Table:
Week

Date

Opponent

Results

Venue

Attendance

Final score

Team record

1

September 18

Washington Redskins

L 24–21

0–1

Metropolitan Stadium

47,900

2

September 24

at Detroit Lions

W 34–10

1–1

Tiger Stadium

54,418

3

October 1

Miami Dolphins

L 16–14

1–2

Metropolitan Stadium

47,900

4

October 8

St. Louis Cardinals

L 19–17

1–3

Metropolitan Stadium

49,687

5

October 15

at Denver Broncos

W 23–20

2–3

Mile High Stadium

51,656

6

October 23

at Chicago Bears

L 13–10

2–4

Soldier Field

55,701

7

October 29

at Green Bay Packers

W 27–13

3–4

Lambeau Field

56,263

8

November 5

New Orleans Saints

W 37–6

4–4

Metropolitan Stadium

49,784

9

November 12

Detroit Lions

W 16–14

5–4

Metropolitan Stadium

49,784

10

November 19

at Los Angeles Rams

W 45–41

6–4

Los Angeles Memorial Coliseum

77,982

11

November 26

at Pittsburgh Steelers

L 23–10

6–5

Three Rivers Stadium

50,348

12

December 3

Chicago Bears

W 23–10

7–5

Metropolitan Stadium

49,784

13

December 10

Green Bay Packers

L 23–7

7–6

Metropolitan Stadium

49,784

14

December 16

at San Francisco 49ers

L 20–17

7–7

Candlestick Park

61,214

Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row number, column number)} where both Row number and Column number begin from 1.
(1) '3–4',
(2) 'at Los Angeles Rams',
(3) '6',
(4) 'W 37–6',
(5) '61,214',
(6) '13',
(7) '7',
Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The target cell locations are as follows:
(1) {'value': '3–4', 'location': (8, 5)}
(2) {'value': 'at Los Angeles Rams', 'location': (11, 3)}
(3) {'value': '6', 'location': (7, 1)}
(4) {'value': 'W 37–6', 'location': (9, 4)}
(5) {'value': '61,214', 'location': (15, 7)}
(6) {'value': '13', 'location': (14, 1)}
(7) {'value': '7', 'location': (8, 1)}