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stayed/ withdrawn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

the 19th row
the 8th column
the 25th row
the 14th row
Extract the contents of cells in the above rows or columns, identified by row or column indices. Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.

The cell values of target rows or columns are as follows:
For the 19th row: {"row_id": "19", "cell_list": ['possess stolen property', '971', '42', '1,291', '56', '16', '1', '16', '1', '2,294', '100']}
For the 8th column: {"column_id": "8", "cell_list": ['other decisions', 'number', '60', '1', '0', '3', '10', '4', '12', '15', '12', '2', '1', '58', '13', '16', '2', '7', '16', '4', '21', '6', '2', '0', '8', '5', '14', '5', '0', '0', '9', '153', '2', '1', '1', '155', '22', '7', '1', '12', '2', '177']}
For the 25th row: {"row_id": "25", "cell_list": ['fail to comply with order', '1,776', '62', '1,066', '37', '25', '1', '8', '0', '2,875', '100']}
For the 14th row: {"row_id": "14", "cell_list": ['property offences', '6,469', '48', '6,735', '50', '108', '1', '58', '0', '13,370', '100']}