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:
| Region   |   General Ledger Account | Transcation Type   | Sales Order Date        | US Gaap Recognition Date   | IFRS Recognition Date   | Item Number   | Region Name   | Region Currency   |
|:---------|-------------------------:|:-------------------|:------------------------|:---------------------------|:------------------------|:--------------|:--------------|:------------------|
| EUR      |                    10100 | STD                | 2019-11-28 00:00:00.000 | 2019-12-08 00:00:00.000    | 2020-01-29 00:00:00.000 | TH00000046    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-03-29 00:00:00.000 | 2018-04-11 00:00:00.000    | 2018-04-18 00:00:00.000 | TH00000046    | Europe        | GBP               |
| SAM      |                    10100 | STD                | 2018-09-20 00:00:00.000 | 2018-09-21 00:00:00.000    | 2018-11-13 00:00:00.000 | TH00000001    | South America | BRL               |
| USA      |                    10100 | STD                | 2019-12-21 00:00:00.000 | 2019-12-23 00:00:00.000    | 2020-02-01 00:00:00.000 | TS00000849    | United States | USD               |
| EUR      |                    10100 | STD                | 2019-06-27 00:00:00.000 | 2019-07-10 00:00:00.000    | 2019-08-22 00:00:00.000 | TS00000052    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-02-01 00:00:00.000 | 2019-02-02 00:00:00.000    | 2019-03-11 00:00:00.000 | TH00000046    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-09-19 00:00:00.000 | 2019-09-26 00:00:00.000    | 2019-10-27 00:00:00.000 | TS00000052    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-11-16 00:00:00.000 | 2019-11-21 00:00:00.000    | 2019-12-19 00:00:00.000 | TB00000124    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-05-01 00:00:00.000 | 2018-05-05 00:00:00.000    | 2018-05-06 00:00:00.000 | AC00000087    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-12-18 00:00:00.000 | 2019-12-22 00:00:00.000    | 2020-02-16 00:00:00.000 | AP00000007    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-09-02 00:00:00.000 | 2018-09-15 00:00:00.000    | 2018-09-30 00:00:00.000 | AC00000013    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-12-07 00:00:00.000 | 2019-12-11 00:00:00.000    | 2020-01-11 00:00:00.000 | AM00000028    | Europe        | GBP               |
| AUZ      |                    10100 | STD                | 2018-02-21 00:00:00.000 | 2018-03-07 00:00:00.000    | 2018-03-30 00:00:00.000 | TS00000542    | Australia     | AUD               |
| EUR      |                    10100 | STD                | 2019-02-10 00:00:00.000 | 2019-02-12 00:00:00.000    | 2019-04-09 00:00:00.000 | CN00000096    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-05-28 00:00:00.000 | 2018-06-03 00:00:00.000    | 2018-06-30 00:00:00.000 | TS00000078    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-01-30 00:00:00.000 | 2019-02-08 00:00:00.000    | 2019-02-20 00:00:00.000 | TS00000075    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-03-23 00:00:00.000 | 2019-04-05 00:00:00.000    | 2019-04-19 00:00:00.000 | TH00000041    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-02-23 00:00:00.000 | 2018-03-07 00:00:00.000    | 2018-04-06 00:00:00.000 | AP00000040    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-04-12 00:00:00.000 | 2019-04-16 00:00:00.000    | 2019-04-28 00:00:00.000 | AM00000028    | Europe        | GBP               |
| SAM      |                    10100 | CRD                | 2019-02-26 00:00:00.000 | 2019-02-26 00:00:00.000    | 2019-02-26 00:00:00.000 | TB00001313    | South America | BRL               |
| USA      |                    10100 | STD                | 2019-02-02 00:00:00.000 | 2019-02-16 00:00:00.000    | 2019-04-07 00:00:00.000 | TS00000330    | United States | USD               |
| EUR      |                    10100 | STD                | 2018-05-04 00:00:00.000 | 2018-05-10 00:00:00.000    | 2018-05-19 00:00:00.000 | AM00000015    | Europe        | GBP               |
| AUZ      |                    10100 | STD                | 2018-02-22 00:00:00.000 | 2018-03-05 00:00:00.000    | 2018-03-17 00:00:00.000 | ON00000501    | Australia     | AUD               |
| EUR      |                    10100 | STD                | 2019-03-07 00:00:00.000 | 2019-03-14 00:00:00.000    | 2019-04-02 00:00:00.000 | ON00000335    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-10-06 00:00:00.000 | 2019-10-19 00:00:00.000    | 2019-12-13 00:00:00.000 | TS00000109    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-07-17 00:00:00.000 | 2018-07-19 00:00:00.000    | 2018-08-15 00:00:00.000 | TH00000091    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-11-07 00:00:00.000 | 2019-11-07 00:00:00.000    | 2019-12-31 00:00:00.000 | AM00000002    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-09-30 00:00:00.000 | 2018-10-14 00:00:00.000    | 2018-10-28 00:00:00.000 | TH00000041    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-09-24 00:00:00.000 | 2019-09-28 00:00:00.000    | 2019-10-31 00:00:00.000 | AM00000019    | Europe        | GBP               |
| EUR      |                    10100 | RTN                | 2018-12-08 00:00:00.000 | 2018-12-08 00:00:00.000    | 2018-12-08 00:00:00.000 | DO00000167    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-03-11 00:00:00.000 | 2019-03-22 00:00:00.000    | 2019-04-30 00:00:00.000 | AC00000036    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-07-03 00:00:00.000 | 2019-07-05 00:00:00.000    | 2019-07-23 00:00:00.000 | TB00000093    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-07-31 00:00:00.000 | 2019-08-03 00:00:00.000    | 2019-08-17 00:00:00.000 | PA00000174    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-07-17 00:00:00.000 | 2018-07-28 00:00:00.000    | 2018-07-31 00:00:00.000 | TS00000114    | Europe        | GBP               |
| SAM      |                    10100 | CRD                | 2019-12-28 00:00:00.000 | 2019-12-28 00:00:00.000    | 2019-12-28 00:00:00.000 | TC00001297    | South America | BRL               |
| EUR      |                    10100 | STD                | 2019-02-01 00:00:00.000 | 2019-02-12 00:00:00.000    | 2019-04-04 00:00:00.000 | TH00000046    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-07-19 00:00:00.000 | 2018-08-02 00:00:00.000    | 2018-09-24 00:00:00.000 | AC00000036    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-08-09 00:00:00.000 | 2019-08-15 00:00:00.000    | 2019-10-04 00:00:00.000 | AW00000173    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-03-26 00:00:00.000 | 2018-04-03 00:00:00.000    | 2018-05-06 00:00:00.000 | ON00000335    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-04-06 00:00:00.000 | 2018-04-11 00:00:00.000    | 2018-04-21 00:00:00.000 | AP00000027    | Europe        | GBP               |
| SAM      |                    10100 | STD                | 2019-07-24 00:00:00.000 | 2019-07-24 00:00:00.000    | 2019-09-06 00:00:00.000 | TB00001044    | South America | BRL               |
| SAM      |                    10100 | CRD                | 2018-10-26 00:00:00.000 | 2018-10-26 00:00:00.000    | 2018-10-26 00:00:00.000 | TC00001310    | South America | BRL               |
| EUR      |                    10100 | STD                | 2017-12-30 00:00:00.000 | 2018-01-12 00:00:00.000    | 2018-02-08 00:00:00.000 | ON00000342    | Europe        | GBP               |
| SAM      |                    10100 | CRD                | 2018-11-04 00:00:00.000 | 2018-11-04 00:00:00.000    | 2018-11-04 00:00:00.000 | TT00001395    | South America | BRL               |
| EUR      |                    10100 | STD                | 2018-11-04 00:00:00.000 | 2018-11-08 00:00:00.000    | 2018-12-02 00:00:00.000 | AM00000016    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-03-28 00:00:00.000 | 2019-04-05 00:00:00.000    | 2019-04-20 00:00:00.000 | TS00000022    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2018-10-13 00:00:00.000 | 2018-10-15 00:00:00.000    | 2018-11-27 00:00:00.000 | PT00000226    | Europe        | GBP               |
| EUR      |                    10100 | STD                | 2019-07-18 00:00:00.000 | 2019-07-19 00:00:00.000    | 2019-08-18 00:00:00.000 | AC00000036    | Europe        | GBP               |
| AUZ      |                    10100 | STD                | 2018-06-27 00:00:00.000 | 2018-07-02 00:00:00.000    | 2018-07-07 00:00:00.000 | ON00000497    | Australia     | AUD               |
| EUR      |                    10100 | STD                | 2019-03-11 00:00:00.000 | 2019-03-18 00:00:00.000    | 2019-04-12 00:00:00.000 | AM00000020    | Europe        | GBP               |



label: Region
Region Name
Region
Region Currency
output: {"Functional-Dependency": [["Region", "Region Name"], ["Region", "Region Currency"]]}
labeled_fds: Region
Region Name
Region
Region Currency
Item Number
Region
Item Number
Transcation Type
Item Number
Region Name
Item Number
Region Currency
source: $MMTU_HOME/resources/Relationship-finding/FD/126032680