Concept

Data and information visualization

Related lectures (32)

Data Visualization: Techniques, Tools & Concepts

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

Explores parallel computation in CFD, emphasizing its implementation in Fluent and visualization techniques for scientific data interpretation.

Visual Extensions in the Workplace

Explores the use of visual extensions like AR and VR in the workplace, emphasizing their benefits, challenges, and importance for enhancing workplace efficiency.

Visualizing Data: Techniques and Applications

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

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 Science Essentials: Pandas, Numpy, Matplotlib

Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.

Data Visualization: Principles and Practices

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

Data Visualization & Storytelling

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

Data Science: Python for Engineers - Part II

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

Data Visualization Techniques: Applications and Principles

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Data Visualization: Principles and Techniques

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

Data Visualization: Techniques and Applications

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

Geometric Transformations in R2 and R3: Visualizations and Rotations

Covers visualizations in orthonormal bases in R2, focusing on rotations and reflections.

Data Visualization: Design Principles

Explores design principles in data visualization, emphasizing scale selection, visual integrity, and minimizing clutter.

Super-vision: Celebrating EPFL's Doctoral Theses History

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

Data Science Visualization with Pandas

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

Principal Component Analysis: Dimension Reduction

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

Digital Humanities Workflow

Explores the workflow in Digital Humanities, emphasizing data collection and visualization.

World of Data: Visualization and Ethics

Explores data visualization's significance in communication and cognition, along with ethical considerations.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.