Exploratory Data Analysis

Exploratory Data Analysis (EDA) is the process of analyzing and visualizing data to understand its underlying structure and patterns. It is a specialized skill that requires a combination of statistical knowledge, programming skills, and creativity. EDA helps data analysts and scientists identify trends, anomalies, and exceptions in data, which can lead to new insights and discoveries. It also helps them validate their assumptions and hypotheses, and prepare data for modeling and machine learning. Effective EDA requires a deep understanding of the data domain, the tools and techniques for data analysis, and the ability to communicate findings effectively to stakeholders.

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