I need to systematically analyze correlations across the dataset. I've already found weak correlations between Season and scores. Let me explore correlations among other numeric and categorical columns. {"action": "tool_call", "reasoning": "The plays tables contain many columns that could be correlated. I'll analyze numeric columns (Season, DriveNumber, PlayNumberInDrive, IsScoringDrive, IsScoringPlay) and key categorical breakdowns to find the strongest relationships. Starting with the largest plays table (2015_plays) to compute correlations among all numeric columns in one query.", "tool": "query_sql", "args": {"sql": "SELECT CORR(DriveNumber, PlayNumberInDrive) as drive_playnumber_corr, CORR(IsScoringDrive, IsScoringPlay) as scoringdrive_scoringplay_corr, CORR(DriveNumber, IsScoringDrive) as drive_scoring_corr, CORR(PlayNumberInDrive, IsScoringPlay) as playnumber_scoring_corr, CORR(Season, DriveNumber) as season_drive_corr FROM raw.\"2015_plays\"", "purpose": "Calculate correlations between numeric columns in plays data to identify strong relationships", "source": "raw"}}