of survey products for social and business surveys.
Learn more on Survey development toolkit: an overview of the research objectives and methods for each Agile phase of survey developmentThis report presents the research that has been done during the development of the first harmonised standard for socio-economic background.
Learn more on Development of the socio-economic background harmonised standard: research findingsThis guidance sets out how to collect and report statistics about socio-economic background to ensure statistics about this topic are as comparable as possible across government.
Learn more on Socio-economic background harmonised standardExamples 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 Python