Data visualisation: colours
Guidance on using colours in data visualisations.
Learn more on Data visualisation: coloursIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
Guidance on using colours in data visualisations.
Learn more on Data visualisation: coloursTop tips on how to maintain quality when designing surveys at pace.
Learn more on Tips for maintaining quality when designing surveys at paceThis guidance provides practical advice on how to communicate quality, uncertainty and change for different types of statistics and for a range of audiences.
Learn more on Communicating quality, uncertainty and changeThis is the National Statistician's Quality Review on privacy and data confidentiality methods.
Learn more on Privacy and data confidentiality methods: a Data and Analysis Method Review (DAMR)Guidance on how to create and publish accessible charts.
Learn more on Data visualisation: chartsThis policy outlines the principles to follow when recruiting a new statistical Head of Profession.
Learn more on Recruiting a statistical Head of Profession (HoP)This guidance sets out how to collect and report statistics about religion to ensure statistics about this topic are as comparable as possible across government.
Learn more on Religion harmonised standardThis guidance contains information on the badging process for new entrants into the GSG. It covers GSG level transfers within the same department and between different departments. Plus, how long you can work outside the GSG before re-entry is required and how to keep your GSG membership while working outside of the profession.
Learn more on Badging, level transfer and returning to the Government Statistician Group (GSG)The ONS content style guide has been produced with help from the Government Digital Service (GDS) and is intended to be used by anyone writing about statistics.
Learn more on The ONS content style guide: a guide to communicating statisticsThis publication will help analysts and users of analysis understand why reproducibility is important and how to achieve it.
Learn more on Reproducible Analytical Pipelines (RAP) strategy