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Credit Rating problem added
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mehulnagpurkar 2019-03-12 16:51:43 +11:00
parent 81224815f9
commit 26544bf622
5 changed files with 574 additions and 0 deletions
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,Income,Limit,Rating,Cards,Age,Education,Gender,Student,Married,Ethnicity,Balance
1,14.891,3606,283,2,34,11, Male,No,Yes,Caucasian,333
2,106.025,6645,483,3,82,15,Female,Yes,Yes,Asian,903
3,104.593,7075,514,4,71,11, Male,No,No,Asian,580
4,148.924,9504,681,3,36,11,Female,No,No,Asian,964
5,55.882,4897,357,2,68,16, Male,No,Yes,Caucasian,331
6,80.18,8047,569,4,77,10, Male,No,No,Caucasian,1151
7,20.996,3388,259,2,37,12,Female,No,No,African American,203
8,71.408,7114,512,2,87,9, Male,No,No,Asian,872
9,15.125,3300,266,5,66,13,Female,No,No,Caucasian,279
10,71.061,6819,491,3,41,19,Female,Yes,Yes,African American,1350
11,63.095,8117,589,4,30,14, Male,No,Yes,Caucasian,1407
12,15.045,1311,138,3,64,16, Male,No,No,Caucasian,0
13,80.616,5308,394,1,57,7,Female,No,Yes,Asian,204
14,43.682,6922,511,1,49,9, Male,No,Yes,Caucasian,1081
15,19.144,3291,269,2,75,13,Female,No,No,African American,148
16,20.089,2525,200,3,57,15,Female,No,Yes,African American,0
17,53.598,3714,286,3,73,17,Female,No,Yes,African American,0
18,36.496,4378,339,3,69,15,Female,No,Yes,Asian,368
19,49.57,6384,448,1,28,9,Female,No,Yes,Asian,891
20,42.079,6626,479,2,44,9, Male,No,No,Asian,1048
21,17.7,2860,235,4,63,16,Female,No,No,Asian,89
22,37.348,6378,458,1,72,17,Female,No,No,Caucasian,968
23,20.103,2631,213,3,61,10, Male,No,Yes,African American,0
24,64.027,5179,398,5,48,8, Male,No,Yes,African American,411
25,10.742,1757,156,3,57,15,Female,No,No,Caucasian,0
26,14.09,4323,326,5,25,16,Female,No,Yes,African American,671
27,42.471,3625,289,6,44,12,Female,Yes,No,Caucasian,654
28,32.793,4534,333,2,44,16, Male,No,No,African American,467
29,186.634,13414,949,2,41,14,Female,No,Yes,African American,1809
30,26.813,5611,411,4,55,16,Female,No,No,Caucasian,915
31,34.142,5666,413,4,47,5,Female,No,Yes,Caucasian,863
32,28.941,2733,210,5,43,16, Male,No,Yes,Asian,0
33,134.181,7838,563,2,48,13,Female,No,No,Caucasian,526
34,31.367,1829,162,4,30,10, Male,No,Yes,Caucasian,0
35,20.15,2646,199,2,25,14,Female,No,Yes,Asian,0
36,23.35,2558,220,3,49,12,Female,Yes,No,Caucasian,419
37,62.413,6457,455,2,71,11,Female,No,Yes,Caucasian,762
38,30.007,6481,462,2,69,9,Female,No,Yes,Caucasian,1093
39,11.795,3899,300,4,25,10,Female,No,No,Caucasian,531
40,13.647,3461,264,4,47,14, Male,No,Yes,Caucasian,344
41,34.95,3327,253,3,54,14,Female,No,No,African American,50
42,113.659,7659,538,2,66,15, Male,Yes,Yes,African American,1155
43,44.158,4763,351,2,66,13,Female,No,Yes,Asian,385
44,36.929,6257,445,1,24,14,Female,No,Yes,Asian,976
45,31.861,6375,469,3,25,16,Female,No,Yes,Caucasian,1120
46,77.38,7569,564,3,50,12,Female,No,Yes,Caucasian,997
47,19.531,5043,376,2,64,16,Female,Yes,Yes,Asian,1241
48,44.646,4431,320,2,49,15, Male,Yes,Yes,Caucasian,797
49,44.522,2252,205,6,72,15, Male,No,Yes,Asian,0
50,43.479,4569,354,4,49,13, Male,Yes,Yes,African American,902
51,36.362,5183,376,3,49,15, Male,No,Yes,African American,654
52,39.705,3969,301,2,27,20, Male,No,Yes,African American,211
53,44.205,5441,394,1,32,12, Male,No,Yes,Caucasian,607
54,16.304,5466,413,4,66,10, Male,No,Yes,Asian,957
55,15.333,1499,138,2,47,9,Female,No,Yes,Asian,0
56,32.916,1786,154,2,60,8,Female,No,Yes,Asian,0
57,57.1,4742,372,7,79,18,Female,No,Yes,Asian,379
58,76.273,4779,367,4,65,14,Female,No,Yes,Caucasian,133
59,10.354,3480,281,2,70,17, Male,No,Yes,Caucasian,333
60,51.872,5294,390,4,81,17,Female,No,No,Caucasian,531
61,35.51,5198,364,2,35,20,Female,No,No,Asian,631
62,21.238,3089,254,3,59,10,Female,No,No,Caucasian,108
63,30.682,1671,160,2,77,7,Female,No,No,Caucasian,0
64,14.132,2998,251,4,75,17, Male,No,No,Caucasian,133
65,32.164,2937,223,2,79,15,Female,No,Yes,African American,0
66,12,4160,320,4,28,14,Female,No,Yes,Caucasian,602
67,113.829,9704,694,4,38,13,Female,No,Yes,Asian,1388
68,11.187,5099,380,4,69,16,Female,No,No,African American,889
69,27.847,5619,418,2,78,15,Female,No,Yes,Caucasian,822
70,49.502,6819,505,4,55,14, Male,No,Yes,Caucasian,1084
71,24.889,3954,318,4,75,12, Male,No,Yes,Caucasian,357
72,58.781,7402,538,2,81,12,Female,No,Yes,Asian,1103
73,22.939,4923,355,1,47,18,Female,No,Yes,Asian,663
74,23.989,4523,338,4,31,15, Male,No,No,Caucasian,601
75,16.103,5390,418,4,45,10,Female,No,Yes,Caucasian,945
76,33.017,3180,224,2,28,16, Male,No,Yes,African American,29
77,30.622,3293,251,1,68,16, Male,Yes,No,Caucasian,532
78,20.936,3254,253,1,30,15,Female,No,No,Asian,145
79,110.968,6662,468,3,45,11,Female,No,Yes,Caucasian,391
80,15.354,2101,171,2,65,14, Male,No,No,Asian,0
81,27.369,3449,288,3,40,9,Female,No,Yes,Caucasian,162
82,53.48,4263,317,1,83,15, Male,No,No,Caucasian,99
83,23.672,4433,344,3,63,11, Male,No,No,Caucasian,503
84,19.225,1433,122,3,38,14,Female,No,No,Caucasian,0
85,43.54,2906,232,4,69,11, Male,No,No,Caucasian,0
86,152.298,12066,828,4,41,12,Female,No,Yes,Asian,1779
87,55.367,6340,448,1,33,15, Male,No,Yes,Caucasian,815
88,11.741,2271,182,4,59,12,Female,No,No,Asian,0
89,15.56,4307,352,4,57,8, Male,No,Yes,African American,579
90,59.53,7518,543,3,52,9,Female,No,No,African American,1176
91,20.191,5767,431,4,42,16, Male,No,Yes,African American,1023
92,48.498,6040,456,3,47,16, Male,No,Yes,Caucasian,812
93,30.733,2832,249,4,51,13, Male,No,No,Caucasian,0
94,16.479,5435,388,2,26,16, Male,No,No,African American,937
95,38.009,3075,245,3,45,15,Female,No,No,African American,0
96,14.084,855,120,5,46,17,Female,No,Yes,African American,0
97,14.312,5382,367,1,59,17, Male,Yes,No,Asian,1380
98,26.067,3388,266,4,74,17,Female,No,Yes,African American,155
99,36.295,2963,241,2,68,14,Female,Yes,No,African American,375
100,83.851,8494,607,5,47,18, Male,No,No,Caucasian,1311
101,21.153,3736,256,1,41,11, Male,No,No,Caucasian,298
102,17.976,2433,190,3,70,16,Female,Yes,No,Caucasian,431
103,68.713,7582,531,2,56,16, Male,Yes,No,Caucasian,1587
104,146.183,9540,682,6,66,15, Male,No,No,Caucasian,1050
105,15.846,4768,365,4,53,12,Female,No,No,Caucasian,745
106,12.031,3182,259,2,58,18,Female,No,Yes,Caucasian,210
107,16.819,1337,115,2,74,15, Male,No,Yes,Asian,0
108,39.11,3189,263,3,72,12, Male,No,No,Asian,0
109,107.986,6033,449,4,64,14, Male,No,Yes,Caucasian,227
110,13.561,3261,279,5,37,19, Male,No,Yes,Asian,297
111,34.537,3271,250,3,57,17,Female,No,Yes,Asian,47
112,28.575,2959,231,2,60,11,Female,No,No,African American,0
113,46.007,6637,491,4,42,14, Male,No,Yes,Caucasian,1046
114,69.251,6386,474,4,30,12,Female,No,Yes,Asian,768
115,16.482,3326,268,4,41,15, Male,No,No,Caucasian,271
116,40.442,4828,369,5,81,8,Female,No,No,African American,510
117,35.177,2117,186,3,62,16,Female,No,No,Caucasian,0
118,91.362,9113,626,1,47,17, Male,No,Yes,Asian,1341
119,27.039,2161,173,3,40,17,Female,No,No,Caucasian,0
120,23.012,1410,137,3,81,16, Male,No,No,Caucasian,0
121,27.241,1402,128,2,67,15,Female,No,Yes,Asian,0
122,148.08,8157,599,2,83,13, Male,No,Yes,Caucasian,454
123,62.602,7056,481,1,84,11,Female,No,No,Caucasian,904
124,11.808,1300,117,3,77,14,Female,No,No,African American,0
125,29.564,2529,192,1,30,12,Female,No,Yes,Caucasian,0
126,27.578,2531,195,1,34,15,Female,No,Yes,Caucasian,0
127,26.427,5533,433,5,50,15,Female,Yes,Yes,Asian,1404
128,57.202,3411,259,3,72,11,Female,No,No,Caucasian,0
129,123.299,8376,610,2,89,17, Male,Yes,No,African American,1259
130,18.145,3461,279,3,56,15, Male,No,Yes,African American,255
131,23.793,3821,281,4,56,12,Female,Yes,Yes,African American,868
132,10.726,1568,162,5,46,19, Male,No,Yes,Asian,0
133,23.283,5443,407,4,49,13, Male,No,Yes,African American,912
134,21.455,5829,427,4,80,12,Female,No,Yes,African American,1018
135,34.664,5835,452,3,77,15,Female,No,Yes,African American,835
136,44.473,3500,257,3,81,16,Female,No,No,African American,8
137,54.663,4116,314,2,70,8,Female,No,No,African American,75
138,36.355,3613,278,4,35,9, Male,No,Yes,Asian,187
139,21.374,2073,175,2,74,11,Female,No,Yes,Caucasian,0
140,107.841,10384,728,3,87,7, Male,No,No,African American,1597
141,39.831,6045,459,3,32,12,Female,Yes,Yes,African American,1425
142,91.876,6754,483,2,33,10, Male,No,Yes,Caucasian,605
143,103.893,7416,549,3,84,17, Male,No,No,Asian,669
144,19.636,4896,387,3,64,10,Female,No,No,African American,710
145,17.392,2748,228,3,32,14, Male,No,Yes,Caucasian,68
146,19.529,4673,341,2,51,14, Male,No,No,Asian,642
147,17.055,5110,371,3,55,15,Female,No,Yes,Caucasian,805
148,23.857,1501,150,3,56,16, Male,No,Yes,Caucasian,0
149,15.184,2420,192,2,69,11,Female,No,Yes,Caucasian,0
150,13.444,886,121,5,44,10, Male,No,Yes,Asian,0
151,63.931,5728,435,3,28,14,Female,No,Yes,African American,581
152,35.864,4831,353,3,66,13,Female,No,Yes,Caucasian,534
153,41.419,2120,184,4,24,11,Female,Yes,No,Caucasian,156
154,92.112,4612,344,3,32,17, Male,No,No,Caucasian,0
155,55.056,3155,235,2,31,16, Male,No,Yes,African American,0
156,19.537,1362,143,4,34,9,Female,No,Yes,Asian,0
157,31.811,4284,338,5,75,13,Female,No,Yes,Caucasian,429
158,56.256,5521,406,2,72,16,Female,Yes,Yes,Caucasian,1020
159,42.357,5550,406,2,83,12,Female,No,Yes,Asian,653
160,53.319,3000,235,3,53,13, Male,No,No,Asian,0
161,12.238,4865,381,5,67,11,Female,No,No,Caucasian,836
162,31.353,1705,160,3,81,14, Male,No,Yes,Caucasian,0
163,63.809,7530,515,1,56,12, Male,No,Yes,Caucasian,1086
164,13.676,2330,203,5,80,16,Female,No,No,African American,0
165,76.782,5977,429,4,44,12, Male,No,Yes,Asian,548
166,25.383,4527,367,4,46,11, Male,No,Yes,Caucasian,570
167,35.691,2880,214,2,35,15, Male,No,No,African American,0
168,29.403,2327,178,1,37,14,Female,No,Yes,Caucasian,0
169,27.47,2820,219,1,32,11,Female,No,Yes,Asian,0
170,27.33,6179,459,4,36,12,Female,No,Yes,Caucasian,1099
171,34.772,2021,167,3,57,9, Male,No,No,Asian,0
172,36.934,4270,299,1,63,9,Female,No,Yes,Caucasian,283
173,76.348,4697,344,4,60,18, Male,No,No,Asian,108
174,14.887,4745,339,3,58,12, Male,No,Yes,African American,724
175,121.834,10673,750,3,54,16, Male,No,No,African American,1573
176,30.132,2168,206,3,52,17, Male,No,No,Caucasian,0
177,24.05,2607,221,4,32,18, Male,No,Yes,Caucasian,0
178,22.379,3965,292,2,34,14,Female,No,Yes,Asian,384
179,28.316,4391,316,2,29,10,Female,No,No,Caucasian,453
180,58.026,7499,560,5,67,11,Female,No,No,Caucasian,1237
181,10.635,3584,294,5,69,16, Male,No,Yes,Asian,423
182,46.102,5180,382,3,81,12, Male,No,Yes,African American,516
183,58.929,6420,459,2,66,9,Female,No,Yes,African American,789
184,80.861,4090,335,3,29,15,Female,No,Yes,Asian,0
185,158.889,11589,805,1,62,17,Female,No,Yes,Caucasian,1448
186,30.42,4442,316,1,30,14,Female,No,No,African American,450
187,36.472,3806,309,2,52,13, Male,No,No,African American,188
188,23.365,2179,167,2,75,15, Male,No,No,Asian,0
189,83.869,7667,554,2,83,11, Male,No,No,African American,930
190,58.351,4411,326,2,85,16,Female,No,Yes,Caucasian,126
191,55.187,5352,385,4,50,17,Female,No,Yes,Caucasian,538
192,124.29,9560,701,3,52,17,Female,Yes,No,Asian,1687
193,28.508,3933,287,4,56,14, Male,No,Yes,Asian,336
194,130.209,10088,730,7,39,19,Female,No,Yes,Caucasian,1426
195,30.406,2120,181,2,79,14, Male,No,Yes,African American,0
196,23.883,5384,398,2,73,16,Female,No,Yes,African American,802
197,93.039,7398,517,1,67,12, Male,No,Yes,African American,749
198,50.699,3977,304,2,84,17,Female,No,No,African American,69
199,27.349,2000,169,4,51,16,Female,No,Yes,African American,0
200,10.403,4159,310,3,43,7, Male,No,Yes,Asian,571
201,23.949,5343,383,2,40,18, Male,No,Yes,African American,829
202,73.914,7333,529,6,67,15,Female,No,Yes,Caucasian,1048
203,21.038,1448,145,2,58,13,Female,No,Yes,Caucasian,0
204,68.206,6784,499,5,40,16,Female,Yes,No,African American,1411
205,57.337,5310,392,2,45,7,Female,No,No,Caucasian,456
206,10.793,3878,321,8,29,13, Male,No,No,Caucasian,638
207,23.45,2450,180,2,78,13, Male,No,No,Caucasian,0
208,10.842,4391,358,5,37,10,Female,Yes,Yes,Caucasian,1216
209,51.345,4327,320,3,46,15, Male,No,No,African American,230
210,151.947,9156,642,2,91,11,Female,No,Yes,African American,732
211,24.543,3206,243,2,62,12,Female,No,Yes,Caucasian,95
212,29.567,5309,397,3,25,15, Male,No,No,Caucasian,799
213,39.145,4351,323,2,66,13, Male,No,Yes,Caucasian,308
214,39.422,5245,383,2,44,19, Male,No,No,African American,637
215,34.909,5289,410,2,62,16,Female,No,Yes,Caucasian,681
216,41.025,4229,337,3,79,19,Female,No,Yes,Caucasian,246
217,15.476,2762,215,3,60,18, Male,No,No,Asian,52
218,12.456,5395,392,3,65,14, Male,No,Yes,Caucasian,955
219,10.627,1647,149,2,71,10,Female,Yes,Yes,Asian,195
220,38.954,5222,370,4,76,13,Female,No,No,Caucasian,653
221,44.847,5765,437,3,53,13,Female,Yes,No,Asian,1246
222,98.515,8760,633,5,78,11,Female,No,No,African American,1230
223,33.437,6207,451,4,44,9, Male,Yes,No,Caucasian,1549
224,27.512,4613,344,5,72,17, Male,No,Yes,Asian,573
225,121.709,7818,584,4,50,6, Male,No,Yes,Caucasian,701
226,15.079,5673,411,4,28,15,Female,No,Yes,Asian,1075
227,59.879,6906,527,6,78,15,Female,No,No,Caucasian,1032
228,66.989,5614,430,3,47,14,Female,No,Yes,Caucasian,482
229,69.165,4668,341,2,34,11,Female,No,No,African American,156
230,69.943,7555,547,3,76,9, Male,No,Yes,Asian,1058
231,33.214,5137,387,3,59,9, Male,No,No,African American,661
232,25.124,4776,378,4,29,12, Male,No,Yes,Caucasian,657
233,15.741,4788,360,1,39,14, Male,No,Yes,Asian,689
234,11.603,2278,187,3,71,11, Male,No,Yes,Caucasian,0
235,69.656,8244,579,3,41,14, Male,No,Yes,African American,1329
236,10.503,2923,232,3,25,18,Female,No,Yes,African American,191
237,42.529,4986,369,2,37,11, Male,No,Yes,Asian,489
238,60.579,5149,388,5,38,15, Male,No,Yes,Asian,443
239,26.532,2910,236,6,58,19,Female,No,Yes,Caucasian,52
240,27.952,3557,263,1,35,13,Female,No,Yes,Asian,163
241,29.705,3351,262,5,71,14,Female,No,Yes,Asian,148
242,15.602,906,103,2,36,11, Male,No,Yes,African American,0
243,20.918,1233,128,3,47,18,Female,Yes,Yes,Asian,16
244,58.165,6617,460,1,56,12,Female,No,Yes,Caucasian,856
245,22.561,1787,147,4,66,15,Female,No,No,Caucasian,0
246,34.509,2001,189,5,80,18,Female,No,Yes,African American,0
247,19.588,3211,265,4,59,14,Female,No,No,Asian,199
248,36.364,2220,188,3,50,19, Male,No,No,Caucasian,0
249,15.717,905,93,1,38,16, Male,Yes,Yes,Caucasian,0
250,22.574,1551,134,3,43,13,Female,Yes,Yes,Caucasian,98
251,10.363,2430,191,2,47,18,Female,No,Yes,Asian,0
252,28.474,3202,267,5,66,12, Male,No,Yes,Caucasian,132
253,72.945,8603,621,3,64,8,Female,No,No,Caucasian,1355
254,85.425,5182,402,6,60,12, Male,No,Yes,African American,218
255,36.508,6386,469,4,79,6,Female,No,Yes,Caucasian,1048
256,58.063,4221,304,3,50,8, Male,No,No,African American,118
257,25.936,1774,135,2,71,14,Female,No,No,Asian,0
258,15.629,2493,186,1,60,14, Male,No,Yes,Asian,0
259,41.4,2561,215,2,36,14, Male,No,Yes,Caucasian,0
260,33.657,6196,450,6,55,9,Female,No,No,Caucasian,1092
261,67.937,5184,383,4,63,12, Male,No,Yes,Asian,345
262,180.379,9310,665,3,67,8,Female,Yes,Yes,Asian,1050
263,10.588,4049,296,1,66,13,Female,No,Yes,Caucasian,465
264,29.725,3536,270,2,52,15,Female,No,No,African American,133
265,27.999,5107,380,1,55,10, Male,No,Yes,Caucasian,651
266,40.885,5013,379,3,46,13,Female,No,Yes,African American,549
267,88.83,4952,360,4,86,16,Female,No,Yes,Caucasian,15
268,29.638,5833,433,3,29,15,Female,No,Yes,Asian,942
269,25.988,1349,142,4,82,12, Male,No,No,Caucasian,0
270,39.055,5565,410,4,48,18,Female,No,Yes,Caucasian,772
271,15.866,3085,217,1,39,13, Male,No,No,Caucasian,136
272,44.978,4866,347,1,30,10,Female,No,No,Caucasian,436
273,30.413,3690,299,2,25,15,Female,Yes,No,Asian,728
274,16.751,4706,353,6,48,14, Male,Yes,No,Asian,1255
275,30.55,5869,439,5,81,9,Female,No,No,African American,967
276,163.329,8732,636,3,50,14, Male,No,Yes,Caucasian,529
277,23.106,3476,257,2,50,15,Female,No,No,Caucasian,209
278,41.532,5000,353,2,50,12, Male,No,Yes,Caucasian,531
279,128.04,6982,518,2,78,11,Female,No,Yes,Caucasian,250
280,54.319,3063,248,3,59,8,Female,Yes,No,Caucasian,269
281,53.401,5319,377,3,35,12,Female,No,No,African American,541
282,36.142,1852,183,3,33,13,Female,No,No,African American,0
283,63.534,8100,581,2,50,17,Female,No,Yes,Caucasian,1298
284,49.927,6396,485,3,75,17,Female,No,Yes,Caucasian,890
285,14.711,2047,167,2,67,6, Male,No,Yes,Caucasian,0
286,18.967,1626,156,2,41,11,Female,No,Yes,Asian,0
287,18.036,1552,142,2,48,15,Female,No,No,Caucasian,0
288,60.449,3098,272,4,69,8, Male,No,Yes,Caucasian,0
289,16.711,5274,387,3,42,16,Female,No,Yes,Asian,863
290,10.852,3907,296,2,30,9, Male,No,No,Caucasian,485
291,26.37,3235,268,5,78,11, Male,No,Yes,Asian,159
292,24.088,3665,287,4,56,13,Female,No,Yes,Caucasian,309
293,51.532,5096,380,2,31,15, Male,No,Yes,Caucasian,481
294,140.672,11200,817,7,46,9, Male,No,Yes,African American,1677
295,42.915,2532,205,4,42,13, Male,No,Yes,Asian,0
296,27.272,1389,149,5,67,10,Female,No,Yes,Caucasian,0
297,65.896,5140,370,1,49,17,Female,No,Yes,Caucasian,293
298,55.054,4381,321,3,74,17, Male,No,Yes,Asian,188
299,20.791,2672,204,1,70,18,Female,No,No,African American,0
300,24.919,5051,372,3,76,11,Female,No,Yes,African American,711
301,21.786,4632,355,1,50,17, Male,No,Yes,Caucasian,580
302,31.335,3526,289,3,38,7,Female,No,No,Caucasian,172
303,59.855,4964,365,1,46,13,Female,No,Yes,Caucasian,295
304,44.061,4970,352,1,79,11, Male,No,Yes,African American,414
305,82.706,7506,536,2,64,13,Female,No,Yes,Asian,905
306,24.46,1924,165,2,50,14,Female,No,Yes,Asian,0
307,45.12,3762,287,3,80,8, Male,No,Yes,Caucasian,70
308,75.406,3874,298,3,41,14,Female,No,Yes,Asian,0
309,14.956,4640,332,2,33,6, Male,No,No,Asian,681
310,75.257,7010,494,3,34,18,Female,No,Yes,Caucasian,885
311,33.694,4891,369,1,52,16, Male,Yes,No,African American,1036
312,23.375,5429,396,3,57,15,Female,No,Yes,Caucasian,844
313,27.825,5227,386,6,63,11, Male,No,Yes,Caucasian,823
314,92.386,7685,534,2,75,18,Female,No,Yes,Asian,843
315,115.52,9272,656,2,69,14, Male,No,No,African American,1140
316,14.479,3907,296,3,43,16, Male,No,Yes,Caucasian,463
317,52.179,7306,522,2,57,14, Male,No,No,Asian,1142
318,68.462,4712,340,2,71,16, Male,No,Yes,Caucasian,136
319,18.951,1485,129,3,82,13,Female,No,No,Caucasian,0
320,27.59,2586,229,5,54,16, Male,No,Yes,African American,0
321,16.279,1160,126,3,78,13, Male,Yes,Yes,African American,5
322,25.078,3096,236,2,27,15,Female,No,Yes,Caucasian,81
323,27.229,3484,282,6,51,11, Male,No,No,Caucasian,265
324,182.728,13913,982,4,98,17, Male,No,Yes,Caucasian,1999
325,31.029,2863,223,2,66,17, Male,Yes,Yes,Asian,415
326,17.765,5072,364,1,66,12,Female,No,Yes,Caucasian,732
327,125.48,10230,721,3,82,16, Male,No,Yes,Caucasian,1361
328,49.166,6662,508,3,68,14,Female,No,No,Asian,984
329,41.192,3673,297,3,54,16,Female,No,Yes,Caucasian,121
330,94.193,7576,527,2,44,16,Female,No,Yes,Caucasian,846
331,20.405,4543,329,2,72,17, Male,Yes,No,Asian,1054
332,12.581,3976,291,2,48,16, Male,No,Yes,Caucasian,474
333,62.328,5228,377,3,83,15, Male,No,No,Caucasian,380
334,21.011,3402,261,2,68,17, Male,No,Yes,African American,182
335,24.23,4756,351,2,64,15,Female,No,Yes,Caucasian,594
336,24.314,3409,270,2,23,7,Female,No,Yes,Caucasian,194
337,32.856,5884,438,4,68,13, Male,No,No,Caucasian,926
338,12.414,855,119,3,32,12, Male,No,Yes,African American,0
339,41.365,5303,377,1,45,14, Male,No,No,Caucasian,606
340,149.316,10278,707,1,80,16, Male,No,No,African American,1107
341,27.794,3807,301,4,35,8,Female,No,Yes,African American,320
342,13.234,3922,299,2,77,17,Female,No,Yes,Caucasian,426
343,14.595,2955,260,5,37,9, Male,No,Yes,African American,204
344,10.735,3746,280,2,44,17,Female,No,Yes,Caucasian,410
345,48.218,5199,401,7,39,10, Male,No,Yes,Asian,633
346,30.012,1511,137,2,33,17, Male,No,Yes,Caucasian,0
347,21.551,5380,420,5,51,18, Male,No,Yes,Asian,907
348,160.231,10748,754,2,69,17, Male,No,No,Caucasian,1192
349,13.433,1134,112,3,70,14, Male,No,Yes,Caucasian,0
350,48.577,5145,389,3,71,13,Female,No,Yes,Asian,503
351,30.002,1561,155,4,70,13,Female,No,Yes,Caucasian,0
352,61.62,5140,374,1,71,9, Male,No,Yes,Caucasian,302
353,104.483,7140,507,2,41,14, Male,No,Yes,African American,583
354,41.868,4716,342,2,47,18, Male,No,No,Caucasian,425
355,12.068,3873,292,1,44,18,Female,No,Yes,Asian,413
356,180.682,11966,832,2,58,8,Female,No,Yes,African American,1405
357,34.48,6090,442,3,36,14, Male,No,No,Caucasian,962
358,39.609,2539,188,1,40,14, Male,No,Yes,Asian,0
359,30.111,4336,339,1,81,18, Male,No,Yes,Caucasian,347
360,12.335,4471,344,3,79,12, Male,No,Yes,African American,611
361,53.566,5891,434,4,82,10,Female,No,No,Caucasian,712
362,53.217,4943,362,2,46,16,Female,No,Yes,Asian,382
363,26.162,5101,382,3,62,19,Female,No,No,African American,710
364,64.173,6127,433,1,80,10, Male,No,Yes,Caucasian,578
365,128.669,9824,685,3,67,16, Male,No,Yes,Asian,1243
366,113.772,6442,489,4,69,15, Male,Yes,Yes,Caucasian,790
367,61.069,7871,564,3,56,14, Male,No,Yes,Caucasian,1264
368,23.793,3615,263,2,70,14, Male,No,No,African American,216
369,89,5759,440,3,37,6,Female,No,No,Caucasian,345
370,71.682,8028,599,3,57,16, Male,No,Yes,Caucasian,1208
371,35.61,6135,466,4,40,12, Male,No,No,Caucasian,992
372,39.116,2150,173,4,75,15, Male,No,No,Caucasian,0
373,19.782,3782,293,2,46,16,Female,Yes,No,Caucasian,840
374,55.412,5354,383,2,37,16,Female,Yes,Yes,Caucasian,1003
375,29.4,4840,368,3,76,18,Female,No,Yes,Caucasian,588
376,20.974,5673,413,5,44,16,Female,No,Yes,Caucasian,1000
377,87.625,7167,515,2,46,10,Female,No,No,African American,767
378,28.144,1567,142,3,51,10, Male,No,Yes,Caucasian,0
379,19.349,4941,366,1,33,19, Male,No,Yes,Caucasian,717
380,53.308,2860,214,1,84,10, Male,No,Yes,Caucasian,0
381,115.123,7760,538,3,83,14,Female,No,No,African American,661
382,101.788,8029,574,2,84,11, Male,No,Yes,Caucasian,849
383,24.824,5495,409,1,33,9, Male,Yes,No,Caucasian,1352
384,14.292,3274,282,9,64,9, Male,No,Yes,Caucasian,382
385,20.088,1870,180,3,76,16, Male,No,No,African American,0
386,26.4,5640,398,3,58,15,Female,No,No,Asian,905
387,19.253,3683,287,4,57,10, Male,No,No,African American,371
388,16.529,1357,126,3,62,9, Male,No,No,Asian,0
389,37.878,6827,482,2,80,13,Female,No,No,Caucasian,1129
390,83.948,7100,503,2,44,18, Male,No,No,Caucasian,806
391,135.118,10578,747,3,81,15,Female,No,Yes,Asian,1393
392,73.327,6555,472,2,43,15,Female,No,No,Caucasian,721
393,25.974,2308,196,2,24,10, Male,No,No,Asian,0
394,17.316,1335,138,2,65,13, Male,No,No,African American,0
395,49.794,5758,410,4,40,8, Male,No,No,Caucasian,734
396,12.096,4100,307,3,32,13, Male,No,Yes,Caucasian,560
397,13.364,3838,296,5,65,17, Male,No,No,African American,480
398,57.872,4171,321,5,67,12,Female,No,Yes,Caucasian,138
399,37.728,2525,192,1,44,13, Male,No,Yes,Caucasian,0
400,18.701,5524,415,5,64,7,Female,No,No,Asian,966
1 Income Limit Rating Cards Age Education Gender Student Married Ethnicity Balance
2 1 14.891 3606 283 2 34 11 Male No Yes Caucasian 333
3 2 106.025 6645 483 3 82 15 Female Yes Yes Asian 903
4 3 104.593 7075 514 4 71 11 Male No No Asian 580
5 4 148.924 9504 681 3 36 11 Female No No Asian 964
6 5 55.882 4897 357 2 68 16 Male No Yes Caucasian 331
7 6 80.18 8047 569 4 77 10 Male No No Caucasian 1151
8 7 20.996 3388 259 2 37 12 Female No No African American 203
9 8 71.408 7114 512 2 87 9 Male No No Asian 872
10 9 15.125 3300 266 5 66 13 Female No No Caucasian 279
11 10 71.061 6819 491 3 41 19 Female Yes Yes African American 1350
12 11 63.095 8117 589 4 30 14 Male No Yes Caucasian 1407
13 12 15.045 1311 138 3 64 16 Male No No Caucasian 0
14 13 80.616 5308 394 1 57 7 Female No Yes Asian 204
15 14 43.682 6922 511 1 49 9 Male No Yes Caucasian 1081
16 15 19.144 3291 269 2 75 13 Female No No African American 148
17 16 20.089 2525 200 3 57 15 Female No Yes African American 0
18 17 53.598 3714 286 3 73 17 Female No Yes African American 0
19 18 36.496 4378 339 3 69 15 Female No Yes Asian 368
20 19 49.57 6384 448 1 28 9 Female No Yes Asian 891
21 20 42.079 6626 479 2 44 9 Male No No Asian 1048
22 21 17.7 2860 235 4 63 16 Female No No Asian 89
23 22 37.348 6378 458 1 72 17 Female No No Caucasian 968
24 23 20.103 2631 213 3 61 10 Male No Yes African American 0
25 24 64.027 5179 398 5 48 8 Male No Yes African American 411
26 25 10.742 1757 156 3 57 15 Female No No Caucasian 0
27 26 14.09 4323 326 5 25 16 Female No Yes African American 671
28 27 42.471 3625 289 6 44 12 Female Yes No Caucasian 654
29 28 32.793 4534 333 2 44 16 Male No No African American 467
30 29 186.634 13414 949 2 41 14 Female No Yes African American 1809
31 30 26.813 5611 411 4 55 16 Female No No Caucasian 915
32 31 34.142 5666 413 4 47 5 Female No Yes Caucasian 863
33 32 28.941 2733 210 5 43 16 Male No Yes Asian 0
34 33 134.181 7838 563 2 48 13 Female No No Caucasian 526
35 34 31.367 1829 162 4 30 10 Male No Yes Caucasian 0
36 35 20.15 2646 199 2 25 14 Female No Yes Asian 0
37 36 23.35 2558 220 3 49 12 Female Yes No Caucasian 419
38 37 62.413 6457 455 2 71 11 Female No Yes Caucasian 762
39 38 30.007 6481 462 2 69 9 Female No Yes Caucasian 1093
40 39 11.795 3899 300 4 25 10 Female No No Caucasian 531
41 40 13.647 3461 264 4 47 14 Male No Yes Caucasian 344
42 41 34.95 3327 253 3 54 14 Female No No African American 50
43 42 113.659 7659 538 2 66 15 Male Yes Yes African American 1155
44 43 44.158 4763 351 2 66 13 Female No Yes Asian 385
45 44 36.929 6257 445 1 24 14 Female No Yes Asian 976
46 45 31.861 6375 469 3 25 16 Female No Yes Caucasian 1120
47 46 77.38 7569 564 3 50 12 Female No Yes Caucasian 997
48 47 19.531 5043 376 2 64 16 Female Yes Yes Asian 1241
49 48 44.646 4431 320 2 49 15 Male Yes Yes Caucasian 797
50 49 44.522 2252 205 6 72 15 Male No Yes Asian 0
51 50 43.479 4569 354 4 49 13 Male Yes Yes African American 902
52 51 36.362 5183 376 3 49 15 Male No Yes African American 654
53 52 39.705 3969 301 2 27 20 Male No Yes African American 211
54 53 44.205 5441 394 1 32 12 Male No Yes Caucasian 607
55 54 16.304 5466 413 4 66 10 Male No Yes Asian 957
56 55 15.333 1499 138 2 47 9 Female No Yes Asian 0
57 56 32.916 1786 154 2 60 8 Female No Yes Asian 0
58 57 57.1 4742 372 7 79 18 Female No Yes Asian 379
59 58 76.273 4779 367 4 65 14 Female No Yes Caucasian 133
60 59 10.354 3480 281 2 70 17 Male No Yes Caucasian 333
61 60 51.872 5294 390 4 81 17 Female No No Caucasian 531
62 61 35.51 5198 364 2 35 20 Female No No Asian 631
63 62 21.238 3089 254 3 59 10 Female No No Caucasian 108
64 63 30.682 1671 160 2 77 7 Female No No Caucasian 0
65 64 14.132 2998 251 4 75 17 Male No No Caucasian 133
66 65 32.164 2937 223 2 79 15 Female No Yes African American 0
67 66 12 4160 320 4 28 14 Female No Yes Caucasian 602
68 67 113.829 9704 694 4 38 13 Female No Yes Asian 1388
69 68 11.187 5099 380 4 69 16 Female No No African American 889
70 69 27.847 5619 418 2 78 15 Female No Yes Caucasian 822
71 70 49.502 6819 505 4 55 14 Male No Yes Caucasian 1084
72 71 24.889 3954 318 4 75 12 Male No Yes Caucasian 357
73 72 58.781 7402 538 2 81 12 Female No Yes Asian 1103
74 73 22.939 4923 355 1 47 18 Female No Yes Asian 663
75 74 23.989 4523 338 4 31 15 Male No No Caucasian 601
76 75 16.103 5390 418 4 45 10 Female No Yes Caucasian 945
77 76 33.017 3180 224 2 28 16 Male No Yes African American 29
78 77 30.622 3293 251 1 68 16 Male Yes No Caucasian 532
79 78 20.936 3254 253 1 30 15 Female No No Asian 145
80 79 110.968 6662 468 3 45 11 Female No Yes Caucasian 391
81 80 15.354 2101 171 2 65 14 Male No No Asian 0
82 81 27.369 3449 288 3 40 9 Female No Yes Caucasian 162
83 82 53.48 4263 317 1 83 15 Male No No Caucasian 99
84 83 23.672 4433 344 3 63 11 Male No No Caucasian 503
85 84 19.225 1433 122 3 38 14 Female No No Caucasian 0
86 85 43.54 2906 232 4 69 11 Male No No Caucasian 0
87 86 152.298 12066 828 4 41 12 Female No Yes Asian 1779
88 87 55.367 6340 448 1 33 15 Male No Yes Caucasian 815
89 88 11.741 2271 182 4 59 12 Female No No Asian 0
90 89 15.56 4307 352 4 57 8 Male No Yes African American 579
91 90 59.53 7518 543 3 52 9 Female No No African American 1176
92 91 20.191 5767 431 4 42 16 Male No Yes African American 1023
93 92 48.498 6040 456 3 47 16 Male No Yes Caucasian 812
94 93 30.733 2832 249 4 51 13 Male No No Caucasian 0
95 94 16.479 5435 388 2 26 16 Male No No African American 937
96 95 38.009 3075 245 3 45 15 Female No No African American 0
97 96 14.084 855 120 5 46 17 Female No Yes African American 0
98 97 14.312 5382 367 1 59 17 Male Yes No Asian 1380
99 98 26.067 3388 266 4 74 17 Female No Yes African American 155
100 99 36.295 2963 241 2 68 14 Female Yes No African American 375
101 100 83.851 8494 607 5 47 18 Male No No Caucasian 1311
102 101 21.153 3736 256 1 41 11 Male No No Caucasian 298
103 102 17.976 2433 190 3 70 16 Female Yes No Caucasian 431
104 103 68.713 7582 531 2 56 16 Male Yes No Caucasian 1587
105 104 146.183 9540 682 6 66 15 Male No No Caucasian 1050
106 105 15.846 4768 365 4 53 12 Female No No Caucasian 745
107 106 12.031 3182 259 2 58 18 Female No Yes Caucasian 210
108 107 16.819 1337 115 2 74 15 Male No Yes Asian 0
109 108 39.11 3189 263 3 72 12 Male No No Asian 0
110 109 107.986 6033 449 4 64 14 Male No Yes Caucasian 227
111 110 13.561 3261 279 5 37 19 Male No Yes Asian 297
112 111 34.537 3271 250 3 57 17 Female No Yes Asian 47
113 112 28.575 2959 231 2 60 11 Female No No African American 0
114 113 46.007 6637 491 4 42 14 Male No Yes Caucasian 1046
115 114 69.251 6386 474 4 30 12 Female No Yes Asian 768
116 115 16.482 3326 268 4 41 15 Male No No Caucasian 271
117 116 40.442 4828 369 5 81 8 Female No No African American 510
118 117 35.177 2117 186 3 62 16 Female No No Caucasian 0
119 118 91.362 9113 626 1 47 17 Male No Yes Asian 1341
120 119 27.039 2161 173 3 40 17 Female No No Caucasian 0
121 120 23.012 1410 137 3 81 16 Male No No Caucasian 0
122 121 27.241 1402 128 2 67 15 Female No Yes Asian 0
123 122 148.08 8157 599 2 83 13 Male No Yes Caucasian 454
124 123 62.602 7056 481 1 84 11 Female No No Caucasian 904
125 124 11.808 1300 117 3 77 14 Female No No African American 0
126 125 29.564 2529 192 1 30 12 Female No Yes Caucasian 0
127 126 27.578 2531 195 1 34 15 Female No Yes Caucasian 0
128 127 26.427 5533 433 5 50 15 Female Yes Yes Asian 1404
129 128 57.202 3411 259 3 72 11 Female No No Caucasian 0
130 129 123.299 8376 610 2 89 17 Male Yes No African American 1259
131 130 18.145 3461 279 3 56 15 Male No Yes African American 255
132 131 23.793 3821 281 4 56 12 Female Yes Yes African American 868
133 132 10.726 1568 162 5 46 19 Male No Yes Asian 0
134 133 23.283 5443 407 4 49 13 Male No Yes African American 912
135 134 21.455 5829 427 4 80 12 Female No Yes African American 1018
136 135 34.664 5835 452 3 77 15 Female No Yes African American 835
137 136 44.473 3500 257 3 81 16 Female No No African American 8
138 137 54.663 4116 314 2 70 8 Female No No African American 75
139 138 36.355 3613 278 4 35 9 Male No Yes Asian 187
140 139 21.374 2073 175 2 74 11 Female No Yes Caucasian 0
141 140 107.841 10384 728 3 87 7 Male No No African American 1597
142 141 39.831 6045 459 3 32 12 Female Yes Yes African American 1425
143 142 91.876 6754 483 2 33 10 Male No Yes Caucasian 605
144 143 103.893 7416 549 3 84 17 Male No No Asian 669
145 144 19.636 4896 387 3 64 10 Female No No African American 710
146 145 17.392 2748 228 3 32 14 Male No Yes Caucasian 68
147 146 19.529 4673 341 2 51 14 Male No No Asian 642
148 147 17.055 5110 371 3 55 15 Female No Yes Caucasian 805
149 148 23.857 1501 150 3 56 16 Male No Yes Caucasian 0
150 149 15.184 2420 192 2 69 11 Female No Yes Caucasian 0
151 150 13.444 886 121 5 44 10 Male No Yes Asian 0
152 151 63.931 5728 435 3 28 14 Female No Yes African American 581
153 152 35.864 4831 353 3 66 13 Female No Yes Caucasian 534
154 153 41.419 2120 184 4 24 11 Female Yes No Caucasian 156
155 154 92.112 4612 344 3 32 17 Male No No Caucasian 0
156 155 55.056 3155 235 2 31 16 Male No Yes African American 0
157 156 19.537 1362 143 4 34 9 Female No Yes Asian 0
158 157 31.811 4284 338 5 75 13 Female No Yes Caucasian 429
159 158 56.256 5521 406 2 72 16 Female Yes Yes Caucasian 1020
160 159 42.357 5550 406 2 83 12 Female No Yes Asian 653
161 160 53.319 3000 235 3 53 13 Male No No Asian 0
162 161 12.238 4865 381 5 67 11 Female No No Caucasian 836
163 162 31.353 1705 160 3 81 14 Male No Yes Caucasian 0
164 163 63.809 7530 515 1 56 12 Male No Yes Caucasian 1086
165 164 13.676 2330 203 5 80 16 Female No No African American 0
166 165 76.782 5977 429 4 44 12 Male No Yes Asian 548
167 166 25.383 4527 367 4 46 11 Male No Yes Caucasian 570
168 167 35.691 2880 214 2 35 15 Male No No African American 0
169 168 29.403 2327 178 1 37 14 Female No Yes Caucasian 0
170 169 27.47 2820 219 1 32 11 Female No Yes Asian 0
171 170 27.33 6179 459 4 36 12 Female No Yes Caucasian 1099
172 171 34.772 2021 167 3 57 9 Male No No Asian 0
173 172 36.934 4270 299 1 63 9 Female No Yes Caucasian 283
174 173 76.348 4697 344 4 60 18 Male No No Asian 108
175 174 14.887 4745 339 3 58 12 Male No Yes African American 724
176 175 121.834 10673 750 3 54 16 Male No No African American 1573
177 176 30.132 2168 206 3 52 17 Male No No Caucasian 0
178 177 24.05 2607 221 4 32 18 Male No Yes Caucasian 0
179 178 22.379 3965 292 2 34 14 Female No Yes Asian 384
180 179 28.316 4391 316 2 29 10 Female No No Caucasian 453
181 180 58.026 7499 560 5 67 11 Female No No Caucasian 1237
182 181 10.635 3584 294 5 69 16 Male No Yes Asian 423
183 182 46.102 5180 382 3 81 12 Male No Yes African American 516
184 183 58.929 6420 459 2 66 9 Female No Yes African American 789
185 184 80.861 4090 335 3 29 15 Female No Yes Asian 0
186 185 158.889 11589 805 1 62 17 Female No Yes Caucasian 1448
187 186 30.42 4442 316 1 30 14 Female No No African American 450
188 187 36.472 3806 309 2 52 13 Male No No African American 188
189 188 23.365 2179 167 2 75 15 Male No No Asian 0
190 189 83.869 7667 554 2 83 11 Male No No African American 930
191 190 58.351 4411 326 2 85 16 Female No Yes Caucasian 126
192 191 55.187 5352 385 4 50 17 Female No Yes Caucasian 538
193 192 124.29 9560 701 3 52 17 Female Yes No Asian 1687
194 193 28.508 3933 287 4 56 14 Male No Yes Asian 336
195 194 130.209 10088 730 7 39 19 Female No Yes Caucasian 1426
196 195 30.406 2120 181 2 79 14 Male No Yes African American 0
197 196 23.883 5384 398 2 73 16 Female No Yes African American 802
198 197 93.039 7398 517 1 67 12 Male No Yes African American 749
199 198 50.699 3977 304 2 84 17 Female No No African American 69
200 199 27.349 2000 169 4 51 16 Female No Yes African American 0
201 200 10.403 4159 310 3 43 7 Male No Yes Asian 571
202 201 23.949 5343 383 2 40 18 Male No Yes African American 829
203 202 73.914 7333 529 6 67 15 Female No Yes Caucasian 1048
204 203 21.038 1448 145 2 58 13 Female No Yes Caucasian 0
205 204 68.206 6784 499 5 40 16 Female Yes No African American 1411
206 205 57.337 5310 392 2 45 7 Female No No Caucasian 456
207 206 10.793 3878 321 8 29 13 Male No No Caucasian 638
208 207 23.45 2450 180 2 78 13 Male No No Caucasian 0
209 208 10.842 4391 358 5 37 10 Female Yes Yes Caucasian 1216
210 209 51.345 4327 320 3 46 15 Male No No African American 230
211 210 151.947 9156 642 2 91 11 Female No Yes African American 732
212 211 24.543 3206 243 2 62 12 Female No Yes Caucasian 95
213 212 29.567 5309 397 3 25 15 Male No No Caucasian 799
214 213 39.145 4351 323 2 66 13 Male No Yes Caucasian 308
215 214 39.422 5245 383 2 44 19 Male No No African American 637
216 215 34.909 5289 410 2 62 16 Female No Yes Caucasian 681
217 216 41.025 4229 337 3 79 19 Female No Yes Caucasian 246
218 217 15.476 2762 215 3 60 18 Male No No Asian 52
219 218 12.456 5395 392 3 65 14 Male No Yes Caucasian 955
220 219 10.627 1647 149 2 71 10 Female Yes Yes Asian 195
221 220 38.954 5222 370 4 76 13 Female No No Caucasian 653
222 221 44.847 5765 437 3 53 13 Female Yes No Asian 1246
223 222 98.515 8760 633 5 78 11 Female No No African American 1230
224 223 33.437 6207 451 4 44 9 Male Yes No Caucasian 1549
225 224 27.512 4613 344 5 72 17 Male No Yes Asian 573
226 225 121.709 7818 584 4 50 6 Male No Yes Caucasian 701
227 226 15.079 5673 411 4 28 15 Female No Yes Asian 1075
228 227 59.879 6906 527 6 78 15 Female No No Caucasian 1032
229 228 66.989 5614 430 3 47 14 Female No Yes Caucasian 482
230 229 69.165 4668 341 2 34 11 Female No No African American 156
231 230 69.943 7555 547 3 76 9 Male No Yes Asian 1058
232 231 33.214 5137 387 3 59 9 Male No No African American 661
233 232 25.124 4776 378 4 29 12 Male No Yes Caucasian 657
234 233 15.741 4788 360 1 39 14 Male No Yes Asian 689
235 234 11.603 2278 187 3 71 11 Male No Yes Caucasian 0
236 235 69.656 8244 579 3 41 14 Male No Yes African American 1329
237 236 10.503 2923 232 3 25 18 Female No Yes African American 191
238 237 42.529 4986 369 2 37 11 Male No Yes Asian 489
239 238 60.579 5149 388 5 38 15 Male No Yes Asian 443
240 239 26.532 2910 236 6 58 19 Female No Yes Caucasian 52
241 240 27.952 3557 263 1 35 13 Female No Yes Asian 163
242 241 29.705 3351 262 5 71 14 Female No Yes Asian 148
243 242 15.602 906 103 2 36 11 Male No Yes African American 0
244 243 20.918 1233 128 3 47 18 Female Yes Yes Asian 16
245 244 58.165 6617 460 1 56 12 Female No Yes Caucasian 856
246 245 22.561 1787 147 4 66 15 Female No No Caucasian 0
247 246 34.509 2001 189 5 80 18 Female No Yes African American 0
248 247 19.588 3211 265 4 59 14 Female No No Asian 199
249 248 36.364 2220 188 3 50 19 Male No No Caucasian 0
250 249 15.717 905 93 1 38 16 Male Yes Yes Caucasian 0
251 250 22.574 1551 134 3 43 13 Female Yes Yes Caucasian 98
252 251 10.363 2430 191 2 47 18 Female No Yes Asian 0
253 252 28.474 3202 267 5 66 12 Male No Yes Caucasian 132
254 253 72.945 8603 621 3 64 8 Female No No Caucasian 1355
255 254 85.425 5182 402 6 60 12 Male No Yes African American 218
256 255 36.508 6386 469 4 79 6 Female No Yes Caucasian 1048
257 256 58.063 4221 304 3 50 8 Male No No African American 118
258 257 25.936 1774 135 2 71 14 Female No No Asian 0
259 258 15.629 2493 186 1 60 14 Male No Yes Asian 0
260 259 41.4 2561 215 2 36 14 Male No Yes Caucasian 0
261 260 33.657 6196 450 6 55 9 Female No No Caucasian 1092
262 261 67.937 5184 383 4 63 12 Male No Yes Asian 345
263 262 180.379 9310 665 3 67 8 Female Yes Yes Asian 1050
264 263 10.588 4049 296 1 66 13 Female No Yes Caucasian 465
265 264 29.725 3536 270 2 52 15 Female No No African American 133
266 265 27.999 5107 380 1 55 10 Male No Yes Caucasian 651
267 266 40.885 5013 379 3 46 13 Female No Yes African American 549
268 267 88.83 4952 360 4 86 16 Female No Yes Caucasian 15
269 268 29.638 5833 433 3 29 15 Female No Yes Asian 942
270 269 25.988 1349 142 4 82 12 Male No No Caucasian 0
271 270 39.055 5565 410 4 48 18 Female No Yes Caucasian 772
272 271 15.866 3085 217 1 39 13 Male No No Caucasian 136
273 272 44.978 4866 347 1 30 10 Female No No Caucasian 436
274 273 30.413 3690 299 2 25 15 Female Yes No Asian 728
275 274 16.751 4706 353 6 48 14 Male Yes No Asian 1255
276 275 30.55 5869 439 5 81 9 Female No No African American 967
277 276 163.329 8732 636 3 50 14 Male No Yes Caucasian 529
278 277 23.106 3476 257 2 50 15 Female No No Caucasian 209
279 278 41.532 5000 353 2 50 12 Male No Yes Caucasian 531
280 279 128.04 6982 518 2 78 11 Female No Yes Caucasian 250
281 280 54.319 3063 248 3 59 8 Female Yes No Caucasian 269
282 281 53.401 5319 377 3 35 12 Female No No African American 541
283 282 36.142 1852 183 3 33 13 Female No No African American 0
284 283 63.534 8100 581 2 50 17 Female No Yes Caucasian 1298
285 284 49.927 6396 485 3 75 17 Female No Yes Caucasian 890
286 285 14.711 2047 167 2 67 6 Male No Yes Caucasian 0
287 286 18.967 1626 156 2 41 11 Female No Yes Asian 0
288 287 18.036 1552 142 2 48 15 Female No No Caucasian 0
289 288 60.449 3098 272 4 69 8 Male No Yes Caucasian 0
290 289 16.711 5274 387 3 42 16 Female No Yes Asian 863
291 290 10.852 3907 296 2 30 9 Male No No Caucasian 485
292 291 26.37 3235 268 5 78 11 Male No Yes Asian 159
293 292 24.088 3665 287 4 56 13 Female No Yes Caucasian 309
294 293 51.532 5096 380 2 31 15 Male No Yes Caucasian 481
295 294 140.672 11200 817 7 46 9 Male No Yes African American 1677
296 295 42.915 2532 205 4 42 13 Male No Yes Asian 0
297 296 27.272 1389 149 5 67 10 Female No Yes Caucasian 0
298 297 65.896 5140 370 1 49 17 Female No Yes Caucasian 293
299 298 55.054 4381 321 3 74 17 Male No Yes Asian 188
300 299 20.791 2672 204 1 70 18 Female No No African American 0
301 300 24.919 5051 372 3 76 11 Female No Yes African American 711
302 301 21.786 4632 355 1 50 17 Male No Yes Caucasian 580
303 302 31.335 3526 289 3 38 7 Female No No Caucasian 172
304 303 59.855 4964 365 1 46 13 Female No Yes Caucasian 295
305 304 44.061 4970 352 1 79 11 Male No Yes African American 414
306 305 82.706 7506 536 2 64 13 Female No Yes Asian 905
307 306 24.46 1924 165 2 50 14 Female No Yes Asian 0
308 307 45.12 3762 287 3 80 8 Male No Yes Caucasian 70
309 308 75.406 3874 298 3 41 14 Female No Yes Asian 0
310 309 14.956 4640 332 2 33 6 Male No No Asian 681
311 310 75.257 7010 494 3 34 18 Female No Yes Caucasian 885
312 311 33.694 4891 369 1 52 16 Male Yes No African American 1036
313 312 23.375 5429 396 3 57 15 Female No Yes Caucasian 844
314 313 27.825 5227 386 6 63 11 Male No Yes Caucasian 823
315 314 92.386 7685 534 2 75 18 Female No Yes Asian 843
316 315 115.52 9272 656 2 69 14 Male No No African American 1140
317 316 14.479 3907 296 3 43 16 Male No Yes Caucasian 463
318 317 52.179 7306 522 2 57 14 Male No No Asian 1142
319 318 68.462 4712 340 2 71 16 Male No Yes Caucasian 136
320 319 18.951 1485 129 3 82 13 Female No No Caucasian 0
321 320 27.59 2586 229 5 54 16 Male No Yes African American 0
322 321 16.279 1160 126 3 78 13 Male Yes Yes African American 5
323 322 25.078 3096 236 2 27 15 Female No Yes Caucasian 81
324 323 27.229 3484 282 6 51 11 Male No No Caucasian 265
325 324 182.728 13913 982 4 98 17 Male No Yes Caucasian 1999
326 325 31.029 2863 223 2 66 17 Male Yes Yes Asian 415
327 326 17.765 5072 364 1 66 12 Female No Yes Caucasian 732
328 327 125.48 10230 721 3 82 16 Male No Yes Caucasian 1361
329 328 49.166 6662 508 3 68 14 Female No No Asian 984
330 329 41.192 3673 297 3 54 16 Female No Yes Caucasian 121
331 330 94.193 7576 527 2 44 16 Female No Yes Caucasian 846
332 331 20.405 4543 329 2 72 17 Male Yes No Asian 1054
333 332 12.581 3976 291 2 48 16 Male No Yes Caucasian 474
334 333 62.328 5228 377 3 83 15 Male No No Caucasian 380
335 334 21.011 3402 261 2 68 17 Male No Yes African American 182
336 335 24.23 4756 351 2 64 15 Female No Yes Caucasian 594
337 336 24.314 3409 270 2 23 7 Female No Yes Caucasian 194
338 337 32.856 5884 438 4 68 13 Male No No Caucasian 926
339 338 12.414 855 119 3 32 12 Male No Yes African American 0
340 339 41.365 5303 377 1 45 14 Male No No Caucasian 606
341 340 149.316 10278 707 1 80 16 Male No No African American 1107
342 341 27.794 3807 301 4 35 8 Female No Yes African American 320
343 342 13.234 3922 299 2 77 17 Female No Yes Caucasian 426
344 343 14.595 2955 260 5 37 9 Male No Yes African American 204
345 344 10.735 3746 280 2 44 17 Female No Yes Caucasian 410
346 345 48.218 5199 401 7 39 10 Male No Yes Asian 633
347 346 30.012 1511 137 2 33 17 Male No Yes Caucasian 0
348 347 21.551 5380 420 5 51 18 Male No Yes Asian 907
349 348 160.231 10748 754 2 69 17 Male No No Caucasian 1192
350 349 13.433 1134 112 3 70 14 Male No Yes Caucasian 0
351 350 48.577 5145 389 3 71 13 Female No Yes Asian 503
352 351 30.002 1561 155 4 70 13 Female No Yes Caucasian 0
353 352 61.62 5140 374 1 71 9 Male No Yes Caucasian 302
354 353 104.483 7140 507 2 41 14 Male No Yes African American 583
355 354 41.868 4716 342 2 47 18 Male No No Caucasian 425
356 355 12.068 3873 292 1 44 18 Female No Yes Asian 413
357 356 180.682 11966 832 2 58 8 Female No Yes African American 1405
358 357 34.48 6090 442 3 36 14 Male No No Caucasian 962
359 358 39.609 2539 188 1 40 14 Male No Yes Asian 0
360 359 30.111 4336 339 1 81 18 Male No Yes Caucasian 347
361 360 12.335 4471 344 3 79 12 Male No Yes African American 611
362 361 53.566 5891 434 4 82 10 Female No No Caucasian 712
363 362 53.217 4943 362 2 46 16 Female No Yes Asian 382
364 363 26.162 5101 382 3 62 19 Female No No African American 710
365 364 64.173 6127 433 1 80 10 Male No Yes Caucasian 578
366 365 128.669 9824 685 3 67 16 Male No Yes Asian 1243
367 366 113.772 6442 489 4 69 15 Male Yes Yes Caucasian 790
368 367 61.069 7871 564 3 56 14 Male No Yes Caucasian 1264
369 368 23.793 3615 263 2 70 14 Male No No African American 216
370 369 89 5759 440 3 37 6 Female No No Caucasian 345
371 370 71.682 8028 599 3 57 16 Male No Yes Caucasian 1208
372 371 35.61 6135 466 4 40 12 Male No No Caucasian 992
373 372 39.116 2150 173 4 75 15 Male No No Caucasian 0
374 373 19.782 3782 293 2 46 16 Female Yes No Caucasian 840
375 374 55.412 5354 383 2 37 16 Female Yes Yes Caucasian 1003
376 375 29.4 4840 368 3 76 18 Female No Yes Caucasian 588
377 376 20.974 5673 413 5 44 16 Female No Yes Caucasian 1000
378 377 87.625 7167 515 2 46 10 Female No No African American 767
379 378 28.144 1567 142 3 51 10 Male No Yes Caucasian 0
380 379 19.349 4941 366 1 33 19 Male No Yes Caucasian 717
381 380 53.308 2860 214 1 84 10 Male No Yes Caucasian 0
382 381 115.123 7760 538 3 83 14 Female No No African American 661
383 382 101.788 8029 574 2 84 11 Male No Yes Caucasian 849
384 383 24.824 5495 409 1 33 9 Male Yes No Caucasian 1352
385 384 14.292 3274 282 9 64 9 Male No Yes Caucasian 382
386 385 20.088 1870 180 3 76 16 Male No No African American 0
387 386 26.4 5640 398 3 58 15 Female No No Asian 905
388 387 19.253 3683 287 4 57 10 Male No No African American 371
389 388 16.529 1357 126 3 62 9 Male No No Asian 0
390 389 37.878 6827 482 2 80 13 Female No No Caucasian 1129
391 390 83.948 7100 503 2 44 18 Male No No Caucasian 806
392 391 135.118 10578 747 3 81 15 Female No Yes Asian 1393
393 392 73.327 6555 472 2 43 15 Female No No Caucasian 721
394 393 25.974 2308 196 2 24 10 Male No No Asian 0
395 394 17.316 1335 138 2 65 13 Male No No African American 0
396 395 49.794 5758 410 4 40 8 Male No No Caucasian 734
397 396 12.096 4100 307 3 32 13 Male No Yes Caucasian 560
398 397 13.364 3838 296 5 65 17 Male No No African American 480
399 398 57.872 4171 321 5 67 12 Female No Yes Caucasian 138
400 399 37.728 2525 192 1 44 13 Male No Yes Caucasian 0
401 400 18.701 5524 415 5 64 7 Female No No Asian 966

15
R/Credit Rating/credit_description.txt 100755
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"Credit.csv" data description
Column Variable name Description
A " " Identifier
B Income Income in $000
C Limit Credit limit in $
D Rating Credit rating score given at the issue of the most recent credit card
E Cards Number of credit cards held
F Age Age of the individual in years
G Education Years of education
H Gender Gender - recorded as Male or Female
I Student Yes = student; No = non-student
J Married Yes = married; No = not married
K Ethnicity Recorded as Caucasian, Asian or African American
L Balance Balance of credit account in $

158
R/Credit Rating/week1_credit.R 100644
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#####################################################
#Reading in the Credit data
#####################################################
data = read.csv("Credit.csv", header = TRUE, sep=",")
#####################################################
#Model #1: All numerical variables
#####################################################
fit1<-lm(Balance~Income+Limit+Rating+Cards+Age+Education,data=data)
#look at the summary of the linear model fit
summary(fit1)
# creating a dummy variable for Gender
gender_dummy <- ifelse(data$Gender == 'Female', 1, 0)
# creating a dummy variable for Married
married_dummy <- ifelse(data$Married == 'Yes', 1, 0)
# creating a dummy variable for Student
student_dummy <- ifelse(data$Student == 'Yes', 1, 0)
# adding the dummy variables to the dataframe
data[,13] = gender_dummy #V13
data[,14] = married_dummy #V14
data[,15] = student_dummy #V15
#####################################################
#Model #2: With dummy variables
#####################################################
fit2<-lm(Balance~Income+Limit+Rating+Cards+Age+Education+V13+V14+V15,data=data)
#look at the summary of the linear model fit
summary(fit2)
# creating a dummy variable for Asian Ethinicity
asian_dummy <- ifelse(data$Ethnicity == 'Asian', 1, 0)
# creating a dummy variable for African Ethinicity
african_dummy <- ifelse(data$Ethnicity == 'African American', 1, 0)
data[,16] = asian_dummy #V16
data[,17] = african_dummy #V17
#####################################################
#Model #3: With dummy variables (ethinicity)
#####################################################
fit3<-lm(Balance~Income+Limit+Rating+Cards+Age+Education+V13+V14+V15+V16+V17,data=data)
#look at the summary of the linear model fit
summary(fit3)
#plot scatter of residuals vs Income
plot(fit3$residuals~Income,data=data)
abline(h=0)
#plot scatter of residuals vs Limit
plot(fit3$residuals~Limit,data=data)
abline(h=0)
#plot scatter of residuals vs Rating
plot(fit3$residuals~Rating,data=data)
abline(h=0)
#plot scatter of residuals vs Cards
plot(fit3$residuals~Cards,data=data)
abline(h=0)
#plot scatter of residuals vs V15
plot(fit3$residuals~V15,data=data)
abline(h=0)
#plot scatter of residuals vs Age
plot(fit3$residuals~Age,data=data)
abline(h=0)
#####################################################
#Defining a function for the wald test - require MASS library
#H0: RB=c vs Ha: RB!=c
#R=the R matrix
#B=the estimated coefficients
#S=the covariance matrix of B
#c=the vector of constants
#####################################################
library(MASS)
wald<-function(R,B,S,c){
stats<-matrix(0,1,2)
dif=(R%*%B-c)
VV=R%*%(S)%*%t(R)
W=t(dif)%*%ginv(VV)%*%dif
stats[1]=W
stats[2]=pchisq(W,nrow(c),lower.tail=FALSE)
colnames(stats)<-c("Wald stat","p-value")
return(stats)
}
#define inputs to the wald test - joint significance of the three slope parameters
RR=cbind(rbind(0,0,0,0,0,0,0,0,0,0,0),diag(11))
cc=rbind(0,0,0,0,0,0,0,0,0,0,0)
bhat=(fit3$coefficients)
Shat=vcov(fit3)
wald1=wald(RR,bhat,Shat,cc)
wald1
###########################################################
#constructing quadratic terms for age, cards, limit
###########################################################
data[,18]=data$Age^2
names(data)[names(data)=="V18"] <- "age2"
data[,19]=data$Cards^2
names(data)[names(data)=="V19"] <- "cards2"
data[,20]=data$Limit^2
names(data)[names(data)=="V20"] <- "limit2"
#####################################################
#Model #4: Updated with transformations and multicolineariy
#####################################################
fit4<-lm(Balance~Income+Limit+Cards+Age+Education+V13+V14+V15+age2+cards2+limit2,data=data)
#look at the summary of the linear model fit
summary(fit4)
#####################################################
#Analysis : Factors affecting credit balance
# Income | Limit | Cards | Age | Student | Limit^2
#####################################################
#Modelling interactions - context!
#####################################################
data[,21]=data$Limit*data$Cards
names(data)[names(data)=="V21"] <- "LimitxCards"
data[,22]=data$limit2*data$Cards
names(data)[names(data)=="V22"] <- "Limit2xCards"
# Step 1
fit_step1<-lm(Balance~Income+Limit+Cards+Age+V15+limit2+LimitxCards+Limit2xCards,data=data)
#look at the summary of the linear model fit
summary(fit_step1)
# Step 2
fit_step2<-lm(Balance~Income+Limit+Age+V15+limit2+LimitxCards+Limit2xCards,data=data)
#look at the summary of the linear model fit
summary(fit_step2)
# Step 3
fit_step3<-lm(Balance~Income+Limit+Age+V15+limit2+LimitxCards,data=data)
#look at the summary of the linear model fit
summary(fit_step3)
# Step 4
fit_step4<-lm(Balance~Income+Limit+V15+limit2+LimitxCards,data=data)
#look at the summary of the linear model fit
summary(fit_step4)
step(fit_step4)