| {"ts": 1780806987.217895, "model": "mock_planner", "n_rows": 16, "n_cols": 11, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 16,\n \"n_cols\": 11,\n \"n_exact_duplicate_rows\": 2,\n \"n_empty_rows\": 1,\n \"empty_columns\": [\n \"notes2\"\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"Alice Johnson\",\n \"Bob Smith\",\n \"Carol Diaz\",\n \"David Lee\",\n \"Eve Adams\",\n \"Frank Moore\",\n \"Grace Park\",\n \"Heidi Cruz\"\n ]\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"ALICE@EXAMPLE.COM\",\n \"bob@example.com\",\n \"carol@gmial.com\",\n \"david@example.com\",\n \"eve@example.com\",\n \"FRANK@example.com\",\n \"grace@example.com\",\n \"heidi@example.com\"\n ]\n },\n {\n \"name\": \"company\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"sample_values\": [\n \"Acme Inc\",\n \"acme inc\",\n \"Globex\",\n \"globex corp\",\n \"Initech\",\n \"initech\",\n \"Umbrella\",\n \"umbrella corp\"\n ]\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"sample_values\": [\n \"USA\",\n \"U.S.A.\",\n \"united states\",\n \"US\",\n \"Canada\",\n \"canada\",\n \"UK\",\n \"U.K.\"\n ]\n },\n {\n \"name\": \"signup_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"sample_values\": [\n \"2023-01-05\",\n \"01/06/2023\",\n \"07/01/2023\",\n \"5 Jan 2023\",\n \"44931\",\n \"2023-02-14\",\n \"14/02/2023\",\n \"2023-03-01\"\n ]\n },\n {\n \"name\": \"amount\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"currency\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"$1,200.50\",\n \"950\",\n \"1.200,50\",\n \"(500)\",\n \"2,300\",\n \"$3,000\",\n \"1,750.00\",\n \"4.500,00\"\n ]\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [],\n \"sample_values\": [\n \"(555) 123-4567\",\n \"555.234.5678\",\n \"+1 555 345 6789\",\n \"5553456789\",\n \"555-456-7890\",\n \"(555)567-8901\",\n \"+44 20 7946 0958\",\n \"020 7946 0958\"\n ]\n },\n {\n \"name\": \"status\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 1,\n \"n_unique\": 8,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Won\",\n \"won\",\n \"WON\",\n \"Lost\",\n \"lost\",\n \"In Progress\",\n \"in-progress\",\n \"in progress\"\n ]\n },\n {\n \"name\": \"is_active\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"boolean\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Yes\",\n \"Y\",\n \"TRUE\",\n \"1\",\n \"No\",\n \"N\",\n \"FALSE\",\n \"0\"\n ]\n },\n {\n \"name\": \"age\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"34\",\n \"41\",\n \"29\",\n \"52\",\n \"999\",\n \"38\",\n \"45\",\n \"33\"\n ]\n },\n {\n \"name\": \"notes2\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"empty\",\n \"n_missing\": 16,\n \"n_unique\": 0,\n \"issues\": [],\n \"sample_values\": []\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \" Alice Johnson\",\n \"email\": \"ALICE@EXAMPLE.COM \",\n \"company\": \"Acme Inc\",\n \"country\": \"USA\",\n \"signup_date\": \"2023-01-05\",\n \"amount\": \"$1,200.50\",\n \"phone\": \"(555) 123-4567\",\n \"status\": \"Won\",\n \"is_active\": \"Yes\",\n \"age\": \"34\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Bob Smith\",\n \"email\": \"bob@example.com\",\n \"company\": \"acme inc \",\n \"country\": \"U.S.A.\",\n \"signup_date\": \"01/06/2023\",\n \"amount\": \"950\",\n \"phone\": \"555.234.5678\",\n \"status\": \"won\",\n \"is_active\": \"Y\",\n \"age\": \"41\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Carol Diaz\",\n \"email\": \"carol@gmial.com\",\n \"company\": \"Globex\",\n \"country\": \"united states\",\n \"signup_date\": \"07/01/2023\",\n \"amount\": \"1.200,50\",\n \"phone\": \"+1 555 345 6789\",\n \"status\": \"WON\",\n \"is_active\": \"TRUE\",\n \"age\": \"29\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"David Lee\",\n \"email\": \" david@example.com\",\n \"company\": \"globex corp\",\n \"country\": \"US\",\n \"signup_date\": \"5 Jan 2023\",\n \"amount\": \"(500)\",\n \"phone\": \"5553456789\",\n \"status\": \"Lost\",\n \"is_active\": \"1\",\n \"age\": \"52\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Eve Adams\",\n \"email\": \"eve@example.com\",\n \"company\": \"Initech\",\n \"country\": \"Canada\",\n \"signup_date\": \"44931\",\n \"amount\": \"2,300\",\n \"phone\": \"555-456-7890\",\n \"status\": \"lost\",\n \"is_active\": \"No\",\n \"age\": \"999\",\n \"notes2\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).\",\n \"table_operations\": [\n {\n \"op\": \"drop_empty_rows\",\n \"rationale\": \"Removed 1 fully-empty row(s).\"\n },\n {\n \"op\": \"drop_empty_columns\",\n \"columns\": [\n \"notes2\"\n ],\n \"rationale\": \"Dropped column(s) with no data.\"\n },\n {\n \"op\": \"drop_exact_duplicates\",\n \"rationale\": \"Removed 2 exact duplicate row(s).\"\n }\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"company\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"USA\": \"United States\",\n \"U.S.A.\": \"United States\",\n \"united states\": \"United States\",\n \"US\": \"United States\",\n \"U.S.A\": \"United States\",\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"germany\": \"Germany\"\n },\n \"rationale\": \"Unified 9 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"signup_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"amount\",\n \"detected_semantic_type\": \"currency\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_currency\",\n \"rationale\": \"Stripped currency symbols/grouping; parsed to number.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Standardized phone formatting.\"\n }\n ]\n },\n {\n \"name\": \"is_active\",\n \"detected_semantic_type\": \"boolean\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_boolean\",\n \"rationale\": \"Mapped Yes/Y/1/TRUE → true, No/N/0/FALSE → false.\"\n }\n ]\n },\n {\n \"name\": \"age\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_number\",\n \"rationale\": \"Parsed numeric text to number.\"\n }\n ]\n }\n ],\n \"flags\": []\n}", "table_operations": ["drop_empty_rows", "drop_empty_columns", "drop_exact_duplicates"], "column_operations": [{"column": "name", "type": "text", "ops": ["strip_whitespace"]}, {"column": "email", "type": "email", "ops": ["strip_whitespace", "normalize_email"]}, {"column": "company", "type": "text", "ops": ["strip_whitespace"]}, {"column": "country", "type": "country", "ops": ["strip_whitespace", "canonicalize_categories"]}, {"column": "signup_date", "type": "date", "ops": ["parse_date"]}, {"column": "amount", "type": "currency", "ops": ["normalize_disguised_nulls", "parse_currency"]}, {"column": "phone", "type": "phone", "ops": ["standardize_phone"]}, {"column": "is_active", "type": "boolean", "ops": ["standardize_boolean"]}, {"column": "age", "type": "number", "ops": ["normalize_disguised_nulls", "parse_number"]}], "cells_changed": 85, "duration_ms": null} |
| {"ts": 1780806987.2328289, "model": "mock_planner", "n_rows": 16, "n_cols": 11, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 16,\n \"n_cols\": 11,\n \"n_exact_duplicate_rows\": 2,\n \"n_empty_rows\": 1,\n \"empty_columns\": [\n \"notes2\"\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"Alice Johnson\",\n \"Bob Smith\",\n \"Carol Diaz\",\n \"David Lee\",\n \"Eve Adams\",\n \"Frank Moore\",\n \"Grace Park\",\n \"Heidi Cruz\"\n ]\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"ALICE@EXAMPLE.COM\",\n \"bob@example.com\",\n \"carol@gmial.com\",\n \"david@example.com\",\n \"eve@example.com\",\n \"FRANK@example.com\",\n \"grace@example.com\",\n \"heidi@example.com\"\n ]\n },\n {\n \"name\": \"company\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"sample_values\": [\n \"Acme Inc\",\n \"acme inc\",\n \"Globex\",\n \"globex corp\",\n \"Initech\",\n \"initech\",\n \"Umbrella\",\n \"umbrella corp\"\n ]\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"sample_values\": [\n \"USA\",\n \"U.S.A.\",\n \"united states\",\n \"US\",\n \"Canada\",\n \"canada\",\n \"UK\",\n \"U.K.\"\n ]\n },\n {\n \"name\": \"signup_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"sample_values\": [\n \"2023-01-05\",\n \"01/06/2023\",\n \"07/01/2023\",\n \"5 Jan 2023\",\n \"44931\",\n \"2023-02-14\",\n \"14/02/2023\",\n \"2023-03-01\"\n ]\n },\n {\n \"name\": \"amount\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"currency\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"$1,200.50\",\n \"950\",\n \"1.200,50\",\n \"(500)\",\n \"2,300\",\n \"$3,000\",\n \"1,750.00\",\n \"4.500,00\"\n ]\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [],\n \"sample_values\": [\n \"(555) 123-4567\",\n \"555.234.5678\",\n \"+1 555 345 6789\",\n \"5553456789\",\n \"555-456-7890\",\n \"(555)567-8901\",\n \"+44 20 7946 0958\",\n \"020 7946 0958\"\n ]\n },\n {\n \"name\": \"status\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 1,\n \"n_unique\": 8,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Won\",\n \"won\",\n \"WON\",\n \"Lost\",\n \"lost\",\n \"In Progress\",\n \"in-progress\",\n \"in progress\"\n ]\n },\n {\n \"name\": \"is_active\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"boolean\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Yes\",\n \"Y\",\n \"TRUE\",\n \"1\",\n \"No\",\n \"N\",\n \"FALSE\",\n \"0\"\n ]\n },\n {\n \"name\": \"age\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"34\",\n \"41\",\n \"29\",\n \"52\",\n \"999\",\n \"38\",\n \"45\",\n \"33\"\n ]\n },\n {\n \"name\": \"notes2\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"empty\",\n \"n_missing\": 16,\n \"n_unique\": 0,\n \"issues\": [],\n \"sample_values\": []\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \" Alice Johnson\",\n \"email\": \"ALICE@EXAMPLE.COM \",\n \"company\": \"Acme Inc\",\n \"country\": \"USA\",\n \"signup_date\": \"2023-01-05\",\n \"amount\": \"$1,200.50\",\n \"phone\": \"(555) 123-4567\",\n \"status\": \"Won\",\n \"is_active\": \"Yes\",\n \"age\": \"34\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Bob Smith\",\n \"email\": \"bob@example.com\",\n \"company\": \"acme inc \",\n \"country\": \"U.S.A.\",\n \"signup_date\": \"01/06/2023\",\n \"amount\": \"950\",\n \"phone\": \"555.234.5678\",\n \"status\": \"won\",\n \"is_active\": \"Y\",\n \"age\": \"41\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Carol Diaz\",\n \"email\": \"carol@gmial.com\",\n \"company\": \"Globex\",\n \"country\": \"united states\",\n \"signup_date\": \"07/01/2023\",\n \"amount\": \"1.200,50\",\n \"phone\": \"+1 555 345 6789\",\n \"status\": \"WON\",\n \"is_active\": \"TRUE\",\n \"age\": \"29\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"David Lee\",\n \"email\": \" david@example.com\",\n \"company\": \"globex corp\",\n \"country\": \"US\",\n \"signup_date\": \"5 Jan 2023\",\n \"amount\": \"(500)\",\n \"phone\": \"5553456789\",\n \"status\": \"Lost\",\n \"is_active\": \"1\",\n \"age\": \"52\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Eve Adams\",\n \"email\": \"eve@example.com\",\n \"company\": \"Initech\",\n \"country\": \"Canada\",\n \"signup_date\": \"44931\",\n \"amount\": \"2,300\",\n \"phone\": \"555-456-7890\",\n \"status\": \"lost\",\n \"is_active\": \"No\",\n \"age\": \"999\",\n \"notes2\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).\",\n \"table_operations\": [\n {\n \"op\": \"drop_empty_rows\",\n \"rationale\": \"Removed 1 fully-empty row(s).\"\n },\n {\n \"op\": \"drop_empty_columns\",\n \"columns\": [\n \"notes2\"\n ],\n \"rationale\": \"Dropped column(s) with no data.\"\n },\n {\n \"op\": \"drop_exact_duplicates\",\n \"rationale\": \"Removed 2 exact duplicate row(s).\"\n }\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"company\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"USA\": \"United States\",\n \"U.S.A.\": \"United States\",\n \"united states\": \"United States\",\n \"US\": \"United States\",\n \"U.S.A\": \"United States\",\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"germany\": \"Germany\"\n },\n \"rationale\": \"Unified 9 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"signup_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"amount\",\n \"detected_semantic_type\": \"currency\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_currency\",\n \"rationale\": \"Stripped currency symbols/grouping; parsed to number.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Standardized phone formatting.\"\n }\n ]\n },\n {\n \"name\": \"is_active\",\n \"detected_semantic_type\": \"boolean\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_boolean\",\n \"rationale\": \"Mapped Yes/Y/1/TRUE → true, No/N/0/FALSE → false.\"\n }\n ]\n },\n {\n \"name\": \"age\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_number\",\n \"rationale\": \"Parsed numeric text to number.\"\n }\n ]\n }\n ],\n \"flags\": []\n}", "table_operations": ["drop_empty_rows", "drop_empty_columns", "drop_exact_duplicates"], "column_operations": [{"column": "name", "type": "text", "ops": ["strip_whitespace"]}, {"column": "email", "type": "email", "ops": ["strip_whitespace", "normalize_email"]}, {"column": "company", "type": "text", "ops": ["strip_whitespace"]}, {"column": "country", "type": "country", "ops": ["strip_whitespace", "canonicalize_categories"]}, {"column": "signup_date", "type": "date", "ops": ["parse_date"]}, {"column": "amount", "type": "currency", "ops": ["normalize_disguised_nulls", "parse_currency"]}, {"column": "phone", "type": "phone", "ops": ["standardize_phone"]}, {"column": "is_active", "type": "boolean", "ops": ["standardize_boolean"]}, {"column": "age", "type": "number", "ops": ["normalize_disguised_nulls", "parse_number"]}], "cells_changed": 85, "duration_ms": null} |
| {"ts": 1780812651.7447848, "model": "mock_planner", "n_rows": 16, "n_cols": 11, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 16,\n \"n_cols\": 11,\n \"n_exact_duplicate_rows\": 2,\n \"n_empty_rows\": 1,\n \"empty_columns\": [\n \"notes2\"\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"Alice Johnson\",\n \"Bob Smith\",\n \"Carol Diaz\",\n \"David Lee\",\n \"Eve Adams\",\n \"Frank Moore\",\n \"Grace Park\",\n \"Heidi Cruz\",\n \"Ivan Petrov\",\n \"Judy Wong\",\n \"Karl Brandt\",\n \"Lena Fischer\",\n \"Mona Ali\"\n ]\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"sample_values\": [\n \"ALICE@EXAMPLE.COM\",\n \"bob@example.com\",\n \"carol@gmial.com\",\n \"david@example.com\",\n \"eve@example.com\",\n \"FRANK@example.com\",\n \"grace@example.com\",\n \"heidi@example.com\",\n \"IVAN@EXAMPLE.COM\",\n \"judy@example.com\",\n \"karl@example.com\",\n \"lena@example.com\",\n \"mona@example.com\"\n ]\n },\n {\n \"name\": \"company\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"sample_values\": [\n \"Acme Inc\",\n \"acme inc\",\n \"Globex\",\n \"globex corp\",\n \"Initech\",\n \"initech\",\n \"Umbrella\",\n \"umbrella corp\",\n \"“Soylent”\",\n \"Soylent Corp\",\n \"Hooli\",\n \"hooli inc\",\n \"Vehement\"\n ]\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"sample_values\": [\n \"USA\",\n \"U.S.A.\",\n \"united states\",\n \"US\",\n \"Canada\",\n \"canada\",\n \"UK\",\n \"U.K.\",\n \"Germany\",\n \"germany\",\n \"United States\",\n \"U.S.A\"\n ]\n },\n {\n \"name\": \"signup_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"sample_values\": [\n \"2023-01-05\",\n \"01/06/2023\",\n \"07/01/2023\",\n \"5 Jan 2023\",\n \"44931\",\n \"2023-02-14\",\n \"14/02/2023\",\n \"2023-03-01\",\n \"03/02/2023\",\n \"2 Mar 2023\",\n \"2023-04-10\",\n \"10/04/2023\",\n \"2023-05-22\"\n ]\n },\n {\n \"name\": \"amount\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"currency\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"$1,200.50\",\n \"950\",\n \"1.200,50\",\n \"(500)\",\n \"2,300\",\n \"$3,000\",\n \"1,750.00\",\n \"4.500,00\",\n \"2200\",\n \"$5,400.00\",\n \"6,000\"\n ]\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"sample_values\": [\n \"(555) 123-4567\",\n \"555.234.5678\",\n \"+1 555 345 6789\",\n \"5553456789\",\n \"555-456-7890\",\n \"(555)567-8901\",\n \"+44 20 7946 0958\",\n \"020 7946 0958\",\n \"555 678 9012\",\n \"(555) 789-0123\",\n \"+1 (555) 890-1234\",\n \"555.901.2345\",\n \"5559012345\"\n ]\n },\n {\n \"name\": \"status\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 1,\n \"n_unique\": 8,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Won\",\n \"won\",\n \"WON\",\n \"Lost\",\n \"lost\",\n \"In Progress\",\n \"in-progress\",\n \"in progress\"\n ]\n },\n {\n \"name\": \"is_active\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"boolean\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"casing\"\n ],\n \"sample_values\": [\n \"Yes\",\n \"Y\",\n \"TRUE\",\n \"1\",\n \"No\",\n \"N\",\n \"FALSE\",\n \"0\",\n \"yes\",\n \"no\",\n \"T\",\n \"F\"\n ]\n },\n {\n \"name\": \"age\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"sample_values\": [\n \"34\",\n \"41\",\n \"29\",\n \"52\",\n \"999\",\n \"38\",\n \"45\",\n \"33\",\n \"47\",\n \"31\",\n \"39\"\n ]\n },\n {\n \"name\": \"notes2\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"empty\",\n \"n_missing\": 16,\n \"n_unique\": 0,\n \"issues\": [],\n \"sample_values\": []\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \" Alice Johnson\",\n \"email\": \"ALICE@EXAMPLE.COM \",\n \"company\": \"Acme Inc\",\n \"country\": \"USA\",\n \"signup_date\": \"2023-01-05\",\n \"amount\": \"$1,200.50\",\n \"phone\": \"(555) 123-4567\",\n \"status\": \"Won\",\n \"is_active\": \"Yes\",\n \"age\": \"34\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Bob Smith\",\n \"email\": \"bob@example.com\",\n \"company\": \"acme inc \",\n \"country\": \"U.S.A.\",\n \"signup_date\": \"01/06/2023\",\n \"amount\": \"950\",\n \"phone\": \"555.234.5678\",\n \"status\": \"won\",\n \"is_active\": \"Y\",\n \"age\": \"41\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Carol Diaz\",\n \"email\": \"carol@gmial.com\",\n \"company\": \"Globex\",\n \"country\": \"united states\",\n \"signup_date\": \"07/01/2023\",\n \"amount\": \"1.200,50\",\n \"phone\": \"+1 555 345 6789\",\n \"status\": \"WON\",\n \"is_active\": \"TRUE\",\n \"age\": \"29\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"David Lee\",\n \"email\": \" david@example.com\",\n \"company\": \"globex corp\",\n \"country\": \"US\",\n \"signup_date\": \"5 Jan 2023\",\n \"amount\": \"(500)\",\n \"phone\": \"5553456789\",\n \"status\": \"Lost\",\n \"is_active\": \"1\",\n \"age\": \"52\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Eve Adams\",\n \"email\": \"eve@example.com\",\n \"company\": \"Initech\",\n \"country\": \"Canada\",\n \"signup_date\": \"44931\",\n \"amount\": \"2,300\",\n \"phone\": \"555-456-7890\",\n \"status\": \"lost\",\n \"is_active\": \"No\",\n \"age\": \"999\",\n \"notes2\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"16 rows × 11 columns. Detected 9 column(s) needing cleanup and 3 table-level fix(es).\",\n \"table_operations\": [\n {\n \"op\": \"drop_empty_rows\",\n \"rationale\": \"Removed 1 fully-empty row(s).\"\n },\n {\n \"op\": \"drop_empty_columns\",\n \"columns\": [\n \"notes2\"\n ],\n \"rationale\": \"Dropped column(s) with no data.\"\n },\n {\n \"op\": \"drop_exact_duplicates\",\n \"rationale\": \"Removed 2 exact duplicate row(s).\"\n }\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"company\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"USA\": \"United States\",\n \"U.S.A.\": \"United States\",\n \"united states\": \"United States\",\n \"US\": \"United States\",\n \"U.S.A\": \"United States\",\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"germany\": \"Germany\"\n },\n \"rationale\": \"Unified 9 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"signup_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"amount\",\n \"detected_semantic_type\": \"currency\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_currency\",\n \"rationale\": \"Stripped currency symbols/grouping; parsed to number.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"is_active\",\n \"detected_semantic_type\": \"boolean\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_boolean\",\n \"rationale\": \"Mapped Yes/Y/1/TRUE → true, No/N/0/FALSE → false.\"\n }\n ]\n },\n {\n \"name\": \"age\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_number\",\n \"rationale\": \"Parsed numeric text to number.\"\n }\n ]\n }\n ],\n \"flags\": []\n}", "table_operations": ["drop_empty_rows", "drop_empty_columns", "drop_exact_duplicates"], "column_operations": [{"column": "name", "type": "text", "ops": ["strip_whitespace"]}, {"column": "email", "type": "email", "ops": ["strip_whitespace", "normalize_email"]}, {"column": "company", "type": "text", "ops": ["strip_whitespace"]}, {"column": "country", "type": "country", "ops": ["strip_whitespace", "canonicalize_categories"]}, {"column": "signup_date", "type": "date", "ops": ["parse_date"]}, {"column": "amount", "type": "currency", "ops": ["normalize_disguised_nulls", "parse_currency"]}, {"column": "phone", "type": "phone", "ops": ["standardize_phone"]}, {"column": "is_active", "type": "boolean", "ops": ["standardize_boolean"]}, {"column": "age", "type": "number", "ops": ["normalize_disguised_nulls", "parse_number"]}], "cells_changed": 85, "duration_ms": null} |
| {"ts": 1780878258.7919528, "model": "mock_planner", "n_rows": 16, "n_cols": 11, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 16,\n \"n_cols\": 11,\n \"n_exact_duplicate_rows\": 2,\n \"n_empty_rows\": 1,\n \"empty_columns\": [\n \"notes2\"\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"value_counts\": [\n [\n \"Alice Johnson\",\n 3\n ],\n [\n \"Bob Smith\",\n 1\n ],\n [\n \"Carol Diaz\",\n 1\n ],\n [\n \"David Lee\",\n 1\n ],\n [\n \"Eve Adams\",\n 1\n ],\n [\n \"Frank Moore\",\n 1\n ],\n [\n \"Grace Park\",\n 1\n ],\n [\n \"Heidi Cruz\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"value_counts\": [\n [\n \"ALICE@EXAMPLE.COM\",\n 3\n ],\n [\n \"bob@example.com\",\n 1\n ],\n [\n \"carol@gmial.com\",\n 1\n ],\n [\n \"david@example.com\",\n 1\n ],\n [\n \"eve@example.com\",\n 1\n ],\n [\n \"FRANK@example.com\",\n 1\n ],\n [\n \"grace@example.com\",\n 1\n ],\n [\n \"heidi@example.com\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"company\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Acme Inc\",\n 3\n ],\n [\n \"acme inc\",\n 1\n ],\n [\n \"Globex\",\n 1\n ],\n [\n \"globex corp\",\n 1\n ],\n [\n \"Initech\",\n 1\n ],\n [\n \"initech\",\n 1\n ],\n [\n \"Umbrella\",\n 1\n ],\n [\n \"umbrella corp\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"value_counts\": [\n [\n \"USA\",\n 4\n ],\n [\n \"U.S.A.\",\n 1\n ],\n [\n \"united states\",\n 1\n ],\n [\n \"US\",\n 1\n ],\n [\n \"Canada\",\n 1\n ],\n [\n \"canada\",\n 1\n ],\n [\n \"UK\",\n 1\n ],\n [\n \"U.K.\",\n 1\n ],\n [\n \"Germany\",\n 1\n ],\n [\n \"germany\",\n 1\n ],\n [\n \"United States\",\n 1\n ],\n [\n \"U.S.A\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"signup_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"value_counts\": [\n [\n \"2023-01-05\",\n 3\n ],\n [\n \"01/06/2023\",\n 1\n ],\n [\n \"07/01/2023\",\n 1\n ],\n [\n \"5 Jan 2023\",\n 1\n ],\n [\n \"44931\",\n 1\n ],\n [\n \"2023-02-14\",\n 1\n ],\n [\n \"14/02/2023\",\n 1\n ],\n [\n \"2023-03-01\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"amount\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"currency\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"value_counts\": [\n [\n \"$1,200.50\",\n 3\n ],\n [\n \"950\",\n 1\n ],\n [\n \"1.200,50\",\n 1\n ],\n [\n \"(500)\",\n 1\n ],\n [\n \"2,300\",\n 1\n ],\n [\n \"$3,000\",\n 1\n ],\n [\n \"1,750.00\",\n 1\n ],\n [\n \"4.500,00\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"value_counts\": [\n [\n \"(555) 123-4567\",\n 3\n ],\n [\n \"555.234.5678\",\n 1\n ],\n [\n \"+1 555 345 6789\",\n 1\n ],\n [\n \"5553456789\",\n 1\n ],\n [\n \"555-456-7890\",\n 1\n ],\n [\n \"(555)567-8901\",\n 1\n ],\n [\n \"+44 20 7946 0958\",\n 1\n ],\n [\n \"020 7946 0958\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"status\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 1,\n \"n_unique\": 8,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Won\",\n 6\n ],\n [\n \"WON\",\n 2\n ],\n [\n \"Lost\",\n 2\n ],\n [\n \"won\",\n 1\n ],\n [\n \"lost\",\n 1\n ],\n [\n \"In Progress\",\n 1\n ],\n [\n \"in-progress\",\n 1\n ],\n [\n \"in progress\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"is_active\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"boolean\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Yes\",\n 3\n ],\n [\n \"TRUE\",\n 2\n ],\n [\n \"Y\",\n 1\n ],\n [\n \"1\",\n 1\n ],\n [\n \"No\",\n 1\n ],\n [\n \"N\",\n 1\n ],\n [\n \"FALSE\",\n 1\n ],\n [\n \"0\",\n 1\n ],\n [\n \"yes\",\n 1\n ],\n [\n \"no\",\n 1\n ],\n [\n \"T\",\n 1\n ],\n [\n \"F\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"age\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"value_counts\": [\n [\n \"34\",\n 3\n ],\n [\n \"41\",\n 1\n ],\n [\n \"29\",\n 1\n ],\n [\n \"52\",\n 1\n ],\n [\n \"999\",\n 1\n ],\n [\n \"38\",\n 1\n ],\n [\n \"45\",\n 1\n ],\n [\n \"33\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"notes2\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"empty\",\n \"n_missing\": 16,\n \"n_unique\": 0,\n \"issues\": [],\n \"value_counts\": [],\n \"more_distinct_values\": 0\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \" Alice Johnson\",\n \"email\": \"ALICE@EXAMPLE.COM \",\n \"company\": \"Acme Inc\",\n \"country\": \"USA\",\n \"signup_date\": \"2023-01-05\",\n \"amount\": \"$1,200.50\",\n \"phone\": \"(555) 123-4567\",\n \"status\": \"Won\",\n \"is_active\": \"Yes\",\n \"age\": \"34\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Bob Smith\",\n \"email\": \"bob@example.com\",\n \"company\": \"acme inc \",\n \"country\": \"U.S.A.\",\n \"signup_date\": \"01/06/2023\",\n \"amount\": \"950\",\n \"phone\": \"555.234.5678\",\n \"status\": \"won\",\n \"is_active\": \"Y\",\n \"age\": \"41\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Carol Diaz\",\n \"email\": \"carol@gmial.com\",\n \"company\": \"Globex\",\n \"country\": \"united states\",\n \"signup_date\": \"07/01/2023\",\n \"amount\": \"1.200,50\",\n \"phone\": \"+1 555 345 6789\",\n \"status\": \"WON\",\n \"is_active\": \"TRUE\",\n \"age\": \"29\",\n \"notes2\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"16 rows × 11 columns. Detected 10 column(s) needing cleanup and 3 table-level fix(es).\",\n \"table_operations\": [\n {\n \"op\": \"drop_empty_rows\",\n \"rationale\": \"Removed 1 fully-empty row(s).\"\n },\n {\n \"op\": \"drop_empty_columns\",\n \"columns\": [\n \"notes2\"\n ],\n \"rationale\": \"Dropped column(s) with no data.\"\n },\n {\n \"op\": \"drop_exact_duplicates\",\n \"rationale\": \"Removed 2 exact duplicate row(s).\"\n }\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"company\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"USA\": \"United States\",\n \"U.S.A.\": \"United States\",\n \"united states\": \"United States\",\n \"US\": \"United States\",\n \"U.S.A\": \"United States\",\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"germany\": \"Germany\"\n },\n \"rationale\": \"Unified 9 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"signup_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"amount\",\n \"detected_semantic_type\": \"currency\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_currency\",\n \"rationale\": \"Stripped currency symbols/grouping; parsed to number.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"status\",\n \"detected_semantic_type\": \"categorical\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"won\": \"Won\",\n \"WON\": \"Won\",\n \"lost\": \"Lost\",\n \"in progress\": \"In Progress\",\n \"in-progress\": \"In Progress\"\n },\n \"rationale\": \"Unified 5 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"is_active\",\n \"detected_semantic_type\": \"boolean\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_boolean\",\n \"rationale\": \"Mapped Yes/Y/1/TRUE → true, No/N/0/FALSE → false.\"\n }\n ]\n },\n {\n \"name\": \"age\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_number\",\n \"rationale\": \"Parsed numeric text to number.\"\n }\n ]\n }\n ],\n \"flags\": []\n}", "table_operations": ["drop_empty_rows", "drop_empty_columns", "drop_exact_duplicates"], "column_operations": [{"column": "name", "type": "text", "ops": ["strip_whitespace"]}, {"column": "email", "type": "email", "ops": ["strip_whitespace", "normalize_email"]}, {"column": "company", "type": "text", "ops": ["strip_whitespace"]}, {"column": "country", "type": "country", "ops": ["strip_whitespace", "canonicalize_categories"]}, {"column": "signup_date", "type": "date", "ops": ["parse_date"]}, {"column": "amount", "type": "currency", "ops": ["normalize_disguised_nulls", "parse_currency"]}, {"column": "phone", "type": "phone", "ops": ["standardize_phone"]}, {"column": "status", "type": "categorical", "ops": ["canonicalize_categories"]}, {"column": "is_active", "type": "boolean", "ops": ["standardize_boolean"]}, {"column": "age", "type": "number", "ops": ["normalize_disguised_nulls", "parse_number"]}], "cells_changed": 91, "duration_ms": null} |
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[\n \"U.S.A\",\n 1\n ],\n [\n \"UK\",\n 1\n ],\n [\n \"Mexico\",\n 1\n ],\n [\n \"Germny\",\n 1\n ],\n [\n \"Germany\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"start_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 43,\n \"n_unique\": 6,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"value_counts\": [\n [\n \"Apr-2023\",\n 6\n ],\n [\n \"04/13/2023\",\n 5\n ],\n [\n \"13 Apr 2023\",\n 2\n ],\n [\n \"2023-04-14\",\n 2\n ],\n [\n \"04/16/23\",\n 1\n ],\n [\n \"2023-04-12\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \"aisha.smith95@corpmail.com\",\n \"email\": \"555-954-2679\",\n \"phone\": \"858-79-2424\",\n \"ssn\": \"4960013389083869\",\n \"card_on_file\": \"$101\",\n \"salary\": \"559\",\n \"department\": \"Marketing\",\n \"country\": \"canada\",\n \"start_date\": \"13 Apr 2023\"\n },\n {\n \"name\": \"carlos.novak98@corpmail.com\",\n \"email\": \"555.294.7224\",\n \"phone\": \"718-43-1711\",\n \"ssn\": \"4781618495931038\",\n \"card_on_file\": \"104000\",\n \"salary\": \"HR\",\n \"department\": \"UK\",\n \"country\": \"04/16/23\",\n \"start_date\": \"\"\n },\n {\n \"name\": \"chen.khan48@corpmail.com\",\n \"email\": \"555-918-2169\",\n \"phone\": \"750-31-9751\",\n \"ssn\": \"4327648350305649\",\n \"card_on_file\": \"$99k\",\n \"salary\": \"Mktg\",\n \"department\": \"Mexico\",\n \"country\": \"04/16/23\",\n \"start_date\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).\",\n \"table_operations\": [],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"email\",\n \"rationale\": \"Column contains email values (100% of distinct values).\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"phone\",\n \"rationale\": \"Column contains phone values (100% of distinct values).\"\n },\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Column contains ssn values (100% of distinct values).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Protected ssn column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"ssn\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Column contains credit_card values (100% of distinct values, checksum-confirmed).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Protected credit_card column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"department\",\n \"detected_semantic_type\": \"categorical\",\n \"issues\": [\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"UK\": \"Uk\",\n \"Engineering\": \"Engineer\",\n \"Ops\": \"Opsa\",\n \"U.S.A\": \"Usa\",\n \"U.K.\": \"Uk\",\n \"usa\": \"Usa\",\n \"canada\": \"Canada\",\n \"engineering\": \"Engineer\",\n \"USA\": \"Usa\",\n \"Germny\": \"Germigny\"\n },\n \"rationale\": \"Reconciled 10 value(s) to the city reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"casing\",\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"start_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n }\n ],\n \"flags\": [\n {\n \"column\": \"department\",\n \"issue\": \"uncertain_canonicalization\",\n \"values\": [\n \"Marketing\",\n \"Germany\",\n \"HR\"\n ],\n \"action\": \"left_for_review\",\n \"rationale\": \"3 city value(s) look like typos but did not confidently match the reference — left unchanged for review.\"\n }\n ]\n}", "table_operations": [], "column_operations": [{"column": "name", "type": "email", "ops": ["flag_pii", "normalize_email"]}, {"column": "email", "type": "phone", "ops": ["flag_pii", "standardize_phone"]}, {"column": "phone", "type": "phone", "ops": ["flag_pii", "mask_pii"]}, {"column": "ssn", "type": "number", "ops": ["flag_pii", "mask_pii"]}, {"column": "department", "type": "categorical", "ops": ["canonicalize_categories"]}, {"column": "country", "type": "date", "ops": ["parse_date"]}, {"column": "start_date", "type": "date", "ops": ["parse_date"]}], "cells_changed": 293, "duration_ms": null} |
| {"ts": 1781061242.289263, "model": "mock_planner", "n_rows": 60, "n_cols": 9, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 60,\n \"n_cols\": 9,\n \"n_exact_duplicate_rows\": 0,\n \"n_empty_rows\": 0,\n \"empty_columns\": [],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 0,\n \"n_unique\": 53,\n \"issues\": [],\n \"value_counts\": [\n [\n \"Carlos Novak\",\n 2\n ],\n [\n \"Chen Khan\",\n 2\n ],\n [\n \"Elena Garcia\",\n 2\n ],\n [\n \"Sofia Patel\",\n 2\n ],\n [\n \"Aisha Wong\",\n 2\n ],\n [\n \"Carlos Moore\",\n 2\n ],\n [\n \"Ana Garcia\",\n 2\n ],\n [\n \"Aisha Smith\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"aisha.smith95@corpmail.com\",\n 1\n ],\n [\n \"carlos.novak98@corpmail.com\",\n 1\n ],\n [\n \"chen.khan48@corpmail.com\",\n 1\n ],\n [\n \"ana.rossi34@corpmail.com\",\n 1\n ],\n [\n \"elena.wong15@corpmail.com\",\n 1\n ],\n [\n \"wei.kim94@corpmail.com\",\n 1\n ],\n [\n \"omar.smith10@corpmail.com\",\n 1\n ],\n [\n \"aisha.garcia52@corpmail.com\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"value_counts\": [\n [\n \"555-954-2679\",\n 1\n ],\n [\n \"555.294.7224\",\n 1\n ],\n [\n \"555-918-2169\",\n 1\n ],\n [\n \"555-469-8019\",\n 1\n ],\n [\n \"555-203-5315\",\n 1\n ],\n [\n \"(555) 697-2133\",\n 1\n ],\n [\n \"(555) 924-1964\",\n 1\n ],\n [\n \"555-396-4116\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"ssn\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"858-79-2424\",\n 1\n ],\n [\n \"718-43-1711\",\n 1\n ],\n [\n \"750-31-9751\",\n 1\n ],\n [\n \"508-56-4593\",\n 1\n ],\n [\n \"880-32-9317\",\n 1\n ],\n [\n \"775-70-3705\",\n 1\n ],\n [\n \"626-40-5562\",\n 1\n ],\n [\n \"559-27-7912\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"card_on_file\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"4960013389083869\",\n 1\n ],\n [\n \"4781618495931038\",\n 1\n ],\n [\n \"4327648350305649\",\n 1\n ],\n [\n \"4287101226916692\",\n 1\n ],\n [\n \"4148932528809576\",\n 1\n ],\n [\n \"4489638346578718\",\n 1\n ],\n [\n \"4738299737631167\",\n 1\n ],\n [\n \"4247317810801327\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"salary\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 0,\n \"n_unique\": 58,\n \"issues\": [],\n \"value_counts\": [\n [\n \"$164k\",\n 2\n ],\n [\n \"$78k\",\n 2\n ],\n [\n \"$101,559\",\n 1\n ],\n [\n \"104000\",\n 1\n ],\n [\n \"$99k\",\n 1\n ],\n [\n \"$47k\",\n 1\n ],\n [\n \"$49,214\",\n 1\n ],\n [\n \"$108,330\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"department\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 0,\n \"n_unique\": 10,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Marketing\",\n 9\n ],\n [\n \"HR\",\n 9\n ],\n [\n \"Mktg\",\n 8\n ],\n [\n \"Engineering\",\n 8\n ],\n [\n \"engineering\",\n 6\n ],\n [\n \"Eng\",\n 5\n ],\n [\n \"Sales\",\n 5\n ],\n [\n \"Human Resources\",\n 4\n ],\n [\n \"Ops\",\n 3\n ],\n [\n \"Operations\",\n 3\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 0,\n \"n_unique\": 11,\n \"issues\": [\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"value_counts\": [\n [\n \"Germany\",\n 8\n ],\n [\n \"U.S.A\",\n 8\n ],\n [\n \"Canada\",\n 8\n ],\n [\n \"U.K.\",\n 7\n ],\n [\n \"canada\",\n 6\n ],\n [\n \"Mexico\",\n 6\n ],\n [\n \"United States\",\n 6\n ],\n [\n \"usa\",\n 4\n ],\n [\n \"UK\",\n 3\n ],\n [\n \"Germny\",\n 3\n ],\n [\n \"USA\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"start_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 0,\n \"n_unique\": 6,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"value_counts\": [\n [\n \"Apr-2023\",\n 13\n ],\n [\n \"04/16/23\",\n 11\n ],\n [\n \"13 Apr 2023\",\n 10\n ],\n [\n \"2023-04-14\",\n 10\n ],\n [\n \"04/13/2023\",\n 9\n ],\n [\n \"2023-04-12\",\n 7\n ]\n ],\n \"more_distinct_values\": 0\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \"Aisha Smith\",\n \"email\": \"aisha.smith95@corpmail.com\",\n \"phone\": \"555-954-2679\",\n \"ssn\": \"858-79-2424\",\n \"card_on_file\": \"4960013389083869\",\n \"salary\": \"$101,559\",\n \"department\": \"Marketing\",\n \"country\": \"canada\",\n \"start_date\": \"13 Apr 2023\"\n },\n {\n \"name\": \"Carlos Novak\",\n \"email\": \"carlos.novak98@corpmail.com\",\n \"phone\": \"555.294.7224\",\n \"ssn\": \"718-43-1711\",\n \"card_on_file\": \"4781618495931038\",\n \"salary\": \"104000\",\n \"department\": \"HR\",\n \"country\": \"UK\",\n \"start_date\": \"04/16/23\"\n },\n {\n \"name\": \"Chen Khan\",\n \"email\": \"chen.khan48@corpmail.com\",\n \"phone\": \"555-918-2169\",\n \"ssn\": \"750-31-9751\",\n \"card_on_file\": \"4327648350305649\",\n \"salary\": \"$99k\",\n \"department\": \"Mktg\",\n \"country\": \"Mexico\",\n \"start_date\": \"04/16/23\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).\",\n \"table_operations\": [],\n \"columns\": [\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"email\",\n \"rationale\": \"Column contains email values (100% of distinct values).\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"phone\",\n \"rationale\": \"Column contains phone values (100% of distinct values).\"\n },\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"ssn\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Column contains ssn values (100% of distinct values).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Protected ssn column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"card_on_file\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Column contains credit_card values (100% of distinct values, checksum-confirmed).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Protected credit_card column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"department\",\n \"detected_semantic_type\": \"categorical\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"Eng\": \"Engi\",\n \"Engineering\": \"Engineer\",\n \"Ops\": \"Opsa\",\n \"engineering\": \"Engineer\"\n },\n \"rationale\": \"Reconciled 4 value(s) to the city reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"U.S.A\": \"United States\",\n \"usa\": \"United States\",\n \"USA\": \"United States\",\n \"Germny\": \"Germany\"\n },\n \"rationale\": \"Reconciled 7 value(s) to the country reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"start_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n }\n ],\n \"flags\": [\n {\n \"column\": \"department\",\n \"issue\": \"uncertain_canonicalization\",\n \"values\": [\n \"Marketing\",\n \"HR\",\n \"Operations\"\n ],\n \"action\": \"left_for_review\",\n \"rationale\": \"3 city value(s) look like typos but did not confidently match the reference — left unchanged for review.\"\n }\n ]\n}", "table_operations": [], "column_operations": [{"column": "email", "type": "email", "ops": ["flag_pii", "normalize_email"]}, {"column": "phone", "type": "phone", "ops": ["flag_pii", "standardize_phone"]}, {"column": "ssn", "type": "phone", "ops": ["flag_pii", "mask_pii"]}, {"column": "card_on_file", "type": "number", "ops": ["flag_pii", "mask_pii"]}, {"column": "department", "type": "categorical", "ops": ["canonicalize_categories"]}, {"column": "country", "type": "country", "ops": ["canonicalize_categories"]}, {"column": "start_date", "type": "date", "ops": ["parse_date"]}], "cells_changed": 256, "duration_ms": null} |
| {"ts": 1781061354.609229, "model": "mock_planner", "n_rows": 60, "n_cols": 9, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 60,\n \"n_cols\": 9,\n \"n_exact_duplicate_rows\": 0,\n \"n_empty_rows\": 0,\n \"empty_columns\": [],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 0,\n \"n_unique\": 53,\n \"issues\": [],\n \"value_counts\": [\n [\n \"Carlos Novak\",\n 2\n ],\n [\n \"Chen Khan\",\n 2\n ],\n [\n \"Elena Garcia\",\n 2\n ],\n [\n \"Sofia Patel\",\n 2\n ],\n [\n \"Aisha Wong\",\n 2\n ],\n [\n \"Carlos Moore\",\n 2\n ],\n [\n \"Ana Garcia\",\n 2\n ],\n [\n \"Aisha Smith\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"aisha.smith95@corpmail.com\",\n 1\n ],\n [\n \"carlos.novak98@corpmail.com\",\n 1\n ],\n [\n \"chen.khan48@corpmail.com\",\n 1\n ],\n [\n \"ana.rossi34@corpmail.com\",\n 1\n ],\n [\n \"elena.wong15@corpmail.com\",\n 1\n ],\n [\n \"wei.kim94@corpmail.com\",\n 1\n ],\n [\n \"omar.smith10@corpmail.com\",\n 1\n ],\n [\n \"aisha.garcia52@corpmail.com\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"value_counts\": [\n [\n \"555-954-2679\",\n 1\n ],\n [\n \"555.294.7224\",\n 1\n ],\n [\n \"555-918-2169\",\n 1\n ],\n [\n \"555-469-8019\",\n 1\n ],\n [\n \"555-203-5315\",\n 1\n ],\n [\n \"(555) 697-2133\",\n 1\n ],\n [\n \"(555) 924-1964\",\n 1\n ],\n [\n \"555-396-4116\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"ssn\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"858-79-2424\",\n 1\n ],\n [\n \"718-43-1711\",\n 1\n ],\n [\n \"750-31-9751\",\n 1\n ],\n [\n \"508-56-4593\",\n 1\n ],\n [\n \"880-32-9317\",\n 1\n ],\n [\n \"775-70-3705\",\n 1\n ],\n [\n \"626-40-5562\",\n 1\n ],\n [\n \"559-27-7912\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"card_on_file\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 0,\n \"n_unique\": 60,\n \"issues\": [],\n \"value_counts\": [\n [\n \"4960013389083869\",\n 1\n ],\n [\n \"4781618495931038\",\n 1\n ],\n [\n \"4327648350305649\",\n 1\n ],\n [\n \"4287101226916692\",\n 1\n ],\n [\n \"4148932528809576\",\n 1\n ],\n [\n \"4489638346578718\",\n 1\n ],\n [\n \"4738299737631167\",\n 1\n ],\n [\n \"4247317810801327\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"salary\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 0,\n \"n_unique\": 58,\n \"issues\": [],\n \"value_counts\": [\n [\n \"$164k\",\n 2\n ],\n [\n \"$78k\",\n 2\n ],\n [\n \"$101,559\",\n 1\n ],\n [\n \"104000\",\n 1\n ],\n [\n \"$99k\",\n 1\n ],\n [\n \"$47k\",\n 1\n ],\n [\n \"$49,214\",\n 1\n ],\n [\n \"$108,330\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"department\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 0,\n \"n_unique\": 10,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Marketing\",\n 9\n ],\n [\n \"HR\",\n 9\n ],\n [\n \"Mktg\",\n 8\n ],\n [\n \"Engineering\",\n 8\n ],\n [\n \"engineering\",\n 6\n ],\n [\n \"Eng\",\n 5\n ],\n [\n \"Sales\",\n 5\n ],\n [\n \"Human Resources\",\n 4\n ],\n [\n \"Ops\",\n 3\n ],\n [\n \"Operations\",\n 3\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 0,\n \"n_unique\": 11,\n \"issues\": [\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"value_counts\": [\n [\n \"Germany\",\n 8\n ],\n [\n \"U.S.A\",\n 8\n ],\n [\n \"Canada\",\n 8\n ],\n [\n \"U.K.\",\n 7\n ],\n [\n \"canada\",\n 6\n ],\n [\n \"Mexico\",\n 6\n ],\n [\n \"United States\",\n 6\n ],\n [\n \"usa\",\n 4\n ],\n [\n \"UK\",\n 3\n ],\n [\n \"Germny\",\n 3\n ],\n [\n \"USA\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"start_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 0,\n \"n_unique\": 6,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"value_counts\": [\n [\n \"Apr-2023\",\n 13\n ],\n [\n \"04/16/23\",\n 11\n ],\n [\n \"13 Apr 2023\",\n 10\n ],\n [\n \"2023-04-14\",\n 10\n ],\n [\n \"04/13/2023\",\n 9\n ],\n [\n \"2023-04-12\",\n 7\n ]\n ],\n \"more_distinct_values\": 0\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \"Aisha Smith\",\n \"email\": \"aisha.smith95@corpmail.com\",\n \"phone\": \"555-954-2679\",\n \"ssn\": \"858-79-2424\",\n \"card_on_file\": \"4960013389083869\",\n \"salary\": \"$101,559\",\n \"department\": \"Marketing\",\n \"country\": \"canada\",\n \"start_date\": \"13 Apr 2023\"\n },\n {\n \"name\": \"Carlos Novak\",\n \"email\": \"carlos.novak98@corpmail.com\",\n \"phone\": \"555.294.7224\",\n \"ssn\": \"718-43-1711\",\n \"card_on_file\": \"4781618495931038\",\n \"salary\": \"104000\",\n \"department\": \"HR\",\n \"country\": \"UK\",\n \"start_date\": \"04/16/23\"\n },\n {\n \"name\": \"Chen Khan\",\n \"email\": \"chen.khan48@corpmail.com\",\n \"phone\": \"555-918-2169\",\n \"ssn\": \"750-31-9751\",\n \"card_on_file\": \"4327648350305649\",\n \"salary\": \"$99k\",\n \"department\": \"Mktg\",\n \"country\": \"Mexico\",\n \"start_date\": \"04/16/23\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"60 rows × 9 columns. Detected 7 column(s) needing cleanup and 0 table-level fix(es).\",\n \"table_operations\": [],\n \"columns\": [\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"email\",\n \"rationale\": \"Column contains email values (100% of distinct values).\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"phone\",\n \"rationale\": \"Column contains phone values (100% of distinct values).\"\n },\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"ssn\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Column contains ssn values (100% of distinct values).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"ssn\",\n \"rationale\": \"Protected ssn column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"card_on_file\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Column contains credit_card values (100% of distinct values, checksum-confirmed).\"\n },\n {\n \"op\": \"mask_pii\",\n \"pii_type\": \"credit_card\",\n \"rationale\": \"Protected credit_card column (mask); original is untouched.\"\n }\n ]\n },\n {\n \"name\": \"department\",\n \"detected_semantic_type\": \"categorical\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"Eng\": \"Engi\",\n \"Engineering\": \"Engineer\",\n \"Ops\": \"Opsa\",\n \"engineering\": \"Engineer\"\n },\n \"rationale\": \"Reconciled 4 value(s) to the city reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"canada\": \"Canada\",\n \"UK\": \"United Kingdom\",\n \"U.K.\": \"United Kingdom\",\n \"U.S.A\": \"United States\",\n \"usa\": \"United States\",\n \"USA\": \"United States\",\n \"Germny\": \"Germany\"\n },\n \"rationale\": \"Reconciled 7 value(s) to the country reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"start_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n }\n ],\n \"flags\": [\n {\n \"column\": \"department\",\n \"issue\": \"uncertain_canonicalization\",\n \"values\": [\n \"Marketing\",\n \"HR\",\n \"Operations\"\n ],\n \"action\": \"left_for_review\",\n \"rationale\": \"3 city value(s) look like typos but did not confidently match the reference — left unchanged for review.\"\n }\n ]\n}", "table_operations": [], "column_operations": [{"column": "email", "type": "email", "ops": ["flag_pii", "normalize_email"]}, {"column": "phone", "type": "phone", "ops": ["flag_pii", "standardize_phone"]}, {"column": "ssn", "type": "phone", "ops": ["flag_pii", "mask_pii"]}, {"column": "card_on_file", "type": "number", "ops": ["flag_pii", "mask_pii"]}, {"column": "department", "type": "categorical", "ops": ["canonicalize_categories"]}, {"column": "country", "type": "country", "ops": ["canonicalize_categories"]}, {"column": "start_date", "type": "date", "ops": ["parse_date"]}], "cells_changed": 256, "duration_ms": null} |
| {"ts": 1781061358.857036, "model": "mock_planner", "n_rows": 16, "n_cols": 11, "agent_input": "PROFILE AND SAMPLE:\n{\n \"profile\": {\n \"n_rows\": 16,\n \"n_cols\": 11,\n \"n_exact_duplicate_rows\": 2,\n \"n_empty_rows\": 1,\n \"empty_columns\": [\n \"notes2\"\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"value_counts\": [\n [\n \"Alice Johnson\",\n 3\n ],\n [\n \"Bob Smith\",\n 1\n ],\n [\n \"Carol Diaz\",\n 1\n ],\n [\n \"David Lee\",\n 1\n ],\n [\n \"Eve Adams\",\n 1\n ],\n [\n \"Frank Moore\",\n 1\n ],\n [\n \"Grace Park\",\n 1\n ],\n [\n \"Heidi Cruz\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"email\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"email\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\"\n ],\n \"value_counts\": [\n [\n \"ALICE@EXAMPLE.COM\",\n 3\n ],\n [\n \"bob@example.com\",\n 1\n ],\n [\n \"carol@gmial.com\",\n 1\n ],\n [\n \"david@example.com\",\n 1\n ],\n [\n \"eve@example.com\",\n 1\n ],\n [\n \"FRANK@example.com\",\n 1\n ],\n [\n \"grace@example.com\",\n 1\n ],\n [\n \"heidi@example.com\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"company\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"text\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Acme Inc\",\n 3\n ],\n [\n \"acme inc\",\n 1\n ],\n [\n \"Globex\",\n 1\n ],\n [\n \"globex corp\",\n 1\n ],\n [\n \"Initech\",\n 1\n ],\n [\n \"initech\",\n 1\n ],\n [\n \"Umbrella\",\n 1\n ],\n [\n \"umbrella corp\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"country\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"country\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"value_counts\": [\n [\n \"USA\",\n 4\n ],\n [\n \"U.S.A.\",\n 1\n ],\n [\n \"united states\",\n 1\n ],\n [\n \"US\",\n 1\n ],\n [\n \"Canada\",\n 1\n ],\n [\n \"canada\",\n 1\n ],\n [\n \"UK\",\n 1\n ],\n [\n \"U.K.\",\n 1\n ],\n [\n \"Germany\",\n 1\n ],\n [\n \"germany\",\n 1\n ],\n [\n \"United States\",\n 1\n ],\n [\n \"U.S.A\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"signup_date\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"date\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"value_counts\": [\n [\n \"2023-01-05\",\n 3\n ],\n [\n \"01/06/2023\",\n 1\n ],\n [\n \"07/01/2023\",\n 1\n ],\n [\n \"5 Jan 2023\",\n 1\n ],\n [\n \"44931\",\n 1\n ],\n [\n \"2023-02-14\",\n 1\n ],\n [\n \"14/02/2023\",\n 1\n ],\n [\n \"2023-03-01\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"amount\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"currency\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"value_counts\": [\n [\n \"$1,200.50\",\n 3\n ],\n [\n \"950\",\n 1\n ],\n [\n \"1.200,50\",\n 1\n ],\n [\n \"(500)\",\n 1\n ],\n [\n \"2,300\",\n 1\n ],\n [\n \"$3,000\",\n 1\n ],\n [\n \"1,750.00\",\n 1\n ],\n [\n \"4.500,00\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"phone\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"phone\",\n \"n_missing\": 1,\n \"n_unique\": 13,\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"value_counts\": [\n [\n \"(555) 123-4567\",\n 3\n ],\n [\n \"555.234.5678\",\n 1\n ],\n [\n \"+1 555 345 6789\",\n 1\n ],\n [\n \"5553456789\",\n 1\n ],\n [\n \"555-456-7890\",\n 1\n ],\n [\n \"(555)567-8901\",\n 1\n ],\n [\n \"+44 20 7946 0958\",\n 1\n ],\n [\n \"020 7946 0958\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"status\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"categorical\",\n \"n_missing\": 1,\n \"n_unique\": 8,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Won\",\n 6\n ],\n [\n \"WON\",\n 2\n ],\n [\n \"Lost\",\n 2\n ],\n [\n \"won\",\n 1\n ],\n [\n \"lost\",\n 1\n ],\n [\n \"In Progress\",\n 1\n ],\n [\n \"in-progress\",\n 1\n ],\n [\n \"in progress\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"is_active\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"boolean\",\n \"n_missing\": 1,\n \"n_unique\": 12,\n \"issues\": [\n \"casing\"\n ],\n \"value_counts\": [\n [\n \"Yes\",\n 3\n ],\n [\n \"TRUE\",\n 2\n ],\n [\n \"Y\",\n 1\n ],\n [\n \"1\",\n 1\n ],\n [\n \"No\",\n 1\n ],\n [\n \"N\",\n 1\n ],\n [\n \"FALSE\",\n 1\n ],\n [\n \"0\",\n 1\n ],\n [\n \"yes\",\n 1\n ],\n [\n \"no\",\n 1\n ],\n [\n \"T\",\n 1\n ],\n [\n \"F\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"age\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"number\",\n \"n_missing\": 3,\n \"n_unique\": 11,\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"value_counts\": [\n [\n \"34\",\n 3\n ],\n [\n \"41\",\n 1\n ],\n [\n \"29\",\n 1\n ],\n [\n \"52\",\n 1\n ],\n [\n \"999\",\n 1\n ],\n [\n \"38\",\n 1\n ],\n [\n \"45\",\n 1\n ],\n [\n \"33\",\n 1\n ]\n ],\n \"more_distinct_values\": 0\n },\n {\n \"name\": \"notes2\",\n \"pandas_dtype\": \"str\",\n \"detected_semantic_type\": \"empty\",\n \"n_missing\": 16,\n \"n_unique\": 0,\n \"issues\": [],\n \"value_counts\": [],\n \"more_distinct_values\": 0\n }\n ]\n },\n \"sample_rows\": [\n {\n \"name\": \" Alice Johnson\",\n \"email\": \"ALICE@EXAMPLE.COM \",\n \"company\": \"Acme Inc\",\n \"country\": \"USA\",\n \"signup_date\": \"2023-01-05\",\n \"amount\": \"$1,200.50\",\n \"phone\": \"(555) 123-4567\",\n \"status\": \"Won\",\n \"is_active\": \"Yes\",\n \"age\": \"34\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Bob Smith\",\n \"email\": \"bob@example.com\",\n \"company\": \"acme inc \",\n \"country\": \"U.S.A.\",\n \"signup_date\": \"01/06/2023\",\n \"amount\": \"950\",\n \"phone\": \"555.234.5678\",\n \"status\": \"won\",\n \"is_active\": \"Y\",\n \"age\": \"41\",\n \"notes2\": \"\"\n },\n {\n \"name\": \"Carol Diaz\",\n \"email\": \"carol@gmial.com\",\n \"company\": \"Globex\",\n \"country\": \"united states\",\n \"signup_date\": \"07/01/2023\",\n \"amount\": \"1.200,50\",\n \"phone\": \"+1 555 345 6789\",\n \"status\": \"WON\",\n \"is_active\": \"TRUE\",\n \"age\": \"29\",\n \"notes2\": \"\"\n }\n ]\n}\n\nReturn the JSON cleaning plan.", "agent_output_plan": "{\n \"dataset_summary\": \"16 rows × 11 columns. Detected 10 column(s) needing cleanup and 3 table-level fix(es).\",\n \"table_operations\": [\n {\n \"op\": \"drop_empty_rows\",\n \"rationale\": \"Removed 1 fully-empty row(s).\"\n },\n {\n \"op\": \"drop_empty_columns\",\n \"columns\": [\n \"notes2\"\n ],\n \"rationale\": \"Dropped column(s) with no data.\"\n },\n {\n \"op\": \"drop_exact_duplicates\",\n \"rationale\": \"Removed 2 exact duplicate row(s).\"\n }\n ],\n \"columns\": [\n {\n \"name\": \"name\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"email\",\n \"detected_semantic_type\": \"email\",\n \"issues\": [\n \"whitespace\"\n ],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"email\",\n \"rationale\": \"Column contains email values (100% of distinct values).\"\n },\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"normalize_email\",\n \"rationale\": \"Lowercased and trimmed email addresses.\"\n }\n ]\n },\n {\n \"name\": \"company\",\n \"detected_semantic_type\": \"text\",\n \"issues\": [\n \"whitespace\",\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n }\n ]\n },\n {\n \"name\": \"country\",\n \"detected_semantic_type\": \"country\",\n \"issues\": [\n \"whitespace\",\n \"casing\",\n \"inconsistent_categories\"\n ],\n \"operations\": [\n {\n \"op\": \"strip_whitespace\",\n \"rationale\": \"Trimmed leading/trailing and doubled spaces.\"\n },\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"USA\": \"UNITED STATES\",\n \"U.S.A.\": \"UNITED STATES\",\n \"united states\": \"UNITED STATES\",\n \"US\": \"UNITED STATES\",\n \"Canada\": \"CANADA\",\n \"canada\": \"CANADA\",\n \"UK\": \"UNITED KINGDOM\",\n \"U.K.\": \"UNITED KINGDOM\",\n \"Germany\": \"GERMANY\",\n \"germany\": \"GERMANY\",\n \"United States\": \"UNITED STATES\",\n \"U.S.A\": \"UNITED STATES\"\n },\n \"rationale\": \"Reconciled 12 value(s) to the country reference taxonomy.\"\n }\n ]\n },\n {\n \"name\": \"signup_date\",\n \"detected_semantic_type\": \"date\",\n \"issues\": [\n \"mixed_date_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"parse_date\",\n \"rationale\": \"Unified mixed date formats to ISO YYYY-MM-DD.\"\n }\n ]\n },\n {\n \"name\": \"amount\",\n \"detected_semantic_type\": \"currency\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_currency\",\n \"rationale\": \"Stripped currency symbols/grouping; parsed to number.\"\n }\n ]\n },\n {\n \"name\": \"phone\",\n \"detected_semantic_type\": \"phone\",\n \"issues\": [\n \"inconsistent_formats\"\n ],\n \"operations\": [\n {\n \"op\": \"flag_pii\",\n \"pii_type\": \"phone\",\n \"rationale\": \"Column contains phone values (100% of distinct values).\"\n },\n {\n \"op\": \"standardize_phone\",\n \"rationale\": \"Unified inconsistent phone formats.\"\n }\n ]\n },\n {\n \"name\": \"status\",\n \"detected_semantic_type\": \"categorical\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"canonicalize_categories\",\n \"mapping\": {\n \"won\": \"Won\",\n \"WON\": \"Won\",\n \"lost\": \"Lost\",\n \"in progress\": \"In Progress\",\n \"in-progress\": \"In Progress\"\n },\n \"rationale\": \"Unified 5 inconsistent spellings into canonical labels.\"\n }\n ]\n },\n {\n \"name\": \"is_active\",\n \"detected_semantic_type\": \"boolean\",\n \"issues\": [\n \"casing\"\n ],\n \"operations\": [\n {\n \"op\": \"standardize_boolean\",\n \"rationale\": \"Mapped Yes/Y/1/TRUE → true, No/N/0/FALSE → false.\"\n }\n ]\n },\n {\n \"name\": \"age\",\n \"detected_semantic_type\": \"number\",\n \"issues\": [\n \"disguised_nulls\"\n ],\n \"operations\": [\n {\n \"op\": \"normalize_disguised_nulls\",\n \"rationale\": \"Converted N/A, '-', 'null' etc. to true missing.\"\n },\n {\n \"op\": \"parse_number\",\n \"rationale\": \"Parsed numeric text to number.\"\n }\n ]\n }\n ],\n \"flags\": []\n}", "table_operations": ["drop_empty_rows", "drop_empty_columns", "drop_exact_duplicates"], "column_operations": [{"column": "name", "type": "text", "ops": ["strip_whitespace"]}, {"column": "email", "type": "email", "ops": ["flag_pii", "strip_whitespace", "normalize_email"]}, {"column": "company", "type": "text", "ops": ["strip_whitespace"]}, {"column": "country", "type": "country", "ops": ["strip_whitespace", "canonicalize_categories"]}, {"column": "signup_date", "type": "date", "ops": ["parse_date"]}, {"column": "amount", "type": "currency", "ops": ["normalize_disguised_nulls", "parse_currency"]}, {"column": "phone", "type": "phone", "ops": ["flag_pii", "standardize_phone"]}, {"column": "status", "type": "categorical", "ops": ["canonicalize_categories"]}, {"column": "is_active", "type": "boolean", "ops": ["standardize_boolean"]}, {"column": "age", "type": "number", "ops": ["normalize_disguised_nulls", "parse_number"]}], "cells_changed": 94, "duration_ms": null} |
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