Task: Functional-Dependency (source dataset: Auto-Relate)

Given a table represented shown below, your task is to determine functional dependencies that exist in the table. Recall that a functional dependency is a relationship where the value of one attribute (or a set of attributes), known as the determinant columns, can uniquely determines the value of another attribute, known as the dependent columns (e.g., student-ID => student-Name, car-model => car-make, employee-ID => department, etc.).

Instructions:
Analyze the provided table below, identify all functional dependencies that should semantically hold in the table. Do not produce spurious relationships that not semantically meaningful.

No explanation, format the output as a JSON object:{"Functional-Dependency": <list of functional dependencies>}. Each functional dependency should be represented as [<determinant column>, <dependent column>]

Input Table:
|   Receipt Number | Date                    | Time                    | Product                    |   Quantity |   Price $/each | Payment Type (cash / credit)   |   Store |   Cost of goods | Shipment date           | Type    |   Store ID | Store Name   | City         |   Area |   Number of sales people | StoreSize   |   NumberOfCheckOuts | DateOpened              |
|-----------------:|:------------------------|:------------------------|:---------------------------|-----------:|---------------:|:-------------------------------|--------:|----------------:|:------------------------|:--------|-----------:|:-------------|:-------------|-------:|-------------------------:|:------------|--------------------:|:------------------------|
|       1000114066 | 2019-05-18 00:00:00.000 | 1899-12-30 18:54:00.000 | Phone Type 2, Samsung      |         69 |            295 | cash                           |       6 |             266 | 2019-05-21 00:00:00.000 | Type 2  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000048022 | 2019-07-30 00:00:00.000 | 1899-12-30 11:47:40.000 | Keyboard Type 4, Samsung   |          4 |             15 | cash                           |       6 |              12 | 2019-08-03 00:00:00.000 | Type 4  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000002494 | 2018-01-15 00:00:00.000 | 1899-12-30 16:17:49.000 | Laptop Type 1, Dell        |         51 |            767 | credit                         |       6 |             609 | 2018-01-19 00:00:00.000 | Type 1  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000000887 | 2017-01-24 00:00:00.000 | 1899-12-30 15:00:34.000 | Headphones Type 5, HP      |         28 |             20 | credit                         |      12 |              18 | 2017-01-25 00:00:00.000 | Type 5  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000057999 | 2019-07-12 00:00:00.000 | 1899-12-30 11:09:13.000 | Phone Type 7, Huawei       |         78 |            473 | cash                           |       5 |             391 | 2019-07-14 00:00:00.000 | Type 7  |          5 | Best Buy     | Pavlodar     |   2100 |                       19 | Medium      |                   6 | 2010-12-03 00:00:00.000 |
|       1000134885 | 2019-04-03 00:00:00.000 | 1899-12-30 20:52:49.000 | Hard Drive Type 2, Huawei  |          8 |             36 | credit                         |       9 |              30 | 2019-04-10 00:00:00.000 | Type 2  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000001257 | 2017-06-14 00:00:00.000 | 1899-12-30 11:41:43.000 | Hard Drive Type 6, Huawei  |          6 |             71 | credit                         |       6 |              63 | 2017-06-18 00:00:00.000 | Type 6  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000053617 | 2019-07-06 00:00:00.000 | 1899-12-30 18:21:15.000 | Keyboard Type 4, HP        |          9 |             12 | credit                         |       2 |              11 | 2019-07-12 00:00:00.000 | Type 4  |          2 | K-Mart       | Shymkent     |   2200 |                       34 | Medium      |                   4 | 2015-04-06 00:00:00.000 |
|       1000002841 | 2018-03-13 00:00:00.000 | 1899-12-30 16:18:38.000 | Speakers Type 3, HP        |         67 |             93 | credit                         |      10 |              72 | 2018-03-16 00:00:00.000 | Type 3  |         10 | Trader Joe   | Petropavl    |    990 |                       16 | Small       |                   2 | 2011-02-05 00:00:00.000 |
|       1000002480 | 2018-04-27 00:00:00.000 | 1899-12-30 19:45:54.000 | Speakers Type 1, Dell      |         50 |             68 | credit                         |       5 |              54 | 2018-04-28 00:00:00.000 | Type 1  |          5 | Best Buy     | Pavlodar     |   2100 |                       19 | Medium      |                   6 | 2010-12-03 00:00:00.000 |
|       1000127670 | 2019-05-19 00:00:00.000 | 1899-12-30 11:32:14.000 | Phone Type 2, HP           |         28 |            341 | cash                           |      10 |             278 | 2019-05-26 00:00:00.000 | Type 2  |         10 | Trader Joe   | Petropavl    |    990 |                       16 | Small       |                   2 | 2011-02-05 00:00:00.000 |
|       1000126972 | 2019-05-13 00:00:00.000 | 1899-12-30 17:38:31.000 | Speakers Type 6, HP        |         21 |             19 | credit                         |       9 |              17 | 2019-05-18 00:00:00.000 | Type 6  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000150032 | 2017-05-17 00:00:00.000 | 1899-12-30 12:38:51.000 | Tablet Type 1, Samsung     |          4 |            553 | cash                           |       9 |             429 | 2017-05-24 00:00:00.000 | Type 1  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000001861 | 2017-06-12 00:00:00.000 | 1899-12-30 15:21:11.000 | Desktop Type 3, Huawei     |         99 |            163 | credit                         |      12 |             135 | 2017-06-18 00:00:00.000 | Type 3  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000006052 | 2019-02-18 00:00:00.000 | 1899-12-30 12:05:52.000 | Tablet Type 7, Dell        |         40 |            196 | cash                           |      12 |             160 | 2019-02-20 00:00:00.000 | Type 7  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000001439 | 2017-08-30 00:00:00.000 | 1899-12-30 13:40:21.000 | Hard Drive Type 2, Huawei  |         51 |             37 | credit                         |       7 |              33 | 2017-08-31 00:00:00.000 | Type 2  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000000496 | 2017-02-09 00:00:00.000 | 1899-12-30 20:34:26.000 | Laptop Type 1, HP          |         45 |            928 | credit                         |       7 |             749 | 2017-02-11 00:00:00.000 | Type 1  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000002525 | 2018-01-03 00:00:00.000 | 1899-12-30 11:58:16.000 | Phone Type 7, Dell         |         67 |            594 | credit                         |       7 |             461 | 2018-01-05 00:00:00.000 | Type 7  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000000161 | 2017-02-07 00:00:00.000 | 1899-12-30 16:56:38.000 | Speakers Type 1, Huawei    |         34 |             59 | credit                         |       3 |              49 | 2017-02-10 00:00:00.000 | Type 1  |          3 | Costco       | Taraz        |   3000 |                       43 | Medium      |                   4 | 2012-08-30 00:00:00.000 |
|       1000000547 | 2017-01-31 00:00:00.000 | 1899-12-30 17:09:03.000 | Hard Drive Type 5, Samsung |         53 |             67 | credit                         |       8 |              61 | 2017-02-02 00:00:00.000 | Type 5  |          8 | Home Depot   | Qyzylorda    |   3250 |                       29 | Large       |                   8 | 2014-10-12 00:00:00.000 |
|       1000000076 | 2017-01-10 00:00:00.000 | 1899-12-30 09:03:23.000 | Phone Type 6, HP           |          8 |            422 | cash                           |       2 |             358 | 2017-01-15 00:00:00.000 | Type 6  |          2 | K-Mart       | Shymkent     |   2200 |                       34 | Medium      |                   4 | 2015-04-06 00:00:00.000 |
|       1000067231 | 2019-07-09 00:00:00.000 | 1899-12-30 19:29:24.000 | Desktop Type 6, Huawei     |         18 |            403 | cash                           |       9 |             345 | 2019-07-14 00:00:00.000 | Type 6  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000061539 | 2019-07-01 00:00:00.000 | 1899-12-30 11:13:12.000 | Smart Watch Type 2, Dell   |         15 |            190 | credit                         |       7 |             159 | 2019-07-04 00:00:00.000 | Type 2  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000083909 | 2019-08-17 00:00:00.000 | 1899-12-30 20:58:59.000 | Monitor Type 3, Dell       |          6 |            150 | cash                           |       3 |             133 | 2019-08-20 00:00:00.000 | Type 3  |          3 | Costco       | Taraz        |   3000 |                       43 | Medium      |                   4 | 2012-08-30 00:00:00.000 |
|       1000162263 | 2019-11-10 00:00:00.000 | 1899-12-30 19:57:10.000 | Headphones Type 3, Samsung |          4 |             45 | credit                         |       3 |              36 | 2019-11-14 00:00:00.000 | Type 3  |          3 | Costco       | Taraz        |   3000 |                       43 | Medium      |                   4 | 2012-08-30 00:00:00.000 |
|       1000110934 | 2019-05-02 00:00:00.000 | 1899-12-30 17:40:51.000 | Mouse Type 1, HP           |         12 |              6 | credit                         |      10 |               5 | 2019-05-05 00:00:00.000 | Type 1  |         10 | Trader Joe   | Petropavl    |    990 |                       16 | Small       |                   2 | 2011-02-05 00:00:00.000 |
|       1000044337 | 2019-06-02 00:00:00.000 | 1899-12-30 17:34:33.000 | Desktop Type 7, Samsung    |         24 |            364 | credit                         |      10 |             304 | 2019-06-04 00:00:00.000 | Type 7  |         10 | Trader Joe   | Petropavl    |    990 |                       16 | Small       |                   2 | 2011-02-05 00:00:00.000 |
|       1000104485 | 2019-05-18 00:00:00.000 | 1899-12-30 14:54:43.000 | Hard Drive Type 6, Samsung |         32 |             91 | credit                         |       1 |              76 | 2019-05-25 00:00:00.000 | Type 6  |          1 | Walmart      | Almaty       |   2800 |                       55 | Small       |                   4 | 2016-11-06 00:00:00.000 |
|       1000081601 | 2019-08-15 00:00:00.000 | 1899-12-30 10:43:11.000 | Mouse Type 5, Huawei       |         15 |             14 | cash                           |       2 |              13 | 2019-08-17 00:00:00.000 | Type 5  |          2 | K-Mart       | Shymkent     |   2200 |                       34 | Medium      |                   4 | 2015-04-06 00:00:00.000 |
|       1000003643 | 2018-06-18 00:00:00.000 | 1899-12-30 20:32:23.000 | Speakers Type 2, Samsung   |          4 |             41 | cash                           |       7 |              37 | 2018-06-21 00:00:00.000 | Type 2  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000161836 | 2019-11-10 00:00:00.000 | 1899-12-30 16:31:33.000 | Mouse Type 7, Samsung      |         20 |             12 | credit                         |       1 |              10 | 2019-11-13 00:00:00.000 | Type 7  |          1 | Walmart      | Almaty       |   2800 |                       55 | Small       |                   4 | 2016-11-06 00:00:00.000 |
|       1000001247 | 2017-06-02 00:00:00.000 | 1899-12-30 12:30:34.000 | Mouse Type 7, Samsung      |         27 |             11 | cash                           |       6 |              10 | 2017-06-05 00:00:00.000 | Type 7  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000000895 | 2017-02-01 00:00:00.000 | 1899-12-30 15:21:35.000 | Phone Type 5, Dell         |         24 |            437 | cash                           |      12 |             374 | 2017-02-08 00:00:00.000 | Type 5  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000002907 | 2018-01-30 00:00:00.000 | 1899-12-30 12:29:18.000 | Headphones Type 4, Dell    |         21 |             23 | cash                           |      11 |              20 | 2018-02-02 00:00:00.000 | Type 4  |         11 | CVS          | Atyraū       |    575 |                        5 | Medium      |                   2 | 2016-12-03 00:00:00.000 |
|       1000002375 | 2018-01-23 00:00:00.000 | 1899-12-30 13:40:24.000 | Mouse Type 4, Huawei       |         54 |             18 | cash                           |       5 |              16 | 2018-01-30 00:00:00.000 | Type 4  |          5 | Best Buy     | Pavlodar     |   2100 |                       19 | Medium      |                   6 | 2010-12-03 00:00:00.000 |
|       1000001235 | 2017-07-12 00:00:00.000 | 1899-12-30 16:57:11.000 | Memory Type 1, HP          |         77 |             41 | credit                         |       5 |              33 | 2017-07-15 00:00:00.000 | Type 1  |          5 | Best Buy     | Pavlodar     |   2100 |                       19 | Medium      |                   6 | 2010-12-03 00:00:00.000 |
|       1000081145 | 2019-08-06 00:00:00.000 | 1899-12-30 13:05:52.000 | Headphones Type 4, Samsung |        508 |           6578 | cash                           |       2 |              21 | 2019-08-08 00:00:00.000 | Type 4  |          2 | K-Mart       | Shymkent     |   2200 |                       34 | Medium      |                   4 | 2015-04-06 00:00:00.000 |
|       1000001865 | 2017-06-15 00:00:00.000 | 1899-12-30 18:10:08.000 | Laptop Type 3, HP          |          4 |           1861 | credit                         |      12 |            1466 | 2017-06-19 00:00:00.000 | Type 3  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000003100 | 2018-06-01 00:00:00.000 | 1899-12-30 09:58:37.000 | Smart Watch Type 3, Huawei |         32 |            177 | credit                         |       1 |             153 | 2018-06-05 00:00:00.000 | Type 3  |          1 | Walmart      | Almaty       |   2800 |                       55 | Small       |                   4 | 2016-11-06 00:00:00.000 |
|       1000106764 | 2019-05-05 00:00:00.000 | 1899-12-30 11:03:46.000 | Phone Type 6, Huawei       |          7 |            353 | cash                           |       9 |             285 | 2019-05-12 00:00:00.000 | Type 6  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000001853 | 2017-06-07 00:00:00.000 | 1899-12-30 09:00:18.000 | Phone Type 8, Huawei       |          4 |            409 | cash                           |      12 |             325 | 2017-06-12 00:00:00.000 | Type 8  |         12 | Macys        | Taldyqorghan |   2485 |                       37 | Large       |                   6 | 2015-04-30 00:00:00.000 |
|       1000003370 | 2018-06-15 00:00:00.000 | 1899-12-30 11:58:03.000 | Hard Drive Type 2, Dell    |         30 |             32 | credit                         |       4 |              29 | 2018-06-20 00:00:00.000 | Type 2  |          4 | Staples      | Astana       |   1800 |                       14 | Medium      |                   6 | 2011-09-15 00:00:00.000 |
|       1000002134 | 2018-01-16 00:00:00.000 | 1899-12-30 09:06:49.000 | Speakers Type 2, Huawei    |        513 |          69960 | credit                         |       3 |              32 | 2018-01-17 00:00:00.000 | Type 2  |          3 | Costco       | Taraz        |   3000 |                       43 | Medium      |                   4 | 2012-08-30 00:00:00.000 |
|       1000016488 | 2019-06-11 00:00:00.000 | 1899-12-30 20:27:37.000 | Speakers Type 3, Samsung   |          2 |             64 | credit                         |       9 |              54 | 2019-06-18 00:00:00.000 | Type 3  |          9 | Office Max   | Aqtöbe       |   1450 |                       10 | Large       |                   8 | 2016-11-30 00:00:00.000 |
|       1000002547 | 2018-01-22 00:00:00.000 | 1899-12-30 15:11:34.000 | Headphones Type 1, Huawei  |         70 |             54 | credit                         |       7 |              43 | 2018-01-24 00:00:00.000 | Type 1  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |
|       1000081659 | 2019-08-16 00:00:00.000 | 1899-12-30 13:33:38.000 | Phone Type 12, Dell        |         27 |            430 | cash                           |       2 |             339 | 2019-08-18 00:00:00.000 | Type 12 |          2 | K-Mart       | Shymkent     |   2200 |                       34 | Medium      |                   4 | 2015-04-06 00:00:00.000 |
|       1000000431 | 2017-03-20 00:00:00.000 | 1899-12-30 18:42:42.000 | Mouse Type 4, Dell         |          2 |             18 | cash                           |       6 |              16 | 2017-03-23 00:00:00.000 | Type 4  |          6 | Office Depot | Öskemen      |   1500 |                       12 | Large       |                   8 | 2014-04-03 00:00:00.000 |
|       1000112282 | 2019-05-03 00:00:00.000 | 1899-12-30 20:39:14.000 | Laptop Type 6, Dell        |         12 |           1239 | credit                         |       1 |            1024 | 2019-05-10 00:00:00.000 | Type 6  |          1 | Walmart      | Almaty       |   2800 |                       55 | Small       |                   4 | 2016-11-06 00:00:00.000 |
|       1000000148 | 2017-01-25 00:00:00.000 | 1899-12-30 10:34:57.000 | Keyboard Type 2, Huawei    |        577 |           1218 | cash                           |       3 |              10 | 2017-02-01 00:00:00.000 | Type 2  |          3 | Costco       | Taraz        |   3000 |                       43 | Medium      |                   4 | 2012-08-30 00:00:00.000 |
|       1000148267 | 2017-05-20 00:00:00.000 | 1899-12-30 14:13:56.000 | Mouse Type 7, Huawei       |         63 |             10 | credit                         |       7 |               9 | 2017-05-23 00:00:00.000 | Type 7  |          7 | Walgreens    | Semey        |   1100 |                        8 | Large       |                   8 | 2015-04-08 00:00:00.000 |



label: Store
Store ID
Store
Store Name
Store
City
Store
Area
Store
Number of sales people
Store
StoreSize
Store
NumberOfCheckOuts
Store
DateOpened
output: {"Functional-Dependency": [["Store", "Store ID"], ["Store", "Store Name"], ["Store", "City"], ["Store", "Area"], ["Store", "Number of sales people"], ["Store", "StoreSize"], ["Store", "NumberOfCheckOuts"], ["Store", "DateOpened"]]}
labeled_fds: Store
Store ID
Store
Store Name
Store
City
Store
Area
Store
Number of sales people
Store
StoreSize
Store
NumberOfCheckOuts
Store
DateOpened
Receipt Number
Date
Receipt Number
Product
Receipt Number
Price $/each
Receipt Number
Payment Type (cash / credit)
Receipt Number
Store
Receipt Number
Store ID
Receipt Number
Store Name
Receipt Number
City
Receipt Number
Area
Receipt Number
Number of sales people
Receipt Number
NumberOfCheckOuts
Receipt Number
DateOpened
Time
Date
Time
Price $/each
Time
Payment Type (cash / credit)
Time
Store
Time
Cost of goods
Time
Type
Time
Store Name
Time
City
Time
Area
Time
Number of sales people
Time
StoreSize
Time
NumberOfCheckOuts
Time
DateOpened
source: $MMTU_HOME/resources/Relationship-finding/FD/110859581