Table:
type of offence
guilty
stayed/ withdrawn
acquitted
other decisions
total cases

number
percent
number
percent
number
percent
number
percent
number
percent

violent offences
6,482
55
4,783
41
395
3
60
1
11,720
100

homicide
21
64
11
33
0
0
1
3
33
100

attempted murder
9
45
10
50
1
5
0
0
20
100

robbery
1,040
55
806
42
55
3
3
0
1,904
100

sexual assault
457
61
226
30
57
8
10
1
750
100

other sexual offences
407
61
211
32
45
7
4
1
667
100

major assault
1,478
62
835
35
71
3
12
1
2,396
100

common assault
1,858
51
1,663
46
77
2
15
0
3,613
100

uttering threats
987
53
791
42
77
4
12
1
1,867
100

criminal harassment
80
42
108
56
2
1
2
1
192
100

other crimes against persons
145
52
122
44
10
4
1
0
278
100

property offences
6,469
48
6,735
50
108
1
58
0
13,370
100

theft
2,083
45
2,528
54
34
1
13
0
4,658
100

break and enter
1,890
61
1,170
38
24
1
16
1
3,100
100

fraud
255
55
204
44
4
1
2
0
465
100

mischief
1,067
43
1,388
56
27
1
7
0
2,489
100

possess stolen property
971
42
1,291
56
16
1
16
1
2,294
100

other property crimes
203
56
154
42
3
1
4
1
364
100

administration of justice offences
2,723
63
1,518
35
28
1
21
0
4,290
100

fail to appear
110
45
130
53
0
0
6
2
246
100

breach of probation
74
63
41
35
0
0
2
2
117
100

unlawfully at large
219
85
39
15
0
0
0
0
258
100

fail to comply with order
1,776
62
1,066
37
25
1
8
0
2,875
100

other administration of justice
544
69
242
30
3
0
5
1
794
100

other criminal code offences
1,317
61
804
37
25
1
14
1
2,160
100

weapons
856
59
573
39
17
1
5
0
1,451
100

prostitution
3
27
8
73
0
0
0
0
11
100

disturbing the peace
37
43
49
57
0
0
0
0
86
100

residual criminal code
421
69
174
28
8
1
9
1
612
100

criminal code
16,991
54
13,840
44
556
2
153
0
31,540
100

criminal code traffic offences
494
76
135
21
15
2
2
0
646
100

impaired driving
251
79
57
18
9
3
1
0
318
100

other criminal code traffic
243
74
78
24
6
2
1
0
328
100

total criminal code offences
17,485
54
13,975
43
571
2
155
0
32,186
100

other federal statute offences
5,039
65
2,595
34
59
1
22
0
7,715
100

drug possession
435
28
1,123
72
3
0
7
0
1,568
100

other drug offences
354
53
306
46
1
0
1
0
662
100

youth criminal justice act
3,086
80
729
19
14
0
12
0
3,841
100

residual federal statutes
1,164
71
437
27
41
2
2
0
1,644
100

total offences
22,524
56
16,570
42
630
2
177
0
39,901
100

Based on the table image, your task is to extract the cells' values in row 29. Provide the cells in a row in the JSON structure, using the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}.

The target cell values of row 29: {"row_id": "29", "cell_list": ['prostitution', '3', '27', '8', '73', '0', '0', '0', '0', '11', '100']}