# Partial Analysis: Most Common Values in Categorical Columns Based on the evidence gathered before reaching the step limit, here are the findings for categorical columns with their most common values and frequencies: ## Confirmed Data ### batches table - **tenant_id**: - `default`: 304 occurrences - **status**: - `ready`: 153 occurrences - `completed`: 132 occurrences - `running`: 19 occurrences - **nettle_version**: - `1.0.0`: 153 occurrences - `expansion`: 151 occurrences ### llm_calls table - **model** (49,360 total rows): - `claude-sonnet-4-5`: 35,847 occurrences - `gemini-3.1-pro-preview`: 9,696 occurrences - `claude-haiku-4-5`: 1,412 occurrences - `accounts/fireworks/models/kimi-k2p6`: 1,237 occurrences - `accounts/fireworks/models/deepseek-v4-pro`: 986 occurrences - `gemini-3.1-flash-lite`: 178 occurrences - `gemini-3-flash-preview`: 4 occurrences ### analysis_runs table - **code_version**: All 116 rows contain empty/null values ## What Remains Uncertain The investigation was incomplete due to step limits. Many categorical columns identified in the schema were **not analyzed** for their value distributions, including: - Multiple columns in `job_logs`, `column_tags`, `tag_lineage_edges`, `tables_catalog`, `nia_messages`, and other tables - Columns like `purpose`, `provider`, `status`, `error_type` in various tables - Classification and taxonomy-related categorical fields The data shows these columns exist and have varying row counts (from thousands to over a million rows), but their specific value distributions were not retrieved before the limit was reached.