Explore the fundamental building blocks of Altair in this comprehensive tutorial, the second part of a Data Visualization in Python series. Dive deep into data types, graphical marks, and visual encoding channels essential for creating powerful visualizations. Learn about nominal, ordinal, and quantitative data types, and master techniques such as customizing scales, ranges, and colors. Discover how to enhance your plots with tooltips, faceting, and legend positioning. Gain hands-on experience with various graphical marks including bar, line, and area charts, and explore different stacking strategies. Based on the University of Washington's data visualization curriculum, this tutorial provides practical insights and code examples to elevate your Altair skills.