You are working on a data-mining project in a domain you know well. You visualize a subset of the attributes (see below) as scatter plots. (Note that the names of the attributes: Gamma, Iota, Beta, and Harry are completely meaningless, and are intended to be ambiguous as to not pre-dispose you to a particular answer.) 2.a.) What do you conclude from the scatter plots? 2.b.) If you cant conclude anything from the plot, what is your next step? 2.c.) What, if anything, would to do (or, at least, attempt to do) with this data based on the scatter plots alone?

Plot Matrix GAMMA TOTAL BETAI HARRY class dese.. T class HARRY #aloma 880 2009 00 8 0900 O ooe oo 80 0 &oog BETAI ciety 000am Pa 00 | T 2000 GPS 0 0 6 60 ago 0 0 600 008 0000 oco po IOTAI E 00000 apo 68 op os ooo 8 0060 8 00p meo . Dooo 90 000 oooo 000 00 8 88 Sp 08 Oo 3 Fasp .8000 0 0 00.00 Ops 005 6 8008 400 00 900 O W oo poo 00 2005 O 2001 8868 SAD Song 88.0 Coo GAMMA 00 . 60 pos 800 | o 0os 0.00 00) Plot Matrix GAMMA TOTAL BETAI HARRY class dese.. T class HARRY #aloma 880 2009 00 8 0900 O ooe oo 80 0 &oog BETAI ciety 000am Pa 00 | T 2000 GPS 0 0 6 60 ago 0 0 600 008 0000 oco po IOTAI E 00000 apo 68 op os ooo 8 0060 8 00p meo . Dooo 90 000 oooo 000 00 8 88 Sp 08 Oo 3 Fasp .8000 0 0 00.00 Ops 005 6 8008 400 00 900 O W oo poo 00 2005 O 2001 8868 SAD Song 88.0 Coo GAMMA 00 . 60 pos 800 | o 0os 0.00 00)