Data Visualization Techniques: Applications and Principles

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Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

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

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

Explores data manipulation, exploration, and visualization in data science projects using Python.

Explores the use of aesthetics, visual metaphors, readability, and data integrity in creating effective visual representations.

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

Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.

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