The guidance hub contains resources and reference information to help you with all aspects of your analytical work.
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This guidance covers the main considerations in question and questionnaire design and shares specific best practice on question design.
Learn more on Questionnaire design guidanceThe "Quality Questions and Red Flags" guidance is designed to give support and guidance to anyone working on statistical outputs and analysis across government.
Learn more on Quality questions and red flagsThis guidance provides advice on how government departments should treat management information to get maximum value from it while protecting public trust in official statistics.
Learn more on National Statistician’s guidance: management information and official statisticsGuidance on what to consider when designing and publishing data dashboards.
Learn more on Data visualisation: dashboardsKnowledge to Action (K2A) is a process that has been developed by the Office for Health Improvement and Disparities (OHID). It encourages people to use a wide range of data sources and information to prompt action or change.
Learn more on Turning knowledge into actionThis guidance item will be used as a place to show examples of using our data visualisation guidance with real-life charts and tables.
Learn more on Data visualisation: examplesGuidance on how to present and publish tables of data.
Learn more on Data visualisation: tablesGuidance providing a consistent shorthand to be used in statistical and analytical publications produced by the public sector.
Learn more on Using symbols and shorthandThis guidance sets out how producers of official statistics should raise concerns about compliance with the Code of Practice for Statistics.
Learn more on Reporting concerns under the Code of Practice for StatisticsThis guidance has been written to support analysts in government who use coding in their work. This includes those who produce statistics, carry out modelling or apply data science.
Learn more on Quality assurance of code for analysis and research