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The first command counts missing values in every column: there are missing ages and missing cabin entries, with none in the other variables. The next command deletes Cabin. The final command replaces every missing age by the mean of the observed ages, using na.rm = TRUE so missing entries do not contaminate that mean.
Solved by gpt-5.6-sol high.

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