<result> <column_name>Age</column_name> <family>uncertain</family> <subtype>none</subtype> <confidence>0.0</confidence> <requires_user_confirmation>true</requires_user_confirmation> <sum_meaningful>false</sum_meaningful> <signed>false</signed> <reducers> <primary_reducer>none</primary_reducer> <valid_reducers>none</valid_reducers> <excluded_reducers>all reducers - column is VARCHAR with non-numeric values</excluded_reducers> <average_semantics>n/a</average_semantics> </reducers> <inner_outer_measure> <inner_measure_reducer>n/a</inner_measure_reducer> <outer_measure_reducer>n/a</outer_measure_reducer> </inner_outer_measure> <multiplicative_partner_derivable>false</multiplicative_partner_derivable> <reasoning> This column is VARCHAR dtype and contains non-numeric values ("-----", "10x", "365", "12", "-5"). The statistics are all null because the column cannot be parsed as numeric. Age as a concept would typically be an intensive_additive measure (a level where mean is appropriate, sum is meaningless), but this column contains mixed string/numeric data that prevents any numeric classification. This is not a measure column in the quantitative sense - it requires data cleaning or is a categorical/text field. Cannot classify family or subtype. </reasoning> <table_type_conflict>false</table_type_conflict> </result>