Basic Imaging: Radio Telescope Data Processing

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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 the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

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 EPFL's doctoral theses history, data visualization, and the innovative D3 approach.

Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.