Common patterns or trends in data analysis can include identifying correlations, spotting anomalies, recognizing clusters, and discovering trends over time. These patterns can help in hypothesis testing and mining for patterns, trends, and anomalies. The process can be more open-ended the bigger and more complex the data is, and the less you know going in.
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