Table:
Week

Date

Opponent

Result

Attendance

1

September 4, 1988

at Detroit Lions

L 31–17

31,075

2

September 11, 1988

New Orleans Saints

L 29–21

48,901

3

September 18, 1988

at San Francisco 49ers

W 34–17

60,168

4

September 25, 1988

at Dallas Cowboys

L 26–20

39,702

5

October 2, 1988

Seattle Seahawks

L 31–20

28,619

6

October 9, 1988

Los Angeles Rams

L 33–0

30,852

7

October 16, 1988

at Denver Broncos

L 30–14

75,287

8

October 23, 1988

New York Giants

L 23–16

45,092

9

October 30, 1988

at Philadelphia Eagles

W 27–24

60,091

10

November 6, 1988

Green Bay Packers

W 20–0

29,952

11

November 13, 1988

San Diego Chargers

L 10–7

26,329

12

November 20, 1988

at Los Angeles Raiders

W 12–6

40,967

13

November 27, 1988

Tampa Bay Buccaneers

W 17–10

14,020

14

December 4, 1988

San Francisco 49ers

L 13–3

44,048

15

December 11, 1988

at Los Angeles Rams

L 22–7

42,828

16

December 18, 1988

at New Orleans Saints

L 10–9

60,566

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row index, column index)}. Both row and column indices begin from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Target cells:
1. '4';
2. 'November 27, 1988';
3. 'L 26–20';
4. '29,952';
5. '15';
6. 'December 18, 1988';
7. 'Green Bay Packers';
8. 'September 11, 1988';
9. 'at Denver Broncos';

The target cell locations are as follows:
1. {'value': '4', 'location': (5, 1)}
2. {'value': 'November 27, 1988', 'location': (14, 2)}
3. {'value': 'L 26–20', 'location': (5, 4)}
4. {'value': '29,952', 'location': (11, 5)}
5. {'value': '15', 'location': (16, 1)}
6. {'value': 'December 18, 1988', 'location': (17, 2)}
7. {'value': 'Green Bay Packers', 'location': (11, 3)}
8. {'value': 'September 11, 1988', 'location': (3, 2)}
9. {'value': 'at Denver Broncos', 'location': (8, 3)}