Make your numbers understandable.
Data visualisation connects analysis and design. We create charts and views that help people compare, understand relationships and see uncertainty.
The chart is part of the explanation
A number can be correct while its presentation is misleading. Without a period, denominator or comparison, readers have to guess its meaning. We start with the question a visualisation should answer and the people who need to use it.
Bring analysis and design together
Our approach connects metric definitions, information design and UX. A management view needs different detail from an operational report or a public infographic. The aim is a presentation that connects its message, evidence and possible next action.
Choose a form that serves the question
Do you need to show change over time, differences between groups or the composition of a total? That question guides the chart choice. Scales, units, periods and sources belong alongside the data.
Illustrative example, not a client result: enquiry volume can rise while the qualified share falls. Showing count, share and their definitions makes this distinction visible. It does not establish the cause.
Make it readable and usable
We plan clear labels, meaningful contrast and explanations that do not rely on colour alone. Interactive views include keyboard access and appropriate text or table alternatives, followed by checks of the actual implementation.
An initial project might deliver a revised report template or a clickable prototype with agreed views. Data connections and ongoing refresh are separate tasks that we explicitly scope.
Deliver a presentation system your team can use
Depending on scope, you receive chart templates, labelling and state rules, and a tested prototype or implemented view. Missing values, empty results and stale data need understandable states just as the normal case does.
How we deliver
Understand usage
Identify the audience, decision and context of use.
Define the data
Document metrics, units, comparisons and limitations.
Design the views
Develop charts, information hierarchy and explanations.
Test understanding
Check whether users interpret the message and its limits correctly.
Handover or build
Deliver templates and rules or implement the agreed view.
FAQ
Sources and technical context
- Government Analysis Function: Data visualisation
Guidance on chart selection, labels and text alternatives; not evidence of a client project.
Which report still needs too much explanation?
Show us a typical view and tell us who needs to make which decision. We will shape a focused starting point.
Discuss visualisation