The data looks like this:

1,Case,Iter,Fusion,Type,Tanks,AFVs,ADAs,IFVs,UAVS,Unknown,Total, Latency, Decoys
,FalseNeg, FalsePos
32,A2,1,UE_Battle_Bde,TRUTH,0,0,0,0,0,0,0,0,0
32,A2,1,UE_Battle_Bde,PERCEIVED,0,0,0,0,0,0,0,0,0,0,0
32,A2,1,UE_Battle_Bde,FREQUENCIES,0,0,0,0,0
32,A2,1,UA1,TRUTH,0,0,0,0,0,0,0,0,0
32,A2,1,UA1,PERCEIVED,0,0,0,0,0,0,0,0,0,0,0
32,A2,1,UA1,FREQUENCIES,0,0,0,0,0
35,A2,1,UE_Battle_Bde,TRUTH,0,0,0,0,0,0,0,0,0
35,A2,1,UE_Battle_Bde,PERCEIVED,0,0,0,0,0,0,0,0,0,0,0
35,A2,1,UE_Battle_Bde,FREQUENCIES,0,0,0,0,0

Within the time steps (32 and 35 shown here), I am matching rows that share the same columns titled Case, Fusion and Type. Then, within each line that has the same Time, Case, Fusion and Type I am averaging all the other columns (0s here).

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