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
numeric
39
63
8
74
139
16
6
176
201
403
65
41
36
115
N
428
49
253
27
24
348
29
71
16
104
8
13
15
15
244
324
353
109
N
145
1787
35
90
7
23
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
11.652
23.015
5.604
6.71
7.293
8.918
14.176
11.363
12.72
19.226
20.977
12.581
8.868
17.867999999999998
10.153
23.221
3.723
8.368
24.403
6.85
14.613
13.773
11.567
16.888000000000002
25.792
45.174
21.786
17.729
17.352
7.764
5.329
11.369
14.558
11.334
11.185
29.292
14.548
41.572
11.747
15.671
19.242
16.411000000000002
22.885
12.67
29.135
17.744
10.835
12.426
8.0719999999999984
7.236
22.986
7.091
21.454
21.917
15.568
21.888
18.584
23.419
22.458
25.506
13.91
37.883
11.879
15.259
34.418
35.845
35.808999999999996
11.763
11.118
12.213
14.89
13.039
37.457
11.797
21.479
18.174
22.751
11.249
16.190999999999998
21.387
21.771
17.389
21.336
31.825
12.825
9.196
34.561
9.266
17.692
12.458
12.003
13.624
27.267
10.292
18.353
31.933
7.88
13.575
11.431
15.437
9.63
16.207
8.543
7.53
25.001
16.651
25.703
11.95
26.654
33.644
11.509
12.078
37.6
16.59
18.328
32.624000000000004
34.713
12.204
7.867
23.839
6.677
8.7
29.09
21.194
13.624
28.847
26.697
15.781
28.211
8.674
14.337
35.144
9.084
11.651
12.478
36.002000000000004
75.361
20.586
21.328
25.522
10.785
10.229
12.484
10.832
51.117
15.775
20.417
23.28
12.475
10.745
23.267
18.817
35.869
24.112
24.55
16.065999999999998
18.071
32.29
22.86
16.703
19.097
156.275
28.044
26.981
23.888
22.199
23.439
18.728
15.643
29.144
13.708
17.355
8.956
23.855
16.809999999999998
19.281
11.857
8.472
14.992
12.249
10.089
13.13
13.087
19.416
11.659
6.435
13.196
15.924
33.314999999999996
23.919
14.444
22.718
13.545
11.653
22.826
17.168
9.265
12.465
23.661
7.679
11.308
6.85
11.896
18.055
8.696
23.808
9.696
16.172
12.835
21.652
11.389
11.91
11.211
7.279
13.882
21.528
10.823
18.438
11.501
6.949
8.578
14.011
24.528
9.273
12.822
9.479
8.369
14.826
16.956
10.652
19.024
8.341
25.238
11.95
12.751
16.568000000000002
10.193
9.519
15.562
13.216
16.489999999999998
12.086
28.217
14.599
18.752
27.022
17.835999999999998
10.839
8.316
22.557
5.99
26.317
19.847
12.794
8.4920000000000016
14.073
9.1170000000000016
11.389
23.015
13.011
15.797
16.89
17.327000000000002
38.936
14.079
16.619
11.493
15.702
23.688
15.601
17.265999999999998
16.530999999999998
15.672
8.535
6.487
31.775
27.35
12.022
14.573
25.521
12.275
28.838
15.316
17.222999999999998
14.56
4.7539999999999992
13.554
15.054
9.129
28.187
25.961
8.33
10.841
33.68
21.738
4.9109999999999992
27.293
8.745
16.965
9.077
10.942
11.406
22.427
7.419
6.2460000000000008
10.845
32.975
7.138
20.548
21.728
13.422
16.343
8.346
14.424
23.796
13.255
8.966
8.071
28.226
10.035
13.355
40.958
19.404
17.561
26.888
8.026
13.378
11.276
17.424
32.089
19.265
12.923
9.276
11.586
5.617
6.824
8.373
13.657
11.179
8.877
15.85
16.989
11.398
14.976
20.835
18.909
14.323
21.663
14.141
7.672
10.195
10.895
8.195
11.605
11.933
12.189
11.104
14.771
11.331
14.608
9.558
22.256
14.916
11.565
22.274
13.277
19.507
25.836
12.389
22.288
25.713
8.354
12.101
12.497
27.457
11.317
16.158000000000002
10.609
12.021
9.041
20.993
6.595
36.903
11.253
15.717
10.681
7.284
7.659
16.561
11.333
22.057
12.085
12.038
26.495
8.212
11.068
28.229
1.175
7.979
6.761
22.927
11.235
28.068
13.601
10.939
15.156
23.979
18.434
18.371
12.327
5.817
10.924
34.133000000000004
12.258
4.524
11.133
9.273
7.563
12.236
29.093
8.794
11.393
7.592
21.352
17.75
16.934999999999998
7.596
16.099
9.933
7.93
15.727
16.744
18.149
15.451
5.9
45.955
21.054
4.471
10.643
15.998
22.211
8.643
15.048
18.413
13.882
11.94
16.507000000000002
28.833
18.174
26.27
11.684
15.483
15.405
14.189
12.449
24.178
24.473
16.968
15.889
14.044
27.342
13.571
26.376
18.406
12.061
14.536
12.588
9.598
25.557
21.373
13.173
33.287999999999996
6.092
14.944
13.143
15.363
6.163
24.125
21.615
32.381999999999996
13.411
13.041
14.723
15.748
6.193
22.903
12.992
11.369
14.431
31.498
18.363
7.164
9.229
6.585
27.905
11.551
20.445
21.295
27.953
22.16
24.756
25.523
15.075
17.658000000000002
25.319
13.068
12.391
12.168
12.064
12.808
17.526
9.767
17.882000000000002
11.833
21.894
14.098
19.361
8.95
19.172
35.827
6.423
15.513
18.607
26.793
15.912
24.637
19.907
26.096
22.539
21.274
20.215
18.087
21.067
31.434
32.473999999999996
9.288
33.924
20.401
32.692999999999996
4.14
24.363
34.936999999999996
10.406
29.171
1.639
10.757
21.802
6.716
10.141
23.499
31.625
7.284
1.719
14.583
35.713
34.816000000000004
47.455
34.289
22.469
38.833
16.378
41.481
27.364
14.316
19.929
36.582
26.464
31.389
64.148
30.921
15.259
17.642
14.484
28.165
27.773
12.908
21.228
22.099
20.341
32.217
31.424
21.385
22.308
33.985
14.472
40.541
14.799
17.945
20.951
4.315
16.665
21.785
17.215
22.48
9.4280000000000016
7.644
17.437999999999998
26.223
29.592
48.421
16.143999999999998
123.634
18.945
21.599
35.667
26.354
17.699000000000002
24.413
8.013
18.799
22.945
26.376
18.265
8.166
11.784
27.891
26.992
27.768
16.631
15.421
13.272
36.803
13.853
9.471
14.623
48.085
20.984
4.425
34.195
10.821
19.698
27.497
18.872
25.91
16.327000000000002
24.799
14.086
24.899
15.526
23.711
18.488
17.678999999999998
27.558
20.883
19.487
35.64
15.28
44.504
13.406
28.173
7.642
8.577
21.457
26.275
17.131
22.851
14.542
15.454
23.895
14.426
30.039
27.578
16.675
18.431
24.565
11.556
24.037
13.164
16.677
15.789
14.268
11.585
12.045
22.413
18.581
14.498
11.957
43.574
12.242
38.001
36.555
24.934
14.77
11.705
13.089
19.959
11.629
15.414
12.262
19.238
18.132
13.642
17.869
7.438
12.055
15.751
33.533
13.95
7.648
17.367
15.934
10.719
17.507000000000002
14.492
33.066000000000004
15.532
34.644
15.511
12.935
8.9440000000000016
29.428
57.405
17.101
16.863
32.691000000000004
23.451
45.178
16.668
54.844
13.984
10.225
22.031
26.187
9.186
10.208
21.676
7.566
15.396
48.947
16.587
36.501
27.788
24.887
23.209
21.061
48.368
31.56
13.474
16.753
6.662
34.360999999999996
24.154
16.974
14.481
10.656
14.137
14.088
9.513
13.113
13.483
11.436
25.948
36.191
20.562
22.631
18.255
11.793
9.067
5.586
5.862
5.134
14.413
18.427
10.755
13.393
15.67
11.598
21.671
11.203
14.124
43.096
17.419
21.344
7.166
15.629
9.127
5.9029999999999992
23.573
22.261
3.5
20.772
5.224
8.8510000000000016
35.232999999999996
6.965
8.804
23.299
7.696
13.204
14.858
10.408
12.639
15.724
24.96
18.415
22.162
11.327
12.014
10.503
7.634
11.028
17.347000000000002
11.888
10.422
8.8
27.021
22.746
16.351
8.468
14.685
7.845
12.422
14.476
15.813
14.689
34.281999999999996
9.945
5.526
11.573
15.927
16.419
30.776
11.162
24.354
9.6489999999999984
13.416
27.256
8.215
10.918
17.636
25.405
10.163
13.072
15.728
9.7579999999999984
13.428
25.589
7.748
27.958
8.377
11.539
18.249
15.884
23.702
43.646
12.912
14.437
10.193
38.162
22.923
22.827
20.715
12.916
18.384
18.102
10.231
21.063
18.295
20.793
23.244
4.541
31.862
14.431
6.934
22.864
15.325
12.001
28.384
13.901
6.889
6.941
32.026000000000004
15.784
15.572
14.124
11.762
10.784
11.11
24.401
17.108
11.627
17.128
17.841000000000002
10.798
6.5439999999999992
32.49
10.464
14.785
18.367
15.719
17.279
14.338
10.614
8.634
11.982
11.634
13.99
17.146
32.064
12.324
12.169
36.926
15.124
19.757
29.157
7.589
18.251
17.073
17.383
13.784
30.808
12.997
15.829
7.078
10.094
52.248
31.42
28.336
8.238
23.127
11.992
15.63
7.599
37.722
9.836
22.901
20.876
19.609
26.278
22.151
23.085
20.781
19.547
30.881
8.646
9.4309999999999984
8.166
42.341
52.299
21.261
18.984
22.515
10.748
23.953
5.7779999999999992
21.102
19.604
17.190999999999998
13.453
10.907
21.074
26.934
17.692
21.834
3.601
13.644
16.477
7.77
26.311
15.681
11.726
10.989
7.899
20.872
17.652999999999998
22.433
11.81
13.357
15.464
6.259
10.342
74.799
10.935
8.766
13.466
7.756
28.122
24.583
25.585
15.115
19.836
21.898
14.976
5.547
14.497
20.833
28.465
14.819
14.139
13.238
14.346
23.662
9.4629999999999984
9.009
26.823
18.39
11.054
12.617
16.100000000000002
44.664
16.425
15.556
13.318
13.149
21.32
15.944
9.637
27.932
17.722999999999998
23.376
12.583
6.747
15.029
11.513
10.431
11.781
13.441
7.856
17.413
14.054
11.93
22.058
9.304
19.049
12.31
17.449000000000002
11.936
44.615
27.949
13.278
14.074
8.7870000000000016
30.399
14.042
5.599
14.039
21.133
3.955
10.107
12.253
27.037
21.838
16.414000000000002
19.381
7.606
26.29
25.93
6.9720000000000008
9.506
34.284
42.492
14.413
11.826
19.143
28.205
13.6
18.15
26.229
34.195999999999996
8.701
16.888000000000002
15.663
16.122
7.682
23.712
17.085
8.221
14.907
14.405
11.832
21.522
15.867
9.196
27.43
18.399
26.346
26.366
10.243
14.301
25.888
18.115
13.776
14.622
13.465
12.104
12.737
19.233
14.088
24.336
24.108
31.127
35.295
24.115
26.121
28.568
17.826
11.361
13.349
36.919
14.006
35.445
22.866
18.241
9.47
16.456
15.839
14.351
5.223
15.504
11.486
12.363
15.345
9.5879999999999984
12.313
19.581
10.642
10.508
23.433
12.447
32.914
11.045
24.893
38.544
6.475
7.821
9.378
12.894
18.019
19.73
26.037
12.034
23.384
33.659
13.327
14.489
29.186
28.237
14.23
19.392
12.776
31.885
30.532
16.227
20.212
42.063
9.142
13.107
27.12
17.677
19.024
33.058999999999996
13.763
17.992
18.715
12.192
14.17
9.432
18.42
4.319
30.896
16.524999999999998
24.81
25.208
14.612
19.49
36.161
23.167
17.187999999999998
12.609
9.32
31.421
20.13
16.059000000000002
26.387
46.107
13.531
65.785
13.422
20.553
7.636
13.518
26.819
18.755
9.019
14.375
13.226
13.218
17.466000000000002
7.1609999999999992
24.763
11.416
13.362
19.756
41.478
12.875
6.968
12.561
12.31
7.55
4.157
11.316
9.153
7.524
16.806
22.407
7.838
6.047
23.665
11.712
13.608
15.121
17.543
17.114
14.271
24.094
5.522
22.954
17.806999999999998
11.361
39.231
15.679
9.266
15.961
13.196
17.773
15.142
16.073
18.935
22.536
10.574
14.372
14.082
11.149
9.578
13.618
17.364
24.683
13.595
6.876
23.885
7.423
5.424
15.572
13.416
18.512
38.194
43.168
18.512
23.999
5.439
16.843
25.855
6.666
7.1
11.609
13.564
21.526
14.625
16.190000000000002
11.961
10.561
2.234
25.596
8.282
8.151
7.711
9.861
26.478
10.401
18.485
8.4120000000000016
25.272
10.93
13.685
14.595
14.067
12.412
24.78
20.099
11.69
23.855
12.564
20.819
14.404
14.173
26.279
31.966
7.408
12.328
13.441
14.919
12.357
10.94
35.482999999999996
8.635
23.913
8.5079999999999984
22.935
20.844
24.116
8.296
9.361
34.557000000000004
21.695
16.913
16.7
6.854
14.713
21.006
23.41
25.971
25.952
7.854
69.206
42.357
15.039
7.932
11.527
27.439
9.6170000000000016
11.256
7.677
7.61
24.204
12.526
16.079
42.164
23.861
8.573
6.1050000000000008
13.976
17.636
19.462
23.287
11.221
8.576
11.058
27.798
10.931
18.572
8.5
31.713
23.173
8.312
27.249
23.616
21.495
13.821
15.286
13.163
24.569
13.59
20.017
15.569
18.179
27.956
12.954
14.621
21.028
18.536
6.614
18.887
8.606
14.42
13.927
15.483
8.143
22.936
25.441
17.161000000000002
9.512
26.001
18.104
8.218
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census3
structure
3
.Data
numeric
3200
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demand
structure
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8
11
55
59
63
67
70
73
76
79
82
85
88
91
94
97
100
103
106
109
112
115
118
121
124
127
130
133
136
139
142
145
148
151
154
157
160
15
18
21
24
27
30
33
36
39
42
45
48
51
1
4
7
10
13
57
61
65
69
72
75
78
81
84
87
90
93
96
99
102
105
108
111
114
117
120
123
126
129
132
135
138
141
144
147
150
153
156
159
14
17
20
23
26
29
32
35
38
41
44
47
50
53
3
6
9
12
56
60
64
68
.Label
character
161
1/ 1/93
1/ 4/92
1/ 7/94
1/ 8/93
1/11/92
1/14/94
1/15/93
1/18/92
1/21/94
1/22/93
1/25/92
1/28/94
1/29/93
10/ 1/93
10/ 3/92
10/ 4/91
10/ 8/93
10/10/92
10/11/91
10/15/93
10/17/92
10/18/91
10/22/93
10/24/92
10/25/91
10/29/93
10/31/92
11/ 1/91
11/ 5/93
11/ 7/92
11/ 8/91
11/12/93
11/14/92
11/15/91
11/19/93
11/21/92
11/22/91
11/26/93
11/28/92
11/29/91
12/ 3/93
12/ 5/92
12/ 6/91
12/10/93
12/12/92
12/13/91
12/17/93
12/19/92
12/20/91
12/24/93
12/26/92
12/27/91
12/31/93
2/ 1/91
2/ 1/92
2/ 4/94
2/ 5/93
2/ 8/91
2/ 8/92
2/11/94
2/12/92
2/15/91
2/15/92
2/18/94
2/19/93
2/22/91
2/22/92
2/25/94
2/26/93
2/29/92
3/ 1/91
3/ 5/93
3/ 7/92
3/ 8/91
3/12/93
3/14/92
3/15/91
3/19/93
3/21/92
3/22/91
3/26/93
3/28/92
3/29/91
4/ 2/93
4/ 4/92
4/ 5/91
4/ 9/93
4/11/92
4/12/91
4/16/93
4/18/92
4/19/91
4/23/93
4/25/92
4/26/91
4/30/93
5/ 2/92
5/ 3/91
5/ 7/93
5/ 9/92
5/10/91
5/14/93
5/16/92
5/17/91
5/21/93
5/23/92
5/24/91
5/28/93
5/30/92
5/31/91
6/ 4/93
6/ 6/92
6/ 7/91
6/11/93
6/13/92
6/14/91
6/18/93
6/20/92
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
2730.69
2830.69
2934.65
2889.36
2909.9
2955.2
2948.27
2858.91
2913.86
2896.7800000000004
2920.79
2965.59
2912.38
2938.86
2920.17
2886.63
2913.91
3027.5
2976.7399999999996
3000.45
2965.56
2906.75
2932.4699999999996
2980.77
3016.32
2972.5
3006.2600000000004
2996.2
2968.02
3040.25
3043.6
3011.63
2985.69
3019.23
3006.04
2961.7600000000004
2983.68
3077.15
3004.92
3056.35
3045.62
2943.2
2902.73
2894.68
2886.4
2914.36
2934.48
3101.52
3201.48
3199.46
3264.98
3232.7800000000004
3223.39
3225.4
3245.9699999999996
3280.19
3267.67
3221.6
3235.91
3276.39
3231.44
3249.11
3255.37
3366.5
3324.46
3336.09
3369.41
3353.09
3386.77
3396.88
3398.69
3354.36
3285.35
3282.41
3330.29
3330.56
3331.64
3285.71
3393.7800000000004
3332.18
3328.94
3254.1
3267.61
3281.93
3305.7
3327.05
3250.32
3200.61
3136.58
3174.41
3207.64
3226.2800000000004
3240.06
3233.0300000000004
3227.36
3282.2
3288.68
3304.08
3313.27
3326.2399999999996
3301.11
3251.67
3271.12
3256.81
3310.0300000000004
3442.14
3392.43
3322.18
3370.81
3404.58
3427.82
3471.58
3439.98
3370.81
3396.48
3478.61
3413.77
3427.55
3437.19
3443.0100000000004
3492.83
3527.43
3545.14
3505.0100000000004
3494.77
3490.89
3483.9699999999996
3521.06
3528.29
3546.7399999999996
3539.4699999999996
3560.43
3569.65
3615.48
3640.63
3633.93
3621.63
3613.25
3543.11
3581.11
3584.7399999999996
3629.73
3649.3
3680.59
3643.43
3684.51
3694.01
3683.95
3704.07
3740.67
3751.57
3757.72
3754.09
3820.77
3867.2
3914.48
3945.43
3871.42
3894.78
3887.46
3838.78
sp
numeric
161
343.05
359.35000000000004
369.06
365.65
370.47
374.95
373.59
367.48
375.22
375.36
380.4
384.2
379.02
380.8
375.74
372.39
377.49
389.83
379.43
382.29
377.75
371.16
374.08
380.25
384.22
380.93
387.18
387.12
385.58
394.17
395.43
389.1
383.59
387.92
385.9
381.25
381.45
392.5
384.2
391.32
392.89
382.62
376.14
375.22
379.1
384.47
387.04
406.46
419.34
415.1
418.86
415.48
408.78
411.09
412.48
411.43
412.7
404.44
405.84
411.25
403.5
401.55
404.29
416.04
409.02
412.53
416.05
410.09
414.02
415.35
413.48
409.76
403.67
403.45
411.77
414.62
415.62
411.6
424.22
418.88
419.91
414.85
414.84
417.08
419.58
422.93
414.35
410.47
402.66
411.73
414.1
418.68
417.58
422.43
426.65
430.16
432.06
433.73
441.28
439.77
435.71
429.05
437.15
436.11
438.78
448.93
444.58
434.22
443.38
446.11
449.83
450.18
447.78
441.39
441.84
448.94
437.03
440.19
442.31
439.56
445.84
450.19
450.06
447.26
443.68
447.6
445.84
448.11
445.75
447.1
448.13
448.68
450.14
456.16
460.54
461.34
461.72
458.83
457.63
461.28
460.31
469.5
463.27
467.83
459.57
465.39
462.6
463.06
464.89
463.93
466.38
467.38
466.45
469.9
474.91
474.72
478.7
469.81
470.18
467.69
466.07
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
24.828
24.688
19.31
59.706
99.667
49.333
59.375
55.172
55.517
25.938
20.69
24.333
22.759
24.688
22.759
50.588
79
87.188
47.333
38.621
27.931
25
17.241
17
22.188
18.276
27.241
39.706
81.667
79.688
67.667
65.861999999999992
54.839
34.667
23.448
29.586
32.448
30.033
43.586
48.029
52.424
62.333
71.156000000000008
44.621
19.357
23.733
10.414
17.875
24.207
24.333
40.935
42.938
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
87.9
88.5
88.8
90.2
78.1
79.6
81.5
82.4
80.5
77.7
76.7
73.2
69.3
72.2
76
73.3
75
75.5
77.6
75.9
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
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2
0
0
0
0
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0
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0
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2
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0
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2
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0
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2
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0
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0
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0
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3
0
0
0
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2
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0
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0
0
0
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0
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2
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0
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0
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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
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0
0
0
0
0
0
0
1
2
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0
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2
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2
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2
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0
0
0
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0
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1
2
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0
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0
0
1
2
3
0
0
0
0
0
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2
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0
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2
0
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0
0
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0
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1
2
1
0
0
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0
0
0
0
0
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2
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0
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0
1
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
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0
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0
0
1
2
3
3
0
0
0
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0
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0
1
2
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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
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week
numeric
672
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year
numeric
672
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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
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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
0.28599999999999996
0.29
0.27500000000000004
0.331
0.307
0.28899999999999996
0.266
0.262
0.28299999999999996
0.233
0.264
0.243
0.25
0.251
0.254
0.262
0.263
0.254
0.28499999999999996
0.236
0.263
0.238
0.293
0.254
0.26
0.26
0.207
0.231
0.28100000000000004
0.219
0.192
0.189
0.333
0.328
0.301
0.186
0.17499999999999998
0.24
0.118
0.193
0.266
0.27
0.25
0.268
0.303
0.3
0.27400000000000004
0.218
0.296
0.17299999999999998
0.2
0.209
0.28699999999999996
0.31
0.28100000000000004
0.251
0.242
0.2
0.196
0.28699999999999996
0
0.177
0.27800000000000004
0.243
0.232
0.207
0.309
0.203
0.26
0.294
0.29
0.217
0.27900000000000004
0.216
0.255
0.226
0.22
0.307
0.196
0.213
0.258
0.302
0.256
0.293
0.293
0.272
0.254
0.249
0.26
0.28000000000000004
0.17599999999999998
0.244
0.243
0.244
0.14299999999999998
0.25
0.267
0.291
0.165
0.28499999999999996
0.245
0.264
0.202
0.265
0.209
0.17599999999999998
0.27600000000000004
0.28199999999999996
0.252
0.13800000000000002
0.219
0.28599999999999996
0.265
0.17599999999999998
0.267
0.315
0.28000000000000004
0.243
0.249
0.244
0.177
0.256
0.243
0.264
0.254
0.205
0.24
0.248
0.27300000000000004
0.2
0.28000000000000004
0.292
0.212
0.24
0.213
0.19
0.27700000000000004
0.253
0.213
0.224
0.308
0.263
0
0.238
0.27500000000000004
0.331
0.259
0.246
0.291
0.291
0.244
0.145
0.224
0.231
0.241
0.212
0.28399999999999996
0.317
0.33
0.248
0.291
0.294
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
0.533
0.588
0.421
0.56899999999999992
0.34499999999999996
0.444
0.261
0.443
0.458
0.424
0.417
0.427
0.368
0.291
0.514
0.394
0.316
0.366
0.484
0.474
0.505
0.464
0.34399999999999996
0.507
0.321
0.48
0.516
0.295
0.356
0.451
0.362
0.432
0.34300000000000004
0.409
0.462
0.354
0.48
0.325
0.258
0.354
0.368
0.364
0.395
0.424
0.418
0.386
0.243
0.508
0.296
0.33700000000000004
0.391
0.425
0.434
0.4
0.27700000000000004
0.597
0.4
0.468
0.478
0.292
0.379
0.254
0.269
0.516
0.38
0.31
0.44
0.4
0.418
0.489
0.43
0.389
0.326
0.381
0.331
0.408
0.34100000000000004
0.381
0.365
0.535
0.533
0.424
0.464
0.422
0.35199999999999996
0.35199999999999996
0.452
0.423
0.33600000000000004
0.374
0.315
0.376
0.403
0.323
0.233
0.33600000000000004
0.437
0.357
0.411
0.483
0.317
0.333
0.413
0.308
0.408
0.179
0.3
0.386
0.34200000000000004
0.368
0.28599999999999996
0.362
0.439
0.412
0.34300000000000004
0.415
0.272
0.452
0.292
0.55000000000000008
0.293
0.375
0.27300000000000004
0.34200000000000004
0.299
0.407
0.405
0.442
0.35199999999999996
0.366
0.318
0.28499999999999996
0.237
0.319
0.34200000000000004
0.395
0.381
0.361
0.438
0.323
0.467
0.315
0.413
0.428
0.396
0.35099999999999996
0.363
0.401
0.33700000000000004
0.49
0.167
0.34200000000000004
0.37
0.383
0.35199999999999996
0.314
0.459
0.379
0.34899999999999996
0.452
0.45
sanext
numeric
162
0.55000000000000008
0.533
0.387
0.43
0.456
0.375
0.542
0.383
0.438
0.41
0.496
0.392
0.395
0.433
0.34100000000000004
0.432
0.395
0.416
0.484
0.408
0.449
0.417
0.409
0.327
0.417
0.308
0.302
0.447
0.41
0.272
0.272
0.258
0.59
0.47
0.42
0.209
0.268
0.35099999999999996
0.147
0.26
0.361
0.414
0.421
0.44
0.494
0.397
0.323
0.31
0.379
0.264
0.263
0.316
0.398
0.417
0.438
0.34100000000000004
0.433
0.263
0.27
0.56799999999999992
0
0.27
0.367
0.365
0.384
0.355
0.397
0.318
0.441
0.459
0.483
0.261
0.458
0.295
0.34000000000000004
0.321
0.402
0.406
0.258
0.307
0.533
0.55600000000000008
0.373
0.409
0.412
0.35099999999999996
0.42
0.359
0.366
0.5
0.196
0.33
0.373
0.35099999999999996
0.257
0.313
0.401
0.403
0.206
0.41
0.399
0.392
0.27700000000000004
0.535
0.326
0.235
0.37
0.326
0.28100000000000004
0.184
0.45
0.33700000000000004
0.439
0.206
0.444
0.387
0.5
0.34899999999999996
0.394
0.302
0.258
0.34999999999999996
0.309
0.33700000000000004
0.34200000000000004
0.205
0.435
0.384
0.428
0.259
0.368
0.499
0.331
0.26
0.27900000000000004
0.28599999999999996
0.505
0.33
0.325
0.306
0.365
0.361
0
0.373
0.532
0.415
0.358
0.3
0.34499999999999996
0.377
0.34899999999999996
0.161
0.408
0.315
0.35199999999999996
0.332
0.47
0.466
0.435
0.376
0.425
0.464
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
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
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
4.4
3.9
4
4
3.5
4.1
2.3
4.7
1.7
4.9
1.7
4.6
3.4
4.3
1.7
3.9
3.7
3.1
4
1.8
4.1
1.8
3.2
1.9
4.6
2
4.5
3.9
4.3
2.3
3.8
1.9
4.6
1.8
4.7
1.8
4.6
1.9
3.5
4
3.7
3.7
4.3
3.6
3.8
3.8
3.8
2.5
4.5
4.1
3.7
3.8
3.4
4
2.3
4.4
4.1
4.3
3.3
2
4.3
2.9
4.6
1.9
3.6
3.7
3.7
1.8
4.6
3.5
4
3.7
1.7
4.6
1.7
4
1.8
4.4
1.9
4.6
2.9
3.5
2
4.3
1.8
4.1
1.8
4.7
4.2
3.9
4.3
1.8
4.5
2
4.2
4.4
4.1
4.1
4
4.1
2.7
4.6
1.9
4.5
2
4.8
4.1
4.1
4.2
4.5
1.9
4.7
2
4.7
2.5
4.3
4.4
4.4
4.3
4.6
2.1
4.8
4.1
4
4
4.4
4.1
4.3
4
3.9
3.2
4.5
2.2
4.7
4.6
2.2
4.8
4.3
3.8
4
4.1
1.8
4.4
4
2.2
5.1
1.9
5
4.4
4.5
3.8
4.3
4.4
2.2
4.8
1.9
4.7
1.8
4.8
2
4.4
2.5
4.3
4.4
1.9
4.7
4.3
2.2
4.7
2.3
4.6
3.3
4.2
2.9
4.6
3.3
4.2
2.6
4.6
3.7
1.8
4.7
4.5
4.5
4.8
2
4.8
1.9
4.7
2
5.1
4.3
4.8
3
2.1
4.6
4
2.2
5.1
2.9
4.3
2.1
4.7
4.5
1.7
4.2
4.3
1.7
4.4
4.2
2.2
4.7
4
1.8
4.7
1.8
4.5
2.1
4.2
2.1
5.2
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
2
duration
numeric
298
4
2.2000000000000008
N
N
N
N
4.4000000000000016
4.3
2
4.8
1.8
5.5
1.6000000000000004
4.9000000000000016
4.4000000000000016
1.8
4.7
N
4.8
4.2
1.9
5
N
N
N
N
2.8
4.5
4.1
3.7
3.5
4.5
2.2000000000000008
4.9000000000000016
2.6
4.2
2.2000000000000008
4.8
1.8
4.6
2.3
4.1
N
N
N
N
1.9
4.3
2.1
4.5
2.2000000000000008
4
1.8
4.3
2.2000000000000008
4.5
3.9
3.3
3.7
4
1.9
5.3
N
N
N
N
N
N
3.5
2.2000000000000008
4.5
2
4.2
4.2
4.3
1.9
4.7
3.8
4
4.2
4.7
1.8
N
N
N
N
4.5
2.1
4.3
1.9
4.7
1.7
4.4000000000000016
1.8
4.6
1.9
4.5
1.6000000000000004
5
1.8
5.1
1.6000000000000004
4.3
N
N
N
4.5
2
N
2.9
4.7
3.9
2
4.1
1.8
4.7
1.8
4.7
2.1
4.8
1.8
4.1
4.7
N
N
N
N
4.2
4.1
3.9
3.8
4.4000000000000016
2.5
4.2
3.8
4.3
3.9
4.7
1.7
5
4.3
4.6
N
N
N
N
2
4.6
0.8
4.9000000000000016
1.7
4.6
1.7
4.8
1.8
4.5
1.9
4.5
4.5
4
4.8
N
N
N
N
1.9
4.6
2
3.7
2.9
4.8
3.4
4.4000000000000016
1.8
4.4000000000000016
2.5
4.5
2.1
4.3
4.3
1.8
4.9000000000000016
1.8
N
N
N
3.9
1.9
4.7
2
4.5
1.9
4.2
1.9
4.3
3.3
4.2
1.9
5
1.9
4
2
4.8
N
N
N
N
2.4
4.4000000000000016
4.2
4.4000000000000016
2
4.5
1.8
4.5
1.6000000000000004
4.7
2.6
3.7
4.2
1.9
4.4000000000000016
N
N
N
4.2
4
4.1
1.9
4.5
2
4.2
1.7
4.5
4.3
4
4.4000000000000016
2
4.5
4.3
1.9
4.4000000000000016
N
N
N
N
3.3
1.8
4.6
1.8
4.6
4.6
4.5
1.9
5
2
4.3
4.2
4.5
4.4000000000000016
4.6
N
N
N
3.9
N
4.5
1.8
4
2.8
4.7
4
2
5
1.9
4.8
N
N
N
N
N
N
N
N
N
1.9
4.3
1.7
4.8
2
4.7
1.9
4.4000000000000016
2.1
4.1
2.1
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
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
11.8
8.2
10.4
11.3
9.1
9.3
8
10
10.8
10.8
8.9
8
8.8
10.1
9.5
9.3
11
12.9
9.2
8.7
10.5
9.9
10.3
11.1
10.8
9
9.8
9.2
8.3
7.4
10.7
9.5
9.8
12.9
10.4
9.8
8.9
11
8.7
10.1
10.6
12.3
10.1
8.6
8.2
9.9
8.7
9.8
12.9
7.6
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
21.2
32.6
19.3
23.5
21.9
19.9
19.1
20.3
15.4
16
15.1
18
19.2
18.2
14.4
18.1
16.899999999999998
18.2
18.2
15.4
15.1
13
17.5
16.3
18.2
21.5
11.8
12.3
11.1
14.8
16.899999999999998
15.1
13.9
16.100000000000002
13.5
17.600000000000002
17.399999999999998
9.7
13.8
8.9
13.4
8
7.8
7.3
13.7
10.6
9.3
7.4
14.4
10.4
8.8
14.5
10.9
12.5
2.3
10.4
9.1
9
7.5
8.8
8.7
10.3
8.9
2.9
5.4
7.6
9.5
4.2
6.6
3.6
10
8.1
5.2
10.5
8.8
6.6
4.3
6.6
6.3
7.8
2.5
4
6.1
6
4.5
4.3
5.4
3.9
4.5
4.4
4.8
2.3
7.8
8.4
8.6
3.7
2.4
5.2
4.5
3.6
2.6
1.7
2.2
3
3.7
apg
numeric
105
3.2
5.5
2.9
4
4.9
5.7
6.9
3.9
9.4
5.6
8.7
4.5
4.2
5.2
8.8
1.6
3.9
8
2.9
3.8
6.9
5.4
5.1
4.7
5.4
10.6
3.3
4
2.3
7.5
8.2
12
3
7.8
4.9
8.5
3.5
2.6
4.2
1.3
8.4
2.3
5.3
3.5
7.2
4.6
2.7
4
7.6
7.7
4.1
7
5.8
1.9
2
2.2
1.9
1.6
2.6
1.4
7.5
1
4.6
1.8
1.7
2.6
3
2.3
4.8
3.1
8.8
3.5
1.2
4.4
3.7
2.5
2.5
5.7
3
2.2
1.2
2.9
2.8
1.1
3.1
2.4
1.3
2.3
2.3
1.4
0.5
0.69999999999999992
6.4
4
2.9
1.8
2.3
3.3
2.2
1.7
1.4
1
1.4
0.3
0.4
rpg
numeric
105
3.1
6.7
3.1
1.9
3.4
6.3
4.3
4.3
3.7
4.1
3.6
5.3
2.8
3.9
4.7
2.2
4.9
2.7
2.5
3.5
3.3
2
2.6
4.4
2
4
2.7
1.8
2.7
3.4
4.1
2.9
3
2.1
3.4
2.9
3.2
1.7
3.1
3.2
3.5
2.5
2.5
3.8
4.3
2
1.5
2.2
3.6
3.6
1.8
2.8
3.1
1.5
0.69999999999999992
2.3
2.8
3.9
2.1
1.8
1.9
2
1.8
0.69999999999999992
1.1
2.8
2.3
0.8
1.9
1.2
3.7
2.4
1
2.1
2.2
1.7
1.2
2.4
1.2
1.6
0.6
1
1.2
1.6
1.6
1.5
0.69999999999999992
1.5
1.2
0.9
0.69999999999999992
0.9
2.1
2
1.4
0.8
0.8
1.4
0.69999999999999992
1.1
0.4
0.3
1.6
0.5
1.2
fgp
numeric
105
47.9
49.5
51.7
46.6
47.4
42.9
47
47
46.7
45.1
44.6
45.1
45
45.4
48.6
49.4
44.9
48.4
48.9
46.4
50.8
52
42.8
39.5
41.9
44.7
46.2
49.9
45.3
43.9
43.5
48.6
46.8
49.9
49.4
41.8
54.3
44.3
40.7
44.6
42.9
47.1
43.7
39.3
48.5
46.4
45.8
50.7
46.8
47.9
43.6
43.3
46.8
47.7
36
46.8
44.3
45.8
41.5
43.6
50.2
47.5
43.7
41.3
43.8
46.3
50.5
45.1
44.1
54.8
45.3
47.1
48.5
47
47.8
40.7
43.3
41.5
47.5
45.1
37.8
39
39.1
48.4
37.8
43.6
41.5
35.799999999999996
42.5
36.9
50.9
36.5
49.8
42.3
59.5
42.3
39.2
45.6
43.9
37.2
51.4
34.799999999999996
35.4
46.3
42.4
ftp
numeric
105
88
83.7
84.1
86.4
84.5
83.9
86.5
86
89.2
78.7
90.7
76.9
93.5
84.3
80.3
85.2
77.2
94.8
88.9
74.6
82.3
87.8
79.5
73.9
75.6
77.4
84.8
86.1
84
85.6
77.6
79.8
84.4
81.9
77
73.7
76.1
78.9
71.900000000000008
83.2
72.8
79.8
82.1
78.2
71.7
80.5
85.8
86.3
78
74.2
77.7
85.1
79.3
81
83.3
78.6
72.7
65.599999999999992
70
80.3
79.1
76.2
79.6
87.5
79.6
73.2
72.6
85
74.3
88.9
83.3
72.8
81.8
76.8
82.5
79.4
79.2
67.3
83
83.1
83.3
85
77.9
75.6
65.400000000000008
77.6
77.8
79.4
84
67.3
75
81.8
56
57.4
77.8
73.2
71.400000000000008
57.4
62.5
56.7
68.400000000000008
73.1
46.2
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
0.066699999999999992
-0.071400000000000008
-0.0294
0.0423
-0.016899999999999998
-0.0182
-0.1092
0.0192
-0.0707
-0.0396
-0.0381
0.0459
0.0038
0.0156
-0.0541
0.0078
-0.0398
0.1176
0.0057
-0.032300000000000004
0.0476
0.1224
-0.039
-0.0563
-0.0139
0.0172
-0.0423
-0.0221
-0.0081
nyseret
numeric
30
-0.0246
-0.0212
0.0789
-0.025
-0.0208
-0.0299
0.006
-0.029
0.0435
0.0891
-0.0102
0.0266
-0.049
-0.01
0.0566
0.063200000000000008
0.0098
-0.027
-0.0252
0.023
-0.0588
-0.0112
0.0484
-0.0178
0.025
-0.0185
0.0062
0.0057
0.0112
0.0026
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
95.28
52.97
533.58000000000008
17104.86
308.45999999999996
159.96
10
234.43
443.89
2.5
51
0
9.1
0
140
0
12
0
0
34
0
0
0
422.1
6.74
7.06
46.71
159.56
14
4.18
3.19
8.77
4.2300000000000008
20.6
20.6
5.5
6.6
pcb85
numeric
37
77.55
29.23
403.1
736
192.15
220.6
8.62
174.31
529.28
130.66999999999998
39.74
0
8.43
0
120.04
0
11.93
0
0
30.14
0
0
0
531.66999999999992
9.3
5.74
46.47
176.9
13.69
4.89
6.6
6.7300000000000008
4.28
20.5
20.5
5.8
5.08
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
3.44697
-2.84312
-0.63888
0.91474
27.52827
18.58261
15.79292
1.44333
-1.02077
0.49458
22.83059
12.89455
0.25738
1.59568
-2.80343
37.65431
10.65676
2.41913
4.91362
9.9384599999999984
0.04492
1.93853
54.13197
4.04763
-4.78494
2.53347
36.10757
4.73297
-2.18995
4.6672
1.2020900000000002
0
8.06798
-1.79143
8.34927
3.82773
11.62342
2.3633
-4.13043
1.51669
34.643880000000004
1.46547
41.69817
15.95272
chngex85
numeric
44
-2.22615
-11.9725
-11.4966
-3.14511
12.77215
25.22128
11.92314
-5.8118
0.9235
-10.7561
48.02549
27.0518
-9.66089
-10.0165
-12
35.84377
2.75455
4.6399800000000008
6.94463
10.12818
-5.8101900000000008
-8.94559
10.73435
-9.32146
-9.98505
-4.12822
47.86589
-3.99072
-12.0211
-3.7647
-6.34609
0
5.34709
-3.87604
2.98435
-10.2346
7.77219
-7.48164
-11.4051
-1.19359
32.1791
-6.49466
48.92574
36.66251
chngin75
numeric
44
3.62836
-2.14455
-2.1776399999999996
0.95945
27.02101
17.09647
14.48453
0.08685
-2.40715
1.23206
18.14339
9.01533
1.34951
1.55156
-1.89497
37.65242
11.08797
1.82156
2.44539
8.20899
11.1806
2.8799800000000004
54.21602
5.41199
-3.43752
2.9604
35.51927
3.39187
-1.4449
6.68496
1.78928
-1.2653
9.07668
-2.59469
8.35791
5.0951000000000008
7.67709
3.01878
-3.19965
0.58023
32.24987
3.4174000000000004
41.48201
13.52651
chngin85
numeric
44
3.99243
-3.0003700000000004
-4.454
-0.37619
12.64657
20.69606
10.13828
-1.39634
-1.64527
-1.8000100000000002
38.08751
15.95062
-0.85196
-1.0754300000000002
-2.19218
31.21122
9.90171
6.46403
4.77629
6.08801
18.13681
-1.37732
17.694849999999998
1.35831
-4.3655
-0.95035
49.22527
1.78159
-2.19218
3.55156
2.07169
-4.6994
5.50364
-3.73536
11.4217
-0.19617
8.5365300000000016
1.08788
-2.01475
1.84642
37.06542
2.23105
52.36151
30.20931
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
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
9281.2618
9885.7197
11710.427
15509.067
14752.55
17924.064999999998
21949.377
23315.074
30692.293
36407.253
38292.406
44609.936
58702.304
56870.986
74159.426
79803.551
87831.507
vanguard
numeric
18
10000
9215.649
9756.9082
11517.425
15193.239
14402.241
17422.847000000002
21132.846
22446.111
29454.943
34774.475
36410.597
42316.969
55589.213
53741.335
69982.907999999992
75178.046
82613.237
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
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
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
4
1
0
20
1
15
0
3
3
50
1
30
4
30
5
2
50
6
5
3
2
1
20
6
1
1
8
12
30
1
1
10
50
1
1
0
7
50
1
6
5
5
3
1
17
20
1
12
3
1
0
30
1
2
0
30
12
5
10
3
2
6
5
1
20
15
100
3
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
200
3
34
3
3
3
5
4
2
1
6
14
1
5
50
1
1
15
10
1
0
50
100
4
20
68
50
2
100
4
6
10
4
50
8
3
1
20
1
4
50
25
6
2
50
3
10
5
15
1
1
1
1
4
1
15
15
1
25
3
6
1
4
12
0
1
4
6
3
0
4
4
2
0
4
6
1
4
5
4
10
20
10
2
6
4
4
3
2
3
5
20
1
75
5
4
20
2
5
1
5
5
3
8
20
1
9
6
2
1
3
1
0
30
5
3
10
2
1
4
7
4
10
1
20
5
0
125
10
20
1
20
4
12
10
10
4
8
4
3
4
2
1
90
3
10
1
2
1
10
6
4
5
10
7
1
14
50
0
0
6
20
20
17
1
2
1
6
6
28
15
4
3
6
4
68
4
3
1
3
0
2
1
10
6
1
20
20
5
2
11
8
6
4
12
3
1
10
2
1
2
40
4
2
2
4
2
100
3
5
2
3
4
1
1
10
1
0
1
0
10
4
1
5
8
4
0
10
1
3
0
40
20
5
5
100
4
4
3
6
6
4
2
6
1
1
0
4
70
11
0
3
5
1
15
6
6
100
30
1
40
200
0
2
0
1
4
15
2
0
0
1
4
2
7
20
165
2
1
25
20
5
1
1
20
3
75
10
6
1
5
3
0
4
3
5
10
75
10
4
0
0
5
25
30
4
8
3
3
12
18
10
3
6
0
20
2
1
6
20
6
1
3
2
1
30
50
8
1
0
100
20
10
3
1
15
2
6
3
50
50
2
2
1
2
7
6
6
6
3
6
6
5
3
2
2
0
40
25
1
0
2
0
20
2
1
2
15
0
1
4
9
1
5
1
6
6
30
2
2
6
1
2
20
12
3
20
2
20
0
30
5
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
numeric
1850
1
1
5
2
2
0
4
30
3
5
1
2
2
1
1
1
1
1
1
3
5
4
1
6
12
1
1
8
3
1
1
3
3
6
5
12
3
2
1
3
8
1
1
3
1
1
1
2
2
10
2
1
1
1
2
1
4
2
3
0
1
2
0
1
4
25
2
1
0
1
2
1
2
0
3
1
7
1
1
0
5
3
1
0
20
6
5
2
10
0
2
3
4
1
1
1
1
5
100
1
0
1
1
1
12
1
1
15
0
2
1
1
4
15
1
2
1
1
4
1
1
1
1
0
2
1
1
0
1
1
1
2
1
1
12
2
2
1
6
7
1
3
0
5
15
6
45
2
1
2
2
10
1
3
2
5
1
1
4
2
2
0
1
7
6
30
2
1
0
1
0
0
1
0
3
20
1
1
1
1
3
1
0
1
1
1
0
6
1
3
5
0
20
1
3
1
1
15
1
12
1
0
5
1
1
1
2
5
2
10
2
2
3
1
1
1
1
1
1
3
0
1
1
1
3
1
3
1
1
1
3
1
1
1
5
0
4
1
2
3
8
1
1
3
1
1
1
2
1
4
20
1
1
1
30
0
3
6
5
2
3
3
1
20
3
1
2
1
15
1
1
8
1
1
1
2
1
4
1
4
10
3
4
0
1
1
4
1
2
2
1
1
1
2
45
0
0
1
3
25
1
1
0
4
1
4
2
0
3
1
1
1
7
1
6
4
1
3
1
10
4
3
1
2
10
3
1
4
5
1
4
0
5
2
1
1
3
0
1
7
0
1
1
1
3
4
5
4
8
0
1
1
0
1
1
2
1
1
20
10
10
2
1
1
35
2
4
1
2
10
1
1
1
2
4
2
2
1
1
3
3
0
2
1
20
1
1
40
1
2
15
1
1
0
1
1
2
0
5
1
2
1
1
1
30
1
6
15
1
3
4
2
4
4
1
10
2
6
1
12
10
5
4
3
3
0
3
0
8
6
5
2
1
1
2
20
2
1
2
0
5
0
7
0
0
1
0
4
1
1
2
2
30
2
0
6
20
3
4
10
1
1
3
1
20
4
20
1
1
10
1
1
0
1
3
2
5
3
10
2
3
2
3
1
10
0
1
3
1
1
1
4
1
2
1
0
3
3
1
0
1
1
1
1
1
0
1
2
0
2
1
3
1
1
1
3
5
5
1
1
1
1
1
0
1
1
4
1
3
1
1
0
2
3
2
10
9
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8
class
character
1
data.frame
row.names
character
1850
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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
1549
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
317.34500000000004
349.079
357.01299999999996
349.079
349.079
285.61
285.61
285.61
285.61
190.407
222.141
158.672
222.141
317.34500000000004
412.548
174.53899999999998
333.212
285.61
190.407
253.876
476.017
412.548
444.282
476.017
460.15
444.282
444.282
476.017
507.751
412.548
380.813
285.61
364.946
301.47699999999996
380.813
412.548
428.415
476.017
491.884
444.282
444.282
317.34500000000004
412.548
349.079
269.743
238.008
190.407
158.672
126.938
95.203
63.469
154.597
154.597
340.11399999999996
309.195
216.436
401.953
324.654
309.195
401.953
371.033
309.195
278.27499999999996
340.11399999999996
216.436
247.356
324.654
309.195
355.574
278.27499999999996
340.11399999999996
401.953
463.792
432.872
525.631
494.711
432.872
340.11399999999996
494.711
371.033
355.574
340.11399999999996
401.953
371.033
371.033
401.953
278.27499999999996
463.792
371.033
216.436
216.436
309.195
154.597
108.218
154.597
432.872
401.953
587.47
355.574
309.195
185.517
200.976
154.597
60.187
150.46799999999998
120.374
150.46799999999998
120.374
90.281
75.234
60.187
60.187
60.187
90.281
75.234
60.187
90.281
90.281
90.281
120.374
150.46799999999998
180.561
240.748
210.655
331.029
270.842
300.935
300.935
331.029
421.309
451.403
361.122
300.935
361.122
391.216
285.88799999999996
240.748
240.748
270.842
331.029
391.216
481.496
541.683
361.122
451.403
421.309
601.87
421.309
210.655
225.701
120.374
150.46799999999998
90.281
45.14
15.047
144.118
288.23700000000004
288.23700000000004
304.25
320.26299999999996
224.184
240.197
224.184
256.20999999999996
224.184
224.184
160.132
160.132
128.10499999999998
96.079
128.10499999999998
128.10499999999998
128.10499999999998
144.118
112.092
192.158
160.132
192.158
192.158
160.132
224.184
192.158
160.132
96.079
160.132
128.10499999999998
144.118
128.10499999999998
128.10499999999998
128.10499999999998
128.10499999999998
192.158
192.158
128.10499999999998
96.079
112.092
256.20999999999996
192.158
144.118
192.158
144.118
128.10499999999998
96.079
96.079
64.053
32.026000000000004
16.013000000000002
46.436
123.829
185.743
216.7
216.7
309.572
216.7
216.7
309.572
216.7
185.743
216.7
278.615
278.615
247.658
371.486
402.444
464.358
526.27200000000008
619.144
495.315
526.27200000000008
464.358
371.486
402.444
402.444
557.23
619.144
495.315
495.315
495.315
495.315
464.358
340.529
340.529
340.529
263.13600000000004
309.572
185.743
309.572
247.658
247.658
185.743
247.658
185.743
185.743
216.7
92.872
92.872
61.914
61.914
61.914
41.75
111.332
166.999
139.166
166.999
139.166
139.166
166.999
222.665
139.166
222.665
194.832
278.331
250.498
250.498
250.498
194.832
194.832
194.832
194.832
222.665
250.498
194.832
222.665
222.665
222.665
222.665
222.665
194.832
194.832
278.331
222.665
194.832
194.832
306.164
306.164
333.997
278.331
306.164
306.164
306.164
236.582
278.331
250.498
306.164
194.832
139.166
83.499
83.499
41.75
27.833
0
27.085
81.255
81.255
81.255
135.42500000000002
94.798
81.255
121.883
135.42500000000002
135.42500000000002
162.51
135.42500000000002
108.34
162.51
135.42500000000002
176.053
108.34
162.51
81.255
162.51
135.42500000000002
216.68
121.883
108.34
108.34
176.053
108.34
135.42500000000002
81.255
148.96799999999998
81.255
54.17
54.17
54.17
54.17
81.255
54.17
54.17
54.17
54.17
54.17
40.628
40.628
40.628
27.085
27.085
27.085
27.085
13.543
13.543
0
0
149.153
238.645
328.137
268.476
283.391
298.307
357.968
298.307
343.053
298.307
328.137
298.307
313.22199999999996
298.307
328.137
328.137
343.053
357.968
372.883
387.799
328.137
328.137
328.137
387.799
328.137
387.799
357.968
417.63
298.307
387.799
238.645
223.73
238.645
238.645
208.815
298.307
208.815
298.307
238.645
298.307
268.476
298.307
238.645
328.137
298.307
208.815
149.153
208.815
238.645
178.984
223.73
74.577
308.293
567.908
584.134
649.038
665.264
649.038
616.586
681.49
616.586
843.749
649.038
746.393
713.941
649.038
649.038
778.845
746.393
746.393
649.038
681.49
746.393
746.393
713.941
713.941
681.49
649.038
584.134
681.49
519.23
519.23
486.778
519.23
486.778
486.778
551.682
551.682
681.49
551.682
649.038
519.23
649.038
486.778
551.682
551.682
649.038
486.778
454.326
389.423
356.971
356.971
275.841
81.13
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
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
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
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207
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209
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lockons1
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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
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53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
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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
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10
11
13
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12
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11
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13
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14
14
11
11
11
14
14
11
15
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14
11
13
15
12
13
18
18
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13
15
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14
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11
12
10
8
12
14
12
13
11
11
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8
8
10
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11
11
11
11
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10
11
7
8
11
8
12
9
13
9
13
10
11
8
15
12
18
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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
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332
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172
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714
435
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565
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253
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349
339
473
338
433
323
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449
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191
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132
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72
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132
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68
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135
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218
189
205
192
199
171
192
150
175
156
137
157
93
197
48
236
160
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69
222
308
244
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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
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28
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33
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16
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21
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12
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30
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22
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32
21
28
21
28
25
25
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28
36
30
42
40
22
11
41
36
30
22
37
33
27
34
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25
30
22
22
20
14
17
11
21
10
23
28
60
16
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34
23
20
66
39
17
23
22
53
30
22
22
25
39
22
25
19
22
15
20
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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
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1
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0
1
1
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0
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0
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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
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15
16
17
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19
20
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22
23
24
25
26
27
28
29
30
31
32
33
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35
36
37
38
39
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41
42
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54
55
56
57
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59
60
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63
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76
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80
81
82
83
84
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86
87
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159
160
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165
166
167
168
169
170
171
172
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177
178
179
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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