Guidance hub

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.

Showing 146 items

Development of the socio-economic background harmonised standard: research findings

Harmonisation standards and guidance

This report presents the research that has been done during the development of the first harmonised standard for socio-economic background.

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Socio-economic background harmonised standard

Harmonisation standards and guidance

This 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.

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Using our colour palettes in Microsoft, R and Python

Guidance

Examples of how to use our recommended colour palettes in charts using R and Python code and Microsoft theme files.

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The three levels of Respondent Centred Design (RCD)

Guidance

This guidance has been created to help you make decisions about the amount of research and design needed for survey questions and materials.

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Accessible charts: a checklist of the basics

Checklist, Guidance

This checklist is designed to help you implement our data visualisation charts guidance and e-learning.

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Resources to use with our releasing statistics in spreadsheets guidance

Guidance

These resources are to be used alongside our 'releasing statistics in spreadsheets' guidance.

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Office for National Statistics (ONS) Survey Strategy Research and Development Principles (SSRDP)

Guidance

These 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.

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Review of disability data harmonised standards

Harmonisation standards and guidance

A review of the disability harmonised standard that aims to ensure that disability standards meet user needs and explore any potential improvements.

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Open sourcing analytical code

Guidance

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.

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Questionnaire design guidance

Guidance

This guidance covers the main considerations in question and questionnaire design and shares specific best practice on question design.

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