```json { "action": "final", "content": "## Numeric Column Distributions\n\nThe dataset contains **7 numeric rating columns** in the `beer_ratings` table (14.3M rows). Here's the distribution summary for each:\n\n### Rating Components (0-10 scale)\n\n**Aroma** (how the beer smells):\n- Range: 0 to 10\n- Mean: 5.63, Median: 7.0\n- Standard deviation: 2.70\n- The median exceeds the mean, indicating a left-skewed distribution with most ratings on the higher end\n\n**Flavor** (taste profile):\n- Range: 0 to 10 \n- Mean: 5.69, Median: 7.0\n- Standard deviation: 2.73\n- Similar pattern to aroma—most beers rated favorably\n\n### Rating Components (0-5 scale)\n\n**Mouthfeel** (texture and body):\n- Range: 0 to 5\n- Mean: 2.86, Median: 3.0\n- Standard deviation: 1.39\n- Proportionally similar distribution to the 0-10 components\n\n**Appearance** (visual presentation):\n- Range: 0 to 5\n- Mean: 2.97, Median: 3.0 \n- Standard deviation: 1.42\n- Slightly higher average than mouthfeel\n\n### Composite Scores\n\n**Overall** (0-20 scale):\n- Range: 0 to 20\n- Mean: 11.56, Median: 13.0\n- Standard deviation: 5.53\n- The widest absolute spread, reflecting its larger scale\n\n**Total Score** (normalized 0-5):\n- Range: 0.1 to 5.0\n- Mean: 3.38, Median: 3.5\n- Standard deviation: 0.70\n- The tightest relative spread (coefficient of variation ~21%)\n\n**Description Score** (quality metric for review text):\n- Range: -10,495 to 500\n- Mean: -5.30, Median: 1.0\n- Standard deviation: 58.32\n- Extreme outliers present (minimum of -10,495); the median of 1.0 suggests most reviews score positively despite the negative mean\n\n### Key Patterns\n\n1. **Positive bias**: All rating components show medians at or above their scale midpoints, indicating users tend to rate beers they review favorably\n2. **Consistency**: The four main rating dimensions (aroma, flavor, mouthfeel, appearance) show similar relative spreads (std dev ~50% of scale range)\n3. **Outlier impact**: Description score's extreme range and high standard deviation suggest it uses a different scoring methodology, possibly penalizing very short or low-quality text heavily\n\nAll statistics computed from the full 14.3M rating records via SQL aggregation (step-9).", "charts": [ { "kind": "bar", "x": "column_name", "series": ["mean_val", "median_val"], "title": "Mean vs Median by Rating Column" } ] } ```