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Lecture
Data Visualization: Design Principles
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Related lectures (32)
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Data Visualization: Techniques, Tools & Concepts
Covers data visualization techniques, tools, and concepts for effective data representation.
Air Pollution Data Analysis
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Data Visualization Techniques: Applications and Principles
Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.
Principal Component Analysis: Dimension Reduction
Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.
Data Visualization: Techniques and Applications
Explores data visualization techniques, design impact, and interactive applications for effective information communication.
Data Visualization & Storytelling
Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.
Super-vision: Celebrating EPFL's Doctoral Theses History
Explores EPFL's doctoral theses history, data visualization, and the innovative D3 approach.
Data Visualization: Principles and Practices
Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.
Visualizing Data: Techniques and Applications
Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.
Advanced Pandas Functions
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
