Testing a hypothesis is a focused approach where you have a specific idea or theory that you want to prove or disprove. On the other hand, mining for patterns, trends, and anomalies is a more flexible, open-ended approach. It involves exploring the data without any preconceived notions, looking for any interesting patterns or trends that emerge, or any anomalies that stand out.
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