Work / Portsmouth’s Pattern

Portsmouth’s

Pattern

Client

Portsmouth City Council

Year

2026

Role

Data Visualisation Designer

Type

Static

Tools

Figma | Claude Code

Brief

This was a concept design submitted and later selected to be commissioned by the council as part of the public art trail. A data visualisation design representing a population divided into three categories, showing their proportions without using numbers. The distribution is conveyed intuitively through visual perception.

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Nested colourful circles encoding age, gender and employment rate, arranged as a grid

The journey

I performed a detailed review of the 2021 Census data (95% confidence level), examining and analysing various cross-sections of the dataset. Using a standardised factor, I calculated the specific number of circles required for each data point to ensure visual consistency.

Legend explaining the gender, age and employment-rate encoding

Transformation

Each category was assigned a distinct colour and scaled proportionally to the size of the circle.

Underlying data table of Portsmouth employment statistics by age and gender

Development

Developing the Visual Units: with the legend defined, I proceeded to stack the data layers and generate the proportional circle elements.

List of employment rates by gender and age group, paired with their circle

The outcome

A structured 21×21 grid where the number of circles represents proportional data values. By omitting traditional percentages and numbers, the design invites the viewer to explore the dataset and discover patterns intuitively.

Note: at that time, the sponsors for this project requested a colour change.

Final nested-circle pattern, full grid

from Digital to
Physical Art

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Physical sculpture covered in nested colourful circles, installed as part of the Portsmouth art trail

I am a Senior UX & Data Visualisation Designer with 10+ years of experience transforming complex metrics into intuitive, human-centric interfaces.

A decade of UX practice, now focused on one question: how does data actually feel to the people reading it?

Currently a PhD researcher at the University of Portsmouth, my research explores how data visualisation can enhance understanding and engagement among individuals living with diabetes. My work investigates how data visualisation can bridge cold clinical metrics and the deeply lived experience of managing diabetes, transforming them into visual narratives that alter how individuals perceive and emotionally connect with data. Ultimately, my research aims to reframe data not just as a tool for analytical efficiency, but as a powerful, relatable medium for storytelling, connection, and personal insight.

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