Data Visualisation Redesign

Design

Visualisation Principles

Teaching

👨‍🎨 Visualisation Redesign

I have redesigned visuals which improved clarity, accessibility and enhanced storytelling impact. These first two examples were made publicly available and experienced enhanced social media interaction and visibility than their predecessors.

The third example was a personal project, as I attempted to delve into the data behind my personal HYROX performance.

Redesign Projects Include:

🏠 Example 1: Household Net Wealth
🏦 Example 2: Loan Interest Rates
🏃‍♂️ Example 3: Personal HYROX Data

🏠 Before Vs. After (Example 1: Household Net Wealth)

⮐ Before

⮑ After

🗣️ Improvements Explained

🏠 Before Vs. After (Example 2: Loan Interest Rates)

⮐ Before

⮑ After

🗣️ Improvements Explained

🏃‍♂️ Example 3: Personal HYROX Data

⮐ Before

Three separate charts describing HYROX Performance.

⮑ After

Combination of three separate charts into a clean, single graphic.

Click Image to enlarge 👇

🔨 Chart Redesign Process

1️⃣ Part 1: Pre-Chart Thinking

2️⃣ Part 2: Systematic Chart Redesign Template

🎨 Data Visualization Style Guide Creation

In 2024, I created a Data Visualization Style Guide for the Central Bank of Ireland, developed in collaboration with the Communications department.

This guide formalised the institution’s approach to visual communication — ensuring that charts and dashboards across all departments followed a consistent, accessible, and design-informed standard.

Purpose of the Guide:

Establish color palettes aligned with accessibility and brand identity
Promote best practices for labeling, annotation, and storytelling
Standardise visual output across RShiny and publication workflows

The guide has since been implemented to elevate visual standards and ensure chart consistency across the organisation.

📄 View the Data Visualisation Style Guide (PDF)

🧑‍🏫 Teaching & Workshops

Alongside my redesign projects, I have designed and delivered numerous data visualisation workshops, ranging from 1-hour sessions to 3-hour deep dives, catering to both technical and non-technical audiences.

👨‍💻 Technical Workshops — ggplot2 and Data Visualisation in R

These sessions focus on developing hands-on skills using ggplot2 and the grammar of graphics framework.

Participants learn to:

Build visuals layer by layer using R and ggplot2
Customise color, theme, and layout for professional-quality outputs
Apply design principles directly within R scripts
Use reproducible workflows to standardize internal reporting visuals

Example sessions include:

“From Data to Design: An Introduction to ggplot2”

🖌️ Non-Technical Workshops — Principles of Data Visualisation

These sessions focus on conceptual understanding and visual storytelling.

Topics include:

The do’s and dont’s in data visualisation
Research-based appraoches that lead to greater chart engagement
Applying best practices to enable charts of greater clarity

Example sessions include:

“Design Thinking for Analysts”

I have delivered these workshops within the Central Bank of Ireland where they have helped elevate in-house visualisation standards and design literacy.

💡 Key Takeaways

Effective visualization = design + communication
Redesigning a chart is about understanding audience perception and context, not just aesthetics
Teaching others reinforces strong habits of clarity, simplicity, and storytelling in every visualisation

🏁 Summary

This section of my portfolio reflects not only my ability to create impactful visuals, but also to teach and empower others to do the same — helping teams communicate data more clearly, confidently, and creatively.