Introduction Exploratory Data Analysis (EDA) is a critical step in any data analysis process. It involves understanding the data, discovering patterns, identifying anomalies, and formulating hypotheses that can drive further analysis. This README provides a guideline for performing EDA on various data sets. Tools for EDA Python: Pandas, NumPy, Matplotlib, Seaborn.
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