detecting patterns, trends, and anomalies within datasets. It reflects how data analysis transforms raw information into meaningful insights for decision-making., filling missing values with the mean. This approach can distort the data if it contains outliers or is not normally distributed. It serves as a reminder that careless imputation can harm the accuracy of data analysis.,

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