3D visualizations are crucial for interpreting complex datasets, offering depth and spatial insights that 2D graphs cannot. Learn to produce advanced visualizations—including labeled scatterplots, correlation heatmaps, and 3D plots—using Python libraries like Matplotlib, Seaborn, and GeoPandas. This text is part of the Visualizing Data pathway.