Practical Data Science using Python - EDA Project - 3

The video tutorial covers the analysis of loan status data, focusing on three categories: charged off, fully paid, and current. It demonstrates how to visualize these categories using bar plots and Seaborn's count plot. The tutorial then introduces multivariate analysis, explaining how to use heat maps to identify correlations between data features. Finally, it discusses methods to find null values in datasets, comparing the use of the info function and the ISNA method.

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