Get a structured first read of pasted data: observations with the numbers cited, trends vs noise separated honestly, and the follow-up questions worth the effort.
Analyse this data:
{{data}}
Return: (1) 5 key observations, each citing the specific numbers, (2) trends and outliers — separating real patterns from noise honestly (say when the sample is too small to conclude), (3) likely explanations ranked by plausibility, marked [hypothesis] vs [visible in the data], (4) what this data CANNOT tell us that someone will want to conclude anyway, and (5) the 3 follow-up questions worth investigating, each with what answering it would change. If the data has quality problems (gaps, impossible values, mixed formats), lead with those — analysis on dirty data misleads.
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