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Fanatic
22-25
22-25
22-25
18-21
22-25
18-21
18-21
22-25
22-25
18-21
22-25
22-25
26-29
22-25
18-21
18-21
18-21
18-21
18-21
18-21
22-25
18-21
22-25
18-21
18-21
18-21
18-21
22-25
18-21
18-21
18-21
18-21
18-21
18-21
22-25
18-21
22-25
22-25
22-25
22-25
22-25
18-21
22-25
22-25
18-21
22-25
22-25
18-21
22-25
18-21
18-21
18-21
18-21
22-25
18-21
18-21
18-21
18-21
18-21
18-21
22-25
18-21
18-21
18-21
22-25
22-25
18-21
18-21
18-21
18-21
18-21
18-21
22-25
18-21
18-21
18-21
18-21
18-21
22-25
22-25
22-25
22-25
22-25
18-21
18-21
26-29
22-25
22-25
22-25
22-25
18-21
22-25
18-21
18-21
22-25
26-29
22-25
22-25
18-21
22-25
22-25
18-21
18-21
22-25
22-25
18-21
18-21
22-25
18-21
22-25
30 above
18-21
22-25
22-25
22-25
22-25
22-25
26-29
18-21
22-25
22-25
22-25
18-21
22-25
18-21
22-25
22-25
22-25
22-25
22-25
22-25
22-25
18-21
22-25
22-25
22-25
22-25
18-21
18-21
18-21
22-25
22-25
22-25
22-25
22-25
18-21
22-25
22-25
26-29
22-25
22-25
22-25
22-25
26-29
22-25
22-25
22-25
22-25
18-21
22-25
22-25
26-29
22-25
22-25
22-25
22-25
22-25
22-25
22-25
18-21
22-25
22-25
18-21
18-21
30 above
22-25
18-21
22-25
22-25
22-25
22-25
18-21
18-21
22-25
22-25
22-25
22-25
18-21
18-21
22-25
22-25
18-21
18-21
22-25
18-21

Revalue the data according to the range 18 - 21 = 1; 22 - 25 = 2; 26 - 29 = 3; 30 - above = 4
 
Based on the given data, we can revalue the ranges as follows:

18-21 = 1
22-25 = 2
26-29 = 3
30 above = 4

Using these revalued ranges, we can update the table:

2
2
2
1
2
1
1
2
2
1
2
2
3
2
1
1
1
1
1
1
2
1
2
1
1
1
1
2
1
1
1
1
1
1
2
1
2
2
2
2
2
1
2
2
1
2
2
1
2
1
1
1
1
2
1
1
1
1
1
1
2
1
1
1
1
1
1
2
1
1
1
2
2
1
1
1
1
1
3[/
 

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