Store Annual Report

First, I load the Vrinda Dataset using Pandas and explore its structure with .info() and .describe(), while handling any missing values. Next, I clean the data by removing duplicates, converting data types, and filling missing values before visualizing patterns using Matplotlib and Seaborn. Then, I perform statistical analysis like correlation and group-wise aggregation to uncover insights.

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