Visual discovery is considered the most complicated quadrant because it involves both testing a hypothesis and mining for patterns, trends, and anomalies. The complexity arises from the fact that the former is focused while the latter is more flexible. The larger and more complex the data, and the less you know going in, the more open-ended the work becomes.
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