Data exploration is the process of examining data in an iterative way to discover patterns, anomalies, insights, and relationships. It often involves using various techniques such as data visualization, statistical analysis, and machine learning algorithms to gain a deeper understanding of the data. It is commonly used to identify trends, formulate hypotheses, and prepare data for further analysis or modeling.
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