Thing 10: Visualise your Data
Visualisation can be effective when communicating complex research. Data visualisations – which may take the form of charts or graphs, diagrams, images, animations and infographics – can be a powerful way of synthesising your research, and representing it in a way that’s understandable even to a non-expert audience.
- Purpose: will the visualisation actually allow for a meaningful representation of the data, or will it be “pretty” but without adding any value to the interpretation of your research?
- Audience: what are your audience’s requirements, how will they access the visualisation, and which part of your data is most relevant to them?
- Data: What kind of data are you trying to visualise? This will inform what kind of visualisation lends itself, and how this is best displayed.
- Format: e.g. print, online, static, active… the format will depend on the target audience, and the data to be visualised.
- Tools: what tools are you already familiar with – will they “do the job”? Are you prepared to invest time if you need to upskill yourself to produce a certain type of visualisation? Make sure to consider the purpose of your visualisation first!
In our 2014 post on data visualisation tools, we introduced Tableau Public, Gapminder and Google Public Data Explorer. Not quite what you are looking for? Here are some more options:
- Plotly: an online data analytics and visualisation tool.
- Carto: an easy-to-use online, open source mapping tool.
- Gephi: open-source software for visualising and analysing large network graphs. It can be used to explore, analyse, manipulate and export different types of graphs. Provides useful documentation such as the Quick start guide.
- Power BI: an online data analytics and visualisation service. Designed for use with dynamic data feeds and large datasets. Easy-to-use dashboards, interactive reports, and lots of user help. Uni Melb staff can access PowerBi via Office 365. Compare the features of Power BI Free and Pro versions.
- ConneX: Contextual Network Explorer: networking tool produced by the eScholarship Research Centre (eSRC) at the University of Melbourne.
Another initiative, AURIN (led by the University of Melbourne) offers tools as well as open access to data from more than 60 institutions and data providers.
- The University of Sydney’s Library Guide “Data Analysis and Visualisation” offers a great introduction to data visualisation.
- Check upcoming workshop dates for training sessions run by Research Platform Services on some of the tools introduced in this post.
This post was written by Jennifer Warburton (Manager, Research Publications and Programs) and Julia Kuehns (Liaison Librarian (Research), Arts).