adopt
structure
3
.Data
list
4
country
structure
3
.Data
integer
39
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
.Label
character
39
Africa
Belize
Bolivia
Brazil
Cambodia
Canada
Chile
China
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Greece
Guatamala
Haiti
Honduras
Hong Kong
Hungary
India
Jamaica
Japan
Lebanon
Mexico
Nicaragua
Oceania
Pakistan
Panama
Paraguay
Peru
Phillipines
Poland
Portugal
Romania
South Korea
Taiwan
Thailand
Turkey
Vietnam
class
character
1
factor
visa88
numeric
39
28
6
21
164
0
12
252
52
699
73
54
41
88
10
209
41
161
49
6
698
30
69
23
123
5
15
10
23
300
142
476
51
17
0
4942
56
75
11
1
visa91
numeric
39
41
4
51
178
59
12
263
62
527
55
50
11
122
5
324
52
244
40
25
448
39
83
17
106
11
16
9
10
177
722
417
95
10
2552
1817
55
127
6
17
visa92
structure
3
.Data
integer
39
28
33
32
5
8
27
9
11
23
29
24
22
3
35
25
26
15
16
13
19
17
31
8
1
33
4
7
7
14
18
21
2
35
6
10
20
34
30
12
.Label
character
35
104
109
115
13
139
145
15
16
176
1787
201
23
24
244
253
27
29
324
348
35
353
36
403
41
428
49
6
63
65
7
71
74
8
90
M
class
character
1
factor
class
character
1
data.frame
row.names
character
39
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
census1
structure
3
.Data
list
1
income
numeric
5000
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demand
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6/21/91
6/25/93
6/27/92
6/28/91
7/ 2/93
7/ 4/92
7/ 5/91
7/ 9/93
7/11/92
7/12/91
7/16/93
7/18/92
7/19/91
7/23/93
7/25/92
7/26/91
7/30/93
8/ 1/92
8/ 2/91
8/ 6/93
8/ 8/92
8/ 9/91
8/13/93
8/15/92
8/16/91
8/20/93
8/22/92
8/23/91
8/27/93
8/29/92
8/30/91
9/ 3/93
9/ 5/92
9/ 6/91
9/10/93
9/12/92
9/13/91
9/17/93
9/19/92
9/20/91
9/24/93
9/26/92
9/27/91
class
character
1
factor
dji
numeric
161
2730.6900000000001
2830.6900000000001
2934.6500000000001
2889.3600000000001
2909.9000000000001
2955.1999999999998
2948.27
2858.9099999999999
2913.8600000000001
2896.7800000000002
2920.79
2965.5900000000001
2912.3800000000001
2938.8600000000001
2920.1700000000001
2886.6300000000001
2913.9099999999999
3027.5
2976.7399999999998
3000.4499999999998
2965.5599999999999
2906.75
2932.4699999999998
2980.77
3016.3200000000002
2972.5
3006.2600000000002
2996.1999999999998
2968.02
3040.25
3043.5999999999999
3011.6300000000001
2985.6900000000001
3019.23
3006.04
2961.7600000000002
2983.6799999999998
3077.1500000000001
3004.9200000000001
3056.3499999999999
3045.6199999999999
2943.1999999999998
2902.73
2894.6799999999998
2886.4000000000001
2914.3600000000001
2934.48
3101.52
3201.48
3199.46
3264.98
3232.7800000000002
3223.3899999999999
3225.4000000000001
3245.9699999999998
3280.1900000000001
3267.6700000000001
3221.5999999999999
3235.9099999999999
3276.3899999999999
3231.4400000000001
3249.1100000000001
3255.3699999999999
3366.5
3324.46
3336.0900000000001
3369.4099999999999
3353.0900000000001
3386.77
3396.8800000000001
3398.6900000000001
3354.3600000000001
3285.3499999999999
3282.4099999999999
3330.29
3330.5599999999999
3331.6399999999999
3285.71
3393.7800000000002
3332.1799999999998
3328.9400000000001
3254.0999999999999
3267.6100000000001
3281.9299999999998
3305.6999999999998
3327.0500000000002
3250.3200000000002
3200.6100000000001
3136.5799999999999
3174.4099999999999
3207.6399999999999
3226.2800000000002
3240.0599999999999
3233.0300000000002
3227.3600000000001
3282.1999999999998
3288.6799999999998
3304.0799999999999
3313.27
3326.2399999999998
3301.1100000000001
3251.6700000000001
3271.1199999999999
3256.8099999999999
3310.0300000000002
3442.1399999999999
3392.4299999999998
3322.1799999999998
3370.8099999999999
3404.5799999999999
3427.8200000000002
3471.5799999999999
3439.98
3370.8099999999999
3396.48
3478.6100000000001
3413.77
3427.5500000000002
3437.1900000000001
3443.0100000000002
3492.8299999999999
3527.4299999999998
3545.1399999999999
3505.0100000000002
3494.77
3490.8899999999999
3483.9699999999998
3521.0599999999999
3528.29
3546.7399999999998
3539.4699999999998
3560.4299999999998
3569.6500000000001
3615.48
3640.6300000000001
3633.9299999999998
3621.6300000000001
3613.25
3543.1100000000001
3581.1100000000001
3584.7399999999998
3629.73
3649.3000000000002
3680.5900000000001
3643.4299999999998
3684.5100000000002
3694.0100000000002
3683.9499999999998
3704.0700000000002
3740.6700000000001
3751.5700000000002
3757.7199999999998
3754.0900000000001
3820.77
3867.1999999999998
3914.48
3945.4299999999998
3871.4200000000001
3894.7800000000002
3887.46
3838.7800000000002
sp
numeric
161
343.05000000000001
359.35000000000002
369.06
365.64999999999998
370.47000000000003
374.94999999999999
373.58999999999997
367.48000000000002
375.22000000000003
375.36000000000001
380.39999999999998
384.19999999999999
379.01999999999998
380.80000000000001
375.74000000000001
372.38999999999999
377.49000000000001
389.82999999999998
379.43000000000001
382.29000000000002
377.75
371.16000000000003
374.07999999999998
380.25
384.22000000000003
380.93000000000001
387.18000000000001
387.12
385.57999999999998
394.17000000000002
395.43000000000001
389.10000000000002
383.58999999999997
387.92000000000002
385.89999999999998
381.25
381.44999999999999
392.5
384.19999999999999
391.31999999999999
392.88999999999999
382.62
376.13999999999999
375.22000000000003
379.10000000000002
384.47000000000003
387.04000000000002
406.45999999999998
419.33999999999997
415.10000000000002
418.86000000000001
415.48000000000002
408.77999999999997
411.08999999999997
412.48000000000002
411.43000000000001
412.69999999999999
404.44
405.83999999999997
411.25
403.5
401.55000000000001
404.29000000000002
416.04000000000002
409.01999999999998
412.52999999999997
416.05000000000001
410.08999999999997
414.01999999999998
415.35000000000002
413.48000000000002
409.75999999999999
403.67000000000002
403.44999999999999
411.76999999999998
414.62
415.62
411.60000000000002
424.22000000000003
418.88
419.91000000000003
414.85000000000002
414.83999999999997
417.07999999999998
419.57999999999998
422.93000000000001
414.35000000000002
410.47000000000003
402.66000000000003
411.73000000000002
414.10000000000002
418.68000000000001
417.57999999999998
422.43000000000001
426.64999999999998
430.16000000000003
432.06
433.73000000000002
441.27999999999997
439.76999999999998
435.70999999999998
429.05000000000001
437.14999999999998
436.11000000000001
438.77999999999997
448.93000000000001
444.57999999999998
434.22000000000003
443.38
446.11000000000001
449.82999999999998
450.18000000000001
447.77999999999997
441.38999999999999
441.83999999999997
448.94
437.02999999999997
440.19
442.31
439.56
445.83999999999997
450.19
450.06
447.25999999999999
443.68000000000001
447.60000000000002
445.83999999999997
448.11000000000001
445.75
447.10000000000002
448.13
448.68000000000001
450.13999999999999
456.16000000000003
460.54000000000002
461.33999999999997
461.72000000000003
458.82999999999998
457.63
461.27999999999997
460.31
469.5
463.26999999999998
467.82999999999998
459.56999999999999
465.38999999999999
462.60000000000002
463.06
464.88999999999999
463.93000000000001
466.38
467.38
466.44999999999999
469.89999999999998
474.91000000000003
474.72000000000003
478.69999999999999
469.81
470.18000000000001
467.69
466.06999999999999
class
character
1
data.frame
row.names
character
161
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
elusage
structure
3
.Data
list
4
month
numeric
55
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
year
numeric
55
1989
1989
1989
1989
1989
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1992
1992
1992
1992
1992
1992
1992
1992
1992
1992
1992
1992
1993
1993
1993
1993
1993
1993
1993
1993
1993
1993
1993
1993
1994
1994
kwh
numeric
55
24.827999999999999
24.687999999999999
19.309999999999999
59.706000000000003
99.667000000000002
49.332999999999998
59.375
55.171999999999997
55.517000000000003
25.937999999999999
20.690000000000001
24.332999999999998
22.759
24.687999999999999
22.759
50.588000000000001
79
87.188000000000002
47.332999999999998
38.621000000000002
27.931000000000001
25
17.241
17
22.187999999999999
18.276
27.241
39.706000000000003
81.667000000000002
79.688000000000002
67.667000000000002
65.861999999999995
54.838999999999999
34.667000000000002
23.448
29.585999999999999
32.448
30.033000000000001
43.585999999999999
48.029000000000003
52.423999999999999
62.332999999999998
71.156000000000006
44.621000000000002
19.356999999999999
23.733000000000001
10.414
17.875
24.207000000000001
24.332999999999998
40.935000000000002
42.938000000000002
65.25
101.3
101.66
temperature
numeric
55
73
67
57
43
26
41
38
46
54
60
71
75
74
66
61
49
41
35
41
42
56
69
73
77
74
66
56
47
38
34
37
39
51
60
70
73
71
66
54
45
36
34
32
39
55
64
72
79
75
65
54
48
35
24
32
class
character
1
data.frame
row.names
character
55
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
empl
structure
3
.Data
list
2
year
numeric
20
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
employ
numeric
20
87.900000000000006
88.5
88.799999999999997
90.200000000000003
78.099999999999994
79.599999999999994
81.5
82.400000000000006
80.5
77.700000000000003
76.700000000000003
73.200000000000003
69.299999999999997
72.200000000000003
76
73.299999999999997
75
75.5
77.599999999999994
75.900000000000006
class
character
1
data.frame
row.names
character
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
ers
structure
3
.Data
list
12
date
structure
3
.Data
integer
28
1
3
5
7
9
11
13
15
17
19
21
23
25
27
2
4
6
8
10
12
14
16
18
20
22
24
26
28
.Label
character
28
16/93
16/94
17/93
17/94
18/93
18/94
19/93
19/94
20/93
20/94
21/93
21/94
22/93
22/94
23/93
23/94
24/93
24/94
25/93
25/94
26/93
26/94
27/93
27/94
28/93
28/94
29/93
29/94
class
character
1
factor
calls
numeric
28
2298
1709
2395
2486
1849
1842
2100
1752
1776
1812
1842
1674
1692
1879
6375
8827
7218
8810
7841
7745
6454
4619
6476
4692
3638
8947
6564
5613
fhigh
numeric
28
38
41
33
29
40
44
46
47
53
38
35
39
34
46
17
35
30
10
15
24
33
32
48
38
26
29
48
31
flow
numeric
28
31
27
26
19
19
30
40
35
34
32
21
27
28
28
9
15
32
4
6
12
19
18
30
32
23
14
34
40
high
numeric
28
39
41
38
36
43
43
53
46
55
43
35
44
40
41
15
47
35
10
15
21
32
32
49
42
32
31
55
36
low
numeric
28
31
30
24
21
27
29
41
40
38
31
25
31
27
23
3
12
4
-2
0
6
15
18
31
32
5
0
31
36
rain
numeric
28
0
0
0
0
0
0
1
0
1
0
0
1
0
0
0
1
1
0
1
0
0
0
0
0
1
0
1
1
snow
numeric
28
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
1
0
0
0
0
0
1
0
1
1
weekday
numeric
28
0
0
0
1
1
1
1
0
0
1
1
1
1
1
0
0
1
1
1
1
0
0
1
1
1
1
1
0
year
numeric
28
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
sunday
numeric
28
0
1
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
subzero
numeric
28
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
0
0
0
0
0
1
0
0
class
character
1
data.frame
row.names
character
28
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
foot
structure
3
.Data
list
7
favname
structure
3
.Data
integer
672
2
3
5
18
16
7
14
20
22
13
26
21
9
28
1
19
10
14
12
17
3
18
5
28
25
4
26
2
11
10
3
14
24
7
16
18
15
19
21
17
28
4
9
4
5
20
26
10
2
19
8
22
13
16
28
3
14
2
3
4
5
9
16
10
25
26
21
28
7
20
27
16
3
7
13
4
1
18
21
5
26
24
19
14
22
12
25
15
4
21
16
26
14
19
2
10
28
5
18
9
5
23
3
2
11
7
22
25
26
4
28
19
2
3
4
5
10
15
16
19
17
21
7
12
28
26
26
3
5
22
12
9
2
15
16
18
14
21
13
10
2
4
26
5
10
15
16
18
14
23
19
3
11
28
5
21
20
3
2
10
16
13
15
11
7
22
14
26
5
13
9
10
17
14
12
18
24
19
26
28
16
2
16
5
21
3
9
2
7
13
20
28
4
10
15
14
19
7
26
3
4
11
16
23
14
12
8
28
25
21
2
25
10
26
7
8
9
18
15
19
14
21
23
16
15
8
3
14
28
16
2
24
7
1
4
5
19
26
11
2
4
5
8
9
14
16
19
21
23
26
13
7
4
3
5
7
9
10
13
14
18
19
26
27
28
2
20
2
8
12
13
15
16
19
21
24
28
4
25
1
27
3
12
14
15
16
24
26
2
7
7
10
12
13
18
20
22
26
27
28
3
21
15
2
7
13
14
19
26
25
27
28
10
5
2
18
15
9
10
21
3
26
24
19
4
14
21
2
3
4
12
14
15
20
23
26
25
28
7
19
17
15
8
12
18
3
2
19
24
13
26
21
2
3
9
10
12
14
19
20
21
26
25
28
4
15
7
28
22
3
4
9
13
15
18
19
23
26
24
10
12
1
2
3
13
14
16
18
23
22
24
25
28
26
23
1
2
9
10
12
14
15
19
26
28
13
19
28
1
3
6
7
12
13
15
16
18
20
21
26
8
13
28
20
2
3
10
12
14
21
23
19
26
25
12
21
15
28
4
1
19
26
25
7
27
13
23
18
11
20
6
18
12
21
3
23
7
14
10
2
28
19
17
12
21
1
15
2
8
19
3
13
26
25
4
28
23
4
28
15
26
6
19
9
24
13
7
2
18
10
10
2
7
8
12
13
15
18
19
21
26
28
22
3
22
2
8
12
14
15
19
18
26
25
16
28
15
10
6
8
20
21
4
28
19
13
23
2
2
6
10
12
14
16
18
26
28
25
19
3
16
20
18
24
12
10
23
1
26
13
2
7
10
18
27
1
5
26
8
16
25
19
12
2
26
5
3
20
28
6
16
18
15
7
19
15
2
4
5
7
8
10
12
18
19
20
25
28
16
20
1
3
8
10
12
13
16
18
19
21
26
28
2
2
28
16
10
9
12
13
3
19
21
25
20
18
26
8
6
7
5
2
15
28
25
26
19
1
13
10
17
5
3
6
19
10
12
28
1
13
8
26
16
15
3
26
20
23
21
1
8
10
7
16
28
15
2
18
10
16
13
27
28
6
18
23
15
2
7
17
25
26
.Label
character
28
ATL
BUF
CHI
CIN
CLE
DAL
DEN
DET
GB
HOU
IND
KC
LAA
LAN
MIA
MIN
NE
NO
NYG
NYJ
PHA
PHX
PIT
SD
SEA
SF
TB
WAS
class
character
1
factor
undname
structure
3
.Data
integer
672
15
4
23
6
10
12
1
17
8
24
11
25
27
19
6
8
24
11
13
15
16
9
20
21
22
23
27
7
1
2
8
9
12
13
23
27
20
22
26
25
6
5
1
12
7
11
14
15
17
6
23
24
25
27
18
21
1
11
27
23
15
6
8
17
12
18
19
22
24
13
8
9
10
11
12
15
17
20
22
23
6
25
28
2
1
6
7
9
11
13
8
17
18
24
20
23
27
3
1
8
10
12
14
15
17
21
6
24
20
27
13
16
1
9
13
27
8
11
14
22
20
24
23
25
6
18
1
23
25
6
7
8
11
20
27
17
19
28
24
4
17
8
9
12
13
6
21
1
22
24
25
27
20
7
8
6
1
28
4
12
9
17
23
24
25
27
18
19
4
7
27
23
11
6
15
8
20
21
1
22
3
25
1
11
6
8
12
18
19
22
23
24
25
27
17
26
6
22
2
9
10
15
5
17
20
24
27
1
13
18
20
28
5
3
24
1
6
11
12
13
17
22
27
4
17
27
25
9
22
12
11
6
13
10
20
23
21
18
17
15
24
20
1
3
27
18
6
22
10
28
25
12
17
16
24
25
12
11
23
21
22
15
1
8
6
20
17
7
9
5
3
23
27
6
11
10
22
25
17
18
6
9
11
4
20
8
23
10
13
5
23
4
8
25
5
24
6
1
9
19
14
16
17
20
11
24
1
22
23
12
6
21
18
4
17
8
11
16
20
6
22
5
27
28
1
23
17
5
27
18
13
10
22
6
1
9
24
8
16
11
11
20
16
25
27
1
22
14
7
9
6
28
17
7
22
5
24
6
8
11
1
27
16
18
23
13
8
6
17
16
11
27
12
5
1
21
20
14
25
2
17
27
21
8
7
5
9
6
4
11
20
10
15
19
17
22
11
25
5
7
18
21
16
4
3
8
2
17
5
8
22
24
10
4
25
27
23
11
9
14
9
16
11
17
15
27
4
24
1
6
5
22
18
7
3
22
11
2
5
6
17
16
8
9
20
24
10
14
17
27
5
25
1
9
16
24
4
22
13
15
8
26
5
18
22
16
11
23
9
14
27
7
24
20
10
6
17
5
22
8
16
21
3
27
1
11
25
20
14
12
17
27
24
11
25
1
9
16
5
23
14
4
6
20
17
3
27
24
9
20
6
1
13
11
7
21
17
7
9
16
5
27
25
3
22
24
11
12
11
4
20
15
24
22
21
1
5
13
23
9
17
11
27
5
7
15
25
22
8
14
4
17
4
3
9
14
23
21
6
22
24
28
13
17
1
4
8
9
10
22
27
14
11
23
21
17
9
23
21
13
27
6
14
26
22
11
24
1
3
17
27
11
14
5
7
25
9
24
6
4
22
23
15
17
6
8
23
11
5
4
15
27
22
7
24
1
14
3
23
17
11
20
27
14
12
18
4
9
24
21
11
7
9
18
21
23
24
22
14
2
20
25
27
4
27
12
17
4
6
25
9
5
22
14
19
24
11
13
19
9
12
11
21
1
22
5
20
8
24
4
14
3
.Label
character
28
ATL
BUF
CHI
CIN
CLE
DAL
DEN
DET
GB
HOU
IND
KC
LAA
LAN
MIA
MIN
NE
NO
NYG
NYJ
PHA
PHX
PIT
SD
SEA
SF
TB
WAS
class
character
1
factor
betting
numeric
672
-1
0
1
1
1
1
1
-1
1
1
1
1
-1
-1
1
-1
1
1
1
-1
1
-1
1
-1
-1
1
-1
-1
-1
-1
1
-1
1
1
-1
-1
-1
1
-1
-1
1
1
-1
-1
-1
-1
-1
1
1
1
-1
-1
-1
1
1
1
1
-1
-1
1
-1
1
-1
-1
-1
0
-1
-1
-1
-1
-1
1
-1
1
1
-1
-1
1
1
-1
1
-1
0
-1
1
-1
-1
0
-1
-1
1
1
-1
1
1
1
-1
1
0
-1
1
1
1
1
-1
-1
1
-1
1
1
-1
1
-1
-1
-1
1
-1
1
-1
1
-1
-1
1
1
-1
1
1
1
1
-1
-1
-1
1
1
1
1
1
-1
-1
-1
-1
1
-1
-1
1
-1
-1
1
1
1
1
-1
1
-1
-1
1
1
-1
1
-1
-1
-1
-1
-1
1
-1
1
1
-1
1
-1
1
1
-1
1
-1
-1
-1
1
1
1
-1
1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
1
-1
1
1
1
-1
1
1
-1
1
1
-1
1
-1
1
-1
1
-1
-1
1
-1
1
1
1
-1
1
-1
1
1
1
1
-1
1
-1
1
-1
1
-1
-1
1
-1
1
1
-1
-1
-1
1
-1
1
-1
1
1
1
-1
1
1
1
-1
1
1
-1
-1
-1
1
1
-1
1
1
-1
1
-1
1
1
-1
-1
1
1
1
-1
1
-1
-1
1
-1
1
-1
-1
1
-1
-1
-1
-1
-1
-1
1
-1
-1
1
1
1
-1
-1
1
1
1
-1
1
1
-1
-1
1
1
1
-1
1
1
-1
1
1
-1
1
-1
1
1
-1
-1
1
-1
1
1
-1
-1
1
1
1
-1
0
1
1
1
1
-1
-1
1
-1
1
-1
1
-1
-1
1
-1
1
1
1
-1
1
1
-1
1
-1
1
1
-1
1
-1
0
1
-1
1
1
-1
-1
-1
1
-1
-1
1
-1
1
-1
-1
1
-1
-1
0
1
-1
1
-1
1
1
1
-1
-1
1
1
1
1
1
1
-1
1
-1
1
1
-1
1
1
-1
-1
1
-1
1
-1
-1
1
1
-1
1
1
-1
-1
-1
1
1
1
1
-1
1
1
1
-1
1
-1
1
1
-1
-1
0
1
-1
-1
1
-1
1
-1
0
1
1
-1
-1
-1
-1
-1
1
1
-1
1
1
1
1
1
-1
1
-1
1
0
-1
-1
-1
-1
1
1
1
-1
-1
-1
1
1
-1
0
0
-1
1
-1
-1
-1
-1
-1
-1
1
0
-1
1
1
-1
-1
-1
1
-1
-1
-1
1
-1
1
1
1
-1
-1
1
1
1
-1
-1
-1
-1
1
-1
1
-1
1
1
1
1
1
1
-1
-1
1
1
-1
1
-1
1
1
0
1
1
1
1
-1
1
-1
-1
1
-1
-1
1
-1
-1
0
-1
-1
1
-1
1
-1
1
-1
-1
1
1
1
1
1
1
-1
-1
-1
-1
-1
1
-1
-1
1
1
1
-1
1
-1
1
1
-1
-1
-1
-1
-1
1
1
0
-1
-1
1
-1
1
1
1
1
-1
-1
1
1
-1
1
-1
-1
1
1
-1
-1
-1
-1
-1
-1
1
-1
-1
1
0
1
-1
1
1
1
1
1
1
1
1
-1
1
-1
-1
-1
-1
-1
-1
1
1
-1
1
-1
-1
1
-1
1
-1
-1
1
1
1
-1
1
-1
1
1
0
-1
-1
1
-1
1
1
-1
-1
-1
1
-1
1
1
1
-1
-1
1
-1
1
1
day
numeric
672
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
3
3
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
4
4
0
0
0
0
0
0
0
0
0
0
1
2
4
4
4
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
3
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
3
3
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
1
0
0
0
0
0
0
2
0
0
0
0
0
0
0
1
0
0
0
2
4
4
0
1
0
0
0
0
0
0
0
0
0
2
4
4
4
0
0
0
0
0
0
0
0
0
0
3
4
4
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
1
2
3
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
1
2
1
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
1
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
3
3
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
0
0
0
0
0
0
0
0
1
2
4
4
0
0
0
0
0
0
0
0
0
0
1
2
4
4
0
0
0
0
0
0
0
0
0
0
1
2
homeaway
numeric
672
0
1
0
1
1
1
0
1
0
1
0
1
1
1
1
1
0
1
1
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
0
0
1
1
1
1
0
1
1
0
1
1
1
1
1
0
1
1
1
1
0
1
1
0
0
0
0
1
1
0
1
0
1
1
1
1
1
1
1
1
1
1
1
1
0
1
0
1
1
0
1
1
1
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
0
1
0
1
0
1
0
0
0
0
1
1
1
0
1
0
1
1
1
1
1
0
0
1
1
0
1
0
0
0
1
1
0
1
0
1
1
1
1
0
0
0
1
1
1
1
1
1
0
0
1
0
1
0
0
1
1
1
1
1
0
1
1
1
0
0
1
0
1
0
1
1
0
0
1
0
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
0
1
1
1
1
0
1
0
0
1
1
1
0
0
0
1
1
1
0
1
0
1
0
1
1
0
1
0
1
0
0
1
1
1
1
0
1
0
0
0
1
1
0
1
0
1
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
1
1
1
1
0
1
1
1
1
0
0
0
1
0
1
0
1
1
1
0
0
1
1
1
1
1
1
1
1
1
0
1
1
1
1
1
1
0
0
1
1
1
1
1
1
1
1
0
1
0
1
1
0
0
1
1
1
0
0
1
0
0
1
1
1
1
1
1
0
1
0
0
0
1
0
1
1
1
1
1
0
1
1
0
1
1
0
0
0
1
1
1
0
0
1
1
1
1
1
0
0
1
0
1
1
1
0
1
0
0
1
1
1
0
0
1
1
0
0
1
0
1
1
1
1
1
1
1
1
0
1
1
1
1
1
1
0
1
0
1
0
0
0
1
1
1
1
1
0
1
1
1
0
0
0
0
1
1
1
0
0
0
1
1
0
1
1
0
0
1
1
1
1
0
0
1
1
1
1
0
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
0
1
0
1
0
0
1
0
1
1
1
1
0
1
1
0
0
1
0
1
0
1
1
1
1
1
0
1
1
1
1
1
0
1
0
0
0
0
1
1
1
0
1
0
1
0
0
1
0
1
1
0
0
1
1
0
1
1
1
0
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0
1
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1
0
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0
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0
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0
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0
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1
0
0
1
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0
0
0
1
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0
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0
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0
1
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0
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0
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1
0
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0
1
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1
1
1
1
1
1
0
0
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1
0
0
1
1
1
1
1
1
1
0
0
1
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0
0
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0
1
1
1
0
1
0
1
1
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0
0
1
1
week
numeric
672
1
1
1
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1
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2
2
2
2
2
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2
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year
numeric
672
89
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91
class
character
1
data.frame
row.names
character
672
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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630
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672
free
structure
3
.Data
list
14
player
structure
3
.Data
integer
162
126
96
115
120
16
29
34
50
59
63
85
13
144
27
11
141
8
40
124
6
54
33
97
72
26
14
147
143
82
60
88
140
73
153
146
148
93
47
56
17
18
19
7
48
28
67
20
57
95
9
1
122
10
49
12
30
69
91
113
2
66
123
106
31
41
42
152
116
118
145
92
150
157
3
58
32
128
74
107
119
129
130
131
97
156
133
75
108
114
158
51
117
77
78
159
109
135
79
4
35
98
55
136
44
80
81
99
160
61
5
62
121
83
84
101
149
52
22
23
139
64
36
37
38
110
111
53
65
25
155
88
89
90
104
94
151
68
45
105
70
71
21
112
125
127
142
102
132
103
134
76
154
43
100
46
86
137
138
15
87
24
39
.Label
character
160
A. Bumbry
A. Dawson
A. Howe
A. Otis
A. Rodriguez
A. Thornton
B. Ayala
B. Bochte
B. Brenly
B. Butler
B. Campaneris
B. Carbo
B. Grich
B. Russell
B. Stein
B. Watson
Bill Almon (79-80)
Bill Almon (82-83)
Bill Almon (85-86)
Bob Boone
C. Fisk
C. Speier (84-85)
C. Speier (86-87)
C. Washington (80-81)
C. Washington (88-89)
Cliff Johnson
D. Baylor (76-77)
D. Baylor (82-83)
D. Cash
D. Chalk
D. Dyer
D. Iorg
D. Kingman
D. Kingman (77-78)
D. Parker
D. Thomas (78-79)
D. Thomas (83-84)
D. Thon
D. Winfield
Darrell Evans (76-77)
Darrell Evans (83-84)
Darrell Evans (88-89)
Darrell Porter(80-81)
Darrell Porter(85-86)
Dave Collins
Dave Roberts
Dick Allen
Dusty Baker
E. Cabell
E. Maddox
E. Milner
E. Soderholm
E. Valentine
F. Lynn
F. Patek
G. Allenson
G. Borgman
G. Hubbard
G. Matthews
G. Pryor
G. Richards
G. Roenick
G. Tenace (76-77)
G. Tenace (82-83)
G. Ward
I. DeJesus
J. Beniquez
J. Burroughs (81-82)
J. Clark
J. Dwyer
J. Essian
J. Gantner
J. Grubb
J. Johnstone
J. Leonard
J. Morales
J. Morgan (79-80)
J. Morgan (83-84)
J. Orta
J. Quirk (82-83)
J. Quirk (88-89)
J. Royster
J. Royster (86-87)
J. Royster (87-88)
J. Rudi (76-77)
J. Rudi (81-82)
J. Turner
J. Wohlford
J. Youngblood (82-83)
J. Youngblood (88-89)
Jose Cruz
K. Gibson
L. Aguayo
L. Biittner
L. Bostock
L. Hisle
L. Lacy
L. Parrish
L. Randle (79-80)
L. Randle (80-81)
L. Sakata
Lamar Johnson
Lee May
M. Belanger
M. Cubbage
M. Dilone
M. Jorgensen
M. Lum
M. O'Berry
M. Trillo (83-84)
M. Trillo (88-89)
Marc Hill
Mike Davis
Milt May
O. Gamble (77-78)
O. Gamble (84-85)
O. Moreno
P. Garner
P. Kellogg
P. Rose (78-79)
P. Rose (83-84)
R. Burleson
R. Dempsey
R. Hebner
R. Howell
R. Jackson (76-77)
R. Jackson (81-82)
R. Jackson (86-87)
R. Kittle (87-88)
R. Kittle (88-89)
R. Knight
R. LeFlore
R. Leach
R. Miller
R. Office
R. Picciolo
R. Smith
R. Staub
R. Stennett
R. Wilfong
R. Zisk
Ron Jackson
Ruppert Jones
S. Bando
S. Garvey
S. Henderson (84-85)
S. Lezcano
S. Nicosia
S. Sax
Steve Henderson(87-88
T. Blackwell
T. Fuentes
T. Perez
T. Poquette
U.L. Washington
V. Law
W. Horton
W. McCovey
W. Nordhagen
W. Randolph
class
character
1
factor
bafa
structure
3
.Data
integer
162
63
78
74
78
79
67
20
19
65
39
56
52
31
37
43
72
77
13
39
57
57
54
84
66
80
53
63
67
14
49
76
38
53
32
48
79
39
54
24
23
43
19
18
46
49
80
73
11
85
10
56
67
73
82
66
22
69
32
51
67
21
15
8
17
63
15
49
9
47
66
63
1
41
30
50
22
32
63
33
46
63
45
75
84
59
62
33
53
42
12
41
35
40
25
61
4
39
48
47
65
44
41
21
20
26
31
6
25
61
32
51
35
44
51
86
63
69
5
67
30
45
23
40
18
56
40
70
83
81
39
49
31
41
3
39
28
42
58
36
68
27
71
14
55
29
56
62
44
34
60
79
2
39
62
30
7
11
76
54
16
64
62
.Label
character
86
) 0.289
0.152
0.165
0.167
0.178
0.179
0.180
0.183
0.184
0.189
0.200
0.204
0.205
0.207
0.208
0.209
0.211
0.212
0.217
0.221
0.222
0.223
0.227
0.229
0.230
0.231
0.232
0.234
0.237
0.238
0.240
0.241
0.242
0.243
0.245
0.246
0.247
0.248
0.249
0.250
0.252
0.254
0.256
0.257
0.258
0.260
0.261
0.262
0.263
0.264
0.265
0.266
0.267
0.268
0.269
0.270
0.271
0.272
0.273
0.274
0.275
0.276
0.277
0.278
0.279
0.282
0.284
0.285
0.286
0.288
0.289
0.290
0.295
0.297
0.298
0.300
0.301
0.302
0.303
0.304
0.308
0.311
0.316
0.321
0.336
0.353
class
character
1
factor
banext
numeric
162
0.28599999999999998
0.28999999999999998
0.27500000000000002
0.33100000000000002
0.307
0.28899999999999998
0.26600000000000001
0.26200000000000001
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0.25
0.251
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0.189
0.33300000000000002
0.32800000000000001
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0.186
0.17499999999999999
0.23999999999999999
0.11799999999999999
0.193
0.26600000000000001
0.27000000000000002
0.25
0.26800000000000002
0.30299999999999999
0.29999999999999999
0.27400000000000002
0.218
0.29599999999999999
0.17299999999999999
0.20000000000000001
0.20899999999999999
0.28699999999999998
0.31
0.28100000000000003
0.251
0.24199999999999999
0.20000000000000001
0.19600000000000001
0.28699999999999998
0
0.17699999999999999
0.27800000000000002
0.24299999999999999
0.23200000000000001
0.20699999999999999
0.309
0.20300000000000001
0.26000000000000001
0.29399999999999998
0.28999999999999998
0.217
0.27900000000000003
0.216
0.255
0.22600000000000001
0.22
0.307
0.19600000000000001
0.21299999999999999
0.25800000000000001
0.30199999999999999
0.25600000000000001
0.29299999999999998
0.29299999999999998
0.27200000000000002
0.254
0.249
0.26000000000000001
0.28000000000000003
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0.24399999999999999
0.24299999999999999
0.24399999999999999
0.14299999999999999
0.25
0.26700000000000002
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0.245
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0.20200000000000001
0.26500000000000001
0.20899999999999999
0.17599999999999999
0.27600000000000002
0.28199999999999997
0.252
0.13800000000000001
0.219
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0.26500000000000001
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0.26700000000000002
0.315
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0.249
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0.17699999999999999
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0.26400000000000001
0.254
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0.20000000000000001
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0.21199999999999999
0.23999999999999999
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0.19
0.27700000000000002
0.253
0.21299999999999999
0.224
0.308
0.26300000000000001
0
0.23799999999999999
0.27500000000000002
0.33100000000000002
0.25900000000000001
0.246
0.29099999999999998
0.29099999999999998
0.24399999999999999
0.14499999999999999
0.224
0.23100000000000001
0.24099999999999999
0.21199999999999999
0.28399999999999997
0.317
0.33000000000000002
0.248
0.29099999999999998
0.29399999999999998
hrfa
numeric
162
27
28
31
7
16
1
26
0
20
22
13
13
27
15
1
30
7
11
8
33
23
35
12
3
16
0
14
12
1
4
5
6
8
2
10
2
6
15
2
1
4
7
4
15
24
8
5
0
14
5
3
5
9
5
5
2
35
11
22
20
0
13
0
0
30
22
2
10
8
16
24
3
11
5
5
1
18
1
8
3
12
18
11
12
12
0
10
6
7
7
4
3
9
16
1
1
2
11
4
12
22
1
0
10
1
8
0
2
3
3
3
0
5
7
0
5
11
3
6
0
7
3
2
1
3
1
8
5
11
1
1
3
0
1
1
1
10
3
8
9
5
18
2
10
15
5
1
4
7
2
8
0
7
5
10
6
1
9
5
2
11
20
hrnext
numeric
162
32
34
7
4
13
0
28
2
17
15
13
7
17
25
5
22
11
17
18
22
23
30
9
5
13
0
3
21
5
1
1
4
13
6
3
0
1
5
0
0
4
6
2
14
21
6
1
2
5
1
1
2
6
8
3
1
27
1
2
49
0
1
1
1
16
11
5
4
17
14
25
0
29
2
3
2
15
2
1
1
18
11
14
9
11
1
24
6
6
28
0
1
11
6
1
0
6
10
0
16
17
5
1
12
2
1
5
2
0
1
9
0
7
0
2
5
25
4
11
2
0
5
0
1
4
0
13
16
13
0
1
17
3
0
0
0
16
3
1
3
0
7
0
6
39
2
7
0
0
2
2
0
6
4
1
5
18
5
2
8
5
13
rbifa
numeric
162
91
119
83
52
71
56
78
3
84
66
94
54
84
68
52
101
51
46
51
99
79
118
70
56
61
19
40
37
21
25
29
33
17
15
35
19
13
49
8
8
26
16
24
73
93
42
39
8
90
22
24
29
41
46
22
13
106
38
72
78
7
29
7
13
82
64
36
27
74
86
79
9
60
38
38
21
58
39
32
26
28
43
76
70
56
23
64
23
31
36
19
44
32
59
22
5
37
46
41
69
62
37
1
36
5
25
3
34
22
31
18
45
26
27
5
57
58
10
23
24
18
26
8
3
45
14
48
51
64
17
17
29
16
10
34
11
41
23
42
38
29
62
9
57
54
40
15
39
31
38
36
7
51
39
30
24
8
55
27
8
54
87
rbinext
numeric
162
110
115
47
59
68
43
79
9
64
61
53
23
82
75
46
85
51
72
62
88
68
91
48
44
66
13
9
67
31
3
15
13
51
33
31
2
8
31
3
7
63
29
15
52
85
36
43
14
71
9
10
14
43
44
12
20
93
7
17
137
0
9
10
8
63
39
51
20
77
59
76
5
106
12
33
11
43
20
9
16
43
37
65
48
78
23
93
27
50
86
2
42
49
43
4
5
30
64
10
94
67
34
9
29
11
10
39
36
4
3
28
34
27
1
4
63
67
24
39
37
6
44
22
18
36
0
43
78
42
10
24
53
13
4
8
3
48
25
4
10
5
45
0
33
101
19
38
24
8
33
14
3
31
25
5
18
56
21
22
27
37
68
abfa
numeric
162
498
546
408
655
457
666
439
46
587
417
500
518
550
595
536
531
492
396
434
587
517
549
474
613
359
262
256
215
227
270
213
307
176
137
325
132
237
298
83
198
308
212
118
531
608
411
352
70
593
206
344
271
522
392
220
220
419
365
494
496
72
327
71
175
523
437
520
125
555
625
487
114
393
365
443
130
419
249
223
200
159
225
486
474
436
199
534
146
213
226
214
645
436
404
189
60
277
325
356
552
327
306
27
240
78
196
39
404
233
257
136
493
257
196
34
632
419
191
155
319
124
352
192
66
441
164
337
380
455
193
175
292
123
139
273
158
319
360
285
260
285
478
111
528
334
270
134
521
222
412
241
66
418
489
235
122
35
340
198
43
374
558
abnext
numeric
162
525
520
375
628
469
650
395
107
555
437
242
181
580
561
552
511
486
461
397
461
448
592
492
523
369
169
116
389
249
114
125
217
210
183
193
86
97
171
34
150
451
244
76
343
534
343
405
87
568
110
95
206
568
436
64
167
496
80
281
621
4
141
169
74
401
276
615
148
585
388
542
46
646
139
294
106
336
251
97
75
225
169
563
492
556
239
566
217
358
478
51
557
461
365
35
32
292
481
97
607
466
273
119
155
86
85
489
549
135
87
151
374
196
102
45
651
460
218
317
397
62
406
272
258
401
39
271
529
418
135
193
373
118
50
61
42
285
348
80
134
52
338
6
244
530
142
324
337
55
316
86
62
174
273
54
193
349
161
115
210
320
388
safa
numeric
162
0.502
0.53300000000000003
0.58799999999999997
0.42099999999999999
0.56899999999999995
0.34499999999999997
0.44400000000000001
0.26100000000000001
0.443
0.45800000000000002
0.42399999999999999
0.41699999999999998
0.42699999999999999
0.36799999999999999
0.29099999999999998
0.51400000000000001
0.39400000000000002
0.316
0.36599999999999999
0.48399999999999999
0.47399999999999998
0.505
0.46400000000000002
0.34399999999999997
0.50700000000000001
0.32100000000000001
0.47999999999999998
0.51600000000000001
0.29499999999999998
0.35599999999999998
0.45100000000000001
0.36199999999999999
0.432
0.34300000000000003
0.40899999999999997
0.46200000000000002
0.35399999999999998
0.47999999999999998
0.32500000000000001
0.25800000000000001
0.35399999999999998
0.36799999999999999
0.36399999999999999
0.39500000000000002
0.42399999999999999
0.41799999999999998
0.38600000000000001
0.24299999999999999
0.50800000000000001
0.29599999999999999
0.33700000000000002
0.39100000000000001
0.42499999999999999
0.434
0.40000000000000002
0.27700000000000002
0.59699999999999998
0.40000000000000002
0.46800000000000003
0.47799999999999998
0.29199999999999998
0.379
0.254
0.26900000000000002
0.51600000000000001
0.38
0.31
0.44
0.40000000000000002
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0.48899999999999999
0.42999999999999999
0.38900000000000001
0.32600000000000001
0.38100000000000001
0.33100000000000002
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0.34100000000000003
0.38100000000000001
0.36499999999999999
0.53500000000000003
0.53300000000000003
0.42399999999999999
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0.42199999999999999
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0.33600000000000002
0.374
0.315
0.376
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0.33600000000000002
0.437
0.35699999999999998
0.41099999999999998
0.48299999999999998
0.317
0.33300000000000002
0.41299999999999998
0.308
0.40799999999999997
0.17899999999999999
0.29999999999999999
0.38600000000000001
0.34200000000000003
0.36799999999999999
0.28599999999999998
0.36199999999999999
0.439
0.41199999999999998
0.34300000000000003
0.41499999999999998
0.27200000000000002
0.45200000000000001
0.29199999999999998
0.55000000000000004
0.29299999999999998
0.375
0.27300000000000002
0.34200000000000003
0.29899999999999999
0.40699999999999997
0.40500000000000003
0.442
0.35199999999999998
0.36599999999999999
0.318
0.28499999999999998
0.23699999999999999
0.31900000000000001
0.34200000000000003
0.39500000000000002
0.38100000000000001
0.36099999999999999
0.438
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0.315
0.41299999999999998
0.42799999999999999
0.39600000000000002
0.35099999999999998
0.36299999999999999
0.40100000000000002
0.33700000000000002
0.48999999999999999
0.16700000000000001
0.34200000000000003
0.37
0.38300000000000001
0.35199999999999998
0.314
0.45900000000000002
0.379
0.34899999999999998
0.45200000000000001
0.45000000000000001
sanext
numeric
162
0.55000000000000004
0.53300000000000003
0.38700000000000001
0.42999999999999999
0.45600000000000002
0.375
0.54200000000000004
0.38300000000000001
0.438
0.40999999999999998
0.496
0.39200000000000002
0.39500000000000002
0.433
0.34100000000000003
0.432
0.39500000000000002
0.41599999999999998
0.48399999999999999
0.40799999999999997
0.44900000000000001
0.41699999999999998
0.40899999999999997
0.32700000000000001
0.41699999999999998
0.308
0.30199999999999999
0.44700000000000001
0.40999999999999998
0.27200000000000002
0.27200000000000002
0.25800000000000001
0.58999999999999997
0.46999999999999997
0.41999999999999998
0.20899999999999999
0.26800000000000002
0.35099999999999998
0.14699999999999999
0.26000000000000001
0.36099999999999999
0.41399999999999998
0.42099999999999999
0.44
0.49399999999999999
0.39700000000000002
0.32300000000000001
0.31
0.379
0.26400000000000001
0.26300000000000001
0.316
0.39800000000000002
0.41699999999999998
0.438
0.34100000000000003
0.433
0.26300000000000001
0.27000000000000002
0.56799999999999995
0
0.27000000000000002
0.36699999999999999
0.36499999999999999
0.38400000000000001
0.35499999999999998
0.39700000000000002
0.318
0.441
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0.48299999999999998
0.26100000000000001
0.45800000000000002
0.29499999999999998
0.34000000000000002
0.32100000000000001
0.40200000000000002
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0.307
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0.55600000000000005
0.373
0.40899999999999997
0.41199999999999998
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0.41999999999999998
0.35899999999999999
0.36599999999999999
0.5
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0.33000000000000002
0.373
0.35099999999999998
0.25700000000000001
0.313
0.40100000000000002
0.40300000000000002
0.20599999999999999
0.40999999999999998
0.39900000000000002
0.39200000000000002
0.27700000000000002
0.53500000000000003
0.32600000000000001
0.23499999999999999
0.37
0.32600000000000001
0.28100000000000003
0.184
0.45000000000000001
0.33700000000000002
0.439
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0.44400000000000001
0.38700000000000001
0.5
0.34899999999999998
0.39400000000000002
0.30199999999999999
0.25800000000000001
0.34999999999999998
0.309
0.33700000000000002
0.34200000000000003
0.20499999999999999
0.435
0.38400000000000001
0.42799999999999999
0.25900000000000001
0.36799999999999999
0.499
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0.26000000000000001
0.27900000000000003
0.28599999999999998
0.505
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0.32500000000000001
0.30599999999999999
0.36499999999999999
0.36099999999999999
0
0.373
0.53200000000000003
0.41499999999999998
0.35799999999999998
0.29999999999999999
0.34499999999999997
0.377
0.34899999999999998
0.161
0.40799999999999997
0.315
0.35199999999999998
0.33200000000000002
0.46999999999999997
0.46600000000000003
0.435
0.376
0.42499999999999999
0.46400000000000002
runfa
numeric
162
84
95
75
103
63
92
47
4
79
64
54
93
75
85
67
78
64
53
60
91
84
68
66
61
51
25
36
26
22
32
20
31
25
9
42
9
21
52
9
20
40
24
9
71
80
54
38
4
104
13
47
35
91
62
28
15
93
47
69
65
11
42
17
7
94
48
48
17
54
66
95
14
38
29
69
7
65
17
21
38
21
31
51
66
52
21
57
15
24
20
38
82
70
72
12
7
35
49
35
68
53
30
2
30
8
22
2
43
37
24
11
52
31
26
4
70
62
12
21
31
18
36
38
6
49
15
33
54
62
24
19
37
12
9
21
21
32
63
29
41
19
73
9
51
33
29
10
95
20
52
36
2
51
67
27
14
5
42
16
6
53
89
runnext
numeric
162
93
96
46
90
62
91
65
14
89
66
48
24
65
87
77
68
58
64
67
49
50
66
69
63
35
19
16
66
31
8
7
16
32
25
25
4
7
19
2
15
45
33
10
48
82
48
33
10
74
11
6
26
109
52
6
19
81
9
29
90
1
16
28
4
60
31
83
20
99
76
106
4
77
17
35
10
42
31
20
8
31
26
46
69
73
32
69
27
27
54
3
65
66
50
1
3
36
78
6
73
42
41
18
21
3
6
67
62
18
1
25
43
26
8
5
88
77
16
39
34
7
47
29
36
45
3
30
65
53
14
17
59
13
6
1
2
42
41
9
16
6
44
0
37
92
15
37
46
3
38
6
4
22
22
4
21
51
9
21
21
37
52
strike
numeric
162
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
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0
0
0
0
0
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0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
1
1
1
2
2
2
2
2
2
1
1
1
2
2
2
2
1
2
2
2
1
1
2
2
1
2
2
class
character
1
data.frame
row.names
character
162
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
funds
structure
3
.Data
list
4
fund
structure
3
.Data
integer
185
17
43
95
84
118
32
42
50
181
120
185
107
158
86
94
73
87
13
36
28
18
99
64
170
173
53
172
148
156
26
20
161
45
124
139
106
98
174
114
30
131
29
184
110
22
144
59
3
180
134
76
81
162
56
153
39
41
40
93
97
78
135
146
127
21
101
159
60
129
8
6
25
152
100
16
79
47
155
154
23
70
51
33
65
54
132
67
90
149
96
125
108
58
66
15
121
12
74
143
82
169
157
4
57
52
88
31
117
105
145
133
75
177
116
34
147
171
44
10
2
151
7
136
92
80
112
113
89
48
5
69
150
140
11
14
24
71
176
178
179
164
35
1
123
111
119
85
91
122
182
38
160
138
137
130
19
141
68
37
109
142
163
165
166
104
115
103
102
63
167
77
46
27
183
168
128
55
62
72
83
49
126
175
9
61
.Label
character
185
20th Cent. Vista Inv
20th Century Ultra
AIM Charter
AIM Constellation
Acorn
Affiliated
Alger Small Capitali
Alliance G & I A
Alliance Intl. A
Alliance Quasar A
Amer. Cap. Emerg.G A
Amer. Capital Pace A
American Balanced
Babson Enterprise
Babson Growth
CGM Capital Developm
CGM Mutual
Calvert Soc Inv MgGr
Calvert-Ariel Growth
Capital Income Build
Cardinal
Clipper
Columbia Growth
Columbia Special
Common Sense G & I
Dean Witter EqutyInc
Dean Witter WrldWide
Delaware
Delaware Decatur I
Delaware Decatur II
Delaware Trend
Dodge & Cox Balanced
Dreyfus Appreciation
Dreyfus Capital Grow
Dreyfus New Leaders
Eaton Vance Investor
EuroPacific Growth
Evergreen
Evergreen Total Ret
FPA Paramount
Fidelity
Fidelity Advisor
Fidelity Balanced
Fidelity Capital App
Fidelity Equity Inc
Fidelity Europe
Fidelity Growth Co.
Fidelity OTC
Fidelity Overseas
Fidelity Puritan
Fidelity Retire Grwt
Financial Dynamics
Financial Ind Income
Financial Industrial
First Investors Glob
Founders Blue Chip
Founders Special
Franklin Growth
Franklin Rising Div
Fundamental Investor
G.T. Europe Growth A
G.T. Int. Growth A
G.T. Pacific GrowthA
George Putnam Bost A
Gintel
Gradison-McDnld EV
Guardian Park Avenue
Harbor International
Hartwell EmergngGrwt
IDEX 3
IDS Discovery
IDS International
IDS Mutual
IDS Progressive
IDS Strategy Aggr Eq
IDS Strategy Equity
International Equity
Investment Co. Amer.
Janus
Janus Venture
John Hancock Sovergn
Kaufmann
Kemper International
Kemper Inv. Tot. Ret
Kemper Small Cap.Equ
Kemper Total Return
Keystone Custodian
Keystone Custodn S-4
Legg Mason Spec. Inv
Lindner
MFS Emerging Growth
MFS Lifetime EmrGrw
MFS Lifetime Total R
MFS Total Return
MainStay Total Ret.
Mas Inv Growth Stock
Mass Investors
Merl Lnch Strateg B
Merrill Lynch BalInB
Merrill Lynch BasicV
Merrill Lynch Cap A
Merrill Lynch Euro B
Merrill Lynch Intl A
Merrill Lynch PacfcA
MetLife StateStCapAp
National Total Retur
Natl Inc & Growth A
New Economy
New Perspective
Newberger&Berman Grd
Nicholas II
Nicholas Ltd. Editio
Oppenheimer Discover
Oppenheimer EqutyInc
Oppenheimer Global
Oppenheimer Target
Pacific Horizon AG
Pax World
Pennsylvania Mutual
Phoenix Balanced
Pilgrim MagnaCap
Pioneer Three
Prud Growth Opport B
Prudential Equ Inc B
Prudential Equity B
Prudential Global B
Putnam Fund G&I A
Putnam Global Growth
Putnam Managed Incom
Putnam OTC Emerg Grw
Putnam Strategic Inc
Putnam Vista
Putnam Voyager
Rightime
Rightime Blue Chip
Roberts. Steph. EmGr
Royce Value
SAFECO Growth
SAFECO Income
Scudder Development
Scudder Global
Scudder Internationa
Security Action
Selected Amer Shares
Seligman Capital
Seligman Common Stck
Shearson Aggr Growth
Shearson Premium
Shearson Sector An B
Sit \"New Beginning\"
Skyline Special Equi
Smith Barney I & G A
Stagecoach Corporate
SteinRoe Special
SteinRoe Stock
SteinRoe Total Retur
Strong Discovery
Strong Investment
Strong Total Return
T. Rowe Price OTC
T.Rowe Price EquInc
T.Rowe Price G & I
T.Rowe Price Intl St
T.Rowe Price New Hor
Templeton Foreign
Templeton Growth
Templeton SmallCo.Gr
Templeton World
Thomson OpportunityB
USAA Inv Cornerstone
USAA Mutual Aggr Grw
USAA Mutual Inc Stck
United Contnentl Inc
United Income
United Intl. Growth
United New Concepts
Value Line Lever Grt
Vanguard Explorer
Vanguard Ind Ext Mkt
Vanguard Quantitativ
Vanguard STAR
Vanguard Small CapSt
Vanguard World IntGr
Vista Growth & Incom
Wellington
class
character
1
factor
type
numeric
185
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
fiveyr
numeric
185
15600
14650
15001
15628
14222
14222
15065
14916
14477
14308
14239
14202
12978
14511
13726
13555
13544
13723
13293
14333
13050
13207
13501
12548
13224
16423
15156
15973
14576
15361
14288
14711
14259
14290
13833
14033
12963
14255
12614
13175
12595
12219
22331
17063
15851
16113
15448
15421
15434
13597
15278
14724
15275
14450
14803
14033
14587
14201
13977
14570
14231
12890
14516
14039
14136
13505
12714
14371
13762
13669
13602
13721
13297
12948
22934
17819
18266
17188
16960
16040
16719
16457
15617
15705
15680
15756
15593
14099
13628
15556
14973
14874
13659
13554
13994
13685
13626
13240
12784
24161
22067
18125
20043
18311
18666
18913
19673
17666
17994
17682
16841
16159
15282
15795
14040
14973
14650
13148
12433
21995
21487
20966
18911
21349
18129
17847
18681
18146
17929
17643
18878
17367
17644
17666
17591
18275
17182
17311
16693
15663
16842
16396
17049
16502
15435
15200
16040
16783
15488
15591
14704
14742
14870
14348
15336
14455
13723
13726
12767
12952
11618
11700
12502
13320
10473
11885
11688
11419
11337
13183
10499
10859
10982
10176
12317
11412
11077
10856
10383
10232
9569
9939
10252
9781
9426
return92
numeric
185
6
8
4
4
1
11
9
15
10
7
8
13
3
2
10
10
3
9
6
13
7
3
8
6
10
1
8
13
8
13
10
14
15
8
11
10
8
12
7
8
5
9
15
19
16
6
10
1
7
4
13
7
15
0
6
12
8
10
7
7
7
4
11
12
10
5
1
10
11
5
13
7
7
10
17
7
8
8
14
12
0
11
4
25
3
18
20
13
8
6
13
17
3
10
9
8
4
20
5
11
28
2
15
8
13
10
22
-2
9
12
10
-1
-2
10
6
2
-9
16
3
1
41
4
-3
12
7
17
17
15
15
24
1
-2
-2
10
25
14
9
5
13
12
11
9
-2
20
9
16
0
8
20
18
8
14
-3
16
13
12
4
0
2
4
-3
-3
0
4
-8
-14
4
-6
-8
4
-3
-3
-7
-6
3
0
-5
-6
-6
-5
-11
-5
-1
-6
-11
class
character
1
data.frame
row.names
character
185
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
geyser1
structure
3
.Data
list
3
date
numeric
222
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
8
8
8
8
8
8
8
8
8
8
8
8
8
16
16
16
16
16
16
16
16
16
16
16
16
16
16
17
17
17
17
17
17
17
17
17
17
17
17
17
17
18
18
18
18
18
18
18
18
18
18
18
18
18
18
19
19
19
19
19
19
19
19
19
19
19
19
19
19
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
21
21
21
21
21
21
21
21
21
21
21
21
21
21
22
22
22
22
22
22
22
22
22
22
22
22
22
22
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
duration
numeric
222
4.4000000000000004
3.8999999999999999
4
4
3.5
4.0999999999999996
2.2999999999999998
4.7000000000000002
1.7
4.9000000000000004
1.7
4.5999999999999996
3.3999999999999999
4.2999999999999998
1.7
3.8999999999999999
3.7000000000000002
3.1000000000000001
4
1.8
4.0999999999999996
1.8
3.2000000000000002
1.8999999999999999
4.5999999999999996
2
4.5
3.8999999999999999
4.2999999999999998
2.2999999999999998
3.7999999999999998
1.8999999999999999
4.5999999999999996
1.8
4.7000000000000002
1.8
4.5999999999999996
1.8999999999999999
3.5
4
3.7000000000000002
3.7000000000000002
4.2999999999999998
3.6000000000000001
3.7999999999999998
3.7999999999999998
3.7999999999999998
2.5
4.5
4.0999999999999996
3.7000000000000002
3.7999999999999998
3.3999999999999999
4
2.2999999999999998
4.4000000000000004
4.0999999999999996
4.2999999999999998
3.2999999999999998
2
4.2999999999999998
2.8999999999999999
4.5999999999999996
1.8999999999999999
3.6000000000000001
3.7000000000000002
3.7000000000000002
1.8
4.5999999999999996
3.5
4
3.7000000000000002
1.7
4.5999999999999996
1.7
4
1.8
4.4000000000000004
1.8999999999999999
4.5999999999999996
2.8999999999999999
3.5
2
4.2999999999999998
1.8
4.0999999999999996
1.8
4.7000000000000002
4.2000000000000002
3.8999999999999999
4.2999999999999998
1.8
4.5
2
4.2000000000000002
4.4000000000000004
4.0999999999999996
4.0999999999999996
4
4.0999999999999996
2.7000000000000002
4.5999999999999996
1.8999999999999999
4.5
2
4.7999999999999998
4.0999999999999996
4.0999999999999996
4.2000000000000002
4.5
1.8999999999999999
4.7000000000000002
2
4.7000000000000002
2.5
4.2999999999999998
4.4000000000000004
4.4000000000000004
4.2999999999999998
4.5999999999999996
2.1000000000000001
4.7999999999999998
4.0999999999999996
4
4
4.4000000000000004
4.0999999999999996
4.2999999999999998
4
3.8999999999999999
3.2000000000000002
4.5
2.2000000000000002
4.7000000000000002
4.5999999999999996
2.2000000000000002
4.7999999999999998
4.2999999999999998
3.7999999999999998
4
4.0999999999999996
1.8
4.4000000000000004
4
2.2000000000000002
5.0999999999999996
1.8999999999999999
5
4.4000000000000004
4.5
3.7999999999999998
4.2999999999999998
4.4000000000000004
2.2000000000000002
4.7999999999999998
1.8999999999999999
4.7000000000000002
1.8
4.7999999999999998
2
4.4000000000000004
2.5
4.2999999999999998
4.4000000000000004
1.8999999999999999
4.7000000000000002
4.2999999999999998
2.2000000000000002
4.7000000000000002
2.2999999999999998
4.5999999999999996
3.2999999999999998
4.2000000000000002
2.8999999999999999
4.5999999999999996
3.2999999999999998
4.2000000000000002
2.6000000000000001
4.5999999999999996
3.7000000000000002
1.8
4.7000000000000002
4.5
4.5
4.7999999999999998
2
4.7999999999999998
1.8999999999999999
4.7000000000000002
2
5.0999999999999996
4.2999999999999998
4.7999999999999998
3
2.1000000000000001
4.5999999999999996
4
2.2000000000000002
5.0999999999999996
2.8999999999999999
4.2999999999999998
2.1000000000000001
4.7000000000000002
4.5
1.7
4.2000000000000002
4.2999999999999998
1.7
4.4000000000000004
4.2000000000000002
2.2000000000000002
4.7000000000000002
4
1.8
4.7000000000000002
1.8
4.5
2.1000000000000001
4.2000000000000002
2.1000000000000001
5.2000000000000002
2
interval
numeric
222
78
74
68
76
80
84
50
93
55
76
58
74
75
80
56
80
69
57
90
42
91
51
79
53
82
51
76
82
84
53
86
51
85
45
88
51
80
49
82
75
73
67
68
86
72
75
75
66
84
70
79
60
86
71
67
81
76
83
76
55
73
56
83
57
71
72
77
55
75
73
70
83
50
95
51
82
54
83
51
80
78
81
53
89
44
78
61
73
75
73
76
55
86
48
77
73
70
88
75
83
61
78
61
81
51
80
79
82
80
76
56
82
47
76
61
75
72
74
69
78
52
91
66
71
75
81
77
74
70
83
53
82
62
73
84
58
82
77
75
77
77
53
75
78
51
81
52
76
73
84
72
89
75
57
81
49
87
43
94
45
81
59
82
80
54
75
73
57
80
51
77
66
77
60
86
62
75
67
69
84
58
90
82
71
80
51
80
62
84
51
81
83
84
72
54
75
74
51
91
60
80
54
80
70
60
86
78
51
83
76
51
90
71
49
88
52
79
61
81
48
84
63
class
character
1
data.frame
row.names
character
222
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
geyser2
structure
3
.Data
list
3
duration
numeric
298
4
2.2000000000000002
N
N
N
N
4.4000000000000004
4.2999999999999998
2
4.7999999999999998
1.8
5.5
1.6000000000000001
4.9000000000000004
4.4000000000000004
1.8
4.7000000000000002
N
4.7999999999999998
4.2000000000000002
1.8999999999999999
5
N
N
N
N
2.7999999999999998
4.5
4.0999999999999996
3.7000000000000002
3.5
4.5
2.2000000000000002
4.9000000000000004
2.6000000000000001
4.2000000000000002
2.2000000000000002
4.7999999999999998
1.8
4.5999999999999996
2.2999999999999998
4.0999999999999996
N
N
N
N
1.8999999999999999
4.2999999999999998
2.1000000000000001
4.5
2.2000000000000002
4
1.8
4.2999999999999998
2.2000000000000002
4.5
3.8999999999999999
3.2999999999999998
3.7000000000000002
4
1.8999999999999999
5.2999999999999998
N
N
N
N
N
N
3.5
2.2000000000000002
4.5
2
4.2000000000000002
4.2000000000000002
4.2999999999999998
1.8999999999999999
4.7000000000000002
3.7999999999999998
4
4.2000000000000002
4.7000000000000002
1.8
N
N
N
N
4.5
2.1000000000000001
4.2999999999999998
1.8999999999999999
4.7000000000000002
1.7
4.4000000000000004
1.8
4.5999999999999996
1.8999999999999999
4.5
1.6000000000000001
5
1.8
5.0999999999999996
1.6000000000000001
4.2999999999999998
N
N
N
4.5
2
N
2.8999999999999999
4.7000000000000002
3.8999999999999999
2
4.0999999999999996
1.8
4.7000000000000002
1.8
4.7000000000000002
2.1000000000000001
4.7999999999999998
1.8
4.0999999999999996
4.7000000000000002
N
N
N
N
4.2000000000000002
4.0999999999999996
3.8999999999999999
3.7999999999999998
4.4000000000000004
2.5
4.2000000000000002
3.7999999999999998
4.2999999999999998
3.8999999999999999
4.7000000000000002
1.7
5
4.2999999999999998
4.5999999999999996
N
N
N
N
2
4.5999999999999996
0.80000000000000004
4.9000000000000004
1.7
4.5999999999999996
1.7
4.7999999999999998
1.8
4.5
1.8999999999999999
4.5
4.5
4
4.7999999999999998
N
N
N
N
1.8999999999999999
4.5999999999999996
2
3.7000000000000002
2.8999999999999999
4.7999999999999998
3.3999999999999999
4.4000000000000004
1.8
4.4000000000000004
2.5
4.5
2.1000000000000001
4.2999999999999998
4.2999999999999998
1.8
4.9000000000000004
1.8
N
N
N
3.8999999999999999
1.8999999999999999
4.7000000000000002
2
4.5
1.8999999999999999
4.2000000000000002
1.8999999999999999
4.2999999999999998
3.2999999999999998
4.2000000000000002
1.8999999999999999
5
1.8999999999999999
4
2
4.7999999999999998
N
N
N
N
2.3999999999999999
4.4000000000000004
4.2000000000000002
4.4000000000000004
2
4.5
1.8
4.5
1.6000000000000001
4.7000000000000002
2.6000000000000001
3.7000000000000002
4.2000000000000002
1.8999999999999999
4.4000000000000004
N
N
N
4.2000000000000002
4
4.0999999999999996
1.8999999999999999
4.5
2
4.2000000000000002
1.7
4.5
4.2999999999999998
4
4.4000000000000004
2
4.5
4.2999999999999998
1.8999999999999999
4.4000000000000004
N
N
N
N
3.2999999999999998
1.8
4.5999999999999996
1.8
4.5999999999999996
4.5999999999999996
4.5
1.8999999999999999
5
2
4.2999999999999998
4.2000000000000002
4.5
4.4000000000000004
4.5999999999999996
N
N
N
3.8999999999999999
N
4.5
1.8
4
2.7999999999999998
4.7000000000000002
4
2
5
1.8999999999999999
4.7999999999999998
N
N
N
N
N
N
N
N
N
1.8999999999999999
4.2999999999999998
1.7
4.7999999999999998
2
4.7000000000000002
1.8999999999999999
4.4000000000000004
2.1000000000000001
4.0999999999999996
2.1000000000000001
N
N
interval
numeric
298
71
57
80
75
55
60
86
77
56
81
50
89
54
90
73
60
83
65
82
84
54
85
58
79
57
88
68
76
78
74
85
75
65
76
58
91
50
87
48
93
54
86
53
78
52
83
60
87
49
80
60
92
43
89
60
84
69
74
71
108
50
77
57
80
61
82
48
81
73
62
79
54
80
73
81
62
81
71
79
81
74
59
81
66
87
53
80
50
87
51
82
58
81
49
92
50
88
62
93
56
89
51
79
58
82
52
88
52
78
69
75
77
53
80
55
87
53
85
61
93
54
76
80
81
59
86
78
71
77
76
94
75
50
83
82
72
77
75
65
79
72
78
77
79
75
78
64
80
49
88
54
85
51
96
50
80
78
81
72
75
78
87
69
55
83
49
82
57
84
57
84
73
78
57
79
57
90
62
87
78
52
98
48
78
79
65
84
50
83
60
80
50
88
50
84
74
76
65
89
49
88
51
78
85
65
75
77
69
92
68
87
61
81
55
93
53
84
70
73
93
50
87
77
74
72
82
74
80
49
91
53
86
49
79
89
87
76
59
80
89
45
93
72
71
54
79
74
65
78
57
87
72
84
47
84
57
87
68
86
75
73
53
82
93
77
54
96
48
89
63
84
76
62
83
50
85
78
78
81
78
76
74
81
66
84
48
93
47
87
51
78
54
87
52
85
58
88
79
longshrt
numeric
298
1
0
1
1
1
0
1
1
0
1
0
1
0
1
1
0
1
0
1
1
0
1
0
1
0
1
0
1
1
1
1
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
1
1
1
1
0
1
0
1
0
1
0
1
1
0
1
0
1
1
1
0
1
1
1
1
1
0
1
N
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
1
0
1
0
1
0
1
0
1
0
1
1
1
0
1
1
1
1
1
1
1
0
1
1
1
1
1
0
1
1
1
1
1
1
1
0
1
0
1
0
1
0
1
0
1
0
1
1
1
1
1
1
0
1
0
1
0
1
0
1
1
1
0
1
0
1
0
1
1
0
1
0
1
1
1
1
0
1
0
1
0
1
0
1
1
1
0
1
0
1
0
1
1
0
1
1
0
1
1
1
0
1
0
1
0
1
0
1
1
0
1
1
1
1
1
1
1
0
1
0
1
0
1
1
1
1
0
1
1
0
1
N
1
0
1
1
0
1
0
1
1
1
0
1
0
1
1
1
1
1
0
1
1
1
0
1
0
1
0
1
1
0
1
0
1
1
1
1
1
1
1
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
1
class
character
1
data.frame
row.names
character
298
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
health
structure
3
.Data
list
5
state
structure
3
.Data
integer
50
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
25
24
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
46
45
44
47
49
48
50
.Label
character
50
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennslyvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
class
character
1
factor
region
structure
3
.Data
integer
50
2
6
4
9
6
4
5
7
7
7
6
4
1
1
8
8
2
9
5
7
5
1
8
8
2
4
8
4
5
3
4
3
7
8
1
9
6
3
5
7
8
2
9
7
5
4
6
1
7
4
.Label
character
9
East North Central
East South Central
Middle Atlantic
Mountain
North East
Pacific
South Atlantic
West North Central
West South Central
class
character
1
factor
reg
numeric
50
5
9
8
6
9
8
1
3
3
3
9
8
4
4
7
7
5
6
1
3
1
4
7
7
5
8
7
8
1
2
8
2
3
7
4
6
9
2
1
3
7
5
6
3
1
8
9
4
3
8
hlthspnd
numeric
50
1833
1801
1712
1673
1914
1807
2080
2028
2037
1884
1889
1234
1840
1738
1657
1727
1713
1960
1592
1918
2402
1856
1969
1983
1440
1440
1754
1771
1735
1887
1582
2134
1631
2083
1859
1553
1573
2105
1916
1558
1736
2009
1742
1722
1454
1434
1691
1762
1832
1301
pctpci
numeric
50
11.800000000000001
8.1999999999999993
10.4
11.300000000000001
9.0999999999999996
9.3000000000000007
8
10
10.800000000000001
10.800000000000001
8.9000000000000004
8
8.8000000000000007
10.1
9.5
9.3000000000000007
11
12.9
9.1999999999999993
8.6999999999999993
10.5
9.9000000000000004
10.300000000000001
11.1
10.800000000000001
9
9.8000000000000007
9.1999999999999993
8.3000000000000007
7.4000000000000004
10.699999999999999
9.5
9.8000000000000007
12.9
10.4
9.8000000000000007
8.9000000000000004
11
8.6999999999999993
10.1
10.6
12.300000000000001
10.1
8.5999999999999996
8.1999999999999993
9.9000000000000004
8.6999999999999993
9.8000000000000007
12.9
7.5999999999999996
class
character
1
data.frame
row.names
character
50
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
hockey1
structure
3
.Data
list
4
team
structure
3
.Data
integer
24
16
1
4
17
5
10
22
21
3
23
8
12
24
11
2
19
15
9
13
6
7
20
18
14
.Label
character
24
Boston Bruins
Buffalo Sabres
Calgary Flames
Chicago Blackhawks
Detroit Red Wings
Edmonton Oilers
Hartford Whalers
Los Angeles Kings
Minnesota North Stars
Montreal Canadiens
New Jersey Devils
New York Islanders
New York Rangers
Ottawa Senators
Philadelphia Flyers
Pittsburgh Penguins
Quebec Nordiques
San Jose Sharks
St. Louis Blues
Tampa Bay Lightning
Toronto Maple Leafs
Vancouver Canucks
Washington Capitals
Winnipeg Jets
class
character
1
factor
points
numeric
24
119
109
106
104
103
102
101
99
97
93
88
87
87
87
86
85
83
82
79
60
58
53
24
24
gf
numeric
24
367
332
279
351
369
326
346
288
322
325
338
335
322
309
335
282
319
272
304
242
284
245
218
202
ga
numeric
24
268
268
230
300
280
280
278
241
282
286
340
298
320
299
297
278
319
293
308
337
369
332
414
395
class
character
1
data.frame
row.names
character
24
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
hockey2
structure
3
.Data
list
5
team
structure
3
.Data
integer
72
7
16
3
8
11
23
22
1
13
19
6
14
4
18
17
20
10
9
21
2
12
13
7
11
1
10
2
14
16
18
23
21
3
17
19
4
22
9
8
20
6
5
4
1
6
14
11
19
20
17
10
15
16
9
11
4
20
6
1
14
6
11
1
4
20
14
6
1
20
11
4
14
.Label
character
23
Boston Bruins
Buffalo Sabres
Calgary Flames
Chicago Black Hawks
Colorado Rockies
Detroit Red Wings
Edmonton Oilers
Hartford Whalers
Los Angeles Kings
Minnesota North Stars
Montreal Canadiens
New Jersey Devils
New York Islanders
New York Rangers
Oakland Golden Seals
Philadelphia Flyers
Pittsburgh Penguins
Quebec Nordiques
St. Louis Blues
Toronto Maple Leafs
Vancouver Canucks
Washington Capitals
Winnipeg Jets
class
character
1
factor
points
numeric
72
106
100
95
93
92
88
86
85
82
79
78
76
72
72
72
70
70
70
66
64
64
118
111
109
96
94
93
92
87
82
80
77
75
75
72
72
65
63
60
56
54
49
99
99
95
92
92
86
71
64
60
58
58
38
90
82
79
74
48
47
90
75
69
69
67
50
61
57
53
50
49
30
gf
numeric
72
372
310
318
287
277
279
285
301
279
281
260
307
290
267
297
286
296
318
282
280
293
385
417
360
323
346
307
316
325
356
319
290
334
310
315
332
319
314
264
298
270
241
250
277
246
246
244
224
222
182
224
169
197
168
239
240
208
221
174
195
222
155
152
169
156
152
169
195
198
181
179
161
ga
numeric
72
284
245
289
270
241
271
278
276
281
293
274
323
310
276
290
319
314
341
314
308
368
250
295
223
285
288
273
306
313
345
332
286
345
337
349
363
338
369
351
380
351
362
170
216
199
189
201
179
242
238
257
243
225
290
173
187
187
194
275
261
133
148
172
175
167
211
124
176
159
191
180
253
team
numeric
72
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1982
1970
1970
1970
1970
1970
1970
1970
1970
1970
1970
1970
1970
1966
1966
1966
1966
1966
1966
1953
1953
1953
1953
1953
1953
1943
1943
1943
1943
1943
1943
class
character
1
data.frame
row.names
character
72
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
liinc
structure
3
.Data
list
3
community
structure
3
.Data
integer
257
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
70
71
69
72
73
74
76
77
75
78
79
80
81
82
83
84
86
87
88
89
85
90
91
92
93
94
95
96
97
99
98
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
180
181
179
182
183
185
184
186
187
188
189
190
191
192
193
194
195
196
198
199
200
197
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
257
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
.Label
character
257
Albertson
Amagansett
Amityville
Asharoken
Atlantic Beach
Babylon Village
Baldwin
Baldwin Harbor
Barnum Island
Baxter Estates
Bay Shore
Bayport
Bayville
Baywood
Belle Terre
Bellerose
Bellmore
Bellport
Bethpage
Blue Point
Bohemia
Brentwood
Bridgehampton
Brightwaters
Brookhaven
Brookville
Calverton
Carle Place
Cedarhurst
Center Moriches
Centereach
Centerport
Central Islip
Centre Island
Cold Spring Harbor
Commack
Copiague
Coram
Cove Neck
Cutchogue
Deer Park
Dering Harbor
Dix Hills
East Farmingdale
East Hampton Village
East Hills
East Islip
East Massapequa
East Meadow
East Moriches
East Northport
East Norwich
East Patchogue
East Quogue
East Rockaway
East Shoreham
East Williston
Eatons Neck
Elmont
Elwood
Farmingdale
Farmingville
Flanders
Floral Park
Flower Hill
Fort Salonga
Franklin Square
Freeport
Garden City
Garden City Park
Garden City South
Glen Cove City
Glen Head
Glenwood Landing
Great Neck
Great Neck Estates
Great Neck Plaza
Greenlawn
Greenport
Greenport West
Halesite
Hampton Bays
Hauppauge
Head of the Harbor
Helwett Harbor
Hempstead Village
Herricks
Hewlett
Hewlett Bay Park
Hewlett Neck
Hicksville
Holbrook
Holtsville
Huntington
Huntington Bay
Huntington Station
Inwood
Island Park
Islandia
Islip
Islip Terrace
Jamesport-Aquebogue
Jericho
Kensington
Kings Park
Kings Point
Lake Grove
Lake Ronkonkoma
Lake Success
Lakeview
Lattingtown
Laurel
Laurel Hollow
Lawrence
Levittown
Lido Beach
Lindenhurst
Lloyd Harbor
Locust Valley
Long Beach City
Lynbrook
Malverne
Manhasset
Manhasset Hills
Manorhaven
Manorville
Massapequa
Massapequa Park
Mastic
Mastic Beach
Matinecock
Mattituck
Medford
Melville
Merrick
Middle Island
Mill Neck
Miller Place
Mineola
Montauk
Mount Sinai
Munsey Park
Muttontown
Nesconset
New Cassel
New Hyde Park
Nissequogue
North Amityville
North Babylon
North Bay Shore
North Bellmore
North Bellport
North Great River
North Haven
North Hills
North Lindenhurst
North Massapequa
North Merrick
North New Hyde Park
North Patchogue
North Valley Stream
North Wantagh
Northport
Northwest Harbor
Noyack-Water Mill
Oakdale
Ocean Beach
Oceanside
Old Bethpage
Old Brookville
Old Field
Old Westbury
Oyster Bay
Oyster Bay Cove
Patchogue
Peconic
Plainedge
Plainview
Plandome
Plandome Heights
Plandome Manor
Poospatuck
Poquott
Port Jefferson
Port Jefferson Station
Port Washington
Port Washington North
Quogue
Remsenburg-Speonk
Ridge
Riverhead
Riverside-Pine Valley
Rockville Centre
Rocky Point
Ronkonkoma
Roosevelt
Roslyn
Roslyn Estates
Roslyn Harbor
Roslyn Heights
Russell Gardens
Saddle Rock
Sag Harbor
Salisbury
Saltaire
Sands Point
Sayville
Sea Cliff
Seaford
Searingtown
Selden
Setauket-East Setauket
Shelter Island
Shelter Island Heights
Shinnecock
Shinnecock Hills
Shirley
Shoreham
Smithtown
Sound Beach
South Farmingdale
South Floral Park
South Hempstead
South Huntington
South Valley Stream
Southampton
Southold
Springs
St. James
Stewart Manor
Stony Brook
Syosset
Terryville
Thomaston
Uniondale
University Gardens
Upper Brookville
Valley Stream
Wading River
Wantagh
West Babylon
West Bay Shore
West Hempstead
West Hills
West Islip
West Sayville
Westbury
Westhampton
Westhampton Beach
Wheatley Heights
Williston Park
Woodbury
Woodmere
Woodsburgh
Wyandanch
Yaphank
Village of the Branch
class
character
1
factor
income79
numeric
257
47838
27919
39294
95159
54167
41908
44383
54304
42275
48242
20872
41545
43192
40248
74205
56255
46880
46755
46698
38715
36278
39489
30897
52590
44676
105979
17818
39799
41218
32597
41695
44260
34706
67170
58245
53188
37987
40422
65621
32344
42777
133502
63256
36567
35696
94865
39858
48818
46948
36116
46234
55442
34087
29991
41339
54068
63039
64384
38101
51223
37368
38174
17969
41408
91748
57503
39468
35545
44954
43642
64929
40050
43145
51481
92975
33364
53968
45851
18856
34025
56880
28234
46351
70098
30232
50118
44557
133502
133502
125802
45716
40968
40981
50020
87354
38717
21912
43773
30303
38838
40217
37035
62982
104123
45000
128856
37864
36857
92065
45767
64197
40050
89470
66001
45378
53672
37330
100734
41773
29028
40520
49555
53884
78316
39174
31830
48238
51819
29911
19671
66919
37257
39849
60374
54885
32980
75200
46341
39235
28825
42962
87978
89945
44381
36122
41070
72610
31862
43354
37821
48188
30077
43048
35956
92195
38177
49899
48375
45433
34137
46029
51317
42821
31668
30424
43268
28480
48548
56948
97368
76987
98699
37227
100385
20968
30340
45522
56729
74425
107092
93762
N
38359
37416
45445
48622
52389
40235
33724
28863
20118
12408
46150
21851
37802
38768
109840
90052
52875
41794
88509
102103
27378
51266
133502
133502
39082
42983
47627
80207
35351
49285
22099
33603
29096
29427
32019
57455
50080
35677
48259
41225
46659
45118
57740
33014
31869
27469
42316
49212
53234
56882
42462
58001
39828
51387
92558
42004
57288
37197
50189
38671
48836
45481
57615
45810
38286
46554
28614
35563
51405
43868
66038
66732
105305
29614
32873
income89
numeric
257
49676
34705
46442
84064
72812
52023
53994
63421
60709
58031
37702
54368
55511
46528
100000
73990
58203
53062
52533
52044
47241
48665
41397
66935
47903
98700
21152
47111
52119
42737
50224
58544
42434
82969
76608
62014
45738
49135
112114
42766
48117
125000
79154
48125
46771
111521
52796
57717
54511
48361
52108
67814
41052
33607
50818
64725
72678
71520
44452
63700
46667
47354
37271
51344
107582
68464
46186
43948
51553
45625
74478
42982
53746
60775
117706
46316
60567
52601
25563
30926
64745
35736
57959
86135
36715
56231
60554
150001
150001
150001
50794
51211
51400
62121
98626
45775
27595
52238
45020
50459
51796
36867
75043
110522
53155
140838
48164
45485
97095
50279
94557
36953
133460
78815
52866
77279
46615
130720
50145
41495
45453
60310
66902
81445
43239
39683
60345
58773
39512
35776
97155
36415
50190
72581
65383
41103
88030
60162
44635
31849
57535
108553
119981
60204
48314
47023
87852
35694
51976
47275
56075
37722
56911
37308
110711
49025
55273
60233
51987
45874
53618
55488
57733
41558
38117
57291
26250
53875
62308
116731
103403
137518
47679
150001
34173
42031
57071
66095
73948
130183
110644
20781
62216
47873
54620
64224
61722
52031
51303
31878
28491
19671
55476
37974
47748
43559
118093
105326
63013
53337
87032
113346
35952
57580
25714
134484
53806
46672
55259
85337
46298
66727
37159
41339
29464
31735
41602
77959
61455
44944
54437
44453
57218
54865
59080
38770
36288
41754
51571
63545
63244
65806
54131
63393
46917
64187
128993
47287
68998
51838
60134
47067
54947
52271
67805
57081
49028
52114
41806
42143
57495
50496
91102
79623
91909
34421
44569
class
character
1
data.frame
row.names
character
257
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
lischool
structure
3
.Data
list
4
district
structure
3
.Data
integer
56
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
52
50
51
53
54
55
56
.Label
character
56
Baldwin
Bellmore
Bellmore - Merrick
Bethpage
Carle Place
East Meadow
East Rockaway
East Williston
Elmont
Farmingdale
Floral Park
Franklin Square
Freeport
Garden City
Glen Cove
Great Neck
Hempstead
Herricks
Hewlett Woodmere
Hicksville
Island Park
Island Trees
Jericho
Lawrence
Levittown
Locust Valley
Long Beach
Lynbrook
Malverne
Manhasset
Massapequa
Merrick
Mineola
New Hyde Park
North Bellmore
North Merrick
North Shore
Oceanside
Oyster Bay - East Norwich
Plainedge
Plainview - Old Bethpage
Port Washington
Rockville Centre
Roosevelt
Roslyn
Seaford
Sewanhaka
Syosset
Uniondale
Valley Stream 13
Valley Stream 24
Valley Stream 30
Valley Stream Central
Wantagh
West Hempstead
Westbury
class
character
1
factor
legislat
numeric
56
5
19
19
17
11
13
6
11
3
14
8
3
1
8
18
10
2
11
7
17
7
15
17
4
15
18
4
6
8
9
12
19
11
9
13
13
18
7
17
14
16
10
5
1
10
19
3
16
1
6
6
6
6
13
8
2
enroll
numeric
56
4658
950
4706
2460
1439
7446
1131
1377
3301
5400
1544
1577
6099
2977
2928
5383
5418
3432
2803
4498
819
2117
2033
3680
6569
1917
4149
2517
1817
2253
6678
1659
2659
1282
1969
1143
1985
5235
1287
2820
4239
3676
3170
2975
2468
2280
6388
5176
4811
1199
2003
906
3336
2703
2184
2927
white
numeric
56
3549
912
4470
2300
1273
6612
1063
1232
1472
4649
1386
1395
1713
2783
1730
4370
21
2416
2522
3580
714
1951
1787
2693
6174
1748
2626
2303
728
1793
6517
1605
2191
1025
1825
1048
1855
4858
1096
2693
4018
2598
2634
8
2001
2191
4343
4415
437
974
1826
782
2842
2602
1799
201
class
character
1
data.frame
row.names
character
56
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
mort
structure
3
.Data
list
4
lender
structure
3
.Data
integer
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
.Label
character
20
Anchor Savings
Bank of the Hamptons
Bay Ridge Federal
Brooklyn Federal
Chemical Bank
Citibank
Columbia Federal
Countrywide Funding
Dale Mortgage Bankers
EAB
East NY Savings Bank
Fairmont Funding
GMAC Mortgage
Home Federal Savings
Maspeth Federal
Ridgewood Savings
Roosevelt Savings
Roslyn Savings Bank
The Mortgage Corner
Triumphe Financial
class
character
1
factor
type
numeric
20
0
0
1
1
0
0
0
0
0
1
1
0
1
0
0
1
0
0
0
0
rate
numeric
20
7.875
7.125
5
4.5
7.5
7.125
7.5
7.5
6.75
6
5.25
7.25
4.25
7.25
8
4.5
8
6.875
7.375
6.875
points
numeric
20
0
1.5
2
1.5
2
2
2
0
2.75
1.75
0
3.5
2.5
2
0
2
0
2
2
2.25
class
character
1
data.frame
row.names
character
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
nba
structure
3
.Data
list
10
name
structure
3
.Data
integer
105
78
65
23
40
69
12
42
32
90
91
71
77
60
100
64
45
51
68
80
59
92
54
47
43
19
98
15
6
30
61
49
48
50
53
29
34
89
74
105
11
62
1
21
10
82
5
58
103
25
73
41
93
17
76
35
3
55
4
66
99
2
33
39
24
31
75
104
46
28
63
95
20
102
79
96
86
13
27
84
16
97
88
72
101
70
26
37
9
44
36
87
14
85
81
52
94
18
57
56
67
38
83
22
8
7
.Label
character
105
A. Bowie
A. Johnson
A. Peeler
A. Robertson
B. Coles
B. J. Armstrong
B. Kimble
B. Phills
B. Price
B. Shaw
B. Smith
C. Drexler
C. Smith
C. Williams
D. Ainge
D. Barros
D. Brown
D. Cooper
D. Harper
D. Overton
D. Rivers
D. Walker
D. West
D. Young
E. Murdock
F. Johnson
G. Anthony
G. Grant
G. Payton
G. Wilkins
H. Davis
H. Hawkins
H. Miner
I. Thomas
J. Bagley
J. Barry
J. Battle
J. Crotty
J. Dawkins
J. Dumars
J. Hamphries
J. Hornacek
J. Jackson
J. Les
J. Malone
J. Paxson
J. Starks
J. Stockton
K. Anderson
K. Edwards
K. Gill
K. Jennings
K. Johnson
K. Smith
L. Daniels
L. Green
L. Mayberry
L. Smith
L. Sprewell
M. Abdul-Rauf
M. Adams
M. Blaylock
M. Cheeks
M. Jackson
M. Jordan
M. Macon
M. Newbern
M. Price
M. Richmond
M. Wiley
M. Williams
N. Knight
P. Richardson
R. Blackman
R. Brown
R. Chapman
R. Harper
R. Miller
R. Pack
R. Pierce
R. Robinson
R. Strickland
R. Woods
S. Brooks
S. Douglas
S. Floyd
S. Green
S. Henson
S. Marciulionis
S. Skiles
S. Smith
S. Threatt
S. Webb
T. Bennett
T. Bogues
T. Brandon
T. George
T. Hardaway
T. Legler
T. Porter
T. Smith
T. Tucker
V. D. Negro
V. Fleming
V. Maxwell
class
character
1
factor
height
numeric
105
201
198
198
191
196
201
193
191
185
203
188
198
185
191
191
193
196
183
193
196
188
191
196
198
193
183
196
188
198
178
185
185
191
185
193
185
196
198
193
196
185
198
193
198
191
188
191
193
185
185
191
170
185
193
210
193
201
193
196
193
180
196
188
193
196
191
196
188
191
188
160
191
196
188
183
191
191
188
180
180
196
185
185
193
193
185
188
185
180
196
196
188
185
188
170
183
185
185
185
193
185
183
193
196
193
games
numeric
105
82
78
80
76
45
49
79
81
79
48
76
81
80
81
82
79
69
75
77
77
82
82
79
28
61
66
81
81
81
69
55
82
40
49
82
80
30
59
72
39
80
77
77
68
78
80
68
74
80
74
79
69
81
60
10
76
78
69
47
33
75
73
74
63
50
75
74
59
74
35
82
45
68
77
82
53
79
70
82
70
49
54
51
55
57
78
41
68
72
46
13
35
79
79
8
74
64
81
53
33
39
40
37
31
9
minutes
numeric
105
2954
3067
3104
3094
1728
1671
2860
2977
3036
1610
2661
2970
2710
2883
3117
2558
2430
2380
2218
2741
2893
2422
2477
938
2108
2609
2163
2492
2079
2499
2010
2863
1134
1643
2548
2922
836
1434
2251
865
2820
1761
1886
1603
2474
2232
1546
1526
2437
2396
2034
2335
2254
1300
97
1656
1573
2006
1141
635
2030
1383
1598
836
815
1726
1503
1030
1624
510
2833
990
909
1579
1622
867
1266
1699
1516
1243
380
719
888
752
995
1122
497
859
881
552
81
242
1932
1585
136
857
645
1503
626
311
243
174
511
139
55
age
numeric
105
28
30
26
30
28
31
30
27
29
24
27
29
24
30
28
32
25
29
34
23
32
28
28
23
32
27
34
26
30
30
23
31
28
27
25
32
29
34
28
23
26
30
32
27
27
25
24
27
25
27
31
30
25
26
33
24
26
31
24
27
28
22
30
31
23
25
31
33
28
37
28
24
34
24
28
33
23
26
28
26
25
25
26
25
27
35
31
25
30
24
23
23
27
27
25
24
24
23
23
26
24
23
32
24
27
ppg
numeric
105
21.199999999999999
32.600000000000001
19.300000000000001
23.5
21.899999999999999
19.899999999999999
19.100000000000001
20.300000000000001
15.4
16
15.1
18
19.199999999999999
18.199999999999999
14.4
18.100000000000001
16.899999999999999
18.199999999999999
18.199999999999999
15.4
15.1
13
17.5
16.300000000000001
18.199999999999999
21.5
11.800000000000001
12.300000000000001
11.1
14.800000000000001
16.899999999999999
15.1
13.9
16.100000000000001
13.5
17.600000000000001
17.399999999999999
9.6999999999999993
13.800000000000001
8.9000000000000004
13.4
8
7.7999999999999998
7.2999999999999998
13.699999999999999
10.6
9.3000000000000007
7.4000000000000004
14.4
10.4
8.8000000000000007
14.5
10.9
12.5
2.2999999999999998
10.4
9.0999999999999996
9
7.5
8.8000000000000007
8.6999999999999993
10.300000000000001
8.9000000000000004
2.8999999999999999
5.4000000000000004
7.5999999999999996
9.5
4.2000000000000002
6.5999999999999996
3.6000000000000001
10
8.0999999999999996
5.2000000000000002
10.5
8.8000000000000007
6.5999999999999996
4.2999999999999998
6.5999999999999996
6.2999999999999998
7.7999999999999998
2.5
4
6.0999999999999996
6
4.5
4.2999999999999998
5.4000000000000004
3.8999999999999999
4.5
4.4000000000000004
4.7999999999999998
2.2999999999999998
7.7999999999999998
8.4000000000000004
8.5999999999999996
3.7000000000000002
2.3999999999999999
5.2000000000000002
4.5
3.6000000000000001
2.6000000000000001
1.7
2.2000000000000002
3
3.7000000000000002
apg
numeric
105
3.2000000000000002
5.5
2.8999999999999999
4
4.9000000000000004
5.7000000000000002
6.9000000000000004
3.8999999999999999
9.4000000000000004
5.5999999999999996
8.6999999999999993
4.5
4.2000000000000002
5.2000000000000002
8.8000000000000007
1.6000000000000001
3.8999999999999999
8
2.8999999999999999
3.7999999999999998
6.9000000000000004
5.4000000000000004
5.0999999999999996
4.7000000000000002
5.4000000000000004
10.6
3.2999999999999998
4
2.2999999999999998
7.5
8.1999999999999993
12
3
7.7999999999999998
4.9000000000000004
8.5
3.5
2.6000000000000001
4.2000000000000002
1.3
8.4000000000000004
2.2999999999999998
5.2999999999999998
3.5
7.2000000000000002
4.5999999999999996
2.7000000000000002
4
7.5999999999999996
7.7000000000000002
4.0999999999999996
7
5.7999999999999998
1.8999999999999999
2
2.2000000000000002
1.8999999999999999
1.6000000000000001
2.6000000000000001
1.3999999999999999
7.5
1
4.5999999999999996
1.8
1.7
2.6000000000000001
3
2.2999999999999998
4.7999999999999998
3.1000000000000001
8.8000000000000007
3.5
1.2
4.4000000000000004
3.7000000000000002
2.5
2.5
5.7000000000000002
3
2.2000000000000002
1.2
2.8999999999999999
2.7999999999999998
1.1000000000000001
3.1000000000000001
2.3999999999999999
1.3
2.2999999999999998
2.2999999999999998
1.3999999999999999
0.5
0.69999999999999996
6.4000000000000004
4
2.8999999999999999
1.8
2.2999999999999998
3.2999999999999998
2.2000000000000002
1.7
1.3999999999999999
1
1.3999999999999999
0.29999999999999999
0.40000000000000002
rpg
numeric
105
3.1000000000000001
6.7000000000000002
3.1000000000000001
1.8999999999999999
3.3999999999999999
6.2999999999999998
4.2999999999999998
4.2999999999999998
3.7000000000000002
4.0999999999999996
3.6000000000000001
5.2999999999999998
2.7999999999999998
3.8999999999999999
4.7000000000000002
2.2000000000000002
4.9000000000000004
2.7000000000000002
2.5
3.5
3.2999999999999998
2
2.6000000000000001
4.4000000000000004
2
4
2.7000000000000002
1.8
2.7000000000000002
3.3999999999999999
4.0999999999999996
2.8999999999999999
3
2.1000000000000001
3.3999999999999999
2.8999999999999999
3.2000000000000002
1.7
3.1000000000000001
3.2000000000000002
3.5
2.5
2.5
3.7999999999999998
4.2999999999999998
2
1.5
2.2000000000000002
3.6000000000000001
3.6000000000000001
1.8
2.7999999999999998
3.1000000000000001
1.5
0.69999999999999996
2.2999999999999998
2.7999999999999998
3.8999999999999999
2.1000000000000001
1.8
1.8999999999999999
2
1.8
0.69999999999999996
1.1000000000000001
2.7999999999999998
2.2999999999999998
0.80000000000000004
1.8999999999999999
1.2
3.7000000000000002
2.3999999999999999
1
2.1000000000000001
2.2000000000000002
1.7
1.2
2.3999999999999999
1.2
1.6000000000000001
0.59999999999999998
1
1.2
1.6000000000000001
1.6000000000000001
1.5
0.69999999999999996
1.5
1.2
0.90000000000000002
0.69999999999999996
0.90000000000000002
2.1000000000000001
2
1.3999999999999999
0.80000000000000004
0.80000000000000004
1.3999999999999999
0.69999999999999996
1.1000000000000001
0.40000000000000002
0.29999999999999999
1.6000000000000001
0.5
1.2
fgp
numeric
105
47.899999999999999
49.5
51.700000000000003
46.600000000000001
47.399999999999999
42.899999999999999
47
47
46.700000000000003
45.100000000000001
44.600000000000001
45.100000000000001
45
45.399999999999999
48.600000000000001
49.399999999999999
44.899999999999999
48.399999999999999
48.899999999999999
46.399999999999999
50.799999999999997
52
42.799999999999997
39.5
41.899999999999999
44.700000000000003
46.200000000000003
49.899999999999999
45.299999999999997
43.899999999999999
43.5
48.600000000000001
46.799999999999997
49.899999999999999
49.399999999999999
41.799999999999997
54.299999999999997
44.299999999999997
40.700000000000003
44.600000000000001
42.899999999999999
47.100000000000001
43.700000000000003
39.299999999999997
48.5
46.399999999999999
45.799999999999997
50.700000000000003
46.799999999999997
47.899999999999999
43.600000000000001
43.299999999999997
46.799999999999997
47.700000000000003
36
46.799999999999997
44.299999999999997
45.799999999999997
41.5
43.600000000000001
50.200000000000003
47.5
43.700000000000003
41.299999999999997
43.799999999999997
46.299999999999997
50.5
45.100000000000001
44.100000000000001
54.799999999999997
45.299999999999997
47.100000000000001
48.5
47
47.799999999999997
40.700000000000003
43.299999999999997
41.5
47.5
45.100000000000001
37.799999999999997
39
39.100000000000001
48.399999999999999
37.799999999999997
43.600000000000001
41.5
35.799999999999997
42.5
36.899999999999999
50.899999999999999
36.5
49.799999999999997
42.299999999999997
59.5
42.299999999999997
39.200000000000003
45.600000000000001
43.899999999999999
37.200000000000003
51.399999999999999
34.799999999999997
35.399999999999999
46.299999999999997
42.399999999999999
ftp
numeric
105
88
83.700000000000003
84.099999999999994
86.400000000000006
84.5
83.900000000000006
86.5
86
89.200000000000003
78.700000000000003
90.700000000000003
76.900000000000006
93.5
84.299999999999997
80.299999999999997
85.200000000000003
77.200000000000003
94.799999999999997
88.900000000000006
74.599999999999994
82.299999999999997
87.799999999999997
79.5
73.900000000000006
75.599999999999994
77.400000000000006
84.799999999999997
86.099999999999994
84
85.599999999999994
77.599999999999994
79.799999999999997
84.400000000000006
81.900000000000006
77
73.700000000000003
76.099999999999994
78.900000000000006
71.900000000000006
83.200000000000003
72.799999999999997
79.799999999999997
82.099999999999994
78.200000000000003
71.700000000000003
80.5
85.799999999999997
86.299999999999997
78
74.200000000000003
77.700000000000003
85.099999999999994
79.299999999999997
81
83.299999999999997
78.599999999999994
72.700000000000003
65.599999999999994
70
80.299999999999997
79.099999999999994
76.200000000000003
79.599999999999994
87.5
79.599999999999994
73.200000000000003
72.599999999999994
85
74.299999999999997
88.900000000000006
83.299999999999997
72.799999999999997
81.799999999999997
76.799999999999997
82.5
79.400000000000006
79.200000000000003
67.299999999999997
83
83.099999999999994
83.299999999999997
85
77.900000000000006
75.599999999999994
65.400000000000006
77.599999999999994
77.799999999999997
79.400000000000006
84
67.299999999999997
75
81.799999999999997
56
57.399999999999999
77.799999999999997
73.200000000000003
71.400000000000006
57.399999999999999
62.5
56.700000000000003
68.400000000000006
73.099999999999994
46.200000000000003
60
37.5
class
character
1
data.frame
row.names
character
105
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
nyseotc
structure
3
.Data
list
2
nasdaqret
numeric
30
-0.1053
0.066699999999999995
-0.071400000000000005
-0.029399999999999999
0.042299999999999997
-0.016899999999999998
-0.018200000000000001
-0.10920000000000001
0.019199999999999998
-0.070699999999999999
-0.039600000000000003
-0.038100000000000002
0.045900000000000003
0.0038
0.015599999999999999
-0.054100000000000002
0.0077999999999999996
-0.039800000000000002
0.1176
0.0057000000000000002
-0.032300000000000002
0.047600000000000003
0.12239999999999999
-0.039
-0.056300000000000003
-0.013899999999999999
0.0172
-0.042299999999999997
-0.022100000000000002
-0.0080999999999999996
nyseret
numeric
30
-0.0246
-0.0212
0.078899999999999998
-0.025000000000000001
-0.020799999999999999
-0.029899999999999999
0.0060000000000000001
-0.029000000000000001
0.043499999999999997
0.089099999999999999
-0.010200000000000001
0.026599999999999999
-0.049000000000000002
-0.01
0.056599999999999998
0.063200000000000006
0.0097999999999999997
-0.027
-0.0252
0.023
-0.058799999999999998
-0.0112
0.048399999999999999
-0.0178
0.025000000000000001
-0.018499999999999999
0.0061999999999999998
0.0057000000000000002
0.0112
0.0025999999999999999
class
character
1
data.frame
row.names
character
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
pcb
structure
3
.Data
list
3
bay
structure
3
.Data
integer
37
6
18
27
4
5
22
14
37
25
13
16
24
7
33
35
36
1
20
26
19
2
28
11
30
29
12
34
31
32
3
10
8
23
9
15
17
21
.Label
character
37
Apalachicola Bay
Barataria Bay
Bodega Bay
Boston Harbor
Buzzards' Bay
Casco Bay
Charleston Harbor
Columbia River Mouth
Commencement Bay
Coos Bay
Corpus Christi Bay
Dana Point
Delaware Bay
E. Long Island Sound
Elliott Bay
Lower Chesapeake Bay
Lutak Inlet
Merrimack River
Mississippi R. Delta
Mobile Bay
Nahku Bay
Narragansett Bay
Nisqually Beach
Pamilico Sound
Raritan Bay
Round Island
Salem Harbor
San Antonio Bay
San Diego Bay
San Diego Harbor
San Pedro Canyon
Santa Monica Bay
Sapelo Sound
Seal Beach
St. Johns River
Tampa Bay
W. Long Island Sound
class
character
1
factor
pcb84
numeric
37
95.280000000000001
52.969999999999999
533.58000000000004
17104.860000000001
308.45999999999998
159.96000000000001
10
234.43000000000001
443.88999999999999
2.5
51
0
9.0999999999999996
0
140
0
12
0
0
34
0
0
0
422.10000000000002
6.7400000000000002
7.0599999999999996
46.710000000000001
159.56
14
4.1799999999999997
3.1899999999999999
8.7699999999999996
4.2300000000000004
20.600000000000001
20.600000000000001
5.5
6.5999999999999996
pcb85
numeric
37
77.549999999999997
29.23
403.10000000000002
736
192.15000000000001
220.59999999999999
8.6199999999999992
174.31
529.27999999999997
130.66999999999999
39.740000000000002
0
8.4299999999999997
0
120.04000000000001
0
11.93
0
0
30.140000000000001
0
0
0
531.66999999999996
9.3000000000000007
5.7400000000000002
46.469999999999999
176.90000000000001
13.69
4.8899999999999997
6.5999999999999996
6.7300000000000004
4.2800000000000002
20.5
20.5
5.7999999999999998
5.0800000000000001
class
character
1
data.frame
row.names
character
37
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
ppp
structure
3
.Data
list
5
country
structure
3
.Data
integer
44
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
.Label
character
44
Australia
Austria
Belgium
Canada
Chile
Colombia
Costa Rica
Cyprus
Czechoslovakia
Denmark
Ecuador
Egypt
Finland
France
Germany
Ghana
Greece
Hungary
India
Indonesia
Iran
Ireland
Israel
Italy
Japan
Korea
Mexico
Morocco
Netherlands
New Zealand
Norway
Panama
Philippines
Singapore
South Africa
Spain
Sri Lanka
Sweden
Switzerland
Thailand
Turkey
United Kingdom
Uruguay
Venezuela
class
character
1
factor
chngex75
numeric
44
3.4469699999999999
-2.8431199999999999
-0.63888
0.91474
27.528269999999999
18.582609999999999
15.792920000000001
1.44333
-1.02077
0.49458000000000002
22.830590000000001
12.894550000000001
0.25738
1.59568
-2.8034300000000001
37.654310000000002
10.65676
2.41913
4.9136199999999999
9.9384599999999992
0.044920000000000002
1.9385300000000001
54.131970000000003
4.0476299999999998
-4.7849399999999997
2.5334699999999999
36.107570000000003
4.7329699999999999
-2.1899500000000001
4.6672000000000002
1.2020900000000001
0
8.0679800000000004
-1.7914300000000001
8.3492700000000006
3.8277299999999999
11.623419999999999
2.3633000000000002
-4.1304299999999996
1.5166900000000001
34.643880000000003
1.4654700000000001
41.698169999999998
15.952719999999999
chngex85
numeric
44
-2.2261500000000001
-11.9725
-11.496600000000001
-3.1451099999999999
12.77215
25.22128
11.92314
-5.8117999999999999
0.92349999999999999
-10.7561
48.025489999999998
27.0518
-9.6608900000000002
-10.016500000000001
-12
35.843769999999999
2.7545500000000001
4.6399800000000004
6.9446300000000001
10.12818
-5.8101900000000004
-8.9455899999999993
10.734349999999999
-9.3214600000000001
-9.9850499999999993
-4.1282199999999998
47.86589
-3.99072
-12.021100000000001
-3.7646999999999999
-6.3460900000000002
0
5.3470899999999997
-3.8760400000000002
2.9843500000000001
-10.2346
7.7721900000000002
-7.4816399999999996
-11.405099999999999
-1.1935899999999999
32.179099999999998
-6.4946599999999997
48.925739999999998
36.662509999999997
chngin75
numeric
44
3.6283599999999998
-2.1445500000000002
-2.1776399999999998
0.95945000000000003
27.02101
17.09647
14.484529999999999
0.086849999999999997
-2.4071500000000001
1.2320599999999999
18.14339
9.0153300000000005
1.34951
1.5515600000000001
-1.89497
37.652419999999999
11.08797
1.8215600000000001
2.4453900000000002
8.20899
11.1806
2.8799800000000002
54.21602
5.4119900000000003
-3.4375200000000001
2.9603999999999999
35.519269999999999
3.3918699999999999
-1.4449000000000001
6.6849600000000002
1.78928
-1.2653000000000001
9.0766799999999996
-2.5946899999999999
8.3579100000000004
5.0951000000000004
7.6770899999999997
3.01878
-3.1996500000000001
0.58023000000000002
32.249870000000001
3.4174000000000002
41.482010000000002
13.52651
chngin85
numeric
44
3.9924300000000001
-3.0003700000000002
-4.4539999999999997
-0.37619000000000002
12.646570000000001
20.696059999999999
10.13828
-1.3963399999999999
-1.64527
-1.8000100000000001
38.087510000000002
15.950620000000001
-0.85196000000000005
-1.0754300000000001
-2.19218
31.211220000000001
9.9017099999999996
6.4640300000000002
4.7762900000000004
6.0880099999999997
18.136810000000001
-1.3773200000000001
17.694849999999999
1.3583099999999999
-4.3654999999999999
-0.95035000000000003
49.225270000000002
1.78159
-2.19218
3.5515599999999998
2.0716899999999998
-4.6993999999999998
5.5036399999999999
-3.73536
11.4217
-0.19617000000000001
8.5365300000000008
1.08788
-2.0147499999999998
1.84642
37.065420000000003
2.2310500000000002
52.361510000000003
30.209309999999999
class
character
1
data.frame
row.names
character
44
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
prdq
structure
3
.Data
list
7
quality
numeric
27
29
38
39
38
42
48
50
55
56
57
56
61
68
67
69
69
70
68
69
79
89
84
87
98
100
140
170
productiv
numeric
27
31
26
27
23
15
20
17
12
16
18
25
20
21
26
30
32
31
37
54
18
17
28
44
23
25
21
28
japan
numeric
27
0
0
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
qualnonj
numeric
27
29
38
68
67
69
69
70
68
69
79
84
87
98
100
140
170
N
N
N
N
N
N
N
N
N
N
N
qualjapn
numeric
27
39
38
42
48
50
55
56
57
56
61
89
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
prodnonj
numeric
27
31
26
21
26
30
32
31
37
54
18
28
44
23
25
21
28
N
N
N
N
N
N
N
N
N
N
N
prodjapn
numeric
27
27
23
15
20
17
12
16
18
25
20
17
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
class
character
1
data.frame
row.names
character
27
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
rock
structure
3
.Data
list
9
title
structure
3
.Data
integer
44
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
.Label
character
44
100% Pure Love
Action
All I Wanna Do
Always
Always In My Heart
Another Night
Any Time; Any Place
Anytime You Need A Friend
At Your Best (You Are Love)
Back & Forth
Body & Soul
Bop Gun (One Nation)
Can You Feel The Love Tonight
Circle of Life
Closer
Crazy
Do You Wanna Get Funky
Don't Turn Around
Fantastic Voyage
Far Behind
Flava In Ya Ear
Funkdafied
I Miss You
I Swear
I'd Give Anything
I'll Make Love To You
If You Go
Letitgo
Love Is All Around
Lucky One
Nappy Heads
Never Lie
Nuttin' But Love
Romatic Call
Shine
Stay (I Missed You)
Stroke You Up
Summer Bunnies
The Way She Loves Me
This D.J.
When Can I See You
Wild Night
You Mean The World To Me
Your Body's Callin'
class
character
1
factor
sales
numeric
44
26
43
40
65
32
69
33
61
13
29
27
16
14
34
35
45
23
25
4
53
12
6
18
8
19
1
51
52
58
60
37
10
28
36
21
3
2
41
38
5
11
7
63
47
saleslst
numeric
44
31
42
61
57
29
76
28
52
76
22
44
21
12
48
41
37
30
20
2
50
16
5
13
6
18
1
49
53
67
66
39
11
32
43
17
3
4
47
36
7
10
8
54
33
saleswk
numeric
44
16
4
2
19
10
1
15
14
1
20
2
7
15
2
14
15
6
17
15
2
5
15
18
18
4
4
17
3
3
3
9
6
9
4
16
15
7
3
6
7
11
12
23
16
play
numeric
44
18
43
7
33
42
35
21
15
38
17
65
41
4
49
58
29
52
5
13
34
61
26
25
12
63
1
8
40
46
22
74
54
45
66
9
2
16
68
24
20
6
3
14
44
playlst
numeric
44
17
45
15
31
34
42
13
12
37
18
68
49
3
76
71
22
52
5
11
35
76
21
27
9
53
2
6
43
46
30
74
60
47
73
8
1
23
62
20
25
7
4
10
40
playwk
numeric
44
14
8
5
20
14
3
17
17
5
19
2
5
17
1
2
14
7
21
13
9
1
14
15
21
6
5
19
4
8
5
5
3
6
2
18
20
7
3
10
11
13
16
23
27
xplay
numeric
44
-1
2
8
-2
-8
7
-8
-3
-1
1
3
8
-1
27
13
-7
0
0
-2
1
15
-5
2
-3
-10
1
-2
3
0
8
0
6
2
7
-1
-1
7
-6
-4
5
1
1
-4
-4
xsales
numeric
44
5
-1
21
-8
-3
7
-5
-9
63
-7
17
5
-2
14
6
-8
7
-5
-2
-3
4
-1
-5
-2
-1
0
-2
1
9
6
2
1
4
7
-4
0
2
6
-2
2
-1
1
-9
-14
class
character
1
data.frame
row.names
character
44
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
rtn
structure
3
.Data
list
3
year
numeric
18
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
sandp
numeric
18
10000
9281.2618000000002
9885.7196999999996
11710.427
15509.066999999999
14752.549999999999
17924.064999999999
21949.377
23315.074000000001
30692.293000000001
36407.252999999997
38292.406000000003
44609.936000000002
58702.303999999996
56870.985999999997
74159.426000000007
79803.551000000007
87831.506999999998
vanguard
numeric
18
10000
9215.6489999999994
9756.9081999999999
11517.424999999999
15193.239
14402.241
17422.847000000002
21132.846000000001
22446.111000000001
29454.942999999999
34774.474999999999
36410.597000000002
42316.968999999997
55589.213000000003
53741.334999999999
69982.907999999996
75178.046000000002
82613.236999999994
class
character
1
data.frame
row.names
character
18
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
sex
structure
3
.Data
list
2
male
numeric
1850
1
3
6
6
47
1
175
0
10
2
50
2
1
1
1
1
5
1
5
4
1
2
3
3
20
1
10
10
10
4
1
0
10
2
3
6
0
2
12
4
12
10
0
20
3
0
10
10
2
1
4
40
2
12
5
3
5
15
2
30
13
18
30
5
2
4
5
1
2
20
4
5
10
150
10
0
101
8
7
4
100
6
6
3
6
1
1
10
1
15
1
1
1
10
1
30
1
4
4
3
1
7
4
4
1
2
5
1
5
6
0
3
2
2
1
2
2
1
30
6
5
15
28
3
1
4
10
5
20
8
5
0
1
2
10
3
8
6
12
30
0
4
5
15
1
0
10
3
4
100
1
1
30
15
0
0
4
5
50
1
20
2
50
0
20
1
3
0
6
0
50
0
2
1
20
20
4
3
0
0
2
40
1
10
2
4
1
1
4
45
40
2
50
15
25
0
4
0
6
0
20
9
2
200
12
20
1
1
40
6
2
40
1
125
0
6
0
2
8
4
7
1
3
4
0
5
6
2
1
0
3
2
12
8
3
2
2
5
1
0
10
5
1
4
20
2
1
0
3
0
2
20
30
4
4
2
150
0
40
1
101
1
0
0
6
6
10
2
0
0
6
4
3
1
4
0
1
10
30
2
10
6
4
0
1
50
1
9
4
50
0
8
2
5
2
15
4
50
5
1
2
2
3
2
4
15
10
30
10
1
15
1
2
3
1
3
1
5
2
6
50
3
2
3
2
6
5
4
7
0
3
0
2
20
1
9
10
1
1
3
1
1
2
1
0
20
75
5
10
1
2
2
1
2
4
1
90
4
5
12
12
6
30
20
5
15
10
2
5
5
5
1
12
24
1
50
8
30
15
20
15
4
0
4
1
6
1
2
4
30
50
1
200
10
1
0
5
6
2
1
4
2
6
3
5
1
20
0
6
4
8
4
10
1
1
0
3
20
4
0
0
3
20
11
1
0
20
1
1
1
20
4
3
100
20
2
0
0
1
6
0
1
1
2
15
25
3
4
2
0
1
3
2
1
1
7
1
15
0
6
1
1
4
1
200
12
1
30
12
2
20
3
1
2
3
0
20
1
8
20
24
0
18
18
4
253
7
5
2
5
27
20
20
10
1
35
11
20
0
10
5
5
0
8
20
0
10
40
1
20
40
20
1
2
1
1
3
2
2
35
100
22
40
6
1
2
20
30
4
1
25
10
3
30
3
3
6
4
20
0
0
1
5
20
1
1
2
1
1
1
2
3
1
10
1
0
1
3
8
6
10
8
1
1
20
2
0
1
100
6
1
20
2
1
0
1
1
3
0
3
8
0
1
0
1
23
1
9
5
5
0
3
7
1
1
7
1
0
22
125
20
3
0
1
0
10
20
10
1
0
0
30
1
7
2
3
20
100
50
0
0
20
7
2
4
4
5
5
3
1
1
20
5
1
0
1
2
1
7
40
0
2
10
10
3
1
2
0
20
0
3
2
25
10
20
50
3
20
15
100
0
20
10
1
4
10
6
100
0
6
3
20
4
4
30
2
2
0
10
27
10
30
1
50
4
10
10
15
0
1
6
50
12
2
2
12
50
0
6
50
20
30
2
2
5
25
3
1
4
25
0
1
10
0
6
30
25
1
100
4
0
5
0
4
3
30
20
40
5
6
1
1
15
2
50
15
20
4
0
20
12
1
4
10
5
0
20
1
35
4
4
5
1
7
12
10
5
125
2
2
1
2
4
10
20
0
20
1
3
3
5
5
0
2
1
12
0
13
1
3
10
5
4
2
4
3
1
20
0
1
1
25
3
0
7
19
2
1
10
12
20
3
1
5
4
0
0
4
10
20
2
0
30
4
10
2
4
25
1
15
100
20
1
1
2
6
1
6
10
15
1
2
24
0
25
25
50
0
12
33
10
4
18
4
40
1
8
20
1
130
0
1
4
1
7
4
1
15
14
1
1
0
40
1
5
10
20
0
1
2
22
0
2
3
24
2
0
40
3
2
3
6
6
0
3
5
2
8
1
4
8
0
1
3
100
4
4
3
10
10
12
2
2
4
20
0
3
1
35
5
1
0
1
8
4
1
100
40
1
4
75
6
100
4
1
25
100
20
8
5
9
5
20
10
4
175
1
1
10
6
4
5
4
12
4
1
5
12
1
5
8
130
1
5
3
1
10
1
6
1
3
50
1
5
6
3
5
3
15
7
0
15
1
4
20
2
10
7
20
40
10
4
6
40
3
20
10
0
1
5
10
0
12
0
1
8
5
8
0
0
5
3
4
0
2
20
1
1
12
1
5
7
5
10
15
3
20
1
4
0
1
2
3
1
100
1
20
50
1
6
2
0
2
2
14
0
30
0
20
1
10
2
3
35
2
1
10
3
10
1
5
1
10
0
2
1
40
0
5
4
0
4
7
50
10
3
6
3
1
6
5
1
100
3
40
15
1
2
5
10
50
3
1
1
1
2
5
1
3
1
5
20
1
200
4
0
5
3
1
5
10
3
0
10
5
1
1
2
1
6
45
6
15
6
1
0
2
14
8
1
20
7
1
1
4
1
9
10
100
1
145
4
11
16
1
10
5
10
2
1
30
2
4
10
50
5
3
1
0
1
25
0
1
6
13
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1
0
20
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15
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3
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30
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50
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5
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2
1
20
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1
1
8
12
30
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1
10
50
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1
0
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50
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6
5
5
3
1
17
20
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12
3
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0
30
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2
0
30
12
5
10
3
2
6
5
1
20
15
100
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50
0
5
5
1
1
3
25
8
1
5
3
20
4
3
0
6
6
4
3
3
1
10
5
1
1
8
253
12
0
3
40
5
1
0
5
56
1
20
7
2
6
12
11
1
1
12
1
1
1
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3
3
3
5
4
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1
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14
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15
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20
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50
8
3
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20
1
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50
25
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2
50
3
10
5
15
1
1
1
1
4
1
15
15
1
25
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6
1
4
12
0
1
4
6
3
0
4
4
2
0
4
6
1
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5
4
10
20
10
2
6
4
4
3
2
3
5
20
1
75
5
4
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1
5
5
3
8
20
1
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2
1
3
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0
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1
4
7
4
10
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20
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125
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20
1
20
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12
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10
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4
3
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2
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14
50
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0
6
20
20
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1
2
1
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6
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3
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4
68
4
3
1
3
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2
1
10
6
1
20
20
5
2
11
8
6
4
12
3
1
10
2
1
2
40
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2
2
4
2
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3
4
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1
10
1
0
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1
5
8
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2
6
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25
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25
30
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8
3
3
12
18
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3
6
0
20
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1
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20
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1
3
2
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30
50
8
1
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20
10
3
1
15
2
6
3
50
50
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2
1
2
7
6
6
6
3
6
6
5
3
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1
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4
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20
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20
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30
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0
4
3
2
25
5
5
2
4
1
1
45
100
9
1
2
7
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
female
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class
character
1
data.frame
row.names
character
1850
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2
3
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5
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11
12
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15
16
17
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19
20
21
22
23
24
25
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27
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36
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38
39
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41
42
43
44
45
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48
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50
51
52
53
54
55
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60
61
62
63
64
65
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67
68
69
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72
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81
82
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89
90
91
92
93
94
95
96
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100
101
102
103
104
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108
109
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118
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120
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130
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148
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156
157
158
159
160
161
162
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166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
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211
212
213
214
215
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219
220
221
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223
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225
226
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231
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233
234
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238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
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255
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257
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259
260
261
262
263
264
265
266
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270
271
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278
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284
285
286
287
288
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291
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293
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297
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301
302
303
304
305
306
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308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
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326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
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353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
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700
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702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
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1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
subway
structure
3
.Data
list
19
usage
numeric
62
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
1
1
1
0
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
0
1
1
1
1
1
0
1
1
1
0
1
0
0
0
0
1
1
1
1
0
1
1
1
1
1
0
1
clnstat
numeric
62
1
2
2
2
1
1
2
1
2
1
4
2
1
2
2
1
1
1
1
3
2
1
4
2
4
1
1
2
4
2
2
2
1
2
4
1
2
3
5
N
2
2
3
2
1
1
2
1
1
2
2
1
2
4
1
1
2
2
4
1
2
2
clntrain
numeric
62
3
2
5
4
1
1
3
4
3
1
4
3
1
3
2
1
2
1
1
3
3
2
4
3
4
2
2
2
3
4
2
4
1
2
4
1
2
3
5
5
3
4
3
2
2
2
2
1
1
2
3
1
1
4
1
1
2
2
4
1
2
3
safstat
numeric
62
3
3
4
5
1
1
2
2
3
1
3
3
2
2
3
1
2
1
3
3
5
1
4
1
4
2
2
2
4
4
2
2
2
3
4
1
1
4
3
4
4
3
3
3
1
1
3
1
1
4
3
N
1
2
1
1
2
2
3
1
2
3
saftrain
numeric
62
3
3
2
5
1
1
3
1
3
1
2
5
1
2
3
1
3
1
3
3
5
1
3
1
3
2
2
2
4
3
3
3
2
3
4
1
1
4
3
4
4
3
3
3
1
1
2
1
1
3
3
N
1
2
1
1
2
2
3
1
2
3
crwdstat
numeric
62
1
3
2
4
1
2
2
2
3
4
3
4
3
4
2
1
2
1
1
1
3
3
3
3
3
2
1
3
3
3
2
4
1
4
3
3
2
2
5
N
3
4
2
3
1
3
3
1
N
3
3
2
2
4
1
4
2
2
3
2
2
3
crwdtran
numeric
62
1
2
1
3
1
1
1
4
2
4
3
2
1
3
1
1
2
1
1
1
5
3
3
3
1
1
1
2
1
1
2
1
1
4
3
3
2
1
5
N
4
2
2
3
2
2
3
1
N
3
3
N
1
3
1
4
2
1
4
1
2
2
infostat
numeric
62
2
1
5
2
3
2
2
2
2
3
3
2
2
1
2
4
1
3
1
2
5
3
4
1
1
2
1
3
1
3
3
5
3
2
4
2
2
3
4
2
4
2
5
4
1
2
1
2
1
2
4
N
1
4
1
5
1
3
2
1
3
4
infotran
numeric
62
2
1
3
2
3
5
2
2
2
1
3
2
3
1
3
2
1
1
1
1
1
3
4
1
4
2
3
4
3
3
3
5
2
N
2
2
2
2
3
1
4
3
2
4
3
2
1
1
1
1
4
N
1
3
1
2
1
2
2
1
2
1
convstop
numeric
62
3
4
5
5
2
5
3
5
3
1
3
4
3
5
4
2
5
4
5
4
5
5
5
2
5
3
5
4
5
3
3
5
4
4
4
4
4
3
4
5
5
5
4
5
1
3
3
4
5
3
4
N
5
4
3
3
3
4
3
3
3
3
convsced
numeric
62
3
3
3
4
2
5
3
3
3
4
4
3
2
5
3
1
4
2
5
4
5
2
5
3
4
3
5
3
4
2
3
5
3
3
4
4
3
3
4
4
5
5
4
5
1
3
3
2
3
4
3
N
5
4
4
2
4
4
3
3
2
3
speed
numeric
62
3
5
4
5
2
5
3
5
4
4
4
2
4
5
2
3
5
4
5
4
4
5
5
5
5
4
5
3
2
4
5
5
2
4
4
5
5
4
5
4
5
5
4
5
5
3
4
5
3
4
4
N
5
3
5
5
4
3
4
3
2
3
frequenc
numeric
62
2
4
4
5
2
4
3
3
3
4
4
4
1
5
3
1
4
2
5
3
3
2
5
5
5
4
5
3
2
2
3
5
2
3
3
3
3
3
5
3
5
3
4
5
1
3
3
N
3
4
3
N
4
3
4
3
3
3
4
3
2
3
tokenpur
numeric
62
3
2
1
5
5
5
3
2
5
4
4
5
4
5
3
2
4
5
1
4
5
5
5
2
4
3
5
3
4
3
4
3
2
2
3
5
3
4
5
2
4
4
3
4
1
4
3
5
1
5
4
N
3
4
3
3
3
3
2
3
2
2
tokencol
numeric
62
4
3
3
4
5
5
3
2
5
4
3
4
4
5
3
2
4
5
3
4
5
4
5
5
5
3
5
3
5
4
4
5
2
2
3
5
3
2
N
5
5
5
3
4
5
4
3
5
N
5
4
N
3
4
4
3
3
3
4
3
2
4
polstat
numeric
62
4
2
3
5
2
1
2
2
4
3
3
4
3
3
2
1
2
1
4
2
4
2
4
2
2
3
2
3
5
3
3
2
3
3
2
3
1
3
4
3
4
3
2
3
1
3
3
1
3
4
4
N
1
2
2
1
2
3
2
1
3
3
poltrain
numeric
62
4
3
3
4
2
1
2
2
3
2
2
2
2
2
2
1
2
1
4
2
1
1
3
2
2
3
2
3
5
2
2
1
1
4
1
3
1
3
4
1
3
1
2
3
1
2
4
1
2
4
3
N
1
2
1
1
1
1
2
1
3
2
maps
numeric
62
5
2
4
5
5
5
3
5
5
2
5
3
4
3
3
4
2
5
5
4
4
5
5
1
4
3
5
4
5
3
3
3
4
5
3
5
3
3
4
N
2
2
4
4
1
4
3
5
4
4
4
N
3
3
1
5
3
5
N
2
3
3
numbuse
numeric
62
20
3
10
8
10
10
5
7
8
10
0
10
2
10
14
13
8
12
0
3
10
0
3
2
12
10
0
4
14
10
0
5
12
10
0
2
10
9
2
5
0
12
4
8
0
2
0
0
0
0
12
8
12
2
0
2
10
12
4
10
0
7
class
character
1
data.frame
row.names
character
62
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
vine1
structure
3
.Data
list
10
row
numeric
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
lug1983
numeric
52
5
10
11
11.25
11
11
9
9
9
9
6
7
5
7
10
13
5.5
10.5
9
6
8
15
13
14
15
14.5
14
14
15
16
13
12
9
11.5
9.5
12
13
13.5
15
15.5
14
14
10
13
11
8.5
7.5
6
5
4
3
2
lug1984
numeric
52
5
5
11
10
7
13
10.5
10
13
12
10
9
11
7
8
10.5
10
11.5
9
11
13
15
14
17
16
14
11
16
12
11.5
11
13
12
12
13
9
15
12
7
7
10
5
3.5
5
14
13
19
11.5
10
6
6.5
5
lug1985
numeric
52
2
5
4
5
4
3
2.5
2
2
2
3
2.5
2
3
3
3
4
5
6
8
7
11
9
10
10
11
14
15
12
10
12
13
9.5
8
8
9
11
13
16
18
12
15
14
20
14
7
7.5
4
5
3
1.5
0.5
lug1986
numeric
52
4.5
9
9
9.5
10
7
7.5
7
8
7
7
5
5
4
3
4
4
4
4.5
3.5
6
5
6
6
5
7
6
5
3
5
4
4.5
4
4
4
4
6
6
4
3
3.5
8
6
4.5
6
4.5
4
3
3
2
1
0.5
lug1987
numeric
52
1.5
4
6
7
7
10
7
7
10
7
6
7
9
9
8
12
13
15
17
20
16
17
15
12
13
13
18
20
16
16
16
16
15
11
11
11
8.5
10
6
10
8
8
6
8
6
6
7
3
3
2
2
2
lug1988
numeric
52
1.5
4
6
5
6
5
5
6
8
5
8
7
10
9
9
9
7
7
7
7
8
9
7
8
8
8
8
8
7
7
10
8
7
7
11
11
12
10
11
11
11
8.5
10
9
11
7
5
3
3
1.5
1
0
lug1989
numeric
52
1
3
3
3
5
3.5
3
4.5
5
5
6
5
4
6
5
6.5
4
6
3
6
5
8
4.5
4
4
6.5
4
5
3
5.5
3
2
2
2
2
3
2
2
2
2
2
1.5
1.5
1.5
1
1
1
1
0.5
0.5
0
0
lug1990
numeric
52
5
8
11
9
9.5
10
12
10
11.5
10
11
10
10.5
10
11
11
11.5
12
12.5
13
11
11
11
13
11
13
12
14
10
13
8
7.5
8
8
7
10
7
10
8
10
9
10
8
11
10
7
5
7
8
6
7.5
2.5
lug1991
numeric
52
9.5
17.5
18
20
20.5
20
19
21
19
26
20
23
22
20
20
24
23
23
20
21
23
23
22
22
21
20
18
21
16
16
15
16
15
15
17
17
21
17
20
16
20
15
17
17
20
15
14
12
11
11
8.5
2.5
class
character
1
data.frame
row.names
character
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
vine2
structure
3
.Data
list
3
year
numeric
468
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1990
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
1991
row
numeric
468
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
yield
numeric
468
158.672
317.34500000000003
349.07900000000001
357.01299999999998
349.07900000000001
349.07900000000001
285.61000000000001
285.61000000000001
285.61000000000001
285.61000000000001
190.40700000000001
222.14099999999999
158.672
222.14099999999999
317.34500000000003
412.548
174.53899999999999
333.21199999999999
285.61000000000001
190.40700000000001
253.876
476.017
412.548
444.28199999999998
476.017
460.14999999999998
444.28199999999998
444.28199999999998
476.017
507.75099999999998
412.548
380.81299999999999
285.61000000000001
364.94600000000003
301.47699999999998
380.81299999999999
412.548
428.41500000000002
476.017
491.88400000000001
444.28199999999998
444.28199999999998
317.34500000000003
412.548
349.07900000000001
269.74299999999999
238.00800000000001
190.40700000000001
158.672
126.938
95.203000000000003
63.469000000000001
154.59700000000001
154.59700000000001
340.11399999999998
309.19499999999999
216.43600000000001
401.95299999999997
324.654
309.19499999999999
401.95299999999997
371.03300000000002
309.19499999999999
278.27499999999998
340.11399999999998
216.43600000000001
247.35599999999999
324.654
309.19499999999999
355.57400000000001
278.27499999999998
340.11399999999998
401.95299999999997
463.79199999999997
432.87200000000001
525.63099999999997
494.71100000000001
432.87200000000001
340.11399999999998
494.71100000000001
371.03300000000002
355.57400000000001
340.11399999999998
401.95299999999997
371.03300000000002
371.03300000000002
401.95299999999997
278.27499999999998
463.79199999999997
371.03300000000002
216.43600000000001
216.43600000000001
309.19499999999999
154.59700000000001
108.218
154.59700000000001
432.87200000000001
401.95299999999997
587.47000000000003
355.57400000000001
309.19499999999999
185.517
200.976
154.59700000000001
60.186999999999998
150.46799999999999
120.374
150.46799999999999
120.374
90.281000000000006
75.233999999999995
60.186999999999998
60.186999999999998
60.186999999999998
90.281000000000006
75.233999999999995
60.186999999999998
90.281000000000006
90.281000000000006
90.281000000000006
120.374
150.46799999999999
180.56100000000001
240.74799999999999
210.655
331.029
270.84199999999998
300.935
300.935
331.029
421.30900000000003
451.40300000000002
361.12200000000001
300.935
361.12200000000001
391.21600000000001
285.88799999999998
240.74799999999999
240.74799999999999
270.84199999999998
331.029
391.21600000000001
481.49599999999998
541.68299999999999
361.12200000000001
451.40300000000002
421.30900000000003
601.87
421.30900000000003
210.655
225.70099999999999
120.374
150.46799999999999
90.281000000000006
45.140000000000001
15.047000000000001
144.11799999999999
288.23700000000002
288.23700000000002
304.25
320.26299999999998
224.184
240.197
224.184
256.20999999999998
224.184
224.184
160.13200000000001
160.13200000000001
128.10499999999999
96.078999999999994
128.10499999999999
128.10499999999999
128.10499999999999
144.11799999999999
112.092
192.15799999999999
160.13200000000001
192.15799999999999
192.15799999999999
160.13200000000001
224.184
192.15799999999999
160.13200000000001
96.078999999999994
160.13200000000001
128.10499999999999
144.11799999999999
128.10499999999999
128.10499999999999
128.10499999999999
128.10499999999999
192.15799999999999
192.15799999999999
128.10499999999999
96.078999999999994
112.092
256.20999999999998
192.15799999999999
144.11799999999999
192.15799999999999
144.11799999999999
128.10499999999999
96.078999999999994
96.078999999999994
64.052999999999997
32.026000000000003
16.013000000000002
46.436
123.82899999999999
185.74299999999999
216.69999999999999
216.69999999999999
309.572
216.69999999999999
216.69999999999999
309.572
216.69999999999999
185.74299999999999
216.69999999999999
278.61500000000001
278.61500000000001
247.65799999999999
371.48599999999999
402.44400000000002
464.358
526.27200000000005
619.14400000000001
495.315
526.27200000000005
464.358
371.48599999999999
402.44400000000002
402.44400000000002
557.23000000000002
619.14400000000001
495.315
495.315
495.315
495.315
464.358
340.529
340.529
340.529
263.13600000000002
309.572
185.74299999999999
309.572
247.65799999999999
247.65799999999999
185.74299999999999
247.65799999999999
185.74299999999999
185.74299999999999
216.69999999999999
92.872
92.872
61.914000000000001
61.914000000000001
61.914000000000001
41.75
111.33199999999999
166.999
139.166
166.999
139.166
139.166
166.999
222.66499999999999
139.166
222.66499999999999
194.83199999999999
278.33100000000002
250.49799999999999
250.49799999999999
250.49799999999999
194.83199999999999
194.83199999999999
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194.83199999999999
222.66499999999999
222.66499999999999
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222.66499999999999
194.83199999999999
194.83199999999999
278.33100000000002
222.66499999999999
194.83199999999999
194.83199999999999
306.16399999999999
306.16399999999999
333.99700000000001
278.33100000000002
306.16399999999999
306.16399999999999
306.16399999999999
236.58199999999999
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250.49799999999999
306.16399999999999
194.83199999999999
139.166
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83.498999999999995
41.75
27.832999999999998
0
27.085000000000001
81.254999999999995
81.254999999999995
81.254999999999995
135.42500000000001
94.798000000000002
81.254999999999995
121.883
135.42500000000001
135.42500000000001
162.50999999999999
135.42500000000001
108.34
162.50999999999999
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176.053
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162.50999999999999
135.42500000000001
216.68000000000001
121.883
108.34
108.34
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108.34
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54.170000000000002
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81.254999999999995
54.170000000000002
54.170000000000002
54.170000000000002
54.170000000000002
54.170000000000002
40.628
40.628
40.628
27.085000000000001
27.085000000000001
27.085000000000001
27.085000000000001
13.542999999999999
13.542999999999999
0
0
149.15299999999999
238.64500000000001
328.137
268.476
283.39100000000002
298.30700000000002
357.96800000000002
298.30700000000002
343.053
298.30700000000002
328.137
298.30700000000002
313.22199999999998
298.30700000000002
328.137
328.137
343.053
357.96800000000002
372.88299999999998
387.79899999999998
328.137
328.137
328.137
387.79899999999998
328.137
387.79899999999998
357.96800000000002
417.63
298.30700000000002
387.79899999999998
238.64500000000001
223.72999999999999
238.64500000000001
238.64500000000001
208.815
298.30700000000002
208.815
298.30700000000002
238.64500000000001
298.30700000000002
268.476
298.30700000000002
238.64500000000001
328.137
298.30700000000002
208.815
149.15299999999999
208.815
238.64500000000001
178.98400000000001
223.72999999999999
74.576999999999998
308.29300000000001
567.90800000000002
584.13400000000001
649.03800000000001
665.26400000000001
649.03800000000001
616.58600000000001
681.49000000000001
616.58600000000001
843.74900000000002
649.03800000000001
746.39300000000003
713.94100000000003
649.03800000000001
649.03800000000001
778.84500000000003
746.39300000000003
746.39300000000003
649.03800000000001
681.49000000000001
746.39300000000003
746.39300000000003
713.94100000000003
713.94100000000003
681.49000000000001
649.03800000000001
584.13400000000001
681.49000000000001
519.23000000000002
519.23000000000002
486.77800000000002
519.23000000000002
486.77800000000002
486.77800000000002
551.68200000000002
551.68200000000002
681.49000000000001
551.68200000000002
649.03800000000001
519.23000000000002
649.03800000000001
486.77800000000002
551.68200000000002
551.68200000000002
649.03800000000001
486.77800000000002
454.32600000000002
389.423
356.971
356.971
275.84100000000001
81.129999999999995
class
character
1
data.frame
row.names
character
468
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
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31
32
33
34
35
36
37
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40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
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59
60
61
62
63
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68
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71
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73
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81
82
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86
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88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
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197
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199
200
201
202
203
204
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208
209
210
211
212
213
214
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228
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241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
vine3
structure
3
.Data
list
4
year
numeric
16
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
lugs
numeric
16
11
476
60
102
71
203
127
534.75
552.5
401
266
514
377.5
170.5
502
940.5
yield
numeric
16
313
13299
1848
2894
1792
5483
3490
16970
17083
12067.5
8519
15912
10507
4618
14975
30521
initial
numeric
16
N
N
N
N
N
N
N
44.25
41
16
35.5
30
22
14.5
39.5
78.5
class
character
1
data.frame
row.names
character
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
vote
structure
3
.Data
list
6
year
numeric
22
1982
1982
1982
1984
1984
1984
1984
1986
1986
1986
1988
1988
1988
1988
1990
1990
1990
1992
1992
1992
1992
1993
district
numeric
22
2
4
8
1
3
5
7
2
4
8
1
3
5
7
2
4
8
1
3
5
7
2
absdem
numeric
22
551
594
338
1357
716
1207
929
609
666
477
1101
448
781
644
660
482
308
1923
695
841
814
1396
absrep
numeric
22
205
312
115
764
144
1436
258
316
306
171
700
70
1610
250
509
831
148
594
327
1275
423
371
machdem
numeric
22
47767
44437
55662
58327
78270
54812
77136
39034
52817
48315
56362
69801
43527
68702
27543
39193
34598
65943
58480
41267
65516
19127
machrep
numeric
22
21340
28533
13214
38883
6473
55829
13730
23363
16541
11605
34514
3939
56721
12602
26843
27664
8551
21518
12968
46967
14310
19691
class
character
1
data.frame
row.names
character
22
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
whale
structure
3
.Data
list
10
period1
numeric
228
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
bouts1
numeric
228
0
0
0
0
0
4
10
9
13
9
11
10
8
9
9
7
7
8
6
4
10
7
5
7
7
8
12
8
12
10
13
6
11
11
17
11
16
10
15
8
14
6
13
16
13
13
13
11
11
8
7
6
8
9
6
5
6
11
8
8
12
5
8
5
6
11
11
8
4
9
6
6
12
8
14
9
13
10
12
7
12
7
6
12
8
17
10
14
12
10
8
10
7
10
6
8
10
9
10
9
11
8
12
7
11
6
10
7
7
8
11
8
10
7
9
9
9
15
6
11
8
7
10
5
10
9
10
8
6
6
12
5
4
3
6
5
4
6
2
1
3
4
4
7
7
3
8
6
2
9
4
10
7
13
10
6
7
7
6
10
8
12
10
8
6
5
14
4
13
3
12
9
18
10
15
10
12
10
10
12
10
6
11
6
11
7
6
6
6
3
2
12
6
13
10
12
9
6
4
12
6
10
7
9
12
9
10
13
11
16
12
10
12
5
12
10
15
15
17
6
7
11
8
11
11
11
15
10
nursing1
numeric
228
0
0
0
0
0
26
42
143
244
137
175
181
105
190
203
202
202
162
121
121
272
248
100
230
208
198
204
222
303
379
371
155
259
384
465
383
482
157
293
211
215
93
251
286
258
262
192
298
176
95
105
86
177
184
145
129
81
167
148
128
241
51
163
119
125
253
123
102
39
111
102
129
196
128
198
95
166
61
133
144
167
100
97
154
126
207
154
199
187
136
150
132
138
128
125
151
144
220
172
167
165
114
158
73
144
32
130
161
169
142
137
139
149
135
160
290
135
173
100
137
120
100
140
132
178
139
142
107
72
55
258
49
164
42
70
57
45
72
19
8
47
78
75
148
126
43
133
84
10
117
41
23
4
127
134
94
113
132
120
114
94
96
68
40
126
95
124
60
107
24
90
169
129
62
107
62
84
61
86
179
61
72
113
91
227
44
80
65
49
110
46
78
54
149
108
252
167
81
53
102
6
109
69
213
168
93
110
81
121
68
131
96
339
59
114
127
155
195
185
23
60
126
102
165
189
182
270
252
lockons1
numeric
228
0
0
0
0
0
5
11
17
33
25
37
27
21
34
32
21
17
21
12
11
33
25
11
28
16
17
25
22
28
30
32
14
25
30
42
40
49
21
33
22
23
11
25
30
28
33
27
20
17
11
10
11
12
17
9
9
7
14
9
9
17
5
11
7
9
21
14
11
4
11
7
9
15
11
22
11
17
10
12
15
17
10
10
17
12
23
15
21
16
14
10
12
9
11
8
12
16
14
14
11
14
8
14
7
12
5
11
16
11
15
17
12
17
10
15
17
11
17
8
15
11
11
12
10
16
15
14
10
5
7
23
5
15
4
5
7
4
10
2
1
2
10
2
17
11
2
17
10
2
17
8
5
1
22
14
14
12
11
5
14
9
16
11
8
11
11
28
9
22
5
17
22
33
20
22
19
11
17
17
22
16
16
25
14
36
11
15
14
11
16
7
11
17
23
22
44
28
11
7
17
5
22
8
23
36
17
17
21
22
22
28
15
47
8
14
22
20
37
25
5
11
20
14
16
23
20
21
28
daynight1
numeric
228
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
period2
numeric
228
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
N
N
N
N
N
bouts2
numeric
228
0
0
0
9
10
13
9
10
10
10
10
11
14
10
7
10
11
13
10
9
7
5
7
10
12
10
11
8
13
15
14
14
14
11
11
11
14
14
11
15
13
14
11
13
15
12
13
18
18
17
13
13
15
17
11
14
12
11
12
10
8
12
14
12
13
11
11
8
8
8
10
10
11
11
11
11
9
10
11
7
8
11
8
12
9
13
9
13
10
11
8
15
12
18
15
12
4
10
14
12
10
9
8
9
9
7
14
10
12
12
10
10
14
11
8
12
15
13
11
14
15
15
13
12
13
11
8
10
8
9
8
7
10
4
12
12
24
6
15
14
12
8
18
15
12
9
9
15
12
12
9
10
12
9
11
8
10
6
8
8
7
9
6
12
9
14
12
7
12
10
12
11
12
12
12
8
10
11
14
9
13
6
11
12
18
9
8
12
15
11
9
12
12
12
9
14
14
15
18
11
12
15
8
9
12
4
8
11
16
6
8
6
8
6
7
7
10
8
12
10
7
12
2
N
N
N
N
N
nursing2
numeric
228
0
0
0
59
228
260
255
538
228
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426
693
541
509
462
813
873
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720
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688
737
805
450
772
954
702
613
825
537
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491
888
605
497
419
494
524
430
444
659
442
411
590
515
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533
445
404
362
506
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492
344
477
411
351
409
463
377
443
344
423
200
299
204
326
292
277
380
228
226
332
228
172
284
228
180
225
216
176
252
126
528
714
435
193
565
386
694
579
464
166
308
445
432
345
253
229
196
285
225
340
349
339
473
338
433
323
156
80
441
462
453
200
449
600
750
320
429
513
191
257
275
244
359
231
232
230
104
228
299
504
174
438
372
223
267
648
444
146
360
253
446
274
169
229
239
244
104
191
98
132
92
72
98
132
198
68
167
127
135
186
218
189
205
192
199
171
192
150
175
156
137
157
93
197
48
236
160
196
69
222
308
244
98
153
456
291
126
84
172
170
218
255
144
247
271
118
275
286
104
168
275
354
96
176
74
187
51
197
85
243
119
288
495
151
870
14
N
N
N
N
N
lockons2
numeric
228
0
0
0
12
28
35
22
35
27
34
27
33
33
30
28
36
33
36
34
28
20
16
22
21
39
33
34
12
42
55
34
32
47
30
36
36
58
47
35
34
42
47
35
30
47
36
30
42
47
51
44
41
40
37
34
36
37
33
41
32
11
23
37
27
30
28
22
20
17
17
22
17
25
17
25
23
16
22
22
14
17
15
16
19
14
22
11
27
16
28
22
36
30
42
40
37
16
30
32
34
32
21
28
21
28
25
25
30
28
36
30
42
40
22
11
41
36
30
22
37
33
27
34
28
25
30
22
22
20
14
17
11
21
10
23
28
60
16
45
34
23
20
66
39
17
23
22
53
30
22
22
25
39
22
25
19
22
15
20
23
15
33
10
28
20
23
30
22
23
28
17
30
20
33
21
25
22
17
19
16
19
14
19
17
51
11
20
25
39
15
16
33
25
17
11
22
25
25
39
25
27
35
23
28
30
14
20
32
51
17
22
14
21
11
20
19
36
27
54
20
28
11
2
N
N
N
N
N
daynight2
numeric
228
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
N
N
N
N
N
class
character
1
data.frame
row.names
character
228
1
2
3
4
5
6
7
8
9
10
11
12
13
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15
16
17
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23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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41
42
43
44
45
46
47
48
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50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
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90
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96
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114
115
116
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177
178
179
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184
185
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209
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212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228