```json { "action": "final", "content": "## Distribution Summary for Numeric Columns\n\nThe dataset contains three numeric columns in the main scores table (`2010_2026_scores`), each with distinct distribution characteristics:\n\n### AwayScore\n- **Range**: 0 to 59 points (spread: 59)\n- **Central tendency**: Mean 21.2, Median 21.0\n- **Variability**: Standard deviation 9.8\n- **Notes**: 837 null values present\n\nThe away team scores are tightly centered around 21 points with relatively symmetric distribution (mean ≈ median).\n\n### HomeScore\n- **Range**: 0 to 70 points (spread: 70)\n- **Central tendency**: Mean 23.1, Median 23.0 \n- **Variability**: Standard deviation 10.2\n- **Notes**: 837 null values present\n\nHome teams score slightly higher on average (about 2 points more than away teams) with a wider range of outcomes. The distribution is also symmetric.\n\n### Season\n- **Range**: 2010 to 2026 (spread: 16 years)\n- **Central tendency**: Mean 2018.0, Median 2018.0\n- **Variability**: Standard deviation 4.9\n- **Notes**: No null values\n\nThe season distribution is perfectly centered at 2018, indicating relatively balanced coverage across the 17-year span from 2010 to 2026.\n\n---\n\n**Data Quality Note**: Both score columns have 837 null values (13.5% of the 6,185 total games), likely representing games not yet played or incomplete data for future seasons (2025-2026).", "charts": [ { "kind": "bar", "x": "column_name", "series": ["spread"], "title": "Spread (Range) by Column" } ] } ```