```json { "action": "final", "content": "## Missing Values Analysis\n\nI've analyzed both tables in the dataset for missing values:\n\n### raw.popular_matches (152 rows)\n\nThis table has **significant missing data** across several opponent statistics:\n\n**Highest Missing Rates:**\n- `opponent_2_has_been_ko_percentage`: **36.18%** missing (55 of 152 rows)\n- `opponent_2_rounds_boxed`: **17.76%** missing (27 of 152 rows)\n- `opponent_1_round_ko_percentage`: **15.79%** missing (24 of 152 rows)\n- `opponent_2_round_ko_percentage`: **11.84%** missing (18 of 152 rows)\n- `opponent_1_has_been_ko_percentage`: **11.18%** missing (17 of 152 rows)\n\n**Lower Missing Rates:**\n- `opponent_2_avg_weight`: 7.89% missing (12 rows)\n- `opponent_2_estimated_punch_resistance`: 5.26% missing (8 rows)\n- `opponent_2_estimated_ability_to_take_punch`: 4.61% missing (7 rows)\n- `opponent_1_estimated_punch_resistance`: 1.32% missing (2 rows)\n- `opponent_1_avg_weight`: 0.66% missing (1 row)\n- `opponent_1_estimated_ability_to_take_punch`: 0.66% missing (1 row)\n\n**Pattern:** Opponent 2 statistics have substantially more missing data than Opponent 1 statistics, particularly for knockout-related metrics.\n\n### raw.fighters (2,760 rows)\n\nThis table has **no missing values** — all 11 data columns (name, wins, looses, draws, ko_rate, stance, age, height, reach, country) are complete across all 2,760 fighter records.\n\n### Summary\n\nOnly the `popular_matches` table contains missing data, concentrated in opponent performance metrics. The `fighters` table is fully populated." } ```