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Digital tools for research

Find information on digital tools to analyse and visualise data and text.

Introduction to data visualisation

Data visualisation / data visualization (dataviz)  is an umbrella term for converting data sources into a visual representation (can include charts, spreadsheets graphs, maps, tables, animations, data art). In short, it is the process used to create data graphics.

Data visualisation can be used to analyse and better understand your research dataset as well as communicate your dataset and research story to an audience

Good data visualisation illuminates patterns and tells a research story. According to Yau*, the best data visualisation, "evokes that moment of bliss when seeing something for the first time, knowing that what you see has been right in front of you, just slightly hidden...and enables you to see trends, patterns, and outliers that tell you about yourself and what surrounds you". 

Yau, N. (2013). Data points visualization that means something  (1st edition). John Wiley & Sons, Inc., p. xi

Melbourne Urban Forest data visualisation

Data visualisation tools and applications

Curated collections of dataviz tools

Graphs, charts, diagrams

ExcelSPSS,  StorylineInfraNodusTableau PublicD3PythonR

* Note: RMIT provides licences to some commercial software packages (e.g. SPSS) for staff and students. Please visit the ITS lists of software available to staff and students to see what software you are eligible to access and how to obtain access.


GephiTableau PublicCytoscapeNodeXLD3Neo4j 

Resources and training

Tutorials and Resources

Library resources and LinkedIn Learning