The guidance hub contains resources and reference information to help you with all aspects of your analytical work.
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Examples 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 Charts: a checklistThese 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)A review of mental health harmonisation.
Learn more on Review of mental health harmonisationA review of the disability harmonised standard that aims to ensure that disability standards meet user needs and explore any potential improvements.
Learn more on Review of disability data harmonised standardsThis 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 guidanceThis report presents the first phase of work by the Government Statistical Service (GSS) to review the current ethnicity harmonised standard.
Learn more on Review of ethnicity harmonised standard: initial findings