{
    "action": "final",
    "content": "## Numeric Column Distributions\n\nI've analyzed all numeric columns in the Zomato Restaurant Dataset. Here's the distribution summary for each:\n\n### Identifiers & Codes\n- **Restaurant ID**: Ranges from 53 to 18,500,652 with a mean of ~9.05M and median of ~6.00M. The large standard deviation (8.79M) indicates IDs are widely spread.\n- **Country Code**: Ranges from 1 to 216 with a mean of 18.4 and median of 1.0. The low median suggests most restaurants are in country code 1, with occasional entries from other countries.\n\n### Geographic Coordinates\n- **Longitude**: Spans -157.95° to 174.83° (mean: 64.13°, median: 77.19°, stddev: 41.47°) — global coverage with concentration around the median.\n- **Latitude**: Ranges from -41.33° to 55.98° (mean: 25.85°, median: 28.57°, stddev: 11.01°) — narrower spread, suggesting focus on mid-latitude regions.\n\n### Cost & Pricing\n- **Average Cost for Two**: Highly variable, from 0 to 800,000 (mean: 1,199, median: 400, stddev: 16,121). The massive standard deviation and mean-median gap reveal extreme outliers and right-skewed distribution — most restaurants are affordable (median 400), but some very expensive establishments pull the mean up.\n- **Price Range**: Categorical scale from 1 to 4 (mean: 1.80, median: 2.0, stddev: 0.91) — most restaurants fall in the lower-to-mid price tiers.\n\n### Ratings & Engagement\n- **Aggregate Rating**: Ranges 0.0 to 4.9 (mean: 2.67, median: 3.2, stddev: 1.52). The median above the mean suggests a left skew — many restaurants have decent ratings, with a tail of poorly-rated or unrated establishments.\n- **Votes**: From 0 to 10,934 votes (mean: 157, median: 31, stddev: 430). The large gap between mean and median indicates most restaurants have few votes, while a small number are heavily reviewed.\n\n### Key Insights\n- **Cost** and **Votes** show the most extreme spreads (stddev >> mean), indicating highly skewed distributions with outliers.\n- **Ratings** are moderately spread, with most restaurants rated above average (median 3.2/4.9).\n- **Geographic** data spans globally but concentrates in specific regions (low latitude stddev).\n- **Price Range** is the most uniform numeric dimension, clustering around budget-to-moderate tiers."
}