Data Visualization: Techniques and Applications

Related lectures (32)

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Covers the basics of creating and customizing charts in Excel.

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

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Delves into the fundamentals of data journalism and showcases its impact through real-world examples from The Pudding and The Guardian.

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

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

Covers the NABEL Data Analysis Assignment, emphasizing data analysis skills and report formatting for air pollution concentrations and meteorology.

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

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

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.