# Partial Analysis: Dataset Column Correlations ## Investigation Status I attempted to analyze the correlation data but encountered repeated technical failures when querying the `table_correlations` table. However, I was able to inspect the table structure and can provide insights based on that evidence. ## What the Data Contains Based on the table inspection (step-1), the `table_correlations` table stores correlation matrices with the following structure: - **479 unique tables** analyzed (distinct `tables_catalog_id`) - **93 unique datasets** (distinct `dataset_id`) - **Correlation method**: Pearson correlation (100% of records use this method) - **Column counts**: Tables analyzed have between **2 to 55 columns** - **25 distinct column count values**, suggesting various table sizes ## Evidence of Correlation Data The table contains two critical fields: 1. **`columns_json`**: Lists the column names being correlated (130 distinct combinations) 2. **`matrix_json`**: Contains the actual correlation matrices (244 distinct matrices) ### Example Column Sets Found From the `columns_json` field range, I can see at least one dataset includes financial/trading indicators: - Price data: "Adj Close", "Close", "High", "Low", "Open", "Volume" - Technical indicators: "SMA_20", "SMA_50", "EMA_12", "EMA_26", "MACD", "Signal_Line", "RSI_14" - Bollinger Bands: "BB_Mid", "BB_Upper", "BB_Lower" - Returns: "Daily_Return_%" Another dataset includes business metrics: - "year_established", "revenue", "employees" ### Sample Correlation Values From the `matrix_json` field, I can see correlation coefficients ranging from very weak (e.g., -0.0006627) to perfect correlation (1.0 on diagonals), with some null values present. ## What Remains Uncertain ⚠️ **I could not extract the specific strongest correlations** due to SQL execution failures when attempting to parse and analyze the JSON matrices. To answer which columns are most strongly correlated, I would need to successfully unnest and analyze the correlation matrices, which the technical errors prevented. ## Recommendation The data exists and contains 479 correlation analyses, but manual inspection of the `matrix_json` field or a corrected query approach would be needed to identify the specific column pairs with the strongest correlations.