mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-24 13:31:07 +00:00
10 KiB
10 KiB
1 | User ID | Gender | Age | EstimatedSalary | Purchased |
---|---|---|---|---|---|
2 | 15624510 | Male | 19 | 19000 | 0 |
3 | 15810944 | Male | 35 | 20000 | 0 |
4 | 15668575 | Female | 26 | 43000 | 0 |
5 | 15603246 | Female | 27 | 57000 | 0 |
6 | 15804002 | Male | 19 | 76000 | 0 |
7 | 15728773 | Male | 27 | 58000 | 0 |
8 | 15598044 | Female | 27 | 84000 | 0 |
9 | 15694829 | Female | 32 | 150000 | 1 |
10 | 15600575 | Male | 25 | 33000 | 0 |
11 | 15727311 | Female | 35 | 65000 | 0 |
12 | 15570769 | Female | 26 | 80000 | 0 |
13 | 15606274 | Female | 26 | 52000 | 0 |
14 | 15746139 | Male | 20 | 86000 | 0 |
15 | 15704987 | Male | 32 | 18000 | 0 |
16 | 15628972 | Male | 18 | 82000 | 0 |
17 | 15697686 | Male | 29 | 80000 | 0 |
18 | 15733883 | Male | 47 | 25000 | 1 |
19 | 15617482 | Male | 45 | 26000 | 1 |
20 | 15704583 | Male | 46 | 28000 | 1 |
21 | 15621083 | Female | 48 | 29000 | 1 |
22 | 15649487 | Male | 45 | 22000 | 1 |
23 | 15736760 | Female | 47 | 49000 | 1 |
24 | 15714658 | Male | 48 | 41000 | 1 |
25 | 15599081 | Female | 45 | 22000 | 1 |
26 | 15705113 | Male | 46 | 23000 | 1 |
27 | 15631159 | Male | 47 | 20000 | 1 |
28 | 15792818 | Male | 49 | 28000 | 1 |
29 | 15633531 | Female | 47 | 30000 | 1 |
30 | 15744529 | Male | 29 | 43000 | 0 |
31 | 15669656 | Male | 31 | 18000 | 0 |
32 | 15581198 | Male | 31 | 74000 | 0 |
33 | 15729054 | Female | 27 | 137000 | 1 |
34 | 15573452 | Female | 21 | 16000 | 0 |
35 | 15776733 | Female | 28 | 44000 | 0 |
36 | 15724858 | Male | 27 | 90000 | 0 |
37 | 15713144 | Male | 35 | 27000 | 0 |
38 | 15690188 | Female | 33 | 28000 | 0 |
39 | 15689425 | Male | 30 | 49000 | 0 |
40 | 15671766 | Female | 26 | 72000 | 0 |
41 | 15782806 | Female | 27 | 31000 | 0 |
42 | 15764419 | Female | 27 | 17000 | 0 |
43 | 15591915 | Female | 33 | 51000 | 0 |
44 | 15772798 | Male | 35 | 108000 | 0 |
45 | 15792008 | Male | 30 | 15000 | 0 |
46 | 15715541 | Female | 28 | 84000 | 0 |
47 | 15639277 | Male | 23 | 20000 | 0 |
48 | 15798850 | Male | 25 | 79000 | 0 |
49 | 15776348 | Female | 27 | 54000 | 0 |
50 | 15727696 | Male | 30 | 135000 | 1 |
51 | 15793813 | Female | 31 | 89000 | 0 |
52 | 15694395 | Female | 24 | 32000 | 0 |
53 | 15764195 | Female | 18 | 44000 | 0 |
54 | 15744919 | Female | 29 | 83000 | 0 |
55 | 15671655 | Female | 35 | 23000 | 0 |
56 | 15654901 | Female | 27 | 58000 | 0 |
57 | 15649136 | Female | 24 | 55000 | 0 |
58 | 15775562 | Female | 23 | 48000 | 0 |
59 | 15807481 | Male | 28 | 79000 | 0 |
60 | 15642885 | Male | 22 | 18000 | 0 |
61 | 15789109 | Female | 32 | 117000 | 0 |
62 | 15814004 | Male | 27 | 20000 | 0 |
63 | 15673619 | Male | 25 | 87000 | 0 |
64 | 15595135 | Female | 23 | 66000 | 0 |
65 | 15583681 | Male | 32 | 120000 | 1 |
66 | 15605000 | Female | 59 | 83000 | 0 |
67 | 15718071 | Male | 24 | 58000 | 0 |
68 | 15679760 | Male | 24 | 19000 | 0 |
69 | 15654574 | Female | 23 | 82000 | 0 |
70 | 15577178 | Female | 22 | 63000 | 0 |
71 | 15595324 | Female | 31 | 68000 | 0 |
72 | 15756932 | Male | 25 | 80000 | 0 |
73 | 15726358 | Female | 24 | 27000 | 0 |
74 | 15595228 | Female | 20 | 23000 | 0 |
75 | 15782530 | Female | 33 | 113000 | 0 |
76 | 15592877 | Male | 32 | 18000 | 0 |
77 | 15651983 | Male | 34 | 112000 | 1 |
78 | 15746737 | Male | 18 | 52000 | 0 |
79 | 15774179 | Female | 22 | 27000 | 0 |
80 | 15667265 | Female | 28 | 87000 | 0 |
81 | 15655123 | Female | 26 | 17000 | 0 |
82 | 15595917 | Male | 30 | 80000 | 0 |
83 | 15668385 | Male | 39 | 42000 | 0 |
84 | 15709476 | Male | 20 | 49000 | 0 |
85 | 15711218 | Male | 35 | 88000 | 0 |
86 | 15798659 | Female | 30 | 62000 | 0 |
87 | 15663939 | Female | 31 | 118000 | 1 |
88 | 15694946 | Male | 24 | 55000 | 0 |
89 | 15631912 | Female | 28 | 85000 | 0 |
90 | 15768816 | Male | 26 | 81000 | 0 |
91 | 15682268 | Male | 35 | 50000 | 0 |
92 | 15684801 | Male | 22 | 81000 | 0 |
93 | 15636428 | Female | 30 | 116000 | 0 |
94 | 15809823 | Male | 26 | 15000 | 0 |
95 | 15699284 | Female | 29 | 28000 | 0 |
96 | 15786993 | Female | 29 | 83000 | 0 |
97 | 15709441 | Female | 35 | 44000 | 0 |
98 | 15710257 | Female | 35 | 25000 | 0 |
99 | 15582492 | Male | 28 | 123000 | 1 |
100 | 15575694 | Male | 35 | 73000 | 0 |
101 | 15756820 | Female | 28 | 37000 | 0 |
102 | 15766289 | Male | 27 | 88000 | 0 |
103 | 15593014 | Male | 28 | 59000 | 0 |
104 | 15584545 | Female | 32 | 86000 | 0 |
105 | 15675949 | Female | 33 | 149000 | 1 |
106 | 15672091 | Female | 19 | 21000 | 0 |
107 | 15801658 | Male | 21 | 72000 | 0 |
108 | 15706185 | Female | 26 | 35000 | 0 |
109 | 15789863 | Male | 27 | 89000 | 0 |
110 | 15720943 | Male | 26 | 86000 | 0 |
111 | 15697997 | Female | 38 | 80000 | 0 |
112 | 15665416 | Female | 39 | 71000 | 0 |
113 | 15660200 | Female | 37 | 71000 | 0 |
114 | 15619653 | Male | 38 | 61000 | 0 |
115 | 15773447 | Male | 37 | 55000 | 0 |
116 | 15739160 | Male | 42 | 80000 | 0 |
117 | 15689237 | Male | 40 | 57000 | 0 |
118 | 15679297 | Male | 35 | 75000 | 0 |
119 | 15591433 | Male | 36 | 52000 | 0 |
120 | 15642725 | Male | 40 | 59000 | 0 |
121 | 15701962 | Male | 41 | 59000 | 0 |
122 | 15811613 | Female | 36 | 75000 | 0 |
123 | 15741049 | Male | 37 | 72000 | 0 |
124 | 15724423 | Female | 40 | 75000 | 0 |
125 | 15574305 | Male | 35 | 53000 | 0 |
126 | 15678168 | Female | 41 | 51000 | 0 |
127 | 15697020 | Female | 39 | 61000 | 0 |
128 | 15610801 | Male | 42 | 65000 | 0 |
129 | 15745232 | Male | 26 | 32000 | 0 |
130 | 15722758 | Male | 30 | 17000 | 0 |
131 | 15792102 | Female | 26 | 84000 | 0 |
132 | 15675185 | Male | 31 | 58000 | 0 |
133 | 15801247 | Male | 33 | 31000 | 0 |
134 | 15725660 | Male | 30 | 87000 | 0 |
135 | 15638963 | Female | 21 | 68000 | 0 |
136 | 15800061 | Female | 28 | 55000 | 0 |
137 | 15578006 | Male | 23 | 63000 | 0 |
138 | 15668504 | Female | 20 | 82000 | 0 |
139 | 15687491 | Male | 30 | 107000 | 1 |
140 | 15610403 | Female | 28 | 59000 | 0 |
141 | 15741094 | Male | 19 | 25000 | 0 |
142 | 15807909 | Male | 19 | 85000 | 0 |
143 | 15666141 | Female | 18 | 68000 | 0 |
144 | 15617134 | Male | 35 | 59000 | 0 |
145 | 15783029 | Male | 30 | 89000 | 0 |
146 | 15622833 | Female | 34 | 25000 | 0 |
147 | 15746422 | Female | 24 | 89000 | 0 |
148 | 15750839 | Female | 27 | 96000 | 1 |
149 | 15749130 | Female | 41 | 30000 | 0 |
150 | 15779862 | Male | 29 | 61000 | 0 |
151 | 15767871 | Male | 20 | 74000 | 0 |
152 | 15679651 | Female | 26 | 15000 | 0 |
153 | 15576219 | Male | 41 | 45000 | 0 |
154 | 15699247 | Male | 31 | 76000 | 0 |
155 | 15619087 | Female | 36 | 50000 | 0 |
156 | 15605327 | Male | 40 | 47000 | 0 |
157 | 15610140 | Female | 31 | 15000 | 0 |
158 | 15791174 | Male | 46 | 59000 | 0 |
159 | 15602373 | Male | 29 | 75000 | 0 |
160 | 15762605 | Male | 26 | 30000 | 0 |
161 | 15598840 | Female | 32 | 135000 | 1 |
162 | 15744279 | Male | 32 | 100000 | 1 |
163 | 15670619 | Male | 25 | 90000 | 0 |
164 | 15599533 | Female | 37 | 33000 | 0 |
165 | 15757837 | Male | 35 | 38000 | 0 |
166 | 15697574 | Female | 33 | 69000 | 0 |
167 | 15578738 | Female | 18 | 86000 | 0 |
168 | 15762228 | Female | 22 | 55000 | 0 |
169 | 15614827 | Female | 35 | 71000 | 0 |
170 | 15789815 | Male | 29 | 148000 | 1 |
171 | 15579781 | Female | 29 | 47000 | 0 |
172 | 15587013 | Male | 21 | 88000 | 0 |
173 | 15570932 | Male | 34 | 115000 | 0 |
174 | 15794661 | Female | 26 | 118000 | 0 |
175 | 15581654 | Female | 34 | 43000 | 0 |
176 | 15644296 | Female | 34 | 72000 | 0 |
177 | 15614420 | Female | 23 | 28000 | 0 |
178 | 15609653 | Female | 35 | 47000 | 0 |
179 | 15594577 | Male | 25 | 22000 | 0 |
180 | 15584114 | Male | 24 | 23000 | 0 |
181 | 15673367 | Female | 31 | 34000 | 0 |
182 | 15685576 | Male | 26 | 16000 | 0 |
183 | 15774727 | Female | 31 | 71000 | 0 |
184 | 15694288 | Female | 32 | 117000 | 1 |
185 | 15603319 | Male | 33 | 43000 | 0 |
186 | 15759066 | Female | 33 | 60000 | 0 |
187 | 15814816 | Male | 31 | 66000 | 0 |
188 | 15724402 | Female | 20 | 82000 | 0 |
189 | 15571059 | Female | 33 | 41000 | 0 |
190 | 15674206 | Male | 35 | 72000 | 0 |
191 | 15715160 | Male | 28 | 32000 | 0 |
192 | 15730448 | Male | 24 | 84000 | 0 |
193 | 15662067 | Female | 19 | 26000 | 0 |
194 | 15779581 | Male | 29 | 43000 | 0 |
195 | 15662901 | Male | 19 | 70000 | 0 |
196 | 15689751 | Male | 28 | 89000 | 0 |
197 | 15667742 | Male | 34 | 43000 | 0 |
198 | 15738448 | Female | 30 | 79000 | 0 |
199 | 15680243 | Female | 20 | 36000 | 0 |
200 | 15745083 | Male | 26 | 80000 | 0 |
201 | 15708228 | Male | 35 | 22000 | 0 |
202 | 15628523 | Male | 35 | 39000 | 0 |
203 | 15708196 | Male | 49 | 74000 | 0 |
204 | 15735549 | Female | 39 | 134000 | 1 |
205 | 15809347 | Female | 41 | 71000 | 0 |
206 | 15660866 | Female | 58 | 101000 | 1 |
207 | 15766609 | Female | 47 | 47000 | 0 |
208 | 15654230 | Female | 55 | 130000 | 1 |
209 | 15794566 | Female | 52 | 114000 | 0 |
210 | 15800890 | Female | 40 | 142000 | 1 |
211 | 15697424 | Female | 46 | 22000 | 0 |
212 | 15724536 | Female | 48 | 96000 | 1 |
213 | 15735878 | Male | 52 | 150000 | 1 |
214 | 15707596 | Female | 59 | 42000 | 0 |
215 | 15657163 | Male | 35 | 58000 | 0 |
216 | 15622478 | Male | 47 | 43000 | 0 |
217 | 15779529 | Female | 60 | 108000 | 1 |
218 | 15636023 | Male | 49 | 65000 | 0 |
219 | 15582066 | Male | 40 | 78000 | 0 |
220 | 15666675 | Female | 46 | 96000 | 0 |
221 | 15732987 | Male | 59 | 143000 | 1 |
222 | 15789432 | Female | 41 | 80000 | 0 |
223 | 15663161 | Male | 35 | 91000 | 1 |
224 | 15694879 | Male | 37 | 144000 | 1 |
225 | 15593715 | Male | 60 | 102000 | 1 |
226 | 15575002 | Female | 35 | 60000 | 0 |
227 | 15622171 | Male | 37 | 53000 | 0 |
228 | 15795224 | Female | 36 | 126000 | 1 |
229 | 15685346 | Male | 56 | 133000 | 1 |
230 | 15691808 | Female | 40 | 72000 | 0 |
231 | 15721007 | Female | 42 | 80000 | 1 |
232 | 15794253 | Female | 35 | 147000 | 1 |
233 | 15694453 | Male | 39 | 42000 | 0 |
234 | 15813113 | Male | 40 | 107000 | 1 |
235 | 15614187 | Male | 49 | 86000 | 1 |
236 | 15619407 | Female | 38 | 112000 | 0 |
237 | 15646227 | Male | 46 | 79000 | 1 |
238 | 15660541 | Male | 40 | 57000 | 0 |
239 | 15753874 | Female | 37 | 80000 | 0 |
240 | 15617877 | Female | 46 | 82000 | 0 |
241 | 15772073 | Female | 53 | 143000 | 1 |
242 | 15701537 | Male | 42 | 149000 | 1 |
243 | 15736228 | Male | 38 | 59000 | 0 |
244 | 15780572 | Female | 50 | 88000 | 1 |
245 | 15769596 | Female | 56 | 104000 | 1 |
246 | 15586996 | Female | 41 | 72000 | 0 |
247 | 15722061 | Female | 51 | 146000 | 1 |
248 | 15638003 | Female | 35 | 50000 | 0 |
249 | 15775590 | Female | 57 | 122000 | 1 |
250 | 15730688 | Male | 41 | 52000 | 0 |
251 | 15753102 | Female | 35 | 97000 | 1 |
252 | 15810075 | Female | 44 | 39000 | 0 |
253 | 15723373 | Male | 37 | 52000 | 0 |
254 | 15795298 | Female | 48 | 134000 | 1 |
255 | 15584320 | Female | 37 | 146000 | 1 |
256 | 15724161 | Female | 50 | 44000 | 0 |
257 | 15750056 | Female | 52 | 90000 | 1 |
258 | 15609637 | Female | 41 | 72000 | 0 |
259 | 15794493 | Male | 40 | 57000 | 0 |
260 | 15569641 | Female | 58 | 95000 | 1 |
261 | 15815236 | Female | 45 | 131000 | 1 |
262 | 15811177 | Female | 35 | 77000 | 0 |
263 | 15680587 | Male | 36 | 144000 | 1 |
264 | 15672821 | Female | 55 | 125000 | 1 |
265 | 15767681 | Female | 35 | 72000 | 0 |
266 | 15600379 | Male | 48 | 90000 | 1 |
267 | 15801336 | Female | 42 | 108000 | 1 |
268 | 15721592 | Male | 40 | 75000 | 0 |
269 | 15581282 | Male | 37 | 74000 | 0 |
270 | 15746203 | Female | 47 | 144000 | 1 |
271 | 15583137 | Male | 40 | 61000 | 0 |
272 | 15680752 | Female | 43 | 133000 | 0 |
273 | 15688172 | Female | 59 | 76000 | 1 |
274 | 15791373 | Male | 60 | 42000 | 1 |
275 | 15589449 | Male | 39 | 106000 | 1 |
276 | 15692819 | Female | 57 | 26000 | 1 |
277 | 15727467 | Male | 57 | 74000 | 1 |
278 | 15734312 | Male | 38 | 71000 | 0 |
279 | 15764604 | Male | 49 | 88000 | 1 |
280 | 15613014 | Female | 52 | 38000 | 1 |
281 | 15759684 | Female | 50 | 36000 | 1 |
282 | 15609669 | Female | 59 | 88000 | 1 |
283 | 15685536 | Male | 35 | 61000 | 0 |
284 | 15750447 | Male | 37 | 70000 | 1 |
285 | 15663249 | Female | 52 | 21000 | 1 |
286 | 15638646 | Male | 48 | 141000 | 0 |
287 | 15734161 | Female | 37 | 93000 | 1 |
288 | 15631070 | Female | 37 | 62000 | 0 |
289 | 15761950 | Female | 48 | 138000 | 1 |
290 | 15649668 | Male | 41 | 79000 | 0 |
291 | 15713912 | Female | 37 | 78000 | 1 |
292 | 15586757 | Male | 39 | 134000 | 1 |
293 | 15596522 | Male | 49 | 89000 | 1 |
294 | 15625395 | Male | 55 | 39000 | 1 |
295 | 15760570 | Male | 37 | 77000 | 0 |
296 | 15566689 | Female | 35 | 57000 | 0 |
297 | 15725794 | Female | 36 | 63000 | 0 |
298 | 15673539 | Male | 42 | 73000 | 1 |
299 | 15705298 | Female | 43 | 112000 | 1 |
300 | 15675791 | Male | 45 | 79000 | 0 |
301 | 15747043 | Male | 46 | 117000 | 1 |
302 | 15736397 | Female | 58 | 38000 | 1 |
303 | 15678201 | Male | 48 | 74000 | 1 |
304 | 15720745 | Female | 37 | 137000 | 1 |
305 | 15637593 | Male | 37 | 79000 | 1 |
306 | 15598070 | Female | 40 | 60000 | 0 |
307 | 15787550 | Male | 42 | 54000 | 0 |
308 | 15603942 | Female | 51 | 134000 | 0 |
309 | 15733973 | Female | 47 | 113000 | 1 |
310 | 15596761 | Male | 36 | 125000 | 1 |
311 | 15652400 | Female | 38 | 50000 | 0 |
312 | 15717893 | Female | 42 | 70000 | 0 |
313 | 15622585 | Male | 39 | 96000 | 1 |
314 | 15733964 | Female | 38 | 50000 | 0 |
315 | 15753861 | Female | 49 | 141000 | 1 |
316 | 15747097 | Female | 39 | 79000 | 0 |
317 | 15594762 | Female | 39 | 75000 | 1 |
318 | 15667417 | Female | 54 | 104000 | 1 |
319 | 15684861 | Male | 35 | 55000 | 0 |
320 | 15742204 | Male | 45 | 32000 | 1 |
321 | 15623502 | Male | 36 | 60000 | 0 |
322 | 15774872 | Female | 52 | 138000 | 1 |
323 | 15611191 | Female | 53 | 82000 | 1 |
324 | 15674331 | Male | 41 | 52000 | 0 |
325 | 15619465 | Female | 48 | 30000 | 1 |
326 | 15575247 | Female | 48 | 131000 | 1 |
327 | 15695679 | Female | 41 | 60000 | 0 |
328 | 15713463 | Male | 41 | 72000 | 0 |
329 | 15785170 | Female | 42 | 75000 | 0 |
330 | 15796351 | Male | 36 | 118000 | 1 |
331 | 15639576 | Female | 47 | 107000 | 1 |
332 | 15693264 | Male | 38 | 51000 | 0 |
333 | 15589715 | Female | 48 | 119000 | 1 |
334 | 15769902 | Male | 42 | 65000 | 0 |
335 | 15587177 | Male | 40 | 65000 | 0 |
336 | 15814553 | Male | 57 | 60000 | 1 |
337 | 15601550 | Female | 36 | 54000 | 0 |
338 | 15664907 | Male | 58 | 144000 | 1 |
339 | 15612465 | Male | 35 | 79000 | 0 |
340 | 15810800 | Female | 38 | 55000 | 0 |
341 | 15665760 | Male | 39 | 122000 | 1 |
342 | 15588080 | Female | 53 | 104000 | 1 |
343 | 15776844 | Male | 35 | 75000 | 0 |
344 | 15717560 | Female | 38 | 65000 | 0 |
345 | 15629739 | Female | 47 | 51000 | 1 |
346 | 15729908 | Male | 47 | 105000 | 1 |
347 | 15716781 | Female | 41 | 63000 | 0 |
348 | 15646936 | Male | 53 | 72000 | 1 |
349 | 15768151 | Female | 54 | 108000 | 1 |
350 | 15579212 | Male | 39 | 77000 | 0 |
351 | 15721835 | Male | 38 | 61000 | 0 |
352 | 15800515 | Female | 38 | 113000 | 1 |
353 | 15591279 | Male | 37 | 75000 | 0 |
354 | 15587419 | Female | 42 | 90000 | 1 |
355 | 15750335 | Female | 37 | 57000 | 0 |
356 | 15699619 | Male | 36 | 99000 | 1 |
357 | 15606472 | Male | 60 | 34000 | 1 |
358 | 15778368 | Male | 54 | 70000 | 1 |
359 | 15671387 | Female | 41 | 72000 | 0 |
360 | 15573926 | Male | 40 | 71000 | 1 |
361 | 15709183 | Male | 42 | 54000 | 0 |
362 | 15577514 | Male | 43 | 129000 | 1 |
363 | 15778830 | Female | 53 | 34000 | 1 |
364 | 15768072 | Female | 47 | 50000 | 1 |
365 | 15768293 | Female | 42 | 79000 | 0 |
366 | 15654456 | Male | 42 | 104000 | 1 |
367 | 15807525 | Female | 59 | 29000 | 1 |
368 | 15574372 | Female | 58 | 47000 | 1 |
369 | 15671249 | Male | 46 | 88000 | 1 |
370 | 15779744 | Male | 38 | 71000 | 0 |
371 | 15624755 | Female | 54 | 26000 | 1 |
372 | 15611430 | Female | 60 | 46000 | 1 |
373 | 15774744 | Male | 60 | 83000 | 1 |
374 | 15629885 | Female | 39 | 73000 | 0 |
375 | 15708791 | Male | 59 | 130000 | 1 |
376 | 15793890 | Female | 37 | 80000 | 0 |
377 | 15646091 | Female | 46 | 32000 | 1 |
378 | 15596984 | Female | 46 | 74000 | 0 |
379 | 15800215 | Female | 42 | 53000 | 0 |
380 | 15577806 | Male | 41 | 87000 | 1 |
381 | 15749381 | Female | 58 | 23000 | 1 |
382 | 15683758 | Male | 42 | 64000 | 0 |
383 | 15670615 | Male | 48 | 33000 | 1 |
384 | 15715622 | Female | 44 | 139000 | 1 |
385 | 15707634 | Male | 49 | 28000 | 1 |
386 | 15806901 | Female | 57 | 33000 | 1 |
387 | 15775335 | Male | 56 | 60000 | 1 |
388 | 15724150 | Female | 49 | 39000 | 1 |
389 | 15627220 | Male | 39 | 71000 | 0 |
390 | 15672330 | Male | 47 | 34000 | 1 |
391 | 15668521 | Female | 48 | 35000 | 1 |
392 | 15807837 | Male | 48 | 33000 | 1 |
393 | 15592570 | Male | 47 | 23000 | 1 |
394 | 15748589 | Female | 45 | 45000 | 1 |
395 | 15635893 | Male | 60 | 42000 | 1 |
396 | 15757632 | Female | 39 | 59000 | 0 |
397 | 15691863 | Female | 46 | 41000 | 1 |
398 | 15706071 | Male | 51 | 23000 | 1 |
399 | 15654296 | Female | 50 | 20000 | 1 |
400 | 15755018 | Male | 36 | 33000 | 0 |
401 | 15594041 | Female | 49 | 36000 | 1 |