C4D: Visualise data

What is it?

Data visualisation is the process of representing data graphically. It can make it easier to see trends and patterns. Data visualisation can be used during data analysis as part of making sense of data. It can also be used to communicate results as part of producing the reports.

General information

The Rainbow Framework includes advice on choosing data visualisation techniques to suit different kinds of data. This page is recommended background reading before considering methods to apply to C4D. 

Applying the C4D principles


Data visualisation as part of participatory processes of analysis can enable better engagement and analysis by stakeholders. Some methods (such as mapping, photovoice) generate visual data to begin with and this can also be useful (see Collect and/or retrieve data (methods) for more information) .


Data visualisation tools are particularly in complex situations. Trialling a range of different ways to visualise data during analysis can reveal unexpected relationships and change trajectories.


From a communication of results perspective, data visualisation can help as many groups as possible to engage with data and findings. This has overlaps with the Ensure accessibility task.

Recommended methods and adaptations for C4D


'C4D: Visualise data' is referenced in: