Data Visualization: Principles and Practices

Related lectures (32)

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

Analyzes hydrostatic pressures in ECG using Excel tools for data visualization.

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

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

Explores data visualization techniques, design impact, and interactive applications for effective information communication.

Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.

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

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

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