WeObserve MOOC, enrollment is now open: The online course Citizen Science Projects: How to make a difference on FutureLearn addresses data analysis and visualisation in depth, including many examples, discussion of biases in data visualisation, and data sets for you to experiment with.
VIDEO: “How we did it: Visualising Data” provides more examples of data visualisations from four Citizen Observatory projects.
TOOL: WeObserve Toolkit for data quality and visualisation is a selection of tools that can help you with all aspects of citizen-generated data management, including validation, analysis, quality assurance and visualisation.
TOOL: The Data Postcard tool is designed for community members and citizen science practitioners wanting to share the data they collect. It is a creative way to visualise and share data from a citizen science project.
Data visualisation applications:
- Matplotlib: For those of you with programming experience, Matplotlib is a popular choice for data visualisation and can be easily integrated into Jupyter notebooks.
- Other free tools: Grafana, Rawgraphs, and Apache Superset