Zill Library

zi.plot_missingness(df)

The output will show that 'Age' and 'Cabin' have the most missing values. Zill’s missingness_correlation function can reveal if missing age is related to passenger class. zill library

Zill includes a PanelImputer that understands hierarchical structures—for example, quarterly financial data for different companies. It imputes missing Q2 earnings for Company A using Company A’s Q1 and Q3, but also borrows strength from similar companies in the same industry. The output will show that 'Age' and 'Cabin'

Users of Zill/Z-Library often face three specific frustrations: zill library