Beyond Numbers:
Exploring the Art and Science of Data Visualization
11 January 2024 - 12h15-14h00
Online (Zoom)
Registration mandatory - Under this link
Program
Six tips to boost your data visualization skills
Enrico Alberto Chavez, Research Center for Statistics, Geneva School of Economics and Management.
In this presentation, we will discuss relevant choices to be made and pitfalls to be avoided for effective data visualization. Focusing on the barplot, one of the most commonly used representations, we will share recommendations that can be applied to all forms of visualization. Join us to find out how to improve your data visualization skills and create powerful charts.
Advanced visualization using the Gapminder tool and Sankey diagrams
Alain Hugentobler, Cellule R&D, Division Systèmes et technologies de l'information et de la communication.
In this presentation, we will explore the cutting-edge realm of data visualization through the use of the Gapminder tool and Sankey diagrams. Gapminder, renowned for its interactive and animated statistical representations, offers an unparalleled platform for understanding complex global trends and patterns. It enables users to navigate through a multitude of variables, revealing the dynamics of global development in an accessible and engaging format. Complementing this, we will delve into the world of Sankey diagrams, a powerful type of flow diagram that illustrates the movement of resources or information between multiple entities. These diagrams are particularly effective in displaying energy transfers, material and cost flows, and process mapping, and are invaluable for identifying inefficiencies and optimization opportunities. Together, these tools present a formidable approach to visualizing complex data, making them indispensable for researchers, educators, and anyone interested in data-driven insights.
What if we listened to the data?
Eric Sanchez, Faculty of psychology and Education sciences, LIP/TECFA
Rhythm and music are used as mnemonic means for teaching young students, series of items such as days of the week or alphabet. Indeed, representing data through sounds offers the opportunity to benefit from human capacity to memorize or monitor complex temporal audio data. As a result, data sonification might be an alternative to data visualization for the analysis of complex datasets. In this presentation, I will demonstrate how, within the framework of the SODA4LA project (Sonification of Data for Learning Analytics), we have turned digital traces collected from students learning legal rules through a learning game into music. I will discuss the benefits of this approach as well as its limitations.
