retail-star-answer-key / reports /engine_report.json
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Retail star schema v1
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{
"engine": "misata_engine (Misata Studio)",
"engine_commit": "24649abbce5fb439a79f388e827562d798f71488 with uncommitted engine changes, source digest e88cd0793a53941e",
"seed": 20261030,
"scale": 1.0,
"seconds": 530.9,
"passed": true,
"lint": [
"order_lines.unit_price: copy_from products.list_price@product_id reads a worked-out column, not yet there when this is drawn; make unit_price a formula: \"products.list_price@product_id + normal(0, ...)\""
],
"planned": [
"orders: 1,199,998 rows, the months claim orders_by_month states, straight between them and level beyond (the design made 1,200,000)"
],
"notes": [
"orders: 1,199,998 rows, the months claim orders_by_month states, straight between them and level beyond (the design made 1,200,000)"
],
"findings": [],
"certificate": {
"engine_version": "0.1.0",
"run_id": "d7fd6e427f34",
"route": "blueprint",
"blueprint_hash": "8bfaa303ab6c67acf1c09fe81fe35ca185a47c19dac3941b7124bc8ada9e467a",
"seed": 20261030,
"passed": true,
"claims": [
{
"id": "orders_by_month",
"kind": "count",
"target": "orders.order_id",
"text": null,
"source": "prompt",
"met": true,
"stated": "42 monthly row counts",
"actual": "42 of 42 exact",
"rows": [
{
"period": "2023-01",
"stated": 20015,
"actual": 20015
},
{
"period": "2023-02",
"stated": 17835,
"actual": 17835
},
{
"period": "2023-03",
"stated": 22483,
"actual": 22483
},
{
"period": "2023-04",
"stated": 22191,
"actual": 22191
},
{
"period": "2023-05",
"stated": 23620,
"actual": 23620
},
{
"period": "2023-06",
"stated": 22844,
"actual": 22844
},
{
"period": "2023-07",
"stated": 24071,
"actual": 24071
},
{
"period": "2023-08",
"stated": 24785,
"actual": 24785
},
{
"period": "2023-09",
"stated": 23026,
"actual": 23026
},
{
"period": "2023-10",
"stated": 25505,
"actual": 25505
},
{
"period": "2023-11",
"stated": 37738,
"actual": 37738
},
{
"period": "2023-12",
"stated": 38357,
"actual": 38357
},
{
"period": "2024-01",
"stated": 22417,
"actual": 22417
},
{
"period": "2024-02",
"stated": 20689,
"actual": 20689
},
{
"period": "2024-03",
"stated": 25181,
"actual": 25181
},
{
"period": "2024-04",
"stated": 24853,
"actual": 24853
},
{
"period": "2024-05",
"stated": 26455,
"actual": 26455
},
{
"period": "2024-06",
"stated": 25586,
"actual": 25586
},
{
"period": "2024-07",
"stated": 26959,
"actual": 26959
},
{
"period": "2024-08",
"stated": 27759,
"actual": 27759
},
{
"period": "2024-09",
"stated": 25789,
"actual": 25789
},
{
"period": "2024-10",
"stated": 28566,
"actual": 28566
},
{
"period": "2024-11",
"stated": 42266,
"actual": 42266
},
{
"period": "2024-12",
"stated": 42959,
"actual": 42959
},
{
"period": "2025-01",
"stated": 25107,
"actual": 25107
},
{
"period": "2025-02",
"stated": 22372,
"actual": 22372
},
{
"period": "2025-03",
"stated": 28203,
"actual": 28203
},
{
"period": "2025-04",
"stated": 26999,
"actual": 26999
},
{
"period": "2025-05",
"stated": 28739,
"actual": 28739
},
{
"period": "2025-06",
"stated": 27795,
"actual": 27795
},
{
"period": "2025-07",
"stated": 30194,
"actual": 30194
},
{
"period": "2025-08",
"stated": 31090,
"actual": 31090
},
{
"period": "2025-09",
"stated": 28884,
"actual": 28884
},
{
"period": "2025-10",
"stated": 31994,
"actual": 31994
},
{
"period": "2025-11",
"stated": 47338,
"actual": 47338
},
{
"period": "2025-12",
"stated": 48114,
"actual": 48114
}
]
},
{
"id": "apparel_return_rate",
"kind": "cohort",
"target": "returns.returned_qty",
"text": null,
"source": "prompt",
"met": true,
"stated": "returned qty over 39 monthly rates of order lines quantity, by the month of order date",
"actual": "39 of 39 months exact to the unit (2023-01 to 2026-03)",
"rows": [
{
"period": "2023-04",
"stated": 0.18,
"actual": 0.180026,
"units": 1954,
"of": 10854
},
{
"period": "2023-05",
"stated": 0.18,
"actual": 0.180015,
"units": 2106,
"of": 11699
},
{
"period": "2023-06",
"stated": 0.18,
"actual": 0.179982,
"units": 2005,
"of": 11140
},
{
"period": "2023-07",
"stated": 0.18,
"actual": 0.180002,
"units": 2018,
"of": 11211
},
{
"period": "2023-08",
"stated": 0.18,
"actual": 0.179992,
"units": 2303,
"of": 12795
},
{
"period": "2023-09",
"stated": 0.18,
"actual": 0.180038,
"units": 2078,
"of": 11542
},
{
"period": "2023-10",
"stated": 0.18,
"actual": 0.180039,
"units": 2300,
"of": 12775
},
{
"period": "2023-11",
"stated": 0.18,
"actual": 0.180026,
"units": 3160,
"of": 17553
},
{
"period": "2023-12",
"stated": 0.18,
"actual": 0.179975,
"units": 3248,
"of": 18047
},
{
"period": "2024-01",
"stated": 0.18,
"actual": 0.179973,
"units": 1711,
"of": 9507
},
{
"period": "2024-02",
"stated": 0.18,
"actual": 0.179949,
"units": 1707,
"of": 9486
},
{
"period": "2024-03",
"stated": 0.18,
"actual": 0.180003,
"units": 2389,
"of": 13272
},
{
"period": "2024-04",
"stated": 0.18,
"actual": 0.18,
"units": 2313,
"of": 12850
},
{
"period": "2024-05",
"stated": 0.18,
"actual": 0.179969,
"units": 2336,
"of": 12980
},
{
"period": "2024-06",
"stated": 0.18,
"actual": 0.180029,
"units": 2232,
"of": 12398
},
{
"period": "2024-07",
"stated": 0.18,
"actual": 0.180011,
"units": 2354,
"of": 13077
},
{
"period": "2024-08",
"stated": 0.18,
"actual": 0.179992,
"units": 2598,
"of": 14434
},
{
"period": "2024-09",
"stated": 0.18,
"actual": 0.180038,
"units": 2354,
"of": 13075
},
{
"period": "2024-10",
"stated": 0.18,
"actual": 0.180011,
"units": 2671,
"of": 14838
},
{
"period": "2024-11",
"stated": 0.18,
"actual": 0.180007,
"units": 3551,
"of": 19727
},
{
"period": "2024-12",
"stated": 0.18,
"actual": 0.179986,
"units": 3635,
"of": 20196
},
{
"period": "2025-01",
"stated": 0.18,
"actual": 0.180033,
"units": 1843,
"of": 10237
},
{
"period": "2025-02",
"stated": 0.18,
"actual": 0.179994,
"units": 1920,
"of": 10667
},
{
"period": "2025-03",
"stated": 0.18,
"actual": 0.179999,
"units": 2635,
"of": 14639
},
{
"period": "2025-04",
"stated": 0.18,
"actual": 0.180029,
"units": 2524,
"of": 14020
},
{
"period": "2025-05",
"stated": 0.18,
"actual": 0.180016,
"units": 2488,
"of": 13821
},
{
"period": "2025-06",
"stated": 0.18,
"actual": 0.180021,
"units": 2404,
"of": 13354
},
{
"period": "2025-07",
"stated": 0.18,
"actual": 0.179989,
"units": 2540,
"of": 14112
},
{
"period": "2025-08",
"stated": 0.18,
"actual": 0.180005,
"units": 2825,
"of": 15694
},
{
"period": "2025-09",
"stated": 0.18,
"actual": 0.180004,
"units": 2688,
"of": 14933
},
{
"period": "2025-10",
"stated": 0.18,
"actual": 0.180016,
"units": 2960,
"of": 16443
},
{
"period": "2025-11",
"stated": 0.18,
"actual": 0.180006,
"units": 3792,
"of": 21066
},
{
"period": "2025-12",
"stated": 0.18,
"actual": 0.180004,
"units": 4078,
"of": 22655
},
{
"period": "2026-01",
"stated": 0.18,
"actual": 0.180034,
"units": 2119,
"of": 11770
},
{
"period": "2026-02",
"stated": 0.18,
"actual": 0.180037,
"units": 2114,
"of": 11742
},
{
"period": "2026-03",
"stated": 0.18,
"actual": 0.179978,
"units": 2970,
"of": 16502
}
]
}
],
"invariants": [],
"rules": {
"declared": 4,
"held": 2,
"broken": [],
"unmeasured": [
{
"kind": "fk_distinct",
"table": "products",
"column": "_variant_id",
"rule": "products rows sharing _brand_id point to different variants",
"rows": 1500,
"broken": 0,
"holds": false,
"measured": false,
"why": "could not be read (KeyError)"
},
{
"kind": "only_when",
"table": "orders",
"column": "customer_id",
"rule": "orders.customer_id is filled only when _guest == 0",
"rows": 1199998,
"broken": 0,
"holds": false,
"measured": false,
"why": "could not be read (ExpressionError)"
}
]
},
"findings": {
"critical": 0,
"major": 0,
"minor": 0,
"load": 0
},
"open_findings": [],
"audit": {
"score": 100.0,
"checked": false,
"reviewed": false,
"found": 0,
"fixed": 0
},
"tables": {
"stores": {
"rows": 41,
"digest": "e8138d4a243847be"
},
"products": {
"rows": 1500,
"digest": "2c6a75ff172b5f50"
},
"customers": {
"rows": 150000,
"digest": "34640675ab6f9a99"
},
"orders": {
"rows": 1199998,
"digest": "7cd2c0f6f5a5a7a0"
},
"order_lines": {
"rows": 3023975,
"digest": "37c5580ee2f2abc6"
},
"returns": {
"rows": 221756,
"digest": "7e9ca922085a8b4f"
}
},
"answer_key": [
{
"id": "orders_by_month",
"title": "Order_id by month",
"kind": "count",
"unit": "count",
"grain": "month",
"sql": "WITH months AS (SELECT m FROM generate_series(TIMESTAMP '2023-01-01', TIMESTAMP '2026-06-01', INTERVAL 1 MONTH) AS g(m)), x AS (SELECT date_trunc('month', \"order_date\") AS m, count(*) AS v FROM \"orders\" WHERE \"order_date\" IS NOT NULL GROUP BY 1) SELECT strftime(months.m, '%Y-%m') AS month, coalesce(v, 0) AS n FROM months LEFT JOIN x USING (m) ORDER BY month",
"column": "n",
"values": {
"2023-01": 20015.0,
"2023-02": 17835.0,
"2023-03": 22483.0,
"2023-04": 22191.0,
"2023-05": 23620.0,
"2023-06": 22844.0,
"2023-07": 24071.0,
"2023-08": 24785.0,
"2023-09": 23026.0,
"2023-10": 25505.0,
"2023-11": 37738.0,
"2023-12": 38357.0,
"2024-01": 22417.0,
"2024-02": 20689.0,
"2024-03": 25181.0,
"2024-04": 24853.0,
"2024-05": 26455.0,
"2024-06": 25586.0,
"2024-07": 26959.0,
"2024-08": 27759.0,
"2024-09": 25789.0,
"2024-10": 28566.0,
"2024-11": 42266.0,
"2024-12": 42959.0,
"2025-01": 25107.0,
"2025-02": 22372.0,
"2025-03": 28203.0,
"2025-04": 26999.0,
"2025-05": 28739.0,
"2025-06": 27795.0,
"2025-07": 30194.0,
"2025-08": 31090.0,
"2025-09": 28884.0,
"2025-10": 31994.0,
"2025-11": 47338.0,
"2025-12": 48114.0,
"2026-01": 28120.0,
"2026-02": 25057.0,
"2026-03": 31587.0,
"2026-04": 31176.0,
"2026-05": 33185.0,
"2026-06": 32095.0
},
"stated": {
"2023-01": 20015,
"2023-02": 17835,
"2023-03": 22483,
"2023-04": 22191,
"2023-05": 23620,
"2023-06": 22844,
"2023-07": 24071,
"2023-08": 24785,
"2023-09": 23026,
"2023-10": 25505,
"2023-11": 37738,
"2023-12": 38357,
"2024-01": 22417,
"2024-02": 20689,
"2024-03": 25181,
"2024-04": 24853,
"2024-05": 26455,
"2024-06": 25586,
"2024-07": 26959,
"2024-08": 27759,
"2024-09": 25789,
"2024-10": 28566,
"2024-11": 42266,
"2024-12": 42959,
"2025-01": 25107,
"2025-02": 22372,
"2025-03": 28203,
"2025-04": 26999,
"2025-05": 28739,
"2025-06": 27795,
"2025-07": 30194,
"2025-08": 31090,
"2025-09": 28884,
"2025-10": 31994,
"2025-11": 47338,
"2025-12": 48114,
"2026-01": 28120,
"2026-02": 25057,
"2026-03": 31587,
"2026-04": 31176,
"2026-05": 33185,
"2026-06": 32095
},
"source": "prompt",
"text": null,
"adds_up": true
},
{
"id": "apparel_return_rate",
"title": "Returned_qty over order lines quantity, by month",
"kind": "cohort",
"unit": "fraction",
"grain": "month",
"sql": "SELECT strftime(\"order_lines\".\"order_date\", '%Y-%m') AS month, round(coalesce(sum(\"returns\".\"returned_qty\"), 0) * 1.0 / sum(\"order_lines\".\"quantity\"), 6) AS rate, coalesce(sum(\"returns\".\"returned_qty\"), 0) AS units, sum(\"order_lines\".\"quantity\") AS of_units FROM \"order_lines\" JOIN \"products\" ON \"products\".\"product_id\" = \"order_lines\".\"product_id\" LEFT JOIN \"returns\" ON \"returns\".\"order_line_id\" = \"order_lines\".\"order_line_id\" WHERE strftime(\"order_lines\".\"order_date\", '%Y-%m') IN ('2023-01', '2023-02', '2023-03', '2023-04', '2023-05', '2023-06', '2023-07', '2023-08', '2023-09', '2023-10', '2023-11', '2023-12', '2024-01', '2024-02', '2024-03', '2024-04', '2024-05', '2024-06', '2024-07', '2024-08', '2024-09', '2024-10', '2024-11', '2024-12', '2025-01', '2025-02', '2025-03', '2025-04', '2025-05', '2025-06', '2025-07', '2025-08', '2025-09', '2025-10', '2025-11', '2025-12', '2026-01', '2026-02', '2026-03') AND \"products\".\"category\" IN ('Apparel') GROUP BY 1 ORDER BY 1",
"column": "rate",
"values": {
"2023-01": 0.180049,
"2023-02": 0.179979,
"2023-03": 0.18,
"2023-04": 0.180026,
"2023-05": 0.180015,
"2023-06": 0.179982,
"2023-07": 0.180002,
"2023-08": 0.179992,
"2023-09": 0.180038,
"2023-10": 0.180039,
"2023-11": 0.180026,
"2023-12": 0.179975,
"2024-01": 0.179973,
"2024-02": 0.179949,
"2024-03": 0.180003,
"2024-04": 0.18,
"2024-05": 0.179969,
"2024-06": 0.180029,
"2024-07": 0.180011,
"2024-08": 0.179992,
"2024-09": 0.180038,
"2024-10": 0.180011,
"2024-11": 0.180007,
"2024-12": 0.179986,
"2025-01": 0.180033,
"2025-02": 0.179994,
"2025-03": 0.179999,
"2025-04": 0.180029,
"2025-05": 0.180016,
"2025-06": 0.180021,
"2025-07": 0.179989,
"2025-08": 0.180005,
"2025-09": 0.180004,
"2025-10": 0.180016,
"2025-11": 0.180006,
"2025-12": 0.180004,
"2026-01": 0.180034,
"2026-02": 0.180037,
"2026-03": 0.179978
},
"stated": {
"2023-01": 0.180049,
"2023-02": 0.179979,
"2023-03": 0.18,
"2023-04": 0.180026,
"2023-05": 0.180015,
"2023-06": 0.179982,
"2023-07": 0.180002,
"2023-08": 0.179992,
"2023-09": 0.180038,
"2023-10": 0.180039,
"2023-11": 0.180026,
"2023-12": 0.179975,
"2024-01": 0.179973,
"2024-02": 0.179949,
"2024-03": 0.180003,
"2024-04": 0.18,
"2024-05": 0.179969,
"2024-06": 0.180029,
"2024-07": 0.180011,
"2024-08": 0.179992,
"2024-09": 0.180038,
"2024-10": 0.180011,
"2024-11": 0.180007,
"2024-12": 0.179986,
"2025-01": 0.180033,
"2025-02": 0.179994,
"2025-03": 0.179999,
"2025-04": 0.180029,
"2025-05": 0.180016,
"2025-06": 0.180021,
"2025-07": 0.179989,
"2025-08": 0.180005,
"2025-09": 0.180004,
"2025-10": 0.180016,
"2025-11": 0.180006,
"2025-12": 0.180004,
"2026-01": 0.180034,
"2026-02": 0.180037,
"2026-03": 0.179978
},
"source": "prompt",
"text": null,
"adds_up": false,
"parts": {
"units": {
"2023-01": 1480.0,
"2023-02": 1530.0,
"2023-03": 2052.0,
"2023-04": 1954.0,
"2023-05": 2106.0,
"2023-06": 2005.0,
"2023-07": 2018.0,
"2023-08": 2303.0,
"2023-09": 2078.0,
"2023-10": 2300.0,
"2023-11": 3160.0,
"2023-12": 3248.0,
"2024-01": 1711.0,
"2024-02": 1707.0,
"2024-03": 2389.0,
"2024-04": 2313.0,
"2024-05": 2336.0,
"2024-06": 2232.0,
"2024-07": 2354.0,
"2024-08": 2598.0,
"2024-09": 2354.0,
"2024-10": 2671.0,
"2024-11": 3551.0,
"2024-12": 3635.0,
"2025-01": 1843.0,
"2025-02": 1920.0,
"2025-03": 2635.0,
"2025-04": 2524.0,
"2025-05": 2488.0,
"2025-06": 2404.0,
"2025-07": 2540.0,
"2025-08": 2825.0,
"2025-09": 2688.0,
"2025-10": 2960.0,
"2025-11": 3792.0,
"2025-12": 4078.0,
"2026-01": 2119.0,
"2026-02": 2114.0,
"2026-03": 2970.0
},
"of_units": {
"2023-01": 8220.0,
"2023-02": 8501.0,
"2023-03": 11400.0,
"2023-04": 10854.0,
"2023-05": 11699.0,
"2023-06": 11140.0,
"2023-07": 11211.0,
"2023-08": 12795.0,
"2023-09": 11542.0,
"2023-10": 12775.0,
"2023-11": 17553.0,
"2023-12": 18047.0,
"2024-01": 9507.0,
"2024-02": 9486.0,
"2024-03": 13272.0,
"2024-04": 12850.0,
"2024-05": 12980.0,
"2024-06": 12398.0,
"2024-07": 13077.0,
"2024-08": 14434.0,
"2024-09": 13075.0,
"2024-10": 14838.0,
"2024-11": 19727.0,
"2024-12": 20196.0,
"2025-01": 10237.0,
"2025-02": 10667.0,
"2025-03": 14639.0,
"2025-04": 14020.0,
"2025-05": 13821.0,
"2025-06": 13354.0,
"2025-07": 14112.0,
"2025-08": 15694.0,
"2025-09": 14933.0,
"2025-10": 16443.0,
"2025-11": 21066.0,
"2025-12": 22655.0,
"2026-01": 11770.0,
"2026-02": 11742.0,
"2026-03": 16502.0
}
},
"ratio_of": [
"units",
"of_units"
]
},
{
"id": "rows:cities",
"title": "Rows in cities",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"cities\"",
"column": "n",
"values": {
"all": 60.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:subcategories",
"title": "Rows in subcategories",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"subcategories\"",
"column": "n",
"values": {
"all": 30.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:brands",
"title": "Rows in brands",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"brands\"",
"column": "n",
"values": {
"all": 32.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:variants",
"title": "Rows in variants",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"variants\"",
"column": "n",
"values": {
"all": 1085.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:stores",
"title": "Rows in stores",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"stores\"",
"column": "n",
"values": {
"all": 41.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:products",
"title": "Rows in products",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"products\"",
"column": "n",
"values": {
"all": 1500.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:customers",
"title": "Rows in customers",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"customers\"",
"column": "n",
"values": {
"all": 150000.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:orders",
"title": "Rows in orders",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"orders\"",
"column": "n",
"values": {
"all": 1199998.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:order_lines",
"title": "Rows in order lines",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"order_lines\"",
"column": "n",
"values": {
"all": 3023975.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
},
{
"id": "rows:returns",
"title": "Rows in returns",
"kind": "count",
"unit": "count",
"grain": "whole",
"sql": "SELECT count(*) AS n FROM \"returns\"",
"column": "n",
"values": {
"all": 221756.0
},
"stated": {},
"source": "data",
"text": null,
"adds_up": false
}
],
"sql_check": [
{
"id": "orders_by_month",
"kind": "count",
"holds": true,
"compared": 42,
"wrong": []
},
{
"id": "apparel_return_rate",
"kind": "cohort",
"holds": null,
"note": "no SQL reading: a shape, or a rate per period, held by the certificate's own check"
}
],
"patterns": [],
"realism": {
"facts": [
{
"fact": "uneven_activity",
"where": "orders per customer",
"value": 2.0071,
"typical": true,
"note": "the busiest 10% of customers hold 59% of orders"
},
{
"fact": "uneven_activity",
"where": "orders per store",
"value": 1.9284,
"typical": true,
"note": "the busiest 10% of stores hold 40% of orders"
}
],
"typical": 2,
"measured": 2
},
"scorecard": {
"score": 100.0,
"families": {
"dependency": {
"score": 100.0,
"pass": 3,
"weak": 0,
"fail": 0
},
"popularity": {
"score": 100.0,
"pass": 2,
"weak": 0,
"fail": 0
},
"time_order": {
"score": 100.0,
"pass": 3,
"weak": 0,
"fail": 0
},
"concentration": {
"score": 100.0,
"pass": 4,
"weak": 0,
"fail": 0
},
"prices": {
"score": 100.0,
"pass": 1,
"weak": 0,
"fail": 0
},
"artifacts": {
"score": 100.0,
"pass": 0,
"weak": 0,
"fail": 0
}
},
"measured_on": "the whole run",
"checks": [
{
"family": "dependency",
"check": "shuffled_copy_auc",
"where": "products",
"status": "pass",
"value": 0.945,
"bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
"text": "a classifier tells products from a column-shuffled copy with AUC 0.945 over 3 features"
},
{
"family": "dependency",
"check": "shuffled_copy_auc",
"where": "customers",
"status": "pass",
"value": 0.98,
"bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
"text": "a classifier tells customers from a column-shuffled copy with AUC 0.98 over 6 features"
},
{
"family": "dependency",
"check": "shuffled_copy_auc",
"where": "order_lines",
"status": "pass",
"value": 0.941,
"bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
"text": "a classifier tells order_lines from a column-shuffled copy with AUC 0.941 over 6 features"
},
{
"family": "dependency",
"check": "shuffled_copy_auc",
"where": "returns",
"status": "note",
"value": 0.505,
"bar": "judged on 4 or more columns",
"text": "a classifier tells returns from a column-shuffled copy with AUC 0.505 over only 3 columns (4 features); too few columns to judge"
},
{
"family": "popularity",
"check": "top_to_median",
"where": "orders.store_id → stores",
"status": "pass",
"value": 18.8099,
"bar": "pass ≥ 3×, weak ≥ 1.6×",
"text": "the most chosen of stores appears 18.8× as often as the median one",
"at": {
"table": "orders",
"column": "store_id",
"parent": "stores"
}
},
{
"family": "popularity",
"check": "top_to_median",
"where": "order_lines.product_id → products",
"status": "pass",
"value": 60.8686,
"bar": "pass ≥ 3×, weak ≥ 1.6×",
"text": "the most chosen of products appears 60.9× as often as the median one",
"at": {
"table": "order_lines",
"column": "product_id",
"parent": "products"
}
},
{
"family": "time_order",
"check": "child_before_parent",
"where": "orders.order_date vs customers.signup_date",
"status": "pass",
"value": 0.0,
"bar": "≤ 0.2% (weak ≤ 1%)",
"text": "0.00% of orders are dated before their customer's signup date",
"at": {
"table": "orders",
"column": "order_date",
"fk": "customer_id",
"parent": "customers",
"parent_column": "signup_date"
}
},
{
"family": "time_order",
"check": "child_before_parent",
"where": "order_lines.order_date vs orders.order_date",
"status": "pass",
"value": 0.0,
"bar": "≤ 0.2% (weak ≤ 1%)",
"text": "0.00% of order_lines are dated before their order's order date",
"at": {
"table": "order_lines",
"column": "order_date",
"fk": "order_id",
"parent": "orders",
"parent_column": "order_date"
}
},
{
"family": "time_order",
"check": "child_before_parent",
"where": "returns.return_date vs order_lines.order_date",
"status": "pass",
"value": 0.0,
"bar": "≤ 0.2% (weak ≤ 1%)",
"text": "0.00% of returns are dated before their order_line's order date",
"at": {
"table": "returns",
"column": "return_date",
"fk": "order_line_id",
"parent": "order_lines",
"parent_column": "order_date"
}
},
{
"family": "concentration",
"check": "uneven_activity",
"where": "orders per customer",
"status": "pass",
"value": 0.7719,
"bar": "top 20% share pass ≥ 45%, weak ≥ 35% (a random deal gives 30%)",
"text": "the busiest 20% of customers hold 77% of orders (top 1%: 13%; CV 2.01); dealt at random they would hold 30%",
"source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product",
"at": {
"table": "orders",
"column": "customer_id",
"parent": "customers"
},
"pass_at": 0.45
},
{
"family": "concentration",
"check": "uneven_value",
"where": "orders value per customer",
"status": "pass",
"value": 0.8228,
"bar": "top 20% share pass ≥ 67%, weak ≥ 55% (a random deal gives 48%)",
"text": "the top 20% of customers hold 82% of the money in orders (top 1%: 15%); dealt at random they would hold 48%",
"source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product"
},
{
"family": "concentration",
"check": "uneven_activity",
"where": "order_lines per product",
"status": "pass",
"value": 0.592,
"bar": "top 20% share pass ≥ 45%, weak ≥ 30% (a random deal gives 21%)",
"text": "the busiest 20% of products hold 59% of order_lines (top 1%: 12%; CV 1.62); dealt at random they would hold 21%",
"source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product",
"at": {
"table": "order_lines",
"column": "product_id",
"parent": "products"
},
"pass_at": 0.45
},
{
"family": "concentration",
"check": "uneven_value",
"where": "order_lines value per product",
"status": "pass",
"value": 0.7099,
"bar": "top 20% share pass ≥ 50%, weak ≥ 35% (a random deal gives 22%)",
"text": "the top 20% of products hold 71% of the money in order_lines (top 1%: 23%); dealt at random they would hold 22%",
"source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product"
},
{
"family": "prices",
"check": "price_endings",
"where": "order_lines.unit_price",
"status": "pass",
"value": 0.7995,
"bar": "the 5 commonest cents hold ≥ 35% of the prices (weak ≥ 20%; 5% at random)",
"text": "384 distinct prices in order_lines.unit_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%",
"source": "prices are set by someone: a UK online retailer's 144 prices (UCI Online Retail II) end in .95, .25, .65, .85 and .75 two times in three; prices drawn at random spread their cents evenly (5% for any five)"
}
],
"coverage": {
"checks": 13,
"families": [
"concentration",
"dependency",
"popularity",
"prices",
"time_order"
],
"tables": [
"customers",
"order_lines",
"orders",
"products",
"returns",
"stores"
],
"of_tables": 6,
"enough": true
}
},
"realism_report": {
"findings": [],
"checks": 14,
"clean_tables": 1.0
},
"scenario": {
"future": false,
"window": [
"2023-01-01",
"2026-06-30"
],
"note": "The window ends in the future: this is a simulated scenario built from structural assumptions and the events you described, not a forecast."
},
"understanding": {},
"content": {},
"degraded": false,
"working_tables": {
"brands": {
"rows": 32
},
"cities": {
"rows": 60
},
"subcategories": {
"rows": 30
},
"variants": {
"rows": 1085
}
}
},
"realism_scorecard": "realism 98.1\n dependency 100 popularity 100 consistency 100 time_order 100 concentration 100 rhythm 83 prices 100 text 100 artifacts 100\n weak rhythm returns.return_date: the busiest weekday has 1.02x the quietest's rows in returns (p = 0.362 against every day alike); every weekday alike, as a random date gives\n note dependency returns: a classifier tells returns from a column-shuffled copy with AUC 0.505 over only 3 columns (4 features); too few columns to judge\n pass concentration orders per customer: the busiest 20% of customers hold 77% of orders (top 1%: 13%; CV 2.01); dealt at random they would hold 30%\n pass concentration orders value per customer: the top 20% of customers hold 82% of the money in orders (top 1%: 17%); dealt at random they would hold 44%\n pass concentration order_lines per product: the busiest 20% of products hold 59% of order_lines (top 1%: 12%; CV 1.62); dealt at random they would hold 21%\n pass concentration order_lines value per product: the top 20% of products hold 65% of the money in order_lines (top 1%: 18%); dealt at random they would hold 22%\n pass consistency order_lines.unit_price: order_lines.unit_price is within half to twice its products.list_price on 100% of rows (median 1.00x)\n pass consistency order_lines.unit_price: 0.1% of order_lines sell under their products.unit_cost after discount_pct\n pass consistency products.list_price: 0% of products sell under their unit_cost\n pass consistency order_lines.net_amount: order_lines.net_amount equals quantity × unit_price × (1 − discount_pct) on 100% of rows\n pass consistency order_lines.unit_price: 0% of order_lines sell under their unit_cost\n pass dependency products: a classifier tells products from a column-shuffled copy with AUC 0.989 over 5 features\n pass dependency customers: a classifier tells customers from a column-shuffled copy with AUC 0.98 over 6 features\n pass dependency order_lines: a classifier tells order_lines from a column-shuffled copy with AUC 0.998 over 8 features\n pass popularity order_lines.product_id → products: the most chosen of products appears 60.9× as often as the median one\n pass prices products.list_price: 384 distinct prices in products.list_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%\n pass prices order_lines.unit_price: 384 distinct prices in order_lines.unit_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%\n pass rhythm orders.order_date: the busiest weekday has 1.32x the quietest's rows in orders (p = 0 against every day alike)\n pass rhythm order_lines.order_date: the busiest weekday has 1.32x the quietest's rows in order_lines (p = 0 against every day alike)\n pass text products.product_name: 1,500 distinct texts in 1,500 rows of products.product_name\n pass time_order orders.order_date vs customers.signup_date: 0.00% of orders are dated before their customer's signup date\n pass time_order order_lines.order_date vs orders.order_date: 0.00% of order_lines are dated before their order's order date\n pass time_order order_lines.order_date vs customers.signup_date: 0.00% of order_lines are dated before their customer's signup date\n pass time_order returns.return_date vs order_lines.order_date: 0.00% of returns are dated before their order_line's order date",
"rows": {
"stores": 41,
"products": 1500,
"customers": 150000,
"orders": 1199998,
"order_lines": 3023975,
"returns": 221756
}
}