This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Learn the various types of digital twins, how they are used for visualization and what considerations to make for successful implementation Discover how extended reality, including augmented, virtual ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

Data visualisation and chart analysis have evolved into essential tools for exploring and communicating complex quantitative information. Modern research within this field focuses on automating the ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...