Published April 17, 2024 | Version v5
Lesson Open

Data Visualisation

  • 1. University of Tartu, ELIXIR Estonia


In the course of their work, researchers encounter data in various forms. Yet, when data is presented in its raw, tabular form, it often appears as a complex puzzle. This can be especially overwhelming when dealing with large datasets. Fortunately, this is where the magic of data visualization comes into play. The main idea is to extract the key insights from the data and craft a narrative around it. However, it's important to note that hasty chart-making can lead to confusion. Poorly designed visuals risk misinterpretation and can be misleading. That's why it's crucial to approach data visualization thoughtfully and precisely.

This webinar will discuss why data visualization is important and what we should consider when designing it. This means what chart type to pick, how much information to include, what (and how) to highlight, etc. The webinar will have a theoretical aspect, and we will assess real-life examples.

Learning outcomes for the participants:

  • Choose appropriate chart types
  • Avoid common mistakes in data visualization
  • Maximise data-ink ratio



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Related works

Is derived from
Lesson: 10.5281/zenodo.7251489 (DOI)