```json { "action": "final", "content": "## Numeric Column Distributions\n\nThe dataset contains **3 numeric columns** with the following distributions:\n\n### 1. **year** (Olympic year)\n- **Range**: 1988 to 2024 (36-year span)\n- **Mean**: 2006.09\n- **Median**: 2006.0\n- **Standard Deviation**: 11.91 years\n- **Interpretation**: The data is evenly distributed across Olympic cycles from Seoul 1988 to Paris 2024, with the median at 2006 indicating balanced coverage across the time period.\n\n### 2. **is_china** (Binary flag: 1 = China, 0 = other countries)\n- **Range**: 0 to 1\n- **Mean**: 0.52\n- **Median**: 1.0\n- **Standard Deviation**: 0.50\n- **Interpretation**: China accounts for approximately 52% of all medals in the dataset (69 of 132 medals). The median of 1.0 indicates that when sorted, more than half the medals belong to China, reflecting their dominance in Olympic table tennis.\n\n### 3. **medal_value** (Numeric encoding: Gold=3, Silver=2, Bronze=1)\n- **Range**: 1 to 3\n- **Mean**: 2.0\n- **Median**: 2.0\n- **Standard Deviation**: 0.82\n- **Interpretation**: The medals are relatively evenly distributed across the three types (gold, silver, bronze), with the mean and median both at 2.0 suggesting a balanced mix. The standard deviation of 0.82 is expected for a roughly uniform distribution across three discrete values.\n\nAll 132 rows contain complete data for these numeric columns (no nulls), as evidenced by the count matching the total row count for each column." } ```