9. Data Visualisation and Interpretation
Overview
This module explores how data and modelling outputs can be visualised and interpreted effectively to support decision-making. Participants examine different approaches to presenting information clearly, accurately, and persuasively, while also identifying common pitfalls in interpretation. The module emphasises the role of visualisation in translating technical evidence for policy and programme audiences.
By the end of this module, participants should be able to:
Demonstrate effective ways to visualise modelling data and outputs
Understand how visualisation choices influence interpretation and decision-making
Identify common misinterpretations and communication challenges and how these can be avoided
Principles of effective data visualisation
Matching visuals to audiences and objectives
Interpreting trends, comparisons, and uncertainty
Avoiding misleading or overly complex visuals
Storytelling with data
Delivery Plan
This module consists of two sessions, a lecture and a practical. These can be run back-to-back or spread over separate days depending on the schedule being followed. The session is designed to be interactive, with opportunities for participants to engage in a practical exercise.
| Topic | Description | Duration | Format |
| Introduction to Data Visualisation | Why visualisation matters for policy engagement Model outputs and sources of bias |
20 min | Presentation |
| Principles of Data Visualisation | Accuracy and honesty Clarity and simplicity Fairness and objectivity Privacy and trust Inclusiveness and accessibility |
40 min | Presentation |
| Interactive Exercise & Discussion | Examples of effective and ineffective visuals in malaria model outputs Balancing simplicity and technical accuracy |
45 min | Interactive plenary session |
| Practical: Plotting and Interpretation | Use of wireframes Practical tools for plotting and wireframes |
45-60 min | Practical session (plenary) |
| Reflection and Wrap-Up | Key takeaways Where to next |
15 min | Presentation |
Practical Exercise
Exercise Title: Improving a Visualisation
Instructions:
Participants:
Review a poorly designed chart or dashboard
Identify interpretation challenges or misleading elements
Redesign the visual to improve clarity and policy relevance
Present and explain their changes
Facilitator Guidance
Use examples relevant to malaria programmes and modelling outputs
Encourage participants to focus on the “message” behind the visual
Reinforce accessibility and audience-centred communication
Discuss both design and interpretation challenges
Materials and Resources
Example charts and dashboards
Visualisation design checklist
Flipcharts or software tools
Facilitator presentation slides