Table:
characteristic
%
95% confidence interval

from
to

total
76.6
76.0
77.1

chronic pain

yes
68.5
67.4
69.6

no
78.8
78.2
79.4

socio-demographic characteristics

sex

men
76.5
75.8
77.2

women
76.6
75.9
77.3

age group

18 to 34
75.7
74.7
76.7

35 to 49
76.3
75.3
77.3

50 to 64
77.1
76.2
78.0

65 or older
77.5
76.6
78.3

education

postsecondary graduation
78.2
77.7
78.8

less than postsecondary graduation
69.1
67.8
70.4

marital status

married/common-law
79.4
78.8
80.0

no partner
78.4
77.4
79.4

household income quintile

lowest
69.1
67.8
70.4

low-middle
75.2
74.0
76.3

middle
77.2
76.1
78.2

high-middle
78.4
77.4
79.4

highest
82.1
81.1
83.1

race/cultural identity

white
77.3
76.7
77.8

black
78.6
74.3
82.3

other
74.9
73.2
76.5

health characteristics

positive health behaviours

none
67.1
65.3
68.9

one
73.2
72.2
74.2

two
78.6
77.9
79.3

three
81.5
80.5
82.5

chronic physical conditions

none
79.3
78.5
80.0

one
76.7
75.8
77.6

two
74.2
73.0
75.5

three or more
70.0
68.8
71.1

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_id, column_id)}. Both row and column id begin from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Target cells:
1. '67.1',
2. 'from',
3. 'to',

The target cell locations are as follows:
1. {'value': '67.1', 'location': (34, 2)}
2. {'value': 'from', 'location': (2, 3)}
3. {'value': 'to', 'location': (2, 4)}