Table:
average assessment value
median assessment value

owners who immigrated to canada as resettled refugees
canadian-born owners
difference
owners who immigrated to canada as resettled refugees
canadian-born owners
difference

2017 dollars

vancouver

all property types
861,400
1,073,000
-211,600
710,600
851,000
-140,400

single detached
1,283,600
1,512,400
-228,800
1,142,000
1,254,100
-112,100

semi-detached
1,009,400
1,270,200
-260,800
987,000
1,205,000
-218,000

row house
583,900
706,900
-123,000
545,600
617,000
-71,400

condominium
516,000
619,700
-103,700
463,000
515,000
-52,000

2016 dollars

toronto

all property types
614,800
715,000
-100,200
572,000
618,000
-46,000

single detached
768,800
849,300
-80,500
696,000
724,000
-28,000

semi-detached
562,000
656,800
-94,800
538,000
587,000
-49,000

row house
451,400
520,600
-69,200
441,000
463,000
-22,000

condominium
328,300
420,400
-92,100
303,000
359,000
-56,000

In the context of a table, we can utilize the json format {'value': '<cell value>', 'location': (row index, column index)} to express a cell's position, where both row and column indices commence from 1. Examining the provided table image, identify the locations of the following cells using this format.
Values to locate:
1. '618,000'
2. '861,400'
3. '768,800'
4. '2016 dollars'
5. '617,000'
6. '48.37'
7. '57.07'
8. '1,073,000'
If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.

The coordinates of target cells are listed below.
1. {'value': '618,000', 'location': (12, 6)}
2. {'value': '861,400', 'location': (5, 2)}
3. {'value': '768,800', 'location': (13, 2)}
4. {'value': '2016 dollars', 'location': (10, 2)}
5. {'value': '617,000', 'location': (8, 6)}
6. {'value': '48.37', 'location': 'DOES NOT EXIST'}
7. {'value': '57.07', 'location': 'DOES NOT EXIST'}
8. {'value': '1,073,000', 'location': (5, 3)}