business intelligence 4

quality.csv

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quality	Test1	Test2	Test3	Test4
Good	2.58	0.75	1.36	2.26
Good	1.6	0.67	1.75	1.98
Poor	1.2	2.83	2.57	1.29
Good	2.16	1.35	1.65	0.37
Good	2.41	0.93	0.26	1.43
Good	1.45	0.71	1.74	0.81
Good	2.65	1.65	1.93	2.87
Good	0.86	1.6	1.94	2.69
Poor	1.4	1.51	2.93	1.5
Poor	1.57	1.96	0.59	0.4
Good	0.06	1.45	1.73	0.29
Good	1.68	0.98	1.05	2.57
Good	0.49	0.83	1.36	2.86
Good	1.63	0.16	1.91	1.46
Poor	1.88	2.27	0.29	1.21
Poor	0.23	1.87	2.98	1.38
Good	0.31	0.77	1.78	2.75
Good	2.5	1.39	2.23	2.48
Poor	0.81	2.78	2.88	1.21
Poor	2.93	0.58	2.88	2.29
Poor	0.57	2.01	2.55	1.93
Good	1.89	1.96	0.74	2.42
Good	2.89	1.76	0.16	2.83
Good	2.41	0.87	1.79	1.35
Good	1.8	0.17	0.98	0.58
Poor	1.75	1.48	2.95	2.84
Good	1.33	0.62	1.74	0.04
Good	0.65	0.25	2.43	0.86
Good	0.14	1.3	1.37	0.63
Good	2.53	0.34	1	1.9
Poor	2.51	2.53	0.54	1.86
Poor	0.2	2.41	2.93	0.66
Poor	2.87	2.02	1.01	0.86
Good	0.5	0.77	0.81	1.04
Good	0.94	1.05	2.14	1.27
Good	2.41	1.64	0.99	0.75
Good	2.58	1.89	0.04	2.37
Poor	1.9	2.36	2.76	2.22
Poor	0.26	2.78	1.07	1.63
Poor	2	0.54	2.65	2.56
Good	2.36	1.18	2.08	1.46
Poor	1.17	2.08	1.11	2.96
Good	1.97	1.18	0.04	2.77
Poor	2.85	2.78	2.6	0.54
Good	2.11	0.74	1.64	0.87
Good	1.75	0.61	0.24	0.72
Good	0.64	1.59	1.06	2.61
Poor	0.62	0.58	2.83	1.19
Poor	2.18	0.21	2.57	1.92
Poor	1.28	2.95	2.44	0.79
Good	2.02	1.43	2.53	1.3
Good	1.59	1.49	1.89	1.57
Good	2.2	0.46	2.4	1.64
Good	0.54	0.99	1.03	2.05
Poor	2.29	2.25	2.99	0.53
Good	1.58	0.08	2.23	1.43
Good	1.1	1.53	0.85	1.05
Poor	1.99	2.87	0.28	2.98
Good	2	1.15	0.17	0.92
Good	1.97	0.85	0.89	2.96
Good	0.39	1.56	2.32	1.61
Good	1.61	1.47	1.82	0.94
Poor	2.61	2.26	0.56	2.77
Poor	2.23	2.52	2.83	2.95
Poor	2.37	2.35	1.17	0.05
Good	0.26	1.95	0.93	0.6
Good	1.34	1.16	1.47	2.16
Good	2.11	1.28	1.15	1.1
Poor	2.85	2.91	0.5	2.42
Good	0.7	0.74	0.82	0.25
Good	1.42	0.24	1.74	1.27
Poor	0.95	2.72	0.68	1.34
Poor	2.6	1.87	2.59	1.22
Good	0.25	1.31	2.07	2.21
Poor	2.97	1.75	2.56	0.31
Poor	2.31	2.46	0.89	2.99
Good	1.17	1.94	1.61	2.15
Poor	1.06	2	2.22	0.33
Good	2.09	0.32	0.92	0.78
Good	1.56	1.93	2.3	0.29
Poor	1.66	0.72	2.99	2.43
Good	0.56	1.68	0.43	0.15
Good	1.64	1.56	2.39	0.24
Good	2.26	1.85	2	1.42
Poor	0.47	2.84	1.16	0.43
Poor	1.75	2.89	2.58	2.19
Poor	0.88	2.86	2.68	1.51
Good	0.71	0.6	2.54	1.01
Good	2.69	0.12	1.53	2.16
Poor	0.88	2.3	1.84	0.35
Poor	2.02	2.83	1.6	0.55
Poor	0.6	2.87	1.06	0.64
Good	1.7	0.1	0.08	1.68
Poor	1.37	2.34	2.93	1.06
Poor	2.63	2.13	2.8	2.88
Poor	0.76	2.92	1.28	1.7
Poor	0.75	0.64	2.78	1.56
Good	2.26	0.83	2.47	1.41
Poor	1.21	0.46	2.66	1.22
Good	0.68	0.28	0.99	0.76
Good	1.17	0.5	2.42	0.06
Good	0.57	0.96	1.6	2.96
Poor	0.14	2.03	1.49	1.2
Good	1.53	1.75	0.05	1.59
Good	0.76	0.53	1.44	0.79
Poor	2.06	2.66	0.82	0.92
Poor	2.23	2.58	1.43	2.79
Good	1.13	0.74	2.16	1.41
Poor	1.1	2.34	2.36	0.45
Good	0.69	1.46	2.12	1.39
Good	0.52	0.8	2.18	2.78
Good	0.34	0.4	1.99	2.42
Poor	2.73	2.61	2.77	2.56
Good	0.3	1.65	1.21	2.21
Poor	1.64	2.22	2.19	0.02
Poor	1.22	2.62	2.64	0.92
Good	1.45	1.74	1.75	0.57
Poor	1.43	1.08	2.67	1.66
Good	2.94	1.15	0.25	2.4
Poor	2.48	2.24	0.99	0.8
Poor	0.76	2.23	0.75	1.49
Poor	2.25	2.95	1.19	0.77
Poor	0.19	2.68	0.07	1.77
Poor	1.65	2.21	0.57	0.27
Good	0.11	0.82	0.16	1.33
Poor	1.94	1.96	1.98	2.01
Good	0.07	0.07	1.03	1.43
Good	0.77	1.79	2.28	0.59
Good	2.4	0.31	0.34	1.86
Poor	0.72	2.13	2.07	1.84
Good	0.76	1.1	0.28	0.93
Poor	2.43	1.5	2.75	0.06
Good	1.13	1.35	2.18	0.98
Poor	0.09	2.17	0.19	0.68
Poor	0.66	2.87	1.81	2.63
Poor	2.52	2.62	1.28	1.48
Good	1.14	1.06	1.82	2.53
Good	2.15	1.93	1.5	0.07
Good	1.86	1.3	1.16	2.83
Good	2.73	0.9	1.46	0.97
Good	0.67	1.22	0.88	1.15
Good	1.34	1.25	1.08	1.37
Good	0.81	0.78	0.6	0.13
Good	0.3	0.42	1.82	2.43
Poor	0.12	0.96	2.86	0.51
Good	0.69	1.94	1.78	1.47
Good	1.12	0.9	1.85	0.74
Poor	0.82	2.98	2.35	1.48
Poor	2.9	2.09	1.55	0.25
Poor	0.16	2.88	1.21	2.77
Good	1.81	1.83	0.24	1.55
Good	2.7	1.45	0.88	2.97
Good	0.66	0.11	0.49	0.08
Good	2.18	0.48	0.38	2.32
Good	0.15	0.19	0.24	0.04
Good	1.53	0.44	1.57	1.66
Poor	0.13	2.36	0.48	1.64
Poor	1.99	2.9	2.76	2.29
Good	2.49	0.28	1.29	1.89
Good	1.55	0.67	1.63	2.37
Good	2.78	0.58	1.77	1.11
Good	0.02	1.33	2.53	2.57
Poor	2.66	2.86	2.82	2.7
Poor	0.34	2.44	0.57	1.87
Poor	1.42	2.33	2.65	2.85
Poor	0.39	2.32	2.88	0.91
Good	2.89	1.74	2.12	2.62
Poor	1.72	2	0.93	0.9
Poor	2.67	2.15	1.49	0.04
Good	1.54	1.94	0.39	0.39
Good	0.66	1.67	0.49	2.84
Good	1.53	1.16	1.98	1.77
Good	2.04	1.36	1.89	1.27
Poor	2.49	2.08	0.37	2.82
Good	0.9	1.41	1.33	1.91
Good	2.96	0.09	1.91	2.73
Poor	2.34	1	2.6	2.3
Poor	1.34	2.55	1.28	2.65
Good	2.68	0.3	1.5	2.87
Good	2.45	1.33	1.92	1.59
Good	0.32	1.15	1.39	1.2
Good	0.73	0.45	1.52	2.41
Poor	0.17	2.99	2.36	0.73
Poor	0.83	2.5	2.59	0.62
Poor	0.13	0.1	2.94	1.38
Good	0.84	0.06	0.04	0.74
Good	0.81	1.05	0.91	2.14
Good	0.71	0.1	1.69	2.07
Poor	2.82	0.8	2.79	0.73
Good	0.65	1.1	2.11	2.81
Good	2.23	1.5	0.9	1.69
Poor	2.27	2.58	2.91	1.26
Poor	2.48	2.48	1.78	1.1
Poor	2.41	2.67	2.12	0.6
Poor	0.42	2.84	0.28	2.58
Good	0.98	0.17	0.72	1.42
Poor	2.04	0.62	2.87	2.42
Good	1.79	1.14	0.98	2.38
Good	2.62	1.08	0.95	0.61
Good	0.73	0.81	1.74	1
Good	0.08	1.74	1.48	2.29
Good	0.71	0.6	0.2	0.24
Good	1.53	1.15	1.35	0.99
Poor	0.36	2.16	1.21	1.38
Poor	0.61	1.92	2.56	2.02
Good	0.2	0.73	1.72	0.12
Poor	0.52	2.86	1.94	0.43
Poor	2.73	2.5	1.83	1.17
Poor	1.86	1.45	2.56	2.1
Poor	0.01	2.06	1.85	0.32
Poor	1.58	2.7	0.18	1.61
Good	1.29	0.42	1.17	1.04
Good	1.23	0.62	1.72	2.91
Poor	2.18	2.14	0.42	1.07
Poor	2.5	2.58	1.92	1.81
Good	2.05	0.54	0.23	0.73
Good	1.13	0.46	0.83	1.33
Good	0.81	0.56	0.74	0.41
Good	0.48	0.79	1.4	2.47
Good	0.57	0.57	1.15	2.12
Good	0.04	1.45	1.4	2.25
Good	0.45	1.32	0.6	1.36
Good	0.22	0.05	1.71	0.73
Good	1.89	0.17	2.13	2.28
Good	0.34	0.58	1.79	2.96
Good	0.54	0.85	2.18	1.71
Good	0.28	0.75	2.09	1.32
Poor	1.83	2.54	2.35	1.31
Good	1.38	0.1	0.84	0.69
Good	2.37	1.51	1	2.74
Poor	0.81	2.59	1.41	2.24
Poor	0.09	1.98	1.3	2.82
Good	2.76	0.78	0.03	3
Poor	0.76	2.5	1.12	2.88
Poor	0.89	2.57	0.36	0.4
Good	0.84	1.19	1.06	2.43
Good	2.41	0.88	0.6	1.3
Good	1.76	1.34	1.44	1.8
Good	2.23	0.21	0.63	0.3
Poor	0.22	2.65	0.68	2.26
Good	0.35	1.46	2.18	0.48
Poor	2.92	2.74	0.16	0.28
Poor	1.93	2.87	1.25	1.28
Poor	0.42	2.8	2.91	0.22
Poor	1.33	2	1.03	1.09
Poor	1.16	0.11	2.81	1.13
Good	2.95	1.93	2.1	1.98
Good	2.06	0.17	1.93	1.79
Good	2.14	0.92	1.97	1.78
Good	2.13	0.06	0.85	2.16
Good	1.76	1.19	1.83	2.18
Good	0.05	1.48	0.48	0.09
Good	2.44	0.92	0.4	1.01
Poor	0.52	2.67	2.86	1.97
Poor	1.44	0.99	2.71	1.4
Good	1.13	0.79	1.69	1.56
Poor	2.86	2.6	0.17	1.35
Good	2.93	1.04	2.34	0.98
Good	1.88	1.22	1.5	0.92
Poor	0.43	2.99	0.34	2.77
Poor	1.84	0.39	3	2.64
Good	0.91	0.33	1.84	1.8
Good	2.5	1	1.94	0.3
Good	0.45	1.22	2.28	1.03
Good	2.52	0.07	1.85	2.62
Poor	1.98	2.17	2.15	0.74
Good	1.79	0.96	1.7	2.24
Poor	1.89	0.05	2.57	1.16
Good	0.25	1.34	2.17	1.59
Good	2.25	0.05	1.33	1.98
Good	1.21	0.44	1.22	1.45
Poor	1.07	2.1	1.85	0.86
Good	0.25	1.47	0.78	1.22
Good	0.95	1.88	0.17	1.05
Good	0.6	0.6	0.73	2.99
Good	1.24	1.52	0.14	0.24
Poor	0.45	2.69	1.21	1.51
Good	0.47	0.08	0.19	2.07
Good	1.98	0.93	1.71	0.04
Poor	0.91	2.38	0.43	1.04
Poor	0.55	0.72	2.78	0.36
Poor	1.9	2.14	0.01	0.56
Good	2.99	1.96	0.86	2.37
Poor	1.14	2.04	2.12	0.53
Poor	2.85	2.42	0.23	1.56
Poor	2.94	2.9	1.21	1.71
Good	2.52	0.58	0.88	1.87
Poor	2.66	2.23	2.47	1.29
Good	2.78	1.66	1.37	1.39
Poor	0.45	0.16	2.84	2.35
Poor	0.84	2.68	2.51	0.8
Good	1.19	0.88	2.14	2.13
Good	1.31	0.82	0.57	2.36
Good	2.52	1.77	0.05	2.22
Good	1.25	1.52	1.27	2.18
Good	1.67	1.87	1.25	1.16
Good	0.94	1.62	0.34	0.67
Good	1.9	0.06	1.57	1.25
Poor	2.75	2.77	0.42	0.26
Poor	1.93	0.21	2.87	2.41
Good	2.69	0.88	0.96	1.43
Good	0.87	0.13	0.58	0.1
Good	2.37	1.78	2.39	1.31
Poor	1.58	2.41	1.64	0.21
Good	0.73	0.64	0.45	0.89
Good	2.49	1.44	0.29	2.59
Good	1.49	1.12	0.5	2.71
Poor	2.7	2.57	0.42	0.04
Poor	0.18	2.24	2.94	2.91
Poor	1.51	1.66	2.57	0.4
Poor	1.39	1.96	1.79	0.98
Good	2.25	1.8	1.16	2.61
Poor	2.78	2.7	1.1	1.79
Poor	2.82	1.01	2.86	2.57
Poor	1.48	1.99	2.77	1.72
Poor	2.79	2.01	2.59	2.67
Good	0.35	0.15	0.23	1.52
Good	1.37	0.81	0.3	0.98
Good	1.76	1.06	1.8	0.93
Good	2.68	0.05	0.96	1.48
Poor	0.8	2.95	0.37	2.96
Poor	1.33	3	1.22	0.54
Good	2.03	0.05	1.69	2.17
Good	1.6	0.72	1.91	2.32
Good	1.21	1.3	1.92	0.66
Good	0.59	0.5	2.48	0.29
Good	1.76	1.13	1.93	1.43
Poor	1.64	2.79	1.82	0.92
Good	1.93	1.55	1.77	1.12
Poor	0.13	2.6	2.38	2.26
Good	0.51	1.34	0.68	0.97
Poor	2.55	2.98	0.42	2.27
Good	0.86	1.66	0.26	0.58
Good	0.71	0.3	1.26	1.37
Poor	2.7	0.49	2.94	1.48
Poor	0.93	2.96	0.3	1.17
Poor	0.57	2.12	2.36	0.81
Poor	0.45	2.75	1.06	1.45
Good	2.1	0	1.66	2.12
Good	0.45	1.25	0.49	2.55
Good	1.43	1.75	1.04	2.13
Good	1.03	1.9	2.12	2.06
Good	0.52	1.64	0.27	1.8
Poor	1.81	2.82	1.84	0.52
Good	0.18	0.93	1.64	0.57
Poor	2.28	1.43	2.92	2.29
Poor	2.33	2.7	0.69	2.42
Poor	2.92	0.03	2.64	2.97
Good	1.02	1.92	0.72	2.04
Good	0.2	0.78	2.55	0.6
Good	0.84	0.89	2.14	1.63
Poor	1.64	1.54	2.66	1.65
Good	0.74	1.12	1.96	2.24
Good	2.7	0.19	1.2	0.36
Good	2.91	1.32	1.59	1.62
Good	2.34	1.24	2.47	2.29
Good	1.34	1.41	0.52	1.4
Poor	1.61	2.27	2.77	1.33
Good	0.85	1.68	0.15	0.92
Good	2.98	0.99	0.9	0.35
Poor	1.08	0.07	2.56	0.69
Poor	2.14	2.95	0	0.95
Good	2.75	0.45	2.23	1.52
Poor	2.18	2.24	2.54	2.87
Good	1.96	0.9	1.89	1.28
Good	0.9	0.01	2.19	1.75
Good	0.82	1.29	0.95	1.94
Good	2.71	1.25	1.51	0.35
Good	2.47	0.07	1.82	1.78
Good	2.77	1.88	1.51	0.97
Good	1.45	1.44	0.93	2.34
Poor	2.38	0.61	2.69	2.43
Good	1.88	0.54	0.15	2.83
Good	1.61	1.36	0.44	2.17
Good	0.08	1.38	1.62	1.57
Poor	2.07	2.63	2.68	1.84
Poor	2.13	2.92	0.53	0.15
Good	0.98	1.4	0.5	2.46
Good	1.97	0.94	0.16	1.13
Good	0.75	1.13	2.49	2.44
Poor	2.14	2.27	2.93	1.34
Poor	0.7	2.36	1.64	2.2
Good	0.51	1.37	2.03	2.49
Poor	2.29	2.49	0.76	0.03
Good	2.62	0.48	2.37	1
Poor	2.73	1.77	2.92	0.78
Good	2.44	1.92	1.03	2.07
Good	2.21	0.74	1.94	1.52
Good	0.3	1.84	1.04	1.49
Poor	1.1	2.13	1.36	2.96
Good	0.57	0.29	2.13	1.93
Poor	0.64	2.06	0.9	2.46
Poor	2.66	2.97	1.91	1.03
Poor	2.36	2.71	0.72	2.36
Good	0.95	0.8	0.54	1.99
Good	2.76	1.7	0.53	1.97
Poor	1.6	1.11	2.76	2.37
Good	1.06	1.13	0.82	0.52
Poor	2.53	2.18	2.46	2.1
Poor	2.32	2.6	2.98	0.8
Good	0.58	0.29	0.81	1.36
Poor	1.91	0.97	2.71	2.31
Poor	0.48	2.78	0.88	1.68
Poor	2.47	2.64	0.9	2.45
Poor	2.71	2.57	1.9	2.04
Poor	2.22	1.6	2.69	1.75
Good	1.19	0.36	0.91	0.06
Good	2.85	0.35	1.82	2.94
Poor	0.39	0.48	2.88	2.14
Good	1.37	0.23	0.45	0.23
Good	2.12	0.01	1.77	2.45
Poor	1.64	2.73	1.76	1.83
Good	0.37	1.33	2	0.73
Good	2.45	1.7	1.75	1.66
Poor	1.2	1.06	2.74	0.08
Poor	2.01	2.6	1.01	0.74
Poor	2.1	1.16	2.85	1.73
Good	0.65	0.56	0.4	0.73
Good	1.72	1.87	0.39	2.4
Good	2.67	0.85	0.59	1.43
Good	1.19	0.05	0.64	1.1
Good	0.56	0.4	1.52	1.11
Good	1.8	1.36	1.7	2.18
Poor	0.91	2.34	0.97	1.51
Good	1.45	1.53	0.96	2.05
Poor	2.27	2.91	1.15	1.61
Good	0.43	0.98	1.12	1.37
Poor	0.12	2.72	1.65	1.26
Good	0.6	0.98	1.47	2.58
Poor	1.11	0.77	2.88	1.8
Good	1.33	0.03	1.05	0.88
Good	2.4	1.69	0.03	2.87
Good	1.64	0.98	0.76	2.72
Good	2.36	0.08	0.76	1.34
Poor	2.96	2.65	0.63	2.66
Good	0.51	1.04	1.41	0.96
Poor	0.73	2.72	1.21	0.49
Poor	1.18	2.13	2.58	1.14
Poor	1.93	1.71	2.73	2.67
Poor	1.66	2.26	1.19	0.67
Poor	0.21	2.87	0.82	0.24
Good	1.35	1.04	1.59	2.22
Good	0.23	0.71	0.73	2.77
Good	0.08	0.82	1.02	0.82
Good	0.42	0.72	2.48	1.33
Good	2.77	1.31	0.81	0.74
Good	1.46	1.79	0.53	0.71
Good	1.73	1.69	1.76	2.62
Good	0.26	1.43	0.34	1.43
Poor	1.46	2.78	0.57	0.06
Poor	0.94	1.97	0.79	0.88
Poor	1.78	2.96	1.26	0.95
Good	2.6	0.52	0.1	1.13
Good	2.06	1.04	0.39	0.89
Good	2.8	1.38	0.05	0.6
Poor	0.77	2.66	0.52	2.07
Good	2.37	1.57	0.68	0.66
Good	0.74	1.31	2.2	2.59
Good	1.64	1.86	2.46	1.99
Good	0.14	1.87	2.43	2.31
Poor	1.73	2.18	0.5	1.14
Poor	1.1	2.49	1.38	0.42
Poor	2.64	2.56	1.26	1.28
Poor	2.65	2.78	0.98	2.5
Good	0.04	0.67	2.24	0.72
Poor	2.62	0.06	2.91	2.92
Poor	1.28	2.95	2.02	1.46
Poor	0.41	2.36	2.24	0.13
Good	2.12	1.61	0.53	2.99
Good	1.89	1.44	0.59	1.14
Poor	0.5	0.84	2.94	1.64
Good	0.16	0.56	0.38	2.01
Poor	2.94	1.65	2.9	1.91
Poor	1.43	1.37	2.89	1.64
Good	0.74	1.87	1.71	1.9
Good	1.52	1.91	2.4	1.72
Good	1.89	0.7	2.11	2.71
Poor	1.2	2.56	1.43	1.78
Good	1.05	1.31	0.56	2.61
Good	0.8	1.85	0.14	2.92
Poor	0.08	2.77	1.35	0.12
Good	1.4	1.05	1.1	2.12
Good	0.5	0.45	1.83	2.44
Good	1	1.79	1.72	2.25
Poor	0.87	2.81	2.65	2.48
Good	0.51	0.36	1.65	0.18
Good	1.8	1.03	1.26	0.15
Good	0.33	0.56	1.29	1.8
Poor	1.99	1.17	2.55	1.11
Good	1.51	0.27	0.85	1.92
Poor	0.88	2.31	2.53	2.43
Good	0.24	0.64	2.31	1.39
Good	1.94	1.92	2.2	2.62
Good	0.18	0.83	1.98	0.04
Good	1.86	1.28	0.19	2.23
Poor	0.36	2.01	1.28	2.59
Good	1.67	0.77	1.82	2.21
Poor	2.35	2.96	1.83	0.08
Good	2.38	1.08	0.49	1.01
Good	1.59	1.63	1.2	0.09
Good	1.55	0.49	2.54	2.25
Good	2.2	0.15	0.95	1.12
Poor	1.68	2.18	2.47	2.21
Poor	1.79	1.2	2.68	1.59
Poor	1.7	1.24	2.73	2.25
Poor	1.81	2.22	2.53	1.34
Good	0.06	0.12	1.83	1.9
Good	1.57	1.48	1.22	0.79
Poor	2.48	2.72	2.08	1.69
Good	0.16	1.45	1.23	0.81
Poor	1.83	0.9	2.81	0.3
Good	0.65	1.57	0.82	2.49
Poor	1.33	2.1	2.56	0.93
Good	2.7	1.02	2.04	1.34
Good	1.11	1.37	1.63	2.54
Poor	2.8	2.73	2.57	2.43
Good	0.47	1.82	1.45	1.24
Good	1.76	0	2.16	0.89
Good	2.55	1.82	2.02	1.82
Good	1.18	0.62	2.01	2.61
Good	0.37	1.93	0.51	1.5
Poor	1.46	0.24	2.98	0.66
Good	0.61	0.71	1.02	0.79
Poor	2.75	1.99	0.56	1.44
Poor	1.68	2.3	0.03	0.43
Good	2.11	0.57	1.45	0.31
Poor	1.56	2.03	0.53	1.52
Poor	1.2	2.22	2.13	1.89
Good	1.2	1.35	2.34	2.46
Good	0.19	1.33	2.46	1.59
Good	2.3	0.29	0.21	0.24
Good	1.36	1.42	1	1.12
Good	2.66	1.79	2.07	1.62
Poor	0.18	1.84	2.71	0.08
Good	1.23	1.16	0.91	1.52
Poor	1.41	2.52	2.94	1.84
Good	2.53	0.51	1.41	2.65
Poor	0.64	0.81	2.6	0.78
Poor	0.85	2.33	1.67	1.05
Good	1.29	0.08	1.36	1.85
Poor	1.66	2.06	0.3	1.59
Good	0.06	0.57	2.5	0.51
Poor	2.24	2.49	2	0.28
Poor	0.01	1.5	2.97	1.02
Good	0.03	1.81	0.17	2.29
Poor	0.21	2.36	1.8	1.72
Good	1.75	0.31	1.2	0.69
Good	2.44	0.48	0.16	0.88
Poor	2.58	2.86	1.48	2.87
Poor	0.51	2.3	2.15	2.54
Good	2.87	1.7	2.23	0.88
Good	2.91	0.79	1.05	1.55
Good	0.97	1.19	2.14	0.23
Poor	2.99	0.48	2.85	0.28
Good	1.15	0.26	2.28	1.81
Poor	2.95	2.49	0.16	0.19
Good	0.65	1.76	1.83	1.89
Good	2.4	0.69	2.52	0.58
Poor	2.41	2.69	1.48	1.55
Poor	2.06	2.87	0.75	2.15
Good	1.01	1.78	0.84	0.53
Good	2.24	1.12	1.56	0.7
Good	1	0.29	0.08	2.39
Good	1.79	0.97	2.03	1.26
Good	0.2	1.77	1.23	1.29
Good	0.55	0.75	1.99	0.72
Good	0.58	1.67	0.66	0.42
Good	2.19	0.59	0.85	1.7
Poor	0.12	2.68	0.04	1.36
Good	1.86	0.45	0.7	0.03
Poor	1.76	0.79	2.89	2.22
Good	1.01	0.83	2.19	0.23
Good	1.73	1.37	2.04	2.08
Good	0.17	1.35	1.33	1.33
Good	2.51	0.92	0.48	0.54
Good	2.84	0.45	1.37	2.01
Good	1.51	1.46	2.34	2.88
Good	1.17	1.84	1.86	0.36
Good	0.96	0.58	1.27	2.81
Good	2.33	0.47	2.21	1.76
Poor	1.96	2.74	0.65	0.25
Poor	2.22	2.74	1.91	0.15
Good	2.02	1.45	2.5	2.86
Good	2.74	1.92	1.26	0.64
Poor	2.06	2.52	2.28	2.76
Good	1.84	0.76	2.51	1.71
Good	1.67	1.18	0.97	1.67
Poor	0.22	0.88	2.96	2.13
Good	2.35	0.36	1.9	1.37
Good	0.28	0.18	0.02	2.4
Good	2.93	1.6	1.62	2.12
Good	0.53	1.05	1.4	2.11
Good	2.23	1.81	2.19	1.4
Poor	1.78	2.23	0.27	1.93
Poor	0.59	2.9	2.75	0.29
Good	0.34	1.88	2.46	2.39
Good	0.41	1.27	2.24	1.79
Good	2.53	1.51	1.12	0.03
Good	0.89	0.68	1.04	1.89
Poor	1.43	2.35	2.58	2.92
Poor	2.93	1.96	2.47	1.03
Poor	0.45	2.13	2.41	2.64
Poor	0.02	2.01	1.81	2.65
Poor	1.61	2.69	0.81	1.68
Good	0.22	0.22	1.3	0.22
Good	2.6	1.47	1.53	0.57
Poor	1.52	2.55	1.62	1.47
Poor	2.04	1.29	2.82	0.92
Poor	2.49	2.82	1.76	1.95
Good	2.61	1.44	0.72	2.58
Good	0.68	1.73	0.19	2.61
Poor	1.43	2.27	1.99	1.66
Poor	1.35	2.26	2.72	1.13
Poor	2.33	2.81	1.24	1.93
Good	0.23	1.49	1.16	1.39
Good	0.94	0.56	1.1	1.5
Good	1.43	1.51	2.31	2.44
Good	2.2	1.21	1.6	0.87
Poor	0.96	2.26	0.71	0.09
Good	0.51	1.66	0.92	1.89
Good	0.34	0.21	1.54	2.1
Good	1.34	0.24	0.2	0.21
Good	0.31	0.93	0.49	1.73
Good	2.89	0.87	1.14	2.21
Poor	0.26	2.99	2.1	2.64
Good	2.92	1.17	0.1	0.56
Poor	2.87	2.22	1.57	1.39
Poor	0.86	2.8	1.7	2.57
Good	1.82	1.48	0.51	1.82
Poor	1.5	0.29	2.84	0.71
Poor	1.22	2.48	0.69	2.18
Good	2.57	1.13	1.85	1.67
Poor	1.98	2.52	2.73	0.71
Good	0.52	1.92	1.93	1.89
Good	1.89	0.44	1.02	2.94
Good	2.82	0.2	0.17	2.12
Good	1.43	1.87	2.14	0.38
Poor	0.47	2.62	1.18	1.22
Good	2.48	1.62	1.19	0.37
Good	0.35	0.04	0.55	1.62
Poor	0.46	2.64	0.03	2.12
Poor	2.67	1.2	2.82	2.15
Good	1.43	0.38	1.07	1.37
Poor	2.08	2.15	2.33	1.81
Good	0.5	1.82	1.45	1.3
Good	2.73	0.42	1.27	1.11
Good	2.74	0.89	0.04	1.76
Poor	2.73	1.97	0.73	2.83
Good	2.55	0.77	0.31	2.06
Poor	0.76	2.17	1.6	0.02
Good	0.71	1.07	0.31	1.36
Poor	2.8	2.63	1.06	2
Good	2.68	0.55	0.68	2.25
Poor	2.78	2.95	1.05	2.18
Poor	1.76	2.42	0.48	1.97
Good	2.72	1.81	1.69	1.6
Good	2.89	0.53	1.42	0.01
Good	2.37	0.56	0.36	2.75
Good	0.43	1.28	0.94	2.63
Good	1.91	0.24	0.73	0.12
Poor	0.21	1.16	2.81	0.11
Good	1.1	1.42	1.65	0.15
Good	2.29	1.34	1.87	2.32
Poor	1.32	2.67	0.14	0.88
Good	0.11	0.63	0.34	2.38
Good	1.3	0.06	1.66	0.42
Poor	2.91	2.35	1.08	0.37
Poor	1.87	2.6	0.13	2.59
Poor	0.12	2.16	0.34	0.75
Poor	2.43	2.34	1.09	2.05
Good	2.08	0.72	1.91	2.77
Good	2.91	0.61	2.17	1.68
Good	2.12	1.44	2.07	1.91
Good	0.24	0.74	2.24	0.04
Good	1.52	0.13	0.17	1.85
Good	1.61	1.89	1.22	1.39
Good	0.29	1.2	1.8	2.73
Good	1.19	1.02	2.04	1.04
Poor	0.35	1.98	2.41	2.79
Poor	1.87	1.64	2.68	2.25
Good	1.13	0.16	2.41	0.49
Good	1.93	0.15	1.76	2.5
Good	0.52	0.91	0.06	0.3
Good	1.77	1	0.89	1.48
Good	0.96	1.1	1.41	0.55
Good	2.04	0.71	0.19	1.63
Poor	0.68	0.5	2.95	2.7
Good	2.58	0.98	2.34	2.39
Poor	0.29	2.42	1.79	2.93
Good	1.11	0.56	1.92	0.85
Good	2.22	0.09	0.09	2.97
Good	1.85	1.1	0.02	1.33
Good	1.49	1.9	1.04	0.76
Good	1.89	1.38	0.85	1.69
Poor	2.08	2.35	1.78	2.06
Good	0.6	0.34	1.86	2.18
Good	2.92	0.55	0.53	0.8
Good	0.85	0.71	1.46	0.03
Poor	1.11	2.87	1.49	0.69
Good	2.12	1.58	1.66	0.23
Good	1.86	1.55	0.44	1.79
Good	0.77	0.17	1.74	1.51
Poor	2.14	2.71	0.91	1.99
Poor	1.91	2.08	2.59	1.19
Good	0.19	0.66	1.17	2.67
Good	0.29	0.36	0.69	1.67
Poor	0.93	2.73	2.89	1.14
Poor	2.24	2.22	0.57	1.24
Poor	1.4	2.58	1.81	2.14
Poor	0.35	2.75	0.51	0.99
Poor	0.29	2.77	0.45	0.42
Poor	0.44	2.07	2.42	1.47
Good	2.04	0.58	1.87	2.9
Good	2.16	1.28	0.2	2.74
Good	1.37	1.16	0.35	2.06
Poor	2.53	2.37	0.68	1.54
Good	1.56	0.65	0.38	2.36
Poor	2.25	2.13	1.62	1.18
Poor	0.35	0.51	2.95	0.38
Good	2.21	1.9	1.86	2.49
Good	0.55	0.9	1.44	0.77
Poor	2.04	2.38	2	0.09
Poor	0.46	2.41	0.87	0.78
Good	1.62	1.17	2.03	2.17
Good	1.34	1.21	1.95	0.62
Good	1.43	1.19	1.01	1.88
Good	2.99	0.21	1.33	1.43
Good	0.99	1.85	2.38	2.32
Poor	0.91	1.4	2.73	0.4
Poor	0.1	2.78	2.77	0.21
Poor	0.33	2.52	0.51	1.83
Good	2.83	0.92	1.75	1.89
Poor	1.81	2.97	1.17	0.5
Good	0.52	1.53	0.99	0.24
Good	2.24	0.01	0.4	1.89
Good	1.06	0.03	0.17	2.26
Good	2.7	0.97	0.28	1.81
Poor	0.39	2.59	1.03	2.66
Good	0.21	1.15	0.61	0.34
Poor	2.8	2.1	2.74	1.01
Poor	2.49	2.93	0.68	0.24
Good	0.59	0.41	0.62	2.29
Good	1.62	1.26	2.4	0.58
Good	1.09	1.39	1.83	0.48
Good	1	0.2	0.97	0.95
Good	0.63	1.52	1.77	2.98
Poor	2.44	2.05	2.66	1.28
Good	0.38	1.24	2.07	0.51
Poor	1.07	2.66	2.68	0.03
Good	0.58	1.2	0.94	1.72
Good	0.14	1.84	1.24	1.01
Good	0.23	0.02	1.07	2.5
Good	0.24	0.12	1.5	0.83
Good	0.51	0.65	2.49	1.89
Good	2.72	0.54	2.47	0.81
Good	1.24	1.27	2.34	1.02
Poor	2.43	0.49	2.85	1.74
Poor	2.47	2.64	2.31	2.39
Poor	1.68	2.51	1.99	1.66
Good	2.52	0.47	2.48	0.77
Good	2.41	1.12	0.24	2.48
Good	0.38	0.65	0.51	0.44
Poor	2.93	2.26	0.52	2.76
Good	0.31	0.08	0.11	2.86
Good	2.73	1.73	0.58	1.48
Good	2.15	1.53	2.17	1.92
Good	0.98	1.81	0.5	2.29
Poor	2.62	2.74	2.11	0.8
Good	1.54	0.77	1.11	0.02
Poor	1.95	2.39	2.06	2.84
Poor	2.24	2	2.71	0.89
Poor	0.27	2.13	1.48	1.62
Good	2.5	1.36	0.48	2.22
Good	1.01	1.6	2.37	2.54
Good	2.55	1.45	0.4	0.42
Good	1.06	1.73	1.8	1.76
Good	0.44	0.18	1.28	0.78
Good	0.68	1.89	0.8	2.64
Poor	2.84	1.26	2.73	0.79
Good	1.38	1.82	1.03	0.35
Poor	0.01	0.79	2.79	0.51
Poor	0.96	2.92	2.64	0.18
Good	0.24	1.02	1.23	1.29
Poor	2.45	2.06	1.8	0.98
Poor	0.71	0.79	2.61	1.97
Poor	2.93	2.35	2.58	0.06
Good	0.1	0.39	1.46	2.14
Good	2.35	0.1	0.02	2.62
Poor	1.52	1.86	2.72	0.62
Poor	0.4	0.95	2.98	1.75
Poor	0.82	2.51	0.41	1.9
Good	0.8	1.22	2.18	1.87
Poor	1.05	2.41	1.58	0.59
Good	2.71	1.06	0.38	0.25
Poor	2.71	2.89	0.46	1.33
Good	2.39	0.29	0.59	0.91
Good	1.49	1.01	1.13	0.35
Good	2.41	1.41	0.54	0.26
Poor	1.76	2.45	1.92	0.92
Good	0.67	1.68	2.12	2.43
Good	1.63	1.84	2	1.71
Poor	0.22	2.75	1.01	0.32
Good	1.66	1.38	1.47	0.08
Poor	1.19	2.38	1.83	0.58
Good	1.97	1.17	0.58	1.58
Good	1.53	1.57	0.91	2.06
Good	2.43	0.07	2.09	0.83
Poor	2.2	1.97	1.98	0.7
Good	1.74	0.54	0.65	1.14
Good	0.79	1.3	0.34	2.16
Poor	2.61	2.05	2.56	1.13
Good	2.92	1.18	1.03	1.32
Poor	1.06	2.51	1.66	0.06
Good	0.66	1.42	1.56	2.37
Good	1.66	1.12	1.18	1.98
Poor	1.07	2.32	1.63	1.79
Good	2.16	1.19	2.07	2.54
Good	1.25	0.98	1.26	2.79
Poor	2.6	1.68	2.67	0.86
Good	2.84	1.93	0.93	2.74
Good	2.27	1.79	1.28	1.14
Poor	0.86	2.06	1.7	2.09
Good	0.03	1.15	0.14	0.53
Good	0.46	1.16	1.26	0.55
Good	0.43	1.33	0.46	2.52
Good	2.29	1.38	1.07	0.01
Good	1	0.25	2.51	1.09
Good	0.28	1.56	0.84	0.68
Poor	0.64	1.5	2.77	0.83
Good	2.88	0.83	1.94	2.2
Poor	0.27	2.68	2.42	0.28
Poor	0.05	1.73	3	2.31
Poor	1.14	2.23	0.06	2.93
Good	2.93	0.17	1.34	1.01
Good	2.61	1.4	2.34	1.78
Good	1.39	0.12	1.24	2.95
Good	1.21	0.21	1.11	0.81
Poor	1.37	2.67	0.51	2.51
Poor	1.42	2.02	2.87	2.79
Poor	2.15	2.36	0.61	0.29
Good	2.96	0.48	0.81	1.31
Poor	1.91	0.71	2.82	0.45
Poor	1.03	2.16	2.89	1.49
Poor	2	2.93	2.4	0.23
Poor	0.56	1.82	2.94	0.08
Poor	0.34	2.32	1.38	1.64
Poor	0.15	2.58	1.15	2.81
Good	1.21	0.66	1.25	1.53
Good	0.4	0.79	2.46	1.62
Good	0.18	1.61	2	2.57
Good	1.94	1.53	1.32	2.79
Good	0.41	0.59	1.51	2.96
Poor	0.37	2.31	2.78	0.42
Poor	2.34	2.5	2.67	1.46
Poor	0.37	2.91	1.86	2.26
Good	2.85	1.1	0.26	2.1
Poor	1.1	2.52	2.39	0.11
Poor	2.34	1.52	2.74	1.42
Poor	1.2	2.51	0.72	0.28
Poor	2.12	2.8	1.68	2.43
Good	1.73	0.43	1.15	1.48
Good	1.91	0.17	0.86	1.16
Poor	1.37	2.87	1.53	0.16
Poor	2.89	2.19	2.08	2.65
Good	0.41	0.43	2.15	2.46
Good	0.52	0.67	1.04	2.35
Poor	0.6	2.97	0.5	2.95
Poor	1.37	2.17	1.13	1.71
Good	0.12	1.24	2.3	1.55
Poor	1.32	2.65	0.18	0.11
Poor	1.59	2.16	0.66	0.76
Good	1.86	0.67	1.59	1.24
Good	1.07	1.43	1.72	2.51
Good	1.4	0.47	0.86	1.94
Poor	1.08	2.06	2.18	0.04
Good	2.59	0.05	0.99	2.58
Good	2.32	0.19	0.46	0.14
Good	0.39	0.54	0.68	2.1
Good	2.4	0.71	2.33	2.53
Good	0.05	0.95	1.04	0.3
Good	0.52	1.53	2.15	0.11
Good	1.68	0.39	0.28	2.27
Good	0.57	0.5	2.07	2.9
Good	0.87	1.04	2.11	0.19
Good	2.37	0.75	0.49	1.21
Good	2.71	1.15	1.63	2.52
Good	1.65	0.65	1.98	0.72
Poor	1.93	2.37	2.12	2.01
Poor	1.13	1.99	2.84	2.22
Good	1.64	1.06	1.08	1.57
Poor	0.28	2.91	2.56	1.91
Good	2.49	0.52	1.39	2.8
Good	1.57	1.7	2.36	1.04
Poor	1.47	2.1	0.96	1.48
Poor	2.04	2.38	2.32	2.27
Poor	1.66	2.68	0.85	1.79
Poor	0.56	2.9	2.8	2.98
Good	1.69	0.16	1.86	0.6
Good	0.31	0.97	0.32	1.9
Poor	2.93	2.46	2.5	2.73
Poor	1.91	2.09	1.28	2.27
Poor	0.52	2.68	2.09	2.36
Good	2.15	0.29	0.31	2.65
Poor	1.14	2.71	0.75	1.41
Poor	1.3	0.83	2.64	2.22
Good	0.24	1.23	0.56	1.86
Poor	0.45	2.73	1.99	2.74
Poor	0.96	2.74	0.37	1.97
Good	2.57	1.67	2.33	0.75
Good	0.77	0.62	1.54	0.54
Poor	2.27	2.94	2.15	0.63
Good	0.77	1.68	0.69	2.4
Good	2.37	1.59	0.85	2.4
Poor	1.76	2.85	0.25	2.31
Poor	1.74	2.18	0.71	2.89
Poor	2.85	2.55	0.49	1.54
Poor	2.27	2.5	0.97	0.16
Good	0.48	1.07	1.05	1.43
Good	1.22	1.1	0.82	1.84
Poor	0.32	2.26	2.01	2.94
Good	1.43	0.61	0.55	2.01
Good	0.7	0.84	2.21	0.01
Poor	2.76	2.84	2.4	0.1
Poor	2.36	0.02	2.94	0.17
Poor	0.04	2.28	1.06	1.61
Poor	2.52	2.91	1.26	0.62
Poor	2.36	1.99	0.9	0.16
Poor	1.72	0.33	2.83	2.72
Poor	1.42	2.35	0.98	1.08
Good	2.31	0.91	1.85	1
Good	1.73	1.92	1.16	0.38
Poor	0.57	2.61	0.56	1.81
Poor	0.17	0.12	2.81	2.33
Poor	1.86	0.37	2.73	0.52
Good	0.6	0.7	0.69	2.4
Good	1.99	0.92	1.89	0.05
Good	2.08	1.92	0.41	1.67
Good	1.19	1.11	2.17	0.57
Poor	2.04	2.16	1.63	2.66
Poor	0.87	2.2	1.24	2.77
Good	1.9	0.35	0.48	0.65
Good	2.73	0.92	2.3	1.62
Good	1.52	1.84	1.43	0.97
Poor	1.76	2.79	2.46	1.86
Good	2.1	1.86	0.82	0.23
Poor	2.58	3	2.41	2.14
Poor	0.19	2.42	0.57	2.32
Poor	0.14	2.69	3	1.08
Good	0.01	0.69	1.65	0.49
Poor	1.48	1.67	2.97	2.82
Good	2.45	1.09	0.75	2.99
Good	1.63	0.67	0.63	2.11
Poor	0.08	2.13	2.05	0.53
Poor	1.37	2.28	0.54	1.28
Poor	1.17	0.1	2.69	1.56
Poor	2.63	2.8	0.33	1.09
Poor	1.18	2.26	0.54	0.67
Poor	0.8	2.58	1.55	0.82
Good	2.23	0.06	2.38	2.38
Good	2.93	0.56	1.2	2.61
Good	2.47	1.87	2.23	1.06
Poor	2.33	2.56	2.4	1.38
Poor	2.2	2.41	0.36	2.24
Good	1.94	0.42	1.87	1.59
Poor	0.26	1.83	2.66	0.05
Good	1.69	0.62	0.22	0.81
Good	1.55	0.33	1.72	0.9
Good	1.71	1.81	0.28	0.8
Poor	0.9	2.71	1.08	0.58
Good	0.76	1.51	0.55	1.27
Good	2.81	1.19	0.81	2.12
Good	2.9	1.7	1.26	0.47
Good	0.47	1.21	0.08	1.16
Good	0.88	1.26	2.46	1.24
Good	0.52	1.06	1.93	1.07
Poor	0.5	2.36	1.93	1.76
Poor	1.26	2.09	2.09	1.21
Poor	0.64	2.48	1.74	2.81
Poor	2.93	2.79	2.19	2.23
Good	2.42	1.3	2.29	1.53
Poor	0.94	0.4	2.87	2.71
Poor	0.49	1.3	2.92	2.75
Good	0.03	0.25	2.09	2.38
Poor	2.64	2.79	1.05	2.97
Poor	1.44	2.78	2.19	1.69
Poor	0.53	2.58	1.4	2.54
Good	0.97	0.88	0.76	2.94
Poor	0.83	2.2	1.36	0.68
Poor	0.19	2.28	2.8	1.53
Good	0.83	0.26	0.6	1.09
Poor	2.46	2.01	1.08	2.5
Good	0.82	0.37	2.26	1.77
Good	2.14	0.58	1.7	0.96
Good	2.61	0.82	0.27	1.37
Good	0.55	1.16	0.01	2.37
Poor	0.11	2.94	0.1	2.83
Good	2.17	0.37	1.27	1.62
Poor	1.63	2.66	2.89	0.01
Good	1.45	1.44	0.44	0.15
Poor	0.34	0.92	2.63	0.89
Good	0.46	1.86	0.44	2.35
Poor	2.78	2.87	1.61	1.62
Good	1.08	1	1.54	2.6
Good	1.03	1.12	0.26	1
Good	2.66	1.5	0.98	0.61
Good	0.76	0.58	0.37	2.54
Good	1.84	1.66	0.29	0.18
Good	0.66	0.56	1.99	0.42
Poor	0.81	2.95	0.25	1.37
Poor	2.89	0.16	2.77	0.12
Good	2.92	1.17	2.05	0.12
Good	1.4	0.74	1.44	0.62
Poor	1.08	2.44	0.85	1.38
Poor	0.06	2.23	2.28	2.95
Good	1.64	1.03	1.47	1.09
Good	0.13	0.46	0.13	0.47
Poor	0.93	1.12	2.97	0.73
Poor	0.32	2.07	2.5	1.05
Poor	1.4	0.79	2.97	1.14
Good	0.55	0.07	1.8	0.42
Poor	1.36	2.95	2.66	1.37
Good	1.51	0.44	1.16	0.23
Good	2.81	1.91	0.65	1.24
Poor	1.99	1.14	2.95	1.92
Good	1.65	0.71	0.17	1.61
Poor	0.67	2.83	2.04	2.7
Good	0.4	1.56	0.15	2.03
Good	1.17	0.94	1.95	1.19
Good	2.44	1.5	0.77	1.61
Poor	1.4	2.03	2.82	2.67
Good	0.23	0.29	1.94	2.46
Good	1.69	0.63	1.65	1.42
Good	1.21	0.01	0.64	1.02
Good	1.67	0.59	0.38	2.17
Good	1.17	1.31	2.14	1.19
Poor	2.21	2.41	2.84	1.66
Good	1.86	1.34	0.46	2.43
Poor	0.83	2.8	0.94	0.45
Good	2.17	1.76	2.32	0.38
Poor	0.77	0.42	2.66	1.43
Good	1.84	1.22	1.12	0.35
Good	0.48	1.24	0.88	2.51
Poor	0.33	2.54	1.72	2.8
Good	1.93	0.27	0.13	2.16
Poor	1.01	2.25	2.88	1.88
Poor	2.74	2.4	0.4	0.15
Poor	0.69	1.27	2.8	1.11
Good	0.51	0.52	0.52	0.1
Good	1.28	1.15	2.14	2.69
Poor	1.97	1	2.91	0.72
Poor	0.37	0.3	2.58	0.26
Good	2.55	1.05	2.03	0.08
Good	0.71	0.34	2.52	2.15
Good	0.6	1.66	2.39	2.79
Good	2.94	1.95	0.55	1.33
Good	2.43	0.28	2.42	1.88
Good	0.85	1.88	1.62	1.34
Poor	2.11	1.69	2.76	1.54
Poor	1.59	2.32	1.58	2.67
Good	2.37	1.2	1.83	2.7
Poor	1.9	2.94	0.11	2.76
Good	0.75	1.12	0.13	0.33
Poor	1.65	2.1	0.47	0.19
Poor	1.99	1.97	2.56	1.33
Good	0.01	1.8	0.58	1.34
Good	0.83	0.66	1.67	2.73
Good	0.77	1.54	0.82	1.45
Good	0.11	1.25	1.81	1.77
Good	1.91	0.96	1.04	0.39
Poor	2.79	2.65	0.29	0.75
Good	1.3	0.32	0.03	1.55
Good	1.1	0.17	2.13	0.12
Good	2.79	1.4	0.51	0.4
Poor	2.3	2.24	2.26	1.93
Good	0.54	1.63	2.16	0.79
Poor	1.79	2.1	2.75	0.56
Good	0.6	1.57	2.34	1.59
Poor	2.84	2.9	0.31	0.5
Good	0.92	0.96	1.72	0.06
Poor	0.51	0.58	2.73	0.86
Poor	2.45	2.64	1.06	1.17
Good	2.76	1.19	1.68	2.71
Good	0.05	1.44	0.79	1.57
Good	0.16	0.35	0.02	0.31
Poor	1.26	2.08	2.74	0.12
Good	2	1.72	2.01	1.02
Poor	1.71	2.78	0.94	2.76
Poor	0.21	2.34	1.96	0.4
Good	2.31	0.27	1.06	2.22
Good	1.66	0.04	0.51	2.77
Poor	1.1	2.63	2.83	0.85
Poor	2.74	2.72	0.9	0.44
Poor	0.89	2.7	2.73	2.24
Good	0.23	0.45	1.36	0.21
Poor	0.88	2.3	2.87	0.64
Poor	2.08	2.15	2.25	2.64
Good	2.83	0.95	1.96	0.04
Good	1.28	1.9	0.71	2.6
Poor	2.99	2.57	1.11	2.87
Poor	0.14	2.64	0.25	0.04
Good	2.91	1.46	0.2	2.02
Poor	1.18	2.69	1.14	2.86
Poor	2.8	2.41	0.84	2.83
Poor	2.08	2.23	1.77	0.59
Good	2.09	0.28	0.89	2.91
Poor	0.35	1.21	2.62	2.47
Poor	0.3	2.36	2.21	2.73
Good	0.07	1.9	1.97	0.46
Good	2.9	0.3	0.82	1.58
Good	0.44	0.79	1.23	0.68
Good	1.93	0.12	0.34	2.41
Poor	2.91	2.07	2.55	1.33
Good	1.29	0.5	0.42	2.83
Poor	1.65	2.8	1.44	1.3
Poor	1.99	2.61	1.87	1.62
Good	0.83	0.2	1.65	0.58
Good	0.45	0.75	1.43	0.89
Poor	1.81	2.3	2.01	0.11
Poor	0.61	2.96	2.96	0.25
Good	0.25	0.97	0.74	2.91
Poor	2.17	1.97	1.24	1.18
Poor	0.51	0.15	2.78	2.32
Good	0.65	0.97	1.42	2.03
Good	1.84	0.75	0.2	2.85
Poor	2.52	0.91	2.94	0.5
Good	0.42	0.82	0.51	1.98
Good	2.93	0.01	1.15	1.11
Good	1.88	1.87	2.06	2.19
Poor	2.83	2.05	2.72	0.5
Poor	0.24	0.99	2.94	0.82
Poor	2.63	2.06	1.81	0.19
Good	2.73	1.92	0.32	1.74
Poor	0.82	2.12	2.76	0.75
Good	0.86	1.18	1.81	0.87
Poor	0.38	1.98	3	1.49
Good	0.52	1.74	0.36	2.75
Good	1.57	1.24	1.43	2.53
Poor	0.6	1.05	2.65	1
Poor	0.94	0.45	2.87	2.58
Poor	2.42	0.02	2.78	1.01
Poor	0.99	2.6	2.17	1.39
Poor	1.95	2.46	0.9	1.85
Good	1.08	1.92	1.41	2.7
Poor	1.12	2.62	1.24	1.17
Poor	0.58	0.41	2.59	2.92
Good	1.02	0.39	0.19	1.86
Good	1.66	1.32	1.55	1.67
Good	1.28	0.58	0.61	1.14
Poor	2.54	2.08	2.51	2.79
Poor	2.9	2.67	1.74	1.39
Good	2.12	0.31	2.04	0.49
Good	0.56	1.69	0.39	1.35
Poor	1.45	0.56	2.7	2.07
Good	2.85	0.72	1.36	2.88
Good	1.24	1.26	0.79	0.82
Good	0.13	0.94	2.02	2.88
Good	0.8	1.43	1.29	0.11
Good	2.07	0.6	1.58	0.58
Poor	2.35	2.79	1.86	0.78
Good	2.48	0.02	1.77	1.84
Good	1.54	1.37	0.2	0.39
Good	1.62	0.81	0.85	0.92
Good	1.34	1.22	0.34	0.51
Good	2.63	0.58	0.48	2.35
Poor	1.28	1.6	2.97	0.78
Good	2.38	1.43	1.08	2.13
Good	1.08	0.03	0.68	1.73
Good	2.91	0.99	0.1	1.77
Good	2.09	0.68	1.85	2.46
Good	2.59	0.86	0.38	1.75
Poor	2.09	2.2	0.28	0.52
Good	2.51	1.18	2.21	0.59
Poor	0.86	0.84	2.91	1.45
Good	2.08	0.81	1.89	0.4
Good	1.82	1.01	1.76	2.79
Poor	0.01	2.32	2.19	1.61
Good	0.96	0.68	1.31	1.71
Poor	0.44	2.4	1.57	2.26
Poor	0.39	1.98	0.95	1.9
Poor	1.59	2.96	1.84	1.18
Poor	0.77	0.28	2.94	0.67
Poor	0.81	0.23	2.79	1
Poor	0.97	1.73	2.8	1.73
Good	2.65	0.42	1.78	2.93
Poor	1.74	2.33	1.84	1.56
Good	1.31	1.48	1.34	2.21
Good	2.51	0.94	1.92	0.35
Good	0.41	1.18	2.42	2.25
Good	1.29	1.77	0.94	2.8
Good	1.16	1.77	0.76	1.22
Good	0.22	1.16	1.89	0.66
Poor	1.96	2.05	1.12	2.92
Poor	1.1	1.77	2.69	1.23
Poor	0.67	1.29	2.8	0.53
Poor	0.76	2.65	2.89	2.6
Good	0.9	0.61	0.71	0.73
Good	0.07	0.02	1.21	1.23
Good	2.29	1.72	2.24	0.77
Poor	0.19	2.75	0.37	0.24
Poor	2.57	2.82	2.14	1.78
Good	1.69	1.55	0	0.48
Poor	0.71	2.88	2.49	1.13
Good	0.9	1.02	2.42	2.18
Poor	2.41	2.92	2.31	0.65
Good	2.67	0.83	1.11	1.96
Good	0.34	0.25	2.4	2.23
Good	0.93	1.39	1.38	1.09
Good	2.34	1.96	0.71	0.01
Good	1.71	1.17	1.9	2.8
Poor	0.15	1.11	2.98	2.22
Poor	1.05	1.98	1.15	2.5
Poor	2.05	2	1.92	0.19
Good	1.36	1.58	0.15	1.42
Good	2.13	1.66	0.48	1.54
Poor	0.5	2.31	1.04	1.81
Poor	1.77	0.32	2.91	2.72
Good	0.02	0.63	2.29	2.39
Poor	0.13	2.04	0.16	1.22
Poor	2.31	2.42	1.95	2.98
Poor	0.76	2.3	2.84	1.93
Poor	1.13	1.68	2.59	0.06
Poor	0.5	1.16	2.66	1.35
Poor	2.93	1.9	2.61	2.89
Poor	2.5	2.15	0.5	1.01
Poor	1.95	1.77	2.96	0.45
Poor	1.33	2.8	0.51	1.35
Poor	0.58	0.49	2.76	2.39
Poor	2.1	2.17	1.54	2.41
Poor	0.78	0.23	2.66	1.82
Poor	1.97	2.42	1.98	0.25
Good	2.95	0.74	1.31	2.91
Good	1.91	0.51	0.49	1.96
Good	2.01	0.27	1.48	2.42
Good	2.84	0.43	1.19	1.31
Good	2.11	1.08	0	0.55
Poor	0.05	2.18	0.8	2.6
Good	0.15	1.23	2.13	0.38
Poor	1.96	2.12	2.8	1.55
Poor	0.48	0.69	2.86	1.47
Poor	0.3	2.9	2.6	0.59
Poor	0.69	2.98	1.96	1.09
Poor	1.82	2.54	1.99	1.77
Good	2.56	1.46	1.19	2.4
Good	1.22	1.32	0.46	1.88
Poor	0.11	2.4	2.82	2.21
Good	0.26	1.04	1.84	2
Poor	1.39	0.04	2.78	2.8
Good	2.08	0.31	1.64	1.96
Good	2.4	0.78	1.07	2.85
Good	0.19	1.62	1.47	1.81
Good	0.63	0.81	0.69	1.61
Good	2.06	1.87	1.33	2.06
Good	2.08	1.57	1.13	1
Good	1.85	0.42	2.18	1.77
Good	2.05	0.8	0.03	2.9
Good	2.18	0.58	0.48	0.99
Poor	1.66	0.64	2.62	0.32
Good	0.65	1.67	1.98	1.89
Good	1.83	0.5	1.66	0.57
Good	1.16	1.05	2.48	2.94
Poor	0.58	2.57	1.51	0.18
Good	1	0.57	0.24	1.29
Poor	1.85	2.8	0.63	1.72
Good	1.67	0.88	2.07	1.52
Good	0.62	0.58	1.04	2.02
Good	0.63	0.81	2.28	1.64
Poor	2.8	2.78	0.23	2.22
Good	1.48	0.08	2.37	2.63
Good	1.14	1.76	1.98	0.74
Poor	2.38	1.4	2.81	1.39
Poor	0.66	1.92	2.69	0.66
Poor	2.07	2.89	2.48	1.75
Good	0.98	1.35	0.57	1.5
Good	2.92	0.8	2.32	1.19
Poor	1.81	2.79	0.31	1.71
Good	0.71	0.95	1.44	2.1
Good	2.98	1.71	2.47	2.9
Poor	2.2	2.81	2.91	0.6
Poor	2.68	1.71	2.81	1.88
Poor	1.82	2.12	1.09	2.13
Good	2.83	1.19	0.54	2.67
Poor	1.87	2.35	1.77	0.11
Poor	1.72	2.12	2.62	0.58
Good	1.54	0.37	0.58	2.47
Poor	2.08	2.22	1.19	2.4
Poor	0.82	2.54	2.74	0.8
Poor	0.52	1.26	2.67	0.3
Good	0.92	1.79	0.02	2.71
Poor	2.63	2.73	0.44	1.27
Poor	2.87	2.6	0.85	0.39
Good	2.39	0.82	1.84	1.02
Poor	1.64	2.62	2.24	0.25
Poor	0.7	2.95	1.69	0.47
Poor	1.73	0.69	2.6	0.93
Poor	0.63	2.47	0.08	1.53
Good	0.65	1.85	1.84	0.1
Poor	2.64	2.23	1.44	2.39
Poor	0.34	0.31	3	1.32
Poor	1.57	2.09	1.81	1.69
Poor	0.19	0.34	2.97	0.97
Good	1.11	0.26	1.5	0.09
Good	2.67	0.4	0.57	0.45
Good	0.25	1.17	2.48	0.96
Good	0.17	0.7	1.94	1.9
Good	1.83	1.45	0.67	2.39
Good	0.95	1.69	2.21	2.42
Good	0.42	1.29	0.15	2.72
Good	1.67	1.44	1.42	2.26
Good	2.28	1.61	0.59	0.47
Good	1.19	1.28	0.81	2.05
Poor	1.51	2.49	1.49	0.72
Good	2.46	0.39	0.85	0.61
Poor	0.52	2.57	0.44	2.44
Poor	0.73	2.58	2.8	2.46
Poor	0.28	1.17	2.89	2.73
Poor	1.45	1.46	2.59	1.63
Poor	1.86	2.21	1.02	0.38
Good	1.85	1.95	1.7	2.78
Poor	2.54	0.13	2.94	0.65
Good	2.35	1.42	0.68	2.56
Good	1.35	1.59	2.32	1.67
Good	1.35	1.05	1.81	2.2
Good	2.34	0.95	1.68	0.52
Poor	2.61	1.06	2.97	0.18
Poor	2.14	2.8	2.56	0.23
Good	2.64	1.4	0.05	2.22
Good	2.87	1.73	1.73	0.64
Good	1.42	1.45	0.9	1.35
Good	0.73	0.75	0.87	1.67
Good	1.92	0.71	0.52	0.96
Good	0.19	0.55	1.16	2.27
Good	2.4	1.84	1.94	2.19
Good	0.76	1.41	0.94	2.46
Poor	0.19	2.84	1.43	1.23
Good	1.33	1.68	2.49	0.41
Good	1.91	1.1	0.61	0.7
Good	0.87	0.78	1.54	2.73
Good	0.59	1.3	1.96	0.94
Good	1.1	0.37	0.13	0.02
Poor	0.44	2.65	2.19	2.89
Poor	2.62	2.94	2.93	1.72
Poor	1.25	2.2	1.9	0.8
Poor	1.92	2.14	1.76	2.96
Good	1.72	1.25	0.1	1.98
Good	0.68	1.54	1.34	1.83
Good	1.36	0.1	1.57	2.95
Good	0.59	0.18	0.24	1.7
Good	1.48	1.75	0.67	1.18
Poor	1.85	2.36	0.56	1.61
Good	1.19	0.37	1.92	0.27
Good	2.71	1.3	0.21	1.46
Poor	2.52	2.5	0.12	0.43
Poor	2.66	2.83	0.88	0.88
Poor	0.18	2.85	1.94	0.63
Poor	0.91	2.85	1.17	0.04
Good	1.81	1.52	0.38	1.51
Good	2.54	1.21	1.22	1.05
Good	1.02	0.77	1.63	0.61
Good	1.47	1.61	1.32	2.42
Poor	1.55	2.03	1.33	1.74
Good	0.15	1.37	0.77	2.43
Good	1.21	1.92	0.49	1.67
Poor	1.16	0.08	2.9	0.88
Poor	1.64	2.53	0.89	2.21
Poor	1.84	2.36	0.6	1.73
Good	0.18	0.8	1.9	1.01
Good	1.48	0.05	1.51	2.21
Good	2.14	0.23	1.98	1.64
Good	0.67	1.03	0.94	1.25
Good	2.07	1.02	1.14	1.8
Good	2.67	1.08	0.92	2.86
Good	1.1	1.69	1.4	0.4
Poor	2.53	0.45	2.98	1.82
Good	0.46	1.06	0.62	0.9
Good	1.39	0.63	0.27	0.23
Poor	1.93	0.03	2.76	1.91
Good	0.98	1.57	0.35	1.28
Good	0.28	1.09	0.57	1.01
Good	1.59	1.84	1.94	1.48
Poor	1.44	1.51	3	0.43
Good	1.15	0.36	1.62	2.07
Poor	2.79	2.6	2.1	1.6
Good	1.48	0.31	2.44	0.78
Poor	1.06	2.92	0.02	1.92
Good	1.01	0.95	0.51	1.42
Poor	1.5	0.89	2.8	1.71
Good	1.63	0.26	1.69	1.94
Poor	2.95	2.77	1.39	2.14
Poor	2.81	2.27	0.1	2.86
Poor	1.2	2.88	0.54	2.29
Poor	0.78	2.42	2.48	0.26
Good	0.62	0.93	1.09	2.28
Good	2.89	0.61	1.15	0.7
Good	0.32	0.91	2.01	2.04
Good	1.53	0.39	0.84	0.47
Good	1.86	0.2	0.08	1.03
Good	2.86	0.47	1.63	2.01
Poor	1.51	2.1	1.8	1.22
Poor	1.02	2.86	2.54	1.78
Good	2	0.01	1.01	0.32
Poor	0.05	2.01	1.32	0.21
Poor	2.26	1.16	2.67	1.94
Poor	0.56	2.19	1.34	0.42
Poor	2.94	2.98	0.79	0.44
Good	0.4	1.86	0.84	1.22
Poor	0.36	2.31	0.35	1.49
Good	1.47	1.13	1.97	0.05
Poor	0.91	2.23	1.72	0.39
Good	0.38	1.82	2.46	1.13
Poor	1.84	1.22	2.98	2.28
Good	1.01	1.09	1.08	0.36
Good	1.05	1.84	2.46	2.52
Poor	0.03	2.27	2.47	1.07
Good	2.31	0.8	0.76	2.14
Good	2.89	0.84	1.09	2.05
Poor	1.71	0.51	2.73	2.31
Poor	0.54	0.73	2.8	0.73
Poor	1.97	1.41	2.91	2.84
Good	2.62	1.2	1.32	0.09
Good	1.1	0.99	1.74	2.43
Poor	0.58	2.69	0.19	0.82
Good	1.72	0.42	2.01	2.7
Poor	0.61	2.43	2.13	1.54
Poor	0.32	0.89	2.72	0.16
Poor	1.98	2.05	1.41	2.14
Good	2.31	1.84	1.17	0.84
Poor	0.64	2.78	1.68	1.99
Good	1.13	0.17	2.52	2.07
Good	2.1	1.5	1.28	1.63
Good	1.46	1.79	2.27	1.96
Good	1.27	0.61	1.25	0.79
Poor	2.19	2.21	2.13	2.42
Good	2.88	1.88	0.49	1.55
Good	2.83	1.47	1.6	2.28
Poor	2.27	2.36	1.3	1.63
Good	2.83	1.42	1.32	1.71
Poor	0.65	2.97	1.98	1.35
Good	0.11	1.22	1.23	2.79
Poor	0.25	2.75	0.93	1.79
Poor	0.74	0.42	2.74	2.54
Good	2	1.93	2.52	0.87
Good	2.28	1.17	2.05	2.96
Good	1.84	0.22	2.22	0.3
Poor	0.22	2.2	1.84	2.59
Poor	2.75	2.13	0.37	1.45
Good	2.94	0.8	0.18	2.3
Poor	0.19	0.43	2.82	1.86
Poor	1.94	2.49	0.67	2.32
Poor	0.71	2.25	2.02	1.5
Good	2.95	0.46	0.29	1.6
Poor	0	2.14	1.12	1.59
Good	0.78	1.89	0.81	2.27
Poor	2.05	2.66	1.13	2.62
Poor	2.87	2.61	2.88	0.84
Poor	2.34	2.09	2.14	0.51
Poor	1.13	2	1.34	1.51
Good	2.18	0.71	1.87	0.65
Good	2.46	0.29	1.01	0.24
Poor	2.64	2.45	2.82	1.97
Poor	2.96	2.96	0.38	0.16
Good	0.31	0.19	1.83	2.3
Poor	0.46	1.81	2.74	0.84
Poor	0.67	1.1	2.96	0.26
Poor	0.52	2.58	1.96	0.97
Good	1.7	0.84	0.71	0.71
Poor	1.01	2.38	0.89	2.19
Good	1.48	0.69	1.65	2.68
Good	1.3	1.78	1.62	1.53
Good	2.23	1.82	0.16	1.59
Poor	1.82	0.28	2.79	1.34
Good	1.14	1.52	0.3	2.73
Good	2.08	1.42	0.56	2.83
Good	1.87	1.67	0.38	2.62
Good	2.77	1.47	2.54	1.33
Good	0.3	1.43	0.14	0.5
Poor	2.48	0.68	2.87	0.74
Good	0.83	1.77	1.58	2.85
Poor	2.49	2.84	0.19	2.19
Poor	1.33	2.95	0.24	0.37
Good	2.94	0.33	1.34	2.84
Poor	2.48	2.16	1.6	0.5
Poor	0.84	1.95	2.79	2.1
Good	2.55	0.89	1.11	3
Good	2.32	0.83	1.19	1.89
Good	0.48	1.39	0.77	1.73
Good	2.59	1.12	2.16	0.01
Good	0.86	1.87	1.79	2.56
Poor	2.14	2.44	2.38	1.49
Poor	1.88	1.35	2.82	2.8
Good	0.79	1.56	0.56	1.45
Good	1.03	0.52	1.39	0.33
Good	2.54	1.89	2.05	0.19
Poor	1.99	2.28	1.35	1.55
Poor	2.5	0.55	2.91	0.45
Good	1.88	1.12	1.82	0.47
Poor	0.46	2.06	2.59	2.71
Good	2.92	1.59	1.17	0.84
Poor	1.42	1.13	2.66	0.97
Good	1.79	0.47	0	2.79
Poor	2.54	2.61	0.09	2.2