Dive into the fourth part of a comprehensive data visualization course focusing on Altair scales, axes, and legends in Python. Learn to leverage Vega's rich features for customizing data visualizations. Explore the Antibiotics dataset while mastering techniques to adjust scales (linear, log, sqrt) and create nonlinear axes. Discover how to customize axes with sorting and orientation options, equalize axes with matching domains, and adjust grid lines. Gain expertise in customizing color legends, including domain and range parameters, position, and orientation. Explore Altair color schemes and learn to extract substrings as new features using transform_calculate. Uncover biological clues from visualizations, use colors to encode quantitative values, and sort axes with EncodingSortField. Master the art of customizing color legends and titles to create polished, informative data visualizations.