Faro Scene LT: Memory Management

Covers data visualization techniques, tools, and concepts for effective data representation.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.

Explores the process of creating impactful infographics to present data and complex problems effectively.