Table:
retailers' sales of non-medical cannabis
wholesalers' retail sales of non-medical cannabis
total retail activity
wholesalers proportion of total retail activity

unadjusted dollars
percent

total
907,833
17,541
925,374
1.9

september 2019
121,453
904
122,357
0.7

august 2019
124,576
931
125,507
0.7

july 2019
106,065
1,095
107,160
1.0

june 2019
89,811
1,232
91,043
1.4

may 2019
82,384
1,377
83,761
1.6

april 2019
72,895
1,380
74,275
1.9

march 2019
59,350
1,391
60,741
2.3

february 2019
50,292
1,419
51,711
2.7

january 2019
53,294
1,796
55,090
3.3

december 2018
55,808
2,005
57,813
3.5

november 2018
52,322
2,409
54,731
4.4

october 2018
39,583
1,602
41,185
3.9

Return the cells' value in the subsequent table rows or columns:
the 9th row
the 14th row
the 1st column
the 12th row
the 3rd row

Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cell values of target rows or columns are as follows:
For the 9th row: {"row_id": "9", "cell_list": ['april 2019', '72,895', '1,380', '74,275', '1.9']}
For the 14th row: {"row_id": "14", "cell_list": ['november 2018', '52,322', '2,409', '54,731', '4.4']}
For the 1st column: {"column_id": "1", "cell_list": ['', '', 'total', 'september 2019', 'august 2019', 'july 2019', 'june 2019', 'may 2019', 'april 2019', 'march 2019', 'february 2019', 'january 2019', 'december 2018', 'november 2018', 'october 2018']}
For the 12th row: {"row_id": "12", "cell_list": ['january 2019', '53,294', '1,796', '55,090', '3.3']}
For the 3rd row: {"row_id": "3", "cell_list": ['total', '907,833', '17,541', '925,374', '1.9']}