What are the key elements of a data visualisation dashboard?

The key elements of a data visualisation dashboard include:

1. Data: The primary element of a dashboard is the data itself. It should be accurate, relevant, and up-to-date.

2. Visuals: Visual representations such as charts, graphs, maps, and tables are used to present the data in a clear and understandable manner. These visuals should be visually appealing and easy to interpret.

3. Interactivity: Dashboards often allow users to interact with the data by filtering, sorting, or drilling down to specific details. Interactivity enhances user engagement and enables deeper exploration of the data.

4. Key Performance Indicators (KPIs): KPIs are specific metrics that measure the performance of a business or organization. Dashboards typically include KPIs to provide a quick overview of the most important data points.

5. Contextual Information: Dashboards should provide additional context to help users understand the data. This can include annotations, labels, legends, and descriptions that provide relevant information and explanations.

6. Customization: Users should have the ability to customize the dashboard according to their specific needs and preferences. This may include selecting different visualizations, rearranging elements, or adding personalized annotations.

7. Responsiveness: Dashboards should be responsive and adaptable to different devices and screen sizes. This ensures that users can access and view the data effectively on various platforms, including desktops, tablets, and mobile devices.

8. Data Sources: Dashboards often integrate data from multiple sources. It is important to clearly indicate the sources of the data and ensure that it is reliable and trustworthy.

9. Real-time Updates: Dashboards can provide real-time or near real-time updates to reflect the most current data. This allows users to make informed decisions based on the latest information.

10. Data Storytelling: Effective dashboards tell a story with the data, guiding users through the insights and highlighting key findings. This can be achieved through the arrangement of visuals, annotations, and narratives that guide the user's attention and understanding.