I need to analyze correlations between columns in this dataset. Let me start by examining the main tables and their numeric columns to compute correlations. From the evidence, I can see: - The main tables are yearly play-by-play tables (2010_plays through 2026_plays) and a scores table (2010_2026_scores) - The scores table has numeric columns: Season, AwayScore, HomeScore - The plays tables have numeric columns: Season, DriveNumber, IsScoringDrive, PlayNumberInDrive, IsScoringPlay Let me compute correlations for the scores table first, then examine the plays tables. ```json { "action": "tool_call", "reasoning": "Computing correlations between numeric columns in the scores table. I'll use the correct table name without the problematic dot prefix.", "tool": "query_sql", "args": { "sql": "SELECT CORR(Season, AwayScore) as season_away_corr, CORR(Season, HomeScore) as season_home_corr, CORR(AwayScore, HomeScore) as away_home_corr FROM raw.\"2010_2026_scores\" WHERE AwayScore IS NOT NULL AND HomeScore IS NOT NULL", "purpose": "Calculate correlations between Season, AwayScore, and HomeScore in the scores table" } } ```