Data Visualization: Principles and Techniques

This lecture covers the principles and techniques of data visualization, including the importance of storytelling, data exploration, anomaly detection, model building, and effective communication of results. It emphasizes the use of various types of plots such as histograms, scatter plots, box plots, and stacked plots to analyze different types of data. The instructor also discusses the significance of color choices, dimensionality reduction, and the visualization of multimodal data. Examples from real-world applications, such as journalism and public education, are provided to illustrate the best practices in data visualization.