The guidance hub contains resources and reference information to help you with all aspects of your analytical work.
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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 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 guidance has been created to help you make decisions about the amount of research and design needed for survey questions and materials.
Learn more on The three levels of Respondent Centred Design (RCD)This 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 guidanceThese principles should be used alongside the 10 steps of the Respondent Centred Design Framework when developing a survey. This will help reduce respondent burden and improve data quality.
Learn more on Office for National Statistics (ONS) Survey Strategy Research and Development Principles (SSRDP)This 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 codeThis guidance covers the main considerations in question and questionnaire design and shares specific best practice on question design.
Learn more on Questionnaire design guidance