Session SC3.6

SC3.6 | DataViz: Visualise your data effectively and avoid common pitfalls

DataViz: Visualise your data effectively and avoid common pitfalls

Co-organized by EOS1/ESSI6/GD7/HS11, co-sponsored by YHS

Convener: Epari Ritesh PatroECSECS | Co-conveners: Paola MazzoglioECSECS, Edoardo MartiniECSECS, Roshanak TootoonchiECSECS, Xinyang FanECSECS

Thu, 07 May, 14:00–15:45 (CEST)

Room 0.55

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 every day. 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 or suboptimal plot types, or inaccessible colour 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 visualisation skills so that the research outputs would be more accessible within their own scientific community and reach a wider audience.
Topics discussed include:
- golden rules of DataViz;
- choosing the most appropriate plot type and designing a good DataViz;
- graphical elements, fonts and layout;
- colour schemes, accessibility and inclusiveness;
- creativity vs simplicity – finding the right balance;
- figures for scientific journals (graphical requirements, rights and permissions);
- tools for effective data visualisation.
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 to a wider audience, informative and beautiful. If you feel your graphs could be improved, we welcome you to join this short course.

All the course materials will be uploaded on the YHS website (https://younghs.com) a few weeks after EGU.

Invited speaker: Dario Treppiedi, Assistant Professor at the Department of Engineering of the University of Palermo. His research focuses on the statistical analysis of extremes in hydrology and climatology, with particular emphasis on extreme precipitation events. He works on advanced statistical modeling approaches to better understand the behavior of extremes and to improve the assessment of related risks under changing climate conditions.

The oral presentations are given in a hybrid format supported by a Zoom meeting featuring on-site and virtual presentations. The button to access the Zoom meeting appears just before the time block starts.