This directory contains resources, reference information and research articles that can help you with all aspects of your analytical work.
You can use the filters to find information by profession, type of publication, or theme.
This 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 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)