SC3.9 | DataViz: Visualise your data effectively and avoid common pitfalls
DataViz: Visualise your data effectively and avoid common pitfalls
Co-organized by ESSI2/GM12/HS11/NH12/OS5/PS9, co-sponsored by YHS
Convener: Swamini KhuranaECSECS | Co-conveners: Edoardo Martini, Paola Mazzoglio, Epari Ritesh Patro, Roshanak Tootoonchi
Thu, 27 Apr, 16:15–18:00 (CEST)
Room -2.61/62
Thu, 16:15
Visualisation of scientific data is an integral part of scientific understanding and communication. Scientists have to make decisions about the most effective way to communicate their results everyday. How do we best visualise the data to understand it ourselves? How do we best visualise our results to communicate with others? Common pitfalls can be overcrowding, overcomplicated plot types or inaccessible color schemes. Scientists may also get overwhelmed by the graphics requirements of different publishers, for presentations, posters etc. This short course is designed to help scientists improve their data visualization skills in a way that the research outputs would be more accessible within their own scientific community and reach a wider audience.
Topics discussed include:
- Choosing a plot type – keeping it simple
- Color schemes – which ones to use or not to use
- Creativity vs simplicity – finding the right balance
- Producing your figures and maps – software and tools
- Figure files – publication ready resolutions
This course is co-organized by the Young Hydrologic Society (YHS), enabling networking and skill enhancement of early career researchers worldwide. Our goal is to help you make your figures more accessible by a wider audience, informative and beautiful. If you feel your graphs could be improved, we welcome you to join this short course.


  • Swamini Khurana, McKinsey & Company, Belgium
  • Edoardo Martini, Leipzig University, Germany
  • Paola Mazzoglio, Politecnico di Torino, Italy
  • Epari Ritesh Patro, University of Oulu, Finland
  • Roshanak Tootoonchi, University of Trento, Italy