Table:
Season

Episodes

Time slot (EST)

Original airing

Rank

Viewers
(in millions)

Season premiere

Season finale

TV season

1

23

Friday 9pm/8c (October 6, 2000 – January 12, 2001)
Thursday 9pm/8c (February 1, 2001 – May 17, 2001)

October 6, 2000 (2000-10-06)

May 17, 2001 (2001-05-17)

2000–2001

#10

17.80[11]

2

23

Thursday 9pm/8c

September 27, 2001 (2001-09-27)

May 16, 2002 (2002-05-16)

2001–2002

#2

23.69[12]

3

23

September 26, 2002 (2002-09-26)

May 15, 2003

2002–2003

#1

26.20[13]

4

23

September 25, 2003 (2003-09-25)

May 20, 2004

2003–2004

#2

25.27[14]

5

25

September 23, 2004 (2004-09-23)

May 19, 2005

2004–2005

#2

26.26[15]

6

24

September 22, 2005 (2005-09-22)

May 18, 2006

2005–2006

#3

24.86[16]

7

24

September 21, 2006 (2006-09-21)

May 17, 2007

2006–2007

#4

20.34[17]

8

17

September 27, 2007 (2007-09-27)

May 15, 2008

2007–2008

#9

16.62[18]

9

24

October 9, 2008 (2008-10-09)

May 14, 2009

2008–2009

#4

18.52[19]

10

23

September 24, 2009 (2009-09-24)

May 20, 2010

2009–2010

#12

14.92[20]

11

22

September 23, 2010 (2010-09-23)

May 12, 2011

2010–2011

#12

13.52[21]

12

22

Wednesday 10pm/9c

September 21, 2011

May 9, 2012

2011–2012

#21

12.49[22]

13

22

September 26, 2012

May 15, 2013

2012–2013

#25

11.63[23]

Your task:
Look at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices beginning from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Target cells:
1. '24.86'
2. '3'
3. '2003–2004'
4. '1'
5. '2000–2001'
6. '25'

The coordinates of target cells are listed below.
1. {'value': '24.86', 'location': (7, 8)}
2. {'value': '3', 'location': (4, 1)}
3. {'value': '2003–2004', 'location': (5, 6)}
4. {'value': '1', 'location': (2, 1)}
5. {'value': '2000–2001', 'location': (2, 6)}
6. {'value': '25', 'location': (6, 2)}