Table:
Club

Season

League

FA Cup

Other

Total

Division

Apps
Goals

Apps
Goals

Apps

Goals

Apps
Goals

Tottenham Hotspur

1900–01[5]
Southern League First Division
1
0
0
0

1[a]

1
2
1

1901–02[5]
2
0
0
0

1[a]

2
3
2

1902–03[5]
12
4
4
3

3[a]

0
19
7

1903–04[5]
17
10
4
1

6[b]

2
27
13

1904–05[5]
20
7
4
0

2[a]

0
26
7

1905–06[5]
12
5
3
1

1[a]

2
16
8

1906–07[5]
20
7
3
0

0

0
23
7

1907–08[5]
20
10
1
0

1[a]

0
22
10

1908–09[5]
Second Division
27
18
4
0

—

31
18

Total

131

61

23

5

15

7

169

73

Chelsea

1909–10[5]
First Division
13
5
2
0

—

15
5

1910–11[5]
Second Division
19
6
3
3

—

22
9

1911–12[5]
14
2
0
0

—

14
2

1912–13[5]
First Division
27
10
3
1

—

30
11

1913–14[5]
27
4
2
0

—

29
4

1914–15[5]
6
3
0
0

—

6
3

Total

106

30

10

4

—

116

34

Career total

237
91
33
9

15

7
285
107

Inspect the given table and provide the contents of specific rows or columns. 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"]}.
Needed rows or columns:
row 4
row 17
column 7

The extracted row or column contents are listed below.
For row 4: {"row_id": "4", "cell_list": ['', '1901-02', '', '2', '0', '0', '0', '1', '2', '3', '2']}
For row 17: {"row_id": "17", "cell_list": ['', '1913-14', '', '27', '4', '2', '0', '-', '', '29', '4']}
For column 7: {"column_id": "7", "cell_list": ['', 'goals', '0', '0', '3', '1', '0', '1', '0', '0', '0', '5', '0', '3', '0', '1', '0', '0', '4', '9']}