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In the context of developing a machine learning model for a financial services company, you are tasked with selecting a data visualization library that can efficiently handle the creation of complex statistical graphics to analyze customer behavior patterns. The library should simplify the visualization process without compromising on the ability to customize plots for detailed analysis. Given these requirements, which of the following statements best highlights the advantage of using Seaborn over Matplotlib for this scenario? Choose the two most appropriate options.
A
Seaborn provides a higher-level interface that simplifies the creation of complex statistical graphics with less code.
B
Seaborn offers built-in machine learning algorithms for direct application on visualized data.
C
Seaborn is designed to outperform Matplotlib in processing speed for very large datasets.
D
Seaborn's default themes and color palettes are more aesthetically pleasing, requiring no additional customization.
E
Seaborn integrates seamlessly with pandas DataFrames, making it easier to work with structured data.