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.
Examples of well designed dashboards. This is part of a series of guidance about dashboards.
Learn more on Data visualisation: examples of dashboardsThis guidance covers how to choose the right software for your dashboard. It also lays out the advantages and disadvantages of the available software. This is part of a series of guidance about dashboards.
Learn more on Data visualisation: dashboard softwareThis guidance covers how to improve the accessibility of dashboards for users. This is part of a series of guidance about dashboards.
Learn more on Data visualisation: testing dashboards for design and accessibilityThis guidance covers how to begin building a dashboard and how to maintain it. This is part of a series of guidance about dashboards.
Learn more on Data visualisation: building and managing dashboardsGuidance 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 checklist is designed to help you implement our data visualisation charts guidance and e-learning.
Learn more on Accessible charts: a checklist of the basics