Table:
(In millions, except percentages and per share amounts)	2019	2018	2017	Percentage Change 2019 Versus 2018	Percentage Change 2018 Versus 2017

Revenue	$ 125,843	$ 110,360	$ 96,571	14%	14%

Gross margin	82,933	72,007	62,310	15%	16%

Operating income	42,959	35,058	29,025	23%	21%

Net income	39,240	16,571	25,489	137%	(35)%

Diluted earnings per share	5.06	2.13	3.25	138%	(34)%

Non-GAAP operating income	42,959	35,058	29,331	23%	20%

Non-GAAP net income	36,830	30,267	25,732	22%	18%

Non-GAAP diluted earnings per share	4.75	3.88	3.29	22%	18%

Can you extract the data from these specific rows or columns in the table provided?
the 6th column
the 4th column
the 3rd row
the 5th row
the 4th row
the 7th row

Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.

The extracted row or column contents are listed below.
For the 6th column: {"column_id": "6", "cell_list": ['Percentage Change 2018 Versus 2017', '14%', '16%', '21%', '(35)%', '(34)%', '20%', '18%', '18%']}
For the 4th column: {"column_id": "4", "cell_list": ['2017', '$  96,571', '62,310', '29,025', '25,489', '3.25', '29,331', '25,732', '3.29']}
For the 3rd row: {"row_id": "3", "cell_list": ['Gross margin', '82,933', '72,007', '62,310', '15%', '16%']}
For the 5th row: {"row_id": "5", "cell_list": ['Net income', '39,240', '16,571', '25,489', '137%', '(35)%']}
For the 4th row: {"row_id": "4", "cell_list": ['Operating income', '42,959', '35,058', '29,025', '23%', '21%']}
For the 7th row: {"row_id": "7", "cell_list": ['Non-GAAP operating income', '42,959', '35,058', '29,331', '23%', '20%']}