Data visualisation

What is data visualisation?

Data visualisation presents data in a graphical or visual format. It can make information easier to understand and communicate.

Data visualisation principles

1. Start with accessibility

Make charts understandable for everyone. This includes users with disabilities or colour vision differences.

Creating accessible charts

2. Choose the right visualisation

Select a visualisation or chart type that best communicates the insight you want users to understand.

Choosing the right visualisation type

3. Make the message clear

Use clear titles, labels and structure to help users gain an immediate understanding of the key points.

4. Use colour with purpose

Never rely on colour alone to communicate meaning. Use labels, text and structure to reinforce the message. Turas offers two palettes:

• categorical palette: use for different categories of information that do not have an order, ranking or status
• status palette (red, amber and green): use for status information such as compliance, risk or progress

5. Keep it simple

Remove unnecessary clutter and include only elements that help users understand the data. Every element should support understanding of the data. Data integrity and accuracy are essential. Do not confuse, distort or overload users with data or visuals.