Some common mistakes to avoid in visual discovery include not having a clear hypothesis or goal, not understanding the data you're working with, and not being open to unexpected patterns or trends. It's also important to avoid getting overwhelmed by the complexity of the data and to remember to stay focused on your initial question or hypothesis.
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