{
    "action": "final",
    "content": "Distinct-value counts for each categorical column in `raw.Social_media_impact_on_life` (4,500 rows), from the query already run:\n\n- **Student_ID**: 4,500 distinct values. This is one per row, so it is the unique key and not a true category.\n- **Gender**: 4\n- **Academic_Level**: 3\n- **Primary_Platform**: 7\n- **Device_Type**: 3\n- **Late_Night_Usage**: 2 (a boolean, so true or false)\n- **Social_Comparison_Frequency**: 5\n- **Overall_Impact**: 3\n- **Age**: 12. It is numeric, but it behaves like a low-cardinality classifier. The card's \"~10 distinct\" was only approximate, and the exact count is 12.\n\nExcluding the ID, the categorical columns have between 2 and 7 levels, with Primary_Platform the richest at 7. All of them are small enough to group by directly. Age has the most levels after that, at 12."
}