ID,Age,Gender,Country,Coffee_Intake,Caffeine_mg,Sleep_Hours,Sleep_Quality,BMI,Heart_Rate,Stress_Level,Physical_Activity_Hours,Health_Issues,Occupation,Smoking,Alcohol_Consumption
1,40,Male,Germany,3.5,328.1,7.5,Good,24.9,78,Low,14.5,None,Other,0,0
2,33,Male,Germany,1.0,94.1,6.2,Good,20.0,67,Low,11.0,None,Service,0,0
3,42,Male,Brazil,5.3,503.7,5.9,Fair,22.7,59,Medium,11.2,Mild,Office,0,0
4,53,Male,Germany,2.6,249.2,7.3,Good,24.7,71,Low,6.6,Mild,Other,0,0
5,32,Female,Spain,3.1,298.0,5.3,Fair,24.1,76,Medium,8.5,Mild,Student,0,1
6,32,Male,Mexico,3.4,326.4,6.4,Good,27.0,82,Low,8.8,None,Service,0,0
7,53,Male,France,2.7,252.1,7.8,Good,24.3,58,Low,1.0,Mild,Student,1,0
8,44,Female,Canada,4.5,423.5,5.5,Fair,15.8,62,Medium,0.7,Mild,Service,1,1
9,29,Male,UK,1.7,162.0,7.1,Good,21.7,60,Low,2.2,None,Service,1,1
10,41,Female,Switzerland,4.0,383.2,6.4,Good,30.4,69,Low,11.9,Mild,Office,0,0
11,29,Female,Switzerland,4.5,427.5,8.1,Excellent,21.5,66,Low,8.4,None,Other,0,1
12,29,Male,Netherlands,4.1,385.2,6.5,Good,23.1,80,Low,8.9,None,Office,0,1
13,37,Female,Italy,4.7,441.9,6.9,Good,15.4,77,Low,5.2,None,Service,0,1
14,18,Female,Italy,1.4,133.4,6.6,Good,19.8,78,Low,13.0,None,Office,0,0
15,18,Male,Mexico,3.2,308.3,5.9,Fair,21.1,83,Medium,14.5,Mild,Service,1,0
16,28,Male,Spain,3.1,297.0,6.8,Good,31.7,56,Low,3.2,Mild,Office,0,0
17,22,Female,China,2.6,248.2,5.9,Fair,24.0,70,Medium,4.7,Mild,Service,1,0
18,38,Female,Japan,3.4,326.8,7.7,Good,23.3,72,Low,4.9,None,Healthcare,1,1
19,24,Female,UK,4.3,409.5,7.8,Good,22.7,63,Low,14.4,None,Healthcare,0,1
20,18,Male,Germany,1.4,134.6,6.9,Good,18.8,70,Low,7.8,None,Student,0,0
21,52,Female,Italy,0.7,65.5,6.4,Good,28.2,74,Low,8.5,Mild,Service,0,0
22,32,Male,France,2.2,208.3,6.9,Good,17.0,65,Low,5.5,None,Office,0,0
23,35,Female,Belgium,0.0,0.0,5.5,Fair,23.4,70,Medium,13.5,Mild,Service,0,0
24,18,Female,UK,2.4,227.6,5.7,Fair,15.4,67,Medium,2.9,Mild,Office,0,0
25,28,Female,Finland,4.6,441.2,5.0,Poor,21.6,78,High,6.9,Mild,Student,0,0
26,36,Female,Mexico,0.4,34.7,6.1,Good,15.0,79,Low,3.4,None,Service,1,0
27,21,Female,Belgium,1.9,178.0,6.0,Fair,20.8,76,Medium,8.8,Mild,Student,0,0
28,39,Female,Australia,0.8,75.5,5.3,Fair,27.6,85,Medium,8.2,Mild,Office,0,0
29,27,Male,Canada,3.1,294.0,6.2,Good,18.1,50,Low,2.0,None,Other,0,1
30,31,Female,Australia,3.5,328.2,6.2,Good,21.6,67,Low,12.5,None,Office,0,1
31,27,Female,USA,2.5,240.6,7.3,Good,27.5,59,Low,1.8,None,Student,0,0
32,57,Male,Finland,1.5,139.9,6.9,Good,32.7,86,Low,2.6,Moderate,Service,1,0
33,34,Male,France,2.8,264.6,8.3,Excellent,24.9,58,Low,4.1,None,Service,0,0
34,22,Male,Sweden,4.4,413.8,7.1,Good,22.1,86,Low,12.2,None,Student,0,0
35,44,Female,Brazil,3.8,364.3,9.2,Excellent,22.7,68,Low,3.1,None,Service,0,0
36,20,Female,China,1.9,179.5,5.3,Fair,21.2,63,Medium,3.3,Mild,Healthcare,0,0
37,37,Male,Italy,2.0,191.3,7.9,Good,23.1,73,Low,9.8,None,Other,0,0
38,18,Female,China,2.0,187.4,4.8,Poor,35.8,90,High,12.4,Moderate,Student,0,1
39,19,Male,China,3.2,307.4,7.8,Good,27.8,62,Low,10.5,None,Other,0,0
40,37,Female,India,0.4,40.6,7.4,Good,26.4,72,Low,8.1,None,Student,1,0
41,43,Male,Norway,3.3,314.8,6.2,Good,25.4,75,Low,9.8,None,Other,1,1
42,37,Male,USA,1.7,160.3,7.0,Good,24.4,60,Low,8.2,None,Office,0,0
43,33,Male,Norway,2.1,199.7,6.1,Good,24.5,64,Low,5.4,None,Student,1,0
44,31,Male,Finland,1.4,133.4,6.1,Good,30.5,65,Low,10.4,Mild,Service,1,0
45,18,Female,Italy,3.6,341.7,7.0,Good,24.6,72,Low,10.3,None,Other,1,0
46,26,Female,Canada,1.6,153.0,4.8,Poor,23.1,56,High,9.5,Mild,Office,0,0
47,29,Male,UK,1.1,100.8,7.2,Good,19.8,70,Low,9.5,None,Office,0,0
48,47,Male,India,1.6,155.0,6.6,Good,24.6,59,Low,3.5,None,Office,0,0
49,39,Male,China,0.9,83.3,6.5,Good,21.6,68,Low,13.9,None,Service,0,1
50,18,Female,Belgium,3.8,360.3,5.8,Fair,23.3,60,Medium,14.9,Mild,Office,0,0
51,38,Female,Netherlands,0.8,80.4,7.2,Good,20.2,83,Low,8.3,None,Other,1,1
52,30,Male,Japan,2.4,231.3,7.9,Good,24.3,73,Low,3.4,None,Service,0,0
53,26,Female,China,1.5,144.8,9.4,Excellent,21.4,62,Low,4.8,None,Student,0,0
54,42,Male,Finland,4.9,461.0,7.6,Good,18.9,89,Low,11.1,None,Service,0,0
55,47,Female,France,3.1,297.8,7.5,Good,29.0,56,Low,4.1,None,Student,1,0
56,46,Female,India,1.6,147.8,5.8,Fair,18.2,70,Medium,9.1,Mild,Student,0,0
57,24,Female,Spain,2.8,261.9,5.9,Fair,20.9,75,Medium,1.5,Mild,Student,0,1
58,31,Female,India,1.1,107.9,6.8,Good,25.5,67,Low,14.5,None,Student,0,1
59,38,Female,Sweden,3.5,333.2,7.0,Good,28.0,70,Low,12.6,None,Service,0,1
60,46,Female,Japan,2.8,261.4,6.0,Good,23.9,64,Low,12.3,None,Healthcare,1,0
61,29,Female,Spain,3.1,297.2,8.0,Good,23.5,62,Low,11.6,None,Healthcare,0,0
62,32,Male,Japan,1.1,101.6,6.0,Good,18.8,79,Low,0.0,None,Office,0,1
63,21,Male,Finland,0.4,40.3,5.4,Fair,21.2,71,Medium,1.0,Mild,Other,0,0
64,20,Male,Japan,0.0,0.4,8.2,Excellent,17.2,73,Low,8.8,None,Other,0,0
65,44,Female,Netherlands,0.1,11.2,7.3,Good,23.3,76,Low,11.5,None,Other,0,1
66,51,Male,Sweden,2.5,239.1,6.3,Good,25.9,64,Low,11.3,Mild,Office,1,0
67,34,Male,Mexico,5.4,511.4,4.5,Poor,25.6,65,High,7.9,Mild,Other,0,1
68,47,Male,Belgium,1.9,180.6,7.9,Good,16.9,63,Low,7.8,None,Service,0,1
69,39,Male,Canada,1.6,155.0,9.6,Excellent,26.5,71,Low,1.3,None,Healthcare,0,0
70,27,Female,Italy,2.4,229.8,7.2,Good,29.2,90,Low,13.9,None,Student,0,0
71,39,Female,Brazil,1.3,125.5,6.0,Good,22.5,71,Low,4.7,None,Other,0,0
72,53,Female,Australia,0.6,54.8,7.2,Good,30.3,50,Low,3.1,Moderate,Office,0,0
73,34,Female,Mexico,1.5,144.2,7.4,Good,22.2,73,Low,9.0,None,Office,0,0
74,53,Female,Germany,2.2,205.2,7.3,Good,17.8,74,Low,0.4,Mild,Service,0,1
75,18,Male,Finland,5.3,502.5,5.2,Fair,23.4,82,Medium,14.4,Mild,Student,1,0
76,44,Male,Japan,1.8,167.9,6.1,Good,22.8,83,Low,5.5,None,Student,0,1
77,36,Female,Australia,2.8,265.3,5.7,Fair,28.2,100,Medium,4.4,Mild,Office,1,0
78,31,Male,UK,0.4,42.0,7.4,Good,20.0,69,Low,2.3,None,Other,0,0
79,36,Male,UK,3.5,336.4,6.4,Good,25.6,74,Low,7.6,None,Service,0,1
80,18,Female,Australia,1.4,132.1,8.2,Excellent,17.1,74,Low,5.8,None,Service,1,0
81,32,Male,Sweden,0.8,76.6,7.2,Good,21.8,66,Low,4.6,None,Student,0,0
82,39,Male,Australia,1.0,91.0,7.7,Good,22.5,68,Low,2.0,None,Service,0,0
83,52,Male,Australia,1.5,146.0,6.4,Good,22.0,63,Low,4.9,Mild,Healthcare,0,0
84,28,Male,Spain,0.8,72.8,4.7,Poor,17.7,66,High,12.3,Mild,Student,0,1
85,25,Male,Canada,2.9,279.0,8.2,Excellent,21.8,70,Low,11.9,None,Office,0,0
86,28,Male,Brazil,0.9,83.0,7.0,Good,24.1,75,Low,8.6,None,Service,1,0
87,45,Female,Spain,3.5,329.5,7.0,Good,28.3,75,Low,11.3,None,Student,0,0
88,38,Female,Netherlands,1.7,165.0,7.7,Good,20.9,59,Low,9.2,None,Other,0,0
89,28,Male,Canada,1.1,106.8,7.1,Good,19.9,57,Low,1.7,None,Other,0,1
90,41,Female,Italy,1.5,140.1,4.6,Poor,33.1,65,High,13.9,Moderate,Healthcare,1,0
91,36,Male,Italy,1.0,92.8,6.4,Good,15.5,86,Low,7.5,None,Office,0,0
92,46,Male,Norway,2.5,240.6,6.0,Good,20.9,75,Low,11.1,None,Other,0,0
93,26,Male,Germany,1.7,159.8,6.2,Good,19.8,72,Low,13.1,None,Student,1,0
94,31,Female,South Korea,4.2,395.9,6.1,Good,17.3,79,Low,13.2,None,Service,0,0
95,30,Male,Italy,0.0,0.0,7.1,Good,23.6,57,Low,14.0,None,Other,0,0
96,18,Female,France,4.3,404.0,8.7,Excellent,28.4,79,Low,9.7,None,Other,0,0
97,38,Female,Netherlands,1.5,141.6,7.4,Good,28.2,64,Low,9.5,None,Healthcare,0,0
98,38,Female,France,4.9,465.6,7.1,Good,26.3,56,Low,3.6,None,Service,0,0
99,35,Female,Sweden,2.7,254.7,6.0,Good,28.8,69,Low,4.7,None,Service,0,0
100,32,Female,UK,4.3,408.5,8.1,Excellent,23.0,82,Low,9.1,None,Other,0,1
101,18,Male,Spain,2.4,226.7,6.8,Good,24.0,73,Low,3.8,None,Service,0,1
102,29,Male,Italy,2.3,217.9,6.6,Good,25.0,69,Low,5.4,None,Office,1,0
103,30,Female,India,1.1,102.3,4.7,Poor,29.1,62,High,2.5,Mild,Office,0,0
104,25,Female,Norway,2.4,224.5,7.5,Good,22.4,69,Low,11.3,None,Other,0,0
105,33,Male,Finland,1.0,95.0,8.0,Good,28.8,92,Low,9.5,None,Other,0,1
106,39,Male,Australia,2.8,264.2,7.7,Good,30.3,79,Low,10.9,Mild,Office,0,0
107,57,Male,Belgium,2.7,260.5,4.9,Poor,25.3,71,High,6.7,Moderate,Service,0,0
108,37,Male,Spain,2.3,220.0,7.8,Good,27.2,61,Low,11.0,None,Healthcare,0,1
109,38,Male,Norway,4.4,413.8,6.0,Fair,19.3,52,Medium,7.0,Mild,Healthcare,0,1
110,34,Female,Sweden,3.2,308.4,5.0,Fair,26.3,59,Medium,8.0,Mild,Healthcare,0,1
111,18,Female,Italy,1.1,106.4,9.4,Excellent,26.3,67,Low,1.9,None,Service,0,0
112,34,Male,Finland,3.4,318.5,8.3,Excellent,25.0,61,Low,0.5,None,Healthcare,0,1
113,35,Female,India,3.9,373.2,7.2,Good,27.5,56,Low,11.2,None,Office,0,0
114,64,Female,Brazil,0.0,0.0,7.6,Good,24.7,68,Low,13.4,Mild,Service,0,0
115,32,Male,South Korea,0.9,83.2,8.7,Excellent,22.7,56,Low,5.4,None,Office,1,1
116,38,Male,Mexico,1.8,170.7,6.1,Good,23.5,74,Low,12.7,None,Service,1,1
117,34,Female,Italy,1.3,121.5,9.8,Excellent,23.7,78,Low,4.1,None,Healthcare,1,0
118,20,Female,Canada,3.5,328.4,6.5,Good,24.0,88,Low,11.0,None,Healthcare,0,0
119,48,Male,India,1.2,111.2,8.0,Excellent,22.5,59,Low,8.7,None,Other,0,0
120,44,Other,Japan,1.0,95.8,7.5,Good,22.4,64,Low,0.5,None,Student,0,0
121,44,Male,Sweden,2.9,271.5,5.4,Fair,26.6,60,Medium,3.6,Mild,Office,0,0
122,24,Male,Switzerland,2.2,204.6,6.7,Good,24.2,80,Low,9.4,None,Healthcare,0,0
123,51,Male,Norway,4.2,397.5,8.2,Excellent,19.4,63,Low,3.1,Mild,Service,0,0
124,18,Male,Sweden,3.1,290.4,5.6,Fair,26.3,66,Medium,8.8,Mild,Other,0,1
125,42,Female,Japan,7.6,722.4,7.5,Good,20.4,73,Low,10.6,None,Office,0,1
126,61,Female,Japan,0.9,82.1,7.7,Good,31.5,60,Low,5.2,Moderate,Healthcare,0,0
127,23,Male,Canada,0.2,19.6,5.4,Fair,20.0,82,Medium,10.4,Mild,Other,1,0
128,28,Female,UK,4.6,433.5,6.3,Good,31.7,59,Low,9.6,Mild,Healthcare,1,0
129,36,Female,China,7.1,674.5,5.9,Fair,25.8,74,Medium,14.8,Mild,Healthcare,0,0
130,28,Male,UK,2.2,205.7,5.5,Fair,22.3,61,Medium,9.2,Mild,Healthcare,1,0
131,18,Female,China,2.0,192.2,7.1,Good,20.9,65,Low,4.1,None,Other,0,0
132,35,Male,Canada,2.7,255.6,5.0,Poor,26.4,71,High,3.7,Mild,Student,0,1
133,22,Female,Spain,1.2,116.0,7.9,Good,22.5,61,Low,9.9,None,Healthcare,1,0
134,40,Male,USA,0.0,0.0,5.9,Fair,21.1,50,Medium,1.6,Mild,Office,0,0
135,23,Female,Switzerland,2.9,272.1,6.2,Good,21.5,82,Low,3.4,None,Other,0,0
136,53,Male,Belgium,2.5,238.9,6.6,Good,23.9,52,Low,0.1,Mild,Healthcare,0,0
137,25,Female,Spain,0.4,40.3,8.8,Excellent,24.3,65,Low,7.7,None,Other,0,0
138,31,Female,Spain,1.6,149.5,5.2,Fair,28.8,71,Medium,11.8,Mild,Office,0,0
139,44,Male,Netherlands,0.4,37.1,6.3,Good,23.0,69,Low,7.7,None,Office,0,0
140,20,Male,Netherlands,3.1,290.4,6.7,Good,26.3,72,Low,4.3,None,Service,0,0
141,37,Male,Canada,2.5,233.7,6.6,Good,22.3,68,Low,12.6,None,Service,0,0
142,50,Female,France,2.7,260.6,6.7,Good,20.3,72,Low,7.3,None,Student,0,0
143,18,Male,UK,3.3,311.6,6.3,Good,21.1,75,Low,10.3,None,Service,0,0
144,37,Female,Germany,4.1,393.7,6.7,Good,15.0,85,Low,14.8,None,Other,1,1
145,38,Male,Spain,2.8,262.9,4.2,Poor,24.1,65,High,12.2,Mild,Service,0,0
146,44,Male,UK,3.4,325.2,8.2,Excellent,22.3,84,Low,12.8,None,Other,0,1
147,20,Male,Finland,5.2,496.7,6.1,Good,23.1,69,Low,1.8,None,Other,0,0
148,19,Male,South Korea,3.9,375.2,9.6,Excellent,21.8,77,Low,8.1,None,Student,0,0
149,41,Female,Belgium,2.8,268.6,6.2,Good,24.2,73,Low,15.0,None,Other,0,0
150,38,Female,China,2.7,259.8,7.8,Good,29.5,61,Low,4.9,None,Service,0,0
151,38,Male,Australia,1.3,119.3,5.9,Fair,26.6,55,Medium,0.6,Mild,Service,0,0
152,39,Female,Norway,1.5,145.4,6.8,Good,20.5,74,Low,0.5,None,Healthcare,0,1
153,26,Male,Switzerland,2.4,223.4,5.4,Fair,29.9,59,Medium,14.7,Mild,Student,0,1
154,37,Female,France,2.0,187.1,6.3,Good,33.8,61,Low,6.5,Mild,Office,1,1
155,38,Male,Spain,5.3,506.2,5.3,Fair,23.9,69,Medium,4.3,Mild,Office,0,1
156,26,Female,UK,3.1,290.6,7.1,Good,23.6,82,Low,7.7,None,Healthcare,0,0
157,57,Female,UK,2.9,278.9,8.5,Excellent,27.3,84,Low,9.2,Mild,Service,1,0
158,40,Male,Germany,4.3,404.7,6.9,Good,26.6,58,Low,13.2,None,Student,0,0
159,20,Female,China,2.8,263.6,10.0,Excellent,22.3,50,Low,6.6,None,Service,0,0
160,42,Male,Netherlands,2.1,198.2,7.5,Good,22.0,69,Low,12.8,None,Healthcare,0,0
161,23,Male,India,2.9,274.3,5.4,Fair,22.2,64,Medium,3.9,Mild,Office,0,0
162,44,Male,Japan,3.1,295.4,9.4,Excellent,29.0,87,Low,8.2,None,Student,0,0
163,48,Male,France,4.6,437.0,7.4,Good,22.6,79,Low,11.7,None,Service,0,0
164,25,Male,Finland,0.5,44.1,5.3,Fair,24.0,61,Medium,6.6,Mild,Other,0,0
165,46,Male,Italy,1.4,132.2,6.8,Good,28.0,57,Low,4.2,None,Other,0,0
166,39,Male,Australia,2.4,227.1,7.6,Good,29.1,75,Low,12.1,None,Other,1,1
167,44,Male,Finland,3.9,371.1,7.1,Good,20.4,65,Low,12.1,None,Office,0,0
168,57,Female,Italy,3.7,349.7,7.4,Good,19.1,63,Low,4.2,Mild,Other,0,1
169,32,Female,UK,2.7,252.9,7.8,Good,25.4,74,Low,9.1,None,Other,0,0
170,25,Male,Spain,4.0,382.8,5.7,Fair,24.4,61,Medium,3.7,Mild,Healthcare,0,0
171,24,Male,Finland,1.5,141.5,7.4,Good,27.0,73,Low,13.4,None,Healthcare,0,1
172,25,Male,Switzerland,5.3,505.9,6.5,Good,18.3,76,Low,1.1,None,Healthcare,1,0
173,34,Female,Belgium,1.2,118.4,6.5,Good,22.7,57,Low,5.7,None,Service,0,0
174,39,Female,Sweden,0.0,0.0,8.0,Excellent,24.8,74,Low,9.8,None,Other,0,0
175,38,Male,Italy,3.4,323.7,6.7,Good,20.1,71,Low,12.9,None,Office,0,0
176,44,Male,USA,0.4,33.3,8.3,Excellent,26.0,50,Low,11.9,None,Other,0,0
177,35,Male,Spain,1.7,165.0,7.1,Good,28.8,73,Low,10.3,None,Other,0,0
178,52,Male,Spain,2.3,217.1,6.3,Good,20.2,64,Low,13.9,Mild,Service,0,1
179,31,Female,USA,3.1,296.6,6.7,Good,27.2,67,Low,0.4,None,Healthcare,0,0
180,67,Female,USA,4.0,381.8,7.2,Good,23.5,78,Low,14.7,Mild,Other,1,0
181,42,Male,Norway,0.5,45.2,7.0,Good,21.6,66,Low,5.2,None,Student,1,0
182,24,Female,Japan,0.8,77.1,6.3,Good,22.2,86,Low,11.2,None,Student,0,1
183,22,Male,Norway,7.6,723.9,6.0,Good,27.7,50,Low,4.2,None,Healthcare,0,0
184,40,Male,Mexico,2.2,207.4,8.4,Excellent,22.3,72,Low,6.2,None,Healthcare,0,0
185,32,Female,India,0.0,3.3,7.8,Good,22.5,61,Low,13.1,None,Other,0,1
186,43,Female,China,1.0,93.8,7.3,Good,28.1,63,Low,6.7,None,Student,0,0
187,40,Male,China,1.7,162.3,6.5,Good,27.2,60,Low,13.3,None,Office,1,1
188,34,Male,Australia,2.5,238.2,6.9,Good,22.2,77,Low,8.2,None,Office,0,0
189,24,Female,Mexico,4.3,407.4,5.2,Fair,31.4,58,Medium,4.0,Moderate,Student,0,0
190,18,Female,Norway,5.0,470.3,6.0,Good,27.5,88,Low,7.3,None,Healthcare,0,0
191,29,Male,Norway,1.3,120.0,7.4,Good,30.2,78,Low,1.3,Mild,Service,0,0
192,45,Male,Japan,1.6,156.6,6.9,Good,31.1,63,Low,7.2,Mild,Service,0,1
193,37,Male,Sweden,2.7,258.7,6.1,Good,21.7,66,Low,11.8,None,Office,0,1
194,20,Female,Germany,1.4,134.0,5.3,Fair,21.3,79,Medium,1.0,Mild,Healthcare,0,1
195,37,Female,Norway,4.3,407.5,6.2,Good,16.7,74,Low,3.5,None,Other,0,1
196,39,Male,Switzerland,6.2,589.0,5.2,Fair,29.9,86,Medium,6.3,Mild,Student,0,0
197,24,Female,China,2.5,240.5,6.6,Good,17.4,69,Low,11.4,None,Office,0,1
198,36,Female,China,3.0,284.3,6.9,Good,25.1,81,Low,11.3,None,Service,1,0
199,35,Male,Spain,1.6,154.0,8.5,Excellent,19.4,77,Low,13.3,None,Service,0,1
200,21,Male,Belgium,3.0,285.3,7.7,Good,23.5,78,Low,2.2,None,Other,0,0
201,39,Female,Sweden,0.9,86.4,7.2,Good,23.9,68,Low,2.3,None,Other,1,0
202,41,Female,Switzerland,1.1,102.3,9.3,Excellent,31.2,75,Low,10.0,Mild,Service,0,0
203,47,Female,India,0.0,0.0,7.5,Good,26.6,65,Low,2.7,None,Healthcare,0,1
204,47,Female,India,3.7,353.8,5.6,Fair,35.7,64,Medium,6.2,Moderate,Service,1,0
205,18,Male,Finland,4.6,435.4,6.1,Good,24.8,74,Low,8.1,None,Student,0,0
206,23,Male,UK,4.0,384.4,9.5,Excellent,25.2,78,Low,3.9,None,Healthcare,0,1
207,41,Female,China,2.6,250.9,5.7,Fair,19.6,71,Medium,10.4,Mild,Other,0,0
208,41,Male,Sweden,2.0,192.9,6.3,Good,21.3,57,Low,12.9,None,Other,1,0
209,41,Female,Norway,2.4,224.3,7.8,Good,18.2,68,Low,0.2,None,Other,1,0
210,80,Female,India,1.0,92.2,5.8,Fair,23.8,73,Medium,4.3,Moderate,Student,1,1
211,41,Female,Italy,3.9,371.6,7.6,Good,20.9,87,Low,10.7,None,Other,0,0
212,48,Male,South Korea,4.1,386.9,7.8,Good,22.4,80,Low,4.1,None,Healthcare,1,0
213,46,Female,Brazil,0.9,86.1,7.2,Good,18.9,81,Low,7.8,None,Other,0,1
214,42,Female,China,1.1,104.4,8.8,Excellent,20.9,50,Low,11.3,None,Other,0,0
215,31,Female,Belgium,0.5,48.6,6.7,Good,24.1,88,Low,5.2,None,Service,1,1
216,44,Male,China,2.1,201.2,7.8,Good,16.1,75,Low,11.8,None,Service,1,0
217,25,Male,Italy,2.5,234.4,3.8,Poor,31.3,59,High,12.2,Moderate,Student,0,0
218,32,Male,USA,2.6,247.0,7.4,Good,29.4,58,Low,14.9,None,Healthcare,1,0
219,29,Male,Switzerland,0.5,47.7,8.5,Excellent,33.3,63,Low,6.5,Mild,Healthcare,0,0
220,35,Male,Sweden,1.4,133.2,7.8,Good,20.1,62,Low,7.1,None,Service,0,1
221,62,Female,Australia,1.4,133.4,6.3,Good,22.0,73,Low,11.7,Mild,Healthcare,0,0
222,18,Female,Finland,3.6,341.7,4.7,Poor,32.3,65,High,13.0,Moderate,Other,0,0
223,43,Female,India,1.0,95.6,8.2,Excellent,31.1,73,Low,7.6,Mild,Student,1,1
224,18,Female,Brazil,2.6,245.2,5.6,Fair,22.1,69,Medium,0.3,Mild,Service,0,0
225,29,Male,Canada,1.4,136.5,5.9,Fair,19.3,80,Medium,6.9,Mild,Other,0,0
226,48,Female,Finland,2.2,210.2,6.4,Good,31.4,70,Low,3.4,Mild,Service,0,1
227,35,Male,India,3.9,372.2,7.2,Good,21.1,55,Low,1.5,None,Service,0,1
228,22,Male,Norway,0.6,61.0,8.4,Excellent,26.6,59,Low,5.1,None,Student,1,0
229,26,Female,Netherlands,0.0,0.0,9.4,Excellent,26.4,75,Low,5.9,None,Student,0,1
230,43,Female,Japan,0.5,46.7,7.1,Good,22.7,85,Low,14.7,None,Service,0,0
231,26,Female,Mexico,3.1,297.0,6.9,Good,18.9,75,Low,6.8,None,Other,0,1
232,37,Male,Germany,0.7,66.9,7.5,Good,28.3,91,Low,14.5,None,Office,0,0
233,35,Female,Spain,1.4,135.9,6.3,Good,18.6,50,Low,11.0,None,Other,1,0
234,27,Male,Australia,3.2,302.2,7.4,Good,18.0,73,Low,3.8,None,Healthcare,0,0
235,60,Male,UK,3.7,352.1,5.8,Fair,24.2,56,Medium,10.5,Moderate,Service,1,0
236,42,Female,Netherlands,4.0,384.7,7.8,Good,18.5,78,Low,6.0,None,Service,0,1
237,18,Female,Netherlands,3.3,316.4,5.4,Fair,25.5,84,Medium,8.7,Mild,Student,0,1
238,37,Female,Netherlands,0.8,77.1,8.0,Excellent,30.0,56,Low,7.8,Mild,Healthcare,0,1
239,27,Female,Brazil,4.9,466.4,7.4,Good,28.2,83,Low,14.0,None,Office,0,0
240,45,Female,Sweden,1.1,103.1,5.0,Fair,30.8,89,Medium,1.9,Moderate,Office,0,0
241,25,Female,Norway,1.5,146.8,7.2,Good,27.2,62,Low,6.7,None,Student,0,1
242,33,Female,USA,2.5,236.7,8.6,Excellent,22.8,88,Low,1.2,None,Office,0,0
243,41,Female,Japan,2.9,277.2,6.9,Good,18.7,63,Low,3.8,None,Service,0,0
244,45,Female,Mexico,4.7,442.5,6.5,Good,19.4,74,Low,1.2,None,Office,0,1
245,20,Other,China,1.6,147.3,6.3,Good,26.8,96,Low,14.1,None,Office,0,0
246,30,Male,Belgium,3.1,291.7,7.2,Good,27.0,66,Low,4.7,None,Other,1,0
247,29,Female,Brazil,1.6,148.1,6.4,Good,21.2,67,Low,11.7,None,Office,0,0
248,27,Female,Canada,4.9,466.6,6.9,Good,23.2,71,Low,11.2,None,Other,0,0
249,56,Male,Germany,3.1,298.4,7.5,Good,26.7,67,Low,2.1,Mild,Healthcare,1,0
250,39,Female,South Korea,4.4,421.2,6.8,Good,22.2,90,Low,2.1,None,Other,0,1
251,19,Male,Switzerland,0.8,73.2,8.3,Excellent,31.2,71,Low,5.7,Mild,Healthcare,0,0
252,46,Female,Australia,1.7,157.5,7.3,Good,25.2,89,Low,8.5,None,Student,0,1
253,60,Female,Spain,2.9,272.9,6.2,Good,27.0,81,Low,6.4,Mild,Service,0,0
254,47,Male,Mexico,4.5,423.5,4.3,Poor,23.7,60,High,11.5,Mild,Student,0,1
255,18,Male,Finland,4.0,378.9,5.9,Fair,25.7,81,Medium,8.0,Mild,Student,0,0
256,29,Female,China,4.8,451.3,6.2,Good,18.0,71,Low,13.2,None,Student,0,1
257,50,Male,Finland,4.5,428.6,7.1,Good,23.9,72,Low,8.9,None,Healthcare,0,0
258,26,Male,Belgium,3.7,348.5,4.3,Poor,20.9,90,High,8.9,Mild,Office,0,0
259,40,Male,Brazil,2.7,259.4,4.5,Poor,34.0,66,High,9.9,Moderate,Other,0,0
260,44,Female,UK,0.8,78.6,4.7,Poor,24.7,69,High,9.0,Mild,Student,0,0
261,23,Female,Mexico,0.0,0.0,7.0,Good,23.3,86,Low,9.2,None,Student,0,0
262,34,Female,Brazil,2.7,255.2,5.1,Fair,25.6,69,Medium,6.7,Mild,Office,0,0
263,18,Male,Australia,3.7,351.9,7.1,Good,25.3,75,Low,1.4,None,Student,0,0
264,22,Female,Sweden,0.0,0.0,6.6,Good,24.0,66,Low,5.5,None,Healthcare,0,1
265,31,Female,UK,0.7,70.2,5.1,Fair,26.7,67,Medium,11.5,Mild,Healthcare,0,1
266,20,Male,France,1.0,92.6,8.2,Excellent,26.3,64,Low,0.6,None,Office,0,0
267,54,Female,Australia,2.2,210.8,6.7,Good,24.3,58,Low,10.4,Mild,Healthcare,0,0
268,18,Female,Switzerland,2.7,252.2,8.0,Good,30.1,64,Low,14.7,Mild,Student,0,0
269,29,Female,India,4.1,391.6,6.5,Good,17.6,75,Low,6.5,None,Student,0,0
270,36,Male,Brazil,0.5,50.0,8.9,Excellent,22.3,60,Low,3.2,None,Service,0,0
271,52,Male,Italy,3.0,286.6,7.4,Good,22.4,69,Low,0.3,Mild,Service,1,0
272,18,Male,Switzerland,0.4,39.8,5.4,Fair,23.9,80,Medium,12.8,Mild,Office,0,0
273,48,Male,USA,3.8,356.6,5.9,Fair,22.9,72,Medium,2.2,Mild,Student,0,1
274,35,Female,France,1.8,168.9,6.0,Good,21.8,93,Low,0.6,None,Student,0,1
275,23,Male,Belgium,0.7,64.8,4.3,Poor,29.0,76,High,7.3,Mild,Other,0,1
276,40,Female,USA,1.5,141.7,7.9,Good,20.0,52,Low,5.7,None,Healthcare,1,0
277,37,Male,USA,0.8,78.6,7.5,Good,25.9,60,Low,14.4,None,Office,0,0
278,27,Male,France,2.6,250.6,8.4,Excellent,21.9,50,Low,6.9,None,Office,1,0
279,35,Female,Spain,3.4,326.4,4.6,Poor,25.5,69,High,12.5,Mild,Healthcare,0,0
280,30,Male,Canada,4.0,384.4,5.1,Fair,29.3,85,Medium,14.0,Mild,Other,0,1
281,36,Female,South Korea,1.7,163.6,5.7,Fair,15.0,73,Medium,2.8,Mild,Service,1,0
282,42,Male,Netherlands,4.6,435.3,8.2,Excellent,20.7,65,Low,5.2,None,Other,0,0
283,54,Male,South Korea,2.5,234.0,8.4,Excellent,20.7,87,Low,13.8,Mild,Service,0,0
284,20,Female,India,4.4,417.8,4.9,Poor,23.4,63,High,8.3,Mild,Service,0,1
285,60,Female,Australia,2.3,215.1,7.2,Good,27.7,78,Low,4.8,Mild,Other,0,1
286,18,Male,Netherlands,2.2,204.6,7.5,Good,31.4,63,Low,7.8,Mild,Office,1,0
287,33,Male,Brazil,3.4,319.9,6.4,Good,27.6,76,Low,11.0,None,Student,0,0
288,42,Female,Belgium,3.0,281.4,9.0,Excellent,23.4,66,Low,9.3,None,Office,0,1
289,38,Female,Japan,1.7,158.5,3.9,Poor,21.9,59,High,14.0,Mild,Student,0,1
290,27,Female,Sweden,4.2,402.1,4.1,Poor,30.1,56,High,14.4,Moderate,Office,0,0
291,32,Male,Finland,1.1,101.2,7.1,Good,18.0,75,Low,10.7,None,Other,0,1
292,29,Other,Canada,3.4,319.9,5.1,Fair,25.6,80,Medium,10.0,Mild,Other,1,0
293,27,Male,Canada,3.3,313.7,7.7,Good,28.8,77,Low,0.2,None,Other,0,1
294,45,Male,Norway,4.1,389.2,4.6,Poor,22.8,72,High,11.8,Mild,Student,0,0
295,39,Female,South Korea,4.1,392.0,7.2,Good,25.3,55,Low,7.5,None,Office,0,1
296,26,Male,Australia,2.2,211.6,6.7,Good,18.6,72,Low,13.1,None,Service,1,0
297,45,Male,Italy,2.5,242.2,8.9,Excellent,26.0,72,Low,14.0,None,Office,0,1
298,38,Male,Canada,2.4,232.6,5.7,Fair,24.3,91,Medium,5.5,Mild,Office,0,0
299,44,Male,Japan,5.1,486.2,8.2,Excellent,26.2,67,Low,13.6,None,Healthcare,0,0
300,42,Female,Canada,3.5,330.3,7.5,Good,22.2,67,Low,9.9,None,Office,0,0
301,25,Female,Belgium,4.1,386.2,5.3,Fair,19.6,74,Medium,6.4,Mild,Service,1,0
302,28,Male,Australia,2.1,201.7,5.6,Fair,28.4,70,Medium,0.8,Mild,Office,0,0
303,43,Female,Germany,0.8,76.9,8.3,Excellent,28.5,69,Low,11.1,None,Healthcare,0,0
304,42,Female,Sweden,1.1,104.2,7.1,Good,26.3,58,Low,13.4,None,Healthcare,0,0
305,34,Female,Japan,4.0,381.8,6.3,Good,25.6,76,Low,8.7,None,Service,1,1
306,36,Male,India,1.4,133.2,9.0,Excellent,15.0,69,Low,6.0,None,Office,1,1
307,50,Other,Netherlands,7.3,692.8,6.9,Good,28.8,60,Low,6.8,None,Other,0,0
308,27,Female,India,1.9,179.7,5.8,Fair,25.9,65,Medium,10.6,Mild,Other,0,0
309,41,Male,Sweden,3.0,287.5,5.9,Fair,29.1,59,Medium,3.0,Mild,Healthcare,0,0
310,32,Male,Netherlands,3.0,287.3,7.1,Good,19.3,70,Low,3.1,None,Service,0,0
311,32,Male,UK,2.8,263.1,6.9,Good,26.6,85,Low,5.2,None,Other,0,0
312,48,Female,Germany,0.7,63.7,7.8,Good,26.4,62,Low,0.4,None,Healthcare,0,0
313,44,Male,France,2.9,272.8,7.6,Good,15.0,70,Low,10.0,None,Healthcare,0,1
314,44,Female,Belgium,2.9,271.6,8.5,Excellent,23.6,71,Low,6.7,None,Office,0,1
315,50,Male,Germany,2.1,194.8,6.2,Good,24.0,84,Low,13.4,None,Service,0,0
316,35,Female,India,5.3,501.3,9.1,Excellent,20.1,72,Low,9.7,None,Other,0,1
317,43,Male,Brazil,0.0,0.7,8.1,Excellent,25.9,58,Low,10.6,None,Office,0,0
318,31,Female,India,0.2,22.1,7.3,Good,24.9,95,Low,10.1,None,Student,0,1
319,38,Female,Australia,3.6,344.9,6.3,Good,21.4,82,Low,6.3,None,Service,0,0
320,33,Male,South Korea,2.4,225.1,7.1,Good,21.9,50,Low,14.0,None,Healthcare,1,1
321,36,Male,Sweden,1.2,112.1,4.7,Poor,17.3,73,High,13.7,Mild,Office,0,0
322,42,Male,UK,2.8,265.3,6.5,Good,25.8,82,Low,7.2,None,Other,0,1
323,25,Female,China,3.9,374.2,8.0,Excellent,25.3,72,Low,11.7,None,Healthcare,0,0
324,60,Female,China,0.1,5.1,6.5,Good,23.5,73,Low,14.8,Mild,Healthcare,0,0
325,22,Male,Brazil,3.6,340.5,4.2,Poor,22.9,71,High,5.0,Mild,Other,0,1
326,20,Male,Norway,3.0,284.6,5.0,Poor,27.0,66,High,9.4,Mild,Student,0,1
327,48,Male,UK,2.2,204.8,6.3,Good,24.6,58,Low,8.5,None,Service,0,0
328,44,Female,Finland,2.9,272.5,7.0,Good,27.3,67,Low,8.1,None,Service,0,0
329,42,Female,USA,2.9,274.9,5.6,Fair,24.8,50,Medium,14.0,Mild,Healthcare,0,0
330,42,Female,Finland,3.3,315.9,4.9,Poor,27.7,89,High,1.9,Mild,Office,0,0
331,34,Male,Belgium,1.0,97.1,6.0,Fair,27.4,70,Medium,7.7,Mild,Student,0,0
332,24,Male,India,4.1,392.5,8.7,Excellent,27.8,59,Low,0.4,None,Student,0,1
333,35,Female,Norway,4.0,378.9,9.6,Excellent,21.6,72,Low,4.6,None,Healthcare,0,1
334,26,Male,Norway,4.0,383.1,7.0,Good,26.7,84,Low,10.1,None,Office,0,0
335,46,Female,USA,0.0,0.0,7.3,Good,24.0,76,Low,11.7,None,Other,0,1
336,33,Male,France,4.2,400.6,7.7,Good,23.5,61,Low,12.8,None,Other,0,1
337,25,Male,Netherlands,1.9,184.9,5.1,Fair,22.1,67,Medium,1.1,Mild,Healthcare,0,0
338,31,Female,Sweden,3.3,313.1,5.8,Fair,25.3,80,Medium,2.8,Mild,Office,1,0
339,39,Other,Switzerland,0.0,0.0,4.5,Poor,16.2,62,High,6.0,Mild,Student,0,0
340,28,Female,China,1.5,140.1,7.3,Good,25.4,74,Low,5.7,None,Student,0,1
341,25,Male,Canada,3.8,357.3,6.4,Good,25.4,66,Low,3.8,None,Student,1,0
342,37,Male,Finland,3.3,312.5,5.6,Fair,28.3,70,Medium,14.1,Mild,Service,0,0
343,37,Female,Switzerland,0.9,83.6,9.2,Excellent,24.5,81,Low,8.0,None,Student,0,0
344,28,Female,Switzerland,3.5,334.4,8.0,Good,29.5,65,Low,9.9,None,Other,1,1
345,29,Female,Belgium,1.3,121.2,6.8,Good,22.4,53,Low,11.2,None,Office,0,0
346,37,Male,India,2.1,199.6,5.7,Fair,22.0,93,Medium,8.2,Mild,Student,1,0
347,18,Female,China,0.7,70.8,7.3,Good,30.4,67,Low,12.5,Mild,Healthcare,0,0
348,18,Female,Mexico,3.0,286.4,6.7,Good,21.7,74,Low,14.8,None,Healthcare,1,0
349,26,Female,UK,4.1,392.4,5.8,Fair,15.1,93,Medium,5.9,Mild,Other,0,0
350,32,Female,UK,3.8,363.6,5.3,Fair,30.5,77,Medium,9.7,Moderate,Student,0,1
351,38,Male,Brazil,1.1,108.2,7.1,Good,30.8,69,Low,4.8,Mild,Other,0,0
352,52,Female,Canada,2.4,230.9,6.9,Good,23.4,71,Low,1.0,Mild,Other,0,0
353,45,Female,Australia,0.1,13.4,5.7,Fair,23.8,89,Medium,0.4,Mild,Other,1,0
354,33,Female,Australia,4.5,431.9,4.0,Poor,22.0,81,High,3.5,Mild,Service,0,0
355,34,Female,Netherlands,2.5,240.2,6.2,Good,31.5,66,Low,2.4,Mild,Student,0,1
356,22,Female,Brazil,3.5,330.1,4.8,Poor,30.2,80,High,10.8,Moderate,Healthcare,0,0
357,34,Female,South Korea,2.8,265.9,5.6,Fair,21.8,65,Medium,7.0,Mild,Service,0,1
358,31,Male,Netherlands,1.6,148.3,6.1,Good,24.6,73,Low,8.1,None,Other,1,0
359,38,Male,Spain,1.7,158.6,7.3,Good,31.2,77,Low,1.2,Mild,Healthcare,0,0
360,25,Male,Canada,3.2,302.4,5.8,Fair,32.2,64,Medium,0.3,Moderate,Other,0,1
361,41,Male,France,5.0,470.8,6.6,Good,25.7,67,Low,6.5,None,Service,1,1
362,53,Male,Canada,2.0,188.6,5.6,Fair,26.3,65,Medium,3.8,Moderate,Office,0,0
363,33,Male,Japan,4.3,404.8,6.8,Good,24.2,60,Low,9.3,None,Other,0,0
364,39,Male,Norway,3.9,369.0,6.0,Good,22.1,72,Low,7.7,None,Other,0,0
365,43,Male,Italy,2.0,192.0,7.0,Good,26.9,70,Low,12.4,None,Healthcare,0,1
366,30,Male,Sweden,4.2,394.3,7.9,Good,30.9,74,Low,12.6,Mild,Healthcare,1,0
367,37,Male,India,4.0,382.7,6.2,Good,21.0,75,Low,8.1,None,Other,0,0
368,35,Female,UK,0.0,0.0,6.8,Good,25.4,64,Low,13.6,None,Student,1,0
369,36,Female,Japan,3.6,337.5,7.0,Good,25.2,80,Low,14.0,None,Healthcare,0,0
370,25,Male,Italy,4.4,420.0,7.0,Good,19.2,73,Low,3.7,None,Office,0,0
371,35,Female,France,0.7,71.1,4.0,Poor,24.7,55,High,14.7,Mild,Office,0,0
372,40,Female,Canada,0.5,50.3,5.5,Fair,23.9,73,Medium,14.8,Mild,Other,0,1
373,52,Male,Australia,2.8,267.1,6.9,Good,22.8,64,Low,1.0,Mild,Healthcare,1,1
374,46,Female,Switzerland,4.9,462.5,8.2,Excellent,30.2,50,Low,0.0,Mild,Office,1,0
375,60,Female,Sweden,0.9,82.5,5.1,Fair,22.9,88,Medium,0.9,Moderate,Service,1,0
376,25,Female,India,0.1,12.7,6.3,Good,21.0,51,Low,5.2,None,Office,0,1
377,45,Male,Germany,1.8,172.9,7.0,Good,27.3,61,Low,12.1,None,Healthcare,1,0
378,37,Female,Belgium,1.6,153.0,5.6,Fair,25.7,68,Medium,7.6,Mild,Other,0,0
379,61,Male,Mexico,0.0,0.0,7.6,Good,24.9,71,Low,4.4,Mild,Office,1,1
380,25,Female,Germany,1.6,154.3,7.6,Good,27.4,72,Low,0.8,None,Other,0,0
381,24,Other,Finland,3.0,287.2,7.1,Good,24.1,67,Low,5.9,None,Service,0,0
382,27,Female,Sweden,5.3,502.0,6.4,Good,23.3,56,Low,0.5,None,Office,1,1
383,18,Female,Spain,3.3,317.5,5.3,Fair,21.6,76,Medium,2.6,Mild,Other,0,0
384,28,Male,Australia,3.7,352.4,6.1,Good,28.0,61,Low,13.2,None,Office,0,1
385,25,Other,Brazil,0.9,82.4,8.4,Excellent,30.3,75,Low,11.4,Mild,Office,0,0
386,36,Female,Australia,2.4,224.0,7.1,Good,33.9,77,Low,14.9,Mild,Healthcare,0,1
387,39,Male,Switzerland,2.2,206.1,3.9,Poor,27.3,71,High,13.4,Mild,Healthcare,0,0
388,57,Female,Italy,3.0,283.9,7.5,Good,31.7,60,Low,12.8,Moderate,Student,0,0
389,46,Male,China,3.4,322.5,7.0,Good,22.0,67,Low,2.6,None,Healthcare,0,0
390,28,Male,Sweden,3.9,373.3,6.0,Fair,21.0,90,Medium,9.7,Mild,Healthcare,1,0
391,24,Female,Netherlands,2.5,242.0,6.4,Good,19.8,69,Low,9.0,None,Student,0,1
392,40,Male,South Korea,1.7,163.0,6.0,Good,24.6,55,Low,13.8,None,Student,1,1
393,19,Female,Australia,4.3,411.9,6.4,Good,23.2,78,Low,11.7,None,Office,0,0
394,56,Male,China,3.6,340.8,6.5,Good,31.3,64,Low,11.6,Moderate,Office,0,0
395,49,Male,USA,3.4,325.6,6.2,Good,23.0,83,Low,4.9,None,Office,0,0
396,29,Female,Norway,2.4,231.9,6.9,Good,23.3,50,Low,1.9,None,Healthcare,0,1
397,18,Male,China,4.3,410.8,6.2,Good,27.9,75,Low,5.5,None,Other,1,0
398,51,Female,Switzerland,0.6,58.4,8.1,Excellent,29.0,90,Low,3.1,Mild,Other,0,0
399,33,Female,India,3.8,364.8,7.4,Good,26.7,79,Low,10.9,None,Healthcare,1,0
400,49,Female,Belgium,3.8,364.0,4.8,Poor,27.7,78,High,6.9,Mild,Service,0,0
401,18,Female,Netherlands,1.1,109.1,7.3,Good,27.7,62,Low,3.5,None,Office,0,0
402,27,Female,Mexico,1.5,140.5,6.4,Good,32.5,60,Low,9.9,Mild,Healthcare,0,0
403,35,Male,Germany,0.6,54.4,5.8,Fair,17.1,65,Medium,1.0,Mild,Service,1,0
404,35,Female,Japan,3.3,310.2,6.9,Good,22.0,77,Low,13.8,None,Office,0,1
405,29,Male,Canada,0.0,0.0,7.5,Good,30.7,67,Low,8.7,Mild,Student,0,1
406,42,Female,China,2.8,269.3,9.9,Excellent,24.2,55,Low,6.9,None,Healthcare,0,0
407,22,Female,Australia,1.4,128.7,4.1,Poor,27.5,77,High,3.7,Mild,Service,1,0
408,33,Female,Netherlands,1.0,97.2,6.3,Good,15.0,71,Low,8.2,None,Other,0,1
409,36,Female,Netherlands,0.0,0.0,10.0,Excellent,21.5,73,Low,4.3,None,Healthcare,0,0
410,41,Female,Brazil,1.2,111.2,5.9,Fair,17.1,66,Medium,5.9,Mild,Other,0,0
411,43,Female,Australia,4.6,441.2,6.7,Good,21.6,72,Low,13.3,None,Service,0,1
412,21,Female,Germany,1.4,135.0,7.0,Good,23.0,76,Low,2.9,None,Healthcare,1,0
413,18,Male,Australia,3.1,297.3,6.6,Good,25.5,67,Low,5.2,None,Healthcare,1,0
414,50,Male,Brazil,0.9,82.0,6.2,Good,29.6,61,Low,9.8,None,Healthcare,1,0
415,38,Male,Switzerland,4.0,383.7,5.8,Fair,27.2,58,Medium,10.9,Mild,Healthcare,0,0
416,26,Female,Norway,3.4,323.7,6.9,Good,26.8,71,Low,1.7,None,Student,0,0
417,53,Male,South Korea,2.2,205.0,6.4,Good,22.4,72,Low,14.0,Mild,Healthcare,0,0
418,36,Male,USA,2.8,270.5,6.9,Good,19.5,79,Low,0.4,None,Service,0,0
419,49,Male,Australia,3.0,282.8,7.1,Good,23.7,78,Low,1.0,None,Service,0,1
420,35,Female,Brazil,1.0,94.9,8.0,Excellent,20.9,70,Low,11.4,None,Student,0,1
421,59,Female,India,1.3,121.6,8.1,Excellent,20.5,72,Low,11.6,Mild,Healthcare,0,0
422,56,Male,Switzerland,3.9,368.3,6.6,Good,18.4,89,Low,10.0,Mild,Healthcare,0,1
423,32,Male,China,4.8,457.9,4.9,Poor,24.4,78,High,7.8,Mild,Office,1,0
424,46,Male,Finland,2.7,258.4,8.1,Excellent,24.8,73,Low,4.3,None,Office,0,0
425,42,Male,India,3.5,336.2,6.9,Good,29.0,61,Low,12.6,None,Other,0,0
426,51,Male,Canada,4.3,409.1,7.4,Good,29.2,67,Low,10.5,Mild,Student,0,0
427,23,Female,Mexico,2.0,191.2,7.3,Good,26.7,55,Low,14.5,None,Office,0,1
428,43,Other,Canada,2.4,226.6,6.4,Good,35.5,74,Low,6.8,Mild,Service,1,1
429,47,Male,Switzerland,3.6,339.3,6.1,Good,21.7,64,Low,7.1,None,Service,0,0
430,18,Male,Italy,5.8,548.6,8.1,Excellent,22.8,62,Low,11.9,None,Service,0,0
431,20,Male,Finland,3.6,344.3,6.6,Good,23.3,75,Low,14.9,None,Student,0,0
432,18,Male,Japan,3.0,280.8,6.5,Good,23.1,82,Low,13.4,None,Service,0,0
433,31,Male,Norway,1.6,153.8,5.8,Fair,17.6,64,Medium,4.5,Mild,Office,0,1
434,43,Male,Norway,2.4,229.2,6.4,Good,21.8,67,Low,14.3,None,Office,0,0
435,53,Male,Spain,3.5,335.5,7.7,Good,25.8,68,Low,3.0,Mild,Other,0,0
436,35,Female,UK,3.4,320.3,6.6,Good,28.6,85,Low,6.3,None,Other,0,1
437,54,Female,India,1.6,152.1,8.4,Excellent,19.0,59,Low,13.3,Mild,Student,0,0
438,18,Female,Norway,4.5,424.2,6.8,Good,19.5,50,Low,4.7,None,Other,1,1
439,18,Male,Italy,4.5,424.3,6.5,Good,20.3,76,Low,5.3,None,Student,0,0
440,34,Female,Japan,2.3,221.7,6.2,Good,26.1,50,Low,14.9,None,Healthcare,1,1
441,39,Female,South Korea,2.9,277.4,6.7,Good,20.4,61,Low,6.8,None,Other,0,0
442,34,Male,Belgium,1.5,146.2,5.8,Fair,18.7,90,Medium,14.2,Mild,Student,0,0
443,18,Male,Norway,1.3,122.3,7.6,Good,18.6,69,Low,4.1,None,Office,0,1
444,33,Female,Germany,3.0,287.0,6.5,Good,23.2,75,Low,7.5,None,Other,0,0
445,19,Male,Norway,1.3,126.3,6.6,Good,24.2,79,Low,5.7,None,Other,0,0
446,43,Male,Norway,3.5,329.9,6.2,Good,27.5,56,Low,8.5,None,Student,0,1
447,39,Female,Japan,1.9,180.9,7.6,Good,27.0,73,Low,13.5,None,Healthcare,0,0
448,23,Female,France,4.1,387.1,5.7,Fair,28.5,54,Medium,14.9,Mild,Other,0,0
449,28,Male,France,2.4,225.3,7.9,Good,24.1,63,Low,7.5,None,Student,0,1
450,22,Female,UK,0.0,0.0,6.5,Good,20.8,69,Low,2.6,None,Healthcare,0,0
451,34,Female,USA,1.9,184.5,7.5,Good,25.3,61,Low,0.8,None,Student,0,0
452,46,Male,Norway,2.7,252.7,6.1,Good,19.0,70,Low,2.4,None,Healthcare,0,0
453,23,Female,Netherlands,0.0,0.0,6.4,Good,26.1,78,Low,11.2,None,Service,1,1
454,41,Male,Canada,0.0,3.7,8.8,Excellent,25.7,61,Low,8.9,None,Other,0,1
455,28,Male,Australia,2.2,210.8,7.5,Good,29.1,76,Low,11.2,None,Service,1,1
456,25,Female,Italy,4.0,380.7,6.6,Good,28.1,61,Low,14.3,None,Student,0,1
457,33,Male,Switzerland,3.4,327.5,4.8,Poor,26.3,83,High,10.6,Mild,Service,1,1
458,22,Male,USA,2.5,235.4,7.2,Good,17.3,78,Low,11.7,None,Healthcare,0,0
459,28,Male,Belgium,1.2,116.0,8.1,Excellent,22.4,77,Low,6.4,None,Office,0,0
460,20,Female,UK,1.1,109.1,7.1,Good,26.7,79,Low,7.7,None,Service,0,1
461,58,Female,UK,3.5,330.0,6.5,Good,30.1,92,Low,12.3,Moderate,Student,0,0
462,35,Male,India,2.8,265.7,6.8,Good,26.9,73,Low,9.6,None,Other,0,0
463,26,Female,Switzerland,3.8,359.3,7.0,Good,18.9,62,Low,8.0,None,Service,1,0
464,37,Male,Sweden,4.3,409.1,5.7,Fair,30.9,78,Medium,3.3,Moderate,Service,0,1
465,33,Female,China,1.8,172.8,6.7,Good,24.6,72,Low,9.0,None,Office,1,0
466,32,Male,Finland,3.2,300.2,6.7,Good,26.3,73,Low,4.4,None,Student,0,1
467,42,Female,Netherlands,3.4,319.0,7.7,Good,26.6,74,Low,8.9,None,Service,0,1
468,44,Other,China,1.5,138.1,4.2,Poor,21.6,53,High,7.0,Mild,Other,0,0
469,28,Female,China,1.5,145.6,8.0,Good,20.9,61,Low,1.5,None,Healthcare,0,0
470,28,Male,South Korea,3.6,340.5,4.6,Poor,25.2,57,High,12.9,Mild,Other,0,0
471,31,Female,Germany,2.5,237.7,5.8,Fair,21.0,94,Medium,8.7,Mild,Service,0,1
472,18,Male,Norway,1.2,113.1,6.8,Good,22.0,90,Low,13.5,None,Service,0,0
473,18,Female,UK,1.3,120.8,7.7,Good,22.9,94,Low,13.9,None,Office,1,1
474,51,Male,Sweden,0.6,54.6,8.2,Excellent,16.9,87,Low,7.8,Mild,Student,0,0
475,54,Male,Australia,2.0,186.4,5.9,Fair,26.9,70,Medium,10.2,Moderate,Office,0,1
476,32,Male,Belgium,1.0,90.9,7.6,Good,29.1,59,Low,13.4,None,Other,0,1
477,41,Male,Australia,2.7,252.1,5.6,Fair,26.4,72,Medium,10.2,Mild,Student,0,0
478,38,Female,Australia,5.9,562.6,4.8,Poor,16.2,91,High,3.7,Mild,Office,0,0
479,71,Female,India,3.2,303.1,8.4,Excellent,25.8,74,Low,3.9,Mild,Service,1,0
480,48,Female,Australia,4.1,389.6,8.2,Excellent,28.7,72,Low,6.3,None,Student,0,1
481,33,Female,China,3.1,294.6,6.2,Good,22.4,73,Low,0.6,None,Healthcare,0,1
482,23,Female,UK,0.0,2.5,5.3,Fair,25.4,70,Medium,5.6,Mild,Healthcare,0,0
483,18,Male,Switzerland,2.7,255.5,5.3,Fair,26.5,70,Medium,2.2,Mild,Other,0,0
484,37,Male,Sweden,1.5,140.2,8.1,Excellent,20.9,67,Low,12.4,None,Office,0,0
485,25,Male,Netherlands,1.3,120.0,7.3,Good,20.7,84,Low,11.7,None,Other,0,0
486,18,Male,Mexico,2.2,205.2,5.4,Fair,16.2,61,Medium,2.6,Mild,Healthcare,0,0
487,27,Male,Canada,3.4,327.4,6.7,Good,21.9,73,Low,4.3,None,Service,1,0
488,22,Male,Norway,2.0,194.0,5.8,Fair,20.6,66,Medium,8.5,Mild,Service,0,1
489,55,Male,France,3.8,359.9,4.6,Poor,23.1,60,High,3.7,Moderate,Service,0,0
490,45,Male,Canada,2.8,263.6,5.3,Fair,27.8,65,Medium,0.8,Mild,Service,0,0
491,34,Female,USA,3.0,282.7,7.8,Good,27.3,62,Low,11.5,None,Service,1,0
492,52,Male,Mexico,2.4,229.1,4.6,Poor,19.4,59,High,1.4,Moderate,Healthcare,0,0
493,35,Female,Canada,4.4,420.7,6.2,Good,22.8,75,Low,10.2,None,Student,0,0
494,24,Female,Netherlands,1.4,137.6,5.5,Fair,24.5,85,Medium,2.2,Mild,Service,0,0
495,53,Female,Spain,1.5,145.7,8.2,Excellent,15.0,61,Low,0.1,Mild,Student,0,0
496,41,Male,Italy,2.0,192.2,6.5,Good,23.8,66,Low,8.4,None,Service,0,1
497,22,Male,Finland,3.3,309.1,7.7,Good,23.1,68,Low,4.3,None,Other,1,0
498,32,Male,Italy,3.5,328.3,5.6,Fair,23.1,74,Medium,2.0,Mild,Office,0,0
499,24,Male,Netherlands,1.7,157.7,7.0,Good,25.3,73,Low,10.3,None,Student,0,1
500,18,Male,Germany,3.8,365.3,5.6,Fair,19.5,78,Medium,9.7,Mild,Office,0,0
501,46,Female,Norway,1.0,97.8,5.2,Fair,26.0,58,Medium,6.2,Mild,Healthcare,0,1
502,57,Female,Canada,3.6,339.1,5.4,Fair,24.7,55,Medium,1.3,Moderate,Other,0,0
503,18,Female,Brazil,3.0,288.5,6.0,Good,30.0,62,Low,7.0,None,Service,0,0
504,41,Male,Brazil,2.5,240.0,5.1,Fair,24.0,64,Medium,1.6,Mild,Service,0,0
505,27,Male,Netherlands,3.2,304.9,7.5,Good,29.7,66,Low,14.9,None,Healthcare,0,0
506,29,Female,UK,2.3,220.5,5.6,Fair,30.1,60,Medium,3.5,Moderate,Student,0,1
507,27,Male,Brazil,2.9,273.9,7.8,Good,25.5,71,Low,0.0,None,Service,0,0
508,24,Female,Norway,6.1,580.4,5.2,Fair,23.7,76,Medium,3.3,Mild,Student,0,1
509,35,Female,China,3.8,364.9,6.0,Fair,21.3,80,Medium,9.3,Mild,Service,0,1
510,25,Male,India,1.7,160.2,5.8,Fair,25.2,62,Medium,14.6,Mild,Student,0,0
511,38,Male,Mexico,2.0,194.0,6.7,Good,31.2,71,Low,7.9,Mild,Office,0,0
512,34,Male,South Korea,4.3,409.7,5.4,Fair,25.2,82,Medium,6.7,Mild,Student,0,0
513,32,Male,Japan,1.9,181.2,5.6,Fair,25.5,53,Medium,14.9,Mild,Healthcare,0,0
514,24,Male,Japan,5.1,479.9,8.0,Excellent,30.2,66,Low,2.5,Mild,Service,0,0
515,28,Male,Finland,3.6,346.6,7.9,Good,31.4,58,Low,3.0,Mild,Other,0,0
516,44,Male,Belgium,0.5,44.3,9.3,Excellent,24.0,73,Low,5.7,None,Student,0,0
517,41,Female,Italy,3.8,361.2,6.3,Good,25.7,90,Low,11.2,None,Other,0,0
518,23,Female,Brazil,0.0,0.0,4.7,Poor,20.6,63,High,4.5,Mild,Student,0,1
519,36,Male,India,2.0,187.9,6.6,Good,25.0,84,Low,7.0,None,Office,0,1
520,44,Female,Finland,3.8,359.4,5.5,Fair,26.2,81,Medium,14.1,Mild,Other,0,1
521,18,Female,Spain,0.0,0.0,6.4,Good,24.0,70,Low,13.1,None,Healthcare,0,1
522,41,Female,China,5.5,526.7,6.1,Good,21.5,68,Low,14.2,None,Other,1,1
523,27,Female,India,4.0,375.5,8.5,Excellent,20.8,66,Low,2.5,None,Student,0,0
524,41,Male,Germany,1.0,98.0,7.0,Good,27.8,87,Low,7.2,None,Healthcare,0,1
525,25,Male,South Korea,4.8,454.1,8.8,Excellent,25.8,64,Low,10.7,None,Office,0,0
526,18,Female,India,0.0,0.0,6.2,Good,24.3,74,Low,11.0,None,Other,0,0
527,18,Female,Switzerland,1.0,93.9,8.6,Excellent,18.7,62,Low,8.3,None,Healthcare,0,1
528,35,Female,Australia,0.4,35.8,7.1,Good,23.9,54,Low,12.3,None,Other,1,0
529,38,Other,China,0.0,0.0,4.5,Poor,22.7,61,High,0.6,Mild,Office,0,0
530,24,Female,Netherlands,2.0,190.0,6.9,Good,18.4,86,Low,3.0,None,Office,0,1
531,42,Male,Spain,2.8,264.7,7.4,Good,28.0,84,Low,4.9,None,Office,0,0
532,18,Male,China,2.7,260.5,4.6,Poor,27.0,66,High,10.9,Mild,Office,0,0
533,34,Male,Norway,2.7,256.1,6.3,Good,24.8,98,Low,13.5,None,Healthcare,0,1
534,20,Female,Canada,2.6,245.0,6.0,Fair,18.0,85,Medium,7.9,Mild,Healthcare,0,1
535,27,Female,Switzerland,0.7,69.1,8.1,Excellent,27.6,63,Low,10.6,None,Office,0,0
536,35,Female,Australia,1.7,165.9,6.2,Good,24.8,68,Low,8.9,None,Student,0,1
537,24,Female,UK,0.0,0.0,6.5,Good,24.6,67,Low,13.9,None,Healthcare,0,1
538,30,Female,Netherlands,4.1,391.3,5.3,Fair,24.8,65,Medium,13.5,Mild,Office,0,0
539,47,Female,Norway,2.6,251.0,5.5,Fair,21.0,77,Medium,12.1,Mild,Healthcare,0,0
540,28,Female,Japan,2.6,247.2,5.4,Fair,24.1,74,Medium,4.2,Mild,Other,0,1
541,45,Male,Australia,3.7,348.6,5.0,Fair,28.5,77,Medium,5.6,Mild,Student,0,0
542,21,Female,Brazil,3.8,358.8,4.9,Poor,17.9,77,High,6.2,Mild,Office,0,1
543,41,Female,Germany,2.0,186.0,8.5,Excellent,28.0,74,Low,0.1,None,Student,0,0
544,52,Male,Italy,2.3,220.8,8.3,Excellent,25.6,62,Low,3.5,Mild,Healthcare,0,0
545,18,Male,Belgium,4.8,460.7,7.6,Good,26.4,70,Low,10.7,None,Healthcare,0,0
546,25,Female,Mexico,1.6,154.1,6.8,Good,23.3,70,Low,8.2,None,Other,0,0
547,41,Male,Brazil,4.8,459.4,5.8,Fair,23.4,70,Medium,14.4,Mild,Office,0,1
548,32,Male,India,2.0,187.6,7.3,Good,18.8,78,Low,0.4,None,Office,0,0
549,39,Male,UK,0.0,0.0,8.8,Excellent,22.6,69,Low,5.7,None,Service,0,0
550,27,Female,China,2.6,250.3,6.9,Good,25.3,86,Low,10.6,None,Other,0,1
551,36,Female,Germany,2.0,186.5,6.2,Good,30.0,69,Low,2.0,None,Student,0,0
552,33,Male,South Korea,0.5,45.4,7.6,Good,25.0,85,Low,7.5,None,Office,0,0
553,49,Male,South Korea,2.4,226.0,10.0,Excellent,18.6,69,Low,0.2,None,Service,0,0
554,38,Other,Italy,1.8,168.3,5.8,Fair,23.8,73,Medium,2.7,Mild,Student,0,1
555,39,Female,Japan,5.3,504.5,5.0,Poor,21.7,75,High,14.1,Mild,Healthcare,1,0
556,30,Female,Netherlands,4.0,375.5,7.9,Good,23.7,57,Low,9.0,None,Healthcare,0,0
557,29,Male,Switzerland,1.1,100.5,8.1,Excellent,24.4,55,Low,11.4,None,Other,0,0
558,29,Male,India,1.4,132.0,5.5,Fair,31.9,73,Medium,1.5,Moderate,Healthcare,1,0
559,39,Male,Australia,4.0,380.1,6.8,Good,25.5,60,Low,3.5,None,Healthcare,1,0
560,29,Female,Italy,4.3,410.3,5.9,Fair,25.5,77,Medium,2.9,Mild,Service,0,0
561,38,Male,Netherlands,2.0,190.0,5.2,Fair,25.9,86,Medium,4.1,Mild,Student,0,0
562,59,Male,Switzerland,1.8,169.0,5.3,Fair,21.6,62,Medium,3.9,Moderate,Student,0,1
563,45,Male,Brazil,2.3,219.4,6.0,Fair,30.1,68,Medium,8.5,Moderate,Service,1,0
564,31,Male,France,2.9,278.8,6.8,Good,25.5,50,Low,10.6,None,Student,0,0
565,49,Female,Italy,3.6,340.9,7.3,Good,23.0,51,Low,8.2,None,Student,1,1
566,30,Male,South Korea,3.7,348.3,6.0,Fair,26.4,77,Medium,4.5,Mild,Other,0,0
567,18,Female,Finland,0.9,87.1,6.5,Good,29.6,70,Low,10.4,None,Office,1,1
568,22,Female,Belgium,2.0,186.2,7.4,Good,25.4,62,Low,8.3,None,Student,0,0
569,18,Male,Belgium,0.0,0.0,6.6,Good,24.0,50,Low,9.6,None,Student,1,1
570,30,Female,France,2.5,234.1,6.3,Good,24.2,66,Low,3.2,None,Student,0,0
571,35,Female,Sweden,0.4,39.7,8.3,Excellent,27.0,71,Low,14.4,None,Healthcare,0,1
572,55,Female,South Korea,1.4,133.2,6.3,Good,25.9,83,Low,4.9,Mild,Service,1,0
573,38,Male,Mexico,4.2,394.8,5.6,Fair,25.0,68,Medium,5.5,Mild,Other,1,0
574,32,Male,South Korea,3.1,293.1,5.8,Fair,23.3,98,Medium,8.1,Mild,Healthcare,1,0
575,44,Male,South Korea,3.0,287.2,6.3,Good,25.2,66,Low,0.7,None,Service,0,0
576,18,Female,Finland,2.5,237.8,8.2,Excellent,18.4,59,Low,2.9,None,Other,0,0
577,37,Female,Brazil,4.6,437.5,6.8,Good,29.1,88,Low,12.2,None,Healthcare,0,1
578,44,Female,Australia,1.6,148.0,6.6,Good,24.4,84,Low,11.9,None,Other,0,1
579,18,Male,Australia,2.7,260.8,6.5,Good,19.8,85,Low,2.1,None,Student,1,1
580,48,Male,Norway,2.7,253.2,7.5,Good,22.8,89,Low,8.8,None,Healthcare,0,0
581,39,Female,Spain,2.0,187.8,6.6,Good,27.2,77,Low,1.0,None,Healthcare,0,0
582,30,Male,India,5.7,542.2,6.0,Fair,30.2,66,Medium,1.1,Moderate,Office,0,0
583,42,Female,China,0.7,63.5,7.3,Good,26.1,51,Low,12.0,None,Student,1,0
584,62,Male,Sweden,0.0,0.0,6.1,Good,26.7,68,Low,7.1,Mild,Student,0,1
585,37,Male,South Korea,2.7,252.9,8.9,Excellent,22.6,61,Low,13.9,None,Healthcare,1,1
586,37,Male,Netherlands,1.6,151.6,9.0,Excellent,31.8,69,Low,7.2,Mild,Healthcare,0,0
587,29,Male,Italy,0.0,0.0,7.1,Good,23.3,50,Low,12.1,None,Service,0,0
588,24,Male,South Korea,3.1,291.1,6.4,Good,24.3,54,Low,9.6,None,Office,0,0
589,44,Male,Spain,2.9,272.0,5.5,Fair,24.4,75,Medium,6.5,Mild,Healthcare,0,1
590,24,Male,Sweden,4.2,397.4,6.5,Good,30.5,75,Low,8.3,Mild,Other,1,0
591,35,Male,Canada,1.7,158.3,5.6,Fair,25.5,66,Medium,14.0,Mild,Service,0,0
592,29,Male,South Korea,0.0,0.0,6.8,Good,27.4,54,Low,1.1,None,Healthcare,0,0
593,40,Female,Canada,1.1,103.8,7.7,Good,22.0,72,Low,7.9,None,Student,1,0
594,39,Male,Netherlands,0.0,0.0,8.2,Excellent,25.9,65,Low,0.8,None,Office,0,0
595,47,Female,Switzerland,4.7,450.8,8.0,Excellent,22.0,66,Low,8.3,None,Service,0,0
596,28,Female,Brazil,4.0,380.8,7.0,Good,21.8,83,Low,9.1,None,Other,0,0
597,31,Female,Australia,4.4,420.4,5.3,Fair,26.7,86,Medium,12.1,Mild,Service,0,0
598,23,Female,South Korea,3.5,332.5,8.2,Excellent,22.9,76,Low,12.0,None,Office,0,0
599,29,Male,Finland,0.4,37.9,8.1,Excellent,21.5,73,Low,0.2,None,Office,0,0
600,39,Female,India,1.9,179.9,6.2,Good,29.0,84,Low,1.1,None,Service,0,0
601,44,Female,Australia,3.7,350.4,5.3,Fair,20.9,70,Medium,10.3,Mild,Other,0,0
602,23,Female,Germany,0.0,0.0,7.2,Good,31.7,63,Low,2.7,Mild,Service,0,0
603,45,Male,Mexico,3.2,300.3,8.1,Excellent,28.3,71,Low,7.9,None,Student,0,0
604,51,Male,UK,3.7,348.4,5.9,Fair,30.9,80,Medium,3.5,Severe,Service,0,0
605,39,Male,Norway,5.9,560.0,6.3,Good,21.3,75,Low,12.5,None,Healthcare,0,0
606,57,Female,India,3.9,373.7,7.1,Good,26.8,50,Low,10.2,Mild,Healthcare,0,0
607,25,Female,Belgium,3.2,305.2,4.8,Poor,24.9,82,High,6.5,Mild,Other,0,1
608,20,Male,UK,2.5,241.6,5.9,Fair,27.8,75,Medium,3.4,Mild,Healthcare,0,0
609,18,Female,Finland,3.3,314.9,8.5,Excellent,21.8,75,Low,9.9,None,Healthcare,1,0
610,52,Female,Italy,3.4,324.5,4.2,Poor,28.4,80,High,5.3,Moderate,Service,0,1
611,42,Male,India,0.0,0.0,8.4,Excellent,26.5,68,Low,8.8,None,Service,0,0
612,34,Female,India,2.8,267.9,8.0,Excellent,23.4,74,Low,10.0,None,Office,0,1
613,38,Female,France,0.0,0.0,7.5,Good,18.0,78,Low,2.1,None,Healthcare,0,0
614,21,Male,Belgium,0.0,0.0,7.2,Good,28.0,75,Low,0.7,None,Healthcare,0,1
615,64,Female,Netherlands,2.6,243.5,4.6,Poor,23.5,62,High,7.4,Moderate,Office,0,0
616,36,Male,Netherlands,3.2,305.7,7.1,Good,20.8,69,Low,2.4,None,Office,0,0
617,36,Female,Japan,0.5,48.6,6.4,Good,22.2,64,Low,1.3,None,Other,0,0
618,43,Female,Finland,4.1,393.4,7.8,Good,26.6,70,Low,1.3,None,Office,0,0
619,40,Female,Canada,4.8,454.0,6.7,Good,23.4,85,Low,10.5,None,Office,0,0
620,37,Male,Sweden,3.7,352.3,4.6,Poor,24.6,82,High,13.6,Mild,Healthcare,0,0
621,25,Male,India,2.5,233.7,5.7,Fair,25.1,79,Medium,14.0,Mild,Student,0,0
622,40,Male,USA,3.0,281.1,4.7,Poor,20.1,58,High,14.0,Mild,Other,0,1
623,57,Female,Spain,2.7,253.6,5.0,Fair,26.4,67,Medium,10.1,Moderate,Other,0,0
624,51,Male,Germany,2.8,268.0,7.6,Good,26.6,50,Low,13.9,Mild,Service,0,0
625,54,Female,Finland,1.0,91.6,6.6,Good,32.5,71,Low,2.0,Moderate,Other,0,0
626,28,Male,Belgium,1.9,184.4,5.8,Fair,26.7,68,Medium,9.0,Mild,Office,0,1
627,23,Male,Sweden,2.6,246.0,6.6,Good,25.4,68,Low,11.4,None,Other,1,0
628,33,Male,Norway,3.0,285.5,6.1,Good,17.4,83,Low,14.1,None,Other,0,0
629,35,Female,France,3.4,321.5,6.7,Good,26.7,65,Low,4.9,None,Service,0,1
630,48,Female,Finland,1.0,95.2,9.4,Excellent,31.4,75,Low,8.8,Mild,Service,0,1
631,18,Male,UK,2.2,212.9,6.6,Good,21.9,85,Low,6.1,None,Other,0,0
632,53,Male,Brazil,2.1,199.2,8.0,Excellent,18.1,72,Low,8.1,Mild,Healthcare,1,1
633,33,Female,Italy,5.4,516.7,3.9,Poor,21.2,83,High,7.6,Mild,Office,0,1
634,29,Male,Norway,2.9,273.1,6.1,Good,27.0,78,Low,12.7,None,Office,0,1
635,22,Female,USA,3.5,333.5,5.0,Poor,22.4,65,High,12.4,Mild,Office,0,0
636,18,Female,Spain,4.0,379.5,6.7,Good,21.0,75,Low,5.9,None,Service,0,0
637,44,Female,Sweden,3.8,359.2,7.4,Good,25.2,89,Low,4.2,None,Office,0,0
638,35,Female,UK,0.0,0.0,8.1,Excellent,24.9,68,Low,12.8,None,Healthcare,1,0
639,19,Female,Belgium,2.2,212.1,6.5,Good,29.6,68,Low,14.3,None,Office,0,0
640,19,Female,Sweden,3.5,334.1,7.9,Good,22.3,72,Low,0.3,None,Service,0,0
641,30,Female,Norway,2.7,256.0,7.0,Good,24.4,106,Low,7.5,None,Healthcare,1,0
642,55,Female,Japan,0.0,0.0,7.7,Good,15.7,64,Low,11.6,Mild,Other,0,1
643,31,Male,Brazil,0.9,88.8,6.3,Good,21.9,67,Low,14.8,None,Student,0,0
644,18,Male,Switzerland,1.2,111.0,6.2,Good,25.2,69,Low,8.0,None,Healthcare,1,0
645,32,Male,Sweden,3.0,284.3,6.2,Good,23.0,66,Low,10.8,None,Service,1,0
646,31,Female,Spain,2.9,270.9,8.1,Excellent,15.1,71,Low,14.0,None,Healthcare,0,0
647,18,Female,Germany,4.8,454.6,5.7,Fair,26.5,57,Medium,5.6,Mild,Healthcare,1,0
648,34,Male,Switzerland,2.5,239.3,4.8,Poor,26.1,63,High,13.3,Mild,Service,0,0
649,32,Male,Switzerland,2.8,266.5,6.3,Good,20.4,63,Low,4.0,None,Student,1,0
650,43,Male,Switzerland,0.5,47.0,6.2,Good,26.8,58,Low,10.9,None,Other,0,1
651,57,Female,Switzerland,2.3,215.3,7.9,Good,18.9,78,Low,14.3,Mild,Service,0,0
652,48,Female,India,5.9,561.5,6.3,Good,21.1,82,Low,9.7,None,Other,1,0
653,31,Female,Belgium,3.0,286.3,7.1,Good,29.6,77,Low,5.6,None,Other,0,0
654,21,Male,Spain,1.7,157.7,8.1,Excellent,29.2,68,Low,1.2,None,Office,0,1
655,65,Female,Sweden,3.1,296.7,6.9,Good,26.7,64,Low,3.0,Mild,Healthcare,0,0
656,35,Male,Mexico,4.1,386.0,5.2,Fair,21.5,74,Medium,10.9,Mild,Student,0,0
657,35,Female,Switzerland,3.2,308.4,7.0,Good,25.8,67,Low,14.8,None,Other,0,0
658,34,Male,Belgium,3.7,356.0,7.9,Good,26.0,58,Low,12.7,None,Other,0,0
659,37,Female,Finland,3.9,374.2,6.4,Good,17.0,88,Low,11.9,None,Healthcare,0,0
660,33,Male,Finland,2.7,259.8,6.7,Good,19.8,51,Low,0.3,None,Office,0,0
661,28,Male,Netherlands,3.0,284.4,5.9,Fair,28.3,85,Medium,11.0,Mild,Office,0,0
662,28,Female,UK,1.6,152.2,7.0,Good,15.0,61,Low,12.4,None,Student,0,0
663,34,Male,China,1.6,150.7,7.3,Good,24.3,65,Low,4.9,None,Office,0,1
664,28,Male,UK,2.4,226.0,8.0,Excellent,23.8,72,Low,15.0,None,Student,0,0
665,26,Female,Mexico,0.5,48.8,9.0,Excellent,20.8,84,Low,0.5,None,Student,0,1
666,36,Female,Belgium,3.1,290.1,7.2,Good,24.0,67,Low,5.9,None,Other,0,0
667,31,Male,Japan,1.3,124.0,8.6,Excellent,24.0,64,Low,3.2,None,Student,0,0
668,53,Female,Spain,2.8,263.0,7.0,Good,24.6,92,Low,14.6,Mild,Service,1,0
669,18,Female,Australia,3.3,311.2,7.3,Good,23.5,80,Low,10.1,None,Student,1,0
670,48,Male,Italy,0.5,49.9,10.0,Excellent,26.2,82,Low,6.3,None,Student,1,1
671,49,Male,Germany,3.1,295.9,6.4,Good,27.0,92,Low,14.6,None,Service,0,0
672,18,Male,Norway,0.0,0.0,5.7,Fair,20.6,74,Medium,0.9,Mild,Healthcare,0,1
673,30,Female,South Korea,3.4,321.4,9.2,Excellent,28.0,77,Low,3.3,None,Office,0,0
674,30,Male,Belgium,3.4,323.4,7.3,Good,23.3,73,Low,6.3,None,Office,0,1
675,18,Male,South Korea,3.5,333.0,5.1,Fair,15.8,85,Medium,1.9,Mild,Office,1,0
676,25,Female,Switzerland,3.0,286.5,6.4,Good,22.2,67,Low,15.0,None,Healthcare,0,1
677,21,Female,Switzerland,1.7,163.7,7.3,Good,23.8,63,Low,8.6,None,Service,1,1
678,56,Male,China,1.8,168.7,5.9,Fair,18.2,79,Medium,2.4,Moderate,Office,0,0
679,46,Female,USA,1.6,149.7,5.3,Fair,23.5,71,Medium,3.7,Mild,Office,1,1
680,50,Male,Italy,4.0,384.2,7.4,Good,22.7,71,Low,5.9,None,Student,0,1
681,43,Male,India,5.0,478.4,4.0,Poor,25.3,64,High,10.9,Mild,Healthcare,0,0
682,21,Female,Netherlands,2.6,249.5,6.0,Fair,22.3,53,Medium,4.6,Mild,Office,1,1
683,28,Female,USA,1.0,96.7,6.2,Good,23.5,54,Low,4.5,None,Healthcare,0,0
684,40,Male,Mexico,2.1,197.9,5.5,Fair,27.9,80,Medium,9.4,Mild,Office,0,0
685,20,Female,Belgium,4.0,377.0,6.0,Fair,25.2,59,Medium,0.7,Mild,Office,0,0
686,43,Female,Belgium,3.3,316.4,6.3,Good,25.1,81,Low,10.7,None,Office,0,0
687,32,Male,Canada,2.6,242.3,3.0,Poor,22.7,97,High,8.2,Mild,Service,0,0
688,30,Female,USA,2.1,199.8,7.0,Good,20.0,82,Low,6.5,None,Student,0,0
689,43,Male,Spain,0.0,0.0,8.0,Good,26.2,73,Low,5.9,None,Service,0,1
690,40,Other,Belgium,2.2,206.9,8.4,Excellent,19.9,74,Low,3.3,None,Healthcare,0,1
691,30,Female,India,1.9,182.3,6.7,Good,30.3,59,Low,3.6,Mild,Student,0,0
692,48,Male,Netherlands,1.9,177.5,4.1,Poor,19.8,79,High,7.5,Mild,Other,0,0
693,22,Male,Australia,2.9,277.6,7.6,Good,23.1,95,Low,3.0,None,Service,0,0
694,42,Male,South Korea,5.1,486.9,6.3,Good,28.0,58,Low,8.5,None,Student,0,1
695,42,Male,Brazil,2.5,240.3,7.5,Good,23.7,74,Low,9.7,None,Office,0,0
696,31,Male,Japan,3.4,322.8,6.6,Good,25.6,70,Low,6.9,None,Office,1,1
697,38,Male,Germany,2.4,228.9,7.3,Good,24.6,77,Low,1.6,None,Service,0,1
698,19,Female,Switzerland,2.4,228.8,5.6,Fair,18.1,70,Medium,14.1,Mild,Student,0,1
699,46,Male,UK,4.2,400.1,5.0,Poor,20.1,89,High,12.5,Mild,Service,0,0
700,32,Female,Netherlands,3.1,290.8,6.4,Good,23.0,73,Low,14.3,None,Other,0,0
701,28,Female,Netherlands,3.7,348.5,6.4,Good,23.6,80,Low,5.5,None,Healthcare,0,1
702,47,Male,Sweden,4.4,414.2,5.4,Fair,26.9,82,Medium,0.5,Mild,Service,0,0
703,26,Female,USA,3.0,289.2,5.6,Fair,24.3,72,Medium,6.5,Mild,Healthcare,1,0
704,18,Male,Italy,2.9,272.4,5.6,Fair,23.4,66,Medium,7.0,Mild,Student,0,1
705,18,Male,South Korea,3.6,342.5,7.9,Good,22.4,70,Low,10.6,None,Other,0,0
706,42,Female,Finland,1.5,145.0,5.6,Fair,27.3,79,Medium,11.0,Mild,Service,0,0
707,19,Male,Norway,1.6,147.5,7.4,Good,21.3,84,Low,6.4,None,Student,0,0
708,56,Female,Mexico,1.4,129.4,5.8,Fair,19.4,68,Medium,14.7,Moderate,Service,0,0
709,18,Female,Germany,1.8,167.6,7.3,Good,23.3,81,Low,1.7,None,Office,0,0
710,55,Female,Italy,0.7,68.4,8.5,Excellent,27.4,62,Low,13.5,Mild,Student,0,0
711,37,Female,Norway,0.0,1.5,8.3,Excellent,21.6,52,Low,11.5,None,Other,0,1
712,33,Female,Belgium,1.3,120.4,6.5,Good,24.9,70,Low,8.0,None,Student,0,0
713,28,Male,Canada,0.0,0.0,7.3,Good,20.3,56,Low,11.4,None,Other,1,0
714,39,Male,France,2.9,278.0,6.0,Good,21.0,81,Low,11.3,None,Office,0,0
715,34,Female,China,2.6,251.6,7.7,Good,29.8,78,Low,2.5,None,Office,0,0
716,48,Male,UK,3.6,343.1,6.4,Good,15.7,90,Low,8.0,None,Healthcare,0,1
717,36,Male,Sweden,1.1,104.6,8.5,Excellent,21.0,77,Low,7.1,None,Healthcare,0,1
718,36,Male,Italy,3.2,308.6,5.4,Fair,17.0,87,Medium,7.4,Mild,Office,0,0
719,30,Female,Finland,1.3,122.3,5.8,Fair,20.8,94,Medium,2.5,Mild,Office,0,0
720,34,Male,Australia,3.7,347.8,7.2,Good,27.3,64,Low,5.8,None,Healthcare,1,0
721,38,Female,South Korea,0.0,0.0,7.5,Good,30.0,61,Low,7.8,Mild,Healthcare,0,0
722,18,Male,Brazil,2.1,203.7,8.9,Excellent,19.0,73,Low,10.3,None,Healthcare,0,0
723,18,Male,Mexico,1.9,180.6,6.4,Good,26.9,63,Low,6.3,None,Student,0,0
724,43,Male,Norway,3.7,351.1,5.8,Fair,18.7,70,Medium,9.7,Mild,Office,1,0
725,37,Male,Sweden,3.7,348.9,5.8,Fair,21.4,53,Medium,9.3,Mild,Service,0,0
726,32,Female,Sweden,4.3,411.2,6.0,Good,25.1,71,Low,12.2,None,Other,0,0
727,35,Male,Sweden,0.0,0.0,7.4,Good,16.9,64,Low,6.2,None,Other,0,0
728,39,Male,Switzerland,4.7,450.7,4.3,Poor,21.3,70,High,13.1,Mild,Other,0,0
729,28,Female,Finland,1.1,105.6,5.4,Fair,23.7,76,Medium,0.4,Mild,Other,0,1
730,25,Male,Finland,5.1,480.9,6.5,Good,15.7,77,Low,13.5,None,Healthcare,0,0
731,37,Male,Germany,5.8,554.4,6.6,Good,20.7,77,Low,14.3,None,Healthcare,0,1
732,23,Male,Switzerland,4.3,407.2,6.0,Fair,21.9,66,Medium,6.2,Mild,Office,0,0
733,39,Other,USA,1.2,115.3,7.4,Good,21.1,75,Low,14.2,None,Healthcare,0,1
734,18,Female,Netherlands,0.6,60.2,5.1,Fair,21.9,68,Medium,13.0,Mild,Other,0,0
735,47,Male,India,1.4,137.0,5.9,Fair,25.3,67,Medium,0.9,Mild,Student,0,0
736,40,Male,Mexico,3.4,318.8,5.6,Fair,24.8,78,Medium,9.8,Mild,Student,0,0
737,38,Male,Germany,0.9,86.0,5.8,Fair,29.1,75,Medium,13.8,Mild,Service,0,0
738,46,Male,South Korea,0.0,0.0,8.0,Good,23.0,74,Low,3.1,None,Office,1,0
739,54,Female,Australia,4.1,391.6,7.5,Good,17.9,67,Low,13.8,Mild,Student,0,1
740,47,Female,Belgium,1.6,151.9,4.1,Poor,15.5,65,High,3.1,Mild,Student,0,0
741,18,Male,China,3.9,367.8,4.0,Poor,29.3,60,High,9.5,Mild,Student,0,0
742,19,Female,Canada,3.7,347.5,6.6,Good,23.8,80,Low,5.7,None,Other,1,0
743,27,Male,Sweden,2.8,265.7,5.9,Fair,25.2,77,Medium,8.2,Mild,Other,0,1
744,35,Male,Spain,3.8,357.1,6.3,Good,27.3,79,Low,4.2,None,Service,0,0
745,41,Male,Spain,4.7,448.5,6.7,Good,24.8,55,Low,6.1,None,Healthcare,0,0
746,26,Male,UK,3.6,346.4,8.6,Excellent,28.8,72,Low,7.6,None,Healthcare,0,0
747,37,Female,Japan,3.7,350.2,6.4,Good,27.0,56,Low,7.5,None,Healthcare,0,0
748,25,Male,India,3.1,292.7,7.6,Good,27.9,59,Low,14.9,None,Student,0,0
749,27,Male,USA,1.9,175.8,6.2,Good,20.7,85,Low,12.8,None,Healthcare,0,0
750,18,Female,France,3.0,281.4,7.1,Good,27.1,61,Low,2.2,None,Healthcare,1,0
751,23,Female,Sweden,2.8,267.3,7.4,Good,25.7,66,Low,14.4,None,Other,0,0
752,18,Female,France,3.2,307.2,5.9,Fair,20.1,67,Medium,8.5,Mild,Other,0,1
753,23,Female,USA,3.0,285.0,5.7,Fair,30.4,62,Medium,9.1,Moderate,Healthcare,0,0
754,47,Male,Spain,1.8,172.3,6.2,Good,23.6,61,Low,4.1,None,Other,0,0
755,23,Female,Netherlands,4.2,399.9,7.4,Good,17.0,54,Low,4.5,None,Other,0,0
756,66,Female,Spain,1.7,162.4,7.6,Good,26.9,59,Low,2.1,Mild,Student,0,0
757,40,Female,India,3.1,293.7,3.5,Poor,26.0,73,High,12.4,Mild,Service,0,0
758,37,Female,China,3.3,310.9,6.0,Good,22.9,64,Low,7.3,None,Other,0,0
759,24,Male,Mexico,0.9,87.9,7.4,Good,26.3,63,Low,1.5,None,Service,0,0
760,43,Female,Germany,4.8,460.1,8.1,Excellent,20.7,50,Low,6.7,None,Office,1,0
761,28,Male,Switzerland,2.4,231.7,6.5,Good,25.9,64,Low,5.1,None,Healthcare,0,0
762,36,Male,Netherlands,1.0,95.9,7.3,Good,27.0,91,Low,10.4,None,Service,0,1
763,65,Male,Switzerland,2.5,237.6,6.7,Good,25.4,63,Low,2.8,Mild,Service,0,1
764,33,Female,Belgium,1.0,98.6,6.2,Good,24.1,78,Low,14.0,None,Office,0,0
765,48,Male,Mexico,1.6,154.9,5.1,Fair,23.4,62,Medium,11.7,Mild,Healthcare,0,0
766,26,Female,South Korea,1.6,152.1,5.3,Fair,29.7,74,Medium,5.9,Mild,Healthcare,0,0
767,34,Male,Norway,2.3,218.1,7.6,Good,21.8,86,Low,2.8,None,Healthcare,0,0
768,56,Female,Germany,4.5,432.0,6.5,Good,24.4,71,Low,11.5,Mild,Other,0,0
769,27,Male,Netherlands,2.7,252.7,5.7,Fair,23.6,66,Medium,1.8,Mild,Student,0,0
770,56,Female,South Korea,2.7,260.9,4.9,Poor,25.4,72,High,1.3,Moderate,Student,1,0
771,43,Female,Spain,1.8,169.5,7.7,Good,29.0,61,Low,10.2,None,Other,0,0
772,28,Male,Italy,2.9,277.9,5.4,Fair,28.9,72,Medium,3.0,Mild,Healthcare,0,1
773,42,Male,UK,2.5,232.8,7.4,Good,26.7,70,Low,9.6,None,Office,0,1
774,46,Female,Switzerland,2.4,225.6,6.5,Good,25.0,74,Low,5.3,None,Other,1,1
775,42,Female,Japan,3.6,338.3,6.4,Good,25.6,50,Low,1.4,None,Other,1,1
776,18,Female,India,1.1,103.3,8.9,Excellent,29.7,70,Low,9.4,None,Service,0,1
777,26,Male,Switzerland,4.4,418.0,3.8,Poor,19.6,77,High,9.7,Mild,Other,0,0
778,32,Female,India,0.0,0.0,5.9,Fair,22.8,69,Medium,8.1,Mild,Healthcare,1,0
779,34,Male,Mexico,2.4,224.2,8.6,Excellent,21.3,80,Low,5.2,None,Other,0,0
780,42,Female,China,4.5,431.1,7.4,Good,26.7,62,Low,13.7,None,Student,1,0
781,37,Female,Sweden,4.3,409.5,6.1,Good,23.1,64,Low,10.2,None,Student,0,0
782,18,Male,Mexico,2.7,260.1,8.8,Excellent,17.6,77,Low,8.3,None,Other,0,0
783,39,Female,South Korea,1.3,122.1,8.0,Excellent,21.5,79,Low,7.2,None,Office,1,0
784,42,Female,Finland,2.3,218.5,6.0,Good,24.6,84,Low,12.6,None,Service,1,0
785,41,Female,Brazil,6.4,606.8,4.8,Poor,25.9,75,High,14.4,Mild,Other,0,0
786,47,Male,Switzerland,3.6,338.5,8.1,Excellent,23.3,53,Low,8.4,None,Healthcare,0,0
787,45,Male,Germany,0.0,0.0,6.0,Good,20.2,81,Low,0.7,None,Office,0,0
788,40,Female,Japan,2.6,249.3,6.9,Good,29.7,74,Low,7.4,None,Healthcare,0,0
789,34,Male,Finland,1.6,152.2,8.6,Excellent,26.0,72,Low,9.7,None,Healthcare,1,0
790,18,Male,Australia,0.6,56.5,7.1,Good,25.8,85,Low,12.3,None,Service,0,0
791,40,Other,Belgium,3.2,306.3,6.5,Good,25.1,78,Low,4.7,None,Service,0,0
792,37,Male,Belgium,1.0,99.2,4.8,Poor,19.5,79,High,10.1,Mild,Student,1,0
793,38,Female,Switzerland,4.8,458.1,7.5,Good,24.5,52,Low,0.7,None,Healthcare,1,0
794,19,Male,Netherlands,4.5,428.6,4.1,Poor,15.0,67,High,5.3,Mild,Other,1,0
795,22,Male,USA,1.4,133.5,8.4,Excellent,25.6,80,Low,4.5,None,Healthcare,0,1
796,47,Female,Canada,1.3,124.6,4.8,Poor,15.0,70,High,1.3,Mild,Student,0,0
797,34,Female,Germany,3.5,333.4,5.5,Fair,20.9,76,Medium,10.5,Mild,Healthcare,0,0
798,43,Female,Spain,4.0,382.5,7.8,Good,24.2,74,Low,5.5,None,Service,1,0
799,35,Female,Germany,2.1,201.6,8.4,Excellent,25.0,81,Low,3.3,None,Student,0,0
800,35,Female,USA,4.0,376.9,6.5,Good,18.9,59,Low,2.2,None,Office,0,0
801,46,Male,Germany,5.0,474.7,5.8,Fair,21.3,55,Medium,13.6,Mild,Healthcare,0,0
802,28,Male,Japan,3.0,284.5,6.7,Good,18.9,69,Low,2.1,None,Healthcare,1,0
803,36,Male,Canada,1.0,90.9,4.5,Poor,28.6,74,High,13.0,Mild,Service,0,1
804,29,Female,France,3.7,349.4,7.8,Good,21.2,66,Low,7.8,None,Office,0,0
805,29,Male,UK,2.7,257.9,5.8,Fair,23.7,70,Medium,0.5,Mild,Healthcare,1,0
806,31,Male,Australia,2.0,191.7,6.4,Good,24.9,57,Low,14.4,None,Healthcare,0,0
807,37,Male,Japan,3.6,344.6,6.6,Good,26.7,58,Low,8.3,None,Office,0,0
808,29,Male,Canada,4.3,409.5,6.7,Good,26.0,65,Low,4.8,None,Service,0,1
809,50,Male,Finland,2.8,264.0,7.1,Good,26.3,80,Low,4.0,None,Other,0,0
810,24,Female,USA,0.0,0.0,8.5,Excellent,19.3,74,Low,4.8,None,Office,0,0
811,32,Male,UK,2.7,254.6,8.1,Excellent,25.7,78,Low,3.2,None,Service,0,1
812,29,Female,Brazil,2.8,269.8,6.5,Good,18.5,80,Low,3.7,None,Healthcare,1,0
813,52,Female,UK,6.4,606.0,6.9,Good,25.6,97,Low,5.7,Mild,Office,1,1
814,37,Male,South Korea,2.7,256.0,7.6,Good,29.0,56,Low,7.8,None,Service,0,1
815,47,Female,Norway,2.2,213.1,4.6,Poor,19.6,62,High,10.9,Mild,Healthcare,0,0
816,18,Male,Japan,3.5,335.8,5.9,Fair,18.3,85,Medium,4.5,Mild,Student,1,0
817,38,Female,Spain,2.0,194.7,5.6,Fair,30.6,69,Medium,2.0,Moderate,Service,0,1
818,45,Other,France,1.5,139.7,6.8,Good,21.7,75,Low,0.3,None,Service,0,1
819,35,Female,Sweden,0.1,10.3,8.5,Excellent,26.3,58,Low,5.6,None,Service,0,0
820,47,Female,Italy,1.6,152.6,7.7,Good,17.5,73,Low,11.9,None,Healthcare,0,0
821,28,Male,Sweden,0.0,0.0,8.0,Good,27.7,80,Low,4.9,None,Other,0,0
822,51,Male,Netherlands,2.9,277.9,6.1,Good,28.3,70,Low,3.3,Mild,Other,0,0
823,62,Female,South Korea,2.8,268.3,6.1,Good,30.3,75,Low,13.7,Moderate,Student,1,0
824,30,Male,Canada,3.5,336.7,5.7,Fair,31.1,74,Medium,9.9,Moderate,Office,0,0
825,29,Male,USA,1.0,90.6,5.8,Fair,20.3,78,Medium,14.6,Mild,Student,0,0
826,52,Male,Germany,0.3,32.5,7.6,Good,29.0,61,Low,8.4,Mild,Office,0,0
827,53,Female,France,5.6,530.7,5.5,Fair,26.0,56,Medium,8.1,Moderate,Office,0,1
828,28,Male,Finland,2.4,226.3,5.1,Fair,23.8,75,Medium,14.6,Mild,Student,0,0
829,29,Female,Netherlands,3.5,337.2,6.8,Good,25.0,80,Low,9.2,None,Student,0,0
830,31,Male,Norway,2.7,256.4,6.7,Good,32.3,90,Low,7.7,Mild,Service,0,0
831,18,Male,USA,3.6,343.7,6.8,Good,20.4,72,Low,3.6,None,Healthcare,0,1
832,23,Female,Japan,2.8,270.0,8.3,Excellent,24.7,64,Low,5.7,None,Other,0,0
833,22,Male,Brazil,1.3,123.2,6.8,Good,28.6,69,Low,8.4,None,Office,0,0
834,25,Female,Brazil,3.3,314.7,5.7,Fair,25.3,71,Medium,8.5,Mild,Office,0,0
835,34,Male,Spain,3.0,280.8,5.8,Fair,18.7,69,Medium,6.8,Mild,Service,0,1
836,37,Male,Brazil,0.0,0.0,5.8,Fair,24.4,73,Medium,10.3,Mild,Other,0,0
837,53,Male,Japan,2.9,279.5,5.6,Fair,17.1,92,Medium,2.4,Moderate,Healthcare,0,0
838,23,Female,Finland,1.9,182.3,5.2,Fair,22.4,83,Medium,13.0,Mild,Service,0,1
839,46,Female,Switzerland,1.5,142.5,6.9,Good,19.1,54,Low,11.1,None,Healthcare,0,0
840,32,Female,Australia,4.0,376.5,5.6,Fair,21.5,71,Medium,12.4,Mild,Office,1,0
841,34,Male,Belgium,2.4,227.3,6.8,Good,28.0,55,Low,0.5,None,Other,0,0
842,43,Female,Switzerland,2.4,231.6,6.2,Good,21.9,64,Low,11.7,None,Office,0,0
843,21,Female,India,2.6,250.2,6.5,Good,23.8,63,Low,11.1,None,Service,0,1
844,39,Female,Netherlands,2.5,232.9,8.7,Excellent,30.5,69,Low,0.3,Mild,Healthcare,0,0
845,36,Female,Finland,2.4,223.6,8.0,Excellent,25.2,69,Low,6.8,None,Healthcare,1,1
846,40,Female,USA,4.7,445.0,4.5,Poor,23.8,70,High,4.6,Mild,Office,0,0
847,38,Male,China,1.5,140.0,6.0,Good,22.8,87,Low,3.8,None,Service,0,0
848,64,Female,Australia,0.0,0.0,4.7,Poor,25.5,80,High,2.4,Moderate,Other,0,1
849,27,Male,Canada,2.6,243.9,6.1,Good,29.3,69,Low,3.8,None,Student,0,1
850,28,Female,Canada,1.1,103.6,7.2,Good,20.2,74,Low,11.4,None,Service,0,0
851,27,Male,Sweden,0.9,81.2,8.2,Excellent,25.5,86,Low,13.6,None,Other,0,0
852,28,Male,Brazil,2.5,235.3,7.9,Good,18.9,57,Low,5.3,None,Other,0,0
853,27,Male,Germany,2.9,276.6,6.9,Good,16.7,70,Low,4.3,None,Healthcare,0,0
854,49,Male,Canada,2.2,212.8,5.5,Fair,25.2,74,Medium,4.4,Mild,Student,0,1
855,52,Male,China,1.8,172.4,7.7,Good,24.6,62,Low,8.0,Mild,Student,0,1
856,28,Female,Canada,2.2,208.9,6.7,Good,16.4,55,Low,0.7,None,Student,0,1
857,25,Female,Australia,2.4,230.2,6.9,Good,20.4,65,Low,8.6,None,Office,0,0
858,40,Female,Japan,2.5,237.1,9.0,Excellent,21.7,68,Low,13.8,None,Healthcare,0,0
859,28,Female,India,0.0,0.0,5.9,Fair,25.7,79,Medium,7.4,Mild,Service,0,0
860,42,Male,Canada,3.8,362.0,8.9,Excellent,29.7,54,Low,6.0,None,Office,0,0
861,37,Female,USA,0.3,29.8,9.1,Excellent,18.8,74,Low,0.6,None,Office,0,0
862,18,Male,Norway,1.5,141.9,6.9,Good,23.0,66,Low,8.2,None,Student,0,0
863,53,Female,Netherlands,0.2,16.0,7.2,Good,30.9,74,Low,2.0,Moderate,Student,0,0
864,56,Male,Finland,2.8,261.3,5.7,Fair,29.1,87,Medium,6.9,Moderate,Other,0,0
865,27,Male,Australia,1.4,136.2,7.0,Good,15.0,61,Low,4.6,None,Other,0,0
866,30,Male,USA,2.2,211.3,6.8,Good,22.5,82,Low,3.9,None,Healthcare,1,0
867,38,Male,Switzerland,1.4,131.6,6.0,Fair,25.6,75,Medium,14.4,Mild,Healthcare,0,0
868,39,Male,Japan,0.9,87.3,6.0,Good,26.9,66,Low,11.8,None,Service,0,0
869,42,Male,Italy,0.0,0.0,6.7,Good,28.5,75,Low,1.8,None,Office,0,0
870,59,Female,Spain,1.6,153.2,6.7,Good,17.0,78,Low,4.7,Mild,Student,0,0
871,32,Female,Italy,0.7,65.1,4.8,Poor,24.8,62,High,10.6,Mild,Student,0,0
872,25,Male,Switzerland,3.3,311.5,7.9,Good,25.0,59,Low,12.4,None,Healthcare,1,0
873,18,Male,Germany,5.6,534.0,5.6,Fair,28.5,61,Medium,7.9,Mild,Other,1,0
874,26,Female,Finland,5.2,498.3,5.9,Fair,26.0,68,Medium,13.5,Mild,Service,1,0
875,34,Male,Brazil,2.4,225.9,6.9,Good,25.9,64,Low,5.4,None,Office,0,0
876,56,Female,Mexico,1.3,124.8,6.5,Good,25.5,76,Low,1.1,Mild,Healthcare,0,0
877,28,Male,Canada,0.0,0.0,8.4,Excellent,24.0,75,Low,14.1,None,Other,0,0
878,37,Female,Switzerland,1.9,177.8,6.4,Good,28.7,73,Low,6.2,None,Other,0,1
879,34,Female,USA,1.1,107.5,6.1,Good,20.0,80,Low,0.3,None,Office,0,1
880,49,Female,France,1.4,132.4,7.5,Good,28.9,70,Low,10.8,None,Office,0,1
881,65,Female,Brazil,0.1,4.9,7.9,Good,23.2,74,Low,3.8,Mild,Healthcare,0,1
882,28,Male,Switzerland,3.6,337.6,9.5,Excellent,21.8,76,Low,1.4,None,Office,0,1
883,29,Male,USA,3.3,310.1,4.2,Poor,23.2,67,High,12.7,Mild,Student,0,1
884,47,Female,Norway,1.1,107.0,6.9,Good,23.3,59,Low,3.6,None,Other,1,0
885,43,Female,Spain,3.8,359.5,7.2,Good,31.2,59,Low,8.2,Mild,Other,0,0
886,57,Male,Sweden,2.6,246.0,5.5,Fair,19.1,84,Medium,9.2,Moderate,Student,0,1
887,42,Female,Canada,3.3,313.1,8.2,Excellent,18.8,61,Low,14.2,None,Service,0,0
888,30,Male,Germany,3.7,347.8,5.6,Fair,19.7,81,Medium,5.9,Mild,Service,0,1
889,42,Male,South Korea,3.0,289.5,6.7,Good,23.1,86,Low,7.5,None,Office,0,1
890,48,Female,India,1.3,120.6,8.1,Excellent,20.8,63,Low,4.5,None,Healthcare,1,0
891,44,Male,South Korea,4.1,387.0,5.1,Fair,15.0,74,Medium,7.0,Mild,Service,0,0
892,41,Female,Canada,3.7,347.6,6.3,Good,21.3,68,Low,0.1,None,Healthcare,0,0
893,47,Male,Germany,3.7,349.7,7.4,Good,19.3,67,Low,12.9,None,Healthcare,0,0
894,49,Male,Sweden,0.5,48.1,7.1,Good,28.0,87,Low,1.0,None,Service,0,1
895,51,Female,Netherlands,0.3,28.5,7.8,Good,26.5,78,Low,3.7,Mild,Healthcare,0,0
896,42,Female,USA,4.8,453.1,7.2,Good,25.4,71,Low,10.8,None,Office,0,1
897,32,Male,China,1.5,146.6,6.1,Good,17.1,78,Low,9.6,None,Student,0,0
898,36,Male,Spain,2.9,273.5,8.5,Excellent,29.7,86,Low,11.3,None,Student,0,0
899,49,Male,Sweden,4.3,409.4,5.3,Fair,20.7,68,Medium,7.6,Mild,Office,1,1
900,25,Male,Netherlands,4.9,470.2,7.9,Good,27.3,80,Low,13.9,None,Office,1,1
901,39,Female,Switzerland,3.4,319.3,6.9,Good,26.4,62,Low,14.2,None,Other,1,0
902,30,Female,UK,1.7,163.1,6.0,Good,20.8,64,Low,11.4,None,Student,0,1
903,35,Male,UK,2.1,196.7,5.7,Fair,25.3,74,Medium,4.8,Mild,Office,1,0
904,50,Male,Sweden,3.1,290.3,6.9,Good,24.4,71,Low,0.6,None,Service,0,0
905,37,Female,Sweden,2.8,262.4,6.3,Good,28.3,70,Low,8.2,None,Healthcare,0,0
906,35,Female,Belgium,1.4,135.5,7.4,Good,21.4,78,Low,0.1,None,Office,0,0
907,18,Female,Sweden,0.0,0.0,6.7,Good,24.7,68,Low,12.1,None,Service,0,0
908,43,Female,France,1.4,132.6,6.9,Good,20.0,80,Low,8.8,None,Other,1,1
909,42,Male,Japan,2.2,207.1,7.3,Good,28.9,77,Low,9.3,None,Student,0,0
910,60,Male,USA,2.5,236.1,6.6,Good,23.5,72,Low,0.9,Mild,Service,0,0
911,31,Female,Finland,5.1,480.7,5.9,Fair,20.3,70,Medium,8.8,Mild,Healthcare,1,0
912,37,Female,Switzerland,4.1,389.6,6.8,Good,26.5,72,Low,2.7,None,Service,0,1
913,37,Male,Italy,1.8,171.7,6.3,Good,28.2,59,Low,6.0,None,Other,0,0
914,53,Male,UK,3.3,309.3,7.3,Good,22.1,68,Low,4.8,Mild,Healthcare,0,1
915,33,Male,Brazil,0.0,0.0,7.5,Good,32.3,59,Low,3.7,Mild,Student,1,1
916,38,Female,Brazil,4.3,412.2,7.2,Good,30.1,76,Low,6.7,Mild,Healthcare,0,0
917,42,Male,Mexico,1.8,166.8,7.6,Good,24.2,57,Low,11.4,None,Service,0,1
918,37,Male,Norway,2.8,264.2,6.3,Good,22.3,56,Low,3.5,None,Office,0,1
919,29,Female,Sweden,2.5,241.7,4.2,Poor,18.8,70,High,7.7,Mild,Office,0,0
920,37,Male,Australia,4.0,383.7,6.2,Good,19.7,78,Low,5.3,None,Healthcare,0,0
921,47,Male,USA,2.0,187.8,7.0,Good,16.5,70,Low,9.8,None,Healthcare,0,1
922,22,Male,Mexico,3.7,354.8,6.3,Good,26.4,83,Low,8.5,None,Other,0,0
923,36,Male,Brazil,3.0,289.5,5.7,Fair,23.7,72,Medium,9.8,Mild,Service,1,1
924,26,Male,Japan,2.7,255.0,8.1,Excellent,21.9,94,Low,14.7,None,Healthcare,1,0
925,49,Female,Switzerland,2.3,222.1,5.7,Fair,15.0,73,Medium,7.6,Mild,Office,0,0
926,18,Female,USA,1.7,164.9,5.9,Fair,26.1,95,Medium,1.5,Mild,Student,0,0
927,28,Male,Japan,2.3,213.9,6.1,Good,23.8,71,Low,0.7,None,Service,0,0
928,39,Male,Finland,1.9,183.0,6.4,Good,24.1,78,Low,0.8,None,Other,0,1
929,53,Female,Australia,3.1,297.2,5.8,Fair,24.0,73,Medium,5.3,Moderate,Service,0,0
930,34,Male,Belgium,0.8,75.8,6.9,Good,28.1,74,Low,10.9,None,Office,0,1
931,28,Male,Sweden,2.6,247.8,6.7,Good,17.5,64,Low,12.6,None,Service,0,0
932,57,Female,Italy,4.8,453.6,5.1,Fair,33.4,77,Medium,8.9,Severe,Other,0,0
933,18,Male,USA,1.8,174.8,5.4,Fair,18.7,58,Medium,7.2,Mild,Other,0,0
934,18,Male,Mexico,3.2,300.0,7.4,Good,23.1,70,Low,12.7,None,Student,1,1
935,40,Male,China,0.0,0.0,6.9,Good,15.0,64,Low,0.9,None,Service,0,0
936,28,Female,Belgium,0.1,12.2,8.2,Excellent,24.6,66,Low,4.9,None,Student,0,1
937,22,Male,Germany,2.3,218.5,7.4,Good,22.7,81,Low,0.9,None,Healthcare,0,1
938,43,Male,Germany,2.4,226.8,6.3,Good,23.9,75,Low,14.0,None,Student,0,0
939,37,Male,Japan,2.6,243.4,7.1,Good,25.5,52,Low,1.3,None,Healthcare,0,1
940,28,Female,France,5.8,549.7,7.0,Good,22.0,81,Low,14.4,None,Healthcare,0,1
941,19,Male,Australia,1.6,154.4,5.8,Fair,30.2,70,Medium,11.0,Moderate,Healthcare,0,0
942,45,Male,Norway,2.6,249.5,4.8,Poor,21.9,80,High,7.4,Mild,Office,0,0
943,42,Female,Germany,1.4,135.4,5.6,Fair,26.1,72,Medium,4.7,Mild,Other,1,1
944,33,Female,Spain,3.6,342.5,7.1,Good,20.5,58,Low,8.1,None,Healthcare,0,0
945,57,Male,India,0.8,73.6,9.0,Excellent,28.1,84,Low,9.6,Mild,Service,0,1
946,22,Male,Sweden,1.5,137.9,6.7,Good,19.8,78,Low,7.2,None,Office,1,0
947,18,Male,India,1.1,109.0,8.4,Excellent,23.0,71,Low,13.8,None,Healthcare,0,0
948,26,Female,USA,3.7,354.9,7.5,Good,21.5,60,Low,2.1,None,Healthcare,0,0
949,34,Male,Sweden,2.7,255.5,5.8,Fair,25.2,75,Medium,1.9,Mild,Other,0,0
950,37,Male,France,2.9,277.9,6.5,Good,20.5,74,Low,11.7,None,Office,0,1
951,32,Male,France,2.2,209.9,7.4,Good,21.2,60,Low,8.4,None,Office,0,0
952,39,Male,Germany,4.3,409.8,4.9,Poor,23.3,71,High,6.1,Mild,Student,1,0
953,19,Male,France,2.3,215.4,7.7,Good,22.2,52,Low,12.3,None,Service,0,0
954,52,Male,Norway,5.4,517.6,7.5,Good,24.1,54,Low,14.1,Mild,Other,0,0
955,34,Female,UK,4.4,418.4,7.3,Good,20.8,60,Low,7.9,None,Student,0,0
956,48,Female,Germany,0.3,27.2,6.8,Good,21.0,70,Low,8.5,None,Student,1,0
957,39,Male,Italy,3.5,328.5,7.1,Good,23.8,63,Low,0.8,None,Service,0,0
958,40,Male,Australia,4.4,418.2,7.5,Good,29.5,82,Low,7.5,None,Other,0,0
959,41,Female,Australia,1.9,179.4,5.0,Poor,22.7,63,High,0.3,Mild,Service,1,0
960,40,Male,UK,3.1,296.1,3.7,Poor,26.8,67,High,6.1,Mild,Other,0,0
961,42,Female,Belgium,0.3,26.9,7.6,Good,25.6,81,Low,14.5,None,Healthcare,1,0
962,50,Other,France,1.0,95.6,6.1,Good,20.8,65,Low,11.4,None,Office,1,0
963,37,Male,Sweden,2.1,201.6,6.9,Good,26.9,71,Low,11.0,None,Healthcare,0,0
964,43,Male,Sweden,0.5,44.5,7.2,Good,23.6,80,Low,11.8,None,Healthcare,1,1
965,33,Male,Finland,2.6,245.4,8.1,Excellent,28.0,90,Low,12.7,None,Healthcare,0,1
966,52,Female,Netherlands,3.5,330.2,6.7,Good,34.4,80,Low,0.6,Moderate,Service,1,1
967,26,Female,Australia,1.1,107.0,7.5,Good,24.2,75,Low,13.2,None,Other,0,0
968,56,Female,UK,0.5,46.5,7.5,Good,28.8,91,Low,11.6,Mild,Healthcare,0,0
969,34,Female,Spain,0.1,12.5,7.9,Good,28.2,57,Low,10.3,None,Office,0,1
970,18,Male,Mexico,4.3,410.3,5.7,Fair,22.2,92,Medium,6.1,Mild,Healthcare,0,0
971,36,Female,Spain,0.0,0.0,7.4,Good,22.2,72,Low,4.5,None,Student,1,0
972,26,Female,Switzerland,2.9,279.7,3.8,Poor,18.7,75,High,2.9,Mild,Student,0,0
973,45,Female,China,4.5,423.6,5.6,Fair,28.6,61,Medium,5.1,Mild,Service,0,0
974,27,Male,Norway,1.0,98.1,8.1,Excellent,20.4,58,Low,13.2,None,Office,0,0
975,29,Female,South Korea,1.2,117.2,5.2,Fair,21.6,65,Medium,0.8,Mild,Service,1,1
976,18,Female,Sweden,2.8,262.5,5.1,Fair,31.6,70,Medium,10.9,Moderate,Service,0,0
977,29,Female,Norway,2.9,271.8,7.4,Good,21.9,71,Low,1.3,None,Service,0,0
978,18,Female,USA,1.8,166.5,6.0,Good,30.5,73,Low,1.8,Mild,Healthcare,0,0
979,18,Female,Germany,2.1,195.2,8.2,Excellent,31.8,65,Low,3.0,Mild,Other,0,0
980,44,Female,Finland,2.6,250.4,6.7,Good,20.5,75,Low,10.1,None,Other,1,1
981,44,Female,France,1.9,179.9,8.5,Excellent,27.0,55,Low,12.8,None,Office,0,0
982,40,Female,Belgium,1.9,184.7,8.8,Excellent,25.9,85,Low,2.1,None,Healthcare,0,0
983,23,Male,Australia,5.4,514.3,7.7,Good,27.2,66,Low,3.5,None,Other,0,0
984,34,Male,Belgium,4.0,381.9,5.8,Fair,28.7,73,Medium,9.5,Mild,Student,0,0
985,34,Male,China,4.1,393.1,5.0,Fair,16.7,68,Medium,6.8,Mild,Service,0,1
986,21,Female,China,2.0,188.9,8.2,Excellent,26.3,70,Low,9.5,None,Other,0,0
987,53,Female,Sweden,0.0,0.0,7.0,Good,26.8,72,Low,2.4,Mild,Service,0,0
988,45,Female,Norway,6.2,590.3,6.3,Good,22.1,109,Low,6.9,None,Healthcare,0,0
989,32,Male,UK,1.6,149.6,8.1,Excellent,27.8,52,Low,5.1,None,Other,0,1
990,35,Male,Switzerland,3.0,281.6,5.2,Fair,29.0,62,Medium,6.6,Mild,Service,0,0
991,37,Male,Germany,3.7,349.2,7.2,Good,22.1,59,Low,4.4,None,Other,0,0
992,18,Male,Norway,1.6,154.8,6.2,Good,18.8,73,Low,2.1,None,Other,0,0
993,32,Female,Brazil,3.9,366.0,7.4,Good,31.4,75,Low,10.0,Mild,Office,0,0
994,26,Male,Switzerland,2.5,238.8,7.1,Good,20.7,85,Low,10.0,None,Office,0,0
995,22,Female,UK,2.1,199.9,7.7,Good,18.7,71,Low,4.0,None,Healthcare,0,0
996,31,Female,Belgium,1.6,154.7,6.2,Good,24.8,83,Low,8.7,None,Service,0,0
997,56,Male,UK,1.0,95.5,6.0,Fair,15.0,81,Medium,14.4,Moderate,Office,0,0
998,42,Female,Italy,0.0,0.0,7.0,Good,24.3,68,Low,8.1,None,Office,1,0
999,28,Male,Canada,6.7,638.5,5.3,Fair,27.3,66,Medium,4.7,Mild,Healthcare,0,0
1000,41,Male,Sweden,4.7,445.2,5.5,Fair,21.8,70,Medium,4.6,Mild,Student,0,0
1001,51,Female,India,2.7,252.2,5.8,Fair,26.1,64,Medium,12.5,Moderate,Student,0,0
1002,46,Female,Japan,4.8,459.8,7.0,Good,25.9,73,Low,7.3,None,Other,0,1
1003,35,Male,Germany,4.6,441.2,8.6,Excellent,26.0,64,Low,3.9,None,Healthcare,0,0
1004,27,Male,Norway,3.4,322.5,7.4,Good,22.4,75,Low,9.5,None,Service,0,0
1005,43,Male,China,2.0,188.3,7.5,Good,24.2,54,Low,13.0,None,Office,0,0
1006,39,Male,China,4.1,390.6,7.2,Good,24.7,75,Low,10.9,None,Student,0,0
1007,45,Female,India,3.9,367.0,5.3,Fair,24.3,78,Medium,1.3,Mild,Office,0,1
1008,42,Female,Norway,3.7,350.2,7.3,Good,23.3,77,Low,5.1,None,Other,1,0
1009,47,Male,Spain,2.0,189.4,4.5,Poor,31.2,50,High,12.2,Moderate,Office,0,0
1010,28,Female,Netherlands,3.1,291.5,7.0,Good,25.3,73,Low,6.3,None,Healthcare,0,1
1011,50,Male,UK,2.9,276.5,7.4,Good,25.7,75,Low,15.0,None,Service,0,0
1012,37,Male,Mexico,1.9,183.2,7.7,Good,19.1,99,Low,5.1,None,Office,0,1
1013,59,Female,Belgium,3.1,290.2,7.3,Good,33.2,73,Low,13.6,Moderate,Service,0,0
1014,26,Female,Netherlands,4.4,416.0,4.8,Poor,27.5,57,High,6.9,Mild,Healthcare,0,1
1015,55,Female,Mexico,4.8,454.9,5.5,Fair,25.3,55,Medium,14.0,Moderate,Other,0,0
1016,37,Female,South Korea,3.2,308.7,7.9,Good,30.9,69,Low,6.3,Mild,Healthcare,1,0
1017,27,Female,Italy,2.3,213.8,7.1,Good,19.3,62,Low,7.0,None,Student,0,0
1018,29,Male,USA,3.8,359.3,6.8,Good,19.6,80,Low,8.1,None,Other,0,0
1019,31,Female,Australia,1.2,113.2,6.2,Good,28.2,87,Low,0.6,None,Office,1,1
1020,40,Other,Mexico,1.9,183.8,5.4,Fair,29.0,50,Medium,1.3,Mild,Service,1,0
1021,41,Male,Brazil,4.4,419.2,5.5,Fair,16.6,68,Medium,12.8,Mild,Other,0,0
1022,28,Female,China,5.3,504.2,4.5,Poor,20.1,85,High,4.0,Mild,Other,0,0
1023,34,Female,Italy,4.2,399.9,7.0,Good,17.9,80,Low,9.4,None,Student,0,1
1024,60,Male,USA,2.4,225.9,3.1,Poor,27.9,62,High,3.9,Moderate,Office,0,0
1025,55,Female,Netherlands,0.0,0.0,6.1,Good,24.4,73,Low,5.3,Mild,Other,0,0
1026,40,Male,Switzerland,3.7,349.2,8.8,Excellent,25.8,83,Low,9.1,None,Student,0,0
1027,35,Female,Sweden,3.3,312.1,6.3,Good,19.8,71,Low,5.1,None,Service,0,0
1028,36,Male,Netherlands,3.3,316.2,5.6,Fair,25.1,78,Medium,10.9,Mild,Service,0,0
1029,42,Female,Switzerland,0.3,33.1,9.6,Excellent,17.8,82,Low,7.7,None,Office,0,1
1030,22,Male,China,2.0,190.4,6.2,Good,27.3,70,Low,11.4,None,Office,0,1
1031,31,Male,Spain,5.3,503.3,8.6,Excellent,31.2,73,Low,3.2,Mild,Office,0,1
1032,18,Male,Australia,1.0,91.6,6.5,Good,15.0,80,Low,9.7,None,Service,0,1
1033,39,Female,France,3.4,319.9,7.6,Good,29.5,78,Low,4.7,None,Healthcare,0,0
1034,42,Female,Germany,1.5,144.0,9.5,Excellent,23.6,84,Low,5.3,None,Office,0,0
1035,29,Female,Italy,3.3,309.8,6.7,Good,25.4,80,Low,2.8,None,Healthcare,0,0
1036,53,Female,Japan,2.2,209.1,6.3,Good,22.5,88,Low,1.9,Mild,Healthcare,0,0
1037,20,Male,India,4.3,409.4,7.2,Good,19.7,66,Low,13.2,None,Office,0,0
1038,18,Male,Spain,2.6,243.4,5.4,Fair,30.7,74,Medium,14.2,Moderate,Healthcare,0,0
1039,37,Female,Netherlands,4.0,379.2,7.9,Good,21.5,70,Low,5.9,None,Healthcare,0,0
1040,47,Male,Mexico,5.7,538.4,5.4,Fair,30.2,56,Medium,11.5,Moderate,Healthcare,0,0
1041,55,Female,Japan,4.0,378.0,4.6,Poor,27.2,62,High,12.1,Moderate,Student,0,0
1042,29,Female,Spain,3.4,319.7,6.4,Good,23.1,82,Low,2.1,None,Other,0,0
1043,47,Male,Finland,4.2,402.4,5.8,Fair,30.9,78,Medium,14.1,Moderate,Office,0,1
1044,34,Male,Canada,3.3,317.7,3.6,Poor,23.8,81,High,12.1,Mild,Student,0,0
1045,32,Female,Japan,1.6,150.9,6.8,Good,29.3,68,Low,11.8,None,Office,0,0
1046,45,Male,Australia,1.2,117.0,5.5,Fair,29.0,72,Medium,13.9,Mild,Other,0,0
1047,42,Male,South Korea,3.5,335.8,5.9,Fair,19.0,76,Medium,5.3,Mild,Healthcare,0,0
1048,18,Male,India,1.6,148.4,5.5,Fair,20.9,68,Medium,13.3,Mild,Student,0,0
1049,52,Female,Belgium,1.4,134.6,7.6,Good,23.2,74,Low,15.0,Mild,Office,0,0
1050,51,Female,Spain,2.2,210.3,6.7,Good,23.3,50,Low,3.5,Mild,Healthcare,0,0
1051,27,Male,Switzerland,0.0,0.0,5.3,Fair,25.8,70,Medium,1.8,Mild,Service,0,1
1052,39,Male,Sweden,1.5,144.3,8.5,Excellent,17.2,66,Low,1.6,None,Student,1,1
1053,40,Male,Italy,1.4,132.7,7.2,Good,23.8,75,Low,5.7,None,Student,1,0
1054,38,Female,Netherlands,6.2,588.3,5.5,Fair,26.2,90,Medium,12.1,Mild,Service,0,0
1055,28,Male,India,3.6,344.5,5.5,Fair,27.5,77,Medium,11.3,Mild,Healthcare,0,0
1056,26,Male,Japan,1.9,177.5,6.7,Good,21.7,77,Low,3.0,None,Other,1,0
1057,34,Female,UK,1.3,128.2,5.3,Fair,19.9,92,Medium,8.0,Mild,Service,1,1
1058,49,Female,South Korea,0.0,0.0,8.6,Excellent,22.7,66,Low,5.4,None,Service,0,0
1059,41,Other,Spain,0.3,28.8,8.3,Excellent,26.2,61,Low,12.5,None,Office,0,0
1060,30,Female,Canada,0.0,0.9,6.6,Good,19.2,56,Low,12.1,None,Student,0,0
1061,44,Male,China,1.0,98.3,6.4,Good,22.9,85,Low,12.2,None,Other,1,0
1062,18,Male,Italy,2.5,236.0,5.6,Fair,22.2,82,Medium,7.9,Mild,Other,0,1
1063,48,Male,Mexico,2.2,210.7,7.0,Good,17.9,56,Low,12.1,None,Other,0,0
1064,18,Male,Brazil,1.2,110.3,7.2,Good,17.7,81,Low,11.0,None,Student,1,1
1065,30,Female,Spain,2.4,230.2,7.5,Good,30.0,76,Low,7.9,None,Other,0,0
1066,21,Female,Canada,0.4,33.3,7.3,Good,27.3,56,Low,11.6,None,Office,0,0
1067,19,Female,Finland,3.2,300.8,5.5,Fair,28.0,76,Medium,5.7,Mild,Healthcare,0,1
1068,48,Male,Brazil,3.6,346.4,5.6,Fair,22.6,73,Medium,11.7,Mild,Office,0,0
1069,29,Female,USA,3.2,307.7,6.7,Good,24.6,71,Low,9.4,None,Healthcare,0,0
1070,39,Female,Italy,4.1,393.4,5.5,Fair,26.3,58,Medium,12.9,Mild,Student,0,0
1071,34,Male,UK,0.2,21.3,8.6,Excellent,30.3,97,Low,13.4,Mild,Service,1,0
1072,40,Female,Japan,2.6,243.2,6.6,Good,25.6,59,Low,5.8,None,Service,0,0
1073,35,Male,Switzerland,1.1,101.7,5.1,Fair,21.3,61,Medium,4.3,Mild,Other,0,1
1074,19,Male,Italy,0.8,73.4,6.8,Good,26.7,57,Low,4.2,None,Other,0,0
1075,46,Female,Italy,0.4,35.9,6.7,Good,15.0,83,Low,4.9,None,Student,0,0
1076,29,Female,China,6.2,590.7,7.7,Good,20.5,62,Low,0.8,None,Service,0,0
1077,18,Male,Belgium,3.9,367.4,6.5,Good,24.4,68,Low,14.0,None,Healthcare,0,0
1078,29,Male,Finland,4.9,468.7,7.0,Good,26.6,77,Low,1.9,None,Student,0,0
1079,53,Other,Spain,3.0,287.8,6.4,Good,26.8,50,Low,13.2,Mild,Service,1,0
1080,45,Female,Germany,1.3,119.5,8.0,Excellent,22.4,61,Low,7.3,None,Healthcare,1,0
1081,30,Female,Belgium,3.5,333.2,8.1,Excellent,23.5,64,Low,13.5,None,Other,0,0
1082,30,Male,Japan,6.0,571.3,5.0,Fair,22.7,83,Medium,14.0,Mild,Other,0,1
1083,31,Male,Switzerland,3.3,312.3,5.8,Fair,26.8,70,Medium,12.3,Mild,Service,0,0
1084,59,Male,Norway,2.3,221.5,6.4,Good,26.1,66,Low,6.1,Mild,Healthcare,0,0
1085,39,Male,Italy,2.9,276.2,7.7,Good,23.6,82,Low,6.2,None,Student,1,0
1086,40,Male,Japan,4.2,396.4,5.6,Fair,21.5,67,Medium,14.5,Mild,Service,0,1
1087,47,Male,China,2.5,235.2,4.0,Poor,25.6,84,High,5.1,Mild,Service,0,1
1088,37,Female,Sweden,2.3,220.9,7.6,Good,24.4,98,Low,6.2,None,Office,1,0
1089,31,Male,Norway,1.5,140.9,5.8,Fair,30.0,83,Medium,4.4,Moderate,Office,0,0
1090,32,Female,China,3.0,288.0,6.1,Good,23.8,92,Low,7.7,None,Office,0,0
1091,34,Male,South Korea,0.6,56.7,6.4,Good,23.1,76,Low,9.2,None,Service,0,0
1092,34,Male,Spain,1.9,182.7,4.2,Poor,20.7,73,High,9.9,Mild,Healthcare,0,0
1093,43,Male,Belgium,2.3,219.2,5.2,Fair,30.1,71,Medium,2.4,Moderate,Student,0,1
1094,35,Male,India,0.9,86.5,7.9,Good,24.3,81,Low,5.2,None,Student,0,1
1095,43,Male,South Korea,2.5,234.3,6.6,Good,25.0,58,Low,14.9,None,Other,0,1
1096,34,Female,Norway,3.9,373.4,7.6,Good,30.8,82,Low,1.1,Mild,Service,0,1
1097,35,Female,Canada,4.7,444.2,8.2,Excellent,28.6,68,Low,5.6,None,Office,0,1
1098,18,Female,Canada,2.1,203.8,4.7,Poor,18.5,77,High,3.2,Mild,Student,1,1
1099,45,Male,Finland,1.8,172.7,6.3,Good,28.8,72,Low,4.2,None,Healthcare,0,0
1100,39,Female,South Korea,2.1,200.3,6.6,Good,28.6,78,Low,7.0,None,Healthcare,0,0
1101,46,Female,Germany,3.4,326.7,8.3,Excellent,17.0,79,Low,14.8,None,Service,0,0
1102,18,Male,Netherlands,1.6,148.6,5.5,Fair,30.1,73,Medium,12.2,Moderate,Healthcare,0,0
1103,60,Female,India,1.6,148.4,7.2,Good,21.7,73,Low,3.6,Mild,Other,0,1
1104,33,Female,France,2.9,276.1,8.1,Excellent,27.0,66,Low,2.1,None,Service,0,0
1105,48,Female,Belgium,3.3,311.4,7.6,Good,21.9,72,Low,9.1,None,Service,0,1
1106,22,Female,India,2.8,266.1,7.2,Good,33.1,63,Low,13.1,Mild,Other,1,0
1107,42,Female,UK,2.7,255.2,5.7,Fair,24.8,59,Medium,3.0,Mild,Other,0,0
1108,22,Female,Norway,1.8,168.5,8.0,Excellent,27.6,54,Low,2.9,None,Healthcare,0,1
1109,27,Male,India,2.5,240.4,4.7,Poor,24.6,78,High,10.3,Mild,Office,0,0
1110,57,Female,China,0.0,0.0,7.6,Good,19.8,59,Low,4.5,Mild,Student,1,0
1111,32,Female,South Korea,4.8,458.3,4.2,Poor,23.7,78,High,0.6,Mild,Service,1,0
1112,37,Female,Germany,2.7,260.5,8.7,Excellent,18.4,72,Low,4.5,None,Service,0,0
1113,45,Other,Italy,5.7,537.3,4.8,Poor,25.2,60,High,3.2,Mild,Student,1,0
1114,40,Male,Germany,4.4,421.1,5.8,Fair,23.2,55,Medium,4.9,Mild,Healthcare,1,0
1115,36,Male,Brazil,1.3,121.3,8.8,Excellent,18.4,74,Low,12.2,None,Student,0,0
1116,39,Male,Brazil,2.0,185.6,7.2,Good,22.2,59,Low,10.1,None,Office,0,0
1117,63,Male,Japan,0.8,80.4,6.0,Good,19.7,73,Low,4.2,Mild,Healthcare,0,0
1118,34,Male,Germany,1.5,142.1,6.9,Good,22.2,76,Low,6.1,None,Service,0,1
1119,37,Female,Norway,0.2,14.7,7.3,Good,23.4,59,Low,3.2,None,Student,0,0
1120,47,Male,Netherlands,1.1,105.9,7.3,Good,26.9,56,Low,8.3,None,Student,0,0
1121,48,Female,Norway,0.9,90.0,6.6,Good,20.5,68,Low,3.4,None,Healthcare,0,1
1122,49,Female,Switzerland,3.8,363.1,6.0,Good,20.7,68,Low,13.9,None,Service,0,0
1123,42,Male,Netherlands,0.1,6.6,7.8,Good,25.4,62,Low,4.0,None,Student,0,0
1124,21,Male,China,5.8,554.7,5.8,Fair,24.2,52,Medium,10.7,Mild,Other,0,0
1125,54,Female,USA,2.0,191.6,5.4,Fair,27.0,81,Medium,5.9,Moderate,Student,0,1
1126,21,Female,Sweden,4.5,429.5,5.9,Fair,23.2,71,Medium,13.4,Mild,Student,0,0
1127,38,Female,Sweden,1.1,100.1,6.8,Good,26.2,76,Low,4.7,None,Office,0,1
1128,25,Female,Japan,3.7,348.4,6.9,Good,15.0,71,Low,0.2,None,Office,1,0
1129,34,Female,Finland,0.3,28.2,7.2,Good,21.1,79,Low,1.6,None,Student,0,1
1130,38,Female,Finland,0.3,27.4,5.4,Fair,24.1,67,Medium,1.0,Mild,Student,1,0
1131,38,Female,Finland,4.1,393.5,7.0,Good,23.6,68,Low,4.7,None,Office,0,0
1132,40,Female,Canada,2.3,220.1,6.4,Good,24.6,62,Low,10.1,None,Other,0,0
1133,54,Female,India,2.2,209.3,6.0,Fair,27.5,73,Medium,7.7,Moderate,Service,0,0
1134,40,Male,Brazil,1.0,94.5,8.0,Good,21.9,66,Low,3.7,None,Healthcare,0,0
1135,32,Female,Germany,1.2,113.3,6.0,Fair,25.2,65,Medium,15.0,Mild,Student,0,0
1136,46,Male,Italy,0.1,10.1,9.1,Excellent,23.1,53,Low,1.0,None,Service,0,1
1137,49,Female,Finland,1.7,162.9,8.8,Excellent,25.9,66,Low,9.3,None,Student,0,1
1138,20,Male,Netherlands,2.9,274.0,7.8,Good,26.0,75,Low,12.0,None,Office,0,0
1139,42,Male,Germany,2.6,248.8,5.8,Fair,19.6,69,Medium,14.4,Mild,Student,1,1
1140,43,Male,Norway,2.6,250.3,7.3,Good,25.4,76,Low,5.3,None,Service,0,1
1141,31,Male,Germany,0.0,0.0,7.3,Good,26.4,59,Low,8.6,None,Healthcare,0,0
1142,51,Male,Brazil,2.8,265.5,5.7,Fair,24.6,65,Medium,3.8,Moderate,Office,0,1
1143,33,Female,Canada,2.0,192.1,8.0,Good,25.5,74,Low,0.5,None,Other,1,0
1144,36,Male,Canada,1.3,125.5,6.8,Good,24.7,70,Low,7.8,None,Student,0,0
1145,32,Male,Spain,0.6,61.5,4.0,Poor,20.9,50,High,8.9,Mild,Healthcare,0,0
1146,35,Male,UK,3.5,332.1,8.2,Excellent,22.1,66,Low,4.1,None,Service,1,0
1147,21,Female,USA,0.0,0.0,8.8,Excellent,24.7,59,Low,3.5,None,Office,0,0
1148,18,Male,UK,0.6,61.7,6.8,Good,23.7,68,Low,4.2,None,Healthcare,0,1
1149,54,Male,India,2.7,258.5,7.3,Good,21.4,50,Low,7.9,Mild,Other,0,1
1150,24,Male,Belgium,1.7,164.2,7.2,Good,21.2,72,Low,10.2,None,Student,0,1
1151,23,Female,Australia,3.1,291.4,6.0,Fair,23.7,78,Medium,10.8,Mild,Office,0,0
1152,18,Male,UK,2.6,251.2,9.8,Excellent,18.4,65,Low,4.2,None,Healthcare,0,0
1153,27,Male,South Korea,1.5,140.7,6.0,Good,22.0,67,Low,12.8,None,Service,0,0
1154,19,Male,Belgium,0.0,0.0,7.1,Good,29.0,62,Low,7.3,None,Service,0,0
1155,54,Female,Australia,3.6,344.8,5.1,Fair,25.1,87,Medium,8.2,Moderate,Other,0,0
1156,47,Male,Mexico,2.2,212.9,7.7,Good,22.2,84,Low,3.4,None,Student,0,1
1157,26,Female,India,0.5,50.1,7.8,Good,22.2,81,Low,5.7,None,Other,0,0
1158,62,Male,Canada,0.0,0.0,8.0,Excellent,33.6,88,Low,0.8,Moderate,Healthcare,0,1
1159,46,Female,USA,3.0,284.9,5.1,Fair,23.9,84,Medium,8.7,Mild,Office,0,0
1160,31,Male,France,1.5,147.0,7.1,Good,26.1,65,Low,11.2,None,Office,0,0
1161,18,Male,USA,0.8,74.2,7.4,Good,21.1,71,Low,8.2,None,Healthcare,1,0
1162,62,Male,India,4.3,405.4,4.8,Poor,26.0,77,High,4.9,Moderate,Office,1,0
1163,18,Male,Canada,0.0,0.0,7.5,Good,18.5,73,Low,12.5,None,Healthcare,0,0
1164,18,Male,Italy,2.1,201.9,5.9,Fair,22.4,56,Medium,0.9,Mild,Other,1,1
1165,47,Female,Netherlands,3.6,340.8,6.1,Good,22.8,78,Low,3.7,None,Student,0,0
1166,64,Other,Germany,3.2,307.1,7.2,Good,15.4,76,Low,0.8,Mild,Service,1,0
1167,51,Male,South Korea,0.5,51.8,7.2,Good,25.9,76,Low,5.9,Mild,Service,0,0
1168,41,Female,Mexico,4.5,425.2,5.4,Fair,22.0,75,Medium,3.8,Mild,Service,0,0
1169,42,Female,Canada,4.6,439.8,4.9,Poor,27.3,72,High,10.2,Mild,Office,0,0
1170,45,Female,Japan,4.0,383.5,6.2,Good,23.0,78,Low,1.2,None,Other,1,0
1171,44,Male,India,1.2,114.0,7.1,Good,20.1,50,Low,0.5,None,Other,0,1
1172,38,Female,Spain,2.2,205.4,6.7,Good,26.1,76,Low,8.3,None,Service,0,0
1173,36,Male,Italy,4.4,416.8,6.2,Good,23.5,82,Low,11.2,None,Other,0,1
1174,34,Female,Canada,3.2,300.8,6.2,Good,24.2,88,Low,7.0,None,Healthcare,0,0
1175,25,Male,Sweden,1.5,146.6,8.5,Excellent,26.1,76,Low,4.2,None,Service,1,0
1176,31,Male,Norway,2.2,207.2,6.9,Good,24.9,61,Low,7.5,None,Service,0,0
1177,18,Male,Japan,0.2,20.2,7.2,Good,21.5,64,Low,5.1,None,Student,1,0
1178,33,Male,Norway,4.2,401.3,6.1,Good,17.2,76,Low,4.4,None,Service,0,0
1179,23,Female,UK,2.3,223.0,6.1,Good,20.2,75,Low,6.7,None,Office,0,1
1180,21,Male,Germany,5.1,485.9,8.5,Excellent,23.3,62,Low,9.2,None,Healthcare,0,1
1181,37,Female,South Korea,0.0,0.0,7.7,Good,23.9,71,Low,8.7,None,Other,1,1
1182,51,Male,USA,1.0,99.1,7.8,Good,29.8,68,Low,1.6,Mild,Office,1,1
1183,46,Male,South Korea,2.4,230.0,5.7,Fair,32.3,68,Medium,3.3,Moderate,Healthcare,0,1
1184,18,Female,Italy,5.9,559.7,7.3,Good,23.5,73,Low,0.1,None,Student,0,0
1185,23,Other,Germany,2.6,248.6,5.4,Fair,25.7,71,Medium,6.6,Mild,Service,0,1
1186,46,Male,Japan,1.4,129.2,7.2,Good,22.2,86,Low,11.6,None,Other,0,0
1187,23,Male,Switzerland,2.5,240.0,6.8,Good,21.3,51,Low,6.2,None,Service,1,0
1188,32,Female,India,1.5,141.2,8.4,Excellent,23.1,70,Low,15.0,None,Office,0,0
1189,41,Male,Switzerland,3.9,372.4,5.8,Fair,21.6,71,Medium,11.3,Mild,Service,0,0
1190,23,Female,China,3.8,360.2,7.1,Good,21.0,53,Low,5.6,None,Healthcare,0,1
1191,36,Female,UK,4.9,467.0,6.7,Good,21.8,79,Low,14.6,None,Service,1,1
1192,18,Male,Mexico,0.0,3.5,6.1,Good,21.3,78,Low,9.6,None,Service,1,0
1193,27,Male,Italy,0.0,0.0,7.6,Good,24.0,54,Low,13.8,None,Student,0,0
1194,38,Male,USA,2.2,204.3,6.5,Good,24.6,79,Low,1.3,None,Service,0,1
1195,18,Male,Switzerland,3.7,353.8,6.4,Good,19.4,63,Low,8.4,None,Student,0,0
1196,40,Female,Italy,4.0,383.5,6.0,Fair,25.4,75,Medium,13.6,Mild,Office,0,0
1197,34,Female,Germany,2.9,271.7,6.6,Good,23.7,73,Low,9.8,None,Student,1,0
1198,41,Female,Spain,3.7,353.5,6.5,Good,23.2,74,Low,14.8,None,Student,1,0
1199,37,Female,France,4.8,453.4,6.9,Good,25.3,51,Low,14.9,None,Office,1,1
1200,51,Male,Spain,1.3,125.2,7.2,Good,30.0,53,Low,11.9,Moderate,Student,0,0
1201,36,Female,Australia,4.7,446.6,7.4,Good,23.4,74,Low,4.2,None,Service,0,0
1202,29,Male,Mexico,4.7,450.9,7.3,Good,20.3,77,Low,12.8,None,Office,0,0
1203,36,Female,Netherlands,1.7,158.8,8.5,Excellent,26.1,61,Low,10.6,None,Office,0,0
1204,41,Male,Finland,1.1,102.2,7.7,Good,26.2,84,Low,1.6,None,Student,1,1
1205,35,Female,USA,3.6,345.5,6.6,Good,25.1,65,Low,5.8,None,Student,1,0
1206,35,Female,Germany,5.5,521.2,7.5,Good,23.9,69,Low,13.1,None,Healthcare,0,0
1207,26,Male,Netherlands,1.2,117.2,7.0,Good,19.6,68,Low,10.6,None,Office,0,0
1208,27,Male,Norway,5.4,511.1,6.5,Good,19.4,75,Low,6.4,None,Other,0,0
1209,18,Female,Brazil,1.1,100.6,3.8,Poor,22.5,69,High,9.2,Mild,Service,0,0
1210,55,Male,Mexico,2.2,206.2,5.6,Fair,19.9,68,Medium,14.1,Moderate,Student,1,0
1211,20,Female,Italy,0.8,76.6,7.7,Good,27.2,69,Low,9.0,None,Office,1,0
1212,26,Female,Germany,3.1,298.9,8.1,Excellent,17.7,73,Low,3.4,None,Office,1,1
1213,26,Male,Netherlands,2.7,256.8,7.2,Good,23.8,73,Low,10.0,None,Service,1,0
1214,45,Male,Netherlands,2.6,244.6,7.3,Good,23.4,74,Low,4.0,None,Office,0,0
1215,31,Female,France,1.6,148.1,7.6,Good,26.2,70,Low,9.3,None,Other,0,1
1216,49,Male,USA,1.9,176.6,6.8,Good,26.9,77,Low,9.7,None,Healthcare,0,0
1217,26,Male,Germany,2.4,228.0,5.5,Fair,20.9,72,Medium,5.4,Mild,Service,0,0
1218,38,Female,Finland,2.1,200.3,7.5,Good,29.1,73,Low,11.1,None,Other,1,0
1219,24,Female,Australia,2.4,231.4,5.1,Fair,19.8,75,Medium,4.4,Mild,Office,0,0
1220,60,Male,Sweden,0.3,24.2,7.6,Good,27.4,76,Low,0.2,Mild,Office,0,0
1221,20,Male,Switzerland,0.0,0.0,8.7,Excellent,26.4,78,Low,5.3,None,Student,0,0
1222,38,Female,Japan,3.0,286.9,6.9,Good,16.7,70,Low,12.9,None,Service,0,0
1223,42,Female,Italy,3.1,291.6,7.2,Good,19.8,76,Low,8.7,None,Healthcare,1,1
1224,39,Female,Finland,2.9,270.9,7.9,Good,27.6,83,Low,12.7,None,Student,0,1
1225,32,Male,Norway,3.3,312.7,6.3,Good,24.7,62,Low,1.9,None,Office,0,0
1226,33,Female,Australia,1.8,173.0,8.5,Excellent,24.3,70,Low,2.9,None,Healthcare,0,0
1227,35,Female,Spain,2.0,187.4,7.9,Good,15.0,67,Low,2.5,None,Service,1,0
1228,33,Female,India,1.8,169.4,6.9,Good,23.3,83,Low,11.8,None,Other,0,1
1229,46,Female,Australia,0.0,0.0,4.4,Poor,21.3,57,High,9.2,Mild,Healthcare,0,1
1230,61,Male,Finland,3.4,319.4,6.4,Good,19.0,65,Low,5.0,Mild,Student,0,0
1231,28,Female,USA,3.7,349.4,6.3,Good,26.7,84,Low,11.7,None,Other,0,0
1232,18,Male,UK,3.9,370.3,6.8,Good,24.2,73,Low,6.5,None,Other,1,1
1233,33,Male,Italy,2.0,193.2,8.4,Excellent,20.6,75,Low,9.2,None,Healthcare,1,0
1234,65,Female,China,1.4,135.3,8.0,Excellent,20.9,68,Low,12.8,Mild,Healthcare,0,0
1235,25,Female,Japan,1.8,170.5,7.0,Good,24.4,74,Low,6.4,None,Student,0,1
1236,54,Female,Switzerland,1.7,164.0,6.4,Good,25.9,70,Low,11.3,Mild,Healthcare,1,0
1237,55,Female,Belgium,0.0,0.0,4.8,Poor,27.0,59,High,8.5,Moderate,Service,0,0
1238,28,Male,Brazil,2.9,279.8,7.5,Good,26.1,85,Low,13.6,None,Other,0,0
1239,41,Female,Australia,3.8,357.7,6.9,Good,23.9,72,Low,6.8,None,Other,0,0
1240,54,Male,China,2.8,268.4,7.8,Good,20.6,73,Low,4.5,Mild,Student,0,0
1241,30,Female,UK,2.5,240.7,7.1,Good,25.4,68,Low,4.0,None,Healthcare,0,0
1242,32,Male,Switzerland,1.6,148.1,6.1,Good,20.1,86,Low,2.9,None,Healthcare,0,0
1243,28,Female,Germany,3.6,346.1,7.1,Good,24.4,77,Low,5.3,None,Other,0,1
1244,22,Male,Switzerland,2.4,225.0,7.1,Good,23.4,68,Low,6.5,None,Other,0,0
1245,27,Female,Spain,0.7,63.8,8.1,Excellent,27.2,72,Low,2.0,None,Student,1,0
1246,20,Female,Norway,4.5,426.1,6.0,Good,26.9,63,Low,11.0,None,Healthcare,0,0
1247,35,Male,Spain,3.5,329.7,5.8,Fair,26.3,70,Medium,14.1,Mild,Office,0,0
1248,25,Female,USA,5.0,473.3,6.5,Good,25.9,67,Low,6.2,None,Healthcare,1,0
1249,37,Female,Japan,4.2,403.2,6.3,Good,23.6,58,Low,13.9,None,Student,0,0
1250,18,Female,India,1.6,148.7,6.2,Good,30.2,72,Low,6.3,Mild,Other,0,1
1251,38,Female,Netherlands,2.1,196.9,6.1,Good,26.4,67,Low,3.3,None,Other,0,0
1252,45,Male,Spain,4.0,381.6,7.9,Good,29.9,86,Low,12.9,None,Office,0,0
1253,18,Male,Netherlands,0.7,70.0,6.9,Good,28.2,55,Low,13.5,None,Office,0,0
1254,39,Male,China,5.0,473.5,7.7,Good,22.3,68,Low,9.6,None,Student,0,0
1255,49,Male,Australia,3.0,284.2,9.2,Excellent,21.8,74,Low,13.8,None,Healthcare,0,0
1256,20,Male,Finland,3.7,355.5,6.3,Good,26.0,80,Low,5.2,None,Other,0,0
1257,55,Female,India,3.0,283.5,5.8,Fair,19.2,67,Medium,4.8,Moderate,Service,0,0
1258,40,Male,China,2.6,245.1,5.5,Fair,22.6,94,Medium,12.8,Mild,Service,0,0
1259,26,Male,Canada,2.1,196.1,8.1,Excellent,21.3,67,Low,4.2,None,Service,0,0
1260,34,Male,Finland,2.3,216.6,6.6,Good,23.9,61,Low,13.0,None,Other,1,1
1261,41,Female,India,0.0,0.0,7.2,Good,15.5,68,Low,3.6,None,Other,1,0
1262,35,Female,Italy,3.3,317.7,6.2,Good,32.6,89,Low,10.4,Mild,Service,0,0
1263,41,Male,Germany,5.8,548.0,6.1,Good,26.8,83,Low,12.3,None,Office,0,1
1264,23,Female,Brazil,1.3,119.3,10.0,Excellent,28.1,87,Low,13.0,None,Service,0,0
1265,37,Male,USA,0.3,28.3,6.3,Good,24.6,84,Low,14.5,None,Office,0,0
1266,18,Other,India,4.9,461.0,3.9,Poor,28.8,91,High,4.5,Mild,Student,0,1
1267,33,Female,Brazil,3.1,291.3,6.6,Good,26.2,71,Low,8.2,None,Service,0,0
1268,24,Male,South Korea,3.9,366.4,5.9,Fair,27.3,90,Medium,14.3,Mild,Service,0,0
1269,26,Female,Canada,3.3,309.2,7.4,Good,26.0,75,Low,0.2,None,Office,1,0
1270,49,Female,Netherlands,1.1,105.4,6.9,Good,29.4,77,Low,9.2,None,Office,0,1
1271,48,Male,China,3.9,367.0,7.9,Good,21.2,86,Low,2.2,None,Office,0,0
1272,42,Female,Mexico,1.8,167.2,4.4,Poor,30.2,94,High,6.6,Moderate,Student,1,0
1273,21,Male,Japan,1.3,119.8,7.6,Good,23.4,87,Low,1.3,None,Service,0,1
1274,31,Male,UK,3.5,328.5,8.2,Excellent,20.8,58,Low,5.0,None,Office,0,0
1275,49,Male,Netherlands,2.8,262.1,6.2,Good,25.8,71,Low,10.4,None,Student,0,0
1276,36,Male,Mexico,3.1,296.4,6.1,Good,19.6,71,Low,12.2,None,Student,0,0
1277,62,Male,South Korea,3.1,291.3,6.1,Good,22.1,61,Low,8.4,Mild,Other,1,1
1278,39,Female,Australia,3.7,355.8,5.9,Fair,22.9,60,Medium,6.5,Mild,Office,0,0
1279,37,Male,Italy,4.4,422.3,7.8,Good,23.1,66,Low,5.1,None,Office,0,0
1280,31,Male,Netherlands,2.8,267.6,5.6,Fair,27.9,78,Medium,13.6,Mild,Office,0,0
1281,36,Female,Sweden,4.7,443.4,7.1,Good,27.3,80,Low,3.0,None,Other,0,0
1282,33,Female,Switzerland,4.2,398.8,4.6,Poor,22.8,69,High,10.3,Mild,Office,0,1
1283,43,Other,Australia,3.6,342.9,5.0,Fair,25.8,52,Medium,2.1,Mild,Office,0,0
1284,46,Female,Norway,1.6,155.6,7.0,Good,32.4,72,Low,13.5,Mild,Student,0,0
1285,25,Female,Finland,4.0,377.1,5.2,Fair,19.2,88,Medium,4.3,Mild,Office,0,1
1286,19,Female,Italy,3.1,298.4,5.3,Fair,20.0,64,Medium,5.6,Mild,Service,0,1
1287,18,Female,Australia,0.5,46.2,8.4,Excellent,24.2,86,Low,2.7,None,Healthcare,0,0
1288,41,Female,Sweden,0.7,68.7,7.5,Good,34.8,69,Low,14.0,Mild,Office,0,0
1289,21,Male,Belgium,0.7,64.4,7.0,Good,20.7,80,Low,13.3,None,Student,1,0
1290,18,Male,India,0.7,67.5,7.7,Good,21.7,82,Low,7.1,None,Other,1,0
1291,39,Female,South Korea,0.9,81.4,5.2,Fair,26.2,65,Medium,0.5,Mild,Other,0,0
1292,64,Male,Netherlands,3.8,356.7,5.4,Fair,27.8,70,Medium,13.6,Moderate,Healthcare,1,1
1293,34,Male,Japan,2.6,249.2,6.9,Good,24.0,77,Low,14.4,None,Student,0,0
1294,45,Female,Italy,3.8,363.3,4.7,Poor,24.9,71,High,1.0,Mild,Office,1,0
1295,35,Female,UK,0.8,77.9,5.2,Fair,23.9,57,Medium,9.1,Mild,Other,0,0
1296,33,Male,Italy,0.2,17.8,6.6,Good,24.7,71,Low,14.3,None,Other,1,1
1297,46,Female,USA,1.2,114.5,7.1,Good,18.2,75,Low,10.4,None,Service,0,1
1298,31,Female,Belgium,3.5,336.2,6.2,Good,24.7,67,Low,7.7,None,Healthcare,0,0
1299,38,Female,Switzerland,3.6,344.1,5.4,Fair,24.1,59,Medium,5.1,Mild,Service,1,1
1300,38,Female,Switzerland,2.2,205.1,5.7,Fair,25.5,89,Medium,11.1,Mild,Other,0,0
1301,26,Female,Sweden,3.0,283.4,6.3,Good,21.8,76,Low,14.8,None,Office,1,0
1302,46,Female,Norway,1.7,165.3,7.7,Good,26.0,82,Low,9.6,None,Office,0,0
1303,32,Male,USA,1.4,134.1,8.6,Excellent,27.3,72,Low,7.6,None,Service,0,1
1304,25,Female,South Korea,3.1,294.2,6.7,Good,34.1,72,Low,2.5,Mild,Office,0,0
1305,41,Female,Germany,3.5,332.0,4.2,Poor,22.1,84,High,12.9,Mild,Healthcare,1,0
1306,24,Female,Australia,5.2,492.6,7.3,Good,20.1,71,Low,5.8,None,Service,0,0
1307,35,Female,Canada,1.0,95.2,7.7,Good,24.7,67,Low,11.5,None,Student,0,0
1308,34,Male,Canada,0.8,77.4,6.2,Good,26.1,80,Low,5.2,None,Office,0,0
1309,48,Female,Belgium,1.8,166.9,6.5,Good,24.5,84,Low,1.8,None,Office,0,0
1310,40,Male,Italy,3.4,324.9,8.2,Excellent,24.5,66,Low,10.0,None,Student,0,1
1311,34,Male,Spain,5.5,523.6,8.1,Excellent,21.8,81,Low,8.2,None,Healthcare,0,0
1312,44,Male,Germany,2.7,257.7,5.7,Fair,17.8,58,Medium,2.3,Mild,Service,0,0
1313,51,Male,Italy,1.2,114.6,9.5,Excellent,29.0,69,Low,12.4,Mild,Service,1,1
1314,41,Female,Germany,0.8,75.2,7.5,Good,30.5,75,Low,4.5,Mild,Healthcare,0,0
1315,35,Male,Australia,1.6,154.5,9.8,Excellent,21.1,64,Low,6.6,None,Service,0,0
1316,19,Male,India,2.8,270.2,5.0,Poor,21.6,77,High,7.5,Mild,Office,0,1
1317,22,Female,Spain,3.6,339.0,5.9,Fair,17.7,76,Medium,3.7,Mild,Healthcare,0,1
1318,31,Male,India,2.8,268.6,4.0,Poor,22.4,77,High,7.5,Mild,Office,0,0
1319,27,Male,Italy,1.4,134.9,6.6,Good,25.4,80,Low,1.0,None,Office,0,1
1320,32,Male,Mexico,0.5,51.1,7.9,Good,21.4,69,Low,2.8,None,Office,1,0
1321,35,Male,Finland,3.5,331.0,8.7,Excellent,27.0,62,Low,4.1,None,Student,1,1
1322,41,Male,Mexico,1.7,159.0,5.9,Fair,20.2,65,Medium,5.4,Mild,Healthcare,0,0
1323,34,Male,France,1.8,170.8,7.2,Good,26.5,67,Low,3.7,None,Office,1,0
1324,40,Female,Germany,1.0,93.0,6.5,Good,25.2,91,Low,7.1,None,Healthcare,0,0
1325,35,Male,South Korea,0.2,16.0,7.8,Good,22.6,56,Low,9.9,None,Other,0,0
1326,18,Male,Sweden,5.0,471.9,6.1,Good,23.0,63,Low,5.2,None,Office,0,0
1327,23,Female,Finland,1.5,143.6,6.5,Good,26.8,62,Low,0.6,None,Service,0,1
1328,33,Male,Canada,0.0,0.0,4.9,Poor,34.9,85,High,9.5,Moderate,Other,0,0
1329,20,Female,Italy,2.7,260.7,6.9,Good,23.5,73,Low,13.2,None,Service,1,1
1330,42,Female,South Korea,2.3,216.4,8.4,Excellent,28.0,60,Low,1.9,None,Other,0,1
1331,53,Male,Australia,0.0,0.0,5.5,Fair,30.5,70,Medium,2.8,Severe,Student,0,1
1332,49,Female,Netherlands,4.2,400.1,7.5,Good,21.4,68,Low,0.4,None,Student,1,0
1333,32,Male,Switzerland,3.5,331.9,6.6,Good,20.5,67,Low,3.3,None,Other,0,0
1334,52,Male,Switzerland,3.8,357.6,4.0,Poor,24.0,77,High,4.4,Moderate,Other,1,1
1335,36,Female,Italy,2.9,275.7,6.2,Good,24.7,67,Low,6.8,None,Healthcare,0,0
1336,30,Male,South Korea,0.5,51.8,6.6,Good,26.0,76,Low,10.5,None,Student,1,0
1337,27,Female,Norway,2.4,228.6,7.2,Good,20.8,77,Low,6.5,None,Healthcare,0,0
1338,31,Female,Japan,1.8,169.0,7.4,Good,27.0,61,Low,5.5,None,Service,0,0
1339,30,Male,India,1.5,144.9,6.9,Good,19.5,65,Low,10.3,None,Student,0,0
1340,37,Female,Germany,5.0,470.7,7.1,Good,23.9,71,Low,9.7,None,Healthcare,1,0
1341,36,Female,France,1.0,96.2,5.8,Fair,25.3,92,Medium,6.4,Mild,Office,0,0
1342,35,Other,South Korea,1.8,171.5,6.5,Good,18.5,70,Low,5.1,None,Service,1,0
1343,40,Female,South Korea,2.6,242.9,6.4,Good,25.7,74,Low,5.7,None,Student,0,0
1344,49,Female,Mexico,3.1,293.6,7.9,Good,23.1,69,Low,6.1,None,Office,1,0
1345,46,Male,Mexico,5.0,478.7,4.0,Poor,22.2,66,High,1.3,Mild,Other,1,0
1346,18,Female,Norway,2.3,214.2,7.4,Good,25.2,63,Low,2.7,None,Office,0,1
1347,18,Male,Germany,2.9,279.0,8.4,Excellent,18.2,74,Low,9.8,None,Other,0,1
1348,46,Male,Norway,0.7,65.9,7.0,Good,25.6,76,Low,14.0,None,Other,0,0
1349,18,Female,Japan,3.4,319.5,10.0,Excellent,19.2,51,Low,1.3,None,Other,0,0
1350,32,Male,Spain,5.4,513.3,5.6,Fair,25.4,76,Medium,1.8,Mild,Other,0,1
1351,20,Female,Canada,1.9,176.6,6.6,Good,24.4,75,Low,1.5,None,Service,0,0
1352,18,Male,China,3.7,351.9,5.8,Fair,30.0,86,Medium,3.8,Moderate,Other,0,0
1353,41,Female,Belgium,0.4,36.5,6.7,Good,30.0,80,Low,11.9,Mild,Other,0,0
1354,44,Male,Australia,2.0,188.3,7.5,Good,27.1,66,Low,12.5,None,Other,0,1
1355,28,Male,France,2.1,195.5,6.3,Good,23.7,60,Low,13.4,None,Student,0,0
1356,18,Male,Germany,3.0,287.7,5.6,Fair,24.0,65,Medium,11.8,Mild,Healthcare,0,1
1357,28,Female,Canada,2.3,217.6,4.7,Poor,19.4,75,High,6.9,Mild,Office,0,0
1358,39,Male,Germany,4.2,398.4,6.2,Good,16.8,68,Low,8.5,None,Office,0,1
1359,18,Female,Netherlands,1.7,164.3,6.7,Good,28.3,75,Low,10.3,None,Healthcare,0,0
1360,37,Male,Italy,3.6,341.6,6.1,Good,22.3,90,Low,3.7,None,Service,0,1
1361,34,Male,Spain,2.7,260.5,9.3,Excellent,20.5,81,Low,8.2,None,Other,1,0
1362,41,Male,Sweden,0.9,83.8,7.6,Good,16.9,74,Low,7.7,None,Student,1,0
1363,36,Male,France,0.0,0.0,6.4,Good,24.5,69,Low,11.5,None,Office,0,1
1364,23,Female,Japan,2.7,258.4,7.4,Good,22.9,70,Low,3.5,None,Healthcare,1,0
1365,49,Female,Sweden,1.5,139.9,7.8,Good,21.3,78,Low,13.8,None,Other,0,0
1366,33,Male,France,2.9,276.7,6.6,Good,21.1,71,Low,5.8,None,Office,0,1
1367,34,Female,Finland,0.6,57.9,6.4,Good,25.0,75,Low,7.4,None,Office,0,0
1368,23,Female,UK,3.3,313.5,5.3,Fair,24.2,64,Medium,5.0,Mild,Office,1,0
1369,29,Male,UK,4.9,461.0,7.9,Good,17.1,72,Low,1.7,None,Other,0,0
1370,24,Male,Italy,2.1,203.4,6.5,Good,20.4,71,Low,2.7,None,Service,0,0
1371,32,Female,Italy,0.0,0.0,6.8,Good,27.4,74,Low,14.9,None,Healthcare,0,0
1372,55,Male,France,2.4,229.6,8.0,Good,20.9,58,Low,5.2,Mild,Healthcare,0,0
1373,18,Male,Japan,1.4,136.0,6.8,Good,27.6,76,Low,1.7,None,Office,1,0
1374,18,Male,Brazil,1.1,102.5,9.8,Excellent,24.0,71,Low,6.7,None,Service,1,0
1375,52,Female,Switzerland,2.2,207.6,6.0,Good,22.0,55,Low,2.1,Mild,Service,0,0
1376,32,Male,Brazil,4.0,379.5,6.0,Fair,22.4,83,Medium,9.2,Mild,Other,0,0
1377,26,Male,China,1.6,155.3,5.9,Fair,26.3,59,Medium,0.4,Mild,Healthcare,0,0
1378,47,Male,Netherlands,3.5,336.9,5.5,Fair,20.2,68,Medium,8.4,Mild,Office,0,0
1379,27,Male,India,2.2,206.8,7.2,Good,18.6,51,Low,10.3,None,Office,0,1
1380,56,Male,Sweden,2.4,224.6,7.5,Good,21.1,78,Low,1.2,Mild,Service,0,0
1381,43,Female,Canada,4.1,393.1,5.9,Fair,18.9,73,Medium,2.2,Mild,Student,0,1
1382,29,Male,Australia,2.1,197.6,6.7,Good,19.7,85,Low,11.6,None,Other,1,0
1383,60,Female,Canada,3.6,346.7,6.7,Good,19.6,69,Low,6.3,Mild,Service,0,0
1384,27,Male,Brazil,2.2,205.1,8.2,Excellent,24.5,76,Low,1.4,None,Other,0,0
1385,43,Female,Mexico,3.3,317.2,5.8,Fair,16.1,79,Medium,12.9,Mild,Service,0,0
1386,38,Female,Belgium,2.1,199.7,6.9,Good,24.4,73,Low,11.1,None,Service,0,1
1387,50,Male,Canada,2.8,261.9,7.1,Good,23.5,67,Low,2.8,None,Service,0,0
1388,53,Female,Switzerland,2.9,274.1,7.1,Good,26.8,62,Low,5.2,Mild,Student,0,1
1389,35,Female,Mexico,3.5,333.8,6.6,Good,25.2,63,Low,8.5,None,Healthcare,0,0
1390,25,Female,Australia,3.2,305.9,7.7,Good,25.0,78,Low,0.3,None,Office,0,0
1391,40,Male,UK,1.2,117.2,6.0,Fair,20.0,63,Medium,7.3,Mild,Other,0,1
1392,26,Other,Italy,5.2,496.9,6.0,Good,22.3,65,Low,5.1,None,Service,1,0
1393,59,Female,Australia,2.5,241.2,5.9,Fair,17.9,63,Medium,13.9,Moderate,Office,0,0
1394,36,Female,Canada,3.9,368.0,5.6,Fair,28.6,71,Medium,3.4,Mild,Service,0,0
1395,30,Female,Switzerland,0.0,0.0,7.1,Good,29.3,73,Low,6.0,None,Healthcare,0,0
1396,37,Male,Finland,3.7,352.0,7.6,Good,25.8,77,Low,2.4,None,Healthcare,1,0
1397,18,Female,China,3.6,346.6,5.5,Fair,19.1,63,Medium,1.9,Mild,Healthcare,0,0
1398,23,Female,Italy,2.9,270.8,7.7,Good,26.5,71,Low,4.2,None,Service,0,1
1399,49,Female,Netherlands,0.0,0.0,6.6,Good,22.1,50,Low,12.2,None,Office,0,1
1400,27,Male,Spain,1.4,134.6,5.6,Fair,17.3,72,Medium,5.7,Mild,Healthcare,1,1
1401,22,Female,Brazil,1.0,91.6,6.1,Good,22.5,65,Low,2.8,None,Other,0,0
1402,41,Male,Sweden,4.2,403.2,7.5,Good,28.0,51,Low,0.3,None,Student,0,0
1403,49,Female,India,0.7,66.0,5.6,Fair,23.1,58,Medium,8.2,Mild,Student,0,0
1404,43,Male,Switzerland,3.3,316.5,8.9,Excellent,24.4,70,Low,7.4,None,Student,1,1
1405,46,Male,South Korea,2.1,196.2,6.9,Good,19.1,64,Low,3.2,None,Student,0,1
1406,25,Female,Spain,4.1,391.8,4.3,Poor,23.0,72,High,5.4,Mild,Student,1,0
1407,18,Male,Switzerland,2.8,270.1,5.3,Fair,22.9,72,Medium,4.3,Mild,Student,1,0
1408,53,Female,Switzerland,1.5,145.5,7.8,Good,19.8,73,Low,10.7,Mild,Service,0,0
1409,31,Female,Australia,1.3,127.1,5.0,Fair,24.7,69,Medium,5.5,Mild,Office,0,0
1410,31,Male,Australia,1.8,174.6,7.5,Good,22.9,59,Low,7.0,None,Other,0,1
1411,50,Male,China,0.0,0.0,5.6,Fair,26.1,76,Medium,14.8,Mild,Office,0,0
1412,41,Female,Germany,5.2,489.8,6.7,Good,21.8,73,Low,13.4,None,Other,0,1
1413,40,Male,Japan,4.5,424.7,7.9,Good,24.5,57,Low,9.9,None,Healthcare,1,1
1414,60,Female,France,2.6,247.2,7.1,Good,21.0,63,Low,7.2,Mild,Other,0,0
1415,27,Female,Germany,3.9,371.4,7.4,Good,17.6,80,Low,5.3,None,Service,0,0
1416,46,Male,Norway,2.4,232.3,7.5,Good,28.2,57,Low,14.1,None,Healthcare,0,0
1417,35,Male,UK,3.2,299.7,5.2,Fair,22.0,82,Medium,13.7,Mild,Student,0,0
1418,38,Male,Belgium,4.0,378.1,5.0,Poor,20.3,93,High,2.5,Mild,Service,0,0
1419,53,Female,Mexico,2.1,203.5,4.6,Poor,26.0,65,High,3.8,Moderate,Service,1,0
1420,41,Male,South Korea,3.7,347.8,6.8,Good,24.0,63,Low,5.9,None,Office,1,0
1421,41,Male,Italy,0.0,0.0,6.9,Good,18.6,77,Low,6.9,None,Office,0,0
1422,47,Female,Germany,2.8,268.1,5.4,Fair,23.1,67,Medium,8.1,Mild,Healthcare,1,0
1423,30,Female,Sweden,2.5,235.4,7.0,Good,17.3,66,Low,0.6,None,Service,0,1
1424,24,Male,Finland,2.0,189.0,8.6,Excellent,21.3,76,Low,1.0,None,Healthcare,0,1
1425,22,Male,Spain,2.2,208.0,7.5,Good,29.3,64,Low,7.0,None,Student,0,0
1426,18,Female,UK,2.1,203.0,8.3,Excellent,19.7,68,Low,13.8,None,Office,1,0
1427,59,Female,Norway,4.2,395.4,5.9,Fair,21.1,68,Medium,11.1,Moderate,Service,0,0
1428,21,Female,UK,2.4,229.2,6.8,Good,24.8,70,Low,8.1,None,Student,0,1
1429,32,Female,South Korea,6.7,639.5,6.4,Good,19.7,58,Low,0.4,None,Service,1,0
1430,31,Female,Brazil,1.1,103.6,7.9,Good,21.1,66,Low,1.0,None,Student,0,1
1431,38,Female,Japan,3.3,316.5,4.7,Poor,28.1,62,High,9.4,Mild,Other,0,0
1432,44,Female,China,3.8,365.0,8.2,Excellent,20.2,61,Low,2.9,None,Student,0,0
1433,45,Female,Norway,1.9,182.0,7.0,Good,22.9,85,Low,8.6,None,Other,0,0
1434,28,Female,Norway,0.7,64.6,8.5,Excellent,21.1,92,Low,6.8,None,Office,0,0
1435,32,Male,Italy,1.8,173.2,8.0,Good,21.9,60,Low,2.8,None,Other,0,0
1436,38,Male,Germany,0.5,49.2,4.4,Poor,24.5,74,High,7.0,Mild,Healthcare,1,0
1437,32,Female,Mexico,1.3,120.1,7.2,Good,24.0,65,Low,13.3,None,Student,0,0
1438,54,Male,India,3.1,292.7,7.1,Good,21.6,77,Low,3.4,Mild,Office,0,0
1439,40,Female,Canada,6.4,606.6,5.8,Fair,23.5,54,Medium,14.4,Mild,Service,0,0
1440,43,Male,China,5.1,484.8,6.2,Good,27.7,66,Low,3.4,None,Student,1,1
1441,42,Female,Sweden,1.6,150.9,5.7,Fair,23.6,69,Medium,6.8,Mild,Student,1,0
1442,49,Male,Mexico,3.9,372.3,6.2,Good,23.9,52,Low,10.8,None,Other,0,0
1443,37,Female,Netherlands,2.0,185.7,6.3,Good,21.0,73,Low,11.6,None,Other,0,0
1444,19,Female,Norway,1.2,113.5,6.2,Good,26.0,54,Low,4.7,None,Student,0,0
1445,39,Male,Switzerland,2.4,225.7,6.2,Good,20.0,78,Low,0.2,None,Student,1,1
1446,27,Female,Netherlands,0.0,0.0,4.2,Poor,29.3,62,High,9.4,Mild,Healthcare,0,0
1447,28,Male,Australia,0.0,0.0,6.4,Good,23.5,64,Low,4.8,None,Service,0,1
1448,42,Male,Australia,3.9,367.6,5.3,Fair,22.8,71,Medium,7.8,Mild,Healthcare,1,0
1449,49,Male,Spain,4.5,431.9,5.3,Fair,28.7,69,Medium,1.0,Mild,Healthcare,0,1
1450,35,Male,Brazil,0.0,0.0,5.3,Fair,26.8,72,Medium,5.9,Mild,Service,0,0
1451,38,Other,South Korea,4.7,445.2,6.0,Good,29.6,90,Low,9.5,None,Office,0,0
1452,55,Male,Norway,4.2,402.6,5.3,Fair,27.6,83,Medium,1.2,Moderate,Service,1,0
1453,37,Female,UK,2.0,187.8,5.6,Fair,21.6,56,Medium,7.1,Mild,Office,0,0
1454,66,Male,France,3.2,302.3,6.7,Good,22.0,63,Low,6.6,Mild,Student,0,1
1455,41,Female,Italy,5.2,496.5,8.2,Excellent,24.9,69,Low,4.7,None,Healthcare,1,1
1456,18,Male,Switzerland,4.3,412.2,6.5,Good,22.7,58,Low,14.8,None,Student,1,0
1457,44,Female,Germany,3.2,307.9,7.8,Good,27.8,73,Low,14.6,None,Healthcare,0,0
1458,39,Female,Australia,1.5,147.2,6.7,Good,20.2,85,Low,7.3,None,Other,0,0
1459,50,Female,Canada,1.9,179.1,9.7,Excellent,23.4,67,Low,2.8,None,Healthcare,0,0
1460,43,Male,Finland,3.5,337.2,5.1,Fair,22.5,74,Medium,7.0,Mild,Healthcare,0,0
1461,33,Female,Japan,3.3,314.7,4.1,Poor,22.4,62,High,12.7,Mild,Healthcare,0,0
1462,20,Male,Germany,4.2,403.1,7.4,Good,23.9,72,Low,5.2,None,Office,0,1
1463,32,Male,Japan,0.3,31.6,7.8,Good,22.3,67,Low,5.1,None,Other,0,0
1464,24,Male,Germany,3.2,300.9,4.4,Poor,22.4,68,High,12.1,Mild,Office,0,0
1465,28,Male,Australia,3.6,340.0,6.3,Good,19.6,65,Low,9.4,None,Service,0,1
1466,42,Male,India,2.1,203.0,8.8,Excellent,23.8,81,Low,6.1,None,Service,1,1
1467,55,Female,Netherlands,6.1,576.9,7.2,Good,21.1,78,Low,7.8,Mild,Other,0,0
1468,39,Male,India,1.2,114.3,5.0,Poor,21.0,77,High,8.9,Mild,Service,0,1
1469,20,Male,Finland,2.4,229.5,4.2,Poor,23.5,68,High,2.4,Mild,Student,0,1
1470,40,Male,Finland,3.6,341.7,8.4,Excellent,25.0,71,Low,7.2,None,Office,1,1
1471,49,Female,Australia,3.8,360.5,5.4,Fair,30.9,64,Medium,7.8,Moderate,Healthcare,0,0
1472,27,Female,Netherlands,2.1,202.5,7.8,Good,21.4,65,Low,14.9,None,Student,0,1
1473,33,Male,Canada,2.1,202.3,7.5,Good,26.9,66,Low,3.8,None,Healthcare,0,0
1474,35,Female,South Korea,3.5,337.1,6.4,Good,22.9,65,Low,3.7,None,Service,0,1
1475,25,Female,Switzerland,3.2,303.7,5.6,Fair,29.9,67,Medium,11.4,Mild,Office,0,0
1476,42,Male,Switzerland,2.6,250.6,8.4,Excellent,31.8,87,Low,5.0,Mild,Service,0,1
1477,33,Female,Germany,0.0,0.0,4.3,Poor,20.1,75,High,0.8,Mild,Office,1,0
1478,40,Female,China,2.7,258.6,7.9,Good,24.5,73,Low,14.4,None,Healthcare,0,0
1479,24,Female,Norway,4.9,467.7,5.9,Fair,25.4,62,Medium,0.6,Mild,Healthcare,0,0
1480,29,Male,Mexico,3.4,321.5,5.6,Fair,29.6,61,Medium,13.8,Mild,Healthcare,1,0
1481,43,Male,Germany,1.3,127.0,6.7,Good,20.3,56,Low,12.2,None,Other,0,0
1482,30,Male,Germany,0.3,29.6,8.3,Excellent,28.0,83,Low,9.2,None,Service,0,0
1483,55,Female,South Korea,3.9,374.1,4.9,Poor,24.2,74,High,13.2,Moderate,Other,0,1
1484,30,Female,France,1.8,172.0,7.1,Good,16.6,66,Low,2.9,None,Student,1,0
1485,37,Male,Switzerland,4.5,427.8,7.0,Good,23.7,73,Low,2.8,None,Other,1,1
1486,46,Male,Germany,4.5,424.5,6.1,Good,26.7,77,Low,6.7,None,Healthcare,0,1
1487,18,Female,USA,2.3,216.3,5.3,Fair,29.5,58,Medium,14.9,Mild,Office,0,1
1488,18,Female,Netherlands,3.0,283.8,5.6,Fair,24.6,74,Medium,0.1,Mild,Service,1,0
1489,18,Female,Canada,3.2,301.6,8.7,Excellent,23.7,70,Low,2.1,None,Service,1,0
1490,50,Female,France,0.7,66.5,8.0,Excellent,16.8,67,Low,10.8,None,Service,0,1
1491,28,Female,Brazil,5.1,480.7,7.0,Good,25.3,74,Low,3.9,None,Student,0,0
1492,65,Male,Belgium,3.2,308.6,9.1,Excellent,21.4,81,Low,8.3,Mild,Service,0,0
1493,28,Male,India,2.7,259.3,5.6,Fair,22.8,93,Medium,10.7,Mild,Student,0,0
1494,37,Male,India,4.0,378.1,6.4,Good,27.5,79,Low,12.6,None,Healthcare,0,1
1495,53,Female,Sweden,3.0,281.0,6.6,Good,26.1,52,Low,8.4,Mild,Office,0,0
1496,59,Male,Spain,0.9,82.5,8.4,Excellent,25.9,73,Low,1.5,Mild,Healthcare,0,1
1497,59,Female,Belgium,1.3,122.7,4.8,Poor,20.4,69,High,10.4,Moderate,Other,0,0
1498,49,Male,Belgium,0.0,0.0,7.1,Good,18.3,80,Low,7.5,None,Service,0,1
1499,47,Male,India,2.6,246.9,6.6,Good,21.2,74,Low,10.4,None,Other,0,0
1500,42,Female,Canada,3.3,316.2,7.5,Good,19.0,73,Low,0.9,None,Student,0,1
1501,44,Male,Norway,2.2,210.8,6.1,Good,28.3,71,Low,0.1,None,Healthcare,0,0
1502,28,Male,Finland,0.8,72.8,8.3,Excellent,24.7,68,Low,13.6,None,Service,0,1
1503,25,Female,India,1.8,167.0,7.2,Good,31.4,71,Low,8.5,Mild,Student,0,0
1504,34,Male,Germany,1.9,184.9,5.8,Fair,25.8,95,Medium,2.7,Mild,Healthcare,0,0
1505,32,Female,Switzerland,3.8,361.1,7.1,Good,29.7,67,Low,10.6,None,Healthcare,0,0
1506,29,Female,USA,4.6,441.5,6.2,Good,25.7,64,Low,10.6,None,Student,0,0
1507,43,Female,Spain,0.0,0.0,7.6,Good,28.4,69,Low,13.7,None,Office,0,0
1508,46,Female,Finland,2.4,226.3,5.2,Fair,24.1,53,Medium,11.5,Mild,Healthcare,0,0
1509,36,Male,Belgium,1.6,151.4,6.4,Good,29.0,55,Low,12.6,None,Service,0,0
1510,52,Female,Finland,2.1,200.4,7.9,Good,27.5,58,Low,12.5,Mild,Other,1,1
1511,21,Male,France,3.8,357.5,8.1,Excellent,18.5,62,Low,4.4,None,Student,0,1
1512,32,Male,USA,1.8,166.3,7.3,Good,27.6,102,Low,7.8,None,Office,0,1
1513,26,Male,Netherlands,3.5,335.0,6.2,Good,26.7,61,Low,0.5,None,Healthcare,0,0
1514,18,Male,Japan,5.5,521.3,5.5,Fair,16.3,71,Medium,0.6,Mild,Other,0,0
1515,34,Female,UK,1.8,173.3,5.9,Fair,23.5,63,Medium,13.2,Mild,Office,0,0
1516,33,Male,India,2.2,206.6,5.8,Fair,28.2,71,Medium,0.8,Mild,Student,1,0
1517,53,Female,Finland,2.1,203.4,5.7,Fair,15.3,86,Medium,8.2,Moderate,Healthcare,1,1
1518,42,Male,UK,6.1,577.6,6.0,Fair,26.7,87,Medium,13.9,Mild,Healthcare,0,0
1519,22,Male,Netherlands,1.7,166.2,6.0,Good,25.5,64,Low,3.1,None,Student,0,1
1520,57,Female,Germany,4.7,447.0,7.0,Good,24.2,68,Low,6.6,Mild,Other,0,0
1521,49,Male,Japan,2.4,232.4,7.1,Good,36.7,77,Low,9.7,Mild,Other,0,0
1522,41,Female,Netherlands,2.8,261.8,7.9,Good,26.9,78,Low,8.4,None,Service,0,0
1523,32,Male,UK,3.7,355.5,7.1,Good,21.9,71,Low,5.5,None,Healthcare,0,0
1524,23,Male,Sweden,1.9,184.4,7.7,Good,22.8,77,Low,11.8,None,Student,0,0
1525,30,Male,USA,4.0,377.5,5.4,Fair,27.6,60,Medium,6.1,Mild,Healthcare,0,0
1526,48,Female,Australia,2.1,198.1,7.3,Good,26.4,60,Low,5.8,None,Service,1,0
1527,57,Male,France,0.9,85.2,7.2,Good,23.0,65,Low,0.3,Mild,Service,0,0
1528,53,Male,South Korea,4.0,382.4,4.0,Poor,28.0,61,High,13.0,Moderate,Office,1,0
1529,29,Male,Germany,3.4,324.5,6.4,Good,19.8,78,Low,15.0,None,Healthcare,0,0
1530,21,Female,China,1.6,154.0,5.6,Fair,27.6,50,Medium,11.1,Mild,Student,1,0
1531,36,Female,Netherlands,4.2,401.8,4.5,Poor,22.2,70,High,14.6,Mild,Office,0,0
1532,18,Female,Italy,1.0,97.2,6.5,Good,26.6,67,Low,7.4,None,Student,0,0
1533,38,Male,Belgium,3.1,297.8,5.8,Fair,31.2,75,Medium,8.7,Moderate,Service,1,1
1534,33,Female,UK,0.0,0.0,6.1,Good,16.6,67,Low,13.3,None,Other,0,1
1535,29,Female,Netherlands,1.9,182.0,5.0,Poor,22.6,75,High,7.9,Mild,Other,0,0
1536,18,Female,Germany,1.2,117.5,8.9,Excellent,15.3,65,Low,1.1,None,Student,0,0
1537,41,Female,China,0.6,58.1,5.4,Fair,26.5,61,Medium,11.1,Mild,Student,0,0
1538,28,Female,Sweden,2.5,241.0,6.2,Good,28.7,64,Low,2.1,None,Other,0,0
1539,20,Male,Spain,3.0,284.8,7.4,Good,21.3,69,Low,5.1,None,Office,0,0
1540,18,Female,Sweden,3.4,325.1,7.7,Good,25.8,65,Low,12.7,None,Other,0,0
1541,34,Female,Germany,2.5,237.7,5.3,Fair,25.3,63,Medium,4.2,Mild,Service,0,0
1542,56,Male,Brazil,3.1,298.9,6.3,Good,25.4,51,Low,14.0,Mild,Healthcare,0,0
1543,54,Male,Mexico,0.8,77.5,7.5,Good,26.6,81,Low,12.2,Mild,Student,0,1
1544,29,Female,Norway,1.2,112.1,7.2,Good,26.2,72,Low,14.5,None,Office,0,1
1545,27,Male,Spain,2.5,235.0,7.1,Good,22.2,65,Low,1.6,None,Service,0,0
1546,40,Female,Japan,1.2,112.7,5.4,Fair,22.6,83,Medium,4.4,Mild,Healthcare,0,1
1547,23,Male,India,2.5,238.3,5.6,Fair,18.0,58,Medium,11.9,Mild,Office,0,0
1548,38,Male,Australia,1.5,144.9,6.6,Good,15.5,64,Low,10.1,None,Student,0,0
1549,44,Male,Switzerland,2.3,214.9,6.3,Good,23.9,74,Low,11.5,None,Office,1,0
1550,49,Male,Norway,0.0,0.3,7.2,Good,30.8,66,Low,13.1,Mild,Service,0,1
1551,33,Male,Japan,0.0,0.0,5.7,Fair,20.1,69,Medium,4.1,Mild,Other,0,0
1552,32,Male,UK,1.4,135.3,8.0,Good,21.7,63,Low,14.6,None,Student,0,0
1553,24,Female,India,0.5,48.4,5.5,Fair,24.2,56,Medium,11.4,Mild,Healthcare,0,0
1554,25,Other,Mexico,0.0,0.0,7.3,Good,22.6,61,Low,14.2,None,Student,0,1
1555,32,Male,Germany,3.2,306.3,5.5,Fair,23.9,76,Medium,1.6,Mild,Service,0,0
1556,39,Female,Spain,4.0,375.9,6.1,Good,25.4,75,Low,8.4,None,Healthcare,0,0
1557,45,Female,UK,3.8,362.2,4.7,Poor,24.8,62,High,12.2,Mild,Service,0,0
1558,25,Female,Mexico,2.3,216.9,6.5,Good,20.2,50,Low,1.3,None,Student,0,0
1559,52,Female,Australia,2.3,214.0,7.5,Good,19.8,70,Low,7.3,Mild,Office,1,1
1560,31,Male,India,2.6,251.6,8.1,Excellent,24.9,64,Low,12.0,None,Service,0,0
1561,34,Male,Finland,1.5,144.2,6.7,Good,18.6,69,Low,0.7,None,Other,0,0
1562,26,Male,India,0.0,0.0,5.5,Fair,28.3,75,Medium,10.8,Mild,Other,0,0
1563,18,Male,Netherlands,4.3,406.7,7.3,Good,25.1,89,Low,14.5,None,Student,0,1
1564,45,Female,Norway,2.5,239.5,7.0,Good,28.5,65,Low,0.8,None,Healthcare,1,1
1565,43,Male,India,2.4,230.8,6.4,Good,26.0,67,Low,13.8,None,Office,0,1
1566,31,Female,USA,2.0,192.4,6.0,Good,23.7,67,Low,6.3,None,Healthcare,0,0
1567,35,Female,Netherlands,3.4,322.1,6.3,Good,28.0,80,Low,0.4,None,Service,0,0
1568,41,Female,Canada,2.3,220.7,6.7,Good,23.9,74,Low,5.2,None,Student,0,0
1569,18,Female,USA,1.8,167.8,7.7,Good,22.4,70,Low,4.6,None,Office,0,0
1570,28,Male,Switzerland,2.0,189.7,5.7,Fair,17.4,75,Medium,3.7,Mild,Student,0,0
1571,44,Female,Australia,2.6,246.7,5.8,Fair,23.4,54,Medium,12.4,Mild,Student,0,0
1572,19,Male,Canada,0.8,73.2,6.6,Good,20.8,71,Low,6.8,None,Student,0,0
1573,38,Female,Spain,4.6,439.0,4.7,Poor,21.0,84,High,4.6,Mild,Healthcare,0,1
1574,18,Female,Australia,1.6,151.0,7.6,Good,22.0,71,Low,4.7,None,Service,1,1
1575,40,Female,Norway,1.3,124.2,7.5,Good,26.1,71,Low,14.9,None,Service,1,0
1576,34,Male,UK,1.9,183.6,7.1,Good,19.9,71,Low,9.3,None,Healthcare,0,0
1577,18,Female,India,3.9,367.1,9.3,Excellent,18.8,87,Low,0.6,None,Other,0,0
1578,48,Male,Belgium,2.1,199.2,7.5,Good,16.8,90,Low,13.3,None,Office,0,0
1579,26,Male,Brazil,4.2,403.4,8.0,Good,25.7,68,Low,10.9,None,Office,1,0
1580,25,Female,Brazil,2.0,190.5,6.8,Good,26.7,69,Low,3.2,None,Healthcare,0,0
1581,37,Male,Finland,0.4,35.0,6.3,Good,21.8,62,Low,1.7,None,Student,0,0
1582,48,Other,USA,1.2,118.5,5.1,Fair,22.1,79,Medium,5.7,Mild,Student,0,0
1583,22,Male,Belgium,1.5,139.7,7.1,Good,27.5,75,Low,3.1,None,Service,0,1
1584,35,Female,France,3.5,329.9,7.1,Good,23.4,50,Low,10.5,None,Healthcare,0,0
1585,40,Male,Spain,1.8,172.2,7.8,Good,25.5,73,Low,2.6,None,Other,0,1
1586,43,Female,China,0.7,69.3,6.3,Good,24.9,65,Low,7.9,None,Other,0,0
1587,37,Female,France,0.3,31.2,7.8,Good,20.0,70,Low,9.6,None,Office,0,0
1588,30,Female,France,0.0,0.0,5.4,Fair,25.7,56,Medium,10.0,Mild,Office,0,0
1589,25,Male,Brazil,6.5,615.6,6.1,Good,24.7,67,Low,11.5,None,Student,0,0
1590,36,Female,Italy,1.4,130.7,7.5,Good,21.7,62,Low,7.5,None,Student,0,0
1591,22,Male,Mexico,3.2,300.6,7.3,Good,22.6,70,Low,3.2,None,Healthcare,1,1
1592,18,Male,UK,0.7,65.5,7.9,Good,18.5,66,Low,5.1,None,Student,0,1
1593,40,Male,Netherlands,4.3,412.4,7.0,Good,27.2,73,Low,5.7,None,Student,0,1
1594,45,Female,France,1.2,115.3,7.0,Good,24.8,59,Low,10.3,None,Service,0,1
1595,18,Male,Canada,5.3,504.1,7.7,Good,24.5,62,Low,9.4,None,Healthcare,0,1
1596,22,Female,Australia,5.5,518.5,6.1,Good,24.3,73,Low,7.4,None,Office,0,1
1597,42,Female,Netherlands,0.8,78.6,6.9,Good,25.5,59,Low,7.1,None,Healthcare,0,1
1598,59,Male,Spain,4.4,414.1,8.2,Excellent,18.0,64,Low,0.9,Mild,Other,1,0
1599,35,Female,China,5.3,505.0,3.0,Poor,35.0,73,High,10.3,Moderate,Student,1,0
1600,26,Male,USA,0.1,9.1,7.7,Good,26.9,85,Low,12.1,None,Office,0,0
1601,32,Female,France,0.3,25.6,7.7,Good,25.4,60,Low,13.3,None,Healthcare,0,0
1602,51,Male,Germany,0.0,0.0,6.5,Good,31.4,52,Low,0.3,Moderate,Office,0,0
1603,27,Female,Canada,1.1,103.6,6.9,Good,25.4,66,Low,13.1,None,Student,0,1
1604,25,Male,Germany,1.0,94.2,6.8,Good,31.7,68,Low,13.1,Mild,Office,0,0
1605,29,Male,Germany,2.0,189.9,6.4,Good,32.5,86,Low,9.9,Mild,Office,0,0
1606,23,Male,UK,0.6,55.6,6.8,Good,29.5,74,Low,4.2,None,Office,0,0
1607,36,Male,Mexico,3.5,336.1,6.9,Good,24.0,72,Low,13.4,None,Other,1,1
1608,54,Male,Norway,2.5,241.8,5.9,Fair,23.7,74,Medium,5.2,Moderate,Service,0,1
1609,38,Male,Italy,3.1,298.0,6.5,Good,22.6,67,Low,8.7,None,Healthcare,0,0
1610,31,Male,India,4.0,384.2,4.8,Poor,27.2,60,High,6.6,Mild,Office,0,0
1611,31,Female,Spain,2.9,275.0,5.8,Fair,19.9,84,Medium,13.3,Mild,Other,0,0
1612,18,Female,Sweden,2.2,205.6,5.4,Fair,23.4,66,Medium,3.9,Mild,Office,1,1
1613,45,Female,UK,1.3,120.5,7.0,Good,15.3,81,Low,5.0,None,Office,0,0
1614,34,Female,Belgium,3.8,365.4,5.2,Fair,19.8,68,Medium,6.1,Mild,Service,0,1
1615,32,Female,Canada,2.9,276.0,4.9,Poor,24.4,80,High,12.8,Mild,Other,0,0
1616,73,Female,Spain,2.8,268.7,4.9,Poor,26.3,81,High,4.8,Moderate,Service,0,0
1617,38,Male,Japan,1.6,151.3,5.5,Fair,28.0,65,Medium,4.3,Mild,Other,0,0
1618,25,Female,India,3.0,280.3,7.8,Good,24.3,70,Low,11.9,None,Healthcare,0,1
1619,29,Male,Sweden,1.3,126.1,8.6,Excellent,21.8,73,Low,5.8,None,Healthcare,0,0
1620,48,Female,Australia,3.0,281.7,6.1,Good,21.6,80,Low,10.0,None,Service,0,1
1621,36,Female,USA,2.1,199.8,4.9,Poor,21.4,58,High,13.1,Mild,Healthcare,0,0
1622,18,Male,Norway,3.6,339.5,6.1,Good,32.1,90,Low,3.4,Mild,Office,0,1
1623,46,Female,Italy,0.5,48.2,8.6,Excellent,22.3,64,Low,7.0,None,Healthcare,0,0
1624,26,Male,Finland,2.6,244.3,6.9,Good,25.5,64,Low,7.3,None,Healthcare,0,0
1625,57,Male,Japan,3.6,337.7,4.7,Poor,23.1,85,High,8.5,Moderate,Healthcare,0,0
1626,47,Male,South Korea,2.6,248.1,8.8,Excellent,26.4,64,Low,13.8,None,Office,0,0
1627,29,Female,China,0.4,34.8,6.5,Good,20.1,76,Low,14.7,None,Other,1,1
1628,50,Female,Belgium,1.4,131.4,6.2,Good,21.9,61,Low,12.0,None,Healthcare,0,0
1629,35,Female,UK,4.4,418.1,7.7,Good,25.8,77,Low,0.4,None,Healthcare,0,0
1630,45,Male,Brazil,2.4,227.4,7.0,Good,21.3,64,Low,1.8,None,Student,0,1
1631,40,Female,Spain,1.3,120.8,8.4,Excellent,26.7,69,Low,1.8,None,Student,0,0
1632,24,Female,Sweden,4.4,416.2,6.2,Good,26.1,81,Low,8.0,None,Other,1,0
1633,27,Male,Australia,4.8,458.3,6.2,Good,24.0,59,Low,0.6,None,Healthcare,0,0
1634,47,Female,India,0.7,69.5,6.3,Good,23.1,78,Low,7.7,None,Healthcare,0,0
1635,30,Male,Norway,1.7,165.8,6.9,Good,23.3,69,Low,11.3,None,Other,0,0
1636,30,Male,UK,2.0,188.4,6.7,Good,27.3,78,Low,4.5,None,Other,0,1
1637,23,Male,Canada,3.3,313.5,5.7,Fair,26.1,54,Medium,7.0,Mild,Student,0,0
1638,40,Female,Japan,2.2,211.8,4.6,Poor,30.3,70,High,1.4,Moderate,Office,0,1
1639,59,Male,Belgium,2.7,254.9,7.2,Good,19.0,65,Low,1.0,Mild,Other,1,1
1640,22,Male,Germany,2.3,216.7,7.0,Good,18.2,64,Low,8.0,None,Student,0,0
1641,35,Male,Japan,5.8,551.0,5.8,Fair,22.6,61,Medium,0.2,Mild,Service,1,1
1642,51,Male,Australia,3.4,319.2,7.6,Good,23.1,70,Low,10.6,Mild,Office,0,0
1643,34,Male,South Korea,2.1,195.7,6.9,Good,23.7,55,Low,2.1,None,Student,0,0
1644,40,Male,Finland,2.1,197.9,7.2,Good,30.1,56,Low,13.4,Mild,Other,0,1
1645,22,Female,UK,3.2,304.9,6.5,Good,25.3,52,Low,12.8,None,Service,0,0
1646,40,Male,Mexico,1.1,101.4,4.9,Poor,24.9,54,High,3.4,Mild,Service,0,0
1647,32,Female,Mexico,2.9,276.0,8.1,Excellent,21.8,63,Low,3.5,None,Other,0,1
1648,46,Female,China,2.7,260.2,7.0,Good,23.4,57,Low,0.6,None,Other,0,0
1649,49,Male,Mexico,1.2,114.3,5.2,Fair,24.6,61,Medium,14.8,Mild,Service,0,1
1650,66,Male,USA,0.0,0.0,6.5,Good,23.4,59,Low,0.8,Mild,Office,0,1
1651,41,Female,Brazil,0.0,0.0,7.7,Good,24.7,62,Low,7.2,None,Service,1,1
1652,38,Male,South Korea,2.2,204.8,8.5,Excellent,25.7,68,Low,12.7,None,Other,0,0
1653,37,Male,USA,3.9,366.8,6.8,Good,27.7,65,Low,2.4,None,Office,0,1
1654,30,Male,Finland,1.8,173.5,7.6,Good,27.7,75,Low,11.6,None,Student,0,0
1655,39,Female,Canada,3.8,360.9,8.4,Excellent,25.5,61,Low,2.5,None,Healthcare,0,0
1656,31,Female,India,1.9,185.2,8.6,Excellent,29.0,78,Low,4.6,None,Healthcare,1,0
1657,37,Other,Netherlands,0.9,87.7,7.2,Good,25.3,50,Low,3.8,None,Healthcare,0,0
1658,50,Female,Italy,0.6,55.3,7.7,Good,20.9,71,Low,0.7,None,Student,0,1
1659,22,Male,Netherlands,1.1,105.5,5.7,Fair,17.6,56,Medium,1.8,Mild,Student,0,0
1660,48,Male,Mexico,2.7,257.6,6.5,Good,29.5,56,Low,10.1,None,Service,0,0
1661,50,Male,Mexico,2.4,231.0,7.1,Good,21.7,72,Low,1.3,None,Student,0,0
1662,33,Male,Switzerland,2.1,202.1,6.2,Good,27.7,69,Low,14.6,None,Student,1,0
1663,18,Male,Italy,2.2,208.1,5.1,Fair,30.0,85,Medium,3.9,Mild,Other,0,0
1664,27,Male,Germany,4.2,395.0,6.3,Good,20.3,63,Low,1.6,None,Student,0,0
1665,50,Male,Belgium,5.3,505.3,4.1,Poor,20.7,64,High,5.6,Mild,Other,1,0
1666,34,Male,Canada,1.4,132.4,8.6,Excellent,27.7,57,Low,4.1,None,Service,0,0
1667,23,Male,Norway,2.2,210.7,6.6,Good,25.7,69,Low,1.2,None,Healthcare,0,0
1668,28,Female,France,0.7,63.5,8.2,Excellent,23.0,79,Low,9.8,None,Office,1,1
1669,45,Female,Belgium,2.5,235.4,5.6,Fair,25.2,57,Medium,11.7,Mild,Healthcare,0,1
1670,41,Other,Brazil,2.0,192.6,6.1,Good,27.0,60,Low,0.0,None,Service,0,0
1671,32,Male,South Korea,2.8,268.1,7.3,Good,27.4,69,Low,8.6,None,Office,0,0
1672,30,Male,Sweden,3.8,362.7,8.2,Excellent,29.9,81,Low,9.7,None,Healthcare,0,0
1673,30,Male,Netherlands,0.7,65.1,7.1,Good,21.5,66,Low,14.8,None,Service,1,0
1674,23,Male,Brazil,2.2,207.2,5.7,Fair,28.8,78,Medium,9.9,Mild,Service,0,0
1675,54,Male,Australia,2.1,198.0,7.7,Good,31.9,71,Low,4.5,Moderate,Other,0,0
1676,31,Female,UK,2.7,260.1,5.3,Fair,26.2,75,Medium,10.0,Mild,Student,0,0
1677,49,Other,France,4.6,437.1,7.9,Good,30.2,69,Low,4.2,Mild,Other,0,0
1678,53,Male,Germany,1.5,144.8,8.0,Excellent,23.3,58,Low,2.1,Mild,Other,0,0
1679,46,Male,UK,3.4,324.3,5.6,Fair,24.8,78,Medium,11.1,Mild,Healthcare,1,1
1680,29,Male,USA,5.0,475.8,6.1,Good,26.1,75,Low,7.3,None,Service,0,1
1681,39,Male,India,1.2,117.0,6.2,Good,24.7,72,Low,14.3,None,Student,0,1
1682,34,Male,USA,2.7,258.5,7.0,Good,21.2,60,Low,0.9,None,Service,0,1
1683,24,Male,Netherlands,2.7,257.2,7.2,Good,19.7,51,Low,7.2,None,Office,1,1
1684,38,Male,Finland,0.6,52.8,4.9,Poor,27.9,74,High,3.8,Mild,Healthcare,0,1
1685,20,Male,China,3.4,320.0,7.1,Good,27.6,55,Low,7.6,None,Other,1,1
1686,49,Male,Japan,4.2,397.5,6.3,Good,17.3,64,Low,0.6,None,Student,0,1
1687,29,Male,Brazil,1.5,142.3,5.3,Fair,26.8,73,Medium,0.6,Mild,Student,0,0
1688,37,Male,Germany,2.1,196.2,7.4,Good,25.6,52,Low,8.0,None,Student,0,0
1689,38,Other,Japan,0.0,0.0,8.9,Excellent,21.9,69,Low,5.3,None,Office,0,1
1690,31,Male,Belgium,4.1,387.4,6.5,Good,25.5,64,Low,0.3,None,Other,0,0
1691,42,Female,Netherlands,3.8,360.8,8.1,Excellent,20.2,67,Low,9.1,None,Student,1,1
1692,29,Female,USA,1.1,101.3,7.8,Good,22.4,50,Low,6.7,None,Service,0,1
1693,45,Female,Germany,1.2,117.5,7.8,Good,20.8,67,Low,14.7,None,Student,1,0
1694,18,Female,Japan,1.9,180.8,7.3,Good,27.6,80,Low,12.5,None,Student,0,1
1695,36,Female,Canada,4.4,421.6,6.1,Good,22.8,68,Low,11.0,None,Student,0,0
1696,58,Female,Spain,2.4,227.2,5.8,Fair,22.1,89,Medium,7.2,Moderate,Office,0,0
1697,22,Male,UK,2.7,259.1,10.0,Excellent,21.2,58,Low,7.3,None,Other,0,0
1698,26,Male,Belgium,2.7,259.1,6.8,Good,27.0,91,Low,14.1,None,Service,0,0
1699,41,Other,China,4.6,433.1,6.5,Good,26.5,80,Low,11.0,None,Healthcare,1,0
1700,37,Female,Canada,1.9,184.3,8.0,Excellent,22.6,86,Low,1.4,None,Student,0,0
1701,39,Female,Switzerland,2.3,218.2,4.4,Poor,25.8,88,High,6.5,Mild,Other,0,1
1702,40,Female,UK,4.3,404.8,7.1,Good,15.0,76,Low,6.3,None,Office,0,0
1703,42,Female,Japan,4.2,403.3,8.0,Good,20.7,57,Low,1.7,None,Service,1,1
1704,48,Female,Norway,0.9,88.7,8.4,Excellent,28.8,72,Low,12.7,None,Other,0,0
1705,39,Female,UK,0.0,0.0,7.7,Good,23.1,50,Low,4.2,None,Student,0,1
1706,32,Female,Switzerland,2.5,236.5,5.4,Fair,19.5,81,Medium,5.6,Mild,Other,0,1
1707,43,Female,USA,3.5,329.7,7.6,Good,31.1,92,Low,14.7,Mild,Office,0,1
1708,57,Female,Japan,3.0,282.4,5.2,Fair,17.5,75,Medium,10.2,Moderate,Healthcare,0,1
1709,33,Female,Sweden,1.6,150.3,8.6,Excellent,19.1,64,Low,12.1,None,Office,0,0
1710,23,Female,UK,5.3,503.1,7.1,Good,20.5,81,Low,1.6,None,Healthcare,0,0
1711,48,Male,Germany,0.9,85.2,6.4,Good,21.1,78,Low,8.1,None,Student,0,0
1712,33,Male,Netherlands,0.5,43.2,8.2,Excellent,29.4,73,Low,10.7,None,Service,0,0
1713,18,Female,Norway,4.2,402.0,6.2,Good,23.2,76,Low,12.2,None,Office,0,0
1714,45,Female,Germany,1.9,177.6,6.8,Good,33.3,62,Low,13.3,Mild,Service,1,0
1715,28,Male,Japan,5.0,479.5,7.1,Good,16.2,75,Low,1.3,None,Office,0,1
1716,33,Male,Canada,2.1,201.9,6.6,Good,28.0,77,Low,11.1,None,Service,0,1
1717,38,Female,Norway,1.9,182.2,6.4,Good,22.4,68,Low,1.5,None,Healthcare,0,0
1718,37,Female,Brazil,3.2,308.3,5.8,Fair,22.4,66,Medium,6.1,Mild,Other,0,1
1719,43,Female,Brazil,3.8,359.3,7.6,Good,22.1,71,Low,6.7,None,Other,1,0
1720,29,Female,Belgium,5.7,545.4,6.2,Good,22.8,74,Low,4.3,None,Healthcare,0,0
1721,41,Male,Germany,3.8,360.3,7.7,Good,27.6,72,Low,12.9,None,Healthcare,0,0
1722,31,Male,Germany,4.1,390.1,5.7,Fair,21.4,74,Medium,8.8,Mild,Student,0,0
1723,43,Male,Belgium,1.6,155.0,5.6,Fair,24.0,70,Medium,2.1,Mild,Office,1,0
1724,42,Female,Canada,3.9,374.1,7.7,Good,28.4,75,Low,5.6,None,Service,0,0
1725,23,Male,USA,3.4,326.6,5.2,Fair,15.6,78,Medium,1.2,Mild,Healthcare,0,0
1726,48,Female,India,1.6,154.6,6.1,Good,32.2,69,Low,7.4,Mild,Service,0,0
1727,28,Female,Finland,0.4,41.5,7.6,Good,28.9,68,Low,5.3,None,Office,0,1
1728,44,Female,Sweden,1.1,108.8,9.0,Excellent,26.0,67,Low,4.8,None,Service,0,0
1729,39,Female,Japan,1.7,163.9,7.2,Good,25.6,62,Low,12.6,None,Other,0,1
1730,57,Male,Mexico,2.2,209.8,5.4,Fair,25.0,69,Medium,12.7,Moderate,Student,1,1
1731,32,Female,Brazil,3.6,343.8,5.4,Fair,21.6,50,Medium,10.2,Mild,Office,0,0
1732,30,Male,Australia,3.9,372.4,6.4,Good,27.5,75,Low,13.8,None,Office,0,0
1733,34,Male,China,5.1,486.7,7.0,Good,23.3,90,Low,9.8,None,Student,0,0
1734,31,Male,Netherlands,3.1,298.3,5.4,Fair,20.1,65,Medium,9.3,Mild,Office,0,0
1735,44,Male,Italy,0.3,30.4,5.9,Fair,29.2,82,Medium,1.4,Mild,Student,0,1
1736,18,Female,Switzerland,1.1,109.1,6.8,Good,20.6,71,Low,0.2,None,Healthcare,0,1
1737,22,Female,Germany,2.2,204.8,7.5,Good,27.6,59,Low,3.1,None,Healthcare,0,0
1738,22,Male,South Korea,4.1,390.1,4.8,Poor,23.4,60,High,11.8,Mild,Service,0,0
1739,46,Male,Brazil,3.4,326.1,3.6,Poor,26.3,74,High,13.9,Mild,Other,0,1
1740,55,Female,Spain,1.4,129.3,6.7,Good,20.2,64,Low,3.4,Mild,Other,0,1
1741,33,Female,Finland,0.8,78.8,10.0,Excellent,20.1,88,Low,2.5,None,Office,0,1
1742,32,Male,USA,1.5,147.1,6.2,Good,27.1,67,Low,12.5,None,Office,0,1
1743,35,Female,Switzerland,0.6,61.2,8.3,Excellent,30.2,56,Low,5.7,Mild,Service,1,0
1744,48,Female,UK,2.3,220.5,5.4,Fair,28.9,67,Medium,14.7,Mild,Other,0,0
1745,23,Female,Finland,3.2,300.9,6.7,Good,25.3,53,Low,14.4,None,Healthcare,1,0
1746,37,Male,UK,2.9,279.7,7.9,Good,19.6,50,Low,5.0,None,Healthcare,0,0
1747,46,Female,Spain,1.8,169.8,6.6,Good,15.4,69,Low,8.4,None,Student,1,0
1748,41,Female,South Korea,2.5,241.5,5.2,Fair,31.6,69,Medium,10.2,Moderate,Healthcare,1,1
1749,37,Female,Canada,0.5,51.3,7.0,Good,21.9,75,Low,9.6,None,Other,0,0
1750,47,Female,France,1.5,139.8,7.8,Good,29.3,67,Low,14.6,None,Student,0,0
1751,18,Female,Australia,3.0,281.8,8.9,Excellent,26.3,92,Low,5.4,None,Office,1,0
1752,43,Male,France,5.9,558.1,4.5,Poor,15.6,74,High,10.9,Mild,Service,1,0
1753,27,Female,Finland,4.5,429.5,6.7,Good,23.3,84,Low,8.7,None,Other,0,1
1754,18,Female,Sweden,0.5,51.0,5.9,Fair,25.9,72,Medium,7.8,Mild,Healthcare,0,0
1755,41,Female,UK,3.8,357.8,6.6,Good,17.3,78,Low,2.2,None,Student,1,0
1756,51,Male,Sweden,2.8,262.5,5.6,Fair,22.4,78,Medium,11.3,Moderate,Healthcare,0,1
1757,33,Male,Finland,2.8,266.5,5.8,Fair,19.7,79,Medium,6.0,Mild,Office,0,1
1758,46,Female,South Korea,6.3,601.2,8.0,Good,29.7,69,Low,1.9,None,Healthcare,0,0
1759,54,Female,Spain,1.8,168.3,6.8,Good,20.7,82,Low,0.2,Mild,Healthcare,1,0
1760,50,Male,Finland,3.3,312.7,5.0,Poor,25.8,57,High,2.2,Mild,Service,0,0
1761,54,Female,China,3.7,347.0,6.3,Good,20.7,90,Low,10.4,Mild,Healthcare,0,1
1762,43,Male,Italy,1.5,138.5,7.6,Good,21.3,61,Low,11.2,None,Service,0,1
1763,35,Other,Sweden,0.0,0.0,7.3,Good,23.4,63,Low,0.7,None,Student,0,1
1764,18,Female,South Korea,0.5,48.1,7.5,Good,24.4,56,Low,2.3,None,Office,1,0
1765,32,Male,Italy,2.9,273.8,8.9,Excellent,24.2,69,Low,15.0,None,Service,0,1
1766,24,Female,South Korea,3.8,365.2,7.6,Good,17.3,75,Low,6.2,None,Healthcare,0,1
1767,61,Female,Norway,3.3,314.6,8.2,Excellent,27.7,78,Low,13.4,Mild,Student,0,0
1768,32,Male,Germany,3.3,312.9,7.0,Good,30.2,73,Low,6.1,Mild,Service,0,1
1769,36,Female,Germany,3.0,285.1,7.6,Good,24.7,90,Low,7.9,None,Service,0,0
1770,41,Male,Sweden,1.3,119.7,6.0,Fair,23.5,68,Medium,13.1,Mild,Student,0,0
1771,35,Female,France,2.5,233.5,7.5,Good,28.4,74,Low,14.8,None,Office,0,1
1772,55,Male,Brazil,3.4,327.0,8.4,Excellent,26.2,88,Low,1.1,Mild,Student,0,0
1773,27,Male,UK,3.2,304.6,6.8,Good,24.0,83,Low,9.5,None,Office,0,1
1774,37,Male,Netherlands,5.0,471.1,5.8,Fair,22.3,67,Medium,7.0,Mild,Office,0,0
1775,26,Male,Norway,1.6,154.5,8.4,Excellent,24.1,60,Low,8.1,None,Healthcare,1,0
1776,19,Female,Finland,1.7,157.2,5.8,Fair,16.9,72,Medium,3.0,Mild,Service,0,0
1777,27,Male,Switzerland,1.4,137.4,9.5,Excellent,25.1,66,Low,13.4,None,Student,0,1
1778,34,Male,South Korea,0.0,0.0,7.4,Good,30.0,77,Low,4.3,Mild,Office,0,0
1779,29,Female,Spain,3.4,325.0,4.6,Poor,15.8,56,High,2.1,Mild,Student,0,0
1780,26,Female,Australia,2.5,238.1,7.2,Good,15.0,70,Low,10.6,None,Service,1,0
1781,18,Female,USA,2.1,202.8,8.4,Excellent,27.4,60,Low,14.7,None,Student,0,0
1782,34,Female,USA,1.3,121.3,8.2,Excellent,32.8,70,Low,3.6,Mild,Other,1,1
1783,18,Female,UK,3.3,316.1,6.5,Good,32.0,80,Low,7.0,Mild,Student,0,1
1784,44,Male,Australia,2.5,240.0,6.8,Good,23.2,97,Low,1.0,None,Office,0,0
1785,35,Male,Canada,4.8,457.6,7.6,Good,26.7,74,Low,5.0,None,Healthcare,0,1
1786,18,Female,Germany,2.5,241.0,4.3,Poor,29.0,84,High,12.1,Mild,Other,0,0
1787,31,Male,China,3.1,297.2,5.9,Fair,18.4,62,Medium,13.2,Mild,Healthcare,1,0
1788,25,Male,Sweden,4.9,461.5,5.4,Fair,16.9,50,Medium,3.5,Mild,Healthcare,0,1
1789,38,Male,France,2.0,190.4,7.7,Good,23.3,82,Low,8.2,None,Service,0,0
1790,51,Male,Germany,1.8,175.7,5.7,Fair,20.5,74,Medium,11.8,Moderate,Healthcare,1,1
1791,18,Female,Mexico,4.6,440.8,5.5,Fair,25.4,69,Medium,0.3,Mild,Healthcare,0,0
1792,36,Female,China,0.2,15.3,6.4,Good,22.7,63,Low,3.2,None,Student,1,0
1793,33,Female,Japan,2.1,200.5,5.7,Fair,31.4,75,Medium,0.6,Moderate,Other,1,0
1794,43,Female,Australia,2.1,197.0,8.0,Good,26.9,50,Low,1.9,None,Other,0,1
1795,37,Male,USA,1.2,117.2,6.3,Good,23.5,58,Low,2.7,None,Student,0,0
1796,25,Male,Italy,3.3,312.8,7.2,Good,15.9,65,Low,0.4,None,Office,0,0
1797,31,Other,Belgium,1.6,156.3,6.1,Good,25.9,74,Low,6.6,None,Other,0,0
1798,25,Male,Netherlands,2.7,252.5,6.6,Good,25.4,75,Low,6.2,None,Other,0,0
1799,47,Male,Finland,1.1,104.6,6.6,Good,23.2,77,Low,4.4,None,Other,0,0
1800,35,Female,Norway,2.9,278.2,4.3,Poor,21.8,70,High,4.8,Mild,Service,0,1
1801,57,Female,France,5.6,533.9,4.7,Poor,22.0,80,High,8.1,Moderate,Other,0,1
1802,34,Male,Mexico,2.4,230.0,5.1,Fair,30.1,58,Medium,12.1,Moderate,Office,0,0
1803,26,Female,Germany,2.5,236.1,7.9,Good,29.6,66,Low,14.6,None,Other,0,1
1804,18,Other,China,0.7,68.3,8.4,Excellent,22.8,60,Low,12.3,None,Office,0,0
1805,18,Male,France,3.8,357.6,5.8,Fair,25.8,76,Medium,5.8,Mild,Other,0,0
1806,18,Female,USA,2.4,225.2,7.2,Good,26.1,65,Low,13.1,None,Office,0,0
1807,38,Male,Canada,3.1,293.5,5.7,Fair,19.1,77,Medium,12.4,Mild,Student,0,1
1808,41,Female,Canada,3.9,372.8,6.8,Good,21.4,75,Low,13.7,None,Other,1,0
1809,18,Female,Sweden,2.2,211.7,6.2,Good,29.5,69,Low,1.0,None,Office,0,0
1810,45,Female,Netherlands,4.0,383.0,5.8,Fair,20.1,64,Medium,5.3,Mild,Service,0,0
1811,29,Male,Switzerland,4.1,392.3,7.1,Good,21.9,74,Low,0.7,None,Service,0,1
1812,36,Male,Canada,3.0,285.9,6.9,Good,23.4,70,Low,4.8,None,Student,0,0
1813,54,Male,Mexico,2.8,265.9,5.7,Fair,23.3,79,Medium,4.2,Moderate,Healthcare,0,1
1814,45,Female,Germany,2.5,241.5,8.7,Excellent,20.4,53,Low,13.7,None,Service,1,1
1815,31,Male,Sweden,3.3,317.5,8.7,Excellent,22.7,72,Low,14.2,None,Other,0,0
1816,24,Male,Norway,3.3,311.1,6.7,Good,16.4,67,Low,10.4,None,Student,0,1
1817,18,Male,South Korea,0.4,33.7,7.7,Good,26.7,63,Low,4.2,None,Office,0,0
1818,26,Male,Switzerland,1.5,141.8,9.6,Excellent,23.7,85,Low,0.1,None,Office,0,1
1819,32,Male,India,3.9,373.9,7.1,Good,18.4,66,Low,10.1,None,Office,0,1
1820,23,Female,Norway,2.9,272.9,4.9,Poor,21.7,50,High,7.5,Mild,Office,1,0
1821,33,Male,Switzerland,2.2,206.5,6.7,Good,15.5,76,Low,3.1,None,Other,1,0
1822,35,Male,UK,5.1,488.6,5.8,Fair,19.5,83,Medium,2.6,Mild,Service,0,0
1823,32,Female,Japan,3.7,353.2,5.9,Fair,17.2,76,Medium,8.4,Mild,Office,0,0
1824,27,Female,Italy,4.1,391.4,6.9,Good,33.3,52,Low,2.0,Mild,Other,0,1
1825,37,Male,Switzerland,2.2,206.1,6.1,Good,25.2,70,Low,8.2,None,Student,0,0
1826,40,Male,Mexico,3.1,292.4,7.5,Good,24.2,62,Low,13.7,None,Other,0,0
1827,21,Female,Belgium,2.4,225.9,5.9,Fair,20.4,86,Medium,11.9,Mild,Student,0,1
1828,51,Male,Switzerland,0.9,90.0,5.5,Fair,25.2,66,Medium,14.1,Moderate,Service,1,0
1829,33,Female,Canada,2.8,265.6,8.1,Excellent,24.7,74,Low,3.7,None,Office,0,0
1830,35,Male,Italy,2.4,229.3,6.3,Good,27.2,73,Low,14.3,None,Healthcare,0,0
1831,43,Male,Finland,2.4,226.9,7.6,Good,22.2,79,Low,7.1,None,Student,1,0
1832,37,Male,Italy,4.0,378.7,5.3,Fair,21.7,86,Medium,9.5,Mild,Healthcare,0,0
1833,46,Female,UK,2.3,221.7,6.4,Good,21.6,70,Low,4.4,None,Other,0,0
1834,38,Female,Italy,2.6,247.5,7.4,Good,23.1,59,Low,14.9,None,Other,1,0
1835,27,Male,Finland,2.7,254.4,5.7,Fair,24.7,87,Medium,6.6,Mild,Healthcare,0,1
1836,39,Female,Australia,3.3,309.1,7.1,Good,29.3,66,Low,2.8,None,Service,0,1
1837,21,Male,Canada,2.9,280.0,8.0,Good,29.1,77,Low,8.6,None,Office,0,0
1838,36,Male,Italy,3.5,335.4,6.9,Good,23.3,67,Low,3.8,None,Other,0,0
1839,34,Female,Belgium,0.6,54.6,6.3,Good,34.0,69,Low,6.5,Mild,Healthcare,0,0
1840,32,Male,Sweden,2.7,258.1,5.8,Fair,26.0,56,Medium,3.1,Mild,Healthcare,0,0
1841,33,Female,China,2.3,221.5,5.7,Fair,26.4,69,Medium,5.8,Mild,Student,0,0
1842,18,Female,Mexico,0.5,49.9,5.9,Fair,27.4,74,Medium,1.4,Mild,Healthcare,0,1
1843,28,Female,India,0.3,31.9,7.9,Good,29.1,61,Low,4.3,None,Healthcare,0,1
1844,36,Female,Germany,1.6,148.0,5.6,Fair,28.0,83,Medium,3.7,Mild,Student,0,0
1845,36,Male,Germany,1.5,144.6,6.4,Good,21.8,86,Low,14.2,None,Student,0,0
1846,22,Male,Netherlands,2.1,203.4,6.9,Good,22.6,71,Low,8.9,None,Other,0,0
1847,50,Male,India,2.7,255.8,6.1,Good,18.8,75,Low,0.4,None,Service,0,0
1848,24,Male,Finland,3.2,307.9,5.7,Fair,26.3,75,Medium,13.7,Mild,Other,0,0
1849,46,Female,Sweden,0.6,61.1,8.3,Excellent,27.9,65,Low,9.7,None,Service,0,0
1850,40,Male,South Korea,1.1,108.8,6.1,Good,28.1,63,Low,5.1,None,Office,0,0
1851,27,Female,India,1.2,113.6,7.0,Good,25.1,62,Low,5.5,None,Student,0,1
1852,56,Male,Belgium,2.3,220.5,6.0,Good,26.6,59,Low,0.5,Mild,Other,1,0
1853,20,Female,Mexico,2.5,241.5,5.9,Fair,17.5,65,Medium,14.6,Mild,Student,0,1
1854,46,Female,Canada,4.0,379.9,4.8,Poor,22.4,82,High,12.9,Mild,Student,1,0
1855,47,Female,Mexico,1.1,106.8,6.9,Good,22.0,65,Low,1.0,None,Service,1,0
1856,26,Male,China,3.7,348.0,4.9,Poor,29.9,77,High,10.2,Mild,Healthcare,0,0
1857,51,Female,Brazil,0.3,26.5,7.3,Good,25.4,74,Low,6.7,Mild,Healthcare,0,0
1858,31,Male,Switzerland,2.5,240.2,6.3,Good,25.3,72,Low,12.1,None,Student,0,0
1859,38,Male,Italy,3.3,316.1,5.4,Fair,18.7,74,Medium,9.4,Mild,Other,0,0
1860,38,Male,Finland,3.5,327.8,5.1,Fair,18.9,59,Medium,6.2,Mild,Other,0,0
1861,33,Female,Finland,5.0,478.5,3.5,Poor,23.2,73,High,6.5,Mild,Service,1,0
1862,44,Male,Switzerland,6.1,576.3,6.9,Good,27.1,67,Low,9.8,None,Office,0,0
1863,44,Female,Belgium,3.1,295.3,6.5,Good,20.5,83,Low,9.8,None,Other,0,0
1864,18,Other,UK,0.5,49.7,7.1,Good,29.9,74,Low,8.4,None,Office,0,0
1865,50,Male,Netherlands,8.2,780.3,6.4,Good,20.9,82,Low,13.3,None,Student,0,0
1866,18,Male,Norway,4.2,400.2,8.3,Excellent,26.2,70,Low,11.7,None,Service,0,0
1867,47,Female,Germany,4.0,384.3,5.2,Fair,21.3,64,Medium,1.8,Mild,Service,1,0
1868,48,Male,Canada,1.9,176.6,6.0,Fair,29.0,68,Medium,13.1,Mild,Student,0,1
1869,21,Female,USA,2.3,220.1,7.3,Good,31.7,55,Low,3.0,Mild,Student,1,1
1870,30,Male,Spain,1.3,119.9,7.7,Good,26.5,61,Low,14.3,None,Office,0,1
1871,21,Female,Germany,3.5,333.3,6.5,Good,21.5,57,Low,12.1,None,Other,0,0
1872,32,Male,Belgium,1.8,171.4,4.3,Poor,20.5,68,High,13.6,Mild,Other,0,1
1873,31,Male,Belgium,3.6,339.9,3.8,Poor,21.2,80,High,10.1,Mild,Healthcare,0,0
1874,44,Female,Brazil,1.4,132.1,6.7,Good,22.2,67,Low,9.8,None,Office,0,0
1875,50,Male,Japan,3.9,372.9,7.7,Good,21.7,60,Low,3.7,None,Service,0,1
1876,51,Male,USA,2.9,277.8,8.3,Excellent,29.2,77,Low,9.4,Mild,Office,0,0
1877,28,Male,Sweden,4.4,418.7,4.3,Poor,24.5,54,High,6.3,Mild,Office,0,0
1878,32,Male,Italy,5.7,538.4,6.7,Good,26.3,60,Low,2.3,None,Student,1,1
1879,18,Female,Italy,2.9,277.9,7.1,Good,19.1,74,Low,5.4,None,Student,0,0
1880,25,Female,Norway,4.5,432.0,5.7,Fair,22.7,83,Medium,9.9,Mild,Student,0,0
1881,46,Female,Mexico,4.6,432.7,6.5,Good,26.5,70,Low,13.1,None,Student,1,1
1882,54,Female,Australia,2.5,234.5,6.3,Good,22.3,52,Low,6.6,Mild,Student,0,0
1883,20,Male,Australia,2.9,274.6,5.2,Fair,25.3,72,Medium,4.3,Mild,Office,0,0
1884,27,Male,USA,2.9,276.2,5.8,Fair,22.4,90,Medium,2.4,Mild,Student,0,1
1885,34,Female,Spain,1.8,175.3,9.1,Excellent,28.8,80,Low,6.0,None,Other,0,0
1886,38,Female,South Korea,1.9,176.6,7.1,Good,24.1,65,Low,4.3,None,Other,1,0
1887,25,Male,UK,4.3,412.0,4.9,Poor,21.6,69,High,6.7,Mild,Healthcare,0,0
1888,40,Male,Germany,1.4,136.3,5.4,Fair,25.3,76,Medium,1.5,Mild,Other,0,0
1889,29,Female,Spain,2.3,216.2,8.5,Excellent,25.3,76,Low,11.0,None,Healthcare,0,0
1890,34,Female,Netherlands,2.0,190.9,6.1,Good,27.9,54,Low,0.1,None,Other,0,1
1891,41,Female,Belgium,3.2,303.1,6.1,Good,19.1,72,Low,10.5,None,Service,0,1
1892,35,Male,Mexico,6.0,565.3,7.1,Good,20.3,86,Low,4.6,None,Healthcare,0,1
1893,29,Female,Finland,2.2,210.5,6.3,Good,25.0,69,Low,5.4,None,Office,0,0
1894,33,Male,China,0.3,32.1,6.3,Good,21.8,67,Low,2.6,None,Student,0,0
1895,33,Male,Japan,2.7,252.6,6.9,Good,24.6,88,Low,14.5,None,Healthcare,0,0
1896,30,Female,Belgium,1.0,98.9,6.0,Fair,25.0,70,Medium,0.8,Mild,Other,0,0
1897,31,Male,France,2.9,274.1,6.0,Good,20.4,78,Low,4.2,None,Office,0,0
1898,54,Male,Finland,1.4,128.9,8.7,Excellent,25.1,78,Low,2.2,Mild,Other,0,0
1899,41,Other,China,2.7,260.7,5.6,Fair,21.9,73,Medium,7.2,Mild,Office,0,0
1900,31,Female,China,0.7,67.4,6.6,Good,17.7,62,Low,8.4,None,Other,0,0
1901,43,Female,Germany,2.1,199.6,9.2,Excellent,24.0,53,Low,2.9,None,Student,0,0
1902,30,Male,Norway,1.0,96.0,3.0,Poor,22.4,63,High,9.8,Mild,Service,0,0
1903,49,Male,UK,4.4,416.1,8.6,Excellent,21.5,67,Low,8.3,None,Other,0,0
1904,39,Female,France,1.4,134.3,7.4,Good,24.4,81,Low,12.6,None,Other,0,0
1905,33,Female,Spain,3.3,316.5,7.1,Good,26.0,77,Low,13.6,None,Healthcare,0,0
1906,40,Female,Finland,2.8,263.0,7.1,Good,21.8,62,Low,10.4,None,Student,0,0
1907,18,Male,Japan,2.8,265.8,6.1,Good,27.4,67,Low,9.5,None,Office,0,0
1908,21,Male,Japan,3.1,290.7,5.3,Fair,20.2,64,Medium,9.1,Mild,Healthcare,0,0
1909,20,Other,Italy,3.4,323.4,6.5,Good,21.8,60,Low,2.5,None,Student,0,0
1910,36,Female,UK,4.5,423.6,6.2,Good,30.0,70,Low,13.2,None,Student,0,1
1911,55,Male,Sweden,3.9,370.5,6.7,Good,20.9,81,Low,5.4,Mild,Healthcare,0,0
1912,61,Male,Spain,4.8,455.0,5.9,Fair,23.9,58,Medium,10.4,Moderate,Office,0,0
1913,42,Male,Canada,0.9,85.9,7.9,Good,21.0,82,Low,6.6,None,Service,1,0
1914,41,Male,Norway,0.5,46.3,7.9,Good,29.8,72,Low,13.5,None,Healthcare,1,0
1915,18,Male,Sweden,5.0,473.6,4.5,Poor,20.6,73,High,6.1,Mild,Other,1,1
1916,28,Male,UK,3.3,317.7,4.5,Poor,30.8,69,High,8.4,Moderate,Service,0,0
1917,25,Female,India,0.9,85.9,5.9,Fair,28.3,71,Medium,2.8,Mild,Office,1,0
1918,27,Male,Belgium,2.1,197.7,5.1,Fair,25.7,70,Medium,8.3,Mild,Office,0,0
1919,32,Other,Italy,3.3,314.0,7.8,Good,27.5,72,Low,3.0,None,Healthcare,0,0
1920,29,Male,Belgium,2.4,230.8,5.9,Fair,31.8,65,Medium,11.9,Moderate,Healthcare,1,1
1921,18,Female,USA,3.4,324.8,7.1,Good,21.9,78,Low,5.5,None,Service,0,1
1922,43,Male,Brazil,0.7,70.1,6.7,Good,24.7,50,Low,6.4,None,Service,0,0
1923,22,Female,Sweden,2.5,233.2,7.7,Good,24.0,79,Low,9.6,None,Other,1,0
1924,37,Other,Canada,2.7,254.3,6.1,Good,20.9,77,Low,1.3,None,Other,1,1
1925,59,Female,Switzerland,1.4,136.8,4.9,Poor,22.4,75,High,4.7,Moderate,Other,0,1
1926,23,Female,Finland,2.1,197.1,5.9,Fair,25.2,75,Medium,14.0,Mild,Service,0,0
1927,18,Male,Belgium,1.8,171.5,3.4,Poor,33.0,73,High,12.9,Moderate,Student,0,1
1928,31,Female,China,0.8,79.4,5.1,Fair,19.7,77,Medium,3.5,Mild,Service,0,0
1929,48,Female,UK,1.6,149.5,7.2,Good,23.9,74,Low,7.7,None,Other,0,0
1930,58,Other,Japan,2.8,264.7,6.8,Good,22.5,67,Low,8.7,Mild,Student,0,1
1931,20,Male,Finland,1.0,98.6,6.2,Good,26.3,64,Low,4.5,None,Other,1,1
1932,40,Other,Sweden,1.5,141.3,6.6,Good,26.3,70,Low,5.2,None,Student,1,0
1933,29,Male,China,0.0,0.0,5.1,Fair,18.7,84,Medium,14.7,Mild,Office,0,1
1934,33,Male,Netherlands,4.7,442.7,7.1,Good,24.7,80,Low,2.1,None,Service,1,0
1935,66,Male,Germany,3.9,369.5,6.2,Good,15.7,76,Low,13.7,Mild,Office,0,0
1936,18,Male,Finland,4.3,409.2,7.0,Good,28.5,50,Low,5.3,None,Healthcare,0,0
1937,38,Female,China,3.0,289.0,7.1,Good,17.1,55,Low,3.6,None,Office,0,0
1938,40,Female,Germany,2.9,279.5,6.9,Good,20.4,74,Low,3.9,None,Office,0,0
1939,48,Female,Sweden,2.2,207.4,5.5,Fair,25.8,82,Medium,4.2,Mild,Healthcare,1,0
1940,36,Female,China,4.5,422.8,6.7,Good,21.4,67,Low,4.3,None,Service,1,1
1941,38,Female,France,2.5,240.9,7.1,Good,25.5,71,Low,3.8,None,Other,0,1
1942,30,Female,India,0.0,0.0,6.2,Good,31.2,65,Low,12.6,Mild,Service,0,0
1943,38,Male,India,0.0,0.0,7.4,Good,28.3,58,Low,4.0,None,Other,1,0
1944,30,Female,Sweden,3.0,289.3,4.8,Poor,22.1,66,High,12.9,Mild,Healthcare,0,1
1945,42,Female,Germany,1.1,100.8,7.5,Good,23.1,71,Low,14.5,None,Student,0,0
1946,30,Female,Canada,2.6,251.4,7.0,Good,19.2,88,Low,4.2,None,Healthcare,1,1
1947,39,Female,Belgium,3.6,345.6,8.2,Excellent,28.2,70,Low,8.5,None,Service,0,0
1948,34,Female,Italy,1.3,119.3,9.1,Excellent,26.0,70,Low,6.8,None,Student,0,0
1949,48,Male,China,2.1,194.8,6.4,Good,20.7,85,Low,12.7,None,Healthcare,0,0
1950,34,Male,Australia,2.1,200.0,7.3,Good,25.3,77,Low,4.6,None,Service,0,1
1951,18,Female,Germany,1.2,114.0,7.2,Good,17.8,76,Low,11.5,None,Student,0,1
1952,50,Female,India,0.4,33.8,6.6,Good,25.5,76,Low,7.1,None,Service,0,0
1953,24,Female,South Korea,0.9,81.8,4.7,Poor,29.1,65,High,9.5,Mild,Healthcare,0,0
1954,27,Male,Canada,0.3,24.7,5.6,Fair,26.9,70,Medium,8.6,Mild,Office,0,0
1955,27,Male,Japan,2.2,212.2,6.0,Good,25.1,75,Low,0.9,None,Office,0,0
1956,51,Female,India,2.2,210.2,7.0,Good,28.2,66,Low,8.8,Mild,Healthcare,0,0
1957,18,Male,Belgium,1.7,162.4,8.4,Excellent,22.2,69,Low,12.4,None,Other,0,1
1958,72,Female,Norway,0.4,35.1,6.8,Good,15.4,68,Low,4.3,Mild,Service,0,0
1959,47,Male,South Korea,4.2,395.0,7.6,Good,29.6,59,Low,6.0,None,Healthcare,0,1
1960,37,Male,Japan,1.6,148.8,8.5,Excellent,27.6,84,Low,3.1,None,Office,0,0
1961,34,Female,China,6.3,603.2,5.4,Fair,25.4,69,Medium,3.1,Mild,Service,0,0
1962,38,Male,Belgium,3.8,360.8,4.7,Poor,24.4,65,High,4.6,Mild,Other,0,0
1963,41,Female,Italy,0.0,0.0,7.0,Good,27.3,73,Low,11.3,None,Office,0,0
1964,42,Female,Australia,4.4,413.4,4.7,Poor,27.3,87,High,7.2,Mild,Student,0,0
1965,41,Male,Canada,1.4,137.4,9.0,Excellent,23.3,64,Low,10.4,None,Other,0,1
1966,36,Female,Switzerland,1.1,105.4,8.2,Excellent,29.3,70,Low,14.0,None,Service,0,0
1967,32,Female,Netherlands,2.1,198.7,8.4,Excellent,27.1,50,Low,11.0,None,Office,0,0
1968,33,Male,India,4.2,399.1,4.3,Poor,21.7,91,High,5.6,Mild,Service,0,0
1969,32,Male,Norway,3.3,312.1,6.1,Good,33.3,65,Low,7.7,Mild,Office,0,1
1970,48,Male,France,2.8,263.5,6.6,Good,20.9,50,Low,4.2,None,Office,0,0
1971,42,Female,Mexico,1.3,120.4,7.3,Good,16.2,81,Low,1.0,None,Student,0,0
1972,18,Female,Switzerland,3.9,371.9,6.0,Fair,18.7,58,Medium,10.0,Mild,Student,0,0
1973,42,Female,South Korea,1.0,97.3,3.7,Poor,28.8,56,High,9.9,Mild,Office,1,0
1974,37,Female,China,4.1,386.1,6.9,Good,29.0,60,Low,12.8,None,Student,0,0
1975,34,Female,Japan,3.0,285.0,8.7,Excellent,20.2,65,Low,2.4,None,Student,0,0
1976,30,Female,Netherlands,1.6,152.6,9.2,Excellent,21.7,86,Low,13.3,None,Other,0,1
1977,48,Female,Belgium,5.7,540.4,5.8,Fair,21.7,58,Medium,11.9,Mild,Student,0,0
1978,46,Male,UK,3.9,367.5,6.5,Good,27.4,79,Low,1.6,None,Other,1,1
1979,25,Female,Spain,3.3,317.1,5.3,Fair,19.3,63,Medium,14.7,Mild,Healthcare,1,1
1980,39,Female,Germany,2.7,252.2,6.7,Good,27.9,64,Low,0.6,None,Other,0,0
1981,23,Female,Japan,0.8,74.5,6.4,Good,24.8,66,Low,11.9,None,Other,1,0
1982,18,Female,Sweden,2.6,242.9,6.0,Fair,21.8,69,Medium,6.4,Mild,Office,0,0
1983,27,Male,China,4.9,466.1,4.5,Poor,22.2,75,High,13.0,Mild,Healthcare,0,0
1984,45,Female,South Korea,0.4,41.2,8.8,Excellent,23.1,52,Low,10.9,None,Healthcare,0,0
1985,46,Male,Brazil,3.4,318.3,6.2,Good,23.2,94,Low,0.9,None,Service,0,0
1986,41,Female,Netherlands,4.6,436.2,5.7,Fair,21.3,71,Medium,3.6,Mild,Healthcare,0,0
1987,43,Male,China,4.7,443.3,6.6,Good,32.4,59,Low,14.3,Mild,Service,0,0
1988,41,Female,Sweden,1.1,109.2,6.1,Good,26.3,84,Low,2.2,None,Service,0,1
1989,27,Female,Italy,1.7,159.9,4.2,Poor,27.6,68,High,1.0,Mild,Other,0,0
1990,40,Female,Netherlands,2.7,251.9,8.2,Excellent,24.6,69,Low,2.3,None,Other,1,0
1991,44,Male,Germany,3.2,302.2,6.6,Good,25.2,80,Low,10.8,None,Office,1,0
1992,44,Other,Netherlands,4.4,420.1,7.3,Good,22.8,52,Low,0.6,None,Office,0,0
1993,49,Female,USA,2.2,208.8,6.9,Good,28.5,77,Low,6.5,None,Student,0,0
1994,43,Female,Brazil,3.9,372.3,7.6,Good,24.4,73,Low,1.4,None,Service,0,1
1995,39,Male,Finland,0.0,0.0,7.8,Good,21.4,63,Low,10.3,None,Student,0,0
1996,47,Female,Netherlands,2.1,199.6,4.0,Poor,15.0,67,High,3.8,Mild,Office,1,0
1997,34,Male,France,3.9,372.1,7.0,Good,20.5,64,Low,10.3,None,Healthcare,0,0
1998,24,Female,USA,3.8,356.3,5.4,Fair,23.3,72,Medium,2.6,Mild,Student,0,1
1999,33,Male,Australia,1.1,100.9,5.8,Fair,24.2,72,Medium,5.9,Mild,Office,0,1
2000,26,Female,Australia,4.0,383.8,4.4,Poor,19.3,59,High,13.9,Mild,Other,0,1
2001,26,Female,Brazil,0.4,35.1,9.1,Excellent,15.4,61,Low,5.8,None,Service,0,0
2002,33,Male,Sweden,4.3,408.0,6.2,Good,32.9,51,Low,1.7,Mild,Student,0,0
2003,25,Female,USA,2.2,208.4,6.2,Good,24.0,58,Low,5.5,None,Office,0,1
2004,31,Female,France,1.8,173.2,5.8,Fair,22.7,61,Medium,6.8,Mild,Student,0,0
2005,18,Male,Australia,2.1,195.0,9.5,Excellent,24.8,50,Low,6.9,None,Student,0,1
2006,37,Female,Brazil,3.1,291.5,7.8,Good,19.7,75,Low,10.6,None,Office,0,0
2007,35,Male,South Korea,5.6,534.0,3.3,Poor,28.4,79,High,1.9,Mild,Office,0,1
2008,25,Male,France,4.3,411.1,8.0,Good,22.1,94,Low,6.9,None,Service,0,0
2009,42,Male,Spain,0.8,74.0,5.8,Fair,21.1,74,Medium,3.8,Mild,Student,0,0
2010,46,Female,Italy,0.9,89.1,7.6,Good,21.6,61,Low,6.7,None,Healthcare,0,1
2011,18,Male,Finland,0.0,0.0,6.5,Good,21.3,69,Low,2.6,None,Student,0,1
2012,25,Female,Finland,3.0,281.5,4.5,Poor,19.5,75,High,3.5,Mild,Other,0,0
2013,25,Female,Finland,2.2,213.3,6.0,Good,25.8,74,Low,8.3,None,Office,0,0
2014,23,Male,Spain,3.4,326.9,6.8,Good,26.3,61,Low,4.5,None,Other,0,0
2015,44,Female,Switzerland,1.7,166.1,7.0,Good,18.7,84,Low,2.4,None,Other,0,0
2016,32,Male,UK,1.9,181.0,6.3,Good,22.9,77,Low,9.3,None,Student,0,0
2017,31,Female,South Korea,0.3,30.6,7.0,Good,24.5,80,Low,12.5,None,Student,0,1
2018,18,Male,Mexico,4.2,394.7,6.5,Good,22.0,83,Low,12.3,None,Student,1,1
2019,42,Male,Sweden,1.6,151.7,7.9,Good,27.2,78,Low,12.5,None,Student,0,0
2020,20,Female,France,1.2,118.4,8.4,Excellent,30.2,76,Low,0.3,Mild,Service,1,1
2021,35,Female,Brazil,3.9,375.2,6.4,Good,25.9,76,Low,10.3,None,Other,0,0
2022,38,Male,Spain,0.3,27.2,5.4,Fair,24.0,71,Medium,15.0,Mild,Healthcare,0,0
2023,51,Female,USA,3.3,315.8,7.3,Good,20.9,69,Low,10.9,Mild,Service,1,0
2024,19,Male,Australia,1.3,128.0,7.6,Good,18.1,72,Low,4.0,None,Other,0,1
2025,18,Female,Switzerland,2.3,221.0,7.7,Good,20.8,62,Low,8.5,None,Office,0,0
2026,37,Female,Mexico,0.0,0.0,5.8,Fair,27.0,78,Medium,7.2,Mild,Student,0,0
2027,56,Male,Belgium,3.4,319.8,7.5,Good,20.1,66,Low,6.9,Mild,Student,0,1
2028,49,Male,South Korea,5.6,529.6,6.5,Good,28.9,67,Low,10.8,None,Student,0,0
2029,37,Male,Mexico,0.6,57.5,7.6,Good,22.4,70,Low,1.9,None,Other,0,0
2030,29,Male,India,4.2,402.1,5.4,Fair,19.4,73,Medium,1.8,Mild,Office,1,1
2031,44,Male,Mexico,2.4,230.8,4.4,Poor,24.9,72,High,7.6,Mild,Office,0,1
2032,23,Female,Italy,3.3,313.7,4.9,Poor,20.5,79,High,14.6,Mild,Service,1,1
2033,40,Other,China,0.7,69.3,8.0,Good,27.4,83,Low,0.9,None,Service,0,0
2034,41,Male,Italy,1.0,90.4,8.9,Excellent,20.7,62,Low,5.6,None,Other,0,0
2035,47,Female,Australia,2.6,250.0,7.5,Good,15.9,68,Low,7.6,None,Service,0,0
2036,68,Female,China,2.2,206.7,5.2,Fair,21.9,68,Medium,0.0,Moderate,Service,0,0
2037,39,Female,India,2.7,258.7,6.5,Good,17.7,71,Low,4.4,None,Student,0,1
2038,28,Female,Italy,0.3,28.9,7.3,Good,27.1,71,Low,1.7,None,Service,0,0
2039,34,Female,Canada,3.4,324.5,6.5,Good,28.2,61,Low,10.6,None,Service,0,0
2040,18,Male,Australia,3.1,292.8,6.7,Good,21.7,78,Low,6.6,None,Service,0,0
2041,26,Male,China,4.2,395.1,5.1,Fair,30.2,74,Medium,9.3,Moderate,Other,0,1
2042,30,Male,Sweden,3.0,282.6,4.8,Poor,20.6,64,High,9.0,Mild,Service,0,0
2043,28,Male,Brazil,5.9,558.9,4.9,Poor,22.7,77,High,5.4,Mild,Healthcare,0,1
2044,36,Male,Australia,5.5,523.6,4.7,Poor,19.7,68,High,0.5,Mild,Healthcare,1,0
2045,25,Female,Spain,2.5,240.0,6.8,Good,17.3,71,Low,4.0,None,Service,0,0
2046,48,Male,USA,2.5,234.3,6.9,Good,25.5,63,Low,7.2,None,Healthcare,0,0
2047,35,Female,Japan,1.3,119.2,5.2,Fair,30.0,78,Medium,3.0,Mild,Student,1,0
2048,34,Male,Belgium,0.5,44.3,6.8,Good,22.2,68,Low,14.1,None,Other,0,0
2049,31,Female,Canada,2.2,205.0,8.9,Excellent,24.0,74,Low,6.2,None,Service,1,0
2050,36,Female,Netherlands,1.5,145.7,6.9,Good,19.0,76,Low,5.3,None,Healthcare,0,0
2051,44,Male,South Korea,1.3,125.6,6.3,Good,21.7,78,Low,1.6,None,Student,0,0
2052,24,Male,Australia,3.0,287.6,7.6,Good,17.8,81,Low,4.1,None,Student,1,1
2053,27,Female,Brazil,0.1,12.9,9.8,Excellent,30.0,78,Low,8.7,None,Service,0,1
2054,31,Male,Spain,0.7,69.0,7.1,Good,19.2,72,Low,12.3,None,Student,0,1
2055,18,Male,Sweden,0.0,0.0,6.3,Good,24.0,72,Low,11.6,None,Student,0,0
2056,25,Male,Switzerland,0.5,44.8,7.1,Good,30.3,62,Low,10.3,Mild,Service,0,0
2057,29,Female,Italy,1.6,151.4,8.4,Excellent,24.5,78,Low,14.0,None,Healthcare,0,0
2058,45,Female,Netherlands,3.7,352.7,6.4,Good,23.6,56,Low,3.6,None,Office,1,0
2059,38,Female,Belgium,5.4,512.9,6.2,Good,25.3,80,Low,3.5,None,Other,0,0
2060,37,Female,Norway,0.0,0.0,8.7,Excellent,18.9,62,Low,0.7,None,Service,0,0
2061,45,Female,Finland,3.8,362.5,6.6,Good,16.7,86,Low,10.6,None,Healthcare,0,0
2062,33,Female,Japan,1.1,100.2,8.9,Excellent,24.9,75,Low,12.0,None,Student,0,0
2063,39,Female,Sweden,2.7,260.8,4.9,Poor,24.5,73,High,3.9,Mild,Office,1,1
2064,33,Male,USA,3.4,319.7,7.0,Good,25.2,72,Low,11.9,None,Student,0,1
2065,38,Male,Brazil,4.6,437.8,8.7,Excellent,15.0,84,Low,10.6,None,Office,0,0
2066,28,Female,Norway,6.1,578.9,9.0,Excellent,18.6,64,Low,8.1,None,Office,1,1
2067,18,Female,Belgium,4.1,386.1,5.9,Fair,24.5,77,Medium,8.3,Mild,Healthcare,1,0
2068,33,Male,China,1.8,169.8,6.4,Good,23.3,77,Low,10.6,None,Service,0,1
2069,52,Male,Mexico,0.2,18.3,9.3,Excellent,27.6,70,Low,15.0,Mild,Healthcare,0,0
2070,46,Female,Japan,2.8,270.6,6.2,Good,25.2,70,Low,4.8,None,Service,0,0
2071,46,Female,Brazil,3.5,329.5,5.9,Fair,28.8,86,Medium,1.1,Mild,Healthcare,0,0
2072,49,Male,Netherlands,0.8,72.9,6.3,Good,28.5,60,Low,10.5,None,Office,0,1
2073,36,Female,South Korea,3.7,348.0,5.4,Fair,26.4,55,Medium,0.4,Mild,Healthcare,0,0
2074,37,Female,Italy,1.9,176.5,5.4,Fair,23.5,69,Medium,13.4,Mild,Other,1,0
2075,27,Female,Japan,0.8,76.4,6.7,Good,25.3,68,Low,14.6,None,Service,0,1
2076,31,Male,India,2.7,257.0,4.6,Poor,25.7,71,High,10.9,Mild,Service,0,1
2077,42,Male,Germany,1.1,108.9,6.1,Good,28.8,64,Low,5.1,None,Healthcare,1,1
2078,49,Male,Spain,0.8,72.7,8.8,Excellent,22.6,70,Low,3.4,None,Office,0,0
2079,33,Male,UK,2.9,278.4,7.6,Good,25.7,57,Low,1.7,None,Office,0,1
2080,29,Female,Netherlands,3.1,296.7,5.9,Fair,18.4,94,Medium,0.1,Mild,Student,0,0
2081,35,Male,UK,2.0,185.4,7.0,Good,22.5,60,Low,6.5,None,Healthcare,0,0
2082,42,Other,South Korea,2.9,276.6,6.5,Good,24.9,76,Low,9.7,None,Student,0,0
2083,18,Male,South Korea,4.2,400.2,5.5,Fair,25.5,71,Medium,5.6,Mild,Office,0,0
2084,18,Male,Italy,3.7,356.1,3.7,Poor,26.5,71,High,6.6,Mild,Student,0,0
2085,28,Female,Canada,1.3,119.8,5.7,Fair,21.1,64,Medium,10.3,Mild,Service,0,0
2086,20,Female,Italy,2.5,241.5,6.3,Good,24.2,79,Low,6.1,None,Service,0,0
2087,28,Male,UK,1.5,137.9,9.8,Excellent,22.0,67,Low,11.6,None,Other,1,1
2088,33,Female,Belgium,0.4,37.9,7.7,Good,31.4,68,Low,9.6,Mild,Service,0,1
2089,29,Female,Japan,3.5,329.1,6.4,Good,18.0,61,Low,10.1,None,Other,0,0
2090,52,Female,Japan,4.0,380.4,7.0,Good,32.5,86,Low,9.3,Moderate,Office,0,0
2091,38,Female,Italy,1.8,169.9,7.0,Good,26.7,68,Low,1.8,None,Other,0,0
2092,38,Male,India,2.9,271.0,5.7,Fair,15.0,65,Medium,10.3,Mild,Healthcare,1,0
2093,42,Female,Canada,4.8,458.0,6.2,Good,22.0,72,Low,8.9,None,Healthcare,0,1
2094,21,Female,China,4.0,383.6,6.0,Fair,25.0,92,Medium,8.6,Mild,Service,0,1
2095,47,Male,Mexico,1.6,154.0,4.9,Poor,23.8,54,High,9.0,Mild,Other,0,0
2096,34,Male,Mexico,2.4,226.2,6.0,Fair,17.5,86,Medium,14.8,Mild,Healthcare,0,0
2097,43,Female,China,1.4,136.6,6.7,Good,19.4,86,Low,6.5,None,Other,0,0
2098,22,Male,Japan,2.8,270.2,7.1,Good,24.5,70,Low,1.6,None,Office,0,0
2099,18,Male,Finland,2.6,243.3,6.7,Good,18.4,50,Low,7.7,None,Student,0,1
2100,44,Other,Switzerland,0.8,73.2,8.0,Excellent,27.3,67,Low,2.2,None,Healthcare,0,0
2101,39,Male,Switzerland,1.8,172.5,6.5,Good,22.9,67,Low,12.1,None,Other,0,0
2102,24,Male,UK,0.0,0.0,8.6,Excellent,26.4,52,Low,3.7,None,Healthcare,0,0
2103,24,Female,Sweden,0.9,89.5,7.1,Good,19.6,51,Low,14.9,None,Healthcare,0,0
2104,48,Female,Italy,3.1,296.3,7.1,Good,18.6,83,Low,2.7,None,Office,0,0
2105,20,Male,China,2.7,257.9,6.9,Good,28.1,77,Low,5.7,None,Healthcare,0,1
2106,54,Female,Germany,3.9,372.4,5.8,Fair,23.7,60,Medium,2.2,Moderate,Student,0,0
2107,24,Female,Sweden,2.6,245.0,7.4,Good,17.4,73,Low,6.3,None,Healthcare,0,1
2108,42,Female,Australia,2.2,209.5,6.0,Fair,20.7,56,Medium,7.3,Mild,Office,0,0
2109,31,Male,France,5.3,502.3,5.1,Fair,24.8,58,Medium,11.2,Mild,Service,1,0
2110,42,Male,Netherlands,2.0,189.2,7.0,Good,18.1,65,Low,0.0,None,Office,1,1
2111,28,Male,Mexico,1.9,182.6,6.6,Good,15.0,62,Low,3.5,None,Office,1,1
2112,33,Female,Sweden,2.6,244.6,5.7,Fair,18.0,67,Medium,4.0,Mild,Other,0,0
2113,35,Female,Norway,1.3,126.7,6.9,Good,27.1,69,Low,9.0,None,Other,0,0
2114,22,Female,Netherlands,2.9,274.1,7.4,Good,17.0,63,Low,4.2,None,Service,0,1
2115,43,Female,Germany,1.4,134.3,6.6,Good,27.8,76,Low,7.3,None,Student,0,0
2116,28,Female,Australia,1.9,176.0,8.6,Excellent,25.1,80,Low,7.3,None,Healthcare,0,0
2117,32,Male,Canada,1.4,131.3,8.2,Excellent,21.0,55,Low,12.2,None,Office,0,0
2118,23,Female,Canada,0.0,0.0,6.5,Good,28.6,88,Low,13.1,None,Service,0,0
2119,18,Female,Switzerland,0.0,0.0,5.6,Fair,18.6,65,Medium,14.7,Mild,Student,0,0
2120,32,Female,France,0.4,34.6,6.8,Good,21.5,69,Low,12.6,None,Healthcare,1,0
2121,63,Male,Japan,4.2,400.1,6.9,Good,23.7,70,Low,13.2,Mild,Other,0,0
2122,44,Female,Italy,2.6,248.2,4.6,Poor,22.1,75,High,14.6,Mild,Service,1,0
2123,34,Male,USA,1.8,169.1,4.7,Poor,24.2,73,High,12.4,Mild,Office,0,0
2124,31,Male,Belgium,0.9,89.4,5.4,Fair,26.3,75,Medium,3.1,Mild,Service,1,0
2125,35,Female,Spain,4.4,417.2,7.7,Good,21.5,54,Low,11.9,None,Healthcare,0,0
2126,41,Female,Norway,1.5,146.1,8.5,Excellent,29.9,90,Low,10.6,None,Office,0,0
2127,20,Male,Norway,1.2,117.1,5.6,Fair,20.2,81,Medium,8.3,Mild,Office,0,0
2128,48,Female,Sweden,0.0,0.0,5.3,Fair,22.8,55,Medium,2.6,Mild,Student,0,1
2129,43,Male,South Korea,0.0,0.0,7.3,Good,25.7,66,Low,0.7,None,Office,1,0
2130,43,Male,Spain,3.2,303.2,6.7,Good,23.2,50,Low,3.3,None,Healthcare,0,0
2131,40,Male,Australia,5.0,477.8,4.8,Poor,18.2,55,High,13.2,Mild,Healthcare,0,0
2132,35,Female,Japan,2.9,279.7,5.4,Fair,23.8,69,Medium,4.0,Mild,Healthcare,0,0
2133,43,Female,Belgium,2.9,277.9,5.8,Fair,20.1,76,Medium,6.7,Mild,Office,1,0
2134,42,Female,Belgium,5.2,493.5,5.7,Fair,30.8,80,Medium,15.0,Moderate,Other,0,0
2135,30,Female,Norway,3.3,308.9,6.9,Good,29.7,58,Low,7.6,None,Service,0,0
2136,28,Male,Germany,2.5,236.4,3.8,Poor,24.4,91,High,11.5,Mild,Healthcare,1,0
2137,36,Male,France,3.3,317.2,8.8,Excellent,22.8,78,Low,11.9,None,Student,0,0
2138,53,Female,India,3.9,366.2,6.9,Good,28.2,59,Low,13.2,Mild,Student,0,1
2139,20,Male,Norway,3.3,310.1,6.6,Good,28.7,73,Low,5.0,None,Office,0,1
2140,18,Female,Norway,1.8,168.3,6.0,Fair,25.8,66,Medium,2.3,Mild,Office,0,1
2141,36,Female,Japan,3.1,295.4,5.5,Fair,29.6,59,Medium,13.3,Mild,Student,0,0
2142,35,Female,Belgium,1.5,138.8,5.8,Fair,25.4,65,Medium,9.1,Mild,Office,1,0
2143,37,Male,Spain,2.5,233.1,6.0,Good,24.5,70,Low,8.9,None,Student,0,1
2144,37,Male,Canada,3.1,294.1,7.0,Good,25.1,55,Low,8.5,None,Service,0,1
2145,32,Female,France,5.3,499.5,7.6,Good,21.6,70,Low,0.5,None,Other,0,1
2146,52,Male,Sweden,3.2,300.0,4.8,Poor,27.1,76,High,3.7,Moderate,Healthcare,0,0
2147,18,Female,Sweden,2.5,239.8,6.1,Good,23.1,81,Low,10.1,None,Service,0,0
2148,25,Male,Canada,1.9,180.4,6.9,Good,25.2,75,Low,0.5,None,Office,0,0
2149,33,Male,Canada,1.6,154.3,7.0,Good,22.8,66,Low,9.1,None,Service,0,1
2150,18,Male,Switzerland,1.9,182.4,6.0,Good,25.7,70,Low,0.8,None,Other,1,0
2151,32,Male,UK,2.6,243.2,6.2,Good,24.9,74,Low,0.1,None,Student,0,0
2152,54,Female,Norway,3.9,368.0,6.1,Good,27.9,74,Low,13.4,Mild,Student,0,1
2153,35,Male,USA,0.6,55.9,5.5,Fair,21.7,69,Medium,13.7,Mild,Student,0,1
2154,37,Male,China,3.6,346.7,5.3,Fair,21.5,70,Medium,4.4,Mild,Office,1,0
2155,19,Male,Canada,1.7,157.0,4.5,Poor,26.7,65,High,13.0,Mild,Other,0,0
2156,27,Male,UK,1.4,137.6,8.1,Excellent,30.7,70,Low,1.1,Mild,Other,0,0
2157,30,Male,India,3.3,310.3,7.2,Good,22.8,68,Low,6.2,None,Office,0,0
2158,31,Male,Netherlands,1.9,184.1,5.1,Fair,26.4,59,Medium,7.1,Mild,Healthcare,0,0
2159,50,Female,Sweden,3.2,305.4,5.2,Fair,20.4,78,Medium,6.1,Mild,Student,1,1
2160,41,Female,China,3.1,292.8,4.9,Poor,22.0,73,High,5.2,Mild,Service,0,1
2161,21,Female,India,3.7,352.3,5.3,Fair,24.2,65,Medium,9.2,Mild,Service,0,0
2162,37,Female,Finland,4.5,425.4,6.6,Good,25.2,70,Low,10.1,None,Service,0,0
2163,40,Male,France,0.0,0.0,10.0,Excellent,24.9,70,Low,14.4,None,Healthcare,0,0
2164,48,Female,UK,2.8,266.6,6.1,Good,23.0,78,Low,1.9,None,Office,0,0
2165,53,Female,Finland,1.4,132.1,7.4,Good,18.2,67,Low,13.5,Mild,Office,0,0
2166,22,Male,Norway,3.1,297.1,6.4,Good,18.8,71,Low,12.0,None,Student,0,0
2167,25,Female,France,0.4,37.2,7.2,Good,29.2,84,Low,4.2,None,Healthcare,0,0
2168,19,Male,India,2.6,244.8,6.3,Good,22.4,50,Low,3.0,None,Service,0,1
2169,32,Male,India,0.0,0.0,8.4,Excellent,23.8,60,Low,1.7,None,Office,0,1
2170,40,Female,China,2.6,243.7,7.3,Good,24.7,75,Low,6.4,None,Healthcare,0,0
2171,46,Male,Germany,2.5,238.3,6.6,Good,33.3,80,Low,8.3,Mild,Other,0,0
2172,34,Male,China,1.5,141.7,7.6,Good,22.9,59,Low,8.5,None,Healthcare,0,0
2173,31,Male,India,1.9,181.4,7.9,Good,28.0,61,Low,6.3,None,Student,0,0
2174,36,Male,USA,1.9,184.8,5.8,Fair,20.1,71,Medium,10.3,Mild,Service,0,0
2175,24,Male,Mexico,0.2,16.7,7.5,Good,21.9,53,Low,10.6,None,Office,1,0
2176,60,Female,Finland,0.6,52.8,8.0,Good,25.9,68,Low,7.7,Mild,Office,0,0
2177,18,Female,Germany,2.8,264.3,7.1,Good,26.5,69,Low,8.3,None,Other,0,1
2178,37,Female,Norway,4.1,389.7,7.2,Good,25.5,69,Low,2.9,None,Other,0,0
2179,59,Male,Canada,3.7,349.6,6.5,Good,24.1,62,Low,8.3,Mild,Other,0,1
2180,35,Other,China,0.0,0.0,7.7,Good,23.7,64,Low,1.1,None,Student,1,0
2181,32,Female,Finland,4.4,414.2,8.2,Excellent,29.1,54,Low,8.6,None,Service,0,0
2182,30,Male,Belgium,4.5,422.9,5.1,Fair,30.0,59,Medium,9.6,Mild,Other,0,1
2183,32,Female,Spain,1.4,131.1,6.8,Good,23.6,67,Low,14.7,None,Service,0,1
2184,51,Female,Spain,1.4,133.8,5.9,Fair,23.8,76,Medium,6.4,Moderate,Service,0,1
2185,18,Female,Germany,1.7,163.7,6.0,Good,22.9,73,Low,7.4,None,Other,0,0
2186,53,Male,Switzerland,3.0,284.8,7.1,Good,22.0,78,Low,6.8,Mild,Service,0,0
2187,18,Male,India,2.0,194.3,4.7,Poor,27.1,74,High,3.9,Mild,Office,0,0
2188,31,Female,Sweden,3.1,292.9,5.2,Fair,23.3,85,Medium,1.4,Mild,Service,0,1
2189,29,Female,UK,0.5,51.9,8.4,Excellent,24.9,62,Low,9.6,None,Service,0,1
2190,42,Female,Spain,0.9,84.8,5.3,Fair,25.6,75,Medium,1.1,Mild,Office,1,0
2191,18,Female,Japan,1.2,112.7,8.6,Excellent,15.0,73,Low,6.5,None,Office,0,0
2192,40,Female,UK,1.3,121.1,6.8,Good,21.5,71,Low,0.2,None,Healthcare,0,0
2193,59,Male,Brazil,3.1,298.4,6.4,Good,24.3,65,Low,14.1,Mild,Healthcare,0,0
2194,18,Female,UK,2.9,272.5,5.8,Fair,26.9,64,Medium,10.5,Mild,Other,0,0
2195,37,Male,France,3.5,331.3,6.1,Good,30.2,67,Low,3.3,Mild,Student,0,0
2196,27,Female,Norway,4.1,391.6,6.7,Good,24.1,58,Low,4.1,None,Service,0,0
2197,40,Female,Belgium,3.1,293.7,6.3,Good,18.1,59,Low,4.8,None,Service,0,0
2198,35,Male,Spain,0.0,0.0,5.9,Fair,26.2,69,Medium,7.8,Mild,Student,0,1
2199,27,Female,USA,1.9,178.0,7.5,Good,23.6,70,Low,9.5,None,Other,0,0
2200,40,Male,Netherlands,2.1,197.2,8.2,Excellent,32.0,69,Low,1.1,Mild,Service,0,1
2201,56,Male,Japan,2.9,274.2,4.6,Poor,28.9,56,High,9.9,Moderate,Healthcare,0,0
2202,32,Male,Spain,1.1,103.0,9.5,Excellent,18.9,55,Low,1.1,None,Service,0,1
2203,43,Male,France,4.7,448.4,6.6,Good,21.4,66,Low,13.7,None,Office,0,1
2204,19,Male,Germany,1.9,180.3,7.3,Good,29.9,90,Low,7.5,None,Service,1,1
2205,23,Male,USA,2.0,190.4,8.5,Excellent,24.4,61,Low,14.0,None,Service,0,0
2206,40,Female,Switzerland,2.2,209.6,4.1,Poor,26.3,77,High,9.6,Mild,Office,0,0
2207,52,Female,Brazil,1.7,164.0,4.8,Poor,23.0,66,High,6.0,Moderate,Healthcare,0,0
2208,39,Female,Canada,0.0,0.0,4.6,Poor,31.2,57,High,11.7,Moderate,Office,0,0
2209,31,Male,Finland,4.4,414.4,4.9,Poor,24.6,71,High,1.0,Mild,Student,0,1
2210,34,Female,Japan,1.5,147.1,7.5,Good,27.2,63,Low,8.8,None,Healthcare,0,0
2211,19,Female,USA,3.4,327.3,5.0,Fair,18.2,73,Medium,3.9,Mild,Service,0,1
2212,42,Male,Finland,1.9,176.9,5.6,Fair,19.1,71,Medium,12.6,Mild,Office,0,1
2213,45,Female,China,1.6,147.8,5.9,Fair,32.3,51,Medium,13.4,Moderate,Office,0,0
2214,29,Male,Canada,0.6,60.1,6.7,Good,19.4,75,Low,8.8,None,Healthcare,0,0
2215,29,Female,Finland,0.0,0.0,6.8,Good,26.5,60,Low,3.9,None,Office,0,1
2216,38,Male,UK,1.8,174.0,5.7,Fair,27.7,72,Medium,5.8,Mild,Student,0,0
2217,29,Male,South Korea,1.8,168.0,5.5,Fair,25.2,71,Medium,9.3,Mild,Other,1,0
2218,34,Female,USA,4.7,442.2,5.9,Fair,27.9,84,Medium,6.4,Mild,Service,0,1
2219,60,Male,Mexico,2.6,247.7,6.6,Good,16.7,70,Low,11.7,Mild,Student,0,0
2220,32,Male,Brazil,4.2,400.2,8.0,Excellent,28.9,74,Low,5.5,None,Office,1,0
2221,30,Female,Canada,0.2,23.5,5.8,Fair,15.0,57,Medium,7.6,Mild,Other,0,0
2222,27,Female,Norway,2.6,244.9,6.4,Good,27.4,83,Low,2.8,None,Service,0,1
2223,43,Female,Mexico,3.3,316.0,4.0,Poor,34.8,76,High,10.5,Moderate,Student,0,0
2224,32,Male,UK,2.7,253.5,7.9,Good,29.1,65,Low,13.0,None,Healthcare,0,0
2225,27,Male,Germany,2.7,258.9,6.4,Good,24.3,82,Low,5.5,None,Service,0,1
2226,50,Female,Sweden,2.1,202.0,7.6,Good,23.1,77,Low,14.3,None,Healthcare,0,0
2227,52,Male,Belgium,0.7,67.3,8.3,Excellent,23.9,67,Low,0.6,Mild,Service,0,1
2228,27,Male,South Korea,0.5,42.8,7.5,Good,19.7,51,Low,3.3,None,Office,0,0
2229,18,Female,Norway,3.6,338.2,6.6,Good,23.3,72,Low,6.2,None,Student,1,1
2230,47,Male,Norway,1.5,143.4,4.5,Poor,18.1,68,High,6.4,Mild,Service,0,0
2231,26,Male,Switzerland,1.9,176.7,6.5,Good,20.5,89,Low,11.9,None,Healthcare,0,0
2232,44,Male,Australia,1.5,143.3,5.6,Fair,27.6,74,Medium,13.3,Mild,Service,0,0
2233,18,Male,USA,1.2,110.2,5.5,Fair,27.2,59,Medium,4.5,Mild,Service,0,1
2234,45,Male,Spain,0.3,29.1,4.6,Poor,25.6,79,High,9.6,Mild,Service,0,1
2235,20,Male,Japan,4.8,456.4,6.0,Good,24.7,62,Low,8.3,None,Office,0,1
2236,43,Male,Japan,0.0,0.0,5.9,Fair,17.0,69,Medium,2.7,Mild,Student,0,0
2237,35,Female,China,3.5,335.5,5.5,Fair,22.5,70,Medium,4.9,Mild,Other,0,1
2238,23,Female,China,4.1,392.7,5.1,Fair,23.7,63,Medium,0.3,Mild,Service,0,0
2239,30,Male,India,2.7,257.7,8.2,Excellent,17.7,52,Low,4.6,None,Service,0,0
2240,43,Female,Canada,2.2,212.6,5.4,Fair,18.4,76,Medium,1.6,Mild,Office,0,0
2241,36,Male,Italy,2.8,270.7,6.1,Good,27.9,73,Low,13.5,None,Healthcare,0,0
2242,42,Male,Sweden,1.9,180.6,6.5,Good,25.3,66,Low,13.5,None,Other,0,1
2243,58,Male,France,4.0,377.5,6.1,Good,19.4,60,Low,10.2,Mild,Other,1,0
2244,18,Female,France,4.2,397.0,8.4,Excellent,29.5,83,Low,14.9,None,Other,1,0
2245,54,Female,Sweden,3.3,314.8,4.1,Poor,27.9,63,High,8.7,Moderate,Office,0,1
2246,36,Female,Sweden,0.0,2.3,7.3,Good,23.5,61,Low,3.0,None,Other,0,0
2247,24,Male,India,3.5,333.7,7.5,Good,18.9,64,Low,13.3,None,Healthcare,1,1
2248,19,Male,Canada,4.4,420.4,6.6,Good,30.4,74,Low,3.1,Mild,Student,0,0
2249,32,Female,Brazil,3.4,324.2,9.1,Excellent,30.7,69,Low,4.0,Mild,Other,1,0
2250,46,Male,UK,4.0,377.9,8.0,Good,28.7,94,Low,9.9,None,Service,1,0
2251,33,Female,South Korea,1.4,133.6,5.9,Fair,28.5,82,Medium,1.9,Mild,Healthcare,0,0
2252,53,Female,India,1.8,169.9,6.5,Good,23.8,54,Low,9.1,Mild,Healthcare,0,0
2253,18,Female,Belgium,4.5,424.2,7.2,Good,24.4,73,Low,4.5,None,Other,1,0
2254,34,Female,Italy,3.5,332.4,6.3,Good,29.4,82,Low,9.4,None,Service,1,1
2255,19,Female,Japan,2.1,202.3,6.5,Good,25.0,73,Low,12.0,None,Healthcare,0,0
2256,39,Female,Sweden,2.1,198.8,9.1,Excellent,20.7,59,Low,5.9,None,Office,0,0
2257,45,Female,Switzerland,2.5,240.3,7.8,Good,20.3,78,Low,5.0,None,Other,0,1
2258,29,Male,Mexico,2.1,195.0,9.2,Excellent,28.4,70,Low,5.0,None,Service,0,0
2259,18,Female,Australia,2.5,238.3,6.5,Good,32.4,66,Low,5.4,Mild,Student,0,0
2260,37,Male,Sweden,7.2,685.4,6.1,Good,26.2,74,Low,11.8,None,Healthcare,0,1
2261,40,Male,Canada,1.4,137.2,7.2,Good,32.9,71,Low,6.5,Mild,Student,0,0
2262,39,Male,Australia,0.0,0.0,7.8,Good,16.1,59,Low,10.7,None,Service,1,1
2263,49,Male,Finland,1.5,143.1,6.4,Good,19.0,54,Low,11.1,None,Office,0,0
2264,22,Female,India,3.3,316.5,5.4,Fair,22.0,93,Medium,8.0,Mild,Service,0,0
2265,43,Female,Brazil,3.4,323.3,5.5,Fair,16.0,64,Medium,6.8,Mild,Student,0,1
2266,49,Male,India,0.9,84.2,6.7,Good,23.1,68,Low,5.7,None,Service,0,0
2267,18,Male,Switzerland,1.9,183.8,4.7,Poor,28.7,74,High,9.8,Mild,Service,0,0
2268,38,Female,Spain,3.8,360.9,6.9,Good,15.9,76,Low,7.7,None,Healthcare,0,1
2269,28,Female,South Korea,2.3,222.2,3.9,Poor,27.7,67,High,4.4,Mild,Service,0,1
2270,34,Female,Belgium,1.0,91.6,5.0,Poor,19.1,70,High,8.0,Mild,Office,0,0
2271,39,Male,Canada,1.3,121.5,8.3,Excellent,20.7,75,Low,9.9,None,Healthcare,0,1
2272,29,Female,India,4.6,438.1,6.4,Good,23.5,66,Low,8.2,None,Office,0,1
2273,26,Male,Spain,1.8,172.9,7.2,Good,23.8,61,Low,0.2,None,Student,0,1
2274,35,Male,Norway,2.6,245.0,7.0,Good,28.0,64,Low,14.9,None,Service,0,0
2275,21,Male,Netherlands,0.1,9.7,9.3,Excellent,23.2,90,Low,11.4,None,Other,0,1
2276,21,Male,Italy,2.1,203.7,8.1,Excellent,26.8,76,Low,3.7,None,Service,0,0
2277,43,Male,Mexico,6.7,639.9,8.0,Excellent,28.2,65,Low,11.4,None,Other,0,0
2278,21,Other,UK,5.2,492.5,5.6,Fair,24.5,74,Medium,11.5,Mild,Healthcare,0,0
2279,42,Male,Spain,2.9,273.7,6.4,Good,32.7,71,Low,9.0,Mild,Student,0,0
2280,40,Male,Norway,4.9,467.7,4.5,Poor,21.5,80,High,9.4,Mild,Other,0,1
2281,18,Male,Germany,3.4,323.5,7.6,Good,20.8,91,Low,2.4,None,Service,1,0
2282,26,Male,France,6.0,568.9,7.0,Good,20.9,68,Low,5.6,None,Service,1,0
2283,49,Female,Netherlands,3.5,332.6,5.6,Fair,32.9,66,Medium,8.8,Moderate,Service,0,0
2284,23,Male,Germany,4.5,428.4,5.6,Fair,27.4,72,Medium,1.2,Mild,Student,0,0
2285,29,Female,Norway,0.0,0.0,7.5,Good,28.8,65,Low,14.7,None,Other,1,0
2286,40,Male,Mexico,3.1,292.5,6.3,Good,26.8,64,Low,1.5,None,Other,0,0
2287,44,Female,Belgium,1.6,150.1,5.9,Fair,23.6,82,Medium,6.1,Mild,Student,0,0
2288,31,Female,Finland,3.3,317.4,6.0,Good,24.6,60,Low,13.7,None,Office,0,0
2289,27,Female,Japan,3.3,312.0,6.0,Good,20.0,67,Low,0.2,None,Healthcare,0,0
2290,52,Female,UK,4.6,434.7,6.8,Good,32.3,89,Low,10.2,Moderate,Student,0,1
2291,55,Female,Belgium,4.1,386.4,6.1,Good,23.6,60,Low,5.8,Mild,Service,0,1
2292,46,Male,Australia,0.4,36.7,3.5,Poor,20.5,65,High,10.8,Mild,Office,0,1
2293,36,Female,Japan,0.0,0.0,6.9,Good,18.2,70,Low,10.0,None,Other,1,0
2294,25,Female,Sweden,2.2,208.3,5.8,Fair,30.9,65,Medium,9.0,Moderate,Healthcare,0,0
2295,25,Female,UK,3.6,344.5,7.3,Good,28.2,68,Low,13.0,None,Service,0,0
2296,41,Male,Netherlands,3.5,327.9,6.7,Good,26.0,50,Low,0.1,None,Service,0,1
2297,40,Male,Switzerland,2.6,247.1,5.8,Fair,16.5,74,Medium,2.2,Mild,Service,0,0
2298,51,Female,Netherlands,3.4,325.0,5.7,Fair,25.6,78,Medium,11.8,Moderate,Student,1,0
2299,42,Male,Brazil,3.7,354.7,6.6,Good,23.0,65,Low,9.5,None,Other,0,0
2300,18,Male,UK,2.6,247.2,6.6,Good,22.0,76,Low,13.9,None,Office,0,1
2301,47,Male,Australia,3.4,326.1,6.1,Good,29.6,68,Low,6.6,None,Healthcare,0,1
2302,23,Female,USA,3.6,338.7,6.3,Good,18.6,86,Low,8.2,None,Service,0,1
2303,30,Other,Germany,2.4,232.5,7.1,Good,18.2,50,Low,9.4,None,Student,0,0
2304,38,Female,Brazil,4.7,448.3,4.3,Poor,17.3,70,High,2.6,Mild,Student,0,0
2305,58,Male,South Korea,0.7,66.7,8.6,Excellent,20.4,85,Low,2.2,Mild,Healthcare,1,1
2306,72,Male,UK,5.0,472.7,5.7,Fair,18.4,78,Medium,3.8,Moderate,Office,0,0
2307,42,Male,Germany,4.1,386.4,7.8,Good,27.6,61,Low,5.8,None,Student,0,0
2308,32,Female,India,5.7,545.2,8.6,Excellent,20.4,64,Low,7.3,None,Student,0,0
2309,41,Female,Brazil,0.2,21.0,7.6,Good,24.8,60,Low,7.0,None,Other,0,0
2310,45,Male,Spain,2.0,187.4,4.4,Poor,21.4,81,High,11.9,Mild,Other,0,0
2311,31,Female,Canada,3.2,306.2,5.1,Fair,27.9,89,Medium,2.0,Mild,Office,0,0
2312,56,Female,USA,2.9,274.3,7.1,Good,26.9,65,Low,5.5,Mild,Healthcare,0,1
2313,37,Male,Japan,1.9,175.9,5.9,Fair,24.2,81,Medium,14.2,Mild,Service,0,0
2314,40,Male,Switzerland,3.0,281.2,8.3,Excellent,30.4,77,Low,11.6,Mild,Student,0,1
2315,42,Other,France,4.4,415.0,5.5,Fair,21.7,73,Medium,6.4,Mild,Service,1,0
2316,40,Male,Mexico,2.7,257.6,7.3,Good,22.6,64,Low,8.7,None,Service,0,0
2317,45,Female,Mexico,0.5,43.0,6.8,Good,24.6,67,Low,7.1,None,Service,0,0
2318,27,Male,Sweden,5.6,530.3,6.2,Good,26.5,81,Low,5.8,None,Office,0,1
2319,28,Female,France,1.1,100.9,7.6,Good,16.4,63,Low,2.0,None,Healthcare,0,1
2320,21,Female,China,0.7,63.9,3.1,Poor,28.6,78,High,2.5,Mild,Healthcare,0,0
2321,40,Female,Japan,1.4,134.1,6.7,Good,21.6,64,Low,4.3,None,Other,1,1
2322,44,Female,France,1.6,149.9,7.8,Good,26.6,66,Low,5.5,None,Service,0,0
2323,40,Female,India,2.9,276.8,5.2,Fair,20.9,72,Medium,3.8,Mild,Service,0,1
2324,55,Female,Spain,6.4,609.4,6.8,Good,29.4,59,Low,8.7,Mild,Student,0,1
2325,34,Male,Germany,1.2,110.0,6.6,Good,28.1,67,Low,9.0,None,Office,0,0
2326,43,Male,China,4.1,393.4,5.6,Fair,28.2,81,Medium,0.7,Mild,Service,0,0
2327,21,Female,Brazil,5.4,515.5,5.9,Fair,25.8,64,Medium,9.7,Mild,Office,0,1
2328,30,Female,France,1.9,177.1,8.4,Excellent,23.2,79,Low,7.0,None,Other,0,0
2329,43,Male,China,2.4,223.3,6.9,Good,17.2,62,Low,8.2,None,Office,0,0
2330,45,Male,Norway,3.0,281.0,5.1,Fair,24.2,87,Medium,13.4,Mild,Healthcare,0,1
2331,31,Female,Netherlands,1.8,172.5,7.1,Good,28.6,107,Low,2.8,None,Office,1,1
2332,34,Male,USA,0.0,0.0,7.1,Good,27.2,54,Low,6.1,None,Service,0,1
2333,18,Female,Mexico,4.5,430.2,7.7,Good,21.0,62,Low,7.3,None,Service,0,0
2334,30,Female,Finland,2.7,260.0,6.5,Good,36.3,79,Low,8.9,Mild,Service,0,0
2335,45,Female,Belgium,1.7,157.1,8.0,Excellent,28.2,71,Low,10.2,None,Service,1,0
2336,41,Male,Italy,2.4,231.3,6.7,Good,21.0,63,Low,1.9,None,Office,0,0
2337,41,Male,India,2.0,192.5,7.2,Good,21.7,63,Low,11.2,None,Service,0,1
2338,35,Male,France,3.4,321.9,5.6,Fair,19.9,68,Medium,3.3,Mild,Healthcare,0,0
2339,35,Male,Mexico,1.2,109.4,7.5,Good,23.5,66,Low,14.3,None,Student,0,0
2340,27,Female,South Korea,1.9,183.7,9.1,Excellent,30.3,66,Low,1.6,Mild,Service,0,0
2341,43,Female,UK,2.7,258.1,8.7,Excellent,25.8,63,Low,14.8,None,Other,0,1
2342,40,Male,Japan,0.0,0.0,5.7,Fair,30.6,50,Medium,13.9,Moderate,Student,1,0
2343,40,Male,Germany,2.1,202.5,4.6,Poor,30.3,70,High,13.3,Moderate,Office,1,0
2344,28,Male,Netherlands,1.5,139.5,7.2,Good,29.5,76,Low,0.5,None,Healthcare,1,0
2345,18,Other,Belgium,3.4,324.2,6.2,Good,30.8,72,Low,3.0,Mild,Healthcare,0,0
2346,48,Male,India,2.9,272.7,5.5,Fair,24.0,79,Medium,8.5,Mild,Other,1,0
2347,29,Female,Finland,4.4,418.3,8.9,Excellent,24.7,74,Low,10.8,None,Service,0,1
2348,24,Female,Finland,0.0,0.0,10.0,Excellent,18.5,67,Low,11.0,None,Other,0,0
2349,43,Female,Netherlands,1.6,149.6,4.6,Poor,26.4,71,High,0.7,Mild,Service,0,1
2350,30,Female,Switzerland,2.8,265.4,5.6,Fair,25.0,68,Medium,10.3,Mild,Service,0,0
2351,47,Male,Spain,4.4,421.6,4.8,Poor,32.0,64,High,7.4,Moderate,Healthcare,0,0
2352,42,Female,Canada,0.8,79.8,5.9,Fair,22.6,51,Medium,4.7,Mild,Healthcare,1,0
2353,43,Male,UK,1.3,123.0,8.2,Excellent,19.9,75,Low,10.3,None,Service,0,1
2354,18,Female,India,4.5,424.8,6.6,Good,18.2,67,Low,3.8,None,Healthcare,0,0
2355,49,Male,South Korea,6.0,565.8,7.1,Good,29.5,56,Low,9.7,None,Healthcare,1,0
2356,38,Female,Sweden,5.1,480.6,7.8,Good,24.7,75,Low,9.2,None,Healthcare,0,0
2357,30,Male,India,5.1,482.0,6.6,Good,22.8,50,Low,8.9,None,Service,0,0
2358,36,Female,Netherlands,3.1,298.9,5.4,Fair,24.9,70,Medium,8.0,Mild,Service,0,0
2359,18,Male,Finland,2.7,256.4,7.2,Good,18.9,78,Low,4.1,None,Student,1,0
2360,39,Female,Belgium,5.4,508.5,6.1,Good,18.8,80,Low,3.0,None,Healthcare,0,1
2361,22,Male,Italy,2.0,191.1,6.5,Good,30.9,53,Low,5.7,Mild,Service,0,1
2362,18,Male,Netherlands,1.0,93.5,5.9,Fair,24.8,67,Medium,14.6,Mild,Healthcare,0,0
2363,18,Female,Italy,2.9,277.9,7.7,Good,25.7,71,Low,11.8,None,Student,1,1
2364,48,Female,Sweden,2.0,186.1,7.3,Good,24.0,67,Low,5.8,None,Student,0,0
2365,27,Male,Mexico,1.3,128.0,7.8,Good,21.5,87,Low,10.3,None,Office,0,1
2366,53,Female,China,3.8,358.7,5.3,Fair,21.5,86,Medium,4.2,Moderate,Service,0,0
2367,28,Female,Italy,2.1,201.9,7.9,Good,19.9,70,Low,3.2,None,Student,0,1
2368,18,Female,Finland,2.8,263.8,7.0,Good,28.6,82,Low,8.8,None,Service,1,0
2369,21,Male,Switzerland,3.3,314.6,7.6,Good,25.9,65,Low,3.8,None,Service,0,0
2370,49,Male,UK,0.0,0.0,6.1,Good,21.9,73,Low,8.2,None,Healthcare,0,0
2371,33,Female,Switzerland,4.4,414.1,6.5,Good,27.0,68,Low,1.2,None,Service,0,0
2372,28,Male,South Korea,6.0,565.4,7.5,Good,20.8,88,Low,12.5,None,Healthcare,0,1
2373,36,Female,Belgium,4.4,420.0,7.0,Good,28.1,80,Low,5.7,None,Healthcare,0,0
2374,41,Male,Netherlands,0.0,0.0,6.9,Good,20.6,75,Low,0.2,None,Healthcare,0,0
2375,48,Male,Australia,2.8,269.6,7.2,Good,24.6,79,Low,14.4,None,Other,0,1
2376,52,Female,Belgium,0.0,0.0,5.9,Fair,21.3,58,Medium,8.2,Moderate,Service,0,0
2377,30,Female,India,4.3,407.6,7.2,Good,29.9,65,Low,13.7,None,Student,0,0
2378,19,Female,India,4.3,408.1,7.5,Good,29.8,68,Low,2.8,None,Service,1,0
2379,30,Male,Netherlands,3.1,290.6,7.1,Good,26.9,82,Low,4.5,None,Office,1,0
2380,38,Male,Norway,0.0,0.0,6.9,Good,23.7,68,Low,5.7,None,Service,0,1
2381,23,Male,Switzerland,2.5,239.0,7.0,Good,22.1,69,Low,2.9,None,Other,0,1
2382,23,Female,Netherlands,0.8,77.8,6.8,Good,24.9,64,Low,6.8,None,Office,1,1
2383,39,Female,Italy,2.7,257.3,6.4,Good,21.2,69,Low,4.2,None,Office,1,1
2384,34,Female,South Korea,2.5,235.4,7.5,Good,27.6,56,Low,1.9,None,Healthcare,0,1
2385,35,Male,Sweden,4.1,386.1,8.3,Excellent,23.2,81,Low,1.2,None,Student,1,0
2386,25,Female,France,2.3,215.0,6.9,Good,24.4,74,Low,3.9,None,Office,1,0
2387,32,Male,Finland,5.0,475.8,5.6,Fair,25.0,73,Medium,14.7,Mild,Other,0,1
2388,23,Female,UK,3.1,294.2,5.4,Fair,30.2,67,Medium,3.8,Moderate,Student,0,1
2389,45,Male,France,1.7,162.7,6.0,Fair,23.8,63,Medium,12.8,Mild,Service,0,0
2390,47,Female,China,2.4,225.1,9.3,Excellent,31.2,75,Low,6.9,Mild,Other,0,0
2391,18,Male,China,4.4,421.0,8.3,Excellent,27.5,61,Low,3.8,None,Student,0,1
2392,23,Male,Mexico,4.6,439.9,7.5,Good,27.4,64,Low,12.3,None,Other,0,1
2393,18,Male,India,0.0,0.0,8.5,Excellent,21.5,71,Low,11.3,None,Office,0,1
2394,27,Male,South Korea,0.7,67.2,6.3,Good,19.2,66,Low,9.3,None,Healthcare,0,0
2395,33,Male,Norway,1.6,148.1,8.0,Excellent,24.4,50,Low,4.3,None,Healthcare,0,0
2396,18,Male,China,4.6,437.9,7.7,Good,19.8,76,Low,11.4,None,Student,0,0
2397,23,Male,China,4.4,416.7,6.2,Good,16.8,69,Low,0.3,None,Healthcare,0,1
2398,22,Female,Italy,4.0,380.6,5.0,Poor,22.1,58,High,4.2,Mild,Office,0,0
2399,37,Male,Germany,4.2,399.3,4.6,Poor,17.5,69,High,12.9,Mild,Other,0,1
2400,35,Female,Australia,5.1,481.6,6.7,Good,27.9,80,Low,3.5,None,Healthcare,0,0
2401,26,Male,UK,3.3,317.3,5.9,Fair,19.5,79,Medium,9.4,Mild,Office,0,0
2402,37,Female,Spain,4.1,392.7,6.8,Good,17.4,72,Low,7.2,None,Other,0,0
2403,28,Female,Italy,3.1,299.1,6.2,Good,21.8,70,Low,6.4,None,Office,0,0
2404,31,Male,Canada,4.1,388.0,5.1,Fair,26.4,72,Medium,10.3,Mild,Student,0,1
2405,55,Female,Brazil,1.8,168.4,8.9,Excellent,22.3,72,Low,0.6,Mild,Other,0,1
2406,51,Male,Mexico,1.2,113.9,5.6,Fair,27.3,76,Medium,7.5,Moderate,Other,0,1
2407,19,Female,Japan,1.5,143.6,6.0,Fair,26.5,77,Medium,6.6,Mild,Office,0,0
2408,44,Female,Germany,2.1,198.3,6.7,Good,25.3,82,Low,11.3,None,Healthcare,0,0
2409,44,Male,Norway,3.7,353.7,6.6,Good,21.5,90,Low,6.4,None,Student,0,1
2410,21,Male,Belgium,5.0,472.5,4.4,Poor,25.7,99,High,13.6,Mild,Healthcare,1,0
2411,44,Male,Netherlands,1.6,151.3,7.7,Good,15.0,70,Low,14.9,None,Service,1,0
2412,53,Male,Norway,6.3,597.8,6.9,Good,23.6,68,Low,13.1,Mild,Student,0,0
2413,21,Female,Belgium,2.2,205.8,9.3,Excellent,28.7,73,Low,11.9,None,Student,0,0
2414,23,Male,Australia,2.5,240.3,7.0,Good,21.5,72,Low,10.8,None,Office,0,1
2415,47,Male,Mexico,2.9,278.3,6.4,Good,25.3,71,Low,8.4,None,Office,0,0
2416,38,Male,Sweden,1.6,147.6,5.7,Fair,16.7,67,Medium,11.8,Mild,Student,0,0
2417,41,Male,Germany,1.7,166.2,5.2,Fair,27.0,81,Medium,9.0,Mild,Student,0,1
2418,39,Male,France,2.0,194.1,6.5,Good,22.8,83,Low,14.4,None,Other,0,0
2419,39,Female,Belgium,0.7,70.1,5.3,Fair,22.7,76,Medium,13.3,Mild,Healthcare,0,0
2420,19,Male,China,1.3,120.7,7.8,Good,22.6,75,Low,8.6,None,Office,0,0
2421,47,Female,Spain,2.4,226.5,6.1,Good,25.2,68,Low,6.4,None,Other,0,0
2422,49,Male,Canada,1.9,179.6,8.2,Excellent,22.2,78,Low,3.0,None,Service,0,0
2423,32,Male,Netherlands,1.5,145.1,7.1,Good,24.5,74,Low,3.7,None,Student,0,0
2424,34,Female,Switzerland,4.0,383.6,6.8,Good,19.1,79,Low,3.3,None,Office,0,0
2425,18,Male,Germany,0.0,0.0,5.8,Fair,22.3,71,Medium,13.4,Mild,Student,0,0
2426,41,Male,Germany,3.4,320.9,7.3,Good,25.2,69,Low,13.8,None,Other,1,0
2427,41,Female,Belgium,2.7,259.0,7.1,Good,23.3,73,Low,4.8,None,Student,0,1
2428,34,Female,Finland,2.9,277.9,4.2,Poor,25.4,85,High,10.5,Mild,Student,0,0
2429,48,Male,Canada,0.7,62.5,8.4,Excellent,26.5,61,Low,1.9,None,Other,0,1
2430,30,Female,Switzerland,1.7,158.4,7.8,Good,26.4,74,Low,8.4,None,Healthcare,1,1
2431,41,Female,Italy,3.1,293.3,5.6,Fair,26.7,65,Medium,4.5,Mild,Other,1,1
2432,22,Male,Australia,1.7,160.5,7.9,Good,15.9,70,Low,14.3,None,Student,1,1
2433,34,Male,Italy,0.2,18.5,6.5,Good,19.3,56,Low,2.0,None,Healthcare,0,1
2434,32,Male,Germany,2.1,199.1,5.9,Fair,31.3,93,Medium,2.0,Moderate,Other,1,0
2435,37,Male,Switzerland,2.2,210.3,7.1,Good,27.9,69,Low,11.6,None,Other,0,0
2436,30,Female,Spain,3.6,341.4,7.6,Good,22.4,63,Low,4.7,None,Office,1,0
2437,33,Female,Germany,4.2,399.4,8.2,Excellent,26.4,88,Low,3.8,None,Other,0,0
2438,44,Female,India,2.7,257.2,8.7,Excellent,21.6,67,Low,3.1,None,Student,1,1
2439,29,Male,Spain,3.2,299.7,4.6,Poor,26.6,72,High,3.8,Mild,Office,0,0
2440,18,Male,Australia,4.1,387.9,4.3,Poor,20.2,66,High,14.8,Mild,Healthcare,0,1
2441,55,Female,Mexico,2.2,210.7,6.2,Good,25.5,53,Low,6.8,Mild,Office,1,1
2442,51,Male,China,3.3,314.7,5.4,Fair,23.2,72,Medium,3.8,Moderate,Service,1,0
2443,19,Female,Finland,0.4,35.2,9.9,Excellent,27.0,74,Low,0.9,None,Healthcare,0,1
2444,43,Female,Spain,1.7,157.3,7.1,Good,33.4,86,Low,1.8,Mild,Service,0,0
2445,28,Female,Italy,5.1,481.8,6.0,Fair,24.3,78,Medium,9.9,Mild,Student,0,1
2446,38,Male,India,4.0,383.5,5.7,Fair,16.5,72,Medium,3.9,Mild,Healthcare,0,0
2447,38,Male,Belgium,3.8,356.6,6.7,Good,24.8,66,Low,8.3,None,Healthcare,0,0
2448,32,Female,China,1.2,111.2,4.3,Poor,23.6,76,High,8.3,Mild,Office,0,0
2449,25,Female,Mexico,0.2,20.4,8.1,Excellent,15.0,85,Low,5.4,None,Service,0,0
2450,26,Female,Mexico,1.1,100.9,8.5,Excellent,20.9,59,Low,10.7,None,Service,1,0
2451,24,Male,Australia,2.7,252.2,4.5,Poor,26.9,50,High,0.5,Mild,Office,1,0
2452,25,Female,USA,3.3,313.2,7.2,Good,28.1,87,Low,6.3,None,Office,0,1
2453,34,Female,Canada,4.9,463.2,6.8,Good,28.2,61,Low,6.5,None,Office,1,0
2454,26,Male,Finland,0.7,65.8,7.5,Good,30.5,53,Low,1.9,Mild,Office,0,0
2455,43,Female,Finland,1.6,156.7,7.4,Good,22.8,70,Low,0.2,None,Other,0,0
2456,52,Female,China,4.9,470.2,5.0,Poor,20.1,64,High,8.0,Moderate,Office,0,0
2457,28,Male,Germany,0.1,11.0,6.8,Good,17.8,52,Low,4.4,None,Office,0,0
2458,37,Male,Spain,2.8,268.8,7.6,Good,24.0,73,Low,14.0,None,Office,0,0
2459,40,Female,Mexico,0.0,0.0,5.0,Poor,21.6,70,High,10.6,Mild,Other,0,0
2460,40,Male,Brazil,2.0,188.0,6.8,Good,20.5,76,Low,1.3,None,Student,0,1
2461,35,Female,Norway,5.4,517.7,6.9,Good,17.4,81,Low,9.8,None,Student,1,0
2462,43,Male,UK,3.3,315.8,6.1,Good,22.5,73,Low,13.1,None,Office,1,0
2463,40,Male,Finland,4.5,426.3,6.9,Good,20.7,80,Low,14.4,None,Healthcare,0,0
2464,20,Other,France,3.3,315.3,6.6,Good,21.1,57,Low,4.7,None,Other,1,1
2465,45,Female,Brazil,3.3,312.9,6.2,Good,31.0,50,Low,6.6,Mild,Office,0,0
2466,45,Male,Japan,0.1,4.9,6.5,Good,23.9,61,Low,9.7,None,Other,0,0
2467,25,Female,Mexico,5.6,531.8,7.7,Good,23.4,70,Low,13.6,None,Other,0,1
2468,35,Male,Australia,4.9,469.8,6.1,Good,27.2,71,Low,10.1,None,Student,0,1
2469,43,Male,Australia,1.4,131.2,5.8,Fair,22.1,73,Medium,5.8,Mild,Service,1,0
2470,32,Male,Australia,4.8,455.7,4.8,Poor,25.9,84,High,1.4,Mild,Service,0,0
2471,47,Male,Italy,4.1,389.1,4.6,Poor,26.7,76,High,2.2,Mild,Service,1,0
2472,63,Female,Netherlands,3.5,330.7,4.7,Poor,20.1,73,High,8.2,Moderate,Office,1,1
2473,25,Female,Canada,2.8,267.8,6.0,Good,23.0,64,Low,3.6,None,Service,0,0
2474,18,Other,Mexico,2.3,223.2,6.5,Good,18.1,82,Low,6.7,None,Office,0,0
2475,38,Female,UK,5.1,485.5,5.9,Fair,19.6,75,Medium,6.1,Mild,Healthcare,0,0
2476,43,Male,UK,2.7,256.7,5.6,Fair,21.1,63,Medium,8.6,Mild,Student,0,0
2477,32,Female,France,3.2,304.8,5.9,Fair,25.4,58,Medium,5.0,Mild,Healthcare,0,0
2478,52,Other,Spain,5.0,473.6,7.1,Good,19.7,82,Low,6.9,Mild,Office,0,0
2479,18,Female,Finland,4.2,403.2,7.6,Good,24.5,77,Low,8.7,None,Healthcare,0,0
2480,43,Female,Sweden,0.6,61.5,8.9,Excellent,22.9,82,Low,8.9,None,Service,0,0
2481,27,Female,Australia,1.6,154.2,6.8,Good,22.8,61,Low,7.0,None,Healthcare,0,0
2482,55,Male,Sweden,1.3,120.3,8.4,Excellent,27.0,50,Low,10.7,Mild,Other,0,0
2483,58,Female,Mexico,3.2,300.9,6.7,Good,30.8,74,Low,5.9,Moderate,Other,0,0
2484,25,Female,Norway,1.8,168.8,8.5,Excellent,17.5,54,Low,11.8,None,Student,0,0
2485,28,Female,France,1.9,183.1,7.4,Good,26.1,77,Low,14.8,None,Healthcare,0,0
2486,45,Male,France,2.1,204.1,6.7,Good,32.0,71,Low,11.4,Mild,Office,0,0
2487,30,Female,Belgium,3.1,290.4,4.2,Poor,27.9,86,High,11.7,Mild,Student,0,0
2488,34,Female,China,2.1,200.3,6.5,Good,26.4,71,Low,13.1,None,Service,0,1
2489,35,Male,UK,4.0,375.5,5.4,Fair,16.8,58,Medium,1.6,Mild,Service,0,1
2490,18,Female,China,0.9,82.1,6.4,Good,29.0,75,Low,8.4,None,Other,0,1
2491,34,Male,Switzerland,0.3,26.6,8.5,Excellent,30.6,71,Low,10.1,Mild,Student,1,1
2492,26,Male,India,1.5,144.5,7.3,Good,26.6,68,Low,13.7,None,Service,1,1
2493,29,Male,India,1.0,92.6,8.1,Excellent,27.7,73,Low,12.5,None,Healthcare,1,0
2494,52,Female,Canada,2.6,245.4,7.3,Good,28.2,73,Low,5.8,Mild,Student,0,1
2495,19,Male,Norway,1.9,180.5,5.6,Fair,26.7,64,Medium,4.7,Mild,Healthcare,0,0
2496,44,Female,India,0.6,52.4,9.2,Excellent,27.2,88,Low,4.4,None,Healthcare,0,0
2497,31,Male,France,0.5,49.7,6.7,Good,17.5,86,Low,3.8,None,Healthcare,0,0
2498,31,Male,UK,2.8,263.6,7.8,Good,34.0,70,Low,4.6,Mild,Student,0,0
2499,44,Male,Belgium,3.9,365.9,8.4,Excellent,27.9,70,Low,11.0,None,Student,1,0
2500,39,Male,China,1.4,136.9,5.2,Fair,27.7,57,Medium,1.7,Mild,Other,0,0
2501,41,Female,India,2.4,225.1,6.5,Good,25.5,77,Low,11.0,None,Student,1,0
2502,46,Female,Germany,1.5,146.0,7.6,Good,16.2,57,Low,2.9,None,Office,0,1
2503,31,Male,USA,2.3,215.9,6.3,Good,15.0,68,Low,9.4,None,Student,1,0
2504,27,Male,Australia,5.1,488.6,9.5,Excellent,26.0,79,Low,8.9,None,Other,0,0
2505,21,Female,Netherlands,6.2,593.7,6.4,Good,23.8,101,Low,8.9,None,Student,1,0
2506,25,Male,Norway,1.8,173.9,7.5,Good,27.0,71,Low,4.7,None,Office,0,0
2507,70,Female,Brazil,1.7,164.6,8.9,Excellent,22.8,80,Low,2.2,Mild,Student,1,0
2508,49,Female,Norway,3.1,299.1,4.9,Poor,22.6,60,High,11.9,Mild,Other,0,0
2509,18,Male,UK,2.7,254.7,6.1,Good,23.0,65,Low,3.6,None,Office,0,0
2510,19,Male,Italy,3.5,334.6,5.3,Fair,22.2,66,Medium,1.2,Mild,Other,0,1
2511,40,Female,Australia,2.3,219.7,7.2,Good,19.8,70,Low,2.4,None,Service,0,0
2512,41,Male,Brazil,2.2,211.6,8.6,Excellent,19.0,56,Low,1.7,None,Healthcare,0,0
2513,41,Male,Sweden,3.2,300.4,5.3,Fair,25.9,67,Medium,10.7,Mild,Other,1,0
2514,31,Male,Canada,2.9,272.0,4.9,Poor,26.5,55,High,11.2,Mild,Service,0,0
2515,33,Female,France,1.8,168.8,6.9,Good,15.0,81,Low,5.1,None,Student,0,1
2516,38,Female,Germany,2.7,255.2,8.2,Excellent,23.2,67,Low,11.5,None,Office,1,0
2517,36,Male,Mexico,2.7,255.5,5.7,Fair,23.1,64,Medium,12.6,Mild,Other,0,1
2518,18,Female,China,0.0,0.0,5.8,Fair,25.8,59,Medium,7.2,Mild,Office,0,1
2519,32,Male,Canada,2.4,229.4,8.5,Excellent,25.9,67,Low,12.4,None,Service,0,0
2520,24,Female,UK,3.9,366.2,6.2,Good,26.8,75,Low,7.6,None,Other,1,0
2521,37,Male,USA,1.8,175.0,7.5,Good,22.6,62,Low,12.1,None,Student,1,0
2522,70,Female,South Korea,1.4,131.5,8.4,Excellent,21.2,72,Low,6.6,Mild,Student,0,0
2523,39,Female,India,1.4,132.0,7.4,Good,17.1,76,Low,0.9,None,Student,0,1
2524,31,Male,Spain,3.0,284.3,6.6,Good,23.6,70,Low,3.3,None,Healthcare,0,1
2525,46,Male,Belgium,1.0,96.9,5.7,Fair,17.7,58,Medium,4.6,Mild,Student,0,0
2526,40,Male,Germany,2.9,271.4,5.9,Fair,21.2,77,Medium,6.6,Mild,Healthcare,0,0
2527,40,Male,Canada,2.7,260.2,7.0,Good,18.4,76,Low,7.1,None,Other,1,1
2528,42,Male,Spain,0.5,47.4,8.4,Excellent,29.4,81,Low,14.6,None,Other,0,0
2529,59,Female,Australia,3.9,372.2,5.8,Fair,18.9,75,Medium,7.1,Moderate,Service,1,0
2530,21,Female,Spain,4.4,415.9,5.6,Fair,20.6,63,Medium,5.6,Mild,Service,0,0
2531,40,Male,China,2.9,273.3,7.1,Good,26.2,72,Low,5.4,None,Office,0,0
2532,23,Female,Spain,2.6,243.0,5.7,Fair,28.6,72,Medium,13.3,Mild,Other,1,0
2533,41,Female,USA,1.7,166.1,7.3,Good,21.1,55,Low,5.8,None,Office,0,0
2534,23,Female,China,1.8,171.6,5.7,Fair,30.1,51,Medium,11.8,Moderate,Service,0,1
2535,29,Male,Canada,1.9,175.8,7.0,Good,22.9,76,Low,3.7,None,Office,0,0
2536,31,Male,UK,3.6,343.4,6.1,Good,28.6,69,Low,6.4,None,Service,0,0
2537,46,Male,USA,3.4,319.1,6.6,Good,24.2,65,Low,8.6,None,Healthcare,0,0
2538,46,Male,Brazil,0.0,0.0,8.0,Good,18.7,78,Low,8.5,None,Service,0,0
2539,20,Female,India,0.3,26.4,6.8,Good,20.5,81,Low,8.7,None,Other,0,0
2540,35,Female,Italy,1.3,119.5,7.3,Good,23.5,62,Low,11.1,None,Other,0,0
2541,26,Male,South Korea,1.8,171.2,5.9,Fair,28.2,89,Medium,7.7,Mild,Healthcare,1,0
2542,19,Male,India,3.1,298.9,5.9,Fair,26.2,58,Medium,2.7,Mild,Healthcare,1,0
2543,32,Female,Sweden,1.7,160.7,5.4,Fair,29.1,73,Medium,8.7,Mild,Service,0,1
2544,31,Female,Italy,3.1,297.2,6.5,Good,21.2,68,Low,4.5,None,Other,0,1
2545,64,Female,Germany,4.9,465.0,6.6,Good,17.6,85,Low,4.5,Mild,Service,0,0
2546,40,Male,Canada,1.6,154.5,7.2,Good,26.4,73,Low,1.9,None,Service,0,0
2547,18,Female,India,1.1,107.1,8.9,Excellent,25.8,64,Low,13.6,None,Healthcare,1,0
2548,28,Female,Belgium,0.8,76.9,7.4,Good,23.4,87,Low,1.0,None,Service,1,0
2549,47,Female,Mexico,0.9,90.1,6.3,Good,22.0,66,Low,0.6,None,Service,1,0
2550,60,Male,Sweden,3.3,316.5,9.3,Excellent,22.3,73,Low,10.9,Mild,Healthcare,0,0
2551,18,Male,Japan,3.6,345.6,5.5,Fair,21.0,53,Medium,10.6,Mild,Healthcare,0,0
2552,18,Male,Finland,3.4,326.8,6.7,Good,25.4,53,Low,5.3,None,Student,0,1
2553,57,Female,South Korea,0.9,88.0,8.2,Excellent,26.5,60,Low,11.1,Mild,Service,1,1
2554,39,Female,France,1.9,182.9,7.4,Good,29.2,68,Low,7.3,None,Student,0,1
2555,24,Other,India,1.9,183.3,4.2,Poor,24.0,87,High,10.9,Mild,Healthcare,1,0
2556,41,Female,Norway,5.1,482.1,7.1,Good,25.3,71,Low,8.2,None,Other,0,1
2557,18,Male,India,2.9,279.7,5.9,Fair,17.4,81,Medium,11.0,Mild,Student,0,1
2558,35,Male,Netherlands,2.7,253.2,5.7,Fair,24.4,65,Medium,11.6,Mild,Office,0,1
2559,38,Male,Belgium,2.9,277.1,4.5,Poor,26.4,87,High,4.3,Mild,Office,0,0
2560,46,Male,Canada,1.9,176.3,6.9,Good,20.8,77,Low,5.8,None,Student,0,0
2561,22,Female,Belgium,3.1,294.9,6.0,Fair,29.7,71,Medium,7.6,Mild,Office,0,0
2562,36,Female,Belgium,1.8,169.3,7.1,Good,20.8,80,Low,2.9,None,Other,1,1
2563,23,Male,Canada,4.6,440.9,5.3,Fair,25.0,71,Medium,14.6,Mild,Service,0,0
2564,38,Female,India,1.2,113.3,10.0,Excellent,24.7,71,Low,13.9,None,Other,1,0
2565,24,Female,Switzerland,2.8,264.4,6.1,Good,20.5,77,Low,11.7,None,Office,1,1
2566,30,Male,Italy,3.5,333.0,7.9,Good,23.4,76,Low,3.0,None,Service,0,0
2567,23,Male,Japan,2.4,226.1,8.0,Excellent,24.2,57,Low,6.8,None,Office,1,0
2568,42,Male,Spain,2.7,255.6,7.8,Good,24.4,71,Low,13.9,None,Student,1,0
2569,45,Male,Sweden,2.2,208.8,5.6,Fair,17.8,80,Medium,9.2,Mild,Other,0,1
2570,32,Female,Netherlands,1.1,107.4,9.1,Excellent,25.4,72,Low,5.8,None,Service,0,0
2571,35,Male,Italy,5.1,484.6,6.6,Good,28.0,75,Low,1.4,None,Healthcare,1,0
2572,18,Male,France,2.0,186.4,7.2,Good,27.5,79,Low,1.5,None,Other,0,1
2573,31,Other,Netherlands,0.5,51.4,6.8,Good,27.0,76,Low,10.2,None,Healthcare,0,1
2574,34,Female,Brazil,1.4,134.5,6.8,Good,20.1,60,Low,4.7,None,Student,0,0
2575,66,Male,South Korea,4.5,426.8,6.4,Good,26.7,58,Low,7.5,Mild,Office,0,0
2576,21,Female,Spain,5.9,562.0,4.3,Poor,18.0,88,High,11.3,Mild,Student,0,1
2577,52,Male,Australia,3.1,290.5,6.9,Good,23.3,67,Low,2.7,Mild,Healthcare,0,0
2578,46,Male,Italy,3.7,350.0,7.4,Good,19.5,66,Low,1.2,None,Service,1,0
2579,38,Female,Italy,5.3,500.6,5.5,Fair,27.9,71,Medium,5.6,Mild,Student,0,0
2580,56,Male,South Korea,1.1,100.6,6.7,Good,24.4,84,Low,2.4,Mild,Office,0,0
2581,39,Female,Netherlands,3.1,293.4,4.5,Poor,16.2,71,High,7.7,Mild,Service,0,0
2582,39,Male,Netherlands,5.2,497.8,7.5,Good,22.6,71,Low,8.3,None,Service,0,1
2583,34,Male,France,3.8,357.1,8.3,Excellent,18.2,66,Low,1.7,None,Office,0,0
2584,49,Female,Canada,2.1,198.7,6.9,Good,21.8,60,Low,11.9,None,Service,0,0
2585,48,Male,Sweden,3.0,289.0,7.0,Good,22.6,53,Low,0.4,None,Other,0,0
2586,27,Female,Switzerland,5.3,502.9,6.6,Good,26.6,72,Low,5.2,None,Service,0,0
2587,19,Female,China,2.7,259.1,7.5,Good,27.6,60,Low,0.7,None,Healthcare,0,0
2588,32,Female,Brazil,1.1,105.9,7.1,Good,18.3,66,Low,10.6,None,Other,1,1
2589,25,Female,Japan,3.4,324.6,7.7,Good,22.8,66,Low,13.2,None,Student,0,1
2590,34,Male,Norway,1.1,108.8,7.7,Good,22.4,75,Low,5.2,None,Service,1,0
2591,49,Female,Italy,1.4,132.9,7.7,Good,18.9,50,Low,4.9,None,Office,0,0
2592,29,Female,USA,1.8,171.2,7.2,Good,22.9,86,Low,10.4,None,Other,1,1
2593,34,Female,Finland,2.5,234.8,7.5,Good,27.5,73,Low,13.1,None,Service,0,0
2594,35,Female,Switzerland,1.2,117.0,5.9,Fair,19.8,75,Medium,13.3,Mild,Healthcare,0,1
2595,45,Female,Germany,3.1,296.0,4.2,Poor,27.4,61,High,8.8,Mild,Service,0,0
2596,18,Male,USA,2.0,188.0,6.6,Good,18.5,69,Low,8.9,None,Service,0,1
2597,27,Female,Japan,3.7,354.2,8.7,Excellent,30.3,75,Low,9.3,Mild,Other,1,0
2598,37,Male,Norway,2.6,243.3,7.4,Good,23.9,78,Low,7.6,None,Healthcare,0,0
2599,49,Male,China,2.3,215.6,7.5,Good,21.0,77,Low,8.0,None,Service,0,0
2600,29,Female,France,2.3,221.2,5.4,Fair,26.5,73,Medium,1.4,Mild,Other,0,1
2601,18,Male,Italy,4.7,445.5,6.8,Good,33.9,68,Low,14.7,Mild,Office,0,0
2602,42,Male,Australia,3.8,363.2,5.1,Fair,29.4,58,Medium,0.9,Mild,Service,0,0
2603,27,Male,Finland,0.4,33.9,6.9,Good,23.8,67,Low,7.2,None,Student,0,0
2604,20,Female,Mexico,1.8,166.3,6.4,Good,29.2,89,Low,11.8,None,Office,0,0
2605,27,Male,Spain,2.6,251.2,7.2,Good,33.1,57,Low,8.7,Mild,Service,1,0
2606,32,Female,Netherlands,0.0,0.0,7.0,Good,22.5,54,Low,1.4,None,Office,0,0
2607,27,Male,Switzerland,3.1,298.6,7.6,Good,24.7,91,Low,8.3,None,Student,1,0
2608,18,Male,Italy,1.2,116.6,8.1,Excellent,20.7,71,Low,13.6,None,Office,0,1
2609,45,Male,UK,1.4,132.8,8.3,Excellent,22.5,55,Low,9.3,None,Service,0,0
2610,50,Female,Brazil,1.4,137.5,10.0,Excellent,22.9,71,Low,11.7,None,Student,0,0
2611,42,Male,Spain,4.4,416.9,5.4,Fair,22.2,69,Medium,6.9,Mild,Healthcare,1,0
2612,21,Female,Brazil,3.4,324.3,6.0,Fair,28.7,87,Medium,4.7,Mild,Other,0,0
2613,32,Female,Germany,1.8,173.3,6.3,Good,16.5,85,Low,3.0,None,Other,0,1
2614,34,Female,South Korea,1.7,157.4,4.4,Poor,24.1,74,High,12.7,Mild,Service,1,0
2615,42,Female,Belgium,2.7,261.0,6.9,Good,23.8,77,Low,10.6,None,Other,1,0
2616,43,Male,India,4.9,464.9,6.2,Good,22.1,70,Low,2.7,None,Other,0,1
2617,26,Female,Italy,2.1,200.9,8.1,Excellent,27.3,89,Low,8.3,None,Service,0,0
2618,35,Female,Spain,0.0,0.0,8.1,Excellent,27.2,70,Low,10.6,None,Service,0,0
2619,40,Female,Mexico,2.8,261.5,7.1,Good,24.2,64,Low,8.5,None,Office,0,1
2620,52,Female,USA,2.9,276.4,6.9,Good,25.3,84,Low,14.2,Mild,Other,0,0
2621,43,Female,Mexico,3.1,290.1,5.9,Fair,23.8,74,Medium,2.8,Mild,Office,0,0
2622,44,Other,Norway,2.4,232.1,6.9,Good,26.5,69,Low,10.7,None,Other,0,0
2623,36,Male,Italy,2.7,257.0,7.1,Good,30.3,64,Low,9.2,Mild,Other,0,0
2624,51,Female,Japan,1.0,97.8,6.8,Good,28.3,67,Low,13.8,Mild,Healthcare,1,1
2625,39,Female,USA,4.1,393.0,6.4,Good,32.9,85,Low,12.9,Mild,Other,0,0
2626,24,Female,Germany,1.7,162.9,6.9,Good,27.4,70,Low,9.7,None,Service,0,0
2627,51,Male,South Korea,2.1,200.8,6.9,Good,16.7,70,Low,6.5,Mild,Other,1,0
2628,43,Female,Finland,3.1,293.5,7.6,Good,26.6,53,Low,2.5,None,Student,1,0
2629,29,Female,China,2.8,267.7,3.4,Poor,21.0,69,High,12.0,Mild,Healthcare,0,1
2630,29,Male,Finland,4.9,462.1,6.6,Good,29.2,71,Low,12.4,None,Office,1,1
2631,38,Female,Sweden,4.5,424.1,6.6,Good,22.9,75,Low,5.4,None,Other,0,0
2632,40,Male,Netherlands,1.8,167.2,7.8,Good,18.7,66,Low,3.4,None,Other,0,0
2633,37,Other,Italy,5.5,519.4,6.1,Good,25.4,76,Low,14.0,None,Office,1,0
2634,38,Male,Sweden,3.9,372.8,3.9,Poor,22.9,78,High,7.0,Mild,Healthcare,0,1
2635,55,Male,Australia,2.7,256.0,4.4,Poor,25.7,64,High,11.0,Moderate,Office,0,1
2636,47,Male,Switzerland,1.5,143.0,4.3,Poor,25.4,88,High,9.3,Mild,Other,0,0
2637,37,Female,France,2.4,228.3,7.9,Good,25.4,61,Low,10.5,None,Office,1,0
2638,46,Male,China,0.0,0.0,5.3,Fair,25.5,52,Medium,0.3,Mild,Office,0,1
2639,22,Female,Canada,3.3,314.9,8.1,Excellent,27.5,77,Low,9.4,None,Other,0,0
2640,39,Female,Sweden,0.5,49.5,6.5,Good,24.7,71,Low,8.2,None,Healthcare,0,0
2641,56,Female,Sweden,3.2,307.1,6.3,Good,23.5,77,Low,11.3,Mild,Service,0,0
2642,32,Male,Finland,1.8,169.2,8.8,Excellent,23.0,66,Low,14.1,None,Healthcare,0,0
2643,24,Other,Sweden,2.7,255.7,6.9,Good,22.6,83,Low,12.4,None,Service,1,0
2644,27,Female,Mexico,1.6,149.7,5.1,Fair,22.9,78,Medium,6.6,Mild,Other,0,0
2645,21,Male,India,1.4,134.7,6.9,Good,27.4,101,Low,8.9,None,Other,0,1
2646,25,Male,France,3.6,342.1,7.6,Good,29.3,67,Low,3.6,None,Service,0,0
2647,30,Male,Australia,1.6,148.4,6.1,Good,27.2,67,Low,0.0,None,Other,0,1
2648,18,Female,Finland,1.1,109.0,9.0,Excellent,25.2,63,Low,2.2,None,Other,0,0
2649,35,Male,France,0.9,87.9,5.4,Fair,24.4,61,Medium,1.1,Mild,Service,1,1
2650,45,Male,Finland,3.8,359.3,3.9,Poor,25.0,74,High,11.2,Mild,Office,0,0
2651,24,Female,Mexico,0.8,78.0,9.0,Excellent,25.0,58,Low,2.8,None,Healthcare,0,0
2652,53,Female,Spain,2.5,238.3,5.6,Fair,21.6,58,Medium,1.7,Moderate,Healthcare,0,0
2653,41,Female,China,5.8,552.8,5.0,Poor,21.1,74,High,4.3,Mild,Student,0,1
2654,47,Female,USA,1.5,139.4,6.2,Good,24.4,84,Low,14.0,None,Other,0,0
2655,27,Male,Norway,1.3,126.2,5.6,Fair,20.6,53,Medium,4.1,Mild,Office,0,0
2656,45,Female,Norway,4.1,392.3,7.5,Good,20.9,76,Low,9.9,None,Office,0,0
2657,21,Male,Sweden,0.7,68.4,6.3,Good,21.3,65,Low,12.5,None,Other,0,0
2658,45,Female,Switzerland,4.1,392.1,5.0,Poor,28.8,53,High,12.4,Mild,Healthcare,0,0
2659,37,Female,India,1.9,183.2,6.4,Good,30.0,65,Low,14.2,None,Student,1,0
2660,41,Male,China,3.9,366.2,5.3,Fair,24.0,81,Medium,5.4,Mild,Student,0,0
2661,20,Female,Finland,3.2,300.0,6.5,Good,24.3,78,Low,7.3,None,Student,0,1
2662,24,Male,Spain,3.4,319.4,5.4,Fair,26.9,53,Medium,3.6,Mild,Service,0,1
2663,42,Male,Switzerland,1.8,174.4,6.5,Good,20.4,71,Low,1.0,None,Service,0,0
2664,23,Female,Australia,1.9,181.6,6.5,Good,24.5,83,Low,14.7,None,Other,1,1
2665,40,Female,Canada,1.7,163.2,9.0,Excellent,31.9,86,Low,13.0,Mild,Student,0,0
2666,18,Female,India,4.5,426.9,7.7,Good,23.8,70,Low,4.7,None,Office,0,0
2667,45,Female,China,2.5,238.3,6.8,Good,23.6,68,Low,11.8,None,Service,0,1
2668,20,Female,Japan,5.4,515.2,5.8,Fair,23.7,77,Medium,12.4,Mild,Service,1,0
2669,41,Male,UK,2.8,270.5,6.2,Good,23.1,78,Low,3.7,None,Other,0,0
2670,42,Male,France,2.2,211.2,6.8,Good,25.7,64,Low,14.0,None,Service,0,0
2671,26,Male,Spain,2.2,206.7,5.7,Fair,25.2,71,Medium,4.8,Mild,Other,0,0
2672,41,Male,China,1.5,138.2,6.3,Good,15.8,68,Low,8.5,None,Office,0,0
2673,38,Female,Brazil,2.8,269.5,6.3,Good,26.3,78,Low,12.0,None,Other,0,1
2674,28,Male,Spain,2.4,224.9,6.6,Good,20.2,66,Low,8.9,None,Student,0,1
2675,22,Male,Japan,1.6,150.0,7.0,Good,26.7,59,Low,3.9,None,Service,0,1
2676,18,Male,Mexico,2.4,229.1,7.5,Good,24.1,51,Low,14.0,None,Healthcare,0,0
2677,39,Female,UK,1.7,166.2,7.8,Good,24.6,74,Low,0.1,None,Other,0,1
2678,18,Female,Italy,2.9,278.4,7.2,Good,24.9,61,Low,7.9,None,Office,0,0
2679,36,Male,Italy,3.6,339.4,8.6,Excellent,21.8,69,Low,0.7,None,Student,0,1
2680,31,Female,Italy,1.6,148.1,7.6,Good,21.6,70,Low,9.8,None,Other,0,0
2681,43,Male,Italy,1.8,172.4,6.7,Good,27.0,64,Low,0.6,None,Student,0,0
2682,31,Female,Germany,1.1,108.7,6.7,Good,21.9,74,Low,0.9,None,Office,0,0
2683,31,Male,Canada,4.2,399.1,7.5,Good,19.8,97,Low,7.4,None,Student,0,0
2684,43,Male,USA,0.0,0.0,6.7,Good,25.9,87,Low,10.3,None,Office,0,0
2685,39,Female,UK,1.5,143.7,7.3,Good,25.7,60,Low,6.3,None,Service,0,0
2686,38,Female,Australia,3.6,338.6,7.1,Good,23.8,64,Low,13.7,None,Student,0,0
2687,40,Male,South Korea,1.6,147.6,3.8,Poor,24.9,62,High,13.9,Mild,Healthcare,0,1
2688,18,Female,Canada,1.5,142.3,5.0,Poor,24.5,54,High,6.7,Mild,Healthcare,0,0
2689,44,Female,Belgium,3.5,333.3,7.5,Good,26.4,73,Low,9.0,None,Healthcare,0,0
2690,42,Female,Belgium,0.0,0.0,7.5,Good,27.4,74,Low,14.7,None,Other,0,0
2691,22,Male,China,2.5,241.7,3.3,Poor,26.1,73,High,12.3,Mild,Service,0,1
2692,32,Male,UK,1.7,159.1,3.5,Poor,27.6,72,High,2.0,Mild,Service,1,0
2693,34,Female,Spain,1.7,162.0,8.5,Excellent,30.5,51,Low,1.1,Mild,Office,0,0
2694,33,Male,UK,4.1,389.6,7.2,Good,25.9,53,Low,8.5,None,Office,0,0
2695,39,Male,India,2.5,234.6,8.3,Excellent,23.8,77,Low,12.6,None,Other,0,0
2696,52,Male,Sweden,0.8,73.0,5.7,Fair,17.7,69,Medium,11.4,Moderate,Student,0,1
2697,47,Female,USA,0.3,26.7,6.2,Good,18.8,79,Low,9.4,None,Other,0,0
2698,19,Male,Norway,2.4,228.9,8.8,Excellent,25.5,61,Low,12.5,None,Healthcare,1,0
2699,42,Female,Spain,0.4,41.2,7.4,Good,23.0,67,Low,2.0,None,Service,0,0
2700,50,Male,South Korea,4.3,409.4,6.5,Good,22.0,67,Low,7.1,None,Office,0,1
2701,39,Male,USA,0.8,80.2,6.7,Good,26.3,86,Low,11.8,None,Office,0,0
2702,48,Male,Norway,2.5,235.7,4.6,Poor,26.9,87,High,2.4,Mild,Service,0,0
2703,59,Male,Mexico,0.0,0.0,8.4,Excellent,25.3,59,Low,5.6,Mild,Healthcare,0,0
2704,47,Female,Italy,0.0,0.0,4.6,Poor,22.4,71,High,6.9,Mild,Healthcare,1,0
2705,37,Female,Canada,2.2,207.6,7.5,Good,31.9,79,Low,1.1,Mild,Healthcare,0,0
2706,47,Male,Italy,7.3,693.4,6.0,Good,23.7,83,Low,0.3,None,Service,0,0
2707,36,Male,Japan,1.7,157.4,7.1,Good,27.7,62,Low,7.6,None,Other,0,1
2708,35,Female,China,3.5,335.9,5.8,Fair,23.1,75,Medium,13.6,Mild,Healthcare,0,0
2709,30,Female,China,1.8,167.2,8.5,Excellent,19.8,72,Low,1.5,None,Other,0,0
2710,53,Female,Sweden,4.0,382.4,5.7,Fair,24.3,71,Medium,1.9,Moderate,Student,1,0
2711,25,Female,Mexico,2.4,224.4,6.6,Good,34.0,50,Low,0.9,Mild,Office,0,1
2712,53,Male,Australia,0.6,59.9,6.9,Good,27.9,64,Low,5.4,Mild,Other,0,0
2713,40,Female,Japan,2.1,202.0,6.3,Good,23.6,67,Low,5.9,None,Student,0,0
2714,18,Male,Mexico,0.0,0.0,7.5,Good,26.3,77,Low,14.7,None,Service,0,0
2715,39,Male,Norway,1.2,110.9,7.7,Good,22.7,68,Low,12.3,None,Student,0,0
2716,18,Female,Germany,3.1,291.9,6.4,Good,26.8,84,Low,5.5,None,Student,0,1
2717,42,Female,Sweden,1.5,144.2,7.5,Good,31.8,55,Low,5.7,Mild,Office,0,1
2718,45,Female,India,1.8,175.5,7.5,Good,21.9,84,Low,6.2,None,Student,1,0
2719,27,Male,Switzerland,3.9,371.3,6.9,Good,25.1,65,Low,8.9,None,Student,1,0
2720,36,Male,Brazil,1.7,166.0,8.5,Excellent,25.5,64,Low,13.1,None,Office,0,1
2721,58,Male,Brazil,3.3,310.5,8.5,Excellent,22.5,68,Low,3.4,Mild,Service,0,0
2722,28,Female,Norway,1.6,152.6,6.3,Good,22.3,54,Low,3.7,None,Healthcare,0,0
2723,22,Male,Japan,3.9,368.1,6.1,Good,24.7,72,Low,14.9,None,Other,0,1
2724,52,Female,Italy,4.5,424.1,7.2,Good,21.5,100,Low,7.3,Mild,Other,1,0
2725,58,Male,Brazil,0.0,0.0,6.9,Good,28.1,59,Low,10.3,Mild,Student,0,0
2726,35,Female,France,1.0,97.1,7.2,Good,23.3,65,Low,12.1,None,Healthcare,0,1
2727,47,Female,Switzerland,2.1,203.9,5.3,Fair,23.5,76,Medium,7.3,Mild,Healthcare,1,0
2728,51,Male,Canada,1.5,139.9,6.5,Good,20.3,69,Low,0.2,Mild,Student,0,0
2729,26,Male,China,3.8,359.7,6.5,Good,20.7,82,Low,11.2,None,Other,1,0
2730,29,Female,Mexico,2.8,268.8,5.5,Fair,22.1,55,Medium,8.7,Mild,Other,0,1
2731,49,Female,Netherlands,1.1,102.7,4.9,Poor,22.1,58,High,13.2,Mild,Healthcare,0,0
2732,55,Female,Canada,4.6,439.5,7.8,Good,19.9,74,Low,12.0,Mild,Healthcare,0,0
2733,41,Female,Australia,4.6,436.8,4.5,Poor,27.4,50,High,5.9,Mild,Student,0,0
2734,24,Male,India,0.5,47.9,8.8,Excellent,29.8,56,Low,0.6,None,Other,0,1
2735,58,Female,Mexico,1.6,151.2,8.1,Excellent,23.4,51,Low,8.2,Mild,Other,0,0
2736,28,Male,UK,3.8,356.4,6.8,Good,20.4,72,Low,14.7,None,Student,0,0
2737,30,Female,South Korea,3.9,369.9,7.0,Good,20.7,66,Low,2.6,None,Student,0,0
2738,39,Male,Finland,4.6,437.5,7.2,Good,24.9,57,Low,7.6,None,Service,0,1
2739,53,Female,Norway,6.2,589.8,5.6,Fair,24.4,74,Medium,1.8,Moderate,Healthcare,1,1
2740,45,Male,Netherlands,3.1,297.1,6.1,Good,17.8,79,Low,14.1,None,Healthcare,0,0
2741,39,Male,Canada,4.4,419.4,6.1,Good,15.6,58,Low,12.4,None,Healthcare,0,1
2742,40,Male,Switzerland,6.5,618.1,6.4,Good,24.4,71,Low,8.1,None,Office,0,0
2743,35,Female,Germany,2.5,235.4,5.8,Fair,26.9,73,Medium,9.6,Mild,Office,0,0
2744,41,Female,USA,1.3,125.8,6.2,Good,28.8,76,Low,9.7,None,Student,0,0
2745,18,Female,India,2.9,273.8,9.0,Excellent,21.5,55,Low,14.3,None,Service,0,1
2746,31,Male,India,4.9,464.5,6.6,Good,28.6,61,Low,14.6,None,Office,0,0
2747,37,Female,Italy,5.2,495.9,4.8,Poor,23.0,70,High,10.0,Mild,Healthcare,0,0
2748,21,Female,Finland,2.7,258.4,7.6,Good,19.3,70,Low,4.4,None,Service,0,1
2749,39,Male,USA,2.3,214.0,6.3,Good,31.3,93,Low,9.6,Mild,Other,0,0
2750,32,Male,Sweden,0.6,55.9,6.2,Good,17.5,78,Low,8.3,None,Student,0,0
2751,56,Male,South Korea,2.6,248.9,9.5,Excellent,23.3,67,Low,11.8,Mild,Office,0,0
2752,53,Male,Finland,0.7,69.6,7.0,Good,21.4,66,Low,12.9,Mild,Service,0,0
2753,29,Male,France,1.0,99.0,5.9,Fair,25.6,67,Medium,9.6,Mild,Office,1,0
2754,33,Female,Spain,2.9,271.2,5.9,Fair,27.8,58,Medium,7.8,Mild,Office,0,0
2755,34,Male,Netherlands,0.6,55.5,7.1,Good,16.8,67,Low,12.9,None,Student,1,0
2756,29,Female,Japan,3.0,288.1,6.7,Good,21.5,91,Low,6.7,None,Office,0,0
2757,37,Female,Netherlands,3.9,372.7,7.0,Good,27.8,50,Low,7.2,None,Student,0,0
2758,25,Female,Germany,0.9,87.4,4.8,Poor,20.6,70,High,0.3,Mild,Student,1,1
2759,21,Female,Belgium,1.6,153.6,5.4,Fair,17.8,91,Medium,1.1,Mild,Other,0,0
2760,42,Male,Netherlands,0.3,31.4,6.7,Good,22.3,87,Low,6.4,None,Healthcare,0,1
2761,42,Female,Switzerland,3.4,322.1,5.9,Fair,21.6,80,Medium,0.1,Mild,Other,1,0
2762,25,Male,Australia,0.3,25.5,5.7,Fair,27.2,70,Medium,3.1,Mild,Office,1,1
2763,45,Female,China,3.5,337.2,6.9,Good,24.3,80,Low,10.2,None,Other,0,0
2764,27,Female,UK,2.9,278.8,7.1,Good,21.1,74,Low,9.4,None,Service,0,0
2765,38,Female,Canada,5.7,545.1,8.2,Excellent,27.9,89,Low,8.5,None,Other,0,1
2766,44,Female,Sweden,5.0,475.8,7.1,Good,24.0,79,Low,12.4,None,Other,1,0
2767,34,Male,Sweden,0.7,68.3,7.5,Good,18.5,62,Low,5.4,None,Other,1,1
2768,40,Male,Canada,5.2,497.6,6.0,Good,21.4,92,Low,9.9,None,Student,1,1
2769,28,Female,UK,1.7,161.3,10.0,Excellent,22.0,68,Low,9.7,None,Healthcare,0,0
2770,32,Male,Belgium,1.3,122.5,6.4,Good,31.9,59,Low,9.9,Mild,Other,0,0
2771,32,Female,Spain,1.7,165.1,6.3,Good,23.3,74,Low,10.1,None,Other,1,1
2772,26,Male,Sweden,2.1,196.4,7.9,Good,18.9,79,Low,12.0,None,Healthcare,0,0
2773,32,Female,Brazil,5.7,545.2,4.2,Poor,23.4,72,High,9.1,Mild,Other,0,1
2774,18,Male,Netherlands,0.0,0.0,6.9,Good,26.8,71,Low,13.1,None,Healthcare,0,1
2775,29,Female,South Korea,5.3,501.4,6.3,Good,23.7,89,Low,6.4,None,Other,0,0
2776,31,Female,Sweden,3.7,355.7,6.0,Fair,28.4,69,Medium,14.6,Mild,Other,0,0
2777,31,Male,Norway,2.8,261.4,7.8,Good,27.0,79,Low,0.5,None,Service,1,0
2778,32,Male,China,1.6,152.2,7.4,Good,26.7,82,Low,2.0,None,Service,1,0
2779,34,Male,France,2.4,224.3,7.0,Good,26.7,63,Low,1.3,None,Service,1,0
2780,40,Male,Norway,3.8,358.8,6.5,Good,29.1,71,Low,6.6,None,Student,0,0
2781,45,Male,Canada,3.9,374.6,6.0,Fair,28.3,86,Medium,8.8,Mild,Office,1,0
2782,27,Male,Sweden,1.3,119.0,4.3,Poor,19.6,81,High,6.6,Mild,Service,0,0
2783,20,Female,France,3.7,347.7,7.1,Good,19.7,66,Low,3.2,None,Office,0,0
2784,22,Male,Belgium,1.6,153.7,7.9,Good,26.4,68,Low,3.5,None,Healthcare,1,0
2785,29,Other,Finland,2.2,212.4,6.7,Good,20.4,50,Low,12.1,None,Office,0,0
2786,30,Female,USA,4.5,424.5,4.5,Poor,19.6,83,High,0.8,Mild,Healthcare,0,0
2787,25,Male,Switzerland,3.7,350.6,5.9,Fair,27.6,77,Medium,14.9,Mild,Office,1,0
2788,19,Male,Italy,0.1,6.8,6.4,Good,22.3,52,Low,10.8,None,Healthcare,0,0
2789,29,Female,Canada,2.7,256.7,6.0,Good,26.9,78,Low,13.8,None,Service,0,0
2790,37,Male,France,3.1,297.3,7.1,Good,26.4,73,Low,2.7,None,Service,0,0
2791,42,Female,Japan,2.7,258.7,5.0,Fair,24.1,77,Medium,8.4,Mild,Service,0,1
2792,28,Female,China,0.0,0.0,6.8,Good,27.5,75,Low,7.9,None,Healthcare,0,0
2793,30,Male,Sweden,0.5,44.5,6.7,Good,26.0,68,Low,9.3,None,Student,0,0
2794,23,Female,India,0.0,0.0,8.8,Excellent,27.5,56,Low,11.7,None,Office,0,0
2795,34,Male,Australia,1.5,147.1,7.2,Good,18.5,65,Low,10.7,None,Healthcare,0,0
2796,24,Male,UK,2.7,257.1,6.1,Good,23.4,65,Low,5.9,None,Service,0,1
2797,41,Female,Australia,1.7,163.1,8.4,Excellent,18.5,52,Low,13.0,None,Office,0,1
2798,18,Female,France,1.6,149.0,5.3,Fair,22.7,71,Medium,0.2,Mild,Service,1,0
2799,30,Female,Spain,0.0,0.0,6.2,Good,20.0,76,Low,3.8,None,Student,0,1
2800,38,Female,Japan,0.6,59.5,4.7,Poor,20.0,61,High,7.8,Mild,Other,0,0
2801,37,Female,France,1.1,101.3,8.7,Excellent,24.2,73,Low,12.9,None,Service,0,0
2802,67,Female,China,3.8,363.1,6.7,Good,30.4,77,Low,6.0,Moderate,Other,0,0
2803,39,Male,Brazil,3.1,298.9,6.3,Good,25.3,77,Low,11.6,None,Student,1,1
2804,22,Female,Mexico,3.7,349.2,7.9,Good,25.0,63,Low,4.0,None,Other,1,0
2805,33,Female,Mexico,3.2,303.3,5.8,Fair,18.3,94,Medium,14.5,Mild,Service,0,0
2806,18,Male,UK,3.7,354.7,5.9,Fair,30.8,72,Medium,0.2,Moderate,Student,0,1
2807,34,Female,Canada,0.5,42.9,8.2,Excellent,24.8,57,Low,2.7,None,Office,0,0
2808,25,Male,France,4.5,427.9,5.6,Fair,28.4,67,Medium,0.3,Mild,Other,1,0
2809,45,Female,France,4.1,386.8,5.8,Fair,22.3,56,Medium,0.3,Mild,Other,1,0
2810,28,Female,Brazil,1.9,184.2,6.8,Good,26.7,66,Low,13.6,None,Healthcare,1,0
2811,33,Female,Japan,4.0,375.7,6.8,Good,18.3,84,Low,4.1,None,Service,0,1
2812,27,Male,Australia,4.3,410.8,7.2,Good,25.3,77,Low,3.5,None,Service,0,1
2813,55,Female,Sweden,2.4,229.9,6.4,Good,26.9,87,Low,4.0,Mild,Other,1,0
2814,31,Male,Norway,3.3,314.1,4.5,Poor,30.7,73,High,12.0,Moderate,Other,0,1
2815,56,Female,India,1.7,163.5,7.2,Good,32.1,83,Low,4.7,Moderate,Other,0,1
2816,44,Female,Netherlands,4.5,425.6,6.6,Good,27.3,59,Low,8.9,None,Service,0,0
2817,40,Female,Sweden,1.8,173.1,6.9,Good,19.3,59,Low,12.9,None,Healthcare,1,1
2818,39,Female,Switzerland,3.0,282.2,5.6,Fair,22.1,75,Medium,4.8,Mild,Other,1,0
2819,39,Female,Italy,2.4,231.4,4.4,Poor,22.2,79,High,2.2,Mild,Service,1,0
2820,18,Male,France,1.6,154.5,6.7,Good,28.9,78,Low,1.0,None,Service,1,0
2821,31,Male,South Korea,0.0,0.0,5.9,Fair,24.0,58,Medium,8.4,Mild,Healthcare,0,0
2822,45,Female,Finland,3.8,363.8,7.1,Good,25.2,87,Low,9.1,None,Healthcare,0,0
2823,34,Female,China,2.4,232.4,7.5,Good,32.1,50,Low,13.1,Mild,Healthcare,0,0
2824,18,Male,Australia,5.2,498.5,4.4,Poor,23.5,88,High,7.1,Mild,Office,0,0
2825,34,Female,Japan,4.3,410.9,5.5,Fair,19.9,58,Medium,13.0,Mild,Office,0,0
2826,55,Male,China,4.3,408.8,8.4,Excellent,26.1,88,Low,7.7,Mild,Other,0,1
2827,49,Male,Australia,3.6,342.0,5.9,Fair,20.4,65,Medium,8.9,Mild,Service,0,0
2828,34,Female,USA,3.6,345.0,6.7,Good,20.9,73,Low,8.1,None,Healthcare,0,0
2829,46,Male,Japan,2.7,259.8,7.6,Good,23.9,70,Low,4.5,None,Office,0,1
2830,30,Male,India,3.7,355.0,6.7,Good,32.9,56,Low,12.7,Mild,Other,0,1
2831,18,Male,China,1.8,173.7,8.0,Excellent,22.7,71,Low,13.3,None,Service,0,0
2832,23,Female,Japan,0.0,0.0,8.1,Excellent,26.5,57,Low,12.7,None,Healthcare,0,0
2833,53,Female,Spain,3.6,338.4,8.1,Excellent,23.1,65,Low,1.6,Mild,Office,0,0
2834,31,Female,Finland,3.6,341.5,6.7,Good,24.7,97,Low,10.0,None,Office,0,0
2835,32,Male,Italy,0.5,49.2,6.4,Good,29.6,71,Low,6.7,None,Service,0,1
2836,31,Female,Australia,3.3,310.7,4.9,Poor,27.0,67,High,1.5,Mild,Office,0,0
2837,57,Female,Netherlands,3.2,308.5,7.0,Good,24.1,79,Low,0.9,Mild,Service,0,0
2838,54,Female,Germany,4.1,391.3,7.9,Good,23.0,77,Low,10.5,Mild,Healthcare,0,0
2839,61,Female,Japan,2.3,222.4,5.8,Fair,30.1,60,Medium,6.0,Severe,Service,0,0
2840,33,Male,Sweden,0.2,20.6,6.2,Good,31.0,58,Low,5.7,Mild,Healthcare,1,1
2841,38,Male,Norway,1.8,168.5,6.3,Good,24.4,83,Low,3.2,None,Student,0,0
2842,18,Male,Sweden,1.8,168.0,5.7,Fair,27.5,73,Medium,9.0,Mild,Office,0,0
2843,52,Male,Australia,2.3,220.8,6.8,Good,28.4,92,Low,2.2,Mild,Student,0,0
2844,20,Female,USA,2.7,254.9,6.0,Fair,21.1,51,Medium,0.1,Mild,Service,0,0
2845,37,Female,Netherlands,2.1,203.7,5.2,Fair,23.3,83,Medium,0.2,Mild,Healthcare,0,0
2846,21,Female,Finland,3.1,293.9,5.5,Fair,27.0,76,Medium,5.5,Mild,Office,1,1
2847,27,Male,UK,0.9,81.0,8.6,Excellent,25.2,60,Low,10.8,None,Other,1,0
2848,24,Male,Mexico,3.0,288.8,6.7,Good,21.5,76,Low,9.0,None,Office,1,0
2849,27,Male,Mexico,1.4,129.4,8.5,Excellent,21.6,57,Low,3.8,None,Other,0,0
2850,28,Male,South Korea,2.2,208.8,6.0,Good,27.2,75,Low,1.5,None,Office,0,0
2851,28,Male,Spain,0.0,0.0,5.3,Fair,20.3,80,Medium,5.4,Mild,Healthcare,0,0
2852,45,Female,Switzerland,3.9,372.0,6.1,Good,22.5,70,Low,13.4,None,Service,0,0
2853,21,Male,South Korea,2.0,193.9,8.7,Excellent,20.7,67,Low,5.2,None,Healthcare,1,0
2854,37,Other,Spain,3.0,285.8,3.8,Poor,26.1,62,High,1.8,Mild,Office,0,1
2855,49,Male,Canada,1.3,120.5,4.7,Poor,28.7,81,High,13.4,Mild,Other,0,1
2856,28,Female,Mexico,1.7,157.7,6.4,Good,15.0,72,Low,4.9,None,Healthcare,0,0
2857,26,Female,Belgium,1.1,99.8,8.1,Excellent,19.8,66,Low,11.6,None,Healthcare,0,0
2858,32,Male,Spain,2.7,260.1,5.3,Fair,22.6,85,Medium,4.1,Mild,Other,1,1
2859,49,Female,Canada,3.4,319.5,6.7,Good,27.6,83,Low,13.0,None,Student,0,1
2860,37,Female,Italy,1.0,94.8,6.8,Good,18.3,70,Low,1.2,None,Office,1,0
2861,28,Female,Australia,2.7,257.4,8.0,Excellent,27.0,72,Low,3.8,None,Healthcare,0,0
2862,40,Female,China,2.1,202.6,9.5,Excellent,29.9,81,Low,10.9,None,Healthcare,0,0
2863,21,Male,Norway,2.8,265.2,5.6,Fair,24.4,71,Medium,5.9,Mild,Office,0,0
2864,43,Female,Netherlands,1.2,109.5,6.4,Good,25.6,56,Low,8.3,None,Other,0,1
2865,39,Female,Sweden,3.2,303.8,6.4,Good,23.8,73,Low,4.2,None,Office,1,0
2866,31,Male,Australia,2.1,197.8,5.7,Fair,17.8,77,Medium,5.4,Mild,Service,0,1
2867,24,Male,Switzerland,2.3,217.8,8.8,Excellent,22.1,83,Low,9.1,None,Service,1,1
2868,24,Female,China,6.0,571.0,4.8,Poor,27.7,89,High,11.9,Mild,Healthcare,0,0
2869,41,Male,Spain,0.0,0.0,8.5,Excellent,27.4,89,Low,13.4,None,Service,0,0
2870,49,Female,China,3.3,314.5,6.0,Fair,26.8,68,Medium,5.4,Mild,Office,0,1
2871,27,Female,Mexico,3.2,299.5,6.5,Good,23.4,71,Low,9.5,None,Healthcare,0,1
2872,40,Female,China,3.4,327.4,6.6,Good,26.7,54,Low,7.5,None,Service,0,0
2873,18,Male,India,3.4,321.0,5.9,Fair,24.2,64,Medium,9.8,Mild,Other,0,1
2874,27,Male,Netherlands,2.8,265.0,7.5,Good,17.2,54,Low,9.3,None,Service,0,0
2875,34,Male,Italy,3.1,295.7,7.0,Good,20.5,86,Low,9.3,None,Other,0,0
2876,24,Female,Finland,6.5,620.2,7.9,Good,21.5,73,Low,6.5,None,Service,0,0
2877,23,Female,Italy,2.2,212.9,7.4,Good,18.9,72,Low,4.4,None,Other,0,1
2878,26,Female,Finland,2.2,211.5,5.2,Fair,23.7,78,Medium,6.3,Mild,Office,0,0
2879,38,Female,Brazil,0.9,85.5,6.7,Good,27.0,70,Low,12.6,None,Office,0,0
2880,32,Male,Switzerland,1.3,119.9,8.7,Excellent,31.3,72,Low,5.1,Mild,Student,0,0
2881,18,Male,Spain,2.8,269.4,5.9,Fair,21.5,67,Medium,12.9,Mild,Office,0,0
2882,18,Female,Switzerland,3.1,290.1,8.3,Excellent,21.5,74,Low,2.5,None,Service,0,0
2883,27,Female,Netherlands,2.3,221.4,7.5,Good,27.7,83,Low,8.3,None,Healthcare,0,1
2884,40,Male,South Korea,3.5,330.5,7.4,Good,21.4,90,Low,1.6,None,Other,0,1
2885,18,Male,Italy,1.9,180.4,4.1,Poor,28.5,63,High,6.6,Mild,Office,1,0
2886,29,Male,Netherlands,6.2,591.6,6.6,Good,24.1,83,Low,14.6,None,Healthcare,0,0
2887,28,Male,China,2.7,259.3,9.1,Excellent,22.7,58,Low,9.4,None,Other,1,1
2888,51,Female,USA,3.5,333.5,5.4,Fair,23.1,58,Medium,0.3,Moderate,Other,0,0
2889,30,Female,Brazil,2.7,260.5,8.5,Excellent,31.0,66,Low,12.3,Mild,Other,0,0
2890,39,Female,Sweden,1.6,151.7,7.0,Good,23.7,65,Low,7.5,None,Office,0,0
2891,36,Female,Brazil,1.7,165.2,5.8,Fair,18.9,66,Medium,10.1,Mild,Other,0,1
2892,18,Female,Sweden,0.8,74.1,6.5,Good,31.3,66,Low,9.6,Mild,Student,0,0
2893,44,Female,Belgium,0.0,0.0,5.0,Poor,27.1,75,High,2.8,Mild,Office,0,0
2894,37,Male,USA,3.9,372.8,6.5,Good,24.9,85,Low,6.1,None,Healthcare,0,0
2895,41,Female,Italy,1.6,150.7,7.3,Good,15.0,89,Low,3.2,None,Student,1,0
2896,80,Male,Netherlands,2.4,228.3,9.5,Excellent,21.4,78,Low,2.7,Mild,Student,0,0
2897,18,Male,Spain,4.8,455.9,6.7,Good,23.7,85,Low,8.4,None,Office,0,0
2898,55,Male,Switzerland,4.3,404.1,8.1,Excellent,18.7,63,Low,3.1,Mild,Other,1,1
2899,31,Female,Belgium,2.7,258.9,5.4,Fair,22.1,79,Medium,3.0,Mild,Student,0,0
2900,38,Male,Australia,2.2,207.5,6.5,Good,19.9,65,Low,9.4,None,Service,0,0
2901,34,Male,Germany,2.3,215.6,7.0,Good,25.2,82,Low,6.0,None,Healthcare,0,1
2902,29,Male,Sweden,5.8,551.4,5.1,Fair,27.3,77,Medium,3.0,Mild,Service,0,0
2903,28,Female,Mexico,2.8,262.1,6.3,Good,27.1,74,Low,5.8,None,Office,0,1
2904,38,Female,UK,7.0,663.8,7.1,Good,27.0,66,Low,8.7,None,Student,0,1
2905,18,Female,Sweden,0.5,52.2,9.8,Excellent,21.3,64,Low,9.0,None,Other,0,0
2906,44,Male,Brazil,2.6,244.2,7.6,Good,30.9,56,Low,13.5,Mild,Other,0,0
2907,30,Male,Australia,4.2,403.6,5.5,Fair,25.1,66,Medium,14.0,Mild,Student,0,0
2908,21,Female,Italy,4.1,391.4,6.3,Good,16.1,64,Low,3.0,None,Student,0,0
2909,29,Male,Finland,3.4,327.5,5.2,Fair,26.3,63,Medium,7.4,Mild,Other,0,1
2910,50,Female,USA,1.6,150.5,7.1,Good,20.7,66,Low,6.7,None,Healthcare,0,0
2911,28,Female,Sweden,0.5,50.4,8.7,Excellent,23.0,91,Low,11.5,None,Office,0,1
2912,39,Female,Australia,2.2,212.0,7.0,Good,25.1,86,Low,2.9,None,Healthcare,0,1
2913,26,Female,Japan,4.1,386.2,6.4,Good,25.6,86,Low,3.4,None,Other,0,1
2914,44,Male,Sweden,5.1,479.8,6.2,Good,28.3,67,Low,2.4,None,Office,0,0
2915,43,Male,Netherlands,2.7,253.3,6.8,Good,24.8,71,Low,11.0,None,Office,0,0
2916,57,Female,Mexico,2.4,223.5,8.6,Excellent,29.3,67,Low,3.4,Mild,Other,1,1
2917,32,Male,Germany,2.8,267.3,7.5,Good,22.4,59,Low,6.3,None,Other,0,1
2918,43,Male,Brazil,2.8,268.9,5.3,Fair,28.3,71,Medium,3.9,Mild,Student,0,1
2919,36,Male,Switzerland,4.3,406.6,5.6,Fair,18.8,74,Medium,14.7,Mild,Student,0,0
2920,50,Male,Finland,1.9,185.0,8.2,Excellent,18.8,82,Low,9.7,None,Student,0,0
2921,26,Male,France,2.3,220.6,7.1,Good,26.0,72,Low,4.3,None,Other,0,0
2922,43,Male,Belgium,3.2,303.3,4.3,Poor,19.1,50,High,1.7,Mild,Healthcare,0,1
2923,32,Female,Mexico,1.6,147.4,8.0,Excellent,27.6,62,Low,6.6,None,Office,0,0
2924,34,Female,France,1.1,106.5,6.3,Good,25.6,65,Low,2.7,None,Healthcare,0,0
2925,36,Female,France,4.6,437.5,5.5,Fair,28.1,55,Medium,2.5,Mild,Service,0,0
2926,38,Female,Norway,2.5,234.1,7.9,Good,26.8,65,Low,4.4,None,Healthcare,0,1
2927,33,Male,Netherlands,3.8,364.4,7.6,Good,28.5,81,Low,14.5,None,Service,1,1
2928,37,Male,Canada,3.5,335.9,6.3,Good,28.3,66,Low,6.0,None,Service,0,0
2929,53,Male,France,0.4,41.5,7.5,Good,24.9,77,Low,3.2,Mild,Office,0,0
2930,46,Female,Japan,1.5,144.5,6.0,Good,23.7,71,Low,4.9,None,Office,0,0
2931,45,Female,China,2.6,246.6,5.7,Fair,28.5,80,Medium,7.2,Mild,Service,0,0
2932,29,Male,France,2.1,203.2,6.3,Good,31.2,56,Low,1.1,Mild,Other,1,1
2933,24,Male,UK,2.9,272.4,6.2,Good,23.0,76,Low,4.6,None,Service,0,0
2934,46,Female,UK,2.8,263.9,5.9,Fair,28.5,64,Medium,2.1,Mild,Student,1,0
2935,45,Female,South Korea,3.7,349.4,7.5,Good,23.1,84,Low,1.4,None,Office,0,1
2936,52,Female,Germany,2.4,231.3,6.8,Good,22.6,58,Low,13.6,Mild,Healthcare,0,1
2937,27,Male,Norway,2.6,247.4,5.5,Fair,26.5,82,Medium,4.3,Mild,Office,0,1
2938,32,Male,Switzerland,0.3,32.7,6.2,Good,27.3,70,Low,3.1,None,Other,0,1
2939,18,Female,Australia,1.6,151.8,5.3,Fair,26.4,74,Medium,10.5,Mild,Student,0,0
2940,30,Female,France,1.7,158.9,6.7,Good,24.7,72,Low,0.9,None,Other,0,1
2941,46,Female,South Korea,1.8,174.2,8.5,Excellent,24.8,53,Low,14.6,None,Healthcare,0,0
2942,29,Female,India,1.9,184.6,7.1,Good,18.9,77,Low,14.8,None,Office,0,0
2943,42,Female,Switzerland,3.4,323.0,6.6,Good,24.5,69,Low,11.5,None,Healthcare,0,1
2944,32,Female,Brazil,5.2,490.0,4.5,Poor,29.4,85,High,14.8,Mild,Student,0,0
2945,38,Male,Netherlands,0.5,45.2,8.6,Excellent,28.6,76,Low,3.8,None,Healthcare,0,1
2946,21,Male,UK,2.2,209.0,6.7,Good,21.6,80,Low,3.8,None,Service,1,0
2947,36,Female,UK,1.2,114.1,6.9,Good,26.4,68,Low,13.0,None,Student,0,0
2948,18,Male,Australia,0.5,46.8,5.5,Fair,26.0,75,Medium,9.1,Mild,Other,0,0
2949,32,Female,USA,1.7,162.3,6.6,Good,30.8,78,Low,10.8,Mild,Other,0,0
2950,18,Female,Sweden,0.9,87.5,5.8,Fair,27.8,80,Medium,0.2,Mild,Healthcare,0,0
2951,49,Other,Norway,2.8,270.6,5.8,Fair,25.4,80,Medium,7.0,Mild,Student,0,0
2952,44,Male,Brazil,2.3,214.3,4.6,Poor,26.8,83,High,4.2,Mild,Healthcare,0,0
2953,40,Male,Switzerland,2.1,195.0,4.4,Poor,21.3,63,High,2.3,Mild,Service,0,0
2954,53,Female,Mexico,3.0,281.4,9.1,Excellent,25.2,70,Low,7.8,Mild,Student,0,1
2955,23,Female,Sweden,0.4,33.5,7.2,Good,32.2,66,Low,4.2,Mild,Office,0,0
2956,55,Female,Sweden,1.0,93.2,8.2,Excellent,24.3,74,Low,8.2,Mild,Other,0,0
2957,46,Male,UK,3.0,288.1,6.2,Good,22.5,69,Low,1.2,None,Healthcare,0,0
2958,32,Male,Mexico,1.0,91.6,6.6,Good,29.2,63,Low,12.0,None,Service,0,0
2959,48,Female,Australia,0.0,0.0,5.7,Fair,22.7,64,Medium,14.2,Mild,Other,0,0
2960,21,Female,Canada,4.9,465.8,7.0,Good,20.4,71,Low,9.4,None,Student,0,0
2961,25,Female,Australia,3.0,286.3,7.4,Good,30.2,69,Low,2.1,Mild,Other,0,0
2962,27,Male,Germany,4.0,382.3,7.0,Good,22.3,62,Low,11.2,None,Other,0,1
2963,28,Male,South Korea,1.4,134.1,6.8,Good,23.8,70,Low,13.2,None,Office,0,0
2964,22,Male,Australia,0.4,40.5,7.3,Good,23.1,71,Low,5.5,None,Office,0,0
2965,49,Female,Switzerland,2.9,278.5,6.0,Good,31.7,64,Low,7.7,Mild,Service,0,1
2966,31,Female,China,0.8,80.5,8.1,Excellent,16.0,65,Low,1.0,None,Service,0,0
2967,39,Male,Japan,4.0,382.7,4.8,Poor,26.4,85,High,8.2,Mild,Healthcare,0,0
2968,28,Male,Germany,2.9,271.5,5.6,Fair,19.0,54,Medium,0.7,Mild,Office,0,1
2969,18,Female,India,2.8,265.3,6.3,Good,28.3,72,Low,5.3,None,Student,1,1
2970,38,Male,India,2.8,266.9,5.1,Fair,21.9,88,Medium,4.2,Mild,Healthcare,1,1
2971,18,Female,Belgium,5.6,527.3,4.3,Poor,23.0,69,High,2.7,Mild,Student,0,1
2972,34,Female,France,3.5,330.8,6.2,Good,23.0,80,Low,12.8,None,Office,0,1
2973,18,Male,South Korea,2.2,208.6,6.1,Good,24.4,55,Low,9.1,None,Student,0,0
2974,58,Male,Italy,2.7,257.0,6.4,Good,20.3,53,Low,10.2,Mild,Student,0,0
2975,45,Female,UK,1.2,113.5,6.8,Good,28.3,70,Low,7.4,None,Office,0,1
2976,36,Male,Sweden,1.7,162.8,7.5,Good,21.6,62,Low,11.2,None,Office,0,0
2977,50,Male,USA,4.4,415.8,6.5,Good,22.3,78,Low,5.6,None,Other,0,1
2978,24,Female,Finland,2.6,243.6,8.7,Excellent,20.0,74,Low,6.6,None,Student,0,0
2979,41,Female,Germany,3.6,346.2,6.7,Good,28.1,89,Low,1.2,None,Healthcare,0,1
2980,37,Female,Germany,1.2,110.7,8.7,Excellent,23.3,77,Low,4.8,None,Service,1,0
2981,38,Male,India,3.8,358.1,7.7,Good,30.2,70,Low,1.6,Mild,Other,0,0
2982,50,Male,Spain,2.2,209.3,8.0,Excellent,15.0,76,Low,7.2,None,Service,0,1
2983,43,Male,Belgium,2.8,269.9,4.7,Poor,27.3,70,High,14.1,Mild,Healthcare,0,0
2984,38,Male,UK,2.6,246.1,6.8,Good,19.3,58,Low,12.2,None,Healthcare,0,1
2985,18,Female,Australia,2.8,263.5,7.0,Good,21.1,78,Low,6.6,None,Office,0,0
2986,23,Male,Sweden,2.3,221.9,6.3,Good,24.0,76,Low,4.5,None,Student,1,0
2987,33,Female,Germany,4.4,420.5,6.5,Good,26.7,65,Low,4.9,None,Office,0,0
2988,36,Male,South Korea,0.2,23.0,5.7,Fair,35.3,85,Medium,7.1,Moderate,Student,1,1
2989,21,Male,Mexico,3.3,313.5,8.2,Excellent,21.0,64,Low,3.6,None,Other,0,0
2990,63,Other,Australia,1.5,142.3,6.8,Good,21.3,88,Low,5.1,Mild,Office,0,1
2991,53,Male,Germany,1.1,101.2,7.3,Good,21.5,69,Low,7.4,Mild,Office,0,0
2992,42,Male,Australia,5.7,542.2,5.2,Fair,22.4,56,Medium,12.6,Mild,Healthcare,0,1
2993,35,Male,South Korea,1.1,102.0,8.7,Excellent,28.2,89,Low,1.4,None,Student,0,0
2994,32,Male,Norway,0.0,0.0,8.0,Good,24.3,80,Low,6.1,None,Healthcare,1,1
2995,23,Male,China,3.9,373.7,7.7,Good,30.6,81,Low,2.9,Mild,Office,0,0
2996,35,Male,UK,1.8,167.2,9.2,Excellent,29.5,50,Low,9.6,None,Student,0,0
2997,38,Female,Netherlands,4.4,419.1,6.1,Good,26.8,50,Low,8.6,None,Student,0,1
2998,20,Female,Netherlands,0.0,0.0,7.7,Good,22.6,80,Low,8.7,None,Other,0,0
2999,39,Female,Switzerland,5.3,501.7,6.8,Good,16.8,83,Low,8.0,None,Healthcare,0,1
3000,33,Male,Spain,3.9,371.9,5.7,Fair,23.6,57,Medium,11.0,Mild,Other,0,1
3001,18,Female,India,2.2,207.9,7.1,Good,21.0,75,Low,2.3,None,Healthcare,0,0
3002,24,Male,Belgium,0.0,0.0,6.0,Good,23.8,69,Low,2.8,None,Healthcare,1,0
3003,30,Female,France,0.5,47.8,6.9,Good,22.7,58,Low,10.6,None,Student,0,1
3004,57,Female,Australia,1.5,139.0,4.8,Poor,22.5,65,High,2.0,Moderate,Student,0,0
3005,41,Male,Switzerland,3.6,339.2,5.5,Fair,23.9,90,Medium,10.9,Mild,Service,1,0
3006,18,Female,China,1.2,114.7,4.6,Poor,17.0,61,High,2.5,Mild,Office,0,0
3007,40,Female,Finland,0.0,0.0,8.8,Excellent,22.0,52,Low,14.9,None,Other,0,1
3008,18,Female,Italy,2.8,270.0,7.4,Good,29.1,66,Low,0.7,None,Service,1,0
3009,47,Male,Brazil,4.0,379.5,5.8,Fair,28.0,50,Medium,11.6,Mild,Other,0,1
3010,29,Female,USA,5.8,550.6,5.2,Fair,23.9,70,Medium,3.5,Mild,Other,0,0
3011,33,Female,China,1.0,91.3,8.2,Excellent,17.4,54,Low,4.9,None,Office,0,0
3012,50,Male,Italy,1.1,106.4,9.0,Excellent,22.8,59,Low,13.7,None,Other,0,0
3013,19,Female,France,0.0,0.0,7.9,Good,21.8,72,Low,4.6,None,Other,0,0
3014,18,Male,Norway,0.2,17.0,8.6,Excellent,24.7,55,Low,5.7,None,Student,1,1
3015,27,Male,Japan,0.9,85.6,6.9,Good,24.6,60,Low,2.7,None,Student,0,1
3016,47,Female,Switzerland,1.2,110.2,4.3,Poor,26.0,86,High,1.2,Mild,Student,0,0
3017,18,Female,South Korea,1.7,161.4,6.6,Good,18.4,72,Low,1.6,None,Office,1,1
3018,18,Female,India,3.4,321.8,6.6,Good,16.5,74,Low,8.9,None,Student,0,0
3019,29,Female,France,3.3,310.4,7.8,Good,22.3,78,Low,0.7,None,Service,0,0
3020,41,Male,Belgium,1.7,164.3,6.3,Good,19.8,71,Low,3.4,None,Service,0,1
3021,49,Male,Italy,2.5,239.7,5.2,Fair,24.8,81,Medium,5.9,Mild,Service,0,0
3022,29,Female,Australia,0.5,44.0,4.8,Poor,24.3,76,High,1.6,Mild,Office,0,1
3023,30,Male,Germany,1.7,156.9,7.5,Good,19.0,60,Low,11.2,None,Healthcare,1,0
3024,48,Female,Canada,0.6,53.4,6.6,Good,25.1,74,Low,14.6,None,Healthcare,0,0
3025,18,Female,Netherlands,1.4,132.1,5.5,Fair,26.8,55,Medium,13.4,Mild,Service,0,0
3026,30,Male,Belgium,5.3,501.9,7.0,Good,30.4,50,Low,14.3,Mild,Healthcare,1,0
3027,37,Male,Belgium,2.7,258.2,7.5,Good,19.5,84,Low,8.2,None,Other,0,0
3028,40,Female,Japan,1.6,152.8,6.5,Good,23.2,69,Low,2.2,None,Office,0,0
3029,28,Female,South Korea,3.2,305.6,7.7,Good,21.6,82,Low,10.0,None,Service,0,0
3030,35,Female,Mexico,1.9,181.2,7.5,Good,31.6,70,Low,0.9,Mild,Service,0,1
3031,18,Female,Mexico,5.0,477.5,6.1,Good,17.0,78,Low,7.1,None,Service,0,1
3032,27,Female,USA,3.0,287.8,6.3,Good,27.0,83,Low,11.8,None,Other,1,0
3033,40,Male,Finland,0.8,72.1,6.5,Good,22.4,55,Low,12.8,None,Student,0,0
3034,23,Male,Norway,4.5,425.5,6.3,Good,20.0,76,Low,4.4,None,Service,0,0
3035,35,Male,Belgium,3.4,325.7,8.3,Excellent,23.2,78,Low,3.3,None,Healthcare,0,0
3036,40,Male,Italy,3.2,304.1,7.9,Good,24.8,77,Low,10.3,None,Student,0,0
3037,30,Male,Sweden,3.7,355.3,7.1,Good,16.5,56,Low,2.1,None,Other,1,0
3038,37,Male,India,3.6,341.4,8.6,Excellent,22.9,71,Low,14.9,None,Service,0,0
3039,23,Male,Sweden,3.3,310.5,7.9,Good,22.7,78,Low,5.0,None,Student,0,0
3040,32,Male,China,2.3,214.5,6.5,Good,17.6,77,Low,11.2,None,Service,0,1
3041,42,Female,Japan,3.9,366.7,7.1,Good,27.3,89,Low,10.9,None,Service,0,0
3042,36,Female,Japan,2.2,213.0,8.3,Excellent,20.0,77,Low,4.7,None,Other,0,1
3043,27,Male,UK,4.5,426.8,6.4,Good,29.0,64,Low,5.8,None,Healthcare,0,1
3044,37,Female,Canada,3.2,308.5,6.3,Good,21.7,81,Low,12.6,None,Other,0,0
3045,43,Male,Finland,2.8,264.2,8.8,Excellent,15.4,81,Low,3.4,None,Other,0,1
3046,18,Female,Australia,3.4,327.6,7.1,Good,30.0,61,Low,0.9,Mild,Healthcare,1,0
3047,48,Male,Switzerland,2.7,260.0,7.8,Good,19.0,97,Low,2.2,None,Student,0,0
3048,30,Female,Finland,4.4,419.2,5.5,Fair,21.6,98,Medium,10.3,Mild,Other,0,0
3049,40,Male,Brazil,3.9,372.7,7.5,Good,21.1,66,Low,3.6,None,Service,1,0
3050,49,Female,Germany,2.6,247.9,6.4,Good,21.8,56,Low,8.5,None,Other,0,0
3051,18,Male,India,0.0,0.0,7.0,Good,24.6,58,Low,5.9,None,Healthcare,0,1
3052,26,Female,Australia,3.8,360.5,5.3,Fair,28.6,59,Medium,13.0,Mild,Student,0,1
3053,31,Male,Sweden,3.1,296.9,6.3,Good,15.9,57,Low,7.3,None,Healthcare,0,0
3054,25,Male,Italy,6.1,583.4,4.4,Poor,23.2,66,High,2.1,Mild,Service,1,0
3055,55,Female,Finland,0.6,52.3,8.3,Excellent,28.1,58,Low,12.5,Mild,Student,0,0
3056,24,Male,Mexico,2.2,206.4,6.0,Good,24.2,87,Low,1.2,None,Other,0,0
3057,28,Female,South Korea,0.2,17.1,7.4,Good,25.2,52,Low,12.4,None,Student,1,1
3058,37,Male,India,1.4,133.8,5.4,Fair,28.2,73,Medium,0.6,Mild,Other,0,0
3059,20,Male,Australia,4.8,459.5,6.9,Good,17.9,69,Low,0.1,None,Other,0,1
3060,30,Female,Germany,0.0,0.3,4.0,Poor,24.7,74,High,11.3,Mild,Office,0,1
3061,38,Male,Norway,0.4,39.1,5.9,Fair,27.3,68,Medium,8.4,Mild,Other,1,0
3062,31,Male,UK,3.4,320.1,8.1,Excellent,25.8,73,Low,3.2,None,Other,1,1
3063,33,Female,India,2.8,265.1,5.8,Fair,21.6,84,Medium,14.5,Mild,Other,0,0
3064,28,Female,USA,2.0,190.6,6.5,Good,16.8,65,Low,9.6,None,Office,1,0
3065,18,Female,Brazil,0.0,0.0,4.4,Poor,25.2,53,High,3.6,Mild,Student,1,0
3066,38,Male,Norway,4.4,417.9,8.0,Good,21.7,71,Low,6.2,None,Office,1,0
3067,56,Female,Spain,2.1,204.0,6.4,Good,26.4,62,Low,13.7,Mild,Healthcare,0,0
3068,35,Male,Norway,1.0,92.1,8.4,Excellent,20.8,74,Low,3.1,None,Other,0,1
3069,37,Male,USA,3.0,283.3,5.7,Fair,29.5,64,Medium,13.9,Mild,Office,1,0
3070,43,Female,UK,4.4,416.5,4.6,Poor,28.1,64,High,3.3,Mild,Office,1,0
3071,19,Male,Italy,2.1,199.6,8.4,Excellent,19.0,84,Low,0.4,None,Student,1,0
3072,55,Male,Finland,1.5,145.0,7.2,Good,30.6,92,Low,4.0,Moderate,Student,1,0
3073,37,Male,Canada,2.6,242.6,6.7,Good,18.6,62,Low,0.8,None,Student,0,0
3074,54,Female,Spain,3.1,292.0,5.8,Fair,26.4,71,Medium,3.5,Moderate,Service,0,0
3075,26,Female,Belgium,3.2,305.3,8.0,Good,23.0,67,Low,4.1,None,Student,1,0
3076,56,Female,Belgium,2.1,202.4,4.5,Poor,23.5,74,High,6.3,Moderate,Other,0,0
3077,44,Male,Italy,4.3,412.9,7.3,Good,28.4,68,Low,4.2,None,Office,1,1
3078,41,Female,Italy,1.2,112.4,5.4,Fair,25.4,77,Medium,10.7,Mild,Healthcare,0,0
3079,37,Female,Switzerland,2.2,212.9,7.2,Good,19.0,60,Low,14.6,None,Healthcare,0,1
3080,32,Male,Australia,2.2,212.2,9.1,Excellent,21.9,83,Low,0.7,None,Healthcare,0,0
3081,49,Male,France,0.2,18.0,6.9,Good,25.9,68,Low,7.7,None,Other,0,0
3082,36,Male,Mexico,3.0,289.2,6.4,Good,28.3,89,Low,3.9,None,Office,0,1
3083,18,Male,UK,2.6,250.8,6.0,Fair,27.4,89,Medium,6.9,Mild,Service,0,0
3084,21,Female,Germany,2.2,210.3,6.5,Good,23.2,73,Low,10.6,None,Service,0,0
3085,32,Male,Japan,3.3,309.6,6.0,Fair,22.6,67,Medium,13.2,Mild,Student,0,0
3086,38,Male,Sweden,2.2,209.7,6.7,Good,32.0,64,Low,13.3,Mild,Service,0,0
3087,34,Female,Japan,4.6,438.4,6.0,Fair,27.6,76,Medium,2.4,Mild,Office,1,0
3088,49,Female,Belgium,3.2,304.6,6.3,Good,23.2,76,Low,8.4,None,Student,0,0
3089,18,Female,Netherlands,3.1,290.9,5.9,Fair,24.1,67,Medium,4.2,Mild,Other,1,0
3090,36,Male,South Korea,1.5,141.5,6.6,Good,19.8,61,Low,7.5,None,Healthcare,0,1
3091,18,Male,South Korea,0.0,0.0,7.0,Good,22.6,59,Low,13.8,None,Healthcare,0,0
3092,44,Male,India,3.7,351.9,8.4,Excellent,21.7,83,Low,0.9,None,Student,0,0
3093,33,Male,Australia,0.0,0.0,8.9,Excellent,22.5,58,Low,8.9,None,Student,0,0
3094,40,Male,Netherlands,2.1,199.3,7.1,Good,28.5,64,Low,5.4,None,Student,0,1
3095,24,Female,UK,3.8,363.0,5.9,Fair,18.9,72,Medium,13.0,Mild,Office,0,0
3096,50,Male,Norway,1.2,113.9,7.2,Good,23.2,79,Low,3.3,None,Student,0,1
3097,47,Male,South Korea,1.8,171.8,5.7,Fair,20.2,73,Medium,5.0,Mild,Office,0,0
3098,42,Male,Norway,0.4,38.8,6.3,Good,25.0,58,Low,0.3,None,Student,0,1
3099,33,Female,Spain,1.1,106.1,6.9,Good,29.4,65,Low,6.4,None,Office,0,0
3100,41,Female,USA,1.3,124.2,6.0,Good,26.9,63,Low,9.5,None,Office,0,0
3101,26,Female,Canada,1.8,171.6,6.0,Fair,24.9,81,Medium,2.9,Mild,Service,0,0
3102,45,Male,France,2.7,255.9,6.0,Good,28.0,79,Low,9.5,None,Service,0,0
3103,54,Male,Norway,2.8,270.5,9.3,Excellent,27.6,59,Low,11.2,Mild,Student,1,0
3104,47,Male,Sweden,4.7,443.5,6.5,Good,22.3,69,Low,2.9,None,Student,1,0
3105,26,Male,Japan,1.8,168.2,4.7,Poor,17.2,72,High,11.3,Mild,Office,0,0
3106,39,Female,China,3.3,316.8,6.7,Good,28.7,57,Low,14.0,None,Office,1,0
3107,19,Female,Netherlands,1.5,146.9,7.3,Good,19.3,80,Low,3.3,None,Service,0,0
3108,41,Female,Norway,5.0,476.3,6.2,Good,19.3,74,Low,2.0,None,Other,0,0
3109,40,Female,Germany,2.7,255.1,7.3,Good,22.9,78,Low,5.0,None,Healthcare,0,1
3110,18,Female,Norway,2.2,208.0,6.0,Fair,21.7,56,Medium,2.9,Mild,Healthcare,0,0
3111,21,Male,Spain,1.3,124.7,6.6,Good,19.3,70,Low,11.6,None,Other,0,0
3112,31,Other,Mexico,3.9,366.6,6.3,Good,23.7,70,Low,2.0,None,Other,0,0
3113,31,Male,Italy,2.7,256.0,5.8,Fair,22.8,61,Medium,0.3,Mild,Healthcare,0,1
3114,20,Female,USA,2.8,266.6,5.4,Fair,25.9,68,Medium,5.3,Mild,Service,0,1
3115,39,Male,USA,0.9,87.0,7.0,Good,24.1,79,Low,11.8,None,Healthcare,0,0
3116,38,Male,Germany,1.3,126.0,7.1,Good,25.3,61,Low,9.8,None,Other,0,0
3117,32,Female,Norway,0.0,0.0,3.6,Poor,23.4,69,High,8.0,Mild,Healthcare,1,1
3118,25,Male,Canada,1.7,164.9,6.1,Good,25.3,86,Low,6.9,None,Healthcare,0,0
3119,47,Male,Norway,1.8,169.2,6.4,Good,22.3,54,Low,9.7,None,Other,1,0
3120,54,Male,Japan,0.5,45.9,7.1,Good,23.5,69,Low,7.4,Mild,Service,0,1
3121,29,Male,South Korea,2.4,227.2,7.6,Good,20.6,64,Low,11.6,None,Healthcare,0,1
3122,27,Female,Switzerland,2.0,187.9,6.3,Good,20.5,76,Low,13.0,None,Student,0,0
3123,40,Female,Italy,1.4,134.1,7.5,Good,24.2,68,Low,2.6,None,Student,0,1
3124,30,Male,Italy,1.2,115.3,5.2,Fair,31.3,80,Medium,3.5,Moderate,Healthcare,1,1
3125,33,Male,Mexico,2.7,261.1,8.2,Excellent,25.7,76,Low,7.7,None,Other,1,0
3126,43,Female,Sweden,1.3,126.6,6.7,Good,22.0,72,Low,13.0,None,Student,0,1
3127,18,Male,China,5.0,471.8,4.4,Poor,18.1,80,High,13.8,Mild,Healthcare,0,1
3128,50,Male,Canada,2.2,211.3,7.4,Good,26.8,68,Low,1.9,None,Other,0,0
3129,35,Male,South Korea,3.9,368.4,6.1,Good,28.6,66,Low,4.5,None,Student,0,0
3130,30,Female,Mexico,0.8,74.3,9.1,Excellent,26.0,72,Low,11.5,None,Service,0,1
3131,33,Male,Belgium,2.3,214.4,8.6,Excellent,25.8,67,Low,14.0,None,Other,0,0
3132,34,Male,Norway,1.1,101.7,7.9,Good,18.4,59,Low,1.2,None,Student,0,1
3133,18,Female,France,3.1,298.2,3.1,Poor,24.5,60,High,7.0,Mild,Office,0,1
3134,52,Male,Belgium,2.4,228.6,6.4,Good,21.6,58,Low,7.4,Mild,Office,0,1
3135,35,Female,Sweden,5.5,519.4,7.7,Good,26.4,72,Low,0.1,None,Other,0,0
3136,40,Male,Brazil,1.9,183.6,7.7,Good,19.7,71,Low,12.8,None,Student,0,0
3137,46,Male,Australia,0.0,0.0,5.9,Fair,23.7,53,Medium,1.6,Mild,Service,0,0
3138,22,Male,Canada,2.4,229.0,6.5,Good,27.0,81,Low,12.6,None,Other,1,1
3139,40,Male,Norway,2.8,265.7,7.3,Good,21.1,82,Low,0.3,None,Other,0,0
3140,31,Female,South Korea,1.6,148.2,4.9,Poor,22.5,68,High,14.7,Mild,Service,0,0
3141,45,Female,UK,1.4,130.0,5.0,Poor,27.5,79,High,7.9,Mild,Healthcare,0,0
3142,18,Male,Sweden,0.7,66.9,9.8,Excellent,31.1,65,Low,4.5,Mild,Healthcare,0,1
3143,33,Male,China,3.2,306.1,6.1,Good,26.9,55,Low,9.1,None,Service,0,0
3144,27,Male,India,3.4,321.8,4.2,Poor,24.3,70,High,4.3,Mild,Service,0,1
3145,40,Female,Australia,6.1,584.0,5.2,Fair,21.5,69,Medium,1.6,Mild,Student,0,0
3146,40,Female,Belgium,2.2,213.7,7.1,Good,23.1,73,Low,3.8,None,Service,0,1
3147,26,Male,Canada,2.7,259.3,7.5,Good,26.6,78,Low,12.6,None,Office,0,0
3148,26,Female,South Korea,2.1,203.0,5.9,Fair,21.9,82,Medium,3.7,Mild,Office,0,0
3149,33,Female,Norway,6.6,623.2,4.6,Poor,22.2,63,High,6.2,Mild,Healthcare,0,1
3150,24,Female,Belgium,3.4,325.5,7.5,Good,18.9,91,Low,8.2,None,Office,0,0
3151,45,Male,France,2.5,237.8,5.5,Fair,32.1,61,Medium,13.0,Moderate,Office,0,0
3152,30,Male,Italy,5.7,537.2,5.8,Fair,27.9,72,Medium,0.2,Mild,Student,0,0
3153,18,Male,Finland,2.4,229.0,7.4,Good,22.4,75,Low,13.2,None,Healthcare,0,0
3154,30,Female,Australia,7.8,742.2,5.2,Fair,29.4,71,Medium,11.1,Mild,Student,0,0
3155,22,Female,Germany,5.0,474.6,8.7,Excellent,25.6,51,Low,5.8,None,Other,0,1
3156,18,Female,USA,2.5,234.5,5.6,Fair,20.3,58,Medium,14.9,Mild,Office,0,1
3157,20,Male,Japan,3.3,310.5,6.1,Good,21.8,68,Low,0.9,None,Office,0,1
3158,36,Male,Switzerland,2.7,255.6,6.1,Good,20.0,73,Low,11.1,None,Student,1,1
3159,50,Male,Belgium,3.6,345.0,5.7,Fair,25.4,61,Medium,10.8,Mild,Other,0,1
3160,38,Female,Canada,1.6,154.9,8.1,Excellent,32.6,75,Low,14.2,Mild,Office,0,0
3161,27,Male,Sweden,5.6,536.3,5.7,Fair,24.0,76,Medium,12.4,Mild,Service,0,0
3162,40,Male,France,1.5,144.5,10.0,Excellent,21.5,77,Low,8.6,None,Student,0,0
3163,29,Female,Netherlands,2.9,273.8,6.7,Good,23.3,70,Low,3.5,None,Healthcare,0,0
3164,26,Male,UK,3.1,289.8,6.8,Good,30.8,67,Low,7.6,Mild,Other,0,0
3165,21,Male,Australia,2.0,192.6,4.8,Poor,27.0,75,High,1.5,Mild,Office,0,0
3166,18,Male,Belgium,0.6,53.8,6.2,Good,24.7,68,Low,7.3,None,Office,0,0
3167,30,Female,Mexico,2.9,271.8,7.4,Good,17.7,84,Low,2.9,None,Healthcare,0,0
3168,36,Female,Finland,2.9,272.8,7.2,Good,24.9,60,Low,14.0,None,Office,0,0
3169,33,Female,Sweden,2.0,190.6,5.4,Fair,21.1,86,Medium,6.1,Mild,Service,0,1
3170,30,Female,Canada,2.1,196.3,6.1,Good,29.6,76,Low,2.2,None,Service,0,0
3171,23,Female,Australia,2.7,259.5,3.0,Poor,20.1,71,High,0.4,Mild,Other,1,1
3172,42,Female,Sweden,4.4,415.0,5.4,Fair,20.7,73,Medium,5.0,Mild,Service,0,0
3173,19,Female,Netherlands,4.3,404.9,8.4,Excellent,26.3,72,Low,0.9,None,Other,0,0
3174,44,Female,USA,3.2,306.1,6.8,Good,24.3,71,Low,6.9,None,Other,1,1
3175,22,Male,Belgium,1.9,176.4,8.1,Excellent,20.8,83,Low,0.7,None,Student,0,1
3176,25,Male,Australia,2.0,189.0,4.7,Poor,19.6,85,High,12.5,Mild,Office,0,0
3177,18,Male,Japan,2.1,202.8,6.8,Good,31.3,74,Low,7.0,Mild,Office,0,0
3178,28,Female,Canada,1.8,173.3,6.6,Good,23.7,76,Low,11.9,None,Service,1,0
3179,46,Female,Belgium,0.8,80.5,6.1,Good,24.4,59,Low,5.5,None,Office,0,0
3180,41,Female,Italy,1.3,126.4,6.5,Good,24.4,64,Low,11.5,None,Other,0,1
3181,46,Male,Belgium,3.4,323.3,5.9,Fair,16.6,75,Medium,6.1,Mild,Other,0,0
3182,41,Male,Italy,1.5,146.0,5.4,Fair,27.4,69,Medium,10.1,Mild,Healthcare,0,0
3183,21,Male,France,2.6,242.6,6.8,Good,21.5,75,Low,10.7,None,Office,0,0
3184,31,Female,Norway,2.5,237.7,7.7,Good,21.5,58,Low,9.0,None,Office,0,1
3185,25,Male,Germany,3.2,302.9,5.6,Fair,24.2,74,Medium,0.8,Mild,Service,0,0
3186,50,Female,Netherlands,1.5,143.4,5.9,Fair,15.5,91,Medium,5.5,Mild,Service,0,0
3187,20,Male,South Korea,0.0,0.0,8.0,Good,17.0,61,Low,11.7,None,Student,0,0
3188,45,Male,Mexico,1.6,149.6,6.8,Good,27.4,73,Low,13.9,None,Service,0,0
3189,45,Female,UK,1.1,105.8,6.4,Good,26.6,66,Low,9.9,None,Other,1,0
3190,56,Male,Netherlands,0.0,0.0,7.1,Good,20.8,78,Low,14.5,Mild,Other,1,0
3191,30,Male,France,1.7,158.7,9.2,Excellent,28.5,72,Low,4.1,None,Office,0,0
3192,43,Female,Norway,1.5,139.9,8.2,Excellent,29.4,66,Low,2.0,None,Healthcare,1,0
3193,62,Male,Netherlands,2.5,233.6,8.7,Excellent,18.6,63,Low,4.9,Mild,Office,0,1
3194,27,Other,Japan,3.3,312.2,7.4,Good,25.4,76,Low,10.2,None,Healthcare,1,1
3195,18,Female,Italy,5.3,504.6,5.3,Fair,21.9,68,Medium,5.9,Mild,Service,0,0
3196,18,Male,Norway,2.6,250.8,6.1,Good,15.0,95,Low,9.9,None,Student,0,0
3197,43,Female,France,2.5,241.8,5.7,Fair,18.7,73,Medium,10.5,Mild,Student,0,0
3198,18,Male,Mexico,5.5,522.2,6.9,Good,25.4,77,Low,9.2,None,Student,1,0
3199,30,Female,South Korea,0.6,56.7,6.5,Good,20.3,52,Low,11.7,None,Service,0,1
3200,40,Female,Spain,0.7,66.1,5.9,Fair,28.4,72,Medium,3.5,Mild,Healthcare,0,0
3201,37,Female,USA,3.4,323.3,6.4,Good,24.7,55,Low,1.6,None,Office,0,0
3202,40,Male,India,4.5,424.9,4.6,Poor,32.5,69,High,0.7,Moderate,Student,0,0
3203,37,Male,India,4.6,441.6,7.5,Good,17.6,81,Low,14.6,None,Office,0,0
3204,50,Male,USA,0.0,0.0,5.8,Fair,30.8,86,Medium,10.8,Moderate,Student,0,0
3205,23,Female,India,0.0,0.0,8.1,Excellent,28.3,81,Low,3.6,None,Healthcare,0,0
3206,26,Female,Brazil,2.3,220.8,7.2,Good,23.4,72,Low,7.2,None,Service,1,0
3207,25,Male,Japan,3.6,338.5,7.2,Good,29.8,84,Low,0.9,None,Healthcare,1,1
3208,44,Female,Spain,1.9,183.2,5.3,Fair,23.5,88,Medium,10.0,Mild,Healthcare,0,0
3209,45,Male,China,0.7,69.8,7.0,Good,30.3,60,Low,14.5,Mild,Other,0,0
3210,40,Male,Belgium,0.6,56.1,6.3,Good,20.7,81,Low,10.6,None,Student,0,1
3211,49,Male,China,4.1,385.2,4.3,Poor,24.7,64,High,9.3,Mild,Healthcare,1,0
3212,20,Male,UK,4.1,389.5,8.1,Excellent,23.6,70,Low,13.8,None,Other,1,0
3213,55,Male,Canada,3.4,327.4,6.4,Good,18.8,75,Low,7.7,Mild,Office,0,0
3214,53,Female,South Korea,2.4,230.4,6.1,Good,20.5,83,Low,11.2,Mild,Healthcare,0,1
3215,43,Male,Brazil,1.2,113.9,8.5,Excellent,24.9,68,Low,14.0,None,Service,0,0
3216,56,Male,Switzerland,0.0,0.0,8.2,Excellent,23.3,59,Low,9.7,Mild,Other,0,0
3217,18,Female,Australia,0.2,23.4,10.0,Excellent,25.3,52,Low,7.9,None,Service,1,0
3218,28,Male,Canada,0.0,0.0,5.9,Fair,20.6,66,Medium,8.7,Mild,Other,0,0
3219,26,Female,Canada,2.0,194.7,6.0,Good,19.9,85,Low,11.5,None,Student,0,0
3220,43,Male,Australia,3.2,303.9,8.8,Excellent,21.8,66,Low,0.8,None,Office,0,1
3221,22,Female,USA,2.6,246.9,5.6,Fair,25.0,82,Medium,4.9,Mild,Service,0,1
3222,44,Female,Norway,4.6,439.3,5.4,Fair,23.2,64,Medium,0.8,Mild,Healthcare,0,0
3223,51,Male,Netherlands,2.8,263.0,6.5,Good,22.3,72,Low,11.8,Mild,Office,0,0
3224,43,Female,Netherlands,0.0,3.2,9.0,Excellent,26.7,72,Low,13.7,None,Office,0,1
3225,38,Female,Japan,2.3,218.0,6.0,Good,25.8,78,Low,6.0,None,Healthcare,1,0
3226,23,Female,Switzerland,2.3,222.4,9.4,Excellent,25.8,60,Low,3.8,None,Service,0,0
3227,24,Male,China,3.2,308.7,6.5,Good,23.7,68,Low,0.6,None,Service,0,0
3228,49,Male,Netherlands,3.8,358.3,8.0,Excellent,21.1,83,Low,0.1,None,Student,0,1
3229,44,Female,USA,3.2,304.8,6.1,Good,19.0,57,Low,8.2,None,Other,0,1
3230,34,Female,Japan,1.8,168.1,5.6,Fair,22.7,77,Medium,5.0,Mild,Office,1,0
3231,29,Male,Norway,4.6,434.2,7.0,Good,24.4,59,Low,14.5,None,Office,1,0
3232,18,Male,France,3.8,356.7,4.7,Poor,27.5,70,High,12.3,Mild,Student,1,0
3233,22,Male,Sweden,0.0,0.0,5.0,Fair,22.9,70,Medium,6.8,Mild,Other,0,1
3234,57,Male,Australia,3.6,346.3,7.3,Good,19.3,65,Low,3.0,Mild,Other,0,0
3235,19,Male,UK,1.2,111.3,6.1,Good,18.6,78,Low,5.7,None,Other,0,1
3236,37,Male,South Korea,0.0,0.0,5.3,Fair,24.8,71,Medium,1.1,Mild,Healthcare,1,0
3237,47,Male,Sweden,2.9,273.4,5.8,Fair,27.2,77,Medium,9.3,Mild,Student,0,0
3238,19,Male,Sweden,6.0,568.6,6.8,Good,18.7,66,Low,13.0,None,Healthcare,1,0
3239,37,Female,UK,2.4,229.9,5.5,Fair,28.6,84,Medium,6.5,Mild,Other,0,0
3240,46,Male,South Korea,2.1,196.3,3.3,Poor,19.4,78,High,7.2,Mild,Healthcare,0,0
3241,35,Male,India,2.6,251.3,6.4,Good,21.2,69,Low,14.1,None,Office,0,0
3242,69,Male,USA,6.1,578.1,6.5,Good,28.1,61,Low,4.6,Mild,Healthcare,0,0
3243,18,Female,India,2.1,199.3,7.7,Good,22.1,84,Low,1.5,None,Healthcare,1,1
3244,47,Female,Spain,4.0,377.6,7.6,Good,23.4,62,Low,1.0,None,Service,0,0
3245,32,Female,Australia,1.9,180.8,6.5,Good,25.6,75,Low,11.5,None,Student,0,0
3246,44,Male,Netherlands,1.6,154.8,9.0,Excellent,28.8,71,Low,3.3,None,Other,0,1
3247,40,Female,Germany,4.6,438.7,6.2,Good,23.6,71,Low,15.0,None,Student,0,0
3248,26,Male,Switzerland,0.8,80.4,6.6,Good,24.4,59,Low,14.4,None,Office,0,1
3249,37,Male,Italy,3.6,343.9,6.1,Good,23.3,62,Low,12.8,None,Other,0,0
3250,18,Female,Germany,2.0,188.8,6.9,Good,18.4,85,Low,7.6,None,Office,0,1
3251,42,Female,Italy,1.4,129.6,7.4,Good,29.1,73,Low,7.6,None,Healthcare,0,0
3252,38,Female,Norway,1.9,177.9,8.4,Excellent,15.0,80,Low,14.0,None,Service,1,0
3253,42,Female,Canada,0.0,0.0,6.4,Good,25.2,50,Low,4.5,None,Other,0,1
3254,47,Female,China,0.9,87.9,5.9,Fair,28.6,65,Medium,7.3,Mild,Office,0,0
3255,39,Male,Sweden,2.7,256.6,6.8,Good,29.2,79,Low,6.0,None,Healthcare,0,0
3256,36,Male,China,2.1,202.2,6.2,Good,20.7,64,Low,5.4,None,Other,0,0
3257,24,Male,Germany,1.1,102.7,5.5,Fair,25.6,52,Medium,13.4,Mild,Other,0,0
3258,26,Female,Belgium,4.7,448.6,7.7,Good,20.5,79,Low,10.9,None,Student,0,0
3259,49,Male,Finland,1.0,95.9,8.3,Excellent,21.2,50,Low,14.2,None,Other,1,0
3260,52,Female,Switzerland,4.7,442.3,4.5,Poor,28.6,76,High,1.1,Moderate,Office,0,0
3261,32,Male,India,2.7,258.4,6.4,Good,24.3,73,Low,12.4,None,Service,0,0
3262,35,Male,Finland,2.1,200.0,7.4,Good,25.0,67,Low,4.9,None,Other,0,0
3263,24,Male,Sweden,2.6,250.8,8.9,Excellent,27.4,71,Low,8.9,None,Office,0,1
3264,49,Male,Norway,2.9,279.3,6.5,Good,28.3,71,Low,10.6,None,Healthcare,0,0
3265,42,Female,Germany,1.1,101.3,7.9,Good,23.3,78,Low,2.1,None,Healthcare,0,0
3266,58,Male,Norway,1.1,105.2,6.4,Good,17.3,75,Low,11.2,Mild,Other,0,1
3267,24,Male,Belgium,2.2,208.9,7.2,Good,22.8,81,Low,5.1,None,Service,0,0
3268,30,Male,Netherlands,3.2,299.8,7.6,Good,26.5,91,Low,4.2,None,Other,0,0
3269,37,Male,China,3.5,332.1,6.9,Good,17.7,63,Low,7.1,None,Student,0,0
3270,42,Male,Japan,4.4,415.0,6.4,Good,22.0,70,Low,11.7,None,Other,0,0
3271,32,Male,USA,0.7,62.4,8.1,Excellent,22.4,61,Low,6.1,None,Student,0,0
3272,24,Female,Australia,3.0,288.3,8.2,Excellent,24.9,83,Low,8.2,None,Student,0,0
3273,45,Male,UK,2.5,235.7,6.8,Good,21.4,69,Low,3.6,None,Student,0,0
3274,43,Male,Canada,1.7,161.6,8.0,Good,24.2,69,Low,4.8,None,Student,0,0
3275,24,Female,UK,5.5,523.0,5.5,Fair,19.4,72,Medium,14.1,Mild,Student,1,1
3276,51,Male,Switzerland,3.1,299.1,6.0,Good,25.9,63,Low,13.8,Mild,Healthcare,0,0
3277,49,Male,Netherlands,4.6,441.1,8.2,Excellent,25.7,50,Low,13.3,None,Other,0,0
3278,36,Female,USA,0.0,0.0,3.5,Poor,37.5,72,High,5.8,Moderate,Other,1,0
3279,35,Male,Japan,4.1,386.7,6.1,Good,20.0,65,Low,0.4,None,Student,0,0
3280,41,Female,Australia,3.3,313.9,6.8,Good,22.3,72,Low,13.8,None,Student,0,0
3281,24,Female,Spain,3.6,337.5,5.1,Fair,29.2,95,Medium,6.0,Mild,Student,0,0
3282,35,Female,Switzerland,2.1,195.7,8.0,Good,17.6,87,Low,12.1,None,Other,0,0
3283,18,Female,Switzerland,5.7,538.3,6.1,Good,35.0,70,Low,7.7,Mild,Student,0,0
3284,45,Male,Italy,2.2,209.4,7.5,Good,22.0,74,Low,13.4,None,Student,0,1
3285,18,Male,Finland,2.5,234.8,8.4,Excellent,17.9,77,Low,1.8,None,Service,0,0
3286,53,Male,France,1.0,98.1,8.3,Excellent,25.7,77,Low,12.4,Mild,Other,0,0
3287,31,Male,Germany,2.4,231.9,6.2,Good,24.2,64,Low,13.0,None,Service,0,0
3288,32,Female,Finland,2.2,212.6,5.3,Fair,20.0,66,Medium,4.4,Mild,Office,1,0
3289,27,Female,Spain,4.1,390.3,5.9,Fair,21.4,79,Medium,9.4,Mild,Service,1,1
3290,31,Male,Finland,3.5,327.9,6.7,Good,26.7,66,Low,0.8,None,Service,0,0
3291,52,Female,India,4.3,404.7,4.2,Poor,18.7,81,High,4.7,Moderate,Office,0,0
3292,18,Male,Switzerland,2.3,222.1,8.6,Excellent,26.6,65,Low,5.6,None,Service,0,1
3293,50,Female,UK,2.0,189.1,6.8,Good,21.3,83,Low,1.4,None,Service,0,0
3294,39,Female,China,3.8,363.5,6.1,Good,34.5,66,Low,6.5,Mild,Student,0,0
3295,20,Female,India,2.7,260.0,4.3,Poor,30.1,75,High,9.7,Moderate,Office,0,0
3296,22,Male,Germany,0.0,0.0,7.0,Good,18.9,78,Low,9.7,None,Student,0,1
3297,55,Female,Canada,1.8,173.0,6.8,Good,22.4,64,Low,7.0,Mild,Healthcare,1,0
3298,23,Male,Germany,0.0,0.0,6.0,Fair,27.6,88,Medium,1.9,Mild,Other,0,0
3299,21,Female,Italy,1.3,121.3,7.2,Good,15.0,86,Low,1.2,None,Service,0,0
3300,48,Male,USA,4.0,383.7,6.2,Good,20.3,71,Low,12.3,None,Healthcare,0,0
3301,39,Male,Mexico,2.0,189.6,4.8,Poor,22.1,77,High,8.4,Mild,Office,0,1
3302,23,Female,Netherlands,2.1,199.1,7.5,Good,17.9,75,Low,11.2,None,Healthcare,0,0
3303,37,Female,Australia,2.2,209.8,9.6,Excellent,24.1,69,Low,0.5,None,Office,0,0
3304,22,Male,Mexico,2.5,239.1,8.8,Excellent,22.3,54,Low,6.6,None,Office,0,0
3305,48,Female,Netherlands,2.0,189.8,7.3,Good,20.6,67,Low,13.6,None,Office,0,0
3306,47,Female,Australia,5.2,496.4,6.5,Good,29.6,58,Low,10.6,None,Service,0,0
3307,41,Female,Canada,0.0,0.0,5.2,Fair,27.4,68,Medium,11.5,Mild,Office,0,0
3308,39,Female,India,2.8,270.1,6.9,Good,27.3,93,Low,7.1,None,Service,1,1
3309,56,Male,China,3.3,316.8,6.1,Good,24.1,65,Low,11.2,Mild,Healthcare,0,0
3310,34,Female,Norway,1.2,110.0,3.8,Poor,25.3,56,High,10.1,Mild,Healthcare,0,0
3311,20,Male,UK,3.5,329.5,6.0,Good,30.9,80,Low,2.0,Mild,Service,0,0
3312,40,Male,Italy,1.5,142.3,6.1,Good,19.3,72,Low,1.4,None,Healthcare,0,0
3313,60,Female,India,3.2,305.9,4.7,Poor,19.9,89,High,2.6,Moderate,Student,0,1
3314,22,Female,France,0.6,57.7,6.8,Good,28.4,52,Low,1.2,None,Healthcare,0,0
3315,30,Female,Spain,2.6,250.0,4.8,Poor,26.2,66,High,8.7,Mild,Student,0,0
3316,39,Female,China,5.8,555.2,6.6,Good,21.7,61,Low,14.5,None,Healthcare,1,1
3317,34,Female,Finland,1.1,108.5,7.5,Good,25.8,77,Low,11.6,None,Healthcare,0,0
3318,23,Male,France,1.9,178.3,4.2,Poor,19.5,79,High,11.2,Mild,Office,0,1
3319,48,Other,Finland,5.0,472.6,5.8,Fair,25.6,66,Medium,12.5,Mild,Student,0,1
3320,62,Male,Brazil,4.4,413.7,5.8,Fair,21.3,76,Medium,13.5,Moderate,Service,0,0
3321,37,Female,Brazil,5.1,486.7,5.9,Fair,30.1,91,Medium,4.6,Moderate,Office,1,1
3322,24,Female,Canada,1.9,184.9,3.8,Poor,25.3,67,High,1.4,Mild,Student,1,0
3323,18,Female,Germany,3.0,286.9,7.0,Good,24.1,85,Low,11.3,None,Office,0,0
3324,38,Male,USA,3.2,303.2,8.3,Excellent,22.9,51,Low,6.4,None,Other,0,0
3325,48,Female,South Korea,1.3,126.8,8.6,Excellent,25.2,70,Low,14.2,None,Office,0,1
3326,40,Female,China,0.8,78.2,8.0,Good,27.4,86,Low,14.0,None,Service,0,0
3327,34,Female,Mexico,0.6,60.7,4.5,Poor,22.9,54,High,14.6,Mild,Other,0,1
3328,27,Male,Spain,1.7,166.0,6.0,Fair,31.9,82,Medium,11.6,Moderate,Service,0,0
3329,21,Female,Belgium,0.6,55.4,7.5,Good,23.4,58,Low,9.2,None,Service,0,0
3330,45,Female,Japan,1.5,141.0,7.3,Good,26.2,65,Low,11.5,None,Student,0,0
3331,45,Female,Germany,1.0,94.2,8.2,Excellent,25.4,65,Low,4.1,None,Healthcare,0,0
3332,18,Female,UK,3.3,310.5,6.2,Good,15.0,67,Low,0.0,None,Office,0,1
3333,54,Male,Japan,3.1,293.8,5.1,Fair,28.1,79,Medium,6.9,Moderate,Service,0,1
3334,41,Male,India,1.6,156.1,7.4,Good,33.5,61,Low,9.6,Mild,Other,0,0
3335,51,Male,Australia,2.0,188.8,6.1,Good,25.6,103,Low,12.6,Mild,Student,0,0
3336,18,Male,Mexico,3.4,322.4,8.2,Excellent,25.6,70,Low,0.8,None,Office,0,1
3337,18,Female,Mexico,2.0,186.9,7.5,Good,25.1,81,Low,0.7,None,Office,0,0
3338,33,Male,Italy,1.6,152.7,6.3,Good,20.0,80,Low,14.1,None,Student,0,1
3339,41,Male,Italy,0.5,48.1,7.1,Good,24.2,67,Low,3.0,None,Office,0,0
3340,56,Male,Australia,4.5,423.5,7.7,Good,24.9,73,Low,10.3,Mild,Healthcare,0,0
3341,43,Female,Japan,0.1,6.5,7.6,Good,27.2,66,Low,2.2,None,Healthcare,1,1
3342,32,Male,Belgium,2.0,192.5,6.9,Good,25.7,74,Low,13.5,None,Office,0,0
3343,22,Male,Canada,1.2,111.3,7.1,Good,26.2,58,Low,11.2,None,Office,0,0
3344,49,Male,Italy,2.7,258.2,6.2,Good,22.4,77,Low,0.8,None,Student,0,0
3345,23,Male,Germany,1.8,173.8,7.2,Good,28.6,76,Low,4.1,None,Other,0,1
3346,54,Other,South Korea,2.6,249.4,6.6,Good,29.8,77,Low,14.5,Mild,Service,0,1
3347,31,Male,Germany,1.2,117.7,5.6,Fair,25.2,72,Medium,12.7,Mild,Service,0,0
3348,54,Female,Germany,1.8,172.9,7.2,Good,25.4,58,Low,0.7,Mild,Other,0,0
3349,43,Other,South Korea,0.5,45.5,7.6,Good,21.4,62,Low,4.6,None,Office,0,0
3350,33,Female,Brazil,1.0,93.8,8.1,Excellent,26.4,75,Low,4.9,None,Service,0,0
3351,28,Other,South Korea,1.8,171.5,4.8,Poor,24.0,67,High,7.2,Mild,Healthcare,0,1
3352,30,Female,Belgium,2.7,260.9,6.9,Good,22.2,61,Low,4.1,None,Student,0,0
3353,40,Male,Sweden,2.3,216.6,6.2,Good,22.7,82,Low,12.4,None,Other,0,1
3354,35,Female,France,4.5,431.8,7.0,Good,24.6,67,Low,7.1,None,Service,0,0
3355,27,Male,South Korea,0.2,21.9,5.5,Fair,24.4,65,Medium,0.2,Mild,Other,0,0
3356,33,Male,Mexico,2.1,200.2,8.2,Excellent,29.6,69,Low,5.8,None,Office,0,0
3357,35,Female,Sweden,0.0,0.0,5.7,Fair,21.7,74,Medium,8.9,Mild,Service,1,0
3358,18,Female,South Korea,2.3,213.8,6.1,Good,26.0,72,Low,9.9,None,Other,0,0
3359,40,Female,China,1.5,141.9,10.0,Excellent,20.0,83,Low,1.4,None,Service,0,1
3360,23,Female,Canada,1.7,164.0,6.9,Good,19.8,74,Low,7.5,None,Service,0,0
3361,21,Male,Spain,1.5,140.3,8.1,Excellent,16.5,75,Low,6.5,None,Service,0,0
3362,18,Female,Canada,3.2,299.5,6.8,Good,28.3,63,Low,2.6,None,Other,0,0
3363,18,Male,Belgium,2.9,277.4,8.1,Excellent,27.8,57,Low,2.7,None,Student,0,0
3364,18,Male,Sweden,0.7,65.7,7.9,Good,15.0,73,Low,14.6,None,Student,1,1
3365,26,Female,Sweden,2.2,205.4,5.7,Fair,24.7,88,Medium,6.2,Mild,Other,0,0
3366,58,Male,Norway,0.2,20.8,4.8,Poor,22.3,78,High,9.6,Moderate,Healthcare,0,0
3367,28,Female,India,0.0,0.0,5.5,Fair,25.2,81,Medium,3.1,Mild,Office,0,1
3368,37,Female,Finland,3.1,294.6,5.9,Fair,24.4,72,Medium,14.3,Mild,Other,0,0
3369,39,Male,France,0.8,75.4,7.6,Good,23.1,79,Low,14.2,None,Healthcare,1,0
3370,36,Female,Belgium,1.6,150.0,8.0,Good,19.8,79,Low,11.9,None,Other,0,0
3371,34,Female,Brazil,2.8,268.7,6.5,Good,21.4,68,Low,6.5,None,Office,1,1
3372,20,Male,Brazil,2.5,235.0,6.8,Good,21.4,67,Low,6.2,None,Other,1,1
3373,52,Male,Australia,4.6,437.5,3.5,Poor,22.5,67,High,13.3,Moderate,Service,0,0
3374,56,Female,Finland,0.6,58.4,6.6,Good,27.2,64,Low,13.0,Mild,Other,1,1
3375,18,Male,Switzerland,4.3,411.3,6.2,Good,30.9,54,Low,13.9,Mild,Healthcare,1,0
3376,22,Female,South Korea,3.4,319.9,7.0,Good,20.9,63,Low,4.1,None,Other,0,1
3377,31,Male,USA,3.6,345.8,6.1,Good,26.7,64,Low,9.9,None,Student,0,1
3378,23,Female,Spain,1.9,181.7,6.1,Good,16.1,69,Low,10.1,None,Other,0,1
3379,41,Female,South Korea,1.1,101.9,9.1,Excellent,17.2,86,Low,5.4,None,Healthcare,0,1
3380,26,Male,Belgium,2.6,251.1,4.9,Poor,24.7,74,High,1.4,Mild,Other,0,1
3381,60,Female,UK,1.1,101.2,8.5,Excellent,27.2,81,Low,1.6,Mild,Student,0,0
3382,49,Female,Australia,1.0,96.6,7.6,Good,26.1,51,Low,12.6,None,Other,0,1
3383,37,Female,Japan,2.7,259.0,6.4,Good,22.0,82,Low,5.1,None,Office,0,1
3384,47,Female,Switzerland,4.1,387.4,9.0,Excellent,29.3,78,Low,13.4,None,Student,0,1
3385,48,Female,Germany,0.1,8.9,6.9,Good,21.6,77,Low,4.3,None,Office,0,1
3386,28,Female,Canada,4.5,423.7,5.3,Fair,22.5,70,Medium,3.0,Mild,Student,0,0
3387,25,Female,Canada,0.6,60.6,7.2,Good,25.2,91,Low,5.9,None,Healthcare,0,0
3388,35,Female,Canada,2.0,193.8,7.7,Good,25.9,76,Low,10.9,None,Other,0,0
3389,45,Male,UK,2.1,196.0,7.4,Good,19.5,59,Low,9.3,None,Other,0,0
3390,36,Other,Spain,1.8,168.5,6.1,Good,19.7,67,Low,2.3,None,Office,0,0
3391,18,Male,Sweden,2.1,203.7,7.5,Good,27.3,81,Low,14.7,None,Student,0,0
3392,25,Male,Italy,2.7,256.6,4.5,Poor,22.4,74,High,14.7,Mild,Healthcare,0,0
3393,34,Male,Switzerland,4.4,418.8,8.0,Good,26.9,74,Low,4.1,None,Student,0,0
3394,34,Male,Finland,2.2,208.7,7.6,Good,19.1,81,Low,8.0,None,Service,1,0
3395,58,Male,Sweden,1.1,107.5,4.2,Poor,22.5,72,High,3.4,Moderate,Office,1,0
3396,18,Male,Germany,0.9,85.2,6.0,Fair,28.5,85,Medium,14.9,Mild,Student,0,0
3397,41,Male,Sweden,3.0,283.0,8.0,Excellent,28.6,89,Low,5.2,None,Office,0,0
3398,52,Female,Brazil,3.7,354.0,6.2,Good,21.9,67,Low,13.5,Mild,Service,0,0
3399,62,Male,Norway,1.5,145.0,6.7,Good,15.6,84,Low,6.4,Mild,Student,0,0
3400,30,Male,Italy,3.9,368.1,8.1,Excellent,26.7,59,Low,10.7,None,Student,0,0
3401,40,Male,Spain,5.8,546.5,5.4,Fair,24.9,72,Medium,13.6,Mild,Office,0,0
3402,41,Male,Canada,4.5,425.5,3.8,Poor,25.3,71,High,9.3,Mild,Service,1,0
3403,37,Male,Finland,1.4,134.3,8.4,Excellent,19.3,77,Low,3.5,None,Healthcare,0,1
3404,33,Female,Italy,4.0,384.5,5.9,Fair,23.6,68,Medium,12.0,Mild,Other,0,0
3405,40,Female,France,3.9,369.3,6.4,Good,24.4,71,Low,13.6,None,Office,1,1
3406,18,Female,France,2.6,246.5,6.4,Good,30.2,83,Low,1.3,Mild,Office,0,0
3407,43,Female,Japan,3.8,365.4,5.8,Fair,28.8,89,Medium,5.6,Mild,Other,0,0
3408,36,Male,Sweden,3.6,345.9,5.4,Fair,28.3,83,Medium,14.9,Mild,Student,1,0
3409,32,Male,Belgium,4.4,415.2,6.1,Good,24.9,86,Low,9.8,None,Office,0,1
3410,59,Male,USA,3.4,320.0,5.3,Fair,20.5,62,Medium,2.6,Moderate,Healthcare,0,0
3411,26,Female,Mexico,3.6,345.1,8.1,Excellent,23.1,55,Low,12.6,None,Service,0,0
3412,30,Male,Canada,1.0,92.1,8.3,Excellent,19.0,82,Low,7.1,None,Student,0,1
3413,58,Female,Finland,2.5,237.2,7.3,Good,23.6,62,Low,12.9,Mild,Office,0,0
3414,25,Male,Mexico,1.4,130.6,7.4,Good,20.6,65,Low,11.5,None,Healthcare,0,0
3415,28,Male,South Korea,4.3,407.9,4.3,Poor,24.0,76,High,10.8,Mild,Other,0,0
3416,33,Other,Germany,0.5,44.0,8.3,Excellent,23.7,74,Low,4.1,None,Student,0,0
3417,45,Female,China,0.0,0.0,6.5,Good,20.2,75,Low,8.4,None,Healthcare,0,1
3418,37,Female,China,0.4,35.7,8.6,Excellent,26.3,65,Low,12.8,None,Office,0,0
3419,19,Female,France,2.2,205.0,8.7,Excellent,18.9,68,Low,12.8,None,Other,0,0
3420,28,Female,UK,0.0,0.0,6.7,Good,34.5,76,Low,2.6,Mild,Office,0,0
3421,27,Female,Japan,0.0,0.0,4.3,Poor,29.0,61,High,6.0,Mild,Service,0,0
3422,34,Female,Netherlands,3.5,332.3,6.8,Good,19.2,67,Low,6.9,None,Office,0,0
3423,40,Male,Netherlands,0.4,39.0,5.5,Fair,25.1,85,Medium,7.2,Mild,Other,0,0
3424,40,Female,Sweden,4.0,380.7,5.7,Fair,23.4,80,Medium,6.9,Mild,Service,0,0
3425,18,Female,Netherlands,0.5,49.1,6.7,Good,23.4,66,Low,1.4,None,Service,1,0
3426,47,Male,Finland,0.0,0.0,8.1,Excellent,22.1,53,Low,13.6,None,Student,0,0
3427,38,Female,Finland,1.0,90.9,7.4,Good,27.7,65,Low,11.7,None,Office,0,0
3428,51,Female,India,0.6,53.9,8.8,Excellent,20.9,76,Low,6.5,Mild,Student,0,1
3429,40,Female,Canada,0.6,53.2,6.0,Fair,28.5,71,Medium,14.3,Mild,Other,0,0
3430,48,Male,Finland,2.3,221.9,8.0,Excellent,30.3,72,Low,8.1,Mild,Student,0,0
3431,40,Male,Brazil,2.8,261.8,7.5,Good,20.5,99,Low,0.9,None,Student,0,0
3432,51,Female,Norway,4.6,434.5,7.1,Good,27.4,81,Low,6.6,Mild,Other,0,0
3433,41,Female,Finland,2.0,185.8,8.0,Excellent,26.9,83,Low,3.1,None,Service,0,0
3434,33,Male,China,2.9,278.3,7.6,Good,16.3,76,Low,15.0,None,Office,1,0
3435,62,Female,Australia,0.5,48.1,5.0,Poor,30.8,82,High,1.9,Severe,Student,0,0
3436,45,Male,Australia,1.1,108.1,6.1,Good,22.1,78,Low,4.6,None,Healthcare,0,0
3437,41,Female,Belgium,4.5,422.8,7.5,Good,24.5,92,Low,10.2,None,Service,1,1
3438,19,Male,USA,4.6,437.7,6.9,Good,29.7,58,Low,3.4,None,Student,1,1
3439,19,Male,South Korea,4.9,463.7,7.5,Good,27.1,65,Low,1.7,None,Healthcare,0,0
3440,38,Female,Sweden,2.3,219.6,6.9,Good,23.2,58,Low,5.8,None,Other,0,1
3441,36,Male,Switzerland,0.5,48.8,6.3,Good,27.2,66,Low,13.4,None,Student,0,0
3442,27,Male,Spain,1.3,126.2,5.8,Fair,28.6,71,Medium,8.7,Mild,Office,0,0
3443,36,Male,USA,2.0,190.8,4.7,Poor,24.2,85,High,11.2,Mild,Service,0,1
3444,54,Male,USA,1.7,157.0,7.4,Good,21.2,92,Low,4.3,Mild,Student,0,0
3445,43,Male,Spain,2.7,253.6,4.9,Poor,25.4,72,High,13.4,Mild,Office,0,0
3446,21,Other,India,3.6,344.6,6.5,Good,20.7,73,Low,8.4,None,Student,0,0
3447,33,Female,Brazil,1.0,90.9,6.7,Good,28.2,73,Low,5.3,None,Healthcare,0,0
3448,25,Female,Finland,5.4,510.7,7.5,Good,20.5,71,Low,9.8,None,Service,0,1
3449,30,Female,Brazil,2.6,248.1,9.4,Excellent,21.1,64,Low,6.1,None,Office,0,1
3450,30,Male,South Korea,4.5,431.0,5.9,Fair,28.0,71,Medium,4.2,Mild,Office,1,0
3451,29,Male,Norway,3.1,297.8,7.2,Good,24.1,65,Low,11.5,None,Other,0,0
3452,19,Male,Switzerland,5.7,544.8,6.1,Good,25.8,70,Low,1.6,None,Service,1,0
3453,33,Female,Brazil,0.8,71.8,5.8,Fair,26.7,71,Medium,10.0,Mild,Student,0,0
3454,28,Female,China,1.7,164.3,8.2,Excellent,21.2,71,Low,7.9,None,Healthcare,1,0
3455,18,Male,South Korea,1.7,164.8,7.2,Good,22.1,71,Low,7.7,None,Student,0,0
3456,59,Male,Norway,2.8,263.6,7.3,Good,29.9,66,Low,5.1,Mild,Healthcare,0,1
3457,48,Female,South Korea,2.7,255.4,7.7,Good,26.6,78,Low,4.1,None,Other,0,0
3458,30,Female,Japan,3.1,292.9,7.6,Good,22.6,81,Low,10.4,None,Office,0,1
3459,35,Female,Australia,2.7,257.4,6.4,Good,25.1,60,Low,12.2,None,Healthcare,0,0
3460,20,Male,India,3.3,316.9,7.8,Good,23.3,71,Low,5.8,None,Office,0,1
3461,55,Female,South Korea,1.8,168.5,6.5,Good,27.5,74,Low,2.2,Mild,Office,0,1
3462,57,Male,Brazil,3.2,304.1,5.1,Fair,24.7,74,Medium,0.3,Moderate,Student,1,0
3463,36,Female,South Korea,6.7,638.6,6.6,Good,23.6,76,Low,8.7,None,Healthcare,0,0
3464,47,Female,Belgium,2.5,238.1,8.3,Excellent,19.6,54,Low,3.8,None,Healthcare,0,0
3465,37,Female,Norway,0.3,31.7,6.1,Good,26.6,87,Low,6.2,None,Office,0,1
3466,18,Male,South Korea,1.6,148.1,4.9,Poor,22.6,70,High,8.4,Mild,Healthcare,0,0
3467,30,Male,USA,1.8,172.0,6.9,Good,27.9,70,Low,10.9,None,Service,0,0
3468,36,Male,Germany,1.2,111.3,5.6,Fair,17.0,78,Medium,6.4,Mild,Other,0,1
3469,29,Male,Spain,2.7,254.9,5.9,Fair,21.9,56,Medium,10.5,Mild,Service,0,0
3470,32,Female,Finland,3.7,351.4,6.6,Good,26.5,69,Low,13.7,None,Student,0,1
3471,33,Female,UK,0.5,52.2,3.4,Poor,24.0,66,High,4.2,Mild,Student,0,0
3472,34,Male,Netherlands,0.0,0.0,6.5,Good,21.5,82,Low,10.5,None,Service,0,0
3473,35,Male,Finland,6.2,590.0,5.6,Fair,28.6,74,Medium,4.6,Mild,Other,1,0
3474,22,Male,Australia,1.1,103.9,9.1,Excellent,27.8,62,Low,1.0,None,Healthcare,0,0
3475,26,Female,India,4.6,438.9,6.1,Good,20.9,72,Low,1.2,None,Other,0,0
3476,19,Female,South Korea,3.6,346.0,9.0,Excellent,23.4,71,Low,10.5,None,Other,0,0
3477,46,Male,Spain,1.6,151.5,8.2,Excellent,20.1,61,Low,2.2,None,Healthcare,0,0
3478,18,Male,Netherlands,1.3,125.2,7.3,Good,23.0,69,Low,14.9,None,Healthcare,0,0
3479,48,Female,Switzerland,1.6,151.4,7.2,Good,23.2,82,Low,8.2,None,Healthcare,0,0
3480,51,Female,South Korea,1.8,174.5,7.1,Good,22.2,76,Low,4.7,Mild,Healthcare,0,0
3481,31,Male,Finland,3.4,325.7,6.6,Good,26.8,86,Low,9.1,None,Office,0,0
3482,18,Female,Sweden,0.4,39.0,5.2,Fair,26.9,74,Medium,1.4,Mild,Service,0,1
3483,30,Female,Spain,4.4,420.2,6.8,Good,28.7,75,Low,0.8,None,Office,0,0
3484,34,Female,Australia,1.5,146.4,6.9,Good,25.5,51,Low,8.1,None,Service,0,0
3485,22,Female,China,0.3,29.0,7.2,Good,17.5,77,Low,2.7,None,Service,0,1
3486,28,Male,South Korea,2.8,263.9,8.7,Excellent,24.0,57,Low,1.1,None,Service,0,1
3487,53,Female,South Korea,6.1,580.0,5.8,Fair,27.1,88,Medium,9.4,Moderate,Other,0,0
3488,42,Male,Spain,1.2,117.8,5.5,Fair,24.5,70,Medium,6.7,Mild,Service,0,1
3489,23,Male,Italy,2.7,255.9,5.9,Fair,27.4,74,Medium,7.5,Mild,Healthcare,0,0
3490,18,Male,Norway,2.7,257.7,7.6,Good,28.4,68,Low,11.5,None,Other,0,1
3491,31,Male,Japan,5.3,506.2,6.5,Good,18.3,60,Low,10.3,None,Other,0,0
3492,32,Male,Norway,1.1,103.7,6.9,Good,26.7,75,Low,12.1,None,Office,0,0
3493,40,Female,China,3.9,370.9,4.8,Poor,25.6,55,High,1.3,Mild,Student,0,1
3494,28,Female,France,0.4,34.7,8.4,Excellent,30.6,66,Low,1.2,Mild,Other,0,0
3495,41,Female,Mexico,2.8,269.2,5.8,Fair,21.6,65,Medium,8.7,Mild,Healthcare,0,1
3496,58,Male,Mexico,3.6,342.5,6.9,Good,28.7,64,Low,13.8,Mild,Other,0,1
3497,44,Male,France,4.0,380.6,6.3,Good,23.7,83,Low,11.2,None,Office,0,0
3498,34,Female,China,0.4,42.5,5.0,Fair,24.8,69,Medium,10.5,Mild,Other,0,0
3499,32,Male,Belgium,0.0,0.0,7.4,Good,24.1,64,Low,5.3,None,Student,0,0
3500,30,Other,Canada,2.2,209.4,5.2,Fair,30.9,58,Medium,8.5,Moderate,Service,0,0
3501,49,Male,France,1.6,156.3,7.2,Good,20.4,76,Low,10.4,None,Other,0,1
3502,27,Female,Switzerland,0.4,35.2,6.3,Good,25.1,81,Low,7.6,None,Office,0,1
3503,35,Male,UK,0.5,51.4,6.7,Good,28.6,71,Low,3.5,None,Student,1,0
3504,35,Female,USA,1.8,169.4,7.6,Good,32.1,76,Low,10.2,Mild,Service,0,1
3505,28,Female,Spain,5.1,481.1,4.7,Poor,20.1,83,High,7.7,Mild,Other,1,1
3506,18,Female,Switzerland,0.7,62.0,10.0,Excellent,28.0,71,Low,3.7,None,Healthcare,1,1
3507,38,Other,France,3.8,364.5,5.4,Fair,22.9,87,Medium,7.9,Mild,Other,0,0
3508,34,Male,Belgium,0.3,27.8,7.8,Good,27.7,88,Low,5.1,None,Healthcare,0,0
3509,41,Female,Canada,1.4,130.1,7.9,Good,21.3,75,Low,1.0,None,Office,0,0
3510,28,Male,Canada,0.2,19.2,8.8,Excellent,29.2,57,Low,7.1,None,Service,0,1
3511,49,Female,USA,5.8,547.1,5.3,Fair,22.7,80,Medium,14.5,Mild,Other,0,0
3512,24,Male,Sweden,3.9,373.8,5.5,Fair,27.9,75,Medium,3.7,Mild,Service,0,0
3513,55,Female,UK,3.6,337.4,7.8,Good,23.8,58,Low,6.6,Mild,Healthcare,0,0
3514,18,Female,France,3.5,330.2,7.1,Good,18.5,68,Low,12.3,None,Student,1,1
3515,40,Male,Norway,1.3,122.5,7.5,Good,25.0,74,Low,14.2,None,Office,0,0
3516,40,Male,USA,2.6,242.6,8.3,Excellent,19.8,71,Low,0.8,None,Other,0,0
3517,25,Male,Finland,0.9,88.5,7.0,Good,22.7,63,Low,11.2,None,Student,1,1
3518,40,Female,Germany,6.5,621.4,6.2,Good,34.9,66,Low,4.8,Mild,Office,0,0
3519,50,Male,Belgium,0.8,77.2,8.5,Excellent,25.3,62,Low,1.6,None,Healthcare,0,0
3520,18,Female,Canada,1.2,114.9,7.0,Good,24.3,69,Low,11.3,None,Office,0,0
3521,41,Female,Finland,4.9,466.0,5.0,Fair,19.0,71,Medium,7.1,Mild,Service,0,1
3522,18,Female,Italy,2.3,222.6,5.6,Fair,16.5,92,Medium,3.1,Mild,Healthcare,0,0
3523,23,Female,South Korea,3.4,323.6,6.2,Good,20.7,68,Low,10.8,None,Office,0,0
3524,54,Male,Japan,2.4,225.9,7.1,Good,21.7,50,Low,3.3,Mild,Service,0,0
3525,28,Female,UK,1.5,139.3,7.9,Good,20.2,62,Low,9.4,None,Service,0,0
3526,20,Female,Sweden,1.5,139.4,9.7,Excellent,21.2,63,Low,5.0,None,Other,0,1
3527,32,Other,Germany,3.8,360.4,6.1,Good,18.0,73,Low,3.4,None,Other,0,0
3528,59,Female,Australia,2.8,269.9,4.9,Poor,22.5,65,High,0.6,Moderate,Office,0,0
3529,18,Female,Spain,4.3,408.9,4.4,Poor,16.7,90,High,2.3,Mild,Service,0,0
3530,22,Male,Italy,4.3,407.1,6.1,Good,24.6,71,Low,14.0,None,Student,0,0
3531,52,Female,UK,3.4,319.7,6.5,Good,19.9,65,Low,6.8,Mild,Service,0,0
3532,57,Female,Switzerland,4.1,386.8,7.1,Good,23.2,67,Low,12.7,Mild,Healthcare,1,0
3533,33,Female,Belgium,3.3,314.0,9.4,Excellent,25.5,69,Low,11.4,None,Office,0,1
3534,20,Female,USA,3.1,291.7,7.3,Good,19.6,79,Low,10.4,None,Office,0,1
3535,60,Male,Japan,2.0,191.3,6.8,Good,19.0,67,Low,11.1,Mild,Other,0,0
3536,54,Female,Belgium,0.0,0.0,8.2,Excellent,25.0,72,Low,2.5,Mild,Service,0,0
3537,43,Other,Mexico,1.5,147.1,4.9,Poor,20.1,72,High,3.7,Mild,Other,0,0
3538,25,Male,Finland,4.7,443.7,6.6,Good,21.1,59,Low,11.7,None,Service,0,0
3539,34,Female,Norway,2.9,278.6,4.6,Poor,21.8,75,High,10.0,Mild,Office,1,1
3540,33,Male,Australia,1.9,180.2,8.4,Excellent,28.8,75,Low,12.2,None,Healthcare,0,0
3541,38,Female,Spain,4.3,408.7,4.7,Poor,30.8,77,High,10.3,Moderate,Healthcare,0,0
3542,52,Male,India,1.8,173.7,7.9,Good,20.1,67,Low,11.8,Mild,Healthcare,0,1
3543,45,Female,Brazil,3.6,338.4,7.4,Good,19.8,69,Low,8.7,None,Office,0,1
3544,22,Male,Canada,4.5,427.0,8.1,Excellent,17.9,67,Low,12.3,None,Other,0,0
3545,51,Female,France,3.4,324.0,5.4,Fair,26.4,79,Medium,4.9,Moderate,Service,0,1
3546,38,Male,Brazil,4.1,388.8,6.3,Good,26.4,59,Low,1.0,None,Other,0,0
3547,43,Male,Australia,3.2,304.8,7.7,Good,28.7,72,Low,3.0,None,Office,0,0
3548,52,Female,Sweden,0.0,0.0,7.4,Good,32.3,93,Low,2.3,Moderate,Other,0,0
3549,21,Male,China,4.5,424.3,6.9,Good,23.6,73,Low,7.1,None,Student,0,0
3550,34,Female,Norway,3.7,351.8,7.3,Good,18.7,87,Low,13.6,None,Service,0,0
3551,28,Other,UK,2.0,194.1,6.3,Good,27.8,67,Low,4.7,None,Office,0,0
3552,18,Female,India,1.6,153.8,5.6,Fair,20.3,73,Medium,7.8,Mild,Student,0,1
3553,39,Female,France,2.7,255.1,5.6,Fair,18.4,63,Medium,12.2,Mild,Other,1,0
3554,65,Male,Switzerland,0.7,66.6,6.8,Good,29.9,54,Low,13.1,Mild,Healthcare,0,0
3555,18,Male,Japan,3.9,371.9,5.5,Fair,15.0,65,Medium,4.2,Mild,Other,0,0
3556,34,Female,Norway,2.3,216.0,6.3,Good,28.3,64,Low,7.8,None,Office,1,1
3557,42,Male,Switzerland,1.2,109.4,6.8,Good,25.6,63,Low,3.8,None,Healthcare,1,1
3558,36,Female,Brazil,3.5,332.2,8.3,Excellent,22.0,77,Low,6.3,None,Other,0,0
3559,33,Male,France,3.2,305.2,5.2,Fair,26.3,68,Medium,5.9,Mild,Office,0,0
3560,19,Female,Switzerland,3.7,353.9,5.5,Fair,26.0,65,Medium,1.0,Mild,Student,0,0
3561,37,Male,Canada,0.6,54.5,6.9,Good,20.9,66,Low,0.4,None,Student,0,0
3562,25,Female,India,3.6,342.5,5.2,Fair,22.3,66,Medium,9.3,Mild,Healthcare,0,0
3563,18,Male,France,5.2,492.1,3.0,Poor,34.6,69,High,2.6,Moderate,Other,1,0
3564,49,Male,Canada,2.4,231.4,5.9,Fair,27.3,85,Medium,2.2,Mild,Student,0,0
3565,46,Female,USA,2.3,222.3,6.3,Good,32.7,81,Low,5.4,Mild,Other,0,0
3566,35,Male,Mexico,0.4,39.4,7.2,Good,23.1,50,Low,3.5,None,Student,1,0
3567,37,Female,USA,2.6,249.2,5.4,Fair,21.2,66,Medium,11.2,Mild,Office,0,1
3568,47,Female,Canada,1.0,91.7,8.9,Excellent,25.7,78,Low,9.7,None,Healthcare,0,0
3569,37,Male,Belgium,4.3,403.9,7.3,Good,21.8,73,Low,14.4,None,Healthcare,0,0
3570,45,Female,Spain,6.1,583.3,4.7,Poor,24.6,67,High,6.0,Mild,Service,0,0
3571,31,Male,Brazil,6.2,586.9,5.3,Fair,20.3,56,Medium,0.4,Mild,Student,0,1
3572,50,Female,UK,1.2,115.5,6.0,Fair,23.5,78,Medium,12.7,Mild,Student,1,0
3573,38,Female,Brazil,1.4,132.4,5.5,Fair,18.9,74,Medium,1.8,Mild,Service,0,0
3574,37,Female,China,3.4,323.7,7.9,Good,23.2,50,Low,4.0,None,Other,0,0
3575,19,Male,Japan,2.2,204.7,5.4,Fair,25.9,50,Medium,9.5,Mild,Healthcare,0,0
3576,38,Male,Brazil,2.5,239.5,6.7,Good,25.1,75,Low,6.9,None,Healthcare,0,1
3577,25,Female,Italy,6.2,587.2,5.5,Fair,26.1,81,Medium,10.4,Mild,Healthcare,0,0
3578,27,Male,Spain,0.9,83.1,6.6,Good,21.0,69,Low,2.9,None,Office,0,0
3579,25,Male,Brazil,2.9,275.5,7.8,Good,23.2,90,Low,8.8,None,Other,1,0
3580,22,Female,Mexico,3.1,291.8,6.9,Good,19.5,75,Low,6.8,None,Service,0,0
3581,60,Female,South Korea,4.1,387.1,6.8,Good,26.7,69,Low,8.8,Mild,Healthcare,0,0
3582,50,Male,France,1.2,114.6,7.2,Good,32.9,75,Low,13.2,Mild,Student,1,1
3583,58,Male,India,4.7,448.9,6.9,Good,23.3,59,Low,8.0,Mild,Student,0,0
3584,20,Male,Belgium,2.9,274.9,5.3,Fair,21.9,65,Medium,11.1,Mild,Other,0,0
3585,35,Male,Australia,1.3,119.4,6.0,Fair,15.0,58,Medium,11.2,Mild,Office,0,0
3586,19,Male,Netherlands,2.2,211.8,7.1,Good,21.4,78,Low,9.9,None,Service,0,0
3587,26,Male,Brazil,4.0,380.4,5.5,Fair,27.0,81,Medium,7.3,Mild,Healthcare,1,0
3588,23,Other,Netherlands,5.6,534.3,5.7,Fair,25.3,78,Medium,0.1,Mild,Service,0,1
3589,49,Female,Canada,2.0,187.4,7.0,Good,27.7,73,Low,1.8,None,Service,0,0
3590,30,Male,USA,5.7,539.0,7.5,Good,30.9,52,Low,8.1,Mild,Student,0,0
3591,47,Male,USA,4.4,414.5,7.4,Good,22.4,87,Low,0.7,None,Office,1,0
3592,42,Female,India,1.7,164.7,8.7,Excellent,20.2,50,Low,0.7,None,Healthcare,0,0
3593,62,Male,China,3.4,323.3,6.7,Good,26.9,72,Low,1.9,Mild,Student,1,1
3594,18,Female,France,3.8,361.8,6.6,Good,24.3,65,Low,3.5,None,Student,0,0
3595,50,Female,Mexico,2.1,203.3,5.9,Fair,19.8,67,Medium,15.0,Mild,Student,0,0
3596,48,Female,Switzerland,1.5,145.7,7.4,Good,18.9,64,Low,1.8,None,Student,0,0
3597,23,Male,Switzerland,2.3,218.5,8.2,Excellent,27.5,71,Low,4.1,None,Service,0,0
3598,47,Female,Australia,1.9,182.3,6.0,Good,24.8,85,Low,10.2,None,Office,0,1
3599,39,Female,Netherlands,2.9,276.8,7.1,Good,18.9,71,Low,10.2,None,Service,0,0
3600,32,Female,USA,5.8,548.5,7.5,Good,24.7,73,Low,13.1,None,Office,1,1
3601,25,Female,Netherlands,3.2,302.9,5.5,Fair,19.5,66,Medium,9.2,Mild,Office,1,0
3602,26,Male,Japan,5.2,495.3,6.9,Good,26.7,65,Low,4.0,None,Healthcare,0,0
3603,59,Male,India,3.4,318.5,7.2,Good,27.8,77,Low,3.6,Mild,Service,0,1
3604,35,Female,China,6.8,649.8,3.3,Poor,27.9,74,High,12.4,Mild,Other,0,0
3605,44,Female,India,1.3,121.6,6.2,Good,25.4,76,Low,1.5,None,Office,0,0
3606,25,Female,UK,0.0,0.0,5.7,Fair,25.0,82,Medium,7.2,Mild,Other,1,0
3607,25,Female,Switzerland,2.9,276.4,5.9,Fair,23.4,64,Medium,7.2,Mild,Student,0,1
3608,47,Male,India,3.1,294.4,6.0,Good,20.6,89,Low,11.1,None,Office,1,1
3609,18,Male,Belgium,4.9,462.1,6.2,Good,28.8,74,Low,14.9,None,Office,0,0
3610,30,Female,Finland,5.4,508.9,7.3,Good,26.6,72,Low,7.4,None,Service,0,0
3611,35,Male,Norway,0.2,15.3,8.4,Excellent,20.7,74,Low,11.6,None,Office,0,1
3612,36,Female,USA,2.2,213.0,6.9,Good,17.7,76,Low,12.8,None,Other,0,0
3613,32,Male,Norway,2.7,257.3,8.2,Excellent,21.8,76,Low,0.5,None,Office,1,0
3614,39,Female,Netherlands,0.8,73.1,7.9,Good,29.3,87,Low,9.5,None,Healthcare,0,0
3615,43,Female,Brazil,2.3,217.6,6.6,Good,26.0,63,Low,13.3,None,Healthcare,0,0
3616,43,Male,Finland,4.1,392.9,8.1,Excellent,24.9,53,Low,10.8,None,Service,0,0
3617,23,Male,Mexico,4.2,403.1,6.4,Good,29.3,63,Low,11.6,None,Healthcare,0,0
3618,31,Female,Brazil,3.1,290.9,6.8,Good,15.8,68,Low,12.2,None,Office,0,1
3619,49,Other,India,5.0,479.2,5.1,Fair,23.7,59,Medium,0.3,Mild,Healthcare,0,0
3620,45,Female,Belgium,3.0,287.2,7.0,Good,28.9,66,Low,13.9,None,Student,0,1
3621,18,Male,Mexico,4.4,419.8,6.8,Good,20.0,59,Low,13.6,None,Service,0,0
3622,39,Male,Netherlands,1.2,118.0,7.9,Good,20.5,55,Low,9.0,None,Office,0,1
3623,18,Male,Sweden,1.3,127.5,6.5,Good,23.2,77,Low,5.2,None,Healthcare,0,0
3624,35,Male,Mexico,5.6,533.5,5.3,Fair,21.9,82,Medium,5.5,Mild,Student,0,0
3625,57,Female,India,1.8,168.0,7.2,Good,22.5,66,Low,8.0,Mild,Healthcare,0,0
3626,23,Female,Italy,4.0,381.9,7.3,Good,24.6,83,Low,4.4,None,Healthcare,0,0
3627,24,Male,Brazil,1.7,162.4,6.3,Good,21.7,80,Low,8.5,None,Healthcare,0,0
3628,44,Male,Canada,3.1,293.1,5.5,Fair,22.7,61,Medium,9.3,Mild,Office,0,0
3629,18,Male,Netherlands,2.3,218.2,6.2,Good,20.7,71,Low,10.9,None,Service,0,0
3630,27,Female,Brazil,3.6,339.5,8.4,Excellent,23.2,64,Low,1.0,None,Student,0,0
3631,42,Female,Japan,3.6,338.8,5.3,Fair,24.8,74,Medium,1.0,Mild,Service,0,1
3632,27,Female,France,1.5,143.2,5.6,Fair,24.4,67,Medium,13.8,Mild,Service,0,0
3633,32,Male,China,3.6,344.4,8.7,Excellent,21.6,89,Low,11.2,None,Other,1,0
3634,43,Female,USA,0.8,74.7,6.7,Good,21.0,55,Low,5.1,None,Student,0,0
3635,40,Male,USA,5.1,483.4,4.8,Poor,22.5,63,High,0.4,Mild,Office,0,1
3636,38,Male,Mexico,3.0,288.7,4.8,Poor,22.3,73,High,9.1,Mild,Office,0,1
3637,30,Female,Finland,0.0,0.0,7.7,Good,19.5,71,Low,3.7,None,Other,1,0
3638,39,Female,Netherlands,0.5,51.0,7.3,Good,20.1,61,Low,0.9,None,Other,0,0
3639,33,Male,Finland,3.5,335.0,7.2,Good,26.0,64,Low,11.3,None,Other,0,0
3640,40,Male,Canada,3.9,374.4,5.4,Fair,15.0,68,Medium,14.7,Mild,Other,0,1
3641,29,Male,Netherlands,1.9,181.8,5.3,Fair,26.3,61,Medium,11.2,Mild,Office,0,0
3642,32,Male,Netherlands,2.7,259.9,7.2,Good,25.4,65,Low,1.7,None,Office,0,1
3643,23,Female,Sweden,3.6,340.9,5.2,Fair,27.5,70,Medium,5.5,Mild,Healthcare,0,1
3644,34,Female,UK,4.5,424.3,6.1,Good,23.6,67,Low,3.7,None,Service,0,0
3645,25,Male,South Korea,3.9,366.9,5.4,Fair,28.6,64,Medium,5.6,Mild,Service,0,0
3646,21,Male,Switzerland,1.7,157.6,8.7,Excellent,27.6,74,Low,8.4,None,Service,0,0
3647,38,Male,France,4.5,431.9,7.4,Good,33.6,61,Low,9.5,Mild,Service,1,0
3648,37,Female,Mexico,0.0,0.0,10.0,Excellent,33.2,72,Low,4.6,Mild,Office,0,0
3649,44,Male,Japan,2.1,197.6,7.5,Good,20.8,69,Low,10.1,None,Office,0,1
3650,29,Female,USA,3.4,325.9,6.9,Good,36.8,57,Low,10.3,Mild,Other,0,0
3651,39,Male,UK,0.7,65.6,7.7,Good,30.1,58,Low,14.9,Mild,Office,0,0
3652,41,Female,Italy,2.6,245.3,4.7,Poor,23.1,50,High,7.2,Mild,Office,0,1
3653,40,Female,UK,3.3,316.3,4.4,Poor,18.9,80,High,4.9,Mild,Healthcare,0,1
3654,25,Female,UK,1.3,127.0,7.7,Good,22.0,67,Low,12.9,None,Student,0,0
3655,36,Female,France,2.8,264.6,5.9,Fair,22.4,74,Medium,2.5,Mild,Other,1,0
3656,39,Female,Switzerland,0.7,63.2,6.9,Good,26.2,78,Low,6.7,None,Other,1,0
3657,35,Female,Japan,4.0,380.8,4.4,Poor,20.4,62,High,9.4,Mild,Healthcare,0,0
3658,18,Male,South Korea,3.3,313.5,5.9,Fair,23.8,66,Medium,2.1,Mild,Student,0,0
3659,36,Male,Canada,3.6,342.8,6.0,Good,26.8,66,Low,0.8,None,Office,1,1
3660,61,Male,Netherlands,2.4,227.6,7.8,Good,20.1,81,Low,6.0,Mild,Other,0,0
3661,30,Female,Belgium,0.0,0.1,7.2,Good,23.5,75,Low,5.2,None,Student,1,0
3662,26,Female,Netherlands,2.3,218.6,5.0,Poor,20.8,66,High,11.2,Mild,Service,0,0
3663,39,Male,Belgium,5.1,483.5,5.6,Fair,31.1,87,Medium,8.0,Moderate,Other,0,0
3664,38,Female,Germany,4.0,382.3,7.7,Good,21.2,54,Low,0.3,None,Student,0,0
3665,49,Female,Sweden,5.1,486.2,5.7,Fair,25.3,78,Medium,13.8,Mild,Service,0,0
3666,19,Female,France,2.6,245.4,7.7,Good,19.6,64,Low,12.9,None,Service,0,0
3667,43,Female,Germany,1.5,138.9,6.1,Good,20.7,61,Low,1.1,None,Office,0,1
3668,42,Female,Switzerland,3.4,321.1,6.9,Good,22.4,89,Low,3.8,None,Student,0,0
3669,33,Male,Australia,2.2,210.1,6.7,Good,18.9,93,Low,9.4,None,Other,0,0
3670,39,Male,Japan,1.7,158.0,6.6,Good,24.6,90,Low,2.7,None,Other,0,1
3671,47,Female,Sweden,0.0,0.0,5.4,Fair,17.9,65,Medium,14.6,Mild,Student,0,1
3672,45,Male,Canada,3.0,285.1,4.6,Poor,24.2,68,High,6.3,Mild,Healthcare,1,0
3673,21,Male,USA,3.9,371.0,6.7,Good,24.3,77,Low,10.6,None,Healthcare,0,0
3674,44,Female,Canada,0.8,71.5,6.9,Good,24.6,79,Low,7.7,None,Office,1,1
3675,34,Female,UK,4.7,449.7,5.7,Fair,27.3,57,Medium,4.6,Mild,Office,0,1
3676,35,Female,India,2.9,273.1,5.5,Fair,28.1,79,Medium,10.5,Mild,Healthcare,0,0
3677,35,Male,UK,2.7,253.2,8.2,Excellent,20.5,60,Low,7.1,None,Service,0,0
3678,33,Female,Canada,0.7,63.7,8.1,Excellent,25.6,67,Low,9.5,None,Service,0,0
3679,49,Male,Switzerland,3.3,312.7,7.4,Good,24.0,71,Low,5.9,None,Healthcare,0,0
3680,33,Male,Mexico,0.8,73.2,8.8,Excellent,27.8,68,Low,15.0,None,Other,0,1
3681,21,Female,Brazil,1.1,101.4,5.5,Fair,22.0,61,Medium,3.1,Mild,Healthcare,0,0
3682,30,Male,France,0.0,0.0,7.3,Good,17.1,65,Low,2.7,None,Other,0,0
3683,37,Male,UK,6.6,622.3,4.3,Poor,23.2,76,High,0.1,Mild,Other,0,0
3684,49,Female,Sweden,2.4,230.6,6.2,Good,23.8,72,Low,13.1,None,Service,0,0
3685,42,Male,Australia,1.6,150.6,6.4,Good,28.7,78,Low,2.4,None,Service,0,1
3686,24,Female,South Korea,2.4,231.5,5.8,Fair,27.4,55,Medium,3.7,Mild,Service,0,0
3687,64,Female,USA,1.7,166.0,6.7,Good,19.0,77,Low,3.1,Mild,Other,0,0
3688,38,Other,Norway,2.2,212.0,9.2,Excellent,28.6,85,Low,14.7,None,Other,0,0
3689,50,Male,Sweden,3.1,290.5,6.9,Good,20.3,81,Low,12.8,None,Office,0,0
3690,33,Female,South Korea,1.9,179.6,7.9,Good,20.6,50,Low,11.2,None,Healthcare,0,0
3691,41,Male,Brazil,2.7,255.2,6.7,Good,24.6,72,Low,5.8,None,Service,0,1
3692,45,Female,South Korea,6.0,569.9,4.1,Poor,24.8,73,High,0.1,Mild,Student,0,1
3693,49,Male,Finland,0.0,0.0,6.2,Good,23.4,62,Low,14.5,None,Student,0,0
3694,47,Male,Italy,0.8,75.3,6.2,Good,23.4,81,Low,3.0,None,Other,0,1
3695,45,Female,Belgium,3.2,307.8,6.5,Good,18.8,77,Low,1.0,None,Office,0,0
3696,31,Male,France,4.6,432.5,7.0,Good,23.6,74,Low,5.7,None,Healthcare,0,0
3697,28,Male,Germany,7.0,663.9,7.0,Good,28.9,64,Low,4.2,None,Other,0,1
3698,38,Male,China,3.1,296.6,7.0,Good,23.7,71,Low,14.2,None,Healthcare,0,0
3699,46,Female,India,0.7,63.8,8.2,Excellent,31.2,82,Low,0.4,Mild,Other,1,0
3700,32,Male,UK,4.8,452.0,5.5,Fair,24.0,88,Medium,14.7,Mild,Service,0,1
3701,47,Male,South Korea,2.7,255.3,7.3,Good,20.6,67,Low,8.8,None,Office,0,1
3702,52,Male,Italy,2.6,249.7,7.2,Good,20.4,65,Low,4.5,Mild,Service,0,1
3703,24,Female,Germany,0.0,0.0,8.1,Excellent,28.3,74,Low,13.0,None,Service,0,0
3704,24,Female,Italy,4.3,404.0,5.5,Fair,25.2,60,Medium,6.3,Mild,Student,0,0
3705,33,Male,Norway,1.1,106.2,9.0,Excellent,18.4,50,Low,8.0,None,Student,0,0
3706,38,Male,China,3.4,318.3,5.6,Fair,24.6,68,Medium,2.1,Mild,Student,0,0
3707,28,Male,Mexico,2.6,247.1,6.1,Good,26.2,76,Low,13.2,None,Student,0,0
3708,51,Male,Belgium,2.8,265.9,7.5,Good,18.8,63,Low,13.2,Mild,Other,0,0
3709,40,Male,France,2.6,244.9,4.7,Poor,23.1,77,High,11.3,Mild,Other,0,0
3710,35,Male,India,1.4,130.0,5.7,Fair,20.6,66,Medium,10.9,Mild,Office,0,0
3711,18,Female,UK,1.2,117.7,6.9,Good,22.2,75,Low,3.0,None,Student,0,1
3712,19,Female,Germany,3.9,372.6,4.2,Poor,20.0,77,High,6.6,Mild,Student,0,0
3713,38,Male,Finland,2.5,235.2,5.7,Fair,16.2,81,Medium,1.4,Mild,Other,1,0
3714,18,Female,South Korea,1.5,144.2,6.9,Good,18.4,62,Low,8.9,None,Healthcare,0,1
3715,47,Female,Belgium,1.7,164.5,5.8,Fair,28.0,62,Medium,3.2,Mild,Service,0,0
3716,33,Female,India,3.5,335.5,8.6,Excellent,21.7,60,Low,4.5,None,Office,1,0
3717,73,Female,Sweden,1.5,140.9,7.6,Good,31.2,74,Low,12.2,Moderate,Other,0,0
3718,62,Male,Germany,4.9,464.9,6.8,Good,19.8,84,Low,14.8,Mild,Other,0,0
3719,32,Male,India,2.3,215.3,6.8,Good,25.0,81,Low,5.7,None,Service,0,1
3720,33,Female,Canada,2.0,187.7,7.6,Good,24.9,60,Low,11.9,None,Office,1,0
3721,46,Male,Finland,3.4,325.5,6.6,Good,23.9,73,Low,2.0,None,Other,0,0
3722,55,Male,Finland,2.1,197.0,5.5,Fair,28.6,82,Medium,7.9,Moderate,Student,0,0
3723,18,Male,Switzerland,3.1,291.9,6.9,Good,18.9,75,Low,8.3,None,Student,1,0
3724,18,Male,Germany,2.4,229.6,5.8,Fair,28.4,57,Medium,13.3,Mild,Other,0,0
3725,27,Female,Australia,0.0,0.0,7.5,Good,22.6,88,Low,3.6,None,Healthcare,0,0
3726,41,Male,UK,0.9,85.4,7.2,Good,25.8,82,Low,1.0,None,Healthcare,0,1
3727,40,Male,Finland,2.9,279.2,5.8,Fair,23.4,70,Medium,5.2,Mild,Healthcare,0,0
3728,47,Male,Finland,1.8,173.2,9.2,Excellent,29.9,69,Low,11.2,None,Student,0,0
3729,20,Male,Australia,5.6,530.9,7.7,Good,20.4,74,Low,0.7,None,Student,0,0
3730,18,Female,Germany,1.3,125.4,6.7,Good,18.0,84,Low,2.2,None,Service,0,0
3731,45,Male,Canada,0.5,50.9,7.5,Good,26.8,65,Low,0.7,None,Healthcare,0,1
3732,25,Female,Sweden,2.6,243.2,7.0,Good,24.6,86,Low,7.4,None,Service,0,0
3733,18,Female,Switzerland,2.9,273.3,5.9,Fair,25.4,68,Medium,12.4,Mild,Other,1,1
3734,36,Female,Netherlands,3.8,363.4,7.1,Good,29.0,83,Low,4.0,None,Other,1,0
3735,44,Male,Mexico,0.0,0.0,6.8,Good,24.9,68,Low,0.5,None,Office,0,0
3736,33,Male,Finland,4.8,452.3,4.6,Poor,22.9,78,High,2.6,Mild,Office,0,0
3737,29,Female,Sweden,0.5,51.0,6.3,Good,23.9,64,Low,1.3,None,Office,0,0
3738,33,Female,Germany,4.1,392.7,5.8,Fair,31.9,69,Medium,8.3,Moderate,Office,0,0
3739,30,Male,Australia,5.4,516.4,3.9,Poor,25.3,75,High,7.5,Mild,Student,0,0
3740,18,Male,Belgium,3.6,343.9,8.1,Excellent,27.1,75,Low,3.7,None,Service,0,0
3741,26,Female,Australia,0.8,74.1,6.3,Good,20.8,52,Low,12.6,None,Student,1,0
3742,41,Female,Mexico,2.2,210.0,6.2,Good,27.4,64,Low,6.2,None,Other,0,1
3743,38,Male,Mexico,3.6,345.2,9.2,Excellent,22.4,81,Low,14.5,None,Healthcare,0,0
3744,37,Female,France,2.5,242.2,5.4,Fair,17.0,63,Medium,3.5,Mild,Healthcare,1,1
3745,23,Female,Netherlands,0.9,88.0,6.7,Good,24.8,82,Low,9.3,None,Service,1,1
3746,32,Female,Japan,2.6,251.7,4.7,Poor,24.5,65,High,11.9,Mild,Service,0,0
3747,18,Female,China,1.7,163.9,6.0,Fair,25.4,72,Medium,2.8,Mild,Other,0,1
3748,37,Male,Switzerland,3.4,323.3,5.9,Fair,22.9,68,Medium,11.9,Mild,Student,0,0
3749,52,Female,Sweden,0.9,86.2,8.2,Excellent,28.2,84,Low,13.3,Mild,Healthcare,0,0
3750,18,Female,China,0.0,0.0,6.0,Fair,25.2,90,Medium,10.0,Mild,Student,0,0
3751,27,Female,Italy,1.0,92.6,7.9,Good,22.7,63,Low,13.4,None,Other,0,0
3752,38,Male,China,0.0,0.0,10.0,Excellent,28.3,71,Low,5.9,None,Student,1,1
3753,50,Female,USA,1.6,148.0,8.9,Excellent,25.5,60,Low,6.0,None,Healthcare,1,0
3754,29,Male,Italy,3.5,333.1,3.1,Poor,24.6,62,High,0.3,Mild,Other,0,1
3755,26,Male,Australia,1.9,181.4,7.3,Good,22.1,81,Low,12.0,None,Student,0,0
3756,18,Female,Australia,2.5,234.0,8.5,Excellent,31.9,70,Low,0.5,Mild,Student,0,0
3757,36,Female,Germany,1.0,94.3,5.9,Fair,20.0,71,Medium,4.0,Mild,Student,0,0
3758,59,Female,Spain,2.5,240.3,6.5,Good,22.6,74,Low,9.3,Mild,Student,0,0
3759,38,Male,Switzerland,1.1,101.3,6.5,Good,22.6,64,Low,9.1,None,Service,0,1
3760,34,Female,Italy,0.7,68.1,8.0,Excellent,23.3,56,Low,7.2,None,Other,0,0
3761,38,Male,Italy,2.2,205.3,6.1,Good,26.4,60,Low,9.3,None,Other,0,0
3762,34,Female,India,1.5,141.1,9.1,Excellent,25.7,64,Low,4.8,None,Student,0,0
3763,25,Male,Sweden,0.0,0.0,8.5,Excellent,26.2,83,Low,3.1,None,Student,0,0
3764,44,Female,Netherlands,2.4,226.2,4.8,Poor,23.6,74,High,4.4,Mild,Service,0,1
3765,37,Female,Finland,1.0,98.7,5.0,Poor,28.6,70,High,3.7,Mild,Healthcare,0,0
3766,35,Male,USA,0.9,88.9,7.1,Good,20.9,56,Low,6.4,None,Service,0,0
3767,23,Male,Germany,4.6,436.4,6.1,Good,20.6,58,Low,11.4,None,Student,0,0
3768,50,Female,Japan,3.8,359.2,6.3,Good,19.1,65,Low,4.9,None,Student,0,0
3769,42,Female,Switzerland,3.1,290.9,5.9,Fair,22.2,69,Medium,5.3,Mild,Student,0,0
3770,28,Female,South Korea,2.6,246.1,5.3,Fair,24.4,63,Medium,10.5,Mild,Student,1,0
3771,47,Female,Germany,3.4,323.8,6.5,Good,21.8,63,Low,13.7,None,Service,0,0
3772,29,Male,Belgium,1.9,181.6,7.3,Good,22.0,65,Low,3.9,None,Student,0,0
3773,25,Male,Germany,2.6,248.8,7.9,Good,28.4,64,Low,11.0,None,Healthcare,1,0
3774,25,Male,France,1.9,180.0,8.2,Excellent,21.2,68,Low,9.4,None,Office,0,0
3775,18,Male,USA,2.7,253.5,6.6,Good,22.7,73,Low,7.8,None,Healthcare,1,0
3776,40,Female,Switzerland,2.9,278.2,7.0,Good,25.5,79,Low,0.3,None,Student,1,1
3777,18,Male,Belgium,2.8,269.3,4.6,Poor,17.3,60,High,5.7,Mild,Service,0,1
3778,20,Female,Brazil,1.9,185.1,7.6,Good,19.2,70,Low,3.1,None,Student,0,0
3779,18,Female,Netherlands,3.5,335.9,8.1,Excellent,27.0,92,Low,2.1,None,Service,0,1
3780,33,Female,Spain,2.2,208.7,7.5,Good,16.6,67,Low,4.1,None,Office,0,1
3781,33,Female,Germany,2.2,205.0,6.6,Good,18.1,70,Low,9.8,None,Other,1,0
3782,31,Male,Netherlands,0.0,0.0,5.9,Fair,17.4,61,Medium,8.1,Mild,Healthcare,0,1
3783,22,Female,Netherlands,1.2,116.2,5.7,Fair,22.6,77,Medium,6.6,Mild,Office,1,0
3784,20,Male,Canada,3.8,360.9,6.2,Good,18.9,65,Low,2.2,None,Student,1,1
3785,40,Male,Sweden,3.7,349.2,7.0,Good,20.6,91,Low,11.7,None,Service,0,0
3786,28,Female,Canada,2.5,234.4,4.1,Poor,28.6,66,High,7.2,Mild,Service,0,0
3787,38,Male,Mexico,1.7,158.0,5.2,Fair,23.2,67,Medium,9.7,Mild,Other,0,0
3788,24,Other,Brazil,2.7,259.1,7.7,Good,24.9,74,Low,0.6,None,Office,0,0
3789,37,Female,Finland,0.0,0.0,9.1,Excellent,25.4,95,Low,13.4,None,Healthcare,0,0
3790,50,Female,India,2.7,257.4,6.4,Good,28.2,58,Low,7.8,None,Service,0,1
3791,42,Male,UK,0.6,59.8,7.7,Good,22.1,80,Low,5.2,None,Healthcare,1,0
3792,30,Female,Australia,2.4,224.6,6.5,Good,23.7,74,Low,12.4,None,Student,1,0
3793,38,Male,Switzerland,2.8,267.8,6.7,Good,23.1,51,Low,12.2,None,Service,0,0
3794,32,Female,Sweden,2.0,187.7,5.4,Fair,20.0,68,Medium,3.3,Mild,Service,0,1
3795,35,Male,Norway,3.6,343.9,7.1,Good,23.4,72,Low,5.6,None,Office,0,0
3796,31,Female,Belgium,1.6,147.4,5.9,Fair,25.2,71,Medium,9.1,Mild,Other,0,0
3797,33,Male,France,1.4,133.7,7.1,Good,27.5,84,Low,15.0,None,Student,0,1
3798,37,Male,Germany,3.4,326.5,7.4,Good,20.5,63,Low,11.8,None,Other,0,0
3799,23,Male,Netherlands,2.0,186.2,7.5,Good,28.3,57,Low,0.7,None,Office,0,1
3800,22,Male,India,4.5,429.4,5.4,Fair,22.4,54,Medium,11.0,Mild,Healthcare,0,1
3801,18,Female,Australia,2.5,239.4,6.9,Good,28.9,81,Low,7.4,None,Office,0,1
3802,18,Male,Canada,3.3,316.1,5.8,Fair,23.9,81,Medium,0.3,Mild,Office,0,0
3803,20,Male,UK,3.9,370.2,7.3,Good,25.1,72,Low,6.8,None,Office,1,0
3804,36,Female,Mexico,2.4,227.3,7.6,Good,22.5,63,Low,4.9,None,Service,0,0
3805,24,Male,Germany,0.2,19.9,7.9,Good,30.3,69,Low,1.6,Mild,Student,0,0
3806,41,Male,China,3.4,326.9,8.3,Excellent,20.4,100,Low,8.0,None,Healthcare,1,0
3807,35,Female,Belgium,4.3,407.5,7.0,Good,28.1,71,Low,14.1,None,Other,1,0
3808,18,Male,Spain,2.1,199.7,8.6,Excellent,19.6,74,Low,13.1,None,Healthcare,0,0
3809,42,Male,Belgium,4.0,379.0,7.3,Good,21.3,53,Low,8.4,None,Service,0,1
3810,44,Male,Sweden,0.7,71.1,6.1,Good,30.8,74,Low,3.1,Mild,Service,0,0
3811,23,Male,Spain,2.7,258.8,6.9,Good,26.5,78,Low,1.7,None,Other,0,0
3812,40,Female,China,2.1,196.8,8.0,Excellent,25.1,65,Low,10.3,None,Service,0,0
3813,24,Male,Brazil,0.1,12.8,8.4,Excellent,24.8,67,Low,5.9,None,Other,0,0
3814,36,Female,South Korea,3.1,294.3,6.1,Good,28.4,76,Low,7.8,None,Service,0,0
3815,19,Male,Japan,1.2,110.9,6.4,Good,25.5,68,Low,11.7,None,Office,0,0
3816,18,Male,Finland,3.1,291.1,7.3,Good,24.1,82,Low,9.0,None,Service,0,0
3817,30,Male,France,1.0,95.3,6.0,Fair,25.8,57,Medium,1.2,Mild,Other,0,1
3818,33,Female,Spain,0.0,0.0,6.8,Good,23.2,71,Low,14.8,None,Other,0,0
3819,30,Female,Switzerland,1.4,135.7,7.0,Good,22.4,76,Low,2.2,None,Other,0,0
3820,20,Female,Canada,4.1,385.0,6.3,Good,21.1,73,Low,14.7,None,Student,0,0
3821,30,Other,Sweden,2.3,214.7,7.7,Good,19.8,60,Low,7.6,None,Healthcare,0,1
3822,38,Male,Japan,2.6,242.6,7.6,Good,25.8,80,Low,12.6,None,Healthcare,0,1
3823,34,Male,USA,2.7,257.4,6.9,Good,23.4,57,Low,1.9,None,Office,0,1
3824,37,Male,France,2.7,252.0,5.3,Fair,17.5,62,Medium,12.9,Mild,Other,0,0
3825,26,Male,China,5.3,504.6,8.0,Good,22.4,72,Low,1.9,None,Student,0,0
3826,49,Male,Spain,2.4,231.6,5.8,Fair,25.2,76,Medium,13.4,Mild,Student,1,1
3827,20,Male,Italy,0.0,0.0,6.4,Good,21.2,61,Low,6.6,None,Student,1,1
3828,40,Male,Sweden,1.9,184.5,5.8,Fair,25.2,54,Medium,12.9,Mild,Other,0,1
3829,49,Male,France,2.6,247.2,4.9,Poor,15.1,75,High,4.1,Mild,Student,0,1
3830,40,Male,Australia,0.6,57.8,8.1,Excellent,30.2,52,Low,10.6,Mild,Student,0,0
3831,32,Male,France,2.1,203.6,8.9,Excellent,25.1,74,Low,11.6,None,Healthcare,0,1
3832,28,Female,India,2.2,205.4,5.2,Fair,16.3,74,Medium,7.5,Mild,Service,0,0
3833,47,Male,Spain,5.2,490.6,4.1,Poor,15.0,88,High,13.0,Mild,Service,0,0
3834,18,Female,Germany,1.5,140.9,7.0,Good,25.0,76,Low,10.2,None,Service,0,0
3835,23,Female,Italy,3.9,372.8,6.9,Good,20.2,66,Low,4.7,None,Other,0,0
3836,30,Male,Sweden,2.3,216.7,4.1,Poor,25.2,73,High,13.9,Mild,Office,0,0
3837,49,Male,Italy,3.8,360.1,5.2,Fair,27.4,80,Medium,5.1,Mild,Office,0,0
3838,39,Male,France,4.6,436.4,7.9,Good,20.9,75,Low,11.0,None,Healthcare,0,0
3839,23,Female,France,3.1,291.8,7.3,Good,26.9,70,Low,10.4,None,Office,0,0
3840,31,Male,Mexico,2.4,229.3,8.2,Excellent,27.6,83,Low,2.0,None,Office,0,0
3841,27,Male,India,4.2,401.2,5.1,Fair,25.8,61,Medium,6.4,Mild,Service,0,1
3842,26,Male,Italy,0.3,29.0,7.0,Good,29.3,55,Low,8.6,None,Service,0,1
3843,46,Female,Italy,2.8,262.2,6.5,Good,20.3,51,Low,2.8,None,Other,0,0
3844,18,Male,Japan,0.6,59.9,8.2,Excellent,18.6,84,Low,1.5,None,Office,0,1
3845,54,Female,South Korea,3.7,351.5,5.7,Fair,17.4,63,Medium,8.2,Moderate,Other,0,0
3846,44,Female,Norway,2.6,251.5,6.0,Fair,24.2,68,Medium,2.3,Mild,Student,1,1
3847,48,Female,Netherlands,2.4,227.2,7.3,Good,25.8,72,Low,11.8,None,Healthcare,0,0
3848,29,Female,China,1.9,184.8,7.7,Good,26.5,63,Low,12.8,None,Healthcare,0,0
3849,33,Male,UK,3.5,333.9,5.9,Fair,23.8,83,Medium,1.4,Mild,Student,0,1
3850,18,Female,Norway,0.0,0.0,7.3,Good,25.3,81,Low,10.5,None,Healthcare,0,0
3851,28,Female,Netherlands,5.4,508.6,7.3,Good,25.3,78,Low,11.0,None,Office,0,0
3852,40,Male,South Korea,2.3,217.2,7.0,Good,25.7,70,Low,1.0,None,Other,0,0
3853,50,Male,France,0.6,52.3,6.4,Good,26.1,64,Low,8.9,None,Office,0,1
3854,21,Female,Japan,0.0,0.0,7.4,Good,27.6,59,Low,9.3,None,Healthcare,0,0
3855,30,Female,Germany,2.2,213.5,7.4,Good,19.0,73,Low,7.7,None,Office,1,0
3856,33,Female,USA,2.8,270.3,6.7,Good,21.1,65,Low,10.3,None,Healthcare,0,0
3857,18,Female,France,3.0,281.0,7.2,Good,25.9,77,Low,3.7,None,Other,1,0
3858,42,Female,Norway,0.3,30.8,8.1,Excellent,17.4,60,Low,3.9,None,Healthcare,0,0
3859,26,Male,Brazil,0.7,62.2,7.4,Good,23.5,56,Low,13.9,None,Student,0,1
3860,32,Female,France,4.5,430.7,7.4,Good,28.1,81,Low,10.2,None,Healthcare,1,0
3861,29,Male,Sweden,0.2,16.3,6.8,Good,30.1,68,Low,6.0,Mild,Student,1,0
3862,25,Female,Brazil,2.7,253.4,6.0,Good,26.6,77,Low,10.1,None,Other,0,0
3863,34,Female,Australia,1.9,182.6,8.4,Excellent,25.6,80,Low,11.2,None,Healthcare,0,0
3864,32,Female,Germany,1.7,161.1,4.1,Poor,27.8,66,High,4.5,Mild,Other,1,1
3865,30,Male,Australia,2.1,198.5,7.2,Good,25.7,52,Low,7.8,None,Service,0,1
3866,26,Male,Sweden,1.7,160.6,6.4,Good,26.6,90,Low,1.7,None,Service,1,0
3867,38,Male,Netherlands,1.6,155.9,7.6,Good,31.5,88,Low,9.0,Mild,Healthcare,0,1
3868,54,Female,Germany,4.0,379.8,5.0,Poor,24.2,75,High,10.3,Moderate,Service,1,0
3869,36,Female,South Korea,1.9,180.0,7.2,Good,23.1,68,Low,11.1,None,Office,0,0
3870,46,Male,Canada,0.7,63.8,7.6,Good,29.3,64,Low,14.4,None,Office,0,0
3871,18,Female,Germany,2.4,225.5,7.1,Good,23.5,75,Low,2.5,None,Student,0,1
3872,36,Female,Brazil,0.9,86.6,5.8,Fair,25.9,77,Medium,1.0,Mild,Service,0,1
3873,21,Male,Mexico,0.9,82.6,6.2,Good,27.1,69,Low,14.1,None,Student,1,0
3874,18,Male,India,4.7,444.9,7.1,Good,19.5,64,Low,9.7,None,Service,1,0
3875,26,Female,Belgium,2.2,211.4,6.5,Good,23.9,81,Low,8.4,None,Office,0,0
3876,49,Female,Switzerland,0.6,55.5,4.5,Poor,21.9,63,High,6.3,Mild,Service,0,1
3877,46,Female,Sweden,2.3,222.8,6.1,Good,22.5,81,Low,6.6,None,Office,0,1
3878,37,Female,South Korea,2.6,246.6,8.0,Excellent,27.4,68,Low,4.5,None,Office,0,1
3879,18,Other,Spain,2.2,208.0,6.5,Good,19.4,87,Low,9.4,None,Other,1,0
3880,32,Male,Spain,1.8,167.9,5.2,Fair,22.9,60,Medium,0.2,Mild,Office,0,0
3881,38,Female,Switzerland,0.4,39.8,6.5,Good,25.1,87,Low,8.2,None,Office,0,0
3882,37,Male,Japan,1.9,178.3,6.7,Good,23.6,70,Low,0.9,None,Student,1,0
3883,18,Male,Finland,1.3,124.4,5.9,Fair,25.4,71,Medium,10.9,Mild,Service,0,0
3884,24,Male,Spain,2.3,220.1,8.3,Excellent,26.3,64,Low,14.4,None,Healthcare,0,0
3885,34,Male,Sweden,3.1,297.7,6.2,Good,26.6,64,Low,2.8,None,Healthcare,0,1
3886,41,Female,Spain,5.1,487.1,6.0,Fair,28.4,62,Medium,4.1,Mild,Office,0,0
3887,18,Female,Netherlands,3.7,347.9,6.3,Good,33.4,63,Low,8.1,Mild,Service,0,0
3888,33,Male,Sweden,0.0,0.0,4.8,Poor,27.7,74,High,7.3,Mild,Other,0,0
3889,36,Female,Sweden,2.8,269.2,7.0,Good,23.8,88,Low,12.2,None,Healthcare,0,0
3890,45,Female,Canada,4.8,453.5,5.6,Fair,25.8,81,Medium,1.9,Mild,Student,0,0
3891,43,Female,Spain,2.3,217.2,3.7,Poor,22.7,70,High,8.3,Mild,Student,0,1
3892,41,Female,Switzerland,4.8,459.2,4.5,Poor,28.4,70,High,13.8,Mild,Student,0,0
3893,25,Male,Brazil,0.8,80.1,6.8,Good,25.2,89,Low,10.0,None,Other,0,0
3894,18,Female,Japan,1.2,112.5,8.3,Excellent,30.4,73,Low,4.0,Mild,Other,0,0
3895,30,Female,Belgium,2.2,213.4,7.5,Good,22.7,66,Low,0.9,None,Other,1,1
3896,47,Female,Japan,2.3,216.7,7.3,Good,22.9,78,Low,6.3,None,Service,1,0
3897,51,Female,Canada,3.8,356.7,6.6,Good,23.2,74,Low,7.0,Mild,Service,0,0
3898,43,Female,Mexico,2.5,237.8,7.1,Good,22.0,77,Low,2.0,None,Service,0,0
3899,40,Female,France,2.3,222.0,6.8,Good,26.2,87,Low,7.2,None,Other,0,0
3900,39,Female,Netherlands,6.2,590.4,5.2,Fair,25.0,62,Medium,10.2,Mild,Healthcare,0,1
3901,28,Other,Brazil,1.3,126.7,6.0,Fair,25.4,59,Medium,7.1,Mild,Healthcare,0,0
3902,33,Male,Belgium,4.4,421.1,6.4,Good,16.1,78,Low,3.4,None,Healthcare,0,0
3903,55,Male,Australia,3.1,296.7,5.6,Fair,20.1,76,Medium,14.4,Moderate,Service,0,1
3904,23,Male,Australia,2.0,185.3,4.7,Poor,23.7,60,High,1.7,Mild,Service,0,0
3905,54,Female,Italy,2.9,274.4,7.3,Good,24.5,88,Low,9.1,Mild,Healthcare,0,0
3906,31,Female,France,1.3,121.0,7.3,Good,30.4,75,Low,10.9,Mild,Other,0,0
3907,50,Male,Netherlands,2.6,249.8,4.6,Poor,20.2,64,High,4.0,Mild,Healthcare,0,1
3908,18,Other,Mexico,2.5,236.9,5.1,Fair,19.5,69,Medium,5.7,Mild,Healthcare,0,0
3909,42,Female,USA,3.2,305.4,6.9,Good,19.8,51,Low,6.5,None,Office,0,0
3910,26,Female,Sweden,2.3,220.9,5.3,Fair,24.4,74,Medium,9.7,Mild,Service,0,0
3911,18,Male,Norway,5.0,474.9,6.3,Good,26.9,60,Low,7.7,None,Office,0,0
3912,37,Female,Sweden,1.2,111.8,7.8,Good,21.8,67,Low,2.9,None,Office,1,1
3913,47,Female,France,1.5,139.4,6.2,Good,24.6,69,Low,13.4,None,Student,0,1
3914,24,Female,China,2.9,271.6,7.4,Good,19.3,90,Low,5.5,None,Office,0,0
3915,18,Female,Netherlands,1.3,122.7,6.2,Good,18.9,84,Low,5.7,None,Other,0,0
3916,33,Female,Netherlands,3.5,333.4,6.1,Good,22.2,50,Low,12.0,None,Healthcare,0,1
3917,33,Male,Switzerland,4.5,424.8,6.8,Good,27.4,63,Low,8.0,None,Student,0,1
3918,41,Female,Australia,1.7,163.5,7.5,Good,21.2,74,Low,3.5,None,Other,0,0
3919,46,Male,Belgium,2.6,250.1,5.1,Fair,23.3,71,Medium,13.7,Mild,Student,0,0
3920,34,Male,Germany,3.5,330.8,4.9,Poor,20.3,83,High,12.1,Mild,Student,0,0
3921,57,Male,France,3.8,363.4,4.6,Poor,19.7,61,High,9.0,Moderate,Student,0,1
3922,37,Male,USA,7.7,733.1,7.9,Good,25.8,72,Low,7.7,None,Office,0,1
3923,30,Male,Germany,0.5,44.0,6.4,Good,21.7,62,Low,10.1,None,Other,1,0
3924,18,Female,Mexico,4.7,450.4,5.5,Fair,18.4,74,Medium,5.4,Mild,Student,0,0
3925,31,Female,Japan,1.5,145.9,7.1,Good,18.2,66,Low,10.4,None,Student,0,1
3926,30,Male,Switzerland,1.6,152.0,4.8,Poor,28.0,78,High,0.6,Mild,Healthcare,0,0
3927,46,Female,Canada,2.7,257.9,6.1,Good,17.3,66,Low,6.0,None,Office,0,0
3928,40,Male,South Korea,2.6,246.4,6.6,Good,28.5,64,Low,9.3,None,Service,1,0
3929,20,Male,Norway,4.4,415.7,5.2,Fair,26.6,96,Medium,9.3,Mild,Other,1,0
3930,37,Female,Finland,0.3,28.0,5.6,Fair,22.2,83,Medium,1.1,Mild,Healthcare,0,1
3931,43,Female,India,0.0,0.0,6.5,Good,26.9,81,Low,10.8,None,Service,0,1
3932,53,Female,Norway,5.4,513.1,5.6,Fair,23.2,66,Medium,1.3,Moderate,Service,0,0
3933,45,Male,Finland,0.3,32.3,6.3,Good,25.7,59,Low,11.1,None,Other,0,0
3934,44,Female,Sweden,4.0,380.7,4.6,Poor,16.5,51,High,13.7,Mild,Other,0,0
3935,35,Female,Brazil,4.6,436.3,4.5,Poor,24.6,75,High,14.6,Mild,Service,1,0
3936,39,Female,Mexico,4.2,399.2,7.9,Good,22.6,78,Low,9.1,None,Office,0,0
3937,49,Male,Japan,3.3,310.4,4.9,Poor,22.0,62,High,10.7,Mild,Other,0,1
3938,19,Female,Brazil,3.6,343.8,6.2,Good,27.6,76,Low,3.5,None,Student,0,1
3939,30,Female,Italy,1.7,163.0,6.5,Good,32.4,53,Low,5.6,Mild,Office,1,1
3940,25,Other,Mexico,0.0,0.0,6.4,Good,29.2,100,Low,0.2,None,Other,0,1
3941,39,Male,India,2.0,188.0,6.5,Good,28.7,60,Low,12.0,None,Student,0,0
3942,49,Female,Switzerland,1.7,160.0,6.3,Good,20.7,61,Low,10.3,None,Other,0,1
3943,27,Male,Canada,1.1,102.9,6.3,Good,26.7,62,Low,3.9,None,Other,0,1
3944,18,Female,India,2.6,244.6,7.9,Good,22.5,81,Low,7.4,None,Office,0,0
3945,30,Male,Mexico,0.0,0.0,5.9,Fair,22.1,77,Medium,10.9,Mild,Student,0,0
3946,45,Male,UK,4.4,416.3,5.6,Fair,32.6,73,Medium,10.0,Moderate,Service,1,0
3947,41,Female,South Korea,2.4,227.6,7.7,Good,16.0,95,Low,4.8,None,Healthcare,0,0
3948,40,Male,Netherlands,1.8,167.1,6.0,Good,25.9,74,Low,5.5,None,Service,1,0
3949,31,Male,Japan,2.0,193.4,6.2,Good,25.7,74,Low,2.3,None,Student,1,0
3950,19,Male,Canada,2.3,215.2,5.9,Fair,27.3,77,Medium,2.1,Mild,Healthcare,0,0
3951,41,Male,Finland,0.9,89.8,8.1,Excellent,27.3,65,Low,6.1,None,Office,0,1
3952,24,Female,France,0.9,89.3,7.9,Good,26.0,54,Low,7.2,None,Healthcare,1,0
3953,61,Female,Japan,0.5,51.2,5.5,Fair,25.7,67,Medium,14.3,Moderate,Office,1,1
3954,41,Female,India,0.4,35.2,8.6,Excellent,20.9,52,Low,7.6,None,Office,0,0
3955,28,Male,USA,1.2,115.5,4.2,Poor,24.3,79,High,2.8,Mild,Service,0,1
3956,27,Female,Norway,2.3,216.5,4.6,Poor,27.4,74,High,2.5,Mild,Healthcare,0,0
3957,33,Male,South Korea,4.2,394.4,4.5,Poor,21.3,63,High,5.2,Mild,Office,0,0
3958,32,Female,UK,0.1,12.9,5.7,Fair,25.5,66,Medium,13.8,Mild,Healthcare,0,0
3959,48,Female,Netherlands,3.9,367.9,5.9,Fair,27.4,76,Medium,11.9,Mild,Student,0,0
3960,37,Female,France,0.1,8.3,5.7,Fair,22.7,76,Medium,7.4,Mild,Service,0,0
3961,26,Female,Belgium,2.6,251.2,5.2,Fair,30.3,73,Medium,14.3,Moderate,Student,0,0
3962,57,Male,USA,0.2,21.3,7.5,Good,26.3,54,Low,3.2,Mild,Healthcare,0,0
3963,35,Male,Norway,0.6,57.3,6.5,Good,17.7,52,Low,6.5,None,Other,0,0
3964,44,Female,France,3.0,282.6,7.4,Good,24.4,67,Low,0.0,None,Healthcare,0,0
3965,27,Male,Mexico,3.0,280.9,7.6,Good,20.9,78,Low,13.0,None,Office,0,0
3966,39,Male,USA,3.6,344.2,6.6,Good,19.9,68,Low,2.4,None,Service,0,0
3967,38,Male,Australia,1.1,104.7,7.6,Good,20.2,80,Low,14.4,None,Other,0,0
3968,18,Female,South Korea,4.0,379.5,6.1,Good,31.6,88,Low,7.6,Mild,Healthcare,0,1
3969,59,Female,India,4.8,460.3,4.7,Poor,20.8,66,High,14.9,Moderate,Service,0,0
3970,50,Male,Italy,2.8,270.7,4.8,Poor,23.4,55,High,8.1,Mild,Office,0,0
3971,30,Male,Italy,0.0,0.0,4.6,Poor,25.3,79,High,6.8,Mild,Healthcare,0,0
3972,21,Female,Mexico,0.0,0.0,7.8,Good,21.2,97,Low,7.1,None,Student,0,0
3973,39,Female,Mexico,2.7,259.3,6.7,Good,20.7,71,Low,12.5,None,Other,0,1
3974,36,Male,Mexico,1.6,156.0,3.1,Poor,21.5,64,High,5.4,Mild,Service,1,0
3975,39,Female,Italy,1.0,95.6,7.5,Good,21.7,83,Low,12.8,None,Healthcare,0,0
3976,37,Female,Finland,2.2,213.7,6.6,Good,26.1,76,Low,13.3,None,Service,0,1
3977,41,Female,Switzerland,2.0,186.5,5.5,Fair,20.6,72,Medium,4.3,Mild,Other,0,1
3978,52,Female,Italy,2.3,214.7,5.5,Fair,30.1,69,Medium,13.9,Severe,Student,1,0
3979,41,Female,Japan,1.2,112.0,6.4,Good,23.1,70,Low,2.9,None,Healthcare,0,1
3980,22,Male,India,5.5,519.6,7.5,Good,30.5,63,Low,12.4,Mild,Other,0,0
3981,51,Male,France,0.9,82.6,6.8,Good,23.8,92,Low,2.5,Mild,Office,0,1
3982,54,Male,Italy,2.1,199.1,5.7,Fair,18.1,64,Medium,10.8,Moderate,Healthcare,0,1
3983,72,Male,India,0.0,0.0,9.6,Excellent,21.5,50,Low,14.6,Mild,Office,0,0
3984,21,Male,Mexico,0.8,72.7,8.0,Good,26.1,69,Low,1.1,None,Student,0,0
3985,37,Male,Germany,0.5,52.0,8.0,Good,19.8,75,Low,2.9,None,Student,1,0
3986,18,Female,Italy,1.7,160.8,7.9,Good,23.8,87,Low,5.3,None,Healthcare,1,0
3987,41,Female,Netherlands,2.1,202.0,8.1,Excellent,25.4,66,Low,5.4,None,Service,0,0
3988,28,Female,South Korea,1.9,177.4,7.2,Good,25.5,57,Low,2.7,None,Service,0,0
3989,58,Female,Mexico,1.7,159.5,6.8,Good,26.3,82,Low,7.5,Mild,Service,0,0
3990,25,Male,Italy,2.8,268.0,6.7,Good,24.9,63,Low,11.9,None,Service,0,0
3991,18,Male,Japan,2.9,279.0,4.9,Poor,20.0,77,High,12.0,Mild,Other,1,0
3992,29,Male,China,0.0,0.0,4.3,Poor,22.9,59,High,7.0,Mild,Healthcare,0,1
3993,18,Female,France,4.1,388.2,7.2,Good,24.0,62,Low,4.7,None,Service,0,1
3994,44,Male,Germany,2.9,274.7,8.8,Excellent,25.8,67,Low,3.6,None,Student,0,1
3995,18,Female,Japan,0.0,0.0,6.5,Good,21.1,57,Low,10.7,None,Healthcare,0,0
3996,35,Female,South Korea,3.8,365.6,8.1,Excellent,23.8,55,Low,1.3,None,Service,0,0
3997,18,Male,Canada,4.0,382.8,8.2,Excellent,31.7,65,Low,8.2,Mild,Office,0,0
3998,31,Male,Germany,0.0,0.0,6.4,Good,27.7,70,Low,8.1,None,Healthcare,0,0
3999,54,Female,USA,2.0,193.0,8.1,Excellent,27.5,95,Low,1.7,Mild,Service,0,1
4000,39,Female,Germany,2.9,275.1,7.3,Good,23.8,73,Low,7.1,None,Other,0,0
4001,24,Female,UK,4.1,389.9,6.0,Fair,24.8,72,Medium,3.7,Mild,Office,1,0
4002,34,Male,China,3.2,307.5,7.2,Good,24.1,73,Low,2.5,None,Office,0,0
4003,35,Female,France,1.7,157.3,7.1,Good,25.9,75,Low,1.2,None,Student,0,0
4004,40,Male,Belgium,0.9,83.2,4.5,Poor,19.1,70,High,2.9,Mild,Service,0,1
4005,18,Other,Norway,0.3,26.8,9.9,Excellent,20.8,81,Low,9.7,None,Service,0,0
4006,42,Female,Germany,1.1,105.2,5.5,Fair,18.4,73,Medium,10.9,Mild,Healthcare,0,0
4007,18,Female,Belgium,3.3,314.1,6.7,Good,27.0,70,Low,3.4,None,Student,0,0
4008,27,Male,China,3.9,368.7,8.6,Excellent,26.9,62,Low,8.6,None,Office,0,1
4009,29,Female,USA,1.9,183.7,6.4,Good,21.4,75,Low,5.6,None,Other,0,1
4010,42,Male,South Korea,4.1,393.7,5.5,Fair,21.2,83,Medium,8.1,Mild,Service,0,1
4011,35,Male,China,3.1,295.6,6.7,Good,26.9,79,Low,3.7,None,Office,0,0
4012,18,Male,Netherlands,6.3,597.8,5.6,Fair,26.8,68,Medium,0.7,Mild,Service,0,0
4013,23,Female,Canada,0.0,0.0,8.5,Excellent,30.5,70,Low,4.9,Mild,Service,1,0
4014,37,Female,Norway,2.2,206.4,5.7,Fair,20.7,88,Medium,2.4,Mild,Other,0,0
4015,34,Male,Australia,2.8,267.7,5.9,Fair,23.5,81,Medium,11.0,Mild,Other,0,0
4016,28,Female,Netherlands,5.3,500.8,6.1,Good,24.5,78,Low,11.0,None,Other,0,0
4017,29,Male,Australia,0.3,30.2,5.4,Fair,26.3,63,Medium,1.1,Mild,Healthcare,0,0
4018,43,Male,Belgium,1.1,99.8,6.2,Good,27.9,75,Low,6.0,None,Other,0,1
4019,28,Male,Switzerland,2.6,245.3,6.0,Fair,23.5,88,Medium,1.4,Mild,Other,0,0
4020,33,Female,Switzerland,0.7,63.2,5.4,Fair,24.9,71,Medium,10.7,Mild,Other,0,1
4021,61,Female,Switzerland,2.1,202.1,5.9,Fair,22.7,50,Medium,0.3,Moderate,Other,0,0
4022,18,Female,Canada,0.0,4.4,7.9,Good,18.2,89,Low,6.6,None,Student,0,1
4023,18,Female,China,4.3,407.8,4.0,Poor,20.6,81,High,2.3,Mild,Healthcare,0,0
4024,44,Male,France,5.0,476.8,7.5,Good,22.1,64,Low,10.0,None,Service,1,0
4025,26,Female,France,5.1,481.9,5.6,Fair,26.2,71,Medium,3.2,Mild,Healthcare,1,0
4026,31,Male,Switzerland,2.7,259.3,7.0,Good,15.6,69,Low,6.1,None,Healthcare,0,0
4027,25,Female,China,2.8,262.5,7.8,Good,26.3,67,Low,0.1,None,Healthcare,1,0
4028,31,Female,Spain,2.5,235.8,5.5,Fair,26.3,70,Medium,14.8,Mild,Other,0,0
4029,54,Female,Switzerland,3.8,360.2,7.0,Good,22.2,79,Low,11.3,Mild,Healthcare,0,0
4030,44,Male,China,4.4,417.2,4.8,Poor,31.6,88,High,2.5,Moderate,Student,0,0
4031,45,Female,China,3.6,339.1,4.8,Poor,25.0,65,High,6.7,Mild,Service,1,0
4032,18,Male,Switzerland,2.9,272.1,6.3,Good,25.0,80,Low,7.5,None,Healthcare,0,0
4033,21,Female,India,3.6,338.0,6.3,Good,23.4,63,Low,3.4,None,Service,1,0
4034,18,Male,Germany,2.5,236.0,7.8,Good,16.7,83,Low,1.3,None,Office,0,1
4035,25,Male,India,0.5,46.4,5.2,Fair,21.4,73,Medium,8.5,Mild,Office,0,0
4036,46,Female,China,1.6,153.2,7.5,Good,20.8,70,Low,12.5,None,Healthcare,0,0
4037,41,Female,South Korea,2.8,267.8,6.1,Good,26.6,68,Low,8.6,None,Student,0,0
4038,32,Male,Italy,1.2,113.5,6.7,Good,21.9,81,Low,9.5,None,Office,0,0
4039,34,Female,Switzerland,1.1,103.6,4.3,Poor,25.2,56,High,8.9,Mild,Office,0,1
4040,26,Female,Sweden,3.4,325.6,6.2,Good,17.5,83,Low,6.8,None,Student,0,0
4041,37,Female,Australia,3.5,334.5,7.4,Good,29.5,66,Low,2.2,None,Other,0,0
4042,44,Male,India,2.9,279.6,6.2,Good,26.9,79,Low,3.0,None,Healthcare,1,0
4043,18,Female,Netherlands,1.8,166.6,6.3,Good,23.9,72,Low,4.9,None,Office,1,0
4044,38,Male,Spain,2.0,189.4,8.9,Excellent,22.1,59,Low,4.4,None,Student,0,1
4045,46,Female,India,3.6,337.3,6.4,Good,27.3,68,Low,7.8,None,Office,0,1
4046,30,Female,Japan,1.1,109.0,4.7,Poor,21.9,61,High,6.3,Mild,Service,0,1
4047,43,Female,India,0.3,30.2,5.0,Fair,21.9,56,Medium,9.6,Mild,Office,1,0
4048,68,Female,Spain,3.3,309.8,8.3,Excellent,23.1,75,Low,12.6,Mild,Service,0,0
4049,33,Male,Finland,2.3,220.5,6.0,Good,29.9,54,Low,0.7,None,Other,0,0
4050,39,Male,India,4.5,423.8,7.3,Good,21.5,64,Low,6.9,None,Student,1,0
4051,26,Male,South Korea,0.9,85.7,6.4,Good,26.7,74,Low,3.2,None,Other,1,0
4052,37,Male,France,4.1,390.6,6.8,Good,20.9,61,Low,13.7,None,Service,0,0
4053,40,Male,Australia,1.6,154.3,6.2,Good,15.6,83,Low,8.2,None,Office,1,1
4054,37,Male,Australia,3.7,348.9,6.3,Good,25.6,92,Low,13.3,None,Other,0,0
4055,22,Female,South Korea,0.6,53.9,7.4,Good,20.5,86,Low,10.1,None,Service,0,1
4056,37,Female,South Korea,0.1,8.8,5.5,Fair,22.8,74,Medium,2.0,Mild,Other,0,0
4057,52,Female,Brazil,3.0,287.5,6.9,Good,27.4,69,Low,12.7,Mild,Service,0,1
4058,40,Female,Sweden,2.1,198.3,6.9,Good,20.4,72,Low,4.8,None,Office,0,1
4059,46,Male,Belgium,2.7,260.2,4.7,Poor,22.3,88,High,11.2,Mild,Other,0,1
4060,32,Male,South Korea,1.0,98.5,10.0,Excellent,26.6,57,Low,7.6,None,Student,1,1
4061,43,Female,Italy,3.0,284.3,6.1,Good,22.2,53,Low,11.0,None,Other,0,0
4062,38,Female,South Korea,4.4,419.0,5.1,Fair,24.3,69,Medium,7.9,Mild,Service,0,0
4063,23,Female,Switzerland,4.1,393.8,8.1,Excellent,23.4,74,Low,13.9,None,Healthcare,0,0
4064,38,Male,Brazil,1.5,141.4,5.3,Fair,23.4,81,Medium,7.7,Mild,Office,1,1
4065,23,Male,Japan,0.6,58.5,6.2,Good,23.2,79,Low,0.9,None,Other,0,1
4066,27,Female,China,2.5,237.1,6.8,Good,25.8,86,Low,6.8,None,Service,1,0
4067,37,Female,China,3.8,358.3,5.7,Fair,16.4,72,Medium,14.5,Mild,Student,1,0
4068,38,Female,Spain,0.0,0.0,7.6,Good,22.9,69,Low,11.8,None,Office,1,0
4069,20,Female,India,3.4,324.3,7.1,Good,20.9,73,Low,9.5,None,Office,1,1
4070,47,Female,Australia,5.5,524.0,5.2,Fair,26.7,61,Medium,2.3,Mild,Student,1,0
4071,41,Female,USA,3.5,328.6,8.2,Excellent,28.8,85,Low,2.7,None,Student,0,0
4072,26,Female,Italy,0.2,15.8,6.6,Good,23.9,66,Low,10.8,None,Service,1,1
4073,18,Female,South Korea,0.8,76.1,7.1,Good,23.3,67,Low,11.0,None,Other,0,0
4074,33,Female,USA,1.5,139.2,6.3,Good,26.0,73,Low,5.6,None,Office,0,1
4075,29,Female,Netherlands,2.3,216.8,6.1,Good,24.5,63,Low,14.9,None,Healthcare,1,0
4076,36,Female,India,3.0,287.2,6.5,Good,23.4,69,Low,10.4,None,Student,1,0
4077,30,Male,Japan,3.6,340.2,8.7,Excellent,25.0,76,Low,13.4,None,Student,0,0
4078,18,Female,Switzerland,2.1,195.0,7.2,Good,22.7,85,Low,0.7,None,Office,0,0
4079,30,Female,China,2.9,274.0,5.3,Fair,26.9,74,Medium,9.4,Mild,Student,0,1
4080,31,Male,Belgium,0.9,83.4,7.0,Good,31.0,88,Low,11.2,Mild,Student,1,1
4081,42,Female,Spain,1.4,136.9,6.1,Good,23.3,68,Low,12.0,None,Other,0,1
4082,26,Male,Finland,3.8,363.6,7.6,Good,25.7,54,Low,10.1,None,Service,0,0
4083,55,Female,South Korea,3.2,301.9,6.4,Good,16.1,56,Low,9.1,Mild,Service,0,1
4084,18,Female,Australia,3.4,319.7,4.8,Poor,17.0,76,High,11.2,Mild,Student,0,0
4085,50,Male,Norway,0.9,89.4,7.3,Good,24.9,67,Low,0.6,None,Healthcare,0,0
4086,32,Male,Spain,2.4,232.1,5.6,Fair,22.5,82,Medium,11.3,Mild,Student,0,0
4087,45,Female,Spain,2.6,249.7,7.1,Good,21.1,73,Low,4.9,None,Healthcare,0,0
4088,35,Female,Italy,3.0,283.5,7.7,Good,25.8,72,Low,11.4,None,Healthcare,0,1
4089,48,Male,UK,4.0,382.5,6.1,Good,22.8,61,Low,11.7,None,Healthcare,0,1
4090,30,Female,Germany,2.6,243.9,6.4,Good,25.8,50,Low,4.1,None,Healthcare,0,0
4091,21,Female,Canada,4.9,464.1,6.5,Good,24.5,67,Low,10.7,None,Office,1,0
4092,52,Female,Germany,0.0,0.0,6.2,Good,27.0,58,Low,4.9,Mild,Student,0,0
4093,33,Male,UK,2.0,193.6,6.8,Good,23.5,55,Low,10.9,None,Office,1,0
4094,37,Female,Netherlands,4.0,384.6,6.6,Good,23.9,73,Low,2.8,None,Healthcare,0,0
4095,49,Male,Japan,1.4,131.1,5.7,Fair,22.8,79,Medium,1.2,Mild,Other,0,0
4096,22,Female,Brazil,3.8,356.3,7.9,Good,22.1,76,Low,8.8,None,Service,0,0
4097,42,Female,Sweden,2.6,251.4,4.5,Poor,25.8,75,High,2.9,Mild,Student,0,0
4098,27,Male,India,5.3,508.0,7.2,Good,20.3,64,Low,13.4,None,Student,0,0
4099,33,Female,Australia,2.3,216.0,8.3,Excellent,28.2,58,Low,2.4,None,Office,0,0
4100,35,Male,India,2.3,217.7,7.6,Good,20.1,60,Low,9.1,None,Healthcare,0,0
4101,18,Female,Switzerland,5.2,494.2,5.0,Poor,22.7,83,High,10.5,Mild,Healthcare,0,0
4102,25,Female,Belgium,2.0,186.0,7.7,Good,22.3,69,Low,0.0,None,Office,0,1
4103,51,Female,Australia,4.1,388.0,8.9,Excellent,26.3,90,Low,13.0,Mild,Student,1,0
4104,45,Female,South Korea,3.0,281.3,6.3,Good,28.9,82,Low,10.9,None,Office,0,0
4105,34,Female,South Korea,4.1,392.4,6.4,Good,25.2,90,Low,11.5,None,Service,0,0
4106,37,Female,USA,2.0,187.8,7.6,Good,30.2,71,Low,0.8,Mild,Student,1,1
4107,31,Female,China,2.3,222.3,5.6,Fair,21.2,73,Medium,5.3,Mild,Healthcare,0,0
4108,51,Male,UK,1.9,185.1,4.9,Poor,22.9,57,High,9.6,Moderate,Other,0,0
4109,32,Female,Canada,0.0,0.0,7.5,Good,18.4,70,Low,3.4,None,Other,1,1
4110,37,Female,Germany,2.1,199.7,6.7,Good,19.6,79,Low,12.5,None,Student,0,1
4111,48,Male,South Korea,7.3,693.8,4.7,Poor,27.7,99,High,6.1,Mild,Student,0,0
4112,25,Male,China,1.4,133.1,7.3,Good,23.2,64,Low,12.0,None,Healthcare,0,0
4113,53,Male,Brazil,2.7,258.3,6.2,Good,22.1,60,Low,13.1,Mild,Other,0,0
4114,18,Male,Brazil,4.3,407.2,6.8,Good,20.4,82,Low,7.1,None,Office,0,0
4115,54,Male,India,3.3,311.8,6.7,Good,26.7,62,Low,3.4,Mild,Office,0,1
4116,30,Female,Sweden,2.4,226.4,6.8,Good,22.4,66,Low,5.7,None,Office,0,1
4117,32,Female,USA,1.2,110.1,6.8,Good,19.4,89,Low,7.5,None,Office,0,0
4118,18,Female,South Korea,4.7,443.0,4.2,Poor,24.1,68,High,6.8,Mild,Other,0,0
4119,29,Male,India,4.2,395.5,4.6,Poor,26.0,80,High,0.1,Mild,Other,0,0
4120,22,Female,USA,4.6,439.6,8.5,Excellent,23.3,86,Low,1.3,None,Healthcare,0,0
4121,27,Female,China,4.5,425.4,8.0,Good,21.9,66,Low,6.8,None,Student,0,0
4122,33,Female,Belgium,0.4,34.1,6.6,Good,24.2,67,Low,6.6,None,Other,0,0
4123,46,Female,Italy,2.0,187.4,7.2,Good,18.5,69,Low,13.4,None,Other,1,0
4124,37,Male,Italy,3.0,281.8,4.6,Poor,26.6,73,High,4.2,Mild,Student,0,1
4125,38,Female,Sweden,1.1,102.0,5.1,Fair,25.5,60,Medium,14.7,Mild,Service,0,1
4126,21,Female,Netherlands,1.6,147.7,3.2,Poor,28.1,66,High,14.6,Mild,Office,0,0
4127,24,Male,Sweden,3.5,328.8,5.2,Fair,20.6,50,Medium,2.8,Mild,Other,0,1
4128,56,Male,Brazil,3.4,322.9,5.7,Fair,17.7,60,Medium,0.4,Moderate,Other,0,0
4129,26,Male,USA,5.1,488.4,7.1,Good,18.0,77,Low,3.0,None,Office,1,0
4130,54,Male,China,1.4,134.7,6.5,Good,20.0,79,Low,6.3,Mild,Other,0,0
4131,32,Male,Belgium,1.1,105.0,7.2,Good,19.2,78,Low,5.5,None,Student,0,0
4132,35,Female,France,5.6,536.5,5.7,Fair,26.1,89,Medium,7.1,Mild,Other,1,0
4133,47,Female,Japan,2.1,202.5,6.5,Good,22.0,81,Low,10.4,None,Healthcare,0,0
4134,50,Female,Sweden,0.0,0.0,6.6,Good,23.0,65,Low,7.8,None,Other,0,0
4135,33,Female,Sweden,3.1,294.5,6.8,Good,21.6,79,Low,5.2,None,Office,0,0
4136,30,Female,Finland,0.9,84.3,3.6,Poor,23.3,58,High,10.1,Mild,Student,0,0
4137,34,Female,Germany,1.9,182.5,6.7,Good,26.7,61,Low,5.0,None,Other,1,0
4138,39,Female,Mexico,0.4,35.5,6.8,Good,30.2,72,Low,5.3,Mild,Service,0,0
4139,45,Male,Australia,4.2,395.9,8.4,Excellent,27.6,62,Low,5.1,None,Student,0,0
4140,35,Female,Switzerland,3.1,295.7,6.8,Good,24.1,54,Low,4.6,None,Student,0,0
4141,42,Female,Sweden,0.6,53.7,8.8,Excellent,22.8,73,Low,10.5,None,Service,0,0
4142,54,Male,India,2.8,265.8,5.6,Fair,28.8,81,Medium,2.6,Moderate,Other,0,0
4143,39,Female,UK,3.5,333.1,5.6,Fair,20.2,82,Medium,11.6,Mild,Healthcare,0,1
4144,38,Female,Spain,2.2,207.3,8.7,Excellent,23.9,85,Low,13.8,None,Office,0,1
4145,18,Female,Canada,5.0,473.4,6.0,Fair,19.3,82,Medium,4.1,Mild,Student,0,0
4146,18,Male,France,4.1,385.9,5.4,Fair,28.7,66,Medium,10.6,Mild,Healthcare,1,0
4147,39,Female,Mexico,1.8,168.8,6.8,Good,29.6,69,Low,9.1,None,Office,0,0
4148,33,Male,UK,2.2,205.2,6.9,Good,18.8,67,Low,4.5,None,Office,0,0
4149,28,Male,Netherlands,0.6,61.3,8.4,Excellent,18.5,69,Low,3.5,None,Other,0,1
4150,37,Male,Belgium,0.0,0.0,6.0,Good,22.0,74,Low,14.2,None,Healthcare,0,0
4151,34,Female,Mexico,1.2,113.5,7.7,Good,26.2,66,Low,10.5,None,Student,0,1
4152,48,Female,USA,1.4,137.4,8.9,Excellent,20.8,62,Low,9.7,None,Student,1,0
4153,36,Male,Japan,4.5,426.5,7.7,Good,21.0,72,Low,15.0,None,Other,0,0
4154,26,Female,Spain,0.4,41.6,9.1,Excellent,26.5,89,Low,5.3,None,Student,1,0
4155,46,Male,Belgium,2.6,251.4,6.6,Good,25.0,81,Low,3.4,None,Office,1,1
4156,32,Male,Switzerland,2.8,268.1,7.3,Good,23.6,60,Low,4.9,None,Other,0,0
4157,41,Female,Japan,1.4,136.7,5.9,Fair,24.2,63,Medium,2.6,Mild,Office,0,1
4158,29,Male,Canada,4.0,382.8,9.4,Excellent,25.0,81,Low,13.9,None,Office,1,0
4159,27,Female,UK,2.0,193.0,7.8,Good,27.2,72,Low,10.5,None,Service,0,1
4160,36,Male,India,1.6,153.0,7.0,Good,27.3,62,Low,9.1,None,Service,0,1
4161,35,Male,South Korea,5.0,471.5,6.2,Good,21.9,82,Low,12.1,None,Other,0,0
4162,40,Female,USA,1.2,117.5,4.3,Poor,23.5,68,High,7.7,Mild,Office,0,1
4163,31,Female,Italy,3.7,348.4,3.8,Poor,21.5,73,High,2.9,Mild,Other,0,0
4164,18,Male,China,1.6,156.6,5.4,Fair,25.6,66,Medium,2.3,Mild,Service,1,1
4165,29,Female,Canada,0.7,64.3,6.2,Good,20.0,57,Low,7.8,None,Other,0,1
4166,44,Female,Sweden,2.0,190.4,7.5,Good,19.4,64,Low,12.1,None,Healthcare,0,0
4167,31,Female,Sweden,6.0,573.2,7.1,Good,22.1,77,Low,3.3,None,Other,0,1
4168,32,Male,Italy,0.3,31.8,6.9,Good,15.6,65,Low,10.6,None,Healthcare,0,0
4169,46,Female,UK,1.4,137.7,7.2,Good,15.0,64,Low,3.7,None,Other,0,0
4170,26,Female,USA,4.3,412.6,6.1,Good,25.4,59,Low,6.5,None,Healthcare,0,0
4171,18,Male,Italy,1.1,103.6,8.2,Excellent,25.8,71,Low,0.9,None,Healthcare,0,0
4172,33,Female,USA,1.6,151.7,5.9,Fair,20.0,71,Medium,7.5,Mild,Healthcare,0,0
4173,29,Female,France,2.7,256.7,6.2,Good,23.2,62,Low,2.5,None,Healthcare,0,0
4174,23,Female,India,2.2,205.5,6.9,Good,29.8,71,Low,12.7,None,Student,0,1
4175,32,Female,Mexico,3.3,310.0,5.6,Fair,23.2,72,Medium,14.4,Mild,Student,0,0
4176,40,Female,Norway,2.1,200.1,4.9,Poor,28.8,73,High,1.3,Mild,Other,0,0
4177,34,Female,UK,2.5,238.3,7.1,Good,21.1,72,Low,8.0,None,Service,0,0
4178,38,Female,UK,2.3,218.9,9.4,Excellent,24.5,64,Low,10.6,None,Office,0,1
4179,56,Female,Germany,1.3,121.0,6.9,Good,25.7,73,Low,1.0,Mild,Student,0,1
4180,30,Female,South Korea,0.0,0.0,7.9,Good,21.8,69,Low,8.3,None,Healthcare,0,1
4181,38,Male,Japan,5.4,511.4,5.8,Fair,22.5,74,Medium,14.1,Mild,Student,0,0
4182,28,Male,Spain,1.3,119.4,7.3,Good,23.1,77,Low,7.9,None,Healthcare,0,1
4183,24,Female,Canada,1.3,128.0,5.1,Fair,20.5,79,Medium,9.3,Mild,Service,0,0
4184,27,Male,Brazil,2.8,265.8,5.3,Fair,24.6,76,Medium,4.9,Mild,Student,1,0
4185,29,Female,Norway,0.9,90.1,7.6,Good,28.6,74,Low,9.2,None,Office,0,0
4186,39,Female,Mexico,3.9,368.0,6.1,Good,28.5,84,Low,13.3,None,Office,1,0
4187,63,Female,USA,2.9,273.8,4.6,Poor,31.6,63,High,4.9,Severe,Student,1,0
4188,26,Other,Spain,2.1,198.8,6.2,Good,22.1,60,Low,11.6,None,Student,1,0
4189,30,Female,Finland,1.8,166.3,7.8,Good,21.7,83,Low,8.6,None,Office,1,1
4190,34,Male,Canada,0.7,66.4,6.1,Good,26.3,81,Low,3.9,None,Service,0,0
4191,39,Female,USA,3.0,282.1,3.8,Poor,29.4,80,High,5.9,Mild,Other,1,0
4192,38,Male,Switzerland,2.7,256.9,8.7,Excellent,28.2,68,Low,5.4,None,Student,0,0
4193,50,Male,China,1.5,145.4,6.9,Good,26.5,86,Low,7.0,None,Student,0,1
4194,18,Male,Belgium,3.3,312.2,8.5,Excellent,20.6,63,Low,1.7,None,Office,0,0
4195,18,Male,Finland,4.9,462.7,6.7,Good,20.9,66,Low,2.3,None,Office,1,0
4196,29,Male,Norway,2.5,239.6,5.8,Fair,26.0,59,Medium,5.7,Mild,Office,0,0
4197,48,Male,Canada,2.1,202.3,7.1,Good,25.6,65,Low,8.4,None,Office,0,0
4198,18,Female,Brazil,1.1,100.6,7.2,Good,23.3,71,Low,9.3,None,Student,0,0
4199,18,Female,UK,2.3,214.8,8.9,Excellent,25.8,66,Low,13.7,None,Healthcare,0,0
4200,41,Male,China,1.9,177.7,8.3,Excellent,24.3,76,Low,8.5,None,Office,0,0
4201,37,Male,UK,0.9,88.4,7.7,Good,27.0,73,Low,10.9,None,Service,0,0
4202,21,Female,UK,3.2,301.8,7.0,Good,21.7,77,Low,7.2,None,Service,0,0
4203,23,Female,Mexico,2.9,276.5,6.7,Good,18.3,82,Low,7.9,None,Student,1,0
4204,23,Female,USA,2.6,248.4,5.9,Fair,18.9,83,Medium,8.8,Mild,Office,1,0
4205,36,Male,France,2.0,185.9,8.0,Good,21.1,71,Low,7.8,None,Other,1,1
4206,27,Female,Brazil,3.9,368.8,5.9,Fair,21.7,73,Medium,4.6,Mild,Office,1,0
4207,40,Female,India,0.0,0.0,6.7,Good,23.9,63,Low,14.7,None,Student,1,1
4208,18,Female,Belgium,0.0,0.0,7.1,Good,20.6,90,Low,9.3,None,Other,0,1
4209,24,Male,Japan,2.8,269.6,5.8,Fair,19.6,58,Medium,5.2,Mild,Student,0,0
4210,21,Male,Belgium,4.4,417.7,5.8,Fair,17.9,62,Medium,12.0,Mild,Healthcare,0,0
4211,31,Male,Italy,2.7,254.7,6.6,Good,24.7,66,Low,2.5,None,Service,0,1
4212,28,Male,China,2.7,255.6,6.5,Good,23.9,50,Low,14.9,None,Student,0,0
4213,44,Female,Australia,0.9,88.3,8.6,Excellent,24.8,68,Low,11.8,None,Office,0,0
4214,18,Female,Norway,0.0,0.0,5.2,Fair,22.1,70,Medium,1.5,Mild,Office,0,0
4215,35,Female,Italy,1.0,98.6,7.5,Good,31.1,63,Low,12.7,Mild,Student,0,0
4216,41,Female,UK,3.5,329.3,5.9,Fair,19.3,72,Medium,3.9,Mild,Service,1,1
4217,57,Female,Belgium,0.1,13.4,6.6,Good,24.2,56,Low,9.6,Mild,Student,0,1
4218,29,Male,Germany,1.2,116.1,4.0,Poor,15.2,60,High,2.5,Mild,Student,0,0
4219,38,Female,Canada,0.2,14.3,6.1,Good,25.6,75,Low,10.7,None,Office,0,0
4220,18,Female,Finland,1.1,108.5,7.5,Good,20.9,75,Low,11.4,None,Office,0,0
4221,18,Male,Mexico,4.2,399.9,5.5,Fair,18.6,74,Medium,12.8,Mild,Office,0,0
4222,45,Male,Switzerland,1.6,151.2,6.2,Good,25.8,77,Low,7.3,None,Service,0,0
4223,34,Female,France,3.9,367.8,6.1,Good,19.1,71,Low,8.3,None,Office,0,0
4224,49,Female,Sweden,1.6,154.7,7.0,Good,20.6,76,Low,3.2,None,Other,0,0
4225,18,Male,India,4.7,442.9,8.3,Excellent,27.9,67,Low,7.7,None,Other,0,1
4226,41,Female,Canada,3.0,287.2,6.5,Good,24.6,59,Low,8.0,None,Student,0,0
4227,57,Female,South Korea,1.8,171.8,10.0,Excellent,22.4,71,Low,12.1,Mild,Student,0,0
4228,40,Female,Canada,2.3,214.4,9.8,Excellent,24.5,80,Low,10.7,None,Healthcare,0,0
4229,38,Male,China,0.3,32.1,8.9,Excellent,22.3,68,Low,10.5,None,Other,1,0
4230,35,Male,Norway,1.7,164.7,8.0,Good,26.6,63,Low,0.4,None,Service,1,0
4231,18,Female,Switzerland,4.6,439.9,6.7,Good,23.3,76,Low,8.2,None,Student,0,0
4232,51,Female,Belgium,3.0,288.7,8.4,Excellent,20.2,56,Low,14.9,Mild,Student,1,0
4233,27,Male,Italy,0.0,0.0,9.5,Excellent,18.0,75,Low,11.3,None,Service,0,0
4234,41,Male,China,2.2,213.1,6.8,Good,28.5,58,Low,12.5,None,Other,0,0
4235,18,Male,France,2.8,261.4,6.9,Good,18.3,74,Low,7.4,None,Healthcare,0,0
4236,20,Male,Switzerland,3.6,344.5,7.4,Good,27.0,83,Low,12.5,None,Service,0,1
4237,52,Female,Italy,1.9,184.1,6.6,Good,20.5,60,Low,12.3,Mild,Healthcare,0,0
4238,30,Female,South Korea,2.3,220.4,8.4,Excellent,21.3,88,Low,8.0,None,Healthcare,1,0
4239,52,Male,Finland,4.0,384.7,4.9,Poor,29.0,81,High,8.5,Moderate,Student,0,0
4240,34,Male,Belgium,2.1,202.8,7.1,Good,21.3,77,Low,0.8,None,Other,0,0
4241,18,Female,France,1.4,133.7,5.4,Fair,22.9,66,Medium,12.8,Mild,Healthcare,0,0
4242,45,Male,Belgium,3.8,356.6,6.4,Good,28.6,82,Low,2.0,None,Service,0,1
4243,27,Female,Germany,3.8,359.3,5.5,Fair,26.4,72,Medium,4.5,Mild,Other,0,1
4244,43,Female,Italy,0.0,0.0,6.9,Good,26.6,72,Low,11.2,None,Office,0,0
4245,35,Female,Australia,2.9,274.4,4.6,Poor,20.7,88,High,4.5,Mild,Office,0,1
4246,18,Male,China,1.0,93.9,7.6,Good,20.5,73,Low,7.6,None,Service,0,1
4247,36,Male,Netherlands,3.1,294.5,6.1,Good,26.2,73,Low,2.3,None,Office,0,0
4248,61,Male,France,3.9,373.2,7.7,Good,24.0,72,Low,4.4,Mild,Other,1,1
4249,40,Male,Australia,3.4,325.7,6.4,Good,23.8,64,Low,11.0,None,Other,0,0
4250,34,Male,USA,3.6,339.8,7.5,Good,19.1,76,Low,6.3,None,Student,0,1
4251,47,Female,India,1.5,143.4,6.2,Good,21.2,68,Low,8.4,None,Other,0,0
4252,37,Female,Netherlands,1.8,172.3,7.7,Good,17.1,84,Low,5.4,None,Healthcare,0,1
4253,37,Female,Spain,3.4,322.0,9.0,Excellent,24.5,84,Low,14.0,None,Student,0,0
4254,21,Male,South Korea,2.6,247.6,5.7,Fair,25.7,67,Medium,12.8,Mild,Healthcare,0,1
4255,37,Female,Italy,0.2,17.6,7.9,Good,27.7,68,Low,1.7,None,Other,0,0
4256,47,Female,Spain,3.8,364.5,4.9,Poor,18.2,60,High,14.7,Mild,Student,0,0
4257,24,Male,India,0.3,29.0,6.8,Good,26.7,50,Low,12.1,None,Service,0,0
4258,52,Female,South Korea,3.0,283.8,4.3,Poor,23.7,76,High,2.4,Moderate,Service,0,0
4259,33,Male,Switzerland,2.8,267.0,7.4,Good,28.1,66,Low,0.6,None,Service,0,1
4260,24,Male,USA,4.3,405.9,5.6,Fair,16.8,78,Medium,13.4,Mild,Student,1,0
4261,46,Male,Japan,2.1,203.9,7.6,Good,30.3,62,Low,11.4,Mild,Other,0,1
4262,31,Female,Germany,0.0,0.0,7.4,Good,23.1,67,Low,4.1,None,Other,1,1
4263,44,Female,UK,2.7,257.9,6.3,Good,24.8,70,Low,14.3,None,Student,0,0
4264,31,Male,Norway,3.0,284.9,7.5,Good,20.7,70,Low,13.6,None,Student,0,0
4265,34,Male,Netherlands,4.1,390.5,7.7,Good,20.0,53,Low,3.2,None,Office,0,1
4266,40,Male,Italy,1.7,162.3,6.2,Good,26.0,78,Low,6.0,None,Office,0,0
4267,38,Male,Norway,3.6,337.7,7.8,Good,22.6,70,Low,0.7,None,Student,1,0
4268,18,Male,USA,3.8,365.3,6.2,Good,30.5,59,Low,4.6,Mild,Service,0,1
4269,21,Male,Finland,1.4,133.2,3.5,Poor,22.8,82,High,7.4,Mild,Other,1,0
4270,46,Male,France,3.0,282.7,6.8,Good,27.3,83,Low,1.0,None,Service,0,0
4271,33,Female,South Korea,0.3,27.7,6.2,Good,23.1,71,Low,5.1,None,Healthcare,0,0
4272,28,Female,Mexico,3.3,317.9,6.0,Good,15.0,70,Low,2.3,None,Healthcare,0,0
4273,18,Female,Germany,2.8,269.2,4.2,Poor,22.3,68,High,13.9,Mild,Healthcare,0,1
4274,22,Male,Finland,0.6,61.0,7.3,Good,27.0,59,Low,12.4,None,Service,1,0
4275,18,Male,Spain,1.9,180.9,5.9,Fair,24.6,70,Medium,11.5,Mild,Office,0,1
4276,33,Male,Belgium,4.1,392.1,5.8,Fair,22.0,52,Medium,11.6,Mild,Healthcare,0,0
4277,27,Male,Switzerland,2.8,266.0,7.8,Good,24.9,82,Low,0.2,None,Student,0,0
4278,23,Male,Belgium,1.5,140.2,4.2,Poor,29.1,63,High,9.0,Mild,Other,0,1
4279,34,Female,Canada,1.3,128.1,7.2,Good,28.2,55,Low,8.9,None,Office,0,0
4280,39,Female,India,4.0,380.5,6.9,Good,18.2,59,Low,14.9,None,Healthcare,0,0
4281,60,Male,France,1.8,167.5,7.0,Good,24.1,70,Low,9.5,Mild,Other,1,0
4282,18,Male,Italy,2.8,268.9,7.9,Good,24.7,75,Low,9.8,None,Other,0,0
4283,48,Female,Italy,1.9,178.7,7.8,Good,19.6,67,Low,5.7,None,Office,0,1
4284,46,Male,France,0.0,0.0,7.2,Good,20.8,63,Low,7.5,None,Service,0,0
4285,25,Female,Netherlands,1.5,144.4,5.9,Fair,20.1,61,Medium,5.9,Mild,Other,0,0
4286,37,Female,UK,4.2,399.7,5.8,Fair,20.4,81,Medium,13.7,Mild,Office,0,0
4287,29,Female,Belgium,5.7,543.0,6.1,Good,17.9,78,Low,3.0,None,Healthcare,1,0
4288,37,Male,Belgium,1.3,127.3,4.0,Poor,23.2,73,High,2.3,Mild,Office,0,0
4289,53,Male,Spain,3.0,285.0,5.9,Fair,26.8,59,Medium,15.0,Moderate,Service,1,0
4290,42,Male,Finland,6.0,569.3,7.5,Good,21.5,68,Low,14.0,None,Healthcare,0,1
4291,41,Female,India,4.3,408.6,5.9,Fair,30.5,67,Medium,8.9,Moderate,Service,0,0
4292,29,Female,South Korea,0.7,64.8,7.9,Good,29.1,87,Low,11.6,None,Other,1,0
4293,18,Female,Canada,2.1,199.8,7.7,Good,22.7,72,Low,1.7,None,Office,0,1
4294,32,Female,Netherlands,2.9,274.2,8.0,Excellent,23.0,65,Low,11.5,None,Student,0,1
4295,49,Female,France,4.4,418.9,6.0,Fair,29.1,89,Medium,7.0,Mild,Service,0,0
4296,18,Female,UK,0.7,66.0,6.6,Good,21.2,78,Low,12.4,None,Office,1,0
4297,22,Female,Japan,3.7,347.8,6.8,Good,25.0,79,Low,7.7,None,Student,1,0
4298,36,Female,Germany,3.6,337.8,5.5,Fair,27.7,84,Medium,10.9,Mild,Student,0,0
4299,23,Female,Germany,2.0,194.2,5.9,Fair,22.0,80,Medium,5.1,Mild,Office,1,0
4300,25,Male,Sweden,5.7,543.0,7.3,Good,23.7,68,Low,11.0,None,Healthcare,1,0
4301,29,Female,India,1.1,107.6,6.0,Fair,19.0,68,Medium,4.1,Mild,Student,0,0
4302,18,Male,Australia,3.0,289.4,7.2,Good,19.4,75,Low,14.3,None,Office,0,1
4303,23,Male,Switzerland,2.8,265.9,7.1,Good,30.0,72,Low,10.1,Mild,Office,0,0
4304,43,Female,UK,3.1,291.1,6.5,Good,25.5,53,Low,7.2,None,Healthcare,0,1
4305,19,Female,Belgium,4.2,402.2,6.7,Good,26.8,58,Low,9.1,None,Office,0,1
4306,18,Female,Italy,0.5,46.2,7.7,Good,25.6,70,Low,9.2,None,Service,1,1
4307,27,Male,France,2.7,260.1,8.3,Excellent,24.5,53,Low,12.8,None,Service,0,0
4308,43,Female,Italy,5.5,518.2,5.1,Fair,21.9,59,Medium,8.4,Mild,Healthcare,0,1
4309,32,Male,Switzerland,3.7,351.2,5.3,Fair,31.0,66,Medium,8.5,Moderate,Other,0,0
4310,29,Female,Spain,1.5,143.3,6.7,Good,18.9,71,Low,8.8,None,Office,0,1
4311,35,Male,Switzerland,1.3,123.5,7.2,Good,19.2,76,Low,11.6,None,Service,0,0
4312,18,Female,Japan,3.3,311.3,6.8,Good,21.5,80,Low,7.4,None,Service,1,0
4313,40,Female,France,1.8,167.8,8.8,Excellent,25.6,73,Low,3.2,None,Office,0,1
4314,39,Male,Canada,2.3,217.1,5.5,Fair,24.7,80,Medium,6.3,Mild,Office,1,0
4315,30,Female,Mexico,1.4,131.6,4.8,Poor,20.7,63,High,5.6,Mild,Student,0,0
4316,47,Female,Switzerland,5.6,533.0,6.8,Good,22.6,62,Low,0.9,None,Healthcare,0,0
4317,21,Male,South Korea,3.0,286.9,6.8,Good,22.2,69,Low,12.0,None,Student,0,1
4318,48,Male,Finland,2.6,245.0,6.4,Good,24.9,77,Low,12.5,None,Healthcare,0,1
4319,36,Male,France,0.1,4.9,8.0,Good,22.1,78,Low,4.0,None,Student,0,1
4320,30,Male,Germany,1.3,119.9,4.9,Poor,30.7,83,High,4.9,Moderate,Healthcare,0,0
4321,34,Female,South Korea,2.4,228.8,4.6,Poor,22.8,76,High,4.8,Mild,Office,0,0
4322,33,Female,Spain,2.4,229.0,4.2,Poor,22.9,90,High,7.8,Mild,Healthcare,0,1
4323,49,Male,Finland,5.0,474.2,5.4,Fair,26.8,80,Medium,7.0,Mild,Service,0,1
4324,22,Male,India,2.7,255.1,8.1,Excellent,26.1,70,Low,13.3,None,Other,0,0
4325,25,Female,France,4.1,385.5,4.6,Poor,28.5,81,High,7.4,Mild,Service,0,0
4326,47,Male,India,2.8,263.1,6.6,Good,27.8,86,Low,2.7,None,Healthcare,0,0
4327,27,Male,Spain,3.8,360.2,6.8,Good,23.1,57,Low,11.2,None,Healthcare,0,1
4328,45,Male,Finland,0.0,0.0,8.9,Excellent,28.6,65,Low,13.0,None,Healthcare,0,1
4329,55,Female,Netherlands,0.6,58.4,5.9,Fair,22.4,60,Medium,9.1,Moderate,Other,1,0
4330,30,Female,Australia,3.9,369.1,5.3,Fair,19.6,70,Medium,11.5,Mild,Other,0,0
4331,43,Female,Finland,4.7,450.8,7.5,Good,23.8,66,Low,3.4,None,Student,1,0
4332,21,Male,Finland,0.0,0.0,5.7,Fair,25.5,75,Medium,13.5,Mild,Healthcare,0,0
4333,44,Female,Norway,2.5,239.2,8.1,Excellent,24.9,83,Low,1.1,None,Student,1,1
4334,37,Female,Finland,0.3,23.8,7.4,Good,25.8,82,Low,13.5,None,Service,0,0
4335,40,Female,Japan,1.5,142.9,4.7,Poor,20.8,79,High,5.5,Mild,Other,1,0
4336,27,Male,Brazil,0.0,0.0,7.8,Good,26.4,73,Low,1.3,None,Office,0,0
4337,18,Female,Japan,2.3,220.6,7.2,Good,29.5,62,Low,2.7,None,Other,0,0
4338,41,Female,Mexico,2.2,211.2,6.4,Good,20.9,83,Low,14.8,None,Student,0,0
4339,18,Male,Italy,2.2,209.5,5.9,Fair,27.6,84,Medium,5.6,Mild,Office,0,0
4340,31,Male,Spain,2.1,195.8,8.6,Excellent,25.5,50,Low,11.6,None,Office,0,0
4341,46,Female,Netherlands,3.5,328.0,3.5,Poor,26.7,93,High,7.2,Mild,Office,0,0
4342,37,Female,Canada,5.1,481.8,4.4,Poor,20.8,57,High,8.7,Mild,Other,0,1
4343,58,Female,Netherlands,0.7,65.3,6.3,Good,24.6,62,Low,9.5,Mild,Healthcare,1,0
4344,47,Female,India,1.2,117.7,7.4,Good,24.1,76,Low,9.0,None,Office,0,1
4345,27,Female,Switzerland,2.7,255.9,6.6,Good,23.9,60,Low,15.0,None,Service,1,0
4346,35,Male,Sweden,2.1,199.3,5.8,Fair,24.9,70,Medium,8.3,Mild,Service,0,0
4347,34,Male,Brazil,2.0,192.4,7.3,Good,26.1,59,Low,9.3,None,Office,0,0
4348,18,Female,Netherlands,0.5,50.5,4.8,Poor,29.6,77,High,5.2,Mild,Service,1,1
4349,23,Male,Netherlands,1.8,172.6,7.2,Good,28.1,68,Low,3.6,None,Service,1,0
4350,28,Male,France,1.8,174.0,6.4,Good,27.7,66,Low,6.7,None,Service,0,1
4351,18,Female,USA,2.8,268.7,7.4,Good,29.3,78,Low,9.2,None,Student,1,0
4352,35,Female,Belgium,1.1,108.2,7.4,Good,24.8,66,Low,4.7,None,Student,0,1
4353,32,Male,Germany,3.8,364.7,7.3,Good,20.5,82,Low,7.5,None,Service,0,0
4354,18,Male,South Korea,0.6,57.3,6.2,Good,24.7,63,Low,12.2,None,Healthcare,0,1
4355,39,Male,Italy,4.8,459.0,5.4,Fair,25.8,63,Medium,6.4,Mild,Service,0,0
4356,43,Male,South Korea,1.3,121.0,7.0,Good,27.3,72,Low,8.7,None,Student,1,0
4357,37,Female,India,4.7,443.0,4.6,Poor,26.2,76,High,13.9,Mild,Office,0,1
4358,31,Male,Sweden,1.4,130.6,9.5,Excellent,23.3,69,Low,9.3,None,Service,1,0
4359,42,Female,Switzerland,3.7,355.9,8.4,Excellent,28.8,66,Low,4.7,None,Other,0,1
4360,43,Female,USA,2.0,185.5,4.8,Poor,25.2,60,High,8.5,Mild,Student,0,0
4361,38,Female,France,2.6,249.0,6.9,Good,23.2,73,Low,12.9,None,Student,0,1
4362,25,Male,Belgium,3.4,323.3,7.9,Good,17.1,73,Low,2.3,None,Student,0,0
4363,38,Female,Brazil,2.0,190.0,6.2,Good,25.8,68,Low,12.4,None,Office,0,1
4364,49,Male,Switzerland,0.0,0.0,6.1,Good,19.3,87,Low,1.5,None,Other,0,0
4365,27,Male,Sweden,1.5,146.9,8.2,Excellent,20.0,63,Low,14.4,None,Other,1,1
4366,60,Female,India,1.7,165.5,8.4,Excellent,25.8,91,Low,2.4,Mild,Other,0,0
4367,28,Male,Sweden,5.1,483.8,4.3,Poor,25.9,69,High,7.0,Mild,Student,0,1
4368,35,Female,Sweden,2.4,230.8,6.8,Good,19.5,82,Low,14.3,None,Service,0,0
4369,26,Male,Netherlands,2.8,261.8,6.4,Good,22.4,74,Low,3.1,None,Service,0,0
4370,37,Male,UK,2.3,221.0,4.5,Poor,23.7,83,High,9.6,Mild,Other,1,0
4371,18,Female,Mexico,2.8,268.6,4.6,Poor,27.3,92,High,11.1,Mild,Student,0,1
4372,28,Female,Brazil,0.6,61.1,5.8,Fair,21.7,73,Medium,0.6,Mild,Service,0,1
4373,21,Female,Spain,1.5,139.6,6.8,Good,27.1,62,Low,8.9,None,Healthcare,0,0
4374,36,Female,Canada,3.5,331.9,8.0,Excellent,20.6,56,Low,11.4,None,Service,0,0
4375,46,Male,UK,2.2,205.7,3.3,Poor,18.9,66,High,14.5,Mild,Service,1,0
4376,42,Female,USA,2.3,223.1,6.8,Good,28.3,83,Low,2.1,None,Healthcare,0,1
4377,18,Male,Germany,2.5,234.6,5.5,Fair,29.8,84,Medium,13.0,Mild,Service,0,0
4378,59,Female,India,3.5,335.6,7.1,Good,28.7,84,Low,9.4,Mild,Office,1,0
4379,38,Female,Spain,1.5,146.2,8.0,Good,26.8,69,Low,10.9,None,Student,1,0
4380,25,Female,France,2.6,251.7,7.9,Good,24.4,81,Low,11.1,None,Office,0,0
4381,36,Female,Mexico,0.0,0.0,6.9,Good,26.3,75,Low,10.9,None,Office,0,1
4382,37,Male,Germany,0.1,7.8,6.6,Good,26.1,61,Low,13.8,None,Student,0,1
4383,26,Female,Belgium,2.1,202.1,8.3,Excellent,31.1,66,Low,1.8,Mild,Office,0,0
4384,37,Male,Italy,0.8,80.0,6.5,Good,21.1,88,Low,4.3,None,Service,0,0
4385,27,Male,South Korea,4.0,377.6,6.5,Good,21.7,57,Low,13.5,None,Other,0,0
4386,30,Male,India,0.9,85.3,6.3,Good,20.4,80,Low,6.8,None,Other,0,0
4387,26,Female,Canada,2.3,219.3,7.1,Good,29.4,60,Low,6.1,None,Office,1,0
4388,18,Male,Germany,3.7,351.8,4.8,Poor,24.0,73,High,8.1,Mild,Other,0,0
4389,36,Male,Belgium,3.2,307.8,6.2,Good,21.2,87,Low,4.7,None,Office,1,0
4390,42,Female,South Korea,1.7,159.9,6.9,Good,16.3,75,Low,9.0,None,Student,0,0
4391,41,Female,Germany,1.9,181.9,8.0,Good,20.7,70,Low,13.2,None,Healthcare,0,0
4392,44,Male,UK,3.2,305.1,6.3,Good,25.0,69,Low,5.9,None,Office,0,1
4393,38,Male,Switzerland,3.7,352.5,3.5,Poor,17.0,85,High,3.1,Mild,Healthcare,0,0
4394,28,Female,Belgium,4.7,450.8,5.6,Fair,20.4,79,Medium,2.3,Mild,Service,0,1
4395,45,Female,India,3.7,352.2,8.2,Excellent,24.1,83,Low,10.5,None,Student,0,0
4396,18,Male,Mexico,3.5,335.2,6.7,Good,23.2,82,Low,1.1,None,Other,0,0
4397,24,Female,China,3.0,286.3,5.7,Fair,19.3,80,Medium,1.1,Mild,Office,0,0
4398,23,Female,Germany,2.7,254.7,5.4,Fair,20.8,74,Medium,14.4,Mild,Office,0,0
4399,47,Female,India,1.9,184.6,7.2,Good,23.0,64,Low,10.0,None,Service,1,0
4400,46,Female,Switzerland,3.2,308.5,5.7,Fair,25.4,76,Medium,2.8,Mild,Student,0,0
4401,40,Female,UK,2.1,203.8,6.7,Good,26.3,68,Low,9.5,None,Healthcare,1,1
4402,47,Female,Brazil,3.5,336.7,5.5,Fair,23.5,55,Medium,8.7,Mild,Student,0,1
4403,24,Male,Spain,3.6,340.4,5.4,Fair,29.2,88,Medium,11.7,Mild,Service,1,1
4404,39,Female,Netherlands,3.2,304.5,6.1,Good,22.1,61,Low,6.4,None,Healthcare,1,1
4405,33,Female,Switzerland,1.6,148.8,6.6,Good,19.8,67,Low,0.3,None,Healthcare,0,0
4406,45,Male,Finland,2.4,224.9,6.6,Good,16.8,62,Low,6.6,None,Office,0,1
4407,33,Female,Belgium,4.1,391.9,6.0,Good,26.5,63,Low,10.4,None,Office,1,1
4408,30,Male,Australia,0.0,0.0,8.3,Excellent,23.6,59,Low,14.4,None,Student,0,0
4409,41,Male,Mexico,2.8,264.6,6.1,Good,18.1,66,Low,12.6,None,Healthcare,0,1
4410,45,Male,Netherlands,3.6,345.4,8.2,Excellent,25.0,74,Low,0.3,None,Office,0,1
4411,26,Female,India,3.2,299.4,6.3,Good,27.5,74,Low,3.7,None,Healthcare,0,0
4412,34,Female,UK,5.6,532.4,5.4,Fair,25.0,81,Medium,8.2,Mild,Healthcare,0,0
4413,22,Male,Brazil,0.1,7.8,7.3,Good,21.4,65,Low,0.8,None,Other,0,0
4414,18,Female,UK,0.7,68.8,7.8,Good,19.5,50,Low,8.9,None,Office,0,0
4415,37,Male,Italy,2.8,263.5,5.6,Fair,25.0,82,Medium,6.4,Mild,Office,0,1
4416,42,Female,Brazil,3.9,370.3,4.7,Poor,24.1,81,High,10.0,Mild,Office,0,0
4417,38,Female,Sweden,2.6,245.7,7.8,Good,33.7,65,Low,3.3,Mild,Other,0,0
4418,18,Female,Sweden,4.5,425.3,7.9,Good,20.0,80,Low,2.8,None,Service,0,0
4419,30,Female,Japan,1.6,155.2,7.4,Good,25.6,73,Low,13.7,None,Other,1,1
4420,18,Male,Japan,2.1,198.6,5.8,Fair,21.8,73,Medium,5.2,Mild,Service,0,0
4421,51,Female,UK,3.6,346.2,6.3,Good,21.3,75,Low,14.6,Mild,Student,1,1
4422,21,Female,Canada,2.0,187.1,5.3,Fair,19.6,60,Medium,2.4,Mild,Office,1,0
4423,50,Male,India,3.9,371.0,7.7,Good,28.1,65,Low,11.3,None,Service,0,0
4424,46,Female,Belgium,3.5,336.5,6.7,Good,28.0,75,Low,3.0,None,Healthcare,1,0
4425,24,Female,UK,1.9,178.2,7.3,Good,27.5,70,Low,10.7,None,Service,0,0
4426,21,Male,South Korea,2.9,280.2,6.7,Good,22.2,71,Low,3.9,None,Service,1,1
4427,39,Female,France,1.8,169.4,6.7,Good,26.0,81,Low,5.0,None,Healthcare,1,0
4428,24,Female,South Korea,1.2,110.4,7.1,Good,29.0,50,Low,9.6,None,Student,1,0
4429,36,Female,Spain,1.9,181.7,6.7,Good,15.0,82,Low,0.5,None,Office,0,1
4430,29,Male,Switzerland,2.2,211.9,8.1,Excellent,26.0,72,Low,3.7,None,Other,0,0
4431,18,Male,Brazil,2.7,253.4,4.9,Poor,27.6,70,High,12.9,Mild,Student,0,1
4432,18,Male,Netherlands,2.3,222.0,5.6,Fair,26.7,74,Medium,4.7,Mild,Other,0,1
4433,37,Female,Switzerland,0.0,0.0,6.6,Good,20.7,66,Low,14.3,None,Other,1,0
4434,28,Female,Italy,4.0,378.7,6.2,Good,20.5,61,Low,2.1,None,Student,0,0
4435,28,Female,Netherlands,0.0,0.0,8.2,Excellent,25.2,76,Low,10.8,None,Service,1,0
4436,43,Male,Spain,2.8,264.4,4.9,Poor,24.2,87,High,2.4,Mild,Student,0,0
4437,49,Male,Italy,1.4,131.9,7.4,Good,27.5,81,Low,11.5,None,Other,0,0
4438,31,Female,Brazil,2.7,258.3,6.4,Good,27.4,82,Low,3.2,None,Student,0,0
4439,30,Female,Japan,2.2,205.6,7.7,Good,21.9,55,Low,13.0,None,Healthcare,1,0
4440,41,Female,Canada,3.0,287.1,7.0,Good,17.8,79,Low,9.4,None,Service,0,0
4441,18,Female,Norway,3.3,311.7,6.4,Good,18.8,66,Low,13.2,None,Service,0,0
4442,37,Female,Sweden,4.1,385.4,5.2,Fair,19.9,66,Medium,9.4,Mild,Other,1,0
4443,41,Female,Finland,3.7,347.7,6.9,Good,22.1,71,Low,12.1,None,Service,1,0
4444,43,Female,Brazil,2.6,243.4,6.1,Good,25.1,85,Low,13.0,None,Other,0,0
4445,18,Male,Norway,3.9,371.9,6.3,Good,22.8,62,Low,7.0,None,Healthcare,0,0
4446,25,Female,South Korea,1.7,165.0,7.7,Good,19.3,67,Low,10.1,None,Other,0,0
4447,24,Female,Spain,5.0,477.0,8.0,Excellent,26.4,58,Low,0.4,None,Healthcare,0,0
4448,36,Male,Norway,1.6,152.8,4.8,Poor,22.8,52,High,7.4,Mild,Healthcare,0,1
4449,40,Male,UK,1.8,170.6,7.7,Good,21.5,67,Low,3.2,None,Service,0,1
4450,52,Male,Italy,0.0,0.0,8.6,Excellent,21.0,81,Low,1.7,Mild,Service,0,1
4451,29,Female,Italy,1.5,142.3,6.6,Good,25.1,82,Low,14.9,None,Other,0,0
4452,29,Male,Canada,2.1,199.4,5.3,Fair,23.0,73,Medium,15.0,Mild,Other,0,0
4453,48,Male,China,2.1,198.7,7.1,Good,21.7,71,Low,3.2,None,Service,1,0
4454,38,Female,USA,5.0,477.3,6.0,Good,19.4,66,Low,13.5,None,Other,0,1
4455,50,Male,Norway,3.4,320.9,10.0,Excellent,21.7,55,Low,13.5,None,Student,0,1
4456,38,Female,France,3.9,371.3,6.8,Good,24.9,57,Low,14.6,None,Other,0,1
4457,21,Male,Finland,2.5,237.5,6.0,Good,26.3,84,Low,5.9,None,Student,0,0
4458,19,Female,India,1.4,137.6,5.0,Fair,27.5,56,Medium,14.0,Mild,Other,0,1
4459,18,Male,Italy,5.8,548.0,5.0,Poor,21.3,55,High,11.7,Mild,Student,0,0
4460,42,Male,Switzerland,2.3,223.1,7.7,Good,18.1,63,Low,11.0,None,Healthcare,0,1
4461,49,Male,Canada,3.5,329.3,4.4,Poor,26.2,51,High,3.7,Mild,Office,0,1
4462,57,Female,Mexico,1.1,102.5,4.8,Poor,24.6,80,High,7.4,Moderate,Other,1,1
4463,45,Female,South Korea,0.7,70.7,8.1,Excellent,18.6,69,Low,11.8,None,Other,0,0
4464,48,Male,Mexico,4.7,450.7,5.8,Fair,26.8,67,Medium,12.7,Mild,Healthcare,0,0
4465,28,Female,Finland,3.1,299.1,6.2,Good,15.0,75,Low,3.0,None,Service,0,1
4466,21,Male,Japan,2.2,205.8,7.4,Good,20.1,78,Low,4.7,None,Service,0,0
4467,45,Other,Sweden,2.2,210.6,6.4,Good,30.5,71,Low,2.4,Mild,Service,0,0
4468,40,Female,Brazil,0.9,90.0,4.9,Poor,35.1,70,High,2.3,Moderate,Healthcare,0,0
4469,36,Female,Japan,1.7,157.5,6.0,Fair,27.6,57,Medium,3.2,Mild,Office,0,0
4470,39,Female,South Korea,3.1,298.2,7.1,Good,22.7,64,Low,13.6,None,Service,1,1
4471,38,Female,Sweden,2.6,244.0,6.7,Good,25.4,78,Low,5.4,None,Service,1,0
4472,50,Female,USA,3.6,344.8,8.3,Excellent,15.9,71,Low,7.5,None,Other,0,0
4473,50,Female,Mexico,0.0,0.0,7.5,Good,22.2,82,Low,0.2,None,Healthcare,0,1
4474,41,Female,Belgium,2.8,262.3,5.6,Fair,17.5,80,Medium,11.3,Mild,Healthcare,0,0
4475,45,Female,Netherlands,3.7,348.6,8.1,Excellent,28.4,51,Low,4.3,None,Student,0,0
4476,41,Female,Switzerland,0.0,0.0,8.8,Excellent,27.1,74,Low,10.6,None,Other,1,1
4477,29,Female,Netherlands,0.9,90.2,6.0,Good,26.5,70,Low,3.0,None,Student,0,0
4478,44,Female,Italy,0.3,31.4,7.6,Good,27.2,51,Low,5.7,None,Student,0,0
4479,18,Female,Japan,4.4,422.3,7.1,Good,21.8,51,Low,7.8,None,Office,0,1
4480,47,Male,Australia,2.6,247.8,7.0,Good,23.8,63,Low,9.5,None,Service,0,0
4481,20,Male,Belgium,2.7,257.6,4.9,Poor,21.3,67,High,2.5,Mild,Healthcare,0,1
4482,38,Male,Netherlands,4.2,399.2,10.0,Excellent,24.1,79,Low,6.5,None,Student,1,0
4483,24,Female,China,2.3,221.7,6.1,Good,23.6,60,Low,0.2,None,Other,0,0
4484,41,Male,Canada,1.5,144.9,7.2,Good,25.5,87,Low,2.0,None,Healthcare,0,0
4485,34,Other,France,2.8,261.9,7.7,Good,19.6,77,Low,4.9,None,Service,0,0
4486,18,Female,Norway,3.1,298.8,6.0,Good,24.0,69,Low,14.1,None,Healthcare,0,0
4487,40,Female,Sweden,0.8,76.4,8.4,Excellent,24.0,74,Low,13.2,None,Office,0,0
4488,28,Male,Italy,4.8,460.7,6.3,Good,24.7,91,Low,7.9,None,Service,0,1
4489,45,Female,Japan,0.0,0.0,6.2,Good,20.3,67,Low,9.1,None,Service,0,0
4490,35,Female,Finland,3.0,284.0,4.8,Poor,21.6,69,High,4.3,Mild,Healthcare,0,1
4491,39,Female,Switzerland,5.0,476.0,5.8,Fair,20.7,77,Medium,10.0,Mild,Other,0,0
4492,23,Male,France,2.7,254.7,7.0,Good,31.8,59,Low,3.6,Mild,Student,1,0
4493,27,Female,Australia,0.0,0.0,6.6,Good,28.8,69,Low,0.0,None,Student,0,1
4494,29,Female,Australia,4.7,449.3,7.1,Good,23.7,65,Low,14.4,None,Student,1,0
4495,45,Female,Belgium,1.8,168.9,8.7,Excellent,25.8,79,Low,5.7,None,Healthcare,0,0
4496,55,Female,Norway,3.7,348.8,6.1,Good,30.1,71,Low,7.8,Moderate,Other,0,1
4497,25,Female,Australia,3.1,297.2,7.9,Good,30.4,79,Low,1.5,Mild,Healthcare,0,0
4498,47,Female,Australia,2.5,235.2,6.8,Good,25.6,68,Low,7.9,None,Student,0,1
4499,18,Female,Italy,0.0,0.0,7.4,Good,20.7,55,Low,13.5,None,Student,0,1
4500,20,Female,Netherlands,3.1,295.5,6.5,Good,28.8,87,Low,13.2,None,Student,0,0
4501,23,Female,USA,3.6,342.7,6.9,Good,24.9,62,Low,8.7,None,Other,0,0
4502,18,Male,Belgium,0.1,9.4,6.0,Good,22.6,70,Low,12.9,None,Office,0,0
4503,18,Male,Spain,5.0,476.1,5.4,Fair,26.7,75,Medium,5.5,Mild,Student,0,0
4504,39,Male,Sweden,1.9,182.5,6.0,Fair,21.4,79,Medium,2.9,Mild,Student,1,0
4505,32,Male,Norway,5.2,496.3,4.1,Poor,17.9,87,High,6.3,Mild,Other,0,0
4506,39,Male,South Korea,3.5,332.6,5.0,Fair,29.1,68,Medium,12.1,Mild,Healthcare,1,1
4507,43,Male,UK,2.5,240.9,6.5,Good,25.8,61,Low,10.6,None,Service,0,1
4508,38,Female,India,2.7,252.4,5.9,Fair,27.3,50,Medium,5.8,Mild,Service,1,0
4509,42,Male,Australia,4.0,377.8,6.3,Good,16.6,70,Low,5.1,None,Other,0,0
4510,34,Male,Spain,4.8,455.2,7.0,Good,25.7,50,Low,14.5,None,Office,1,1
4511,20,Female,Norway,1.0,99.0,7.1,Good,25.2,59,Low,4.0,None,Healthcare,1,0
4512,47,Female,Finland,1.6,152.2,6.6,Good,22.6,69,Low,4.6,None,Student,0,0
4513,27,Female,Japan,5.0,473.8,4.0,Poor,22.7,86,High,5.2,Mild,Healthcare,0,0
4514,23,Female,France,1.2,111.8,6.9,Good,22.0,68,Low,11.7,None,Office,0,0
4515,32,Male,South Korea,2.5,240.7,5.8,Fair,30.3,78,Medium,12.8,Moderate,Student,0,0
4516,24,Male,Germany,1.5,139.6,7.6,Good,27.4,70,Low,3.3,None,Other,0,0
4517,29,Male,Sweden,3.6,342.8,5.5,Fair,23.0,71,Medium,6.1,Mild,Other,0,1
4518,39,Male,Germany,0.0,0.0,5.6,Fair,21.4,79,Medium,13.0,Mild,Student,0,0
4519,39,Male,USA,3.6,342.2,8.2,Excellent,23.9,74,Low,4.7,None,Student,0,1
4520,24,Other,Mexico,4.2,402.9,4.2,Poor,24.0,67,High,6.1,Mild,Other,0,0
4521,29,Male,Australia,3.5,331.2,8.5,Excellent,19.8,83,Low,8.3,None,Office,0,0
4522,47,Male,Italy,1.3,119.0,6.9,Good,28.4,64,Low,9.6,None,Office,1,0
4523,40,Male,UK,0.0,0.0,6.6,Good,23.0,59,Low,4.6,None,Other,0,0
4524,59,Female,Netherlands,1.5,141.0,6.3,Good,24.3,58,Low,8.6,Mild,Healthcare,0,1
4525,49,Male,Canada,3.5,330.4,7.5,Good,27.2,67,Low,10.9,None,Office,0,1
4526,48,Male,Brazil,2.5,234.0,6.9,Good,30.3,71,Low,1.4,Mild,Office,0,0
4527,18,Male,Japan,3.8,362.7,6.6,Good,24.4,74,Low,15.0,None,Office,0,0
4528,44,Male,Italy,2.2,206.0,6.6,Good,18.3,68,Low,14.0,None,Service,0,1
4529,34,Male,Finland,2.1,198.8,6.1,Good,26.4,67,Low,2.3,None,Service,0,0
4530,28,Female,Australia,4.9,465.5,7.8,Good,24.6,75,Low,5.0,None,Student,0,0
4531,37,Male,UK,1.5,139.1,6.2,Good,21.9,80,Low,4.2,None,Office,0,0
4532,46,Female,Italy,3.5,329.6,4.9,Poor,25.5,50,High,0.3,Mild,Service,1,1
4533,41,Female,Canada,3.7,349.2,6.8,Good,21.4,52,Low,7.5,None,Office,0,0
4534,24,Female,India,6.1,575.4,4.4,Poor,17.8,82,High,2.4,Mild,Office,0,0
4535,43,Male,China,5.0,473.4,8.0,Excellent,24.5,68,Low,2.1,None,Student,0,1
4536,27,Male,Finland,3.3,315.7,7.0,Good,20.2,79,Low,3.2,None,Other,1,0
4537,37,Male,France,3.6,338.6,3.9,Poor,22.9,57,High,11.4,Mild,Other,0,1
4538,31,Female,Canada,4.4,417.3,6.8,Good,26.3,71,Low,1.9,None,Office,1,1
4539,32,Female,Netherlands,1.5,146.1,6.3,Good,15.6,57,Low,9.4,None,Student,0,0
4540,44,Male,Japan,5.1,488.5,7.8,Good,22.5,75,Low,4.4,None,Service,1,0
4541,22,Female,Mexico,2.5,233.1,6.5,Good,20.2,67,Low,1.0,None,Healthcare,0,0
4542,58,Female,Finland,3.5,334.6,6.3,Good,18.0,56,Low,14.7,Mild,Student,0,0
4543,18,Female,Netherlands,3.0,289.0,6.1,Good,24.1,76,Low,9.7,None,Office,0,0
4544,27,Male,Brazil,1.4,129.6,6.4,Good,22.0,75,Low,3.1,None,Other,0,0
4545,39,Female,Finland,1.9,183.2,4.2,Poor,26.5,67,High,7.6,Mild,Service,0,0
4546,42,Male,Australia,1.3,123.9,6.1,Good,25.6,64,Low,5.8,None,Student,0,0
4547,33,Female,Finland,2.8,268.7,5.4,Fair,26.2,80,Medium,2.6,Mild,Other,0,0
4548,34,Male,Norway,0.2,19.2,6.5,Good,16.3,73,Low,14.4,None,Student,0,1
4549,39,Male,China,1.0,96.6,8.2,Excellent,24.5,69,Low,12.9,None,Healthcare,0,1
4550,32,Female,Italy,1.8,174.3,8.7,Excellent,24.7,58,Low,5.5,None,Student,1,0
4551,51,Female,Netherlands,2.3,215.0,6.9,Good,19.0,90,Low,12.2,Mild,Healthcare,0,0
4552,45,Male,Germany,4.7,445.0,5.6,Fair,23.5,71,Medium,2.8,Mild,Service,0,0
4553,45,Male,China,4.0,379.3,4.7,Poor,24.9,88,High,1.1,Mild,Office,1,0
4554,23,Female,Switzerland,2.3,220.8,6.1,Good,24.1,65,Low,7.9,None,Office,0,0
4555,34,Female,Spain,5.2,496.1,4.7,Poor,26.4,68,High,5.9,Mild,Healthcare,0,1
4556,31,Female,Finland,3.0,285.3,6.3,Good,25.8,66,Low,1.0,None,Service,0,0
4557,22,Female,Switzerland,3.5,333.6,6.4,Good,26.5,73,Low,9.5,None,Student,0,1
4558,39,Male,Belgium,0.0,0.0,7.2,Good,18.6,69,Low,12.3,None,Student,0,1
4559,28,Female,Norway,1.1,103.3,7.0,Good,21.1,77,Low,7.9,None,Service,0,1
4560,42,Female,Australia,4.1,386.8,4.1,Poor,22.3,69,High,0.8,Mild,Healthcare,0,0
4561,22,Female,Canada,3.5,330.8,5.3,Fair,23.3,75,Medium,5.7,Mild,Healthcare,0,0
4562,55,Male,Germany,5.2,493.3,5.1,Fair,17.5,77,Medium,3.8,Moderate,Office,0,0
4563,24,Female,Netherlands,5.1,482.2,5.7,Fair,23.2,57,Medium,2.2,Mild,Office,0,1
4564,37,Female,Norway,1.7,161.9,6.9,Good,26.9,59,Low,7.5,None,Service,0,1
4565,44,Female,Norway,4.2,401.5,5.4,Fair,18.5,59,Medium,1.0,Mild,Student,0,1
4566,28,Female,India,1.0,97.5,10.0,Excellent,17.9,77,Low,0.9,None,Other,1,0
4567,45,Female,USA,0.1,11.2,8.5,Excellent,28.9,81,Low,11.7,None,Healthcare,0,1
4568,20,Female,Belgium,3.0,283.0,5.3,Fair,25.5,66,Medium,6.4,Mild,Service,0,1
4569,52,Male,India,3.6,346.6,8.0,Excellent,31.7,77,Low,11.2,Moderate,Other,0,1
4570,35,Male,UK,3.0,285.2,8.5,Excellent,24.5,66,Low,4.9,None,Service,0,0
4571,27,Female,Finland,3.9,373.8,4.9,Poor,23.5,78,High,5.3,Mild,Student,1,0
4572,31,Female,Spain,1.6,154.6,5.3,Fair,21.0,100,Medium,6.4,Mild,Other,0,0
4573,44,Male,Mexico,4.0,382.7,6.5,Good,33.3,87,Low,4.6,Mild,Healthcare,0,0
4574,27,Female,Switzerland,1.7,163.4,8.0,Excellent,28.7,84,Low,8.4,None,Service,0,0
4575,26,Male,Italy,6.1,577.9,6.5,Good,25.9,90,Low,1.1,None,Service,0,0
4576,32,Male,Brazil,3.8,359.5,4.4,Poor,25.1,77,High,8.4,Mild,Office,0,0
4577,20,Female,India,4.9,462.3,5.3,Fair,19.3,83,Medium,10.7,Mild,Student,0,0
4578,56,Female,Switzerland,0.6,60.2,6.2,Good,24.0,65,Low,14.9,Mild,Service,0,1
4579,28,Male,China,1.9,177.6,7.7,Good,19.5,78,Low,9.6,None,Healthcare,0,0
4580,44,Female,Australia,2.4,225.3,4.9,Poor,22.8,61,High,10.6,Mild,Other,1,0
4581,37,Female,France,0.8,72.0,5.4,Fair,24.4,85,Medium,8.9,Mild,Office,0,0
4582,23,Female,Spain,4.9,467.6,6.3,Good,24.7,63,Low,14.3,None,Other,1,1
4583,34,Male,Switzerland,2.6,245.6,6.6,Good,19.9,70,Low,12.1,None,Other,1,0
4584,44,Female,France,0.2,22.4,8.0,Excellent,26.0,66,Low,9.2,None,Office,1,1
4585,32,Male,Netherlands,1.8,166.7,6.0,Fair,23.6,71,Medium,5.0,Mild,Service,1,0
4586,49,Male,Australia,0.8,77.4,8.2,Excellent,27.0,75,Low,4.9,None,Student,0,1
4587,47,Female,Australia,3.6,343.7,7.6,Good,26.3,55,Low,11.3,None,Student,1,1
4588,46,Female,Mexico,3.4,324.0,6.4,Good,28.9,71,Low,13.9,None,Other,0,0
4589,29,Male,India,3.5,329.8,5.8,Fair,20.8,84,Medium,14.8,Mild,Other,1,0
4590,22,Female,Brazil,4.0,377.2,8.4,Excellent,31.9,71,Low,3.9,Mild,Student,0,1
4591,27,Female,Canada,5.8,550.6,6.7,Good,19.5,80,Low,8.9,None,Healthcare,0,0
4592,37,Female,Norway,5.2,496.1,5.9,Fair,22.6,53,Medium,10.5,Mild,Healthcare,1,0
4593,41,Female,India,1.8,173.7,5.6,Fair,24.7,61,Medium,6.2,Mild,Other,0,0
4594,18,Male,South Korea,5.7,540.9,7.7,Good,26.2,89,Low,1.6,None,Student,1,0
4595,34,Female,China,2.2,209.0,5.9,Fair,22.8,63,Medium,4.3,Mild,Office,1,1
4596,36,Male,Brazil,2.7,252.5,6.0,Fair,23.7,66,Medium,7.7,Mild,Service,0,1
4597,31,Female,Germany,2.6,247.6,5.7,Fair,31.9,68,Medium,1.7,Moderate,Office,0,0
4598,50,Male,South Korea,3.5,332.2,6.0,Good,21.4,67,Low,4.7,None,Healthcare,0,0
4599,40,Male,UK,0.0,0.0,7.5,Good,19.9,50,Low,3.9,None,Healthcare,1,0
4600,50,Female,UK,2.5,241.0,6.0,Good,18.8,78,Low,5.3,None,Healthcare,0,0
4601,32,Male,France,2.9,279.6,6.4,Good,21.5,75,Low,10.3,None,Other,1,0
4602,46,Male,Finland,0.0,0.0,6.2,Good,15.0,78,Low,7.1,None,Other,0,1
4603,54,Female,Australia,0.0,0.0,7.6,Good,24.0,72,Low,5.6,Mild,Office,0,0
4604,50,Female,UK,1.3,119.8,6.7,Good,30.8,64,Low,4.1,Mild,Office,0,0
4605,21,Female,Norway,1.4,132.0,5.3,Fair,23.8,74,Medium,10.3,Mild,Office,0,0
4606,31,Male,China,2.6,243.6,6.5,Good,28.9,65,Low,10.1,None,Healthcare,0,0
4607,30,Male,Italy,2.3,218.5,6.9,Good,22.5,75,Low,6.7,None,Service,0,1
4608,40,Male,Mexico,4.3,404.8,5.9,Fair,31.0,83,Medium,4.2,Moderate,Service,1,0
4609,43,Female,USA,1.9,183.4,4.2,Poor,25.6,80,High,12.1,Mild,Student,0,0
4610,24,Female,Switzerland,2.0,186.0,8.2,Excellent,23.9,68,Low,12.8,None,Student,1,0
4611,35,Male,Spain,4.0,380.6,5.2,Fair,20.1,58,Medium,12.7,Mild,Healthcare,0,0
4612,18,Male,Mexico,0.0,0.0,7.7,Good,24.7,73,Low,5.9,None,Student,0,0
4613,52,Male,Australia,5.2,490.2,5.8,Fair,31.1,73,Medium,3.8,Severe,Service,0,0
4614,28,Male,UK,0.2,20.5,6.9,Good,16.3,63,Low,12.7,None,Other,0,0
4615,35,Male,Germany,4.0,383.0,6.2,Good,23.6,82,Low,14.7,None,Healthcare,0,0
4616,31,Female,USA,3.8,357.8,7.6,Good,22.5,73,Low,2.9,None,Other,0,1
4617,48,Male,Switzerland,4.8,460.5,6.6,Good,18.5,79,Low,9.5,None,Student,0,0
4618,18,Female,India,1.4,135.7,7.0,Good,21.0,50,Low,4.9,None,Other,0,1
4619,34,Female,UK,2.6,243.5,5.2,Fair,27.3,50,Medium,7.3,Mild,Office,0,1
4620,33,Male,Norway,0.8,73.4,8.7,Excellent,21.8,76,Low,8.6,None,Healthcare,0,0
4621,29,Female,Australia,2.4,228.8,4.8,Poor,28.5,77,High,8.1,Mild,Healthcare,0,1
4622,55,Female,Netherlands,2.3,222.9,8.2,Excellent,22.7,62,Low,11.4,Mild,Student,0,1
4623,24,Male,Norway,4.8,458.9,4.1,Poor,23.7,83,High,14.6,Mild,Service,1,0
4624,44,Female,South Korea,3.3,314.1,8.7,Excellent,27.5,83,Low,1.3,None,Other,1,0
4625,39,Male,Finland,2.4,232.7,7.1,Good,23.5,70,Low,10.3,None,Other,0,1
4626,50,Female,Italy,2.4,230.8,6.0,Good,25.1,80,Low,7.8,None,Other,1,0
4627,26,Female,Switzerland,1.8,172.1,5.1,Fair,22.0,78,Medium,6.0,Mild,Other,0,0
4628,26,Female,Belgium,2.1,203.4,6.7,Good,22.8,82,Low,9.9,None,Student,0,0
4629,48,Female,Finland,2.6,249.2,7.2,Good,27.2,73,Low,13.3,None,Other,0,1
4630,40,Female,Finland,5.4,513.8,6.3,Good,21.0,77,Low,9.2,None,Office,0,1
4631,18,Female,Canada,3.1,294.8,6.0,Good,19.7,77,Low,12.3,None,Other,0,1
4632,28,Female,USA,0.9,90.0,6.0,Fair,22.8,63,Medium,4.4,Mild,Office,0,0
4633,39,Male,Norway,6.4,609.1,7.5,Good,23.9,60,Low,6.6,None,Other,1,0
4634,45,Female,France,4.1,384.9,6.0,Good,20.1,64,Low,2.6,None,Service,0,1
4635,26,Male,Canada,4.0,376.0,6.9,Good,29.7,80,Low,8.6,None,Other,0,1
4636,18,Male,Sweden,2.2,206.7,7.3,Good,24.8,65,Low,11.1,None,Healthcare,0,0
4637,41,Female,Italy,3.7,351.1,5.0,Poor,20.8,55,High,8.7,Mild,Other,1,0
4638,20,Male,USA,3.0,280.9,6.4,Good,26.1,50,Low,13.7,None,Service,0,0
4639,18,Male,India,0.5,43.8,8.5,Excellent,27.8,70,Low,12.9,None,Other,0,1
4640,18,Female,Italy,3.2,302.1,6.9,Good,19.6,81,Low,6.4,None,Service,0,0
4641,44,Male,South Korea,0.6,58.7,7.4,Good,26.0,62,Low,8.6,None,Office,1,1
4642,36,Male,Canada,2.9,280.0,6.0,Good,21.9,70,Low,9.7,None,Student,0,0
4643,32,Female,Italy,3.1,293.3,7.8,Good,25.9,64,Low,12.1,None,Student,0,0
4644,51,Female,Spain,1.1,107.5,9.2,Excellent,32.3,66,Low,1.1,Moderate,Office,0,0
4645,42,Female,Belgium,2.7,254.3,5.7,Fair,21.0,66,Medium,12.1,Mild,Other,0,0
4646,54,Female,Japan,3.4,322.2,7.4,Good,25.1,61,Low,1.0,Mild,Healthcare,1,0
4647,18,Female,Brazil,1.7,164.5,5.1,Fair,16.0,83,Medium,10.8,Mild,Healthcare,0,0
4648,34,Female,UK,3.2,302.6,7.3,Good,31.9,76,Low,7.0,Mild,Service,0,0
4649,18,Female,Italy,4.4,418.8,6.9,Good,15.6,60,Low,3.6,None,Other,0,0
4650,32,Female,Japan,3.8,357.5,5.1,Fair,24.7,65,Medium,10.6,Mild,Service,0,0
4651,32,Female,Mexico,2.0,193.3,7.8,Good,28.1,67,Low,13.1,None,Other,0,0
4652,42,Male,Japan,4.7,444.6,5.1,Fair,23.7,72,Medium,12.4,Mild,Other,0,0
4653,35,Male,UK,3.6,344.8,8.8,Excellent,22.5,74,Low,2.9,None,Other,0,1
4654,42,Male,Germany,2.2,213.4,6.8,Good,23.5,67,Low,9.1,None,Healthcare,0,1
4655,43,Female,Mexico,1.6,149.6,6.6,Good,22.8,68,Low,9.9,None,Service,0,0
4656,60,Male,Belgium,3.4,325.7,5.7,Fair,17.4,74,Medium,0.8,Moderate,Office,0,1
4657,31,Female,Netherlands,4.1,392.2,7.1,Good,15.0,66,Low,4.9,None,Office,1,0
4658,23,Female,India,4.2,399.1,6.8,Good,28.5,84,Low,1.6,None,Student,0,0
4659,37,Female,South Korea,3.4,325.3,6.7,Good,20.8,81,Low,6.3,None,Healthcare,0,0
4660,25,Male,South Korea,2.0,188.9,5.8,Fair,23.9,68,Medium,10.9,Mild,Office,0,1
4661,52,Female,Norway,3.4,318.5,6.2,Good,19.0,83,Low,12.1,Mild,Office,1,0
4662,31,Male,Brazil,1.2,114.8,5.9,Fair,22.8,75,Medium,11.4,Mild,Service,0,1
4663,28,Female,USA,2.9,278.8,4.5,Poor,27.2,75,High,4.1,Mild,Student,0,0
4664,29,Female,India,5.2,493.8,6.1,Good,21.9,87,Low,2.2,None,Service,0,0
4665,43,Male,India,1.0,93.9,5.5,Fair,29.1,78,Medium,13.1,Mild,Healthcare,0,1
4666,33,Female,UK,1.7,158.6,9.2,Excellent,24.5,80,Low,11.1,None,Service,0,0
4667,27,Male,Germany,3.9,372.4,8.7,Excellent,24.1,59,Low,11.3,None,Other,0,0
4668,54,Other,Brazil,1.2,112.6,7.2,Good,25.3,69,Low,4.1,Mild,Service,0,0
4669,24,Male,Japan,4.8,456.2,4.1,Poor,25.0,64,High,8.6,Mild,Healthcare,1,1
4670,35,Male,Belgium,4.0,376.6,7.0,Good,26.3,57,Low,13.5,None,Student,0,1
4671,42,Male,Netherlands,4.0,382.5,6.1,Good,23.3,55,Low,12.5,None,Service,0,1
4672,18,Male,Belgium,4.2,399.6,7.7,Good,20.4,79,Low,4.0,None,Office,0,0
4673,40,Female,Sweden,0.6,53.3,8.1,Excellent,29.1,72,Low,14.3,None,Healthcare,1,0
4674,22,Female,UK,0.9,83.4,6.0,Fair,28.0,55,Medium,5.7,Mild,Office,0,0
4675,44,Female,Belgium,4.5,425.6,5.9,Fair,25.4,71,Medium,8.6,Mild,Service,1,0
4676,23,Male,Spain,2.0,193.8,6.2,Good,27.8,65,Low,11.0,None,Student,0,0
4677,43,Male,Switzerland,2.4,227.2,6.1,Good,19.1,60,Low,3.8,None,Student,0,0
4678,48,Female,Canada,3.6,338.4,4.6,Poor,20.0,78,High,5.9,Mild,Service,0,0
4679,45,Male,Mexico,2.7,259.1,7.0,Good,26.2,68,Low,13.9,None,Healthcare,1,1
4680,38,Female,Italy,4.1,391.5,6.5,Good,18.8,81,Low,1.1,None,Other,1,0
4681,32,Female,UK,3.4,319.9,6.1,Good,31.2,66,Low,0.3,Mild,Service,0,1
4682,28,Male,UK,2.2,209.3,7.0,Good,21.3,50,Low,14.5,None,Service,0,0
4683,52,Female,Belgium,2.4,224.0,7.0,Good,18.1,71,Low,13.1,Mild,Student,0,0
4684,26,Female,Norway,2.9,274.3,8.0,Good,21.0,74,Low,12.0,None,Service,0,0
4685,22,Female,Mexico,3.1,293.1,7.6,Good,20.4,69,Low,5.0,None,Service,0,0
4686,42,Male,Mexico,3.7,352.2,7.7,Good,24.5,74,Low,5.6,None,Student,0,0
4687,25,Male,South Korea,2.7,261.1,5.5,Fair,25.2,66,Medium,13.5,Mild,Student,0,0
4688,23,Male,Mexico,2.4,225.4,5.3,Fair,20.3,69,Medium,14.6,Mild,Healthcare,0,0
4689,18,Male,Spain,2.2,211.8,7.8,Good,24.0,71,Low,0.9,None,Office,1,0
4690,29,Male,Brazil,1.9,175.9,8.8,Excellent,20.8,79,Low,7.0,None,Service,1,0
4691,34,Female,Mexico,4.9,466.2,7.3,Good,28.1,70,Low,6.0,None,Other,1,0
4692,37,Female,Netherlands,1.2,113.1,7.2,Good,19.7,62,Low,11.1,None,Other,0,0
4693,46,Female,China,0.6,57.9,6.9,Good,30.0,65,Low,7.4,None,Service,0,1
4694,41,Male,Canada,3.8,364.5,9.9,Excellent,23.7,70,Low,1.2,None,Service,0,1
4695,32,Female,Belgium,3.2,306.1,7.5,Good,26.7,58,Low,2.5,None,Student,0,0
4696,32,Male,France,5.6,531.7,5.9,Fair,19.2,63,Medium,4.6,Mild,Healthcare,0,1
4697,41,Female,Brazil,2.4,225.6,9.0,Excellent,23.1,70,Low,11.8,None,Healthcare,0,0
4698,50,Female,Australia,2.5,233.4,8.7,Excellent,31.8,88,Low,11.6,Mild,Student,1,0
4699,36,Female,UK,1.3,120.1,5.1,Fair,21.9,78,Medium,11.6,Mild,Other,0,1
4700,29,Other,Netherlands,2.7,251.9,5.1,Fair,25.5,70,Medium,11.7,Mild,Office,1,0
4701,23,Female,USA,0.0,0.0,6.8,Good,22.4,60,Low,6.2,None,Other,0,0
4702,18,Male,Norway,0.0,0.0,8.5,Excellent,22.1,55,Low,9.2,None,Other,1,1
4703,42,Male,UK,1.7,160.1,6.1,Good,28.8,81,Low,2.2,None,Office,0,1
4704,41,Male,Norway,2.6,247.0,5.4,Fair,29.6,79,Medium,3.4,Mild,Office,0,0
4705,41,Male,Italy,1.6,153.9,7.7,Good,16.5,76,Low,4.9,None,Healthcare,0,0
4706,33,Female,Australia,1.6,155.1,4.4,Poor,21.8,68,High,7.7,Mild,Office,0,1
4707,51,Male,Mexico,0.2,22.6,6.5,Good,19.9,62,Low,2.8,Mild,Student,0,1
4708,29,Female,Japan,3.4,327.5,5.2,Fair,25.3,59,Medium,13.1,Mild,Office,0,0
4709,46,Male,Spain,1.4,135.9,6.8,Good,25.8,72,Low,9.3,None,Other,0,0
4710,34,Male,Norway,5.0,474.0,5.1,Fair,21.0,58,Medium,8.1,Mild,Student,0,0
4711,27,Female,South Korea,2.4,227.6,6.5,Good,21.8,74,Low,0.2,None,Office,0,0
4712,42,Male,India,0.9,87.7,7.4,Good,24.7,70,Low,8.4,None,Healthcare,1,0
4713,39,Female,South Korea,0.0,0.0,7.2,Good,22.9,69,Low,13.7,None,Healthcare,0,0
4714,39,Female,Japan,0.7,62.5,6.3,Good,27.8,69,Low,3.4,None,Other,0,1
4715,35,Male,Brazil,2.4,228.5,6.2,Good,21.1,72,Low,3.3,None,Service,0,0
4716,34,Female,Australia,0.0,0.0,9.7,Excellent,26.2,82,Low,13.7,None,Other,1,0
4717,63,Male,Japan,1.3,124.6,7.9,Good,23.1,70,Low,12.5,Mild,Office,0,1
4718,49,Female,Belgium,1.7,161.7,6.5,Good,28.3,69,Low,10.2,None,Other,0,0
4719,43,Female,China,1.4,132.0,7.0,Good,25.4,71,Low,11.0,None,Student,0,1
4720,36,Male,Sweden,1.6,154.2,7.3,Good,18.5,67,Low,0.9,None,Other,0,1
4721,47,Female,Brazil,1.8,171.2,5.8,Fair,20.0,58,Medium,11.4,Mild,Healthcare,1,0
4722,41,Male,Mexico,1.3,125.6,6.8,Good,20.0,75,Low,11.2,None,Student,0,0
4723,35,Female,Brazil,4.7,447.0,5.0,Fair,23.0,53,Medium,0.7,Mild,Healthcare,1,0
4724,31,Female,Belgium,1.6,149.6,5.6,Fair,22.7,67,Medium,11.8,Mild,Other,0,0
4725,34,Female,USA,0.0,0.0,8.1,Excellent,24.5,63,Low,9.6,None,Office,0,0
4726,18,Female,Australia,0.0,4.3,8.2,Excellent,29.7,55,Low,8.6,None,Other,1,0
4727,37,Male,Canada,3.4,323.3,7.9,Good,26.4,82,Low,7.7,None,Student,0,1
4728,29,Other,Spain,3.2,301.7,6.4,Good,23.2,69,Low,7.7,None,Healthcare,1,1
4729,54,Male,Spain,1.7,162.7,6.2,Good,21.5,74,Low,3.5,Mild,Other,1,0
4730,35,Female,Finland,0.4,36.4,7.0,Good,28.0,75,Low,0.0,None,Office,1,0
4731,20,Male,Canada,3.6,338.9,4.3,Poor,26.7,71,High,14.4,Mild,Office,0,0
4732,34,Other,South Korea,0.1,11.3,8.6,Excellent,31.5,85,Low,6.9,Mild,Service,0,0
4733,22,Female,Germany,3.1,290.7,3.3,Poor,27.2,75,High,0.7,Mild,Office,0,0
4734,40,Female,Mexico,1.9,176.3,7.9,Good,23.4,74,Low,5.0,None,Other,0,0
4735,38,Male,Canada,3.2,308.7,5.3,Fair,27.8,81,Medium,5.6,Mild,Office,0,0
4736,46,Female,Spain,1.7,165.3,6.7,Good,31.2,70,Low,13.1,Mild,Office,0,0
4737,25,Female,Germany,4.7,445.6,5.3,Fair,21.9,71,Medium,5.1,Mild,Student,0,0
4738,35,Female,Spain,0.0,0.0,6.0,Fair,21.0,78,Medium,13.2,Mild,Office,0,0
4739,18,Male,Switzerland,3.4,319.5,3.6,Poor,19.8,67,High,6.6,Mild,Other,0,0
4740,43,Male,Belgium,2.0,188.2,5.2,Fair,23.5,65,Medium,2.5,Mild,Office,0,0
4741,41,Male,Italy,1.4,137.2,7.9,Good,21.9,60,Low,4.3,None,Healthcare,0,0
4742,40,Male,India,4.4,416.4,4.9,Poor,23.7,63,High,12.7,Mild,Service,1,0
4743,35,Male,Germany,1.0,92.5,5.3,Fair,23.1,71,Medium,2.4,Mild,Service,0,0
4744,39,Male,UK,2.9,270.9,6.4,Good,26.1,91,Low,9.2,None,Student,0,1
4745,54,Male,France,2.7,254.9,3.8,Poor,27.7,63,High,10.9,Moderate,Other,0,0
4746,31,Male,Belgium,0.7,62.2,6.5,Good,25.3,71,Low,4.7,None,Other,0,0
4747,36,Male,Sweden,3.7,355.1,6.7,Good,24.8,76,Low,12.1,None,Student,0,1
4748,21,Female,Sweden,5.5,525.5,6.6,Good,24.7,66,Low,4.7,None,Service,1,1
4749,24,Female,Switzerland,4.9,468.3,5.0,Fair,20.6,78,Medium,4.1,Mild,Healthcare,0,0
4750,36,Male,USA,3.1,294.1,8.0,Good,26.5,60,Low,1.1,None,Service,1,0
4751,48,Female,Brazil,2.2,205.0,7.9,Good,24.8,61,Low,8.8,None,Service,0,0
4752,31,Female,USA,3.7,353.8,4.4,Poor,15.0,70,High,8.0,Mild,Healthcare,0,1
4753,32,Female,Norway,4.0,375.4,7.3,Good,25.4,60,Low,9.9,None,Service,0,0
4754,30,Male,India,2.6,250.5,6.8,Good,23.5,56,Low,7.0,None,Office,0,0
4755,28,Male,Belgium,0.0,0.0,7.6,Good,26.2,51,Low,3.1,None,Other,0,1
4756,38,Female,Belgium,0.2,15.7,6.2,Good,26.3,66,Low,1.6,None,Service,1,1
4757,18,Male,France,3.2,303.0,5.0,Poor,29.2,93,High,7.5,Mild,Healthcare,0,0
4758,50,Male,Mexico,3.0,283.8,6.4,Good,21.2,82,Low,8.1,None,Other,0,0
4759,27,Male,Belgium,1.8,171.7,7.2,Good,17.9,53,Low,14.0,None,Other,0,1
4760,43,Male,South Korea,2.9,276.6,7.0,Good,29.6,59,Low,7.4,None,Service,0,1
4761,19,Other,Switzerland,0.3,28.8,7.4,Good,28.0,65,Low,14.0,None,Service,0,0
4762,43,Male,Italy,2.2,212.0,5.4,Fair,21.3,72,Medium,9.5,Mild,Service,0,1
4763,43,Female,Norway,2.0,189.6,8.3,Excellent,22.2,72,Low,2.3,None,Student,0,0
4764,39,Other,Belgium,0.0,0.0,8.4,Excellent,24.4,67,Low,1.3,None,Other,0,0
4765,23,Female,Australia,2.6,249.9,6.9,Good,24.2,66,Low,14.4,None,Student,0,1
4766,37,Male,Italy,0.2,20.1,5.8,Fair,20.5,54,Medium,3.1,Mild,Service,0,0
4767,20,Male,South Korea,3.8,362.3,6.7,Good,27.0,63,Low,5.2,None,Healthcare,0,0
4768,31,Male,India,3.0,285.2,6.0,Good,24.8,64,Low,0.5,None,Service,0,0
4769,47,Male,Switzerland,1.5,142.3,6.4,Good,18.4,50,Low,4.1,None,Service,0,0
4770,44,Female,South Korea,1.0,92.5,7.7,Good,24.3,61,Low,14.3,None,Office,1,1
4771,35,Male,Finland,0.4,39.2,6.4,Good,26.5,83,Low,1.4,None,Office,1,0
4772,23,Female,Norway,1.8,169.7,8.4,Excellent,21.8,67,Low,13.5,None,Other,0,0
4773,42,Female,China,3.7,347.6,7.2,Good,23.1,75,Low,1.0,None,Other,1,1
4774,35,Female,Finland,2.0,189.3,7.9,Good,24.6,87,Low,9.8,None,Other,0,0
4775,18,Female,Brazil,2.2,213.0,5.6,Fair,16.4,85,Medium,7.4,Mild,Student,0,1
4776,44,Male,UK,0.8,80.0,6.1,Good,23.2,58,Low,11.0,None,Other,0,1
4777,34,Male,Italy,1.7,165.5,5.2,Fair,25.3,74,Medium,11.7,Mild,Office,0,1
4778,49,Male,Finland,2.2,205.3,8.3,Excellent,24.4,79,Low,10.2,None,Other,0,0
4779,21,Male,Finland,2.7,255.2,10.0,Excellent,29.4,63,Low,2.9,None,Service,0,0
4780,18,Female,Norway,2.2,212.4,7.3,Good,26.9,75,Low,9.5,None,Office,0,0
4781,38,Male,Finland,3.2,301.4,6.8,Good,22.4,70,Low,9.3,None,Student,0,1
4782,38,Male,Italy,3.5,330.8,5.9,Fair,23.6,76,Medium,12.8,Mild,Student,1,0
4783,18,Other,Norway,4.8,455.3,8.2,Excellent,25.4,74,Low,1.7,None,Other,0,0
4784,23,Male,USA,2.8,268.8,6.5,Good,15.0,80,Low,9.1,None,Student,0,1
4785,68,Female,Sweden,3.1,297.5,5.8,Fair,17.7,63,Medium,3.1,Moderate,Student,1,0
4786,31,Male,UK,1.7,163.0,5.0,Poor,23.8,73,High,10.0,Mild,Office,0,0
4787,43,Male,Switzerland,4.8,456.8,5.0,Fair,31.2,89,Medium,7.8,Moderate,Other,0,0
4788,27,Female,China,1.8,170.5,6.8,Good,23.2,76,Low,2.8,None,Other,0,0
4789,18,Female,Australia,3.4,323.3,4.3,Poor,28.1,79,High,1.8,Mild,Service,1,0
4790,32,Male,Italy,1.8,167.3,5.3,Fair,18.3,59,Medium,10.5,Mild,Other,0,0
4791,31,Male,Belgium,2.3,216.9,8.7,Excellent,22.1,51,Low,12.3,None,Other,0,0
4792,30,Male,Norway,2.5,240.3,7.6,Good,21.0,70,Low,5.6,None,Office,0,1
4793,33,Male,Japan,0.0,0.0,6.6,Good,25.2,81,Low,9.3,None,Service,1,0
4794,38,Male,Mexico,2.8,265.8,7.7,Good,27.5,67,Low,12.1,None,Service,0,0
4795,33,Female,France,2.4,226.1,5.7,Fair,23.1,67,Medium,10.9,Mild,Other,0,0
4796,19,Male,Netherlands,1.5,141.5,7.7,Good,22.5,62,Low,10.9,None,Healthcare,0,0
4797,40,Male,France,1.0,94.3,6.4,Good,29.5,64,Low,8.4,None,Service,0,1
4798,18,Female,Finland,1.5,146.2,9.1,Excellent,32.7,67,Low,2.1,Mild,Other,0,0
4799,18,Male,India,0.9,86.1,5.5,Fair,22.3,80,Medium,14.2,Mild,Other,0,0
4800,43,Male,France,1.7,166.2,8.6,Excellent,23.6,84,Low,4.6,None,Office,0,0
4801,41,Other,South Korea,1.5,142.1,6.6,Good,25.1,63,Low,1.7,None,Service,0,0
4802,34,Male,Spain,2.0,187.9,4.4,Poor,25.6,57,High,13.0,Mild,Service,0,0
4803,18,Female,Italy,3.6,346.0,6.8,Good,24.9,65,Low,13.2,None,Healthcare,0,0
4804,26,Male,UK,1.1,108.0,7.7,Good,15.9,70,Low,13.1,None,Other,1,0
4805,31,Male,Sweden,1.6,154.4,8.6,Excellent,25.7,75,Low,7.7,None,Service,0,0
4806,18,Male,Canada,2.7,254.1,7.5,Good,31.8,61,Low,4.6,Mild,Student,0,0
4807,26,Male,Brazil,1.0,97.8,5.7,Fair,17.5,95,Medium,12.2,Mild,Service,0,0
4808,42,Male,Italy,3.6,346.1,7.7,Good,17.6,68,Low,13.9,None,Other,0,0
4809,52,Male,Sweden,1.1,100.0,6.9,Good,18.9,71,Low,0.2,Mild,Student,0,0
4810,29,Female,Germany,2.7,256.7,4.7,Poor,26.5,75,High,13.6,Mild,Healthcare,1,1
4811,44,Female,Australia,4.1,388.8,6.3,Good,16.8,61,Low,3.5,None,Student,0,0
4812,18,Male,China,1.0,97.3,5.4,Fair,28.6,81,Medium,11.9,Mild,Office,0,0
4813,42,Female,India,1.3,123.5,6.6,Good,19.8,88,Low,12.2,None,Student,0,0
4814,25,Female,Brazil,1.8,173.2,7.6,Good,27.3,62,Low,8.4,None,Student,0,1
4815,38,Female,Germany,2.5,240.2,5.3,Fair,21.7,79,Medium,6.6,Mild,Student,0,0
4816,32,Male,South Korea,2.3,218.9,7.0,Good,21.1,67,Low,3.4,None,Other,1,1
4817,50,Female,Belgium,2.5,235.1,7.9,Good,26.0,66,Low,3.6,None,Healthcare,0,0
4818,24,Male,South Korea,3.3,309.6,5.8,Fair,26.3,70,Medium,7.5,Mild,Student,1,0
4819,42,Male,South Korea,2.2,210.8,6.3,Good,20.9,71,Low,2.1,None,Office,0,1
4820,31,Female,India,0.3,28.7,8.2,Excellent,25.0,73,Low,10.2,None,Service,0,0
4821,33,Female,Italy,4.4,419.0,7.7,Good,26.6,79,Low,0.5,None,Student,0,0
4822,32,Female,Finland,3.1,299.0,5.1,Fair,16.5,68,Medium,0.4,Mild,Service,0,0
4823,24,Female,Germany,0.6,56.0,5.7,Fair,23.7,69,Medium,7.7,Mild,Service,1,0
4824,34,Male,Norway,2.2,211.2,7.6,Good,23.7,84,Low,4.0,None,Service,0,0
4825,34,Female,France,3.7,349.4,6.2,Good,16.6,63,Low,7.2,None,Student,0,0
4826,37,Male,Brazil,1.1,108.0,6.6,Good,24.0,74,Low,8.4,None,Other,0,0
4827,36,Male,India,3.9,369.2,4.3,Poor,23.8,60,High,4.7,Mild,Student,0,0
4828,44,Female,Netherlands,1.0,99.5,6.3,Good,27.3,77,Low,13.2,None,Student,0,0
4829,46,Male,China,3.1,298.7,6.3,Good,25.9,70,Low,7.4,None,Other,0,0
4830,22,Female,China,0.0,0.0,7.9,Good,29.6,65,Low,12.3,None,Healthcare,0,0
4831,45,Male,China,3.9,371.9,6.0,Fair,25.5,57,Medium,13.4,Mild,Other,1,0
4832,20,Female,Switzerland,0.0,0.0,7.9,Good,20.1,71,Low,13.3,None,Student,0,0
4833,42,Male,Germany,4.3,407.2,6.2,Good,22.2,71,Low,1.0,None,Student,0,1
4834,42,Male,South Korea,0.8,71.4,8.4,Excellent,28.0,75,Low,0.7,None,Other,0,0
4835,18,Female,Japan,5.3,505.9,6.2,Good,27.3,62,Low,8.9,None,Office,0,0
4836,36,Male,USA,2.7,252.2,6.0,Fair,26.9,85,Medium,6.2,Mild,Other,1,0
4837,29,Female,UK,4.0,382.4,5.5,Fair,27.4,65,Medium,11.6,Mild,Service,1,1
4838,25,Female,India,2.2,210.9,5.4,Fair,25.3,61,Medium,14.3,Mild,Other,0,1
4839,51,Female,Italy,0.2,20.6,7.3,Good,24.6,77,Low,1.0,Mild,Office,1,1
4840,27,Female,South Korea,1.1,104.3,9.2,Excellent,23.4,65,Low,9.5,None,Service,0,0
4841,25,Male,Netherlands,3.2,303.9,7.5,Good,28.1,87,Low,9.1,None,Student,1,0
4842,35,Female,South Korea,6.9,650.8,6.5,Good,25.3,58,Low,13.0,None,Healthcare,1,0
4843,43,Male,South Korea,4.7,443.0,4.8,Poor,15.9,70,High,4.7,Mild,Other,0,0
4844,33,Male,Japan,2.6,250.1,5.2,Fair,25.5,85,Medium,7.7,Mild,Other,0,1
4845,48,Male,India,3.9,372.1,7.6,Good,27.6,72,Low,14.1,None,Other,0,0
4846,41,Female,Canada,2.8,268.5,7.1,Good,20.5,62,Low,14.9,None,Other,0,1
4847,18,Female,Italy,2.2,204.4,5.9,Fair,21.8,71,Medium,8.5,Mild,Office,0,0
4848,28,Female,Finland,2.6,245.7,4.6,Poor,24.1,70,High,3.1,Mild,Service,0,0
4849,28,Female,Mexico,1.6,156.5,6.5,Good,29.6,81,Low,11.9,None,Office,1,0
4850,40,Female,Finland,2.6,247.5,5.5,Fair,22.7,88,Medium,5.6,Mild,Healthcare,0,0
4851,18,Female,Norway,3.0,288.7,5.9,Fair,22.8,69,Medium,13.7,Mild,Office,0,0
4852,65,Male,Sweden,2.4,227.9,5.1,Fair,25.9,68,Medium,11.9,Moderate,Other,0,1
4853,41,Female,Canada,1.8,169.3,7.7,Good,24.8,66,Low,14.1,None,Healthcare,1,0
4854,36,Female,Finland,1.7,161.6,6.0,Good,21.3,73,Low,3.2,None,Healthcare,0,0
4855,49,Male,Norway,2.1,197.7,7.3,Good,24.2,76,Low,6.2,None,Healthcare,0,1
4856,63,Female,Italy,2.7,252.9,7.1,Good,24.2,74,Low,3.7,Mild,Student,0,0
4857,45,Male,Sweden,1.8,167.6,6.0,Good,29.1,57,Low,14.1,None,Office,0,1
4858,46,Female,South Korea,3.3,311.9,6.3,Good,20.2,60,Low,11.0,None,Healthcare,0,1
4859,36,Female,Mexico,0.0,4.2,9.1,Excellent,24.3,83,Low,0.4,None,Service,0,0
4860,33,Female,Canada,2.8,266.8,5.3,Fair,26.2,58,Medium,4.2,Mild,Healthcare,0,0
4861,29,Female,Japan,4.0,375.7,5.4,Fair,28.3,67,Medium,11.1,Mild,Service,1,1
4862,25,Female,Sweden,5.1,489.2,3.7,Poor,21.6,91,High,10.2,Mild,Office,0,0
4863,26,Female,Finland,2.4,226.3,6.5,Good,31.4,72,Low,0.6,Mild,Service,0,0
4864,18,Male,China,3.5,329.6,4.0,Poor,17.3,72,High,5.8,Mild,Office,0,0
4865,34,Male,France,2.8,266.7,6.0,Fair,18.1,67,Medium,11.9,Mild,Office,0,0
4866,18,Female,Belgium,4.0,382.1,4.2,Poor,24.9,76,High,5.1,Mild,Other,0,0
4867,37,Female,France,2.1,202.4,7.6,Good,17.5,80,Low,3.6,None,Other,0,1
4868,34,Female,India,3.2,307.3,6.3,Good,21.5,75,Low,10.7,None,Student,0,1
4869,36,Male,Switzerland,0.0,0.0,3.0,Poor,26.0,67,High,9.8,Mild,Other,0,1
4870,28,Female,Belgium,4.0,377.6,5.2,Fair,29.7,68,Medium,0.4,Mild,Service,0,1
4871,71,Female,India,2.7,254.6,6.0,Good,25.1,71,Low,13.6,Mild,Healthcare,0,0
4872,51,Male,Belgium,1.4,137.4,7.4,Good,25.5,74,Low,7.3,Mild,Office,0,0
4873,20,Female,Germany,2.9,275.8,7.6,Good,26.7,50,Low,12.9,None,Other,0,0
4874,37,Female,USA,4.6,437.9,6.8,Good,17.6,76,Low,5.9,None,Office,1,0
4875,27,Female,USA,1.1,99.9,7.2,Good,26.5,79,Low,5.6,None,Service,0,0
4876,22,Other,France,1.1,109.0,7.3,Good,24.0,68,Low,1.8,None,Other,0,0
4877,18,Male,Sweden,0.0,4.3,7.8,Good,20.8,63,Low,12.0,None,Other,0,0
4878,40,Female,Netherlands,1.1,109.2,6.8,Good,20.2,61,Low,0.1,None,Healthcare,0,1
4879,26,Female,UK,1.1,100.5,6.6,Good,23.7,50,Low,4.3,None,Healthcare,0,0
4880,46,Female,Spain,2.2,208.4,6.9,Good,27.3,71,Low,1.1,None,Other,0,0
4881,46,Female,Mexico,2.6,243.4,8.0,Excellent,28.3,74,Low,10.7,None,Office,1,0
4882,51,Female,Spain,0.4,36.6,4.1,Poor,23.5,78,High,10.8,Moderate,Service,1,0
4883,24,Male,Canada,3.0,281.9,3.8,Poor,28.2,96,High,4.7,Mild,Service,0,0
4884,40,Male,South Korea,2.9,272.7,7.2,Good,19.7,72,Low,10.5,None,Healthcare,0,1
4885,42,Male,Spain,2.8,269.5,5.5,Fair,22.2,82,Medium,3.7,Mild,Office,0,1
4886,29,Female,South Korea,1.2,112.2,6.9,Good,30.8,54,Low,4.7,Mild,Office,1,0
4887,25,Female,UK,5.4,511.1,6.2,Good,28.8,67,Low,12.1,None,Student,1,0
4888,54,Male,Australia,3.4,327.2,9.1,Excellent,20.8,81,Low,11.1,Mild,Student,0,0
4889,37,Male,China,0.5,46.2,7.7,Good,27.0,71,Low,11.6,None,Student,0,0
4890,42,Male,Netherlands,0.1,10.0,8.2,Excellent,21.7,81,Low,1.7,None,Service,0,0
4891,25,Female,Spain,1.3,122.0,6.4,Good,22.8,81,Low,2.0,None,Service,1,0
4892,20,Female,Belgium,2.6,250.0,5.6,Fair,23.8,88,Medium,4.5,Mild,Other,0,1
4893,28,Female,UK,4.7,443.2,5.3,Fair,18.7,79,Medium,1.6,Mild,Other,0,0
4894,33,Female,Belgium,1.5,140.8,8.2,Excellent,25.2,69,Low,7.8,None,Service,0,1
4895,22,Female,Finland,0.2,16.5,7.6,Good,29.5,78,Low,8.0,None,Office,0,1
4896,34,Male,Australia,2.9,278.4,6.7,Good,23.4,61,Low,5.2,None,Office,1,1
4897,18,Female,Netherlands,1.8,170.3,8.8,Excellent,21.8,92,Low,6.2,None,Healthcare,0,0
4898,21,Female,India,2.7,252.8,6.4,Good,21.7,66,Low,1.5,None,Student,0,0
4899,43,Female,Germany,2.3,213.9,5.7,Fair,15.3,70,Medium,10.2,Mild,Healthcare,0,0
4900,42,Female,Germany,2.1,198.7,6.3,Good,15.0,74,Low,4.0,None,Service,0,0
4901,30,Female,Canada,4.0,383.4,7.7,Good,31.5,78,Low,11.7,Mild,Office,0,0
4902,22,Female,Germany,3.4,321.2,4.8,Poor,22.2,84,High,11.6,Mild,Office,1,0
4903,22,Female,Norway,2.8,267.9,6.5,Good,20.3,63,Low,8.9,None,Other,0,1
4904,30,Other,Finland,0.0,0.0,8.9,Excellent,20.5,58,Low,6.6,None,Office,0,1
4905,42,Female,UK,2.1,201.2,7.2,Good,23.8,62,Low,3.1,None,Service,0,0
4906,46,Male,Japan,3.8,360.4,6.2,Good,23.0,73,Low,14.1,None,Student,1,0
4907,29,Male,South Korea,1.0,98.5,9.2,Excellent,25.6,77,Low,13.4,None,Healthcare,0,0
4908,21,Female,India,2.2,204.7,7.1,Good,18.8,77,Low,11.3,None,Office,0,0
4909,38,Male,Italy,2.4,229.5,4.7,Poor,25.8,74,High,13.8,Mild,Office,0,1
4910,25,Male,France,2.8,269.5,6.4,Good,26.3,74,Low,13.5,None,Service,0,0
4911,28,Male,UK,1.9,178.8,8.2,Excellent,22.8,81,Low,7.8,None,Service,0,0
4912,50,Female,France,3.1,296.6,6.7,Good,27.3,80,Low,3.1,None,Service,0,0
4913,44,Female,UK,3.1,291.5,8.4,Excellent,29.3,57,Low,3.1,None,Other,0,0
4914,36,Male,Japan,1.1,106.8,5.5,Fair,22.9,75,Medium,7.5,Mild,Office,0,0
4915,19,Male,USA,1.3,124.8,6.7,Good,23.8,76,Low,10.9,None,Healthcare,1,0
4916,37,Female,Italy,2.8,261.7,7.0,Good,25.3,64,Low,6.1,None,Healthcare,0,0
4917,47,Male,Finland,4.7,445.9,4.8,Poor,26.6,80,High,6.1,Mild,Healthcare,1,0
4918,30,Male,Japan,4.0,380.0,6.4,Good,27.1,71,Low,1.1,None,Other,0,0
4919,51,Female,Brazil,1.6,156.5,7.3,Good,26.7,78,Low,11.7,Mild,Student,0,1
4920,50,Female,Spain,1.3,122.7,5.3,Fair,26.9,57,Medium,2.6,Mild,Other,0,0
4921,54,Male,Netherlands,1.9,183.2,4.9,Poor,24.7,60,High,13.5,Moderate,Office,1,0
4922,38,Female,Brazil,4.8,456.1,7.7,Good,27.2,82,Low,2.6,None,Other,1,1
4923,42,Male,Norway,2.5,235.1,6.8,Good,27.0,79,Low,11.1,None,Service,0,1
4924,51,Female,Canada,2.8,263.3,3.8,Poor,23.5,50,High,11.2,Moderate,Healthcare,0,0
4925,40,Male,Canada,1.3,119.9,6.0,Fair,29.3,68,Medium,12.9,Mild,Office,0,0
4926,28,Male,Belgium,2.5,240.8,6.7,Good,18.2,50,Low,7.8,None,Office,0,0
4927,29,Female,Germany,0.2,20.9,4.2,Poor,24.6,90,High,6.0,Mild,Office,0,0
4928,37,Female,India,0.4,39.9,5.8,Fair,25.6,64,Medium,1.5,Mild,Office,0,0
4929,19,Male,France,2.6,248.8,6.2,Good,23.9,68,Low,12.5,None,Student,0,0
4930,33,Male,Australia,2.8,270.3,6.2,Good,31.2,64,Low,6.3,Mild,Other,0,0
4931,48,Female,Sweden,1.9,177.9,5.5,Fair,23.6,67,Medium,14.8,Mild,Office,0,0
4932,18,Female,Japan,3.0,282.8,6.4,Good,29.6,65,Low,4.5,None,Student,1,1
4933,53,Male,China,0.6,53.3,6.4,Good,21.9,82,Low,6.6,Mild,Other,0,0
4934,48,Female,Norway,2.0,187.9,6.5,Good,23.2,69,Low,6.2,None,Other,0,1
4935,29,Male,Sweden,1.5,146.3,7.1,Good,25.0,65,Low,7.2,None,Student,0,0
4936,41,Female,Switzerland,2.4,225.0,4.4,Poor,23.5,75,High,3.3,Mild,Service,0,1
4937,35,Male,Spain,2.0,194.1,7.6,Good,19.3,51,Low,4.1,None,Service,0,1
4938,49,Male,USA,5.9,560.2,6.7,Good,25.5,66,Low,6.9,None,Office,0,0
4939,46,Male,Australia,1.1,101.7,7.4,Good,24.3,68,Low,11.6,None,Student,0,0
4940,18,Male,Japan,2.5,236.8,6.4,Good,21.7,59,Low,11.2,None,Student,0,1
4941,42,Male,India,6.7,634.7,5.8,Fair,15.2,78,Medium,2.8,Mild,Service,1,1
4942,32,Male,Sweden,3.4,324.6,6.3,Good,17.9,71,Low,8.0,None,Student,0,0
4943,35,Male,South Korea,2.4,231.9,6.7,Good,18.0,76,Low,7.8,None,Student,0,0
4944,26,Male,Norway,3.7,353.7,7.4,Good,23.8,77,Low,8.6,None,Office,0,0
4945,55,Female,UK,3.4,327.3,7.4,Good,28.4,86,Low,4.7,Mild,Office,0,0
4946,47,Male,South Korea,0.8,80.2,6.5,Good,21.0,60,Low,10.8,None,Student,0,0
4947,26,Female,Canada,0.2,16.7,7.7,Good,26.4,79,Low,4.2,None,Healthcare,0,0
4948,18,Male,Sweden,2.6,251.3,7.2,Good,19.9,66,Low,4.9,None,Healthcare,0,0
4949,30,Male,South Korea,1.8,169.2,7.6,Good,23.0,71,Low,2.9,None,Student,1,1
4950,40,Female,Spain,5.9,561.5,5.7,Fair,22.8,77,Medium,2.4,Mild,Service,1,0
4951,37,Female,Italy,4.2,397.0,7.9,Good,24.2,82,Low,13.2,None,Office,0,1
4952,50,Male,Mexico,4.2,396.9,7.3,Good,23.2,72,Low,5.9,None,Healthcare,0,0
4953,44,Male,Spain,0.0,0.0,5.7,Fair,24.2,79,Medium,11.3,Mild,Office,0,1
4954,46,Female,Finland,1.6,153.4,5.8,Fair,27.2,85,Medium,11.4,Mild,Student,0,0
4955,38,Female,Japan,2.5,236.0,8.5,Excellent,26.1,67,Low,8.6,None,Office,0,0
4956,18,Other,Spain,1.4,132.7,4.6,Poor,24.9,67,High,12.4,Mild,Healthcare,0,1
4957,32,Male,Brazil,1.6,148.4,6.7,Good,24.7,62,Low,0.0,None,Student,0,0
4958,47,Male,USA,2.1,200.9,9.2,Excellent,20.9,65,Low,2.4,None,Student,0,0
4959,34,Female,Belgium,2.7,255.2,7.9,Good,22.1,73,Low,12.8,None,Student,0,0
4960,41,Female,France,6.6,623.1,7.2,Good,24.3,71,Low,14.1,None,Office,0,0
4961,31,Female,Canada,1.5,141.7,5.3,Fair,24.7,68,Medium,7.7,Mild,Service,0,0
4962,22,Female,Canada,3.8,358.0,7.4,Good,19.2,75,Low,10.4,None,Healthcare,0,1
4963,33,Female,Mexico,4.7,446.1,8.1,Excellent,15.4,70,Low,2.3,None,Other,0,0
4964,38,Female,Netherlands,1.0,95.7,6.5,Good,23.9,56,Low,10.1,None,Healthcare,1,1
4965,27,Male,Mexico,5.5,524.3,6.2,Good,20.1,64,Low,9.7,None,Healthcare,0,1
4966,32,Female,Mexico,2.9,271.1,7.8,Good,29.6,75,Low,1.6,None,Other,0,1
4967,23,Male,Netherlands,0.0,0.0,6.7,Good,26.7,72,Low,11.7,None,Healthcare,1,0
4968,48,Male,Norway,4.3,411.6,4.5,Poor,26.3,63,High,0.5,Mild,Student,0,1
4969,31,Male,Norway,0.1,7.0,3.7,Poor,18.7,63,High,14.7,Mild,Student,0,0
4970,52,Male,Brazil,4.7,445.3,6.7,Good,27.5,65,Low,14.5,Mild,Office,0,1
4971,53,Male,Belgium,4.0,376.2,5.8,Fair,21.5,68,Medium,11.8,Moderate,Other,0,0
4972,34,Female,Italy,0.9,89.3,3.6,Poor,27.1,79,High,7.3,Mild,Student,0,0
4973,22,Male,Netherlands,1.9,181.9,5.8,Fair,27.5,86,Medium,4.5,Mild,Other,1,0
4974,18,Female,Mexico,3.5,335.0,6.0,Good,17.7,74,Low,5.1,None,Student,0,0
4975,18,Male,Australia,1.7,158.4,6.2,Good,20.0,85,Low,1.5,None,Healthcare,0,0
4976,18,Male,Germany,5.1,485.5,7.6,Good,29.8,68,Low,10.9,None,Other,1,0
4977,51,Female,India,3.9,367.8,7.2,Good,18.1,75,Low,14.4,Mild,Student,0,1
4978,36,Female,India,0.3,24.5,6.8,Good,26.2,67,Low,3.6,None,Service,0,0
4979,39,Male,Germany,2.2,212.5,5.1,Fair,19.8,77,Medium,14.7,Mild,Other,0,0
4980,18,Female,South Korea,3.3,311.6,7.4,Good,28.7,80,Low,6.8,None,Other,0,0
4981,20,Male,Switzerland,1.3,126.4,8.6,Excellent,23.1,65,Low,2.1,None,Service,1,0
4982,45,Other,India,4.1,393.1,8.5,Excellent,23.7,83,Low,11.6,None,Other,0,1
4983,38,Male,Switzerland,3.4,325.1,6.2,Good,28.6,66,Low,12.5,None,Office,0,1
4984,33,Male,UK,3.6,339.8,7.2,Good,30.7,60,Low,5.1,Mild,Healthcare,0,1
4985,41,Female,Australia,2.0,192.6,5.9,Fair,23.5,81,Medium,14.5,Mild,Healthcare,0,0
4986,54,Female,Sweden,1.0,92.3,5.9,Fair,26.1,73,Medium,8.0,Moderate,Student,0,0
4987,32,Male,Brazil,4.3,411.0,7.2,Good,23.9,73,Low,0.5,None,Office,0,0
4988,35,Female,Finland,5.1,488.4,4.7,Poor,31.1,75,High,5.2,Moderate,Service,0,0
4989,37,Male,Switzerland,4.0,384.7,5.8,Fair,29.9,68,Medium,11.5,Mild,Service,0,0
4990,63,Female,Norway,3.8,364.5,7.8,Good,24.4,78,Low,3.0,Mild,Healthcare,0,1
4991,18,Male,Norway,2.6,246.4,6.0,Good,26.6,58,Low,2.0,None,Service,0,0
4992,43,Female,Canada,1.4,136.5,5.5,Fair,28.3,90,Medium,9.2,Mild,Healthcare,1,0
4993,33,Female,Sweden,3.6,343.2,8.9,Excellent,21.4,63,Low,4.5,None,Office,0,1
4994,41,Male,UK,1.6,148.2,7.4,Good,23.4,59,Low,9.2,None,Office,0,1
4995,27,Female,India,4.0,380.3,4.4,Poor,28.0,78,High,4.7,Mild,Office,0,0
4996,34,Other,Canada,2.9,276.3,7.0,Good,18.7,61,Low,11.6,None,Student,0,1
4997,43,Female,France,0.3,27.1,6.8,Good,26.6,79,Low,6.3,None,Service,0,1
4998,72,Male,South Korea,2.6,245.5,7.6,Good,26.2,78,Low,14.8,Mild,Student,0,0
4999,44,Female,Spain,0.6,60.4,7.5,Good,21.2,59,Low,5.6,None,Other,0,0
5000,24,Female,Japan,0.4,39.3,6.9,Good,28.4,69,Low,2.2,None,Service,1,0
5001,29,Female,UK,0.0,0.0,7.3,Good,25.7,85,Low,9.5,None,Other,0,1
5002,29,Female,Australia,0.5,45.3,7.3,Good,21.4,65,Low,10.9,None,Office,0,1
5003,18,Male,Mexico,0.7,68.0,7.4,Good,18.4,62,Low,5.2,None,Student,1,0
5004,31,Female,Belgium,4.4,418.7,5.9,Fair,22.2,71,Medium,11.2,Mild,Student,0,1
5005,43,Female,Spain,3.4,319.3,4.8,Poor,20.3,76,High,5.1,Mild,Healthcare,0,0
5006,19,Male,Belgium,5.5,522.4,5.9,Fair,22.0,68,Medium,1.5,Mild,Office,0,0
5007,47,Female,Mexico,2.2,209.7,6.1,Good,22.3,63,Low,1.2,None,Healthcare,0,0
5008,40,Female,Finland,0.6,53.0,6.8,Good,28.8,77,Low,7.1,None,Office,0,0
5009,26,Female,Sweden,2.5,236.2,8.0,Good,18.7,90,Low,14.8,None,Healthcare,0,1
5010,33,Male,Australia,1.9,177.0,8.5,Excellent,19.7,70,Low,8.0,None,Student,1,0
5011,54,Female,South Korea,3.1,297.8,7.4,Good,22.3,65,Low,8.0,Mild,Student,1,0
5012,43,Male,China,0.4,34.6,7.9,Good,34.3,67,Low,12.9,Mild,Healthcare,0,1
5013,35,Female,Mexico,2.6,244.3,6.5,Good,17.7,56,Low,14.2,None,Healthcare,0,0
5014,32,Female,Germany,4.5,429.6,5.9,Fair,15.9,71,Medium,2.6,Mild,Service,0,1
5015,35,Female,Belgium,4.5,431.8,7.2,Good,29.1,77,Low,2.0,None,Student,0,0
5016,28,Male,Canada,4.3,407.1,7.5,Good,22.0,65,Low,10.2,None,Other,0,0
5017,18,Female,South Korea,3.3,316.0,7.7,Good,20.7,55,Low,9.2,None,Other,0,0
5018,59,Female,Germany,3.9,371.5,6.2,Good,25.5,81,Low,5.2,Mild,Office,0,0
5019,36,Male,Switzerland,2.4,232.0,6.7,Good,26.8,56,Low,13.4,None,Service,0,1
5020,39,Female,Germany,3.1,297.4,8.9,Excellent,27.3,69,Low,8.1,None,Healthcare,1,0
5021,34,Female,Netherlands,2.3,219.1,3.7,Poor,26.3,86,High,2.6,Mild,Other,0,1
5022,26,Female,UK,1.7,159.6,7.9,Good,21.2,74,Low,5.8,None,Office,0,0
5023,32,Male,Italy,2.9,274.1,6.2,Good,26.6,52,Low,13.2,None,Student,0,0
5024,18,Male,Spain,5.1,479.9,5.8,Fair,25.6,60,Medium,0.3,Mild,Student,0,0
5025,62,Female,Sweden,2.9,277.2,6.2,Good,29.4,63,Low,12.6,Mild,Other,0,0
5026,20,Male,Spain,3.2,306.3,4.3,Poor,29.9,60,High,14.3,Mild,Office,0,0
5027,22,Male,Norway,3.7,348.3,6.2,Good,20.4,57,Low,5.5,None,Student,0,1
5028,29,Female,Australia,3.0,283.5,8.1,Excellent,30.8,61,Low,4.3,Mild,Office,0,0
5029,50,Male,Sweden,2.2,206.1,6.3,Good,22.2,77,Low,2.5,None,Student,0,1
5030,35,Female,UK,3.7,348.8,6.3,Good,18.3,80,Low,0.6,None,Student,0,1
5031,20,Female,France,1.4,133.1,5.7,Fair,30.7,54,Medium,10.1,Moderate,Student,0,1
5032,50,Female,Brazil,4.3,405.2,6.4,Good,27.3,93,Low,2.6,None,Healthcare,0,0
5033,43,Female,Brazil,4.4,417.1,3.3,Poor,16.1,81,High,13.4,Mild,Healthcare,0,0
5034,41,Male,Japan,2.4,230.8,5.7,Fair,22.0,88,Medium,6.8,Mild,Office,0,1
5035,43,Male,Norway,1.5,143.2,7.2,Good,21.1,59,Low,14.6,None,Student,0,0
5036,63,Female,Mexico,5.7,541.6,4.6,Poor,21.7,60,High,14.7,Moderate,Office,0,0
5037,61,Male,Finland,1.4,137.5,5.3,Fair,31.4,79,Medium,12.0,Severe,Other,0,1
5038,26,Female,France,2.1,195.5,6.1,Good,23.1,75,Low,6.6,None,Student,0,0
5039,54,Female,Switzerland,0.0,0.0,7.6,Good,22.1,73,Low,6.9,Mild,Student,1,1
5040,39,Male,Japan,4.6,433.5,7.5,Good,28.1,69,Low,14.3,None,Office,0,1
5041,40,Female,Brazil,0.3,32.9,6.9,Good,22.1,67,Low,10.9,None,Office,0,0
5042,18,Male,Switzerland,3.2,307.0,6.1,Good,33.6,80,Low,6.0,Mild,Other,1,0
5043,32,Male,Belgium,3.0,280.8,7.0,Good,24.8,65,Low,12.9,None,Other,0,1
5044,25,Female,France,2.4,226.4,6.4,Good,27.9,56,Low,4.1,None,Office,0,0
5045,44,Female,Finland,1.7,160.2,7.6,Good,31.8,74,Low,14.1,Mild,Healthcare,0,1
5046,47,Female,Sweden,3.2,300.3,8.3,Excellent,20.8,85,Low,3.6,None,Service,1,0
5047,18,Male,Finland,5.1,485.8,6.0,Good,27.1,57,Low,11.0,None,Other,0,0
5048,34,Male,Norway,2.1,201.5,5.3,Fair,21.8,70,Medium,9.7,Mild,Service,0,1
5049,48,Male,Germany,0.0,1.6,6.9,Good,24.8,50,Low,8.8,None,Other,1,0
5050,32,Male,Italy,0.0,0.0,9.4,Excellent,16.4,81,Low,7.0,None,Other,0,0
5051,43,Male,USA,2.2,210.7,7.0,Good,21.9,62,Low,8.4,None,Other,0,0
5052,39,Female,USA,1.8,172.5,5.5,Fair,29.5,71,Medium,10.4,Mild,Other,0,0
5053,39,Female,South Korea,2.2,213.1,6.7,Good,27.3,71,Low,9.5,None,Healthcare,1,0
5054,31,Male,Italy,2.9,278.3,6.5,Good,22.8,72,Low,4.1,None,Healthcare,1,0
5055,20,Male,Switzerland,1.8,168.6,5.7,Fair,24.4,76,Medium,4.1,Mild,Service,0,0
5056,21,Female,Canada,6.6,630.8,7.5,Good,27.0,88,Low,9.7,None,Office,1,1
5057,43,Female,Germany,3.1,292.0,7.3,Good,27.1,68,Low,2.3,None,Service,1,0
5058,35,Female,Australia,3.9,366.0,7.8,Good,25.7,69,Low,14.6,None,Healthcare,0,1
5059,33,Male,Spain,2.3,215.2,3.0,Poor,28.0,59,High,12.7,Mild,Healthcare,0,0
5060,29,Male,Germany,2.3,216.2,7.0,Good,23.3,53,Low,6.8,None,Student,0,0
5061,31,Female,Germany,1.6,152.9,6.9,Good,18.1,64,Low,7.9,None,Student,0,0
5062,47,Female,Australia,2.6,248.2,5.4,Fair,20.1,75,Medium,5.3,Mild,Other,0,1
5063,30,Male,Brazil,0.2,20.3,7.5,Good,22.2,67,Low,2.3,None,Student,1,0
5064,18,Female,Germany,0.1,8.6,5.8,Fair,16.2,83,Medium,8.9,Mild,Office,0,0
5065,43,Male,South Korea,1.6,149.1,4.8,Poor,19.5,70,High,14.8,Mild,Service,1,0
5066,32,Male,China,1.1,102.6,7.7,Good,20.1,84,Low,2.4,None,Service,1,0
5067,35,Female,Netherlands,1.6,149.2,6.6,Good,18.8,72,Low,8.0,None,Healthcare,0,0
5068,54,Male,Norway,2.0,189.5,4.7,Poor,17.4,65,High,14.4,Moderate,Service,1,1
5069,34,Female,China,2.1,196.3,8.4,Excellent,30.9,57,Low,14.7,Mild,Office,0,1
5070,38,Male,Japan,3.7,353.3,6.5,Good,27.7,50,Low,7.3,None,Student,0,1
5071,20,Male,South Korea,3.7,347.6,5.5,Fair,22.9,65,Medium,1.1,Mild,Student,0,1
5072,32,Male,Belgium,2.5,233.4,4.7,Poor,24.7,78,High,3.8,Mild,Office,0,0
5073,42,Male,USA,5.5,520.4,4.9,Poor,22.3,68,High,10.6,Mild,Student,0,0
5074,18,Male,France,1.8,171.0,4.8,Poor,22.3,61,High,1.0,Mild,Other,0,0
5075,37,Female,South Korea,3.7,356.1,8.5,Excellent,27.7,70,Low,9.6,None,Service,0,0
5076,36,Female,Netherlands,3.3,309.6,8.9,Excellent,24.9,70,Low,6.8,None,Student,0,0
5077,35,Male,UK,2.2,206.5,8.1,Excellent,19.9,66,Low,2.7,None,Service,1,0
5078,47,Male,UK,2.3,219.0,4.7,Poor,28.6,76,High,1.5,Mild,Office,0,0
5079,39,Other,Norway,1.8,174.6,7.4,Good,25.7,68,Low,10.2,None,Student,0,1
5080,52,Male,Mexico,3.6,345.6,9.3,Excellent,27.6,87,Low,2.6,Mild,Other,0,0
5081,23,Male,South Korea,4.4,415.5,5.4,Fair,24.8,67,Medium,7.8,Mild,Other,1,0
5082,36,Male,Italy,2.6,242.7,6.5,Good,24.3,64,Low,7.4,None,Office,0,1
5083,36,Female,South Korea,0.0,0.0,9.2,Excellent,23.5,66,Low,10.1,None,Other,0,0
5084,22,Male,Brazil,3.3,315.3,6.9,Good,26.1,79,Low,6.5,None,Office,1,0
5085,46,Female,Sweden,2.2,212.0,7.5,Good,19.3,76,Low,13.7,None,Other,0,0
5086,62,Male,Norway,0.9,87.2,6.0,Good,26.2,65,Low,12.8,Mild,Student,1,0
5087,34,Male,France,2.6,248.2,4.9,Poor,17.7,61,High,12.3,Mild,Service,0,0
5088,41,Male,Belgium,2.0,187.9,7.3,Good,21.5,57,Low,4.2,None,Service,0,0
5089,36,Female,Netherlands,0.9,81.3,6.3,Good,29.8,58,Low,14.8,None,Healthcare,0,0
5090,26,Female,Finland,2.2,206.0,5.9,Fair,19.6,86,Medium,7.9,Mild,Service,0,0
5091,18,Male,Sweden,4.6,438.6,5.4,Fair,21.7,64,Medium,14.6,Mild,Other,0,0
5092,26,Male,Australia,2.7,257.7,7.6,Good,21.9,63,Low,12.6,None,Healthcare,0,1
5093,18,Female,Norway,2.5,241.2,7.2,Good,20.8,78,Low,13.0,None,Healthcare,0,0
5094,55,Female,China,3.2,301.2,8.8,Excellent,23.0,71,Low,10.6,Mild,Student,0,0
5095,33,Male,Spain,2.9,271.1,8.0,Good,24.6,81,Low,2.6,None,Student,0,0
5096,30,Female,Italy,2.1,197.5,6.9,Good,29.6,83,Low,14.4,None,Student,0,0
5097,45,Male,Canada,2.8,265.3,6.7,Good,28.1,82,Low,6.0,None,Other,0,1
5098,21,Male,Sweden,2.6,249.5,7.9,Good,26.3,66,Low,14.2,None,Other,0,0
5099,25,Male,Finland,0.0,0.0,7.2,Good,23.5,50,Low,13.2,None,Other,0,1
5100,35,Female,Brazil,3.3,312.9,8.0,Good,21.2,55,Low,12.3,None,Service,0,0
5101,47,Male,France,2.6,243.9,6.8,Good,26.3,72,Low,0.1,None,Office,0,0
5102,41,Female,Mexico,3.3,314.7,7.3,Good,25.6,82,Low,8.6,None,Student,0,0
5103,37,Female,Japan,2.5,234.8,8.4,Excellent,26.0,61,Low,3.7,None,Healthcare,0,0
5104,35,Female,Italy,2.0,187.5,4.8,Poor,22.5,75,High,13.2,Mild,Healthcare,0,1
5105,39,Male,Switzerland,1.1,101.6,8.5,Excellent,24.6,66,Low,10.5,None,Healthcare,0,0
5106,37,Male,South Korea,2.7,260.5,8.4,Excellent,24.9,87,Low,9.7,None,Office,0,1
5107,22,Female,Sweden,2.7,259.9,6.3,Good,21.6,65,Low,13.6,None,Other,1,0
5108,35,Female,Canada,4.5,429.8,6.5,Good,28.5,80,Low,4.4,None,Other,0,0
5109,22,Female,Brazil,1.8,168.7,6.4,Good,17.6,69,Low,1.6,None,Other,0,1
5110,35,Male,Germany,4.1,390.9,5.7,Fair,21.3,75,Medium,4.6,Mild,Healthcare,0,0
5111,29,Male,India,3.7,350.7,8.0,Good,20.5,66,Low,2.8,None,Office,0,0
5112,65,Female,Sweden,1.3,127.9,5.1,Fair,22.5,74,Medium,3.8,Moderate,Service,1,1
5113,34,Male,Spain,0.4,40.4,7.1,Good,21.8,50,Low,8.5,None,Office,0,0
5114,18,Female,France,4.0,382.1,4.9,Poor,21.7,58,High,6.8,Mild,Office,0,1
5115,33,Male,Brazil,3.2,302.9,5.9,Fair,27.2,61,Medium,14.7,Mild,Student,0,0
5116,41,Male,France,3.7,354.4,5.1,Fair,24.9,78,Medium,6.3,Mild,Service,0,0
5117,55,Male,India,2.7,258.7,6.7,Good,20.7,67,Low,2.3,Mild,Office,0,0
5118,27,Male,Germany,1.0,91.8,7.5,Good,26.1,50,Low,13.1,None,Service,0,0
5119,18,Male,Italy,2.8,263.2,8.0,Excellent,25.7,71,Low,4.1,None,Office,0,0
5120,44,Female,UK,3.5,330.3,6.5,Good,16.4,56,Low,1.6,None,Service,0,0
5121,18,Male,Japan,0.0,0.0,9.4,Excellent,22.1,78,Low,9.9,None,Service,0,1
5122,29,Male,Belgium,3.2,305.9,6.0,Good,26.4,76,Low,3.8,None,Service,0,0
5123,31,Female,Switzerland,3.7,355.6,7.4,Good,25.5,57,Low,0.2,None,Student,0,0
5124,34,Male,UK,3.9,370.3,8.1,Excellent,26.4,75,Low,10.0,None,Other,0,1
5125,43,Male,Canada,3.2,302.6,6.1,Good,20.7,87,Low,1.1,None,Office,0,0
5126,26,Female,Italy,1.9,177.5,7.4,Good,25.6,57,Low,0.0,None,Student,0,1
5127,31,Female,Italy,2.4,228.2,3.7,Poor,16.9,72,High,10.2,Mild,Office,1,1
5128,34,Male,Spain,0.3,27.0,8.3,Excellent,23.2,72,Low,6.8,None,Office,0,0
5129,36,Male,Canada,4.1,387.2,5.4,Fair,30.9,65,Medium,12.1,Moderate,Healthcare,0,0
5130,36,Female,Australia,3.7,350.3,8.3,Excellent,27.5,74,Low,2.5,None,Healthcare,1,1
5131,40,Male,Norway,2.0,189.9,6.7,Good,24.7,65,Low,7.7,None,Student,0,0
5132,45,Female,Netherlands,3.4,322.5,7.7,Good,21.7,57,Low,1.7,None,Office,0,0
5133,39,Female,Sweden,3.4,326.0,5.8,Fair,29.0,77,Medium,6.1,Mild,Student,0,0
5134,40,Female,USA,0.9,81.1,10.0,Excellent,24.0,64,Low,5.3,None,Other,0,1
5135,18,Male,Finland,5.6,527.5,6.4,Good,22.4,60,Low,9.6,None,Other,0,0
5136,35,Male,Canada,1.2,117.9,9.6,Excellent,29.4,75,Low,9.4,None,Healthcare,0,0
5137,40,Female,Germany,0.0,0.0,7.0,Good,24.3,72,Low,3.9,None,Healthcare,0,0
5138,43,Male,Canada,3.1,294.8,6.1,Good,25.4,86,Low,0.8,None,Student,0,0
5139,26,Male,Norway,3.0,285.5,7.4,Good,18.3,76,Low,1.6,None,Other,0,0
5140,27,Female,UK,1.9,181.2,8.2,Excellent,22.0,66,Low,13.7,None,Other,0,1
5141,28,Male,India,2.8,267.4,7.7,Good,26.9,78,Low,10.9,None,Student,0,0
5142,41,Male,Canada,1.3,125.7,7.5,Good,23.8,60,Low,14.1,None,Other,0,0
5143,47,Female,Finland,0.0,0.0,7.1,Good,23.5,84,Low,9.3,None,Healthcare,0,1
5144,30,Male,Sweden,4.0,376.5,7.5,Good,19.7,66,Low,13.2,None,Student,0,0
5145,45,Male,Finland,3.0,281.0,7.1,Good,27.5,54,Low,11.6,None,Service,0,0
5146,36,Male,Japan,1.9,184.6,6.6,Good,22.5,64,Low,3.7,None,Service,0,0
5147,33,Female,Australia,5.1,486.2,6.1,Good,24.9,67,Low,11.2,None,Service,0,0
5148,32,Male,UK,2.1,195.5,8.4,Excellent,29.5,80,Low,9.1,None,Other,0,0
5149,43,Male,South Korea,3.4,321.9,4.9,Poor,30.9,61,High,2.5,Moderate,Healthcare,0,1
5150,38,Female,India,1.0,97.9,7.9,Good,20.8,65,Low,1.4,None,Healthcare,0,0
5151,62,Female,France,0.0,0.0,7.9,Good,22.8,70,Low,5.5,Mild,Other,1,0
5152,24,Male,USA,3.4,325.1,9.2,Excellent,26.3,71,Low,8.8,None,Healthcare,0,0
5153,41,Female,Norway,3.4,320.8,3.0,Poor,21.3,87,High,8.4,Mild,Student,1,1
5154,28,Male,UK,5.4,510.3,4.4,Poor,28.0,79,High,7.2,Mild,Student,0,0
5155,24,Female,Brazil,0.8,77.2,5.8,Fair,26.6,62,Medium,7.2,Mild,Other,1,1
5156,34,Male,Mexico,0.0,0.0,6.2,Good,26.5,76,Low,0.2,None,Healthcare,0,0
5157,36,Male,Netherlands,1.6,150.0,7.9,Good,23.1,67,Low,0.3,None,Other,0,0
5158,70,Female,Spain,3.3,316.4,4.9,Poor,24.3,89,High,6.1,Moderate,Healthcare,1,0
5159,32,Male,Switzerland,0.0,0.0,6.7,Good,26.0,67,Low,7.7,None,Healthcare,0,0
5160,21,Male,Canada,2.6,248.9,5.8,Fair,24.8,78,Medium,10.1,Mild,Student,0,0
5161,38,Male,Italy,1.8,171.6,6.4,Good,18.0,81,Low,10.0,None,Student,0,1
5162,18,Female,Canada,1.9,180.6,8.4,Excellent,29.4,67,Low,14.8,None,Student,0,1
5163,33,Male,Germany,1.2,112.5,7.5,Good,24.6,69,Low,5.9,None,Office,0,1
5164,35,Male,China,4.2,395.7,5.6,Fair,24.1,67,Medium,1.9,Mild,Other,0,0
5165,44,Male,Belgium,0.1,10.3,5.3,Fair,28.9,76,Medium,4.5,Mild,Service,0,0
5166,46,Male,Mexico,3.9,372.6,7.1,Good,23.6,96,Low,11.5,None,Healthcare,0,0
5167,28,Male,India,3.2,306.4,5.7,Fair,20.0,77,Medium,3.7,Mild,Office,0,0
5168,33,Male,Japan,1.8,169.4,6.4,Good,22.8,74,Low,12.3,None,Student,1,0
5169,25,Male,Finland,4.8,457.1,6.0,Fair,28.9,64,Medium,12.1,Mild,Other,0,0
5170,21,Male,Italy,0.0,0.0,8.3,Excellent,20.2,80,Low,7.0,None,Healthcare,0,0
5171,38,Female,Norway,4.0,379.8,6.0,Fair,16.4,73,Medium,11.0,Mild,Healthcare,0,1
5172,19,Female,Italy,0.8,80.6,6.4,Good,21.7,93,Low,12.0,None,Office,0,1
5173,30,Female,France,1.8,172.2,5.6,Fair,25.8,88,Medium,10.9,Mild,Student,0,0
5174,23,Male,Belgium,3.0,281.9,5.6,Fair,28.7,72,Medium,4.7,Mild,Service,0,0
5175,41,Female,Belgium,4.1,386.6,7.5,Good,24.8,75,Low,2.5,None,Healthcare,0,0
5176,56,Male,South Korea,1.1,101.3,6.8,Good,22.5,70,Low,1.8,Mild,Student,0,0
5177,19,Other,Brazil,3.4,318.8,6.3,Good,18.3,61,Low,14.5,None,Office,0,0
5178,18,Male,Australia,1.8,175.0,5.1,Fair,21.9,78,Medium,1.4,Mild,Other,0,1
5179,33,Male,Australia,1.2,115.8,5.6,Fair,16.4,68,Medium,6.6,Mild,Other,0,0
5180,35,Male,Spain,0.0,3.2,7.6,Good,28.3,91,Low,1.5,None,Office,0,0
5181,37,Male,Spain,1.9,183.4,6.5,Good,19.7,71,Low,11.9,None,Service,1,0
5182,29,Female,Canada,0.6,55.1,6.7,Good,20.9,57,Low,8.3,None,Other,1,1
5183,32,Female,Mexico,0.7,63.3,7.3,Good,18.9,74,Low,2.6,None,Office,0,0
5184,39,Other,Mexico,1.8,168.1,7.5,Good,23.4,79,Low,14.4,None,Other,0,1
5185,47,Female,Netherlands,2.1,203.6,7.5,Good,25.1,76,Low,12.7,None,Office,0,0
5186,18,Male,Italy,1.7,159.3,6.4,Good,28.4,73,Low,1.9,None,Other,0,1
5187,30,Male,Italy,2.6,247.4,6.5,Good,23.7,70,Low,12.2,None,Service,1,0
5188,37,Other,Japan,5.0,477.6,6.9,Good,21.1,75,Low,12.7,None,Office,0,0
5189,23,Female,Australia,1.5,141.9,4.1,Poor,27.9,72,High,11.6,Mild,Service,1,0
5190,55,Female,Japan,1.2,110.2,7.0,Good,25.4,59,Low,5.3,Mild,Service,0,0
5191,27,Male,Belgium,1.1,104.1,7.7,Good,23.8,90,Low,3.8,None,Healthcare,0,0
5192,34,Female,China,0.0,0.0,6.2,Good,22.3,73,Low,7.9,None,Office,0,0
5193,41,Female,Belgium,1.5,147.0,5.2,Fair,20.3,71,Medium,7.1,Mild,Service,0,0
5194,27,Male,Brazil,5.2,491.3,7.9,Good,26.5,89,Low,8.8,None,Healthcare,0,0
5195,18,Male,Japan,2.6,247.5,5.7,Fair,23.8,57,Medium,6.3,Mild,Healthcare,0,1
5196,29,Male,South Korea,1.9,179.9,6.7,Good,17.9,93,Low,3.2,None,Service,0,0
5197,47,Female,Spain,3.3,312.4,6.9,Good,23.0,63,Low,8.6,None,Student,0,0
5198,30,Male,South Korea,1.9,176.3,5.6,Fair,27.7,85,Medium,8.1,Mild,Office,0,0
5199,24,Male,Canada,4.4,414.0,4.5,Poor,33.1,62,High,13.6,Moderate,Office,0,1
5200,46,Male,Belgium,2.3,219.7,7.0,Good,23.0,62,Low,9.5,None,Student,0,0
5201,31,Female,South Korea,4.6,436.8,4.6,Poor,27.1,78,High,11.5,Mild,Office,0,1
5202,28,Male,France,2.9,274.9,7.4,Good,22.4,73,Low,6.4,None,Service,1,0
5203,36,Male,Australia,3.3,312.9,6.3,Good,24.4,62,Low,12.3,None,Healthcare,0,0
5204,44,Female,Norway,2.3,215.8,9.2,Excellent,25.3,62,Low,4.6,None,Healthcare,1,0
5205,63,Female,Brazil,4.0,375.6,6.6,Good,29.6,68,Low,14.7,Mild,Student,0,0
5206,44,Male,UK,5.0,479.3,5.4,Fair,28.5,83,Medium,12.2,Mild,Service,0,1
5207,48,Female,Mexico,3.3,314.0,7.5,Good,26.5,74,Low,0.1,None,Service,1,1
5208,28,Female,Belgium,2.2,211.7,8.0,Good,20.7,76,Low,12.3,None,Healthcare,1,0
5209,22,Male,USA,4.0,376.4,4.8,Poor,26.0,66,High,8.1,Mild,Other,0,1
5210,35,Male,Norway,1.8,170.4,7.2,Good,30.0,75,Low,8.7,Mild,Other,0,1
5211,36,Female,Norway,4.6,439.4,6.7,Good,26.3,58,Low,15.0,None,Office,0,0
5212,22,Male,Brazil,1.7,165.2,7.9,Good,26.8,62,Low,10.8,None,Office,0,0
5213,32,Male,China,2.4,227.2,5.4,Fair,24.6,80,Medium,2.0,Mild,Office,0,0
5214,39,Female,Japan,3.8,361.4,7.3,Good,22.7,75,Low,11.3,None,Service,0,0
5215,39,Male,Australia,0.0,0.0,7.5,Good,26.2,88,Low,3.0,None,Healthcare,1,0
5216,41,Female,Spain,3.0,282.4,6.3,Good,23.2,77,Low,14.0,None,Service,0,0
5217,38,Male,Finland,2.7,260.2,9.8,Excellent,17.7,58,Low,4.0,None,Student,1,0
5218,28,Female,Brazil,1.8,171.2,5.3,Fair,29.4,79,Medium,6.9,Mild,Healthcare,1,1
5219,28,Male,Japan,2.0,191.3,6.4,Good,26.7,57,Low,12.2,None,Healthcare,0,1
5220,20,Female,Netherlands,1.2,117.1,5.7,Fair,16.1,77,Medium,14.5,Mild,Healthcare,0,0
5221,56,Female,Brazil,1.1,100.4,7.2,Good,15.0,68,Low,2.4,Mild,Healthcare,0,0
5222,35,Female,USA,1.9,178.4,8.8,Excellent,23.2,63,Low,1.0,None,Office,0,1
5223,32,Male,Canada,1.0,95.6,8.6,Excellent,26.4,70,Low,11.9,None,Healthcare,0,0
5224,23,Female,China,3.3,310.2,3.4,Poor,21.6,59,High,12.9,Mild,Service,0,0
5225,70,Female,Brazil,1.4,135.0,8.7,Excellent,20.4,67,Low,9.0,Mild,Healthcare,1,0
5226,22,Female,Mexico,3.7,351.3,5.8,Fair,23.4,51,Medium,2.6,Mild,Student,1,1
5227,29,Male,South Korea,1.1,102.6,6.0,Fair,23.4,81,Medium,2.4,Mild,Other,1,0
5228,39,Female,Netherlands,0.6,53.9,7.1,Good,23.1,73,Low,6.9,None,Service,0,0
5229,42,Male,Switzerland,2.2,206.3,6.3,Good,19.4,69,Low,2.9,None,Service,0,0
5230,46,Female,Germany,0.8,72.6,6.5,Good,24.7,75,Low,5.2,None,Service,0,1
5231,56,Female,Switzerland,2.3,218.0,5.8,Fair,24.0,59,Medium,11.9,Moderate,Office,0,1
5232,41,Male,Finland,1.3,125.1,7.2,Good,18.0,68,Low,1.6,None,Student,0,0
5233,22,Male,Japan,0.6,57.8,8.4,Excellent,25.9,76,Low,4.6,None,Healthcare,0,1
5234,31,Male,Spain,0.6,59.6,7.1,Good,22.5,61,Low,5.9,None,Student,1,0
5235,38,Female,Spain,4.3,404.8,6.2,Good,20.8,83,Low,3.4,None,Healthcare,0,1
5236,59,Male,France,3.6,337.4,7.2,Good,24.7,69,Low,10.6,Mild,Office,0,1
5237,18,Male,Italy,0.5,50.8,8.4,Excellent,22.8,52,Low,7.0,None,Other,0,0
5238,49,Female,Switzerland,1.3,124.5,7.0,Good,22.5,73,Low,14.2,None,Office,1,0
5239,37,Male,Switzerland,4.7,449.3,6.1,Good,20.7,69,Low,5.1,None,Student,0,1
5240,45,Male,Norway,2.5,233.3,7.4,Good,25.1,91,Low,13.9,None,Office,0,0
5241,33,Female,Spain,2.0,188.6,5.9,Fair,28.8,68,Medium,8.5,Mild,Student,0,0
5242,24,Male,Norway,2.7,252.8,4.1,Poor,23.7,79,High,8.1,Mild,Student,0,1
5243,44,Male,Mexico,2.9,275.1,7.3,Good,21.3,67,Low,3.5,None,Student,0,0
5244,42,Male,Italy,2.5,236.0,6.1,Good,27.5,55,Low,14.2,None,Office,0,1
5245,46,Female,Brazil,1.3,123.1,6.2,Good,24.3,73,Low,4.8,None,Other,0,1
5246,34,Female,India,0.0,0.0,4.7,Poor,18.4,73,High,8.2,Mild,Healthcare,0,1
5247,27,Male,China,2.5,234.6,5.7,Fair,24.9,80,Medium,14.1,Mild,Other,0,0
5248,18,Male,Switzerland,0.0,0.0,6.6,Good,21.3,52,Low,12.8,None,Healthcare,0,0
5249,44,Male,USA,1.8,167.8,8.5,Excellent,27.1,75,Low,4.6,None,Office,0,0
5250,40,Female,Netherlands,1.5,144.1,8.9,Excellent,16.2,75,Low,12.1,None,Student,0,0
5251,23,Male,Switzerland,1.4,134.2,6.6,Good,23.5,74,Low,10.2,None,Healthcare,0,1
5252,28,Female,South Korea,3.1,298.0,7.2,Good,28.5,50,Low,0.5,None,Healthcare,1,0
5253,29,Male,India,2.2,207.1,5.3,Fair,22.6,81,Medium,7.4,Mild,Office,0,0
5254,18,Female,Italy,3.2,305.0,6.7,Good,23.5,60,Low,6.3,None,Service,0,0
5255,25,Female,USA,0.0,0.0,6.5,Good,21.1,79,Low,9.9,None,Healthcare,0,0
5256,21,Female,Finland,3.6,345.3,4.6,Poor,23.3,89,High,10.5,Mild,Office,0,0
5257,30,Male,Norway,3.9,368.6,7.8,Good,18.4,79,Low,10.6,None,Other,1,0
5258,26,Female,France,2.4,230.4,6.9,Good,19.1,73,Low,6.9,None,Service,0,0
5259,18,Male,Brazil,5.4,513.4,7.0,Good,18.8,70,Low,14.2,None,Other,1,1
5260,59,Male,Spain,3.5,333.7,6.0,Good,29.7,73,Low,1.1,Mild,Student,1,0
5261,50,Male,China,2.4,232.6,3.9,Poor,18.0,60,High,9.7,Mild,Student,0,1
5262,25,Female,China,4.6,441.6,4.6,Poor,20.8,76,High,6.6,Mild,Healthcare,0,1
5263,38,Female,Mexico,2.6,249.5,7.7,Good,17.8,69,Low,3.5,None,Other,0,1
5264,40,Female,Brazil,1.1,105.9,6.5,Good,30.1,58,Low,2.1,Mild,Service,0,0
5265,49,Female,Switzerland,3.7,353.1,7.2,Good,21.9,62,Low,6.9,None,Other,0,0
5266,25,Male,Germany,4.8,453.2,5.8,Fair,18.3,72,Medium,4.6,Mild,Office,0,0
5267,48,Female,UK,0.2,18.9,7.1,Good,21.0,56,Low,3.3,None,Other,0,0
5268,28,Female,Switzerland,1.8,171.5,6.7,Good,20.2,71,Low,0.5,None,Healthcare,1,1
5269,18,Female,China,1.7,164.9,5.6,Fair,27.6,83,Medium,4.7,Mild,Other,0,0
5270,43,Male,Japan,0.6,55.8,7.2,Good,23.1,72,Low,14.0,None,Office,0,1
5271,50,Female,UK,2.1,197.3,8.5,Excellent,19.3,69,Low,8.1,None,Service,0,0
5272,66,Female,USA,1.3,126.0,6.2,Good,29.7,62,Low,3.6,Mild,Student,0,1
5273,20,Female,Japan,3.1,297.5,4.5,Poor,26.2,75,High,14.6,Mild,Office,0,1
5274,43,Male,France,3.2,307.9,7.4,Good,20.5,56,Low,9.8,None,Office,1,0
5275,30,Female,USA,2.7,257.3,4.9,Poor,25.6,70,High,7.6,Mild,Student,0,0
5276,44,Female,Belgium,2.8,267.6,5.4,Fair,17.8,72,Medium,14.0,Mild,Other,0,0
5277,18,Male,Japan,4.8,451.9,6.0,Fair,17.0,66,Medium,11.7,Mild,Healthcare,0,0
5278,19,Male,South Korea,5.5,524.6,6.9,Good,19.4,75,Low,8.0,None,Service,0,1
5279,25,Male,Mexico,3.4,324.2,7.1,Good,27.1,91,Low,0.1,None,Other,0,1
5280,35,Female,UK,1.7,165.4,6.4,Good,30.0,75,Low,6.2,None,Student,0,0
5281,27,Male,Belgium,2.9,277.3,5.0,Poor,19.7,83,High,12.0,Mild,Healthcare,0,0
5282,42,Male,France,2.5,241.9,9.8,Excellent,24.2,79,Low,4.3,None,Service,0,0
5283,47,Female,Germany,3.5,334.8,6.7,Good,30.8,86,Low,0.8,Mild,Healthcare,1,1
5284,42,Female,Mexico,1.2,111.4,7.8,Good,27.0,65,Low,9.1,None,Student,1,0
5285,54,Male,Netherlands,3.6,343.7,7.0,Good,21.7,51,Low,13.5,Mild,Healthcare,0,0
5286,39,Male,India,2.6,249.2,8.4,Excellent,27.6,68,Low,14.8,None,Service,0,1
5287,20,Female,UK,2.4,225.4,5.4,Fair,27.6,61,Medium,1.7,Mild,Other,0,0
5288,51,Female,Italy,2.4,231.1,7.1,Good,20.6,65,Low,14.4,Mild,Student,1,1
5289,27,Male,Spain,4.5,429.6,5.9,Fair,15.0,64,Medium,5.8,Mild,Healthcare,0,0
5290,45,Female,Sweden,6.6,627.3,4.7,Poor,20.7,78,High,11.2,Mild,Student,0,1
5291,53,Male,Finland,2.7,254.3,8.2,Excellent,23.1,85,Low,3.1,Mild,Service,0,1
5292,40,Female,China,1.4,133.3,5.7,Fair,19.2,82,Medium,10.1,Mild,Service,0,0
5293,18,Male,China,2.5,235.8,7.2,Good,22.5,70,Low,10.1,None,Other,1,0
5294,23,Male,Japan,3.0,281.5,8.6,Excellent,30.9,53,Low,4.2,Mild,Service,0,0
5295,50,Male,Italy,2.7,260.5,8.6,Excellent,25.7,63,Low,6.7,None,Other,0,0
5296,32,Male,Sweden,2.8,261.7,5.5,Fair,19.3,56,Medium,6.2,Mild,Office,0,0
5297,35,Female,Mexico,2.2,212.3,7.8,Good,19.2,70,Low,9.8,None,Other,0,0
5298,44,Female,Norway,4.5,429.6,7.0,Good,27.7,79,Low,14.7,None,Healthcare,0,0
5299,43,Female,Belgium,2.1,199.1,5.3,Fair,23.3,92,Medium,8.6,Mild,Office,1,1
5300,38,Male,South Korea,3.7,352.2,4.2,Poor,25.8,72,High,8.2,Mild,Service,0,0
5301,32,Male,Canada,0.2,22.3,7.0,Good,25.4,50,Low,5.1,None,Healthcare,0,0
5302,31,Male,Finland,1.7,156.8,8.2,Excellent,23.7,55,Low,10.2,None,Healthcare,0,0
5303,45,Male,Spain,2.9,279.3,10.0,Excellent,33.5,69,Low,12.7,Mild,Healthcare,0,1
5304,41,Female,Norway,2.5,233.0,5.9,Fair,22.2,90,Medium,1.5,Mild,Service,0,0
5305,31,Male,Germany,4.3,410.9,6.6,Good,18.8,82,Low,3.6,None,Service,0,0
5306,47,Female,China,2.9,275.9,5.3,Fair,24.6,54,Medium,8.9,Mild,Healthcare,1,0
5307,33,Female,South Korea,4.5,426.3,8.2,Excellent,23.9,57,Low,1.3,None,Office,0,0
5308,24,Male,Japan,3.2,306.9,6.9,Good,25.4,50,Low,5.2,None,Healthcare,1,1
5309,25,Female,India,1.3,121.1,7.3,Good,22.2,77,Low,7.2,None,Service,1,1
5310,23,Male,Brazil,2.2,210.1,6.8,Good,22.3,64,Low,12.1,None,Service,0,0
5311,31,Male,South Korea,2.3,219.0,5.7,Fair,29.2,64,Medium,7.9,Mild,Other,0,1
5312,49,Female,Spain,4.4,419.5,7.4,Good,27.8,81,Low,5.7,None,Student,0,1
5313,25,Male,Switzerland,2.1,202.2,7.9,Good,23.1,60,Low,2.2,None,Office,1,0
5314,37,Male,South Korea,2.3,218.0,8.2,Excellent,25.4,61,Low,3.0,None,Other,0,1
5315,27,Female,China,1.9,180.6,8.0,Good,25.8,72,Low,7.8,None,Student,1,1
5316,31,Male,Switzerland,2.7,254.9,5.5,Fair,23.8,69,Medium,12.1,Mild,Service,0,0
5317,18,Female,Spain,3.5,330.4,6.2,Good,18.7,80,Low,6.0,None,Student,0,1
5318,32,Male,Japan,3.6,337.4,7.0,Good,15.0,61,Low,3.4,None,Service,0,1
5319,32,Male,Belgium,2.0,192.9,5.9,Fair,26.8,73,Medium,5.7,Mild,Healthcare,0,0
5320,41,Female,Japan,0.0,0.0,5.6,Fair,22.4,65,Medium,0.8,Mild,Office,0,0
5321,37,Female,Germany,2.9,276.8,6.2,Good,29.6,69,Low,8.0,None,Service,1,0
5322,20,Male,Belgium,2.7,252.0,6.8,Good,18.5,69,Low,1.1,None,Service,0,1
5323,48,Male,South Korea,2.7,259.3,10.0,Excellent,25.7,66,Low,12.7,None,Service,1,0
5324,37,Female,Italy,2.5,238.4,8.2,Excellent,19.3,79,Low,11.4,None,Student,0,0
5325,37,Male,Norway,3.0,281.0,5.7,Fair,24.7,72,Medium,10.5,Mild,Service,0,1
5326,34,Female,India,0.0,0.0,6.1,Good,21.6,57,Low,14.2,None,Healthcare,0,1
5327,28,Female,Norway,2.7,258.3,5.3,Fair,16.2,73,Medium,13.3,Mild,Other,0,1
5328,37,Female,Mexico,1.0,95.9,7.8,Good,26.8,66,Low,0.0,None,Other,0,1
5329,40,Female,Brazil,4.3,406.3,5.9,Fair,25.7,67,Medium,11.7,Mild,Other,0,1
5330,18,Female,Belgium,2.7,255.1,6.4,Good,26.0,77,Low,8.8,None,Service,0,1
5331,28,Female,Australia,1.4,134.3,6.2,Good,29.1,67,Low,6.5,None,Healthcare,0,0
5332,31,Female,China,0.7,69.1,9.6,Excellent,27.1,71,Low,4.3,None,Student,0,1
5333,38,Female,Canada,1.2,115.5,8.4,Excellent,22.4,76,Low,2.9,None,Office,1,0
5334,49,Male,China,1.5,146.0,5.6,Fair,32.1,70,Medium,13.2,Moderate,Student,0,1
5335,25,Male,Japan,2.6,243.2,5.2,Fair,26.4,50,Medium,5.4,Mild,Service,0,1
5336,29,Female,Sweden,0.7,67.4,8.3,Excellent,20.0,80,Low,6.7,None,Healthcare,0,0
5337,28,Female,Switzerland,2.9,272.0,5.4,Fair,22.9,52,Medium,10.7,Mild,Office,0,1
5338,25,Male,Finland,4.0,380.4,8.0,Good,21.4,60,Low,11.8,None,Service,0,0
5339,30,Male,Italy,4.2,394.7,7.3,Good,31.5,68,Low,9.4,Mild,Healthcare,0,1
5340,44,Female,Belgium,1.9,182.8,5.6,Fair,27.8,70,Medium,6.3,Mild,Student,0,0
5341,22,Female,Germany,2.5,233.5,7.4,Good,25.1,54,Low,1.0,None,Healthcare,0,0
5342,40,Male,UK,1.5,143.2,7.3,Good,22.4,72,Low,9.2,None,Healthcare,0,0
5343,18,Female,Finland,0.7,65.6,5.0,Poor,32.0,79,High,12.7,Moderate,Student,0,0
5344,28,Other,Switzerland,1.7,160.8,6.8,Good,28.9,68,Low,0.7,None,Other,0,0
5345,31,Female,Germany,0.0,0.0,6.6,Good,22.2,66,Low,5.3,None,Office,0,0
5346,55,Female,Netherlands,0.0,0.0,7.4,Good,24.4,81,Low,3.7,Mild,Student,0,1
5347,31,Male,India,3.0,280.6,6.4,Good,26.2,66,Low,8.1,None,Office,0,0
5348,18,Female,China,2.9,273.6,7.0,Good,20.9,50,Low,0.2,None,Service,1,1
5349,18,Female,Italy,4.3,411.3,5.6,Fair,21.0,74,Medium,13.2,Mild,Service,0,0
5350,35,Female,Switzerland,4.7,442.0,6.2,Good,32.1,66,Low,11.9,Mild,Other,0,0
5351,42,Male,Canada,2.8,263.4,5.0,Poor,23.8,64,High,1.6,Mild,Other,0,0
5352,39,Male,Netherlands,1.1,103.1,6.4,Good,22.7,86,Low,13.4,None,Student,0,0
5353,37,Male,Switzerland,1.1,102.6,6.3,Good,27.3,60,Low,11.5,None,Student,0,0
5354,48,Male,Norway,0.9,89.3,5.1,Fair,19.8,63,Medium,14.3,Mild,Office,0,0
5355,28,Female,Belgium,2.9,273.4,6.6,Good,24.1,61,Low,3.9,None,Student,0,0
5356,45,Female,Germany,1.4,130.5,8.7,Excellent,29.3,77,Low,12.8,None,Other,0,1
5357,18,Female,Mexico,0.4,37.3,6.1,Good,17.8,79,Low,2.2,None,Other,0,0
5358,24,Female,Italy,3.1,297.5,7.9,Good,21.4,78,Low,10.4,None,Other,1,0
5359,18,Male,Italy,3.8,360.1,6.8,Good,23.0,73,Low,1.1,None,Office,1,0
5360,31,Female,Japan,1.4,131.1,4.4,Poor,21.0,74,High,10.7,Mild,Student,1,1
5361,34,Female,China,2.4,232.6,9.6,Excellent,28.6,76,Low,2.3,None,Student,0,0
5362,36,Female,Australia,4.7,445.8,5.2,Fair,29.0,83,Medium,11.0,Mild,Office,0,1
5363,35,Female,UK,3.9,370.5,6.4,Good,25.8,93,Low,6.6,None,Office,1,0
5364,23,Female,China,1.1,106.0,7.3,Good,23.7,74,Low,2.0,None,Healthcare,0,0
5365,32,Female,Brazil,4.8,459.0,6.2,Good,30.4,66,Low,8.6,Mild,Office,0,0
5366,18,Male,UK,3.6,339.9,7.4,Good,22.3,50,Low,0.4,None,Student,0,0
5367,51,Female,Germany,4.9,469.1,7.7,Good,24.5,82,Low,3.6,Mild,Student,0,1
5368,31,Female,Norway,2.2,211.8,5.6,Fair,25.0,83,Medium,4.4,Mild,Other,0,0
5369,29,Male,Finland,1.2,115.7,6.6,Good,22.2,64,Low,14.9,None,Other,0,0
5370,54,Female,South Korea,2.4,231.9,5.8,Fair,23.2,72,Medium,11.9,Moderate,Healthcare,0,0
5371,20,Female,USA,0.4,36.5,6.1,Good,19.6,77,Low,4.7,None,Office,0,0
5372,21,Female,USA,3.7,355.5,6.6,Good,28.6,56,Low,5.5,None,Service,0,0
5373,21,Female,UK,1.7,158.7,7.9,Good,16.1,50,Low,6.6,None,Healthcare,0,0
5374,34,Female,China,3.1,293.1,4.6,Poor,24.3,66,High,11.8,Mild,Office,0,1
5375,40,Male,Sweden,5.7,545.8,6.0,Fair,21.1,65,Medium,10.2,Mild,Student,0,0
5376,43,Male,Brazil,1.8,168.0,5.7,Fair,23.4,85,Medium,8.1,Mild,Healthcare,0,0
5377,65,Female,China,2.5,237.5,7.4,Good,16.0,71,Low,6.7,Mild,Healthcare,0,1
5378,18,Female,Japan,1.8,170.9,7.4,Good,28.3,79,Low,3.8,None,Office,1,0
5379,42,Female,Switzerland,2.3,216.8,7.8,Good,22.6,50,Low,6.8,None,Student,1,1
5380,28,Male,Norway,2.1,204.1,5.2,Fair,26.4,68,Medium,11.6,Mild,Office,0,1
5381,27,Male,Germany,4.0,380.0,6.8,Good,24.1,67,Low,6.7,None,Student,1,1
5382,27,Female,Finland,3.8,364.2,6.3,Good,23.2,73,Low,7.9,None,Student,1,0
5383,24,Male,UK,2.2,205.1,4.7,Poor,25.6,78,High,5.1,Mild,Other,0,0
5384,55,Female,France,2.7,254.6,4.8,Poor,19.3,67,High,7.3,Moderate,Service,0,0
5385,45,Female,USA,2.0,189.8,6.2,Good,24.0,81,Low,11.4,None,Other,0,0
5386,35,Female,UK,4.6,439.2,6.3,Good,18.3,71,Low,13.8,None,Healthcare,0,0
5387,51,Male,Spain,0.0,0.0,8.5,Excellent,19.9,63,Low,7.4,Mild,Healthcare,1,0
5388,18,Female,Finland,1.3,125.6,6.4,Good,21.9,67,Low,2.2,None,Office,0,0
5389,19,Female,France,3.1,298.2,7.0,Good,21.0,50,Low,11.6,None,Office,0,1
5390,18,Male,Norway,3.8,357.8,6.5,Good,24.8,83,Low,11.4,None,Office,0,0
5391,26,Male,Mexico,4.4,418.3,5.2,Fair,18.5,71,Medium,10.1,Mild,Other,0,0
5392,36,Male,Italy,2.5,237.5,6.1,Good,26.5,76,Low,8.7,None,Student,0,0
5393,36,Male,Belgium,1.6,153.4,6.8,Good,32.7,82,Low,4.8,Mild,Service,0,0
5394,36,Female,Australia,2.5,233.6,5.1,Fair,28.1,53,Medium,11.2,Mild,Healthcare,0,0
5395,18,Female,Italy,4.0,375.5,7.1,Good,25.7,50,Low,14.8,None,Healthcare,0,0
5396,44,Other,UK,1.6,149.9,8.5,Excellent,21.7,85,Low,7.0,None,Office,0,0
5397,37,Female,India,2.4,228.8,8.6,Excellent,24.7,61,Low,2.4,None,Other,0,0
5398,43,Female,Japan,2.1,194.8,7.5,Good,26.2,71,Low,3.4,None,Office,0,1
5399,18,Male,USA,4.4,415.2,6.8,Good,28.5,67,Low,3.9,None,Other,0,0
5400,38,Female,Canada,0.8,71.9,4.7,Poor,30.8,71,High,9.5,Moderate,Student,0,1
5401,20,Female,Switzerland,0.0,0.0,5.8,Fair,21.6,80,Medium,11.5,Mild,Office,0,1
5402,30,Female,Netherlands,2.3,219.9,5.0,Fair,17.8,59,Medium,5.2,Mild,Student,0,0
5403,41,Female,France,3.4,325.9,5.9,Fair,25.9,88,Medium,11.0,Mild,Healthcare,0,0
5404,36,Female,Australia,1.7,164.7,7.7,Good,23.4,67,Low,1.3,None,Healthcare,0,0
5405,24,Female,France,0.0,0.0,7.3,Good,20.1,86,Low,13.5,None,Healthcare,0,0
5406,35,Female,Norway,3.5,330.0,6.9,Good,21.6,50,Low,1.0,None,Student,0,0
5407,18,Male,USA,1.8,174.1,7.3,Good,19.9,62,Low,12.0,None,Office,0,0
5408,48,Female,Australia,2.8,269.6,5.7,Fair,24.7,59,Medium,10.7,Mild,Other,0,0
5409,32,Female,Switzerland,2.1,195.5,6.4,Good,31.9,58,Low,9.7,Mild,Other,0,1
5410,48,Male,USA,0.0,0.0,7.3,Good,24.3,82,Low,0.9,None,Office,0,1
5411,28,Male,South Korea,3.0,283.8,7.9,Good,22.6,61,Low,7.8,None,Service,1,1
5412,28,Female,Switzerland,3.4,318.6,6.3,Good,28.4,81,Low,1.8,None,Other,0,0
5413,25,Male,Belgium,2.2,209.7,6.4,Good,25.3,78,Low,6.6,None,Other,0,0
5414,45,Male,Italy,0.8,76.8,5.2,Fair,26.3,81,Medium,2.5,Mild,Office,0,0
5415,26,Female,Germany,5.3,499.6,5.2,Fair,31.8,55,Medium,2.3,Moderate,Office,0,0
5416,42,Female,Brazil,3.1,293.1,6.8,Good,16.9,78,Low,8.6,None,Office,0,0
5417,30,Female,Sweden,0.5,42.8,6.7,Good,18.6,83,Low,4.3,None,Service,0,0
5418,18,Male,Canada,6.0,565.3,4.3,Poor,22.9,83,High,11.6,Mild,Student,0,0
5419,28,Male,Switzerland,1.6,150.3,5.0,Poor,29.4,70,High,3.8,Mild,Healthcare,0,0
5420,20,Male,Spain,4.5,427.3,5.0,Fair,23.1,55,Medium,5.0,Mild,Student,0,0
5421,35,Male,Switzerland,3.5,330.9,6.1,Good,27.2,72,Low,8.9,None,Student,0,0
5422,20,Male,Australia,3.0,288.1,7.7,Good,18.7,77,Low,0.1,None,Office,1,0
5423,46,Female,Spain,4.6,435.6,6.6,Good,27.2,67,Low,12.6,None,Office,0,1
5424,33,Female,Belgium,0.0,0.0,5.8,Fair,24.4,69,Medium,1.4,Mild,Office,0,0
5425,32,Male,Finland,3.4,319.1,5.6,Fair,21.0,81,Medium,0.4,Mild,Healthcare,0,0
5426,42,Male,South Korea,2.0,189.4,7.3,Good,29.3,73,Low,11.6,None,Student,0,0
5427,46,Female,South Korea,6.1,580.5,6.5,Good,27.4,87,Low,12.0,None,Healthcare,0,0
5428,34,Female,Australia,0.0,0.0,6.2,Good,24.5,72,Low,9.6,None,Other,0,1
5429,25,Male,Finland,3.0,282.0,3.8,Poor,23.4,69,High,12.5,Mild,Student,0,0
5430,18,Female,South Korea,3.1,292.1,6.9,Good,17.8,80,Low,13.8,None,Healthcare,0,0
5431,26,Male,Switzerland,1.6,152.1,6.4,Good,22.3,78,Low,3.4,None,Healthcare,1,0
5432,27,Male,Sweden,2.1,200.6,8.8,Excellent,18.3,69,Low,6.7,None,Service,1,0
5433,36,Male,Germany,1.8,171.6,6.3,Good,24.2,83,Low,6.1,None,Healthcare,0,1
5434,30,Female,Canada,1.0,99.0,6.8,Good,25.5,58,Low,2.5,None,Healthcare,0,0
5435,43,Male,France,1.1,104.8,6.6,Good,26.3,67,Low,4.0,None,Service,0,0
5436,27,Male,South Korea,2.3,214.6,7.2,Good,24.3,94,Low,6.1,None,Healthcare,1,0
5437,34,Male,Italy,3.5,333.7,6.9,Good,30.4,85,Low,1.5,Mild,Student,1,0
5438,49,Female,Norway,1.5,144.1,5.4,Fair,18.4,80,Medium,11.4,Mild,Office,0,1
5439,39,Male,Sweden,0.0,0.0,5.4,Fair,24.1,60,Medium,9.1,Mild,Student,1,0
5440,34,Male,Mexico,2.4,224.1,8.0,Good,29.0,51,Low,13.8,None,Office,0,0
5441,27,Male,Finland,2.9,277.9,6.0,Fair,26.5,68,Medium,0.5,Mild,Service,0,0
5442,27,Male,Spain,2.1,202.8,7.3,Good,21.8,75,Low,9.8,None,Healthcare,0,0
5443,24,Female,Finland,2.6,243.6,6.2,Good,26.9,83,Low,11.8,None,Service,0,0
5444,28,Male,France,3.9,368.9,4.2,Poor,22.1,60,High,7.7,Mild,Service,0,0
5445,44,Male,Finland,2.4,227.8,8.3,Excellent,24.3,73,Low,14.5,None,Service,1,0
5446,32,Female,Australia,3.7,353.9,7.4,Good,26.7,68,Low,0.6,None,Student,0,0
5447,18,Male,Switzerland,3.0,281.7,7.2,Good,18.2,72,Low,7.9,None,Service,0,0
5448,56,Male,Canada,1.1,103.5,5.7,Fair,28.1,75,Medium,4.7,Moderate,Healthcare,0,1
5449,38,Male,Brazil,4.2,396.5,7.2,Good,27.4,69,Low,14.6,None,Other,0,1
5450,18,Female,Mexico,0.5,45.4,7.3,Good,16.8,64,Low,14.4,None,Service,0,0
5451,29,Female,China,0.0,0.0,6.1,Good,15.0,68,Low,1.5,None,Office,0,1
5452,36,Female,France,2.6,251.7,6.3,Good,15.6,76,Low,5.9,None,Healthcare,0,0
5453,55,Female,USA,3.4,322.9,6.4,Good,24.2,77,Low,3.3,Mild,Healthcare,0,0
5454,21,Female,Brazil,3.3,313.1,5.8,Fair,31.4,61,Medium,12.4,Moderate,Other,1,0
5455,46,Female,Norway,0.7,65.4,7.3,Good,27.4,58,Low,13.7,None,Healthcare,0,0
5456,51,Female,Belgium,2.7,258.3,7.6,Good,28.6,81,Low,13.3,Mild,Healthcare,0,0
5457,27,Male,South Korea,0.0,0.8,6.4,Good,27.6,56,Low,5.4,None,Service,0,1
5458,31,Male,Belgium,3.0,287.3,6.4,Good,25.7,65,Low,4.5,None,Other,1,0
5459,22,Female,Belgium,2.6,250.2,6.5,Good,15.3,69,Low,10.1,None,Service,0,0
5460,32,Other,Sweden,3.3,314.9,7.5,Good,28.8,72,Low,14.0,None,Other,1,0
5461,34,Male,UK,3.7,349.9,6.7,Good,21.7,71,Low,0.9,None,Other,0,1
5462,42,Female,UK,3.3,313.4,7.7,Good,19.6,78,Low,0.9,None,Service,0,0
5463,48,Female,Brazil,0.5,47.8,6.1,Good,22.5,85,Low,6.1,None,Healthcare,0,1
5464,26,Male,Belgium,1.7,164.9,6.7,Good,27.4,70,Low,6.3,None,Student,1,0
5465,18,Male,Finland,0.8,75.2,7.6,Good,24.1,61,Low,7.4,None,Service,0,1
5466,34,Female,Finland,0.0,0.0,7.8,Good,24.6,72,Low,7.5,None,Other,0,0
5467,38,Male,Switzerland,3.6,343.5,6.0,Good,23.9,68,Low,7.0,None,Service,1,1
5468,37,Female,Finland,3.5,328.2,6.4,Good,29.4,67,Low,11.7,None,Healthcare,0,1
5469,31,Female,Sweden,1.1,105.6,5.8,Fair,17.1,77,Medium,11.5,Mild,Student,1,0
5470,36,Female,UK,1.3,125.7,4.5,Poor,24.0,58,High,11.3,Mild,Healthcare,0,0
5471,53,Male,India,2.5,232.8,6.3,Good,26.6,65,Low,4.9,Mild,Other,0,1
5472,39,Female,UK,1.7,159.1,6.4,Good,24.9,68,Low,0.3,None,Other,0,0
5473,30,Male,Switzerland,4.2,394.4,5.9,Fair,29.6,80,Medium,12.3,Mild,Other,0,1
5474,28,Male,USA,1.9,182.6,5.4,Fair,24.8,77,Medium,13.9,Mild,Other,0,0
5475,32,Female,South Korea,1.2,117.3,7.5,Good,22.6,80,Low,8.6,None,Student,0,0
5476,54,Male,Germany,3.1,299.0,7.4,Good,21.4,64,Low,1.8,Mild,Student,0,0
5477,32,Male,Netherlands,1.1,107.9,6.8,Good,17.6,87,Low,2.4,None,Other,0,0
5478,34,Male,China,3.6,338.2,5.5,Fair,21.4,68,Medium,12.9,Mild,Service,1,0
5479,29,Female,China,2.4,229.1,5.9,Fair,19.1,77,Medium,9.9,Mild,Office,0,0
5480,48,Male,Spain,3.9,367.3,6.4,Good,23.5,73,Low,3.7,None,Service,0,0
5481,58,Female,China,4.0,379.7,7.4,Good,16.4,64,Low,2.8,Mild,Service,0,0
5482,40,Female,Norway,0.5,51.7,5.3,Fair,24.3,67,Medium,4.4,Mild,Other,0,0
5483,35,Female,Switzerland,2.6,246.8,5.9,Fair,22.3,77,Medium,4.6,Mild,Student,1,0
5484,35,Female,USA,2.4,230.9,6.8,Good,28.8,76,Low,12.3,None,Student,0,1
5485,18,Male,Belgium,2.3,221.1,7.6,Good,26.3,74,Low,13.5,None,Service,0,0
5486,43,Male,Canada,4.2,402.7,4.8,Poor,28.7,83,High,3.8,Mild,Service,0,0
5487,36,Male,Canada,2.5,235.3,5.7,Fair,24.2,83,Medium,2.9,Mild,Service,0,0
5488,40,Male,Netherlands,0.4,40.0,4.1,Poor,27.7,68,High,8.3,Mild,Other,0,0
5489,26,Female,Germany,1.8,172.1,8.3,Excellent,24.2,63,Low,8.5,None,Healthcare,1,0
5490,30,Male,Finland,1.4,137.7,5.5,Fair,20.6,59,Medium,3.4,Mild,Office,0,0
5491,30,Male,Canada,1.9,178.7,7.3,Good,22.0,75,Low,12.3,None,Other,1,1
5492,47,Female,Mexico,2.5,235.4,8.3,Excellent,26.2,85,Low,13.8,None,Office,1,1
5493,30,Female,Belgium,1.5,138.0,8.5,Excellent,25.9,72,Low,1.2,None,Healthcare,0,1
5494,59,Female,China,3.4,324.7,4.3,Poor,25.0,70,High,11.4,Moderate,Healthcare,0,1
5495,40,Female,Australia,4.8,454.1,7.5,Good,24.3,82,Low,7.5,None,Other,0,0
5496,19,Female,USA,2.8,262.7,7.6,Good,24.9,62,Low,2.9,None,Student,1,1
5497,33,Female,Canada,3.7,349.8,7.6,Good,20.6,70,Low,6.4,None,Student,0,0
5498,27,Male,Mexico,1.0,95.7,4.2,Poor,24.6,59,High,7.6,Mild,Office,0,1
5499,18,Other,Spain,3.8,359.4,5.7,Fair,22.7,78,Medium,8.8,Mild,Student,0,1
5500,54,Female,Australia,4.6,432.8,4.3,Poor,23.3,60,High,0.5,Moderate,Service,1,0
5501,43,Male,Australia,4.3,412.0,5.8,Fair,16.3,82,Medium,10.4,Mild,Service,0,1
5502,41,Male,Norway,1.6,154.4,7.7,Good,25.6,66,Low,7.6,None,Healthcare,1,0
5503,36,Female,Canada,4.4,414.0,8.7,Excellent,18.6,91,Low,9.6,None,Other,0,0
5504,18,Female,Canada,5.1,488.3,7.3,Good,18.7,50,Low,12.7,None,Student,0,1
5505,29,Male,Italy,1.7,157.6,7.2,Good,25.6,73,Low,8.5,None,Healthcare,0,1
5506,45,Male,Mexico,3.6,337.4,5.9,Fair,17.4,75,Medium,13.4,Mild,Service,0,1
5507,22,Female,Mexico,1.6,155.5,6.1,Good,27.1,66,Low,11.9,None,Student,0,0
5508,18,Female,Japan,0.5,44.3,7.4,Good,20.9,91,Low,9.4,None,Student,1,0
5509,32,Male,Brazil,2.2,207.0,6.5,Good,26.3,86,Low,8.7,None,Other,0,1
5510,33,Male,Brazil,1.7,157.4,7.4,Good,18.6,77,Low,6.5,None,Student,0,0
5511,36,Female,Spain,2.3,218.1,6.5,Good,21.9,66,Low,13.2,None,Student,0,0
5512,43,Male,Sweden,0.0,0.0,8.8,Excellent,27.0,65,Low,6.2,None,Other,0,1
5513,42,Female,Mexico,3.1,292.3,7.7,Good,23.0,62,Low,0.3,None,Office,1,0
5514,38,Male,Switzerland,2.2,204.4,5.7,Fair,20.3,76,Medium,0.5,Mild,Student,0,1
5515,49,Male,Spain,3.6,344.5,7.4,Good,25.8,54,Low,13.9,None,Other,0,0
5516,18,Male,Finland,1.8,172.1,7.0,Good,15.0,71,Low,1.8,None,Healthcare,0,1
5517,41,Male,France,5.1,484.4,5.4,Fair,28.5,73,Medium,11.8,Mild,Healthcare,0,1
5518,42,Male,Norway,1.8,175.2,9.2,Excellent,19.5,60,Low,12.7,None,Service,0,0
5519,20,Male,Mexico,2.7,253.6,7.0,Good,30.0,76,Low,8.3,Mild,Other,0,0
5520,18,Female,Japan,1.0,97.6,7.3,Good,26.9,66,Low,12.6,None,Student,0,1
5521,26,Male,Mexico,2.6,251.3,7.6,Good,22.8,71,Low,1.6,None,Healthcare,0,1
5522,27,Female,South Korea,2.9,275.8,7.2,Good,25.7,70,Low,15.0,None,Student,0,0
5523,44,Male,South Korea,1.7,156.8,7.9,Good,16.7,65,Low,9.0,None,Other,0,0
5524,27,Female,Spain,3.6,345.7,5.0,Poor,20.8,68,High,12.8,Mild,Healthcare,0,0
5525,24,Male,Switzerland,1.7,157.4,8.4,Excellent,22.0,76,Low,4.1,None,Service,0,0
5526,27,Male,Spain,4.2,399.1,6.8,Good,25.4,83,Low,4.7,None,Healthcare,0,0
5527,48,Female,Mexico,0.4,42.3,7.2,Good,23.8,78,Low,2.3,None,Service,1,0
5528,35,Female,Australia,2.4,228.2,5.7,Fair,22.8,81,Medium,10.7,Mild,Other,0,0
5529,32,Female,Mexico,6.4,612.0,5.0,Poor,22.1,58,High,0.4,Mild,Office,0,1
5530,33,Female,China,0.0,0.0,5.9,Fair,23.2,61,Medium,1.6,Mild,Other,1,1
5531,50,Female,India,3.9,373.4,5.8,Fair,23.9,61,Medium,2.6,Mild,Service,0,0
5532,26,Male,Switzerland,3.0,282.6,6.6,Good,26.9,60,Low,10.4,None,Student,1,1
5533,50,Female,Finland,2.0,193.8,5.1,Fair,25.5,66,Medium,9.8,Mild,Healthcare,0,0
5534,37,Female,Netherlands,4.1,394.2,8.5,Excellent,25.8,59,Low,9.3,None,Healthcare,0,0
5535,33,Other,Finland,3.1,298.4,7.1,Good,30.1,68,Low,6.2,Mild,Service,1,0
5536,65,Female,Italy,2.1,195.4,5.4,Fair,25.9,64,Medium,14.0,Moderate,Healthcare,1,0
5537,22,Male,UK,1.4,132.6,8.0,Good,24.5,83,Low,14.4,None,Service,0,0
5538,30,Male,Canada,1.9,177.2,6.1,Good,26.9,69,Low,5.5,None,Student,1,1
5539,20,Female,China,2.1,202.4,5.8,Fair,23.3,88,Medium,7.9,Mild,Office,0,0
5540,46,Female,Netherlands,2.2,212.5,8.2,Excellent,24.0,86,Low,10.4,None,Other,0,0
5541,55,Female,Canada,1.3,124.2,6.0,Good,29.3,68,Low,4.0,Mild,Student,1,0
5542,55,Female,Australia,2.7,258.8,6.7,Good,24.7,70,Low,11.4,Mild,Student,0,0
5543,49,Male,France,1.5,144.7,7.9,Good,26.8,78,Low,11.5,None,Healthcare,0,0
5544,32,Male,UK,2.7,256.9,8.0,Excellent,29.0,56,Low,7.5,None,Healthcare,1,1
5545,30,Male,Netherlands,5.4,509.9,6.5,Good,31.2,80,Low,6.2,Mild,Office,0,0
5546,18,Female,Brazil,3.8,359.2,4.4,Poor,16.9,87,High,9.6,Mild,Service,0,0
5547,59,Female,Norway,2.4,232.0,5.4,Fair,17.3,63,Medium,0.2,Moderate,Service,1,0
5548,40,Male,Australia,0.7,69.2,8.6,Excellent,19.5,71,Low,12.8,None,Student,0,0
5549,29,Female,Spain,2.7,257.7,7.6,Good,17.1,65,Low,13.0,None,Student,0,0
5550,50,Male,Australia,5.2,492.0,7.0,Good,37.8,82,Low,7.6,Mild,Healthcare,1,0
5551,23,Male,China,1.0,93.9,6.0,Fair,28.6,87,Medium,0.2,Mild,Service,0,0
5552,39,Female,USA,0.0,0.0,5.8,Fair,21.8,56,Medium,5.6,Mild,Office,0,0
5553,32,Male,France,3.0,282.5,4.9,Poor,24.5,72,High,6.8,Mild,Student,0,0
5554,42,Female,Australia,4.8,456.6,5.6,Fair,20.8,76,Medium,12.6,Mild,Healthcare,0,0
5555,34,Female,Mexico,4.3,410.6,6.8,Good,19.1,79,Low,0.5,None,Other,0,0
5556,18,Female,Spain,5.0,473.4,8.0,Good,15.1,65,Low,7.6,None,Other,0,0
5557,35,Male,China,0.6,54.0,6.8,Good,16.8,65,Low,6.9,None,Other,1,1
5558,47,Male,India,1.9,180.7,6.7,Good,27.1,86,Low,3.3,None,Other,0,0
5559,34,Female,Spain,3.1,290.1,7.7,Good,21.7,55,Low,3.7,None,Student,1,0
5560,44,Female,Brazil,0.0,0.0,6.4,Good,20.3,71,Low,8.7,None,Service,0,0
5561,22,Female,Netherlands,2.5,233.6,6.5,Good,31.4,65,Low,14.5,Mild,Service,0,1
5562,34,Male,Germany,1.7,161.7,6.8,Good,25.6,67,Low,11.9,None,Service,0,0
5563,27,Male,Norway,2.1,202.4,6.1,Good,28.9,88,Low,7.5,None,Office,1,0
5564,43,Female,Canada,2.9,275.6,7.2,Good,21.3,71,Low,8.6,None,Office,1,1
5565,35,Female,Canada,2.0,189.5,6.9,Good,28.4,85,Low,8.6,None,Service,0,0
5566,43,Male,France,0.9,82.2,7.1,Good,26.3,84,Low,10.5,None,Student,0,1
5567,48,Male,UK,3.6,338.0,5.3,Fair,18.4,82,Medium,5.1,Mild,Other,0,0
5568,43,Female,Germany,0.8,80.7,7.9,Good,24.0,56,Low,10.1,None,Other,0,0
5569,38,Male,India,2.3,221.4,8.7,Excellent,16.2,71,Low,3.8,None,Service,0,0
5570,23,Male,Canada,1.3,119.0,7.7,Good,23.0,82,Low,12.0,None,Healthcare,1,0
5571,34,Male,Finland,3.5,334.9,5.6,Fair,20.9,84,Medium,14.1,Mild,Student,1,0
5572,28,Male,Germany,0.1,13.2,5.1,Fair,25.7,71,Medium,8.4,Mild,Healthcare,0,1
5573,30,Female,China,2.4,223.4,6.5,Good,22.5,73,Low,1.1,None,Healthcare,0,1
5574,30,Male,Canada,3.0,281.3,7.3,Good,29.0,61,Low,10.7,None,Student,1,0
5575,23,Male,Finland,2.9,277.1,5.7,Fair,23.0,50,Medium,13.9,Mild,Student,1,0
5576,18,Male,UK,4.1,390.6,6.0,Fair,24.7,64,Medium,14.2,Mild,Office,0,0
5577,26,Male,Sweden,3.7,355.4,7.8,Good,25.6,89,Low,13.7,None,Office,0,0
5578,37,Female,Sweden,3.2,302.0,4.6,Poor,22.6,59,High,8.5,Mild,Other,0,0
5579,18,Male,Germany,0.0,0.0,7.4,Good,29.0,72,Low,13.8,None,Office,1,0
5580,35,Female,Mexico,3.4,319.5,5.2,Fair,27.5,79,Medium,4.0,Mild,Healthcare,0,0
5581,57,Male,Switzerland,4.3,409.8,7.4,Good,25.5,65,Low,2.2,Mild,Student,0,1
5582,47,Male,Norway,1.3,126.8,7.7,Good,22.0,66,Low,7.1,None,Other,0,1
5583,54,Male,Australia,4.2,403.0,6.3,Good,19.4,68,Low,0.5,Mild,Office,0,1
5584,39,Male,Norway,3.9,366.4,6.8,Good,24.1,71,Low,1.2,None,Other,0,0
5585,49,Female,Netherlands,1.4,137.2,5.7,Fair,23.5,76,Medium,9.0,Mild,Service,1,0
5586,26,Male,Mexico,1.7,162.4,7.8,Good,20.6,76,Low,10.6,None,Office,1,0
5587,27,Female,Italy,1.1,100.4,7.3,Good,22.8,60,Low,2.1,None,Other,0,0
5588,18,Male,Canada,4.1,388.4,6.3,Good,19.2,85,Low,5.1,None,Student,0,0
5589,49,Male,Australia,1.5,140.0,5.8,Fair,30.5,69,Medium,12.1,Moderate,Healthcare,0,1
5590,53,Male,Australia,1.5,142.6,6.9,Good,27.9,50,Low,3.0,Mild,Student,0,0
5591,28,Female,Canada,2.1,204.1,6.2,Good,18.9,59,Low,13.4,None,Service,0,0
5592,31,Male,Mexico,0.8,77.0,7.8,Good,25.0,66,Low,8.4,None,Office,0,1
5593,25,Male,Finland,3.2,307.2,8.5,Excellent,16.0,64,Low,8.9,None,Service,0,0
5594,39,Male,Australia,2.1,195.2,7.5,Good,22.7,59,Low,2.3,None,Healthcare,0,1
5595,48,Male,Netherlands,4.1,393.9,6.0,Fair,23.2,70,Medium,0.9,Mild,Office,0,1
5596,18,Female,China,3.8,358.8,8.2,Excellent,20.9,85,Low,5.4,None,Office,1,0
5597,39,Female,Canada,4.9,469.9,5.8,Fair,20.6,78,Medium,1.4,Mild,Healthcare,0,1
5598,31,Female,Norway,0.1,14.0,7.3,Good,24.9,60,Low,1.5,None,Service,1,0
5599,36,Female,Spain,0.6,55.5,6.4,Good,22.1,88,Low,14.2,None,Student,1,0
5600,40,Female,South Korea,2.5,237.9,6.7,Good,26.4,79,Low,1.0,None,Healthcare,0,0
5601,32,Male,China,2.7,254.2,4.5,Poor,29.3,60,High,6.6,Mild,Other,1,0
5602,33,Female,Netherlands,2.1,196.3,5.2,Fair,25.4,61,Medium,11.3,Mild,Student,0,0
5603,32,Male,Belgium,5.0,471.3,6.2,Good,29.4,71,Low,4.3,None,Office,1,0
5604,46,Male,Norway,1.9,180.4,7.1,Good,21.0,75,Low,7.5,None,Healthcare,0,0
5605,40,Female,Germany,3.2,304.1,6.4,Good,24.0,82,Low,5.4,None,Healthcare,0,1
5606,37,Female,Sweden,3.0,285.5,7.6,Good,28.4,56,Low,10.7,None,Other,0,0
5607,19,Female,Finland,1.6,151.2,4.2,Poor,23.1,70,High,9.1,Mild,Service,0,1
5608,30,Female,Brazil,3.2,303.8,7.1,Good,25.1,73,Low,4.6,None,Other,0,1
5609,45,Male,UK,2.5,237.0,8.2,Excellent,19.9,73,Low,9.5,None,Other,1,0
5610,35,Male,South Korea,4.4,414.0,7.3,Good,30.7,67,Low,0.0,Mild,Service,0,0
5611,42,Male,Finland,4.2,403.3,7.2,Good,21.0,75,Low,10.1,None,Office,0,0
5612,56,Female,Belgium,0.0,0.0,8.2,Excellent,24.8,76,Low,11.7,Mild,Healthcare,0,1
5613,47,Female,South Korea,0.2,18.3,5.5,Fair,21.2,53,Medium,0.1,Mild,Student,1,1
5614,36,Male,France,2.3,216.8,5.2,Fair,19.1,70,Medium,9.9,Mild,Office,0,0
5615,28,Male,Mexico,3.8,360.5,6.1,Good,25.7,50,Low,8.2,None,Office,0,0
5616,18,Male,France,2.7,255.0,6.5,Good,31.0,56,Low,4.2,Mild,Office,0,1
5617,32,Female,USA,3.1,296.6,6.8,Good,20.9,57,Low,3.0,None,Student,1,0
5618,31,Female,Netherlands,6.7,635.0,4.6,Poor,19.8,63,High,14.4,Mild,Healthcare,1,0
5619,39,Male,USA,1.6,148.7,6.5,Good,21.6,75,Low,7.2,None,Office,1,0
5620,33,Female,Germany,3.2,300.5,7.7,Good,22.6,66,Low,6.9,None,Other,0,0
5621,31,Female,Brazil,2.7,260.9,6.2,Good,25.6,80,Low,12.7,None,Student,0,1
5622,18,Male,Germany,3.8,359.9,4.5,Poor,16.3,73,High,5.7,Mild,Service,0,0
5623,23,Female,Japan,3.9,372.9,4.5,Poor,28.5,74,High,12.1,Mild,Healthcare,0,0
5624,40,Male,Mexico,3.3,316.6,7.7,Good,29.5,81,Low,8.5,None,Other,0,0
5625,55,Male,Belgium,4.6,437.2,8.1,Excellent,25.5,60,Low,3.2,Mild,Student,1,0
5626,33,Male,Italy,4.5,428.4,5.4,Fair,19.6,74,Medium,5.3,Mild,Student,0,0
5627,38,Female,India,3.1,296.5,7.6,Good,28.3,72,Low,0.3,None,Service,0,0
5628,46,Female,China,2.3,222.5,7.4,Good,22.1,69,Low,6.6,None,Student,0,0
5629,25,Male,UK,2.9,278.8,4.8,Poor,24.7,84,High,14.0,Mild,Healthcare,0,0
5630,39,Female,UK,0.0,0.9,7.6,Good,23.8,74,Low,9.5,None,Other,1,1
5631,26,Male,France,1.7,162.6,7.6,Good,19.2,64,Low,8.7,None,Student,0,0
5632,45,Female,Canada,1.1,99.9,6.5,Good,31.8,62,Low,13.0,Mild,Service,0,0
5633,36,Female,France,3.8,364.3,5.9,Fair,18.7,70,Medium,1.8,Mild,Healthcare,0,1
5634,38,Male,Switzerland,4.5,429.9,6.6,Good,24.1,82,Low,11.9,None,Student,0,0
5635,25,Male,USA,3.5,331.7,5.5,Fair,24.6,77,Medium,10.5,Mild,Office,1,1
5636,43,Female,Australia,2.3,219.1,8.1,Excellent,24.2,74,Low,7.9,None,Office,1,0
5637,60,Male,France,1.4,132.1,6.8,Good,25.0,63,Low,5.8,Mild,Service,0,0
5638,22,Female,USA,3.8,362.4,5.9,Fair,24.0,67,Medium,0.5,Mild,Office,0,1
5639,30,Female,Sweden,4.1,386.5,6.2,Good,25.6,50,Low,9.3,None,Office,0,0
5640,37,Female,Australia,2.4,223.9,7.8,Good,20.0,79,Low,8.5,None,Healthcare,0,0
5641,44,Male,Japan,2.6,246.0,6.4,Good,19.3,76,Low,4.3,None,Healthcare,0,0
5642,28,Male,France,2.0,187.5,6.2,Good,28.5,97,Low,4.1,None,Other,0,1
5643,18,Male,Canada,3.1,296.8,4.6,Poor,25.9,74,High,5.4,Mild,Other,0,1
5644,51,Female,Canada,1.9,182.1,6.9,Good,23.4,82,Low,6.5,Mild,Other,0,1
5645,44,Male,Finland,2.4,226.3,6.3,Good,29.3,75,Low,11.1,None,Healthcare,0,1
5646,18,Male,Norway,0.7,70.7,5.5,Fair,26.1,70,Medium,7.7,Mild,Healthcare,0,0
5647,27,Female,France,2.9,274.9,7.1,Good,26.9,75,Low,2.3,None,Healthcare,0,1
5648,53,Female,Norway,5.1,487.1,4.9,Poor,29.9,77,High,13.4,Moderate,Office,0,0
5649,52,Male,Canada,3.0,287.0,5.8,Fair,24.5,71,Medium,7.2,Moderate,Other,0,1
5650,46,Other,Switzerland,4.1,386.0,7.0,Good,22.5,77,Low,13.5,None,Office,0,0
5651,32,Female,Mexico,3.6,346.3,7.0,Good,22.3,86,Low,9.2,None,Other,0,0
5652,35,Male,USA,2.3,220.1,6.7,Good,15.6,72,Low,8.5,None,Service,1,0
5653,33,Male,China,2.5,235.5,6.3,Good,19.8,82,Low,5.0,None,Office,0,1
5654,48,Female,Norway,1.7,159.5,6.2,Good,27.0,82,Low,14.6,None,Other,0,0
5655,24,Female,India,4.0,377.0,5.4,Fair,20.7,75,Medium,14.7,Mild,Student,0,0
5656,25,Male,Switzerland,3.2,304.2,6.2,Good,22.3,80,Low,5.4,None,Service,0,0
5657,47,Male,Sweden,4.0,380.4,7.7,Good,26.9,52,Low,11.8,None,Office,0,1
5658,34,Male,China,2.7,252.8,5.3,Fair,24.5,67,Medium,4.0,Mild,Office,0,1
5659,51,Female,Germany,0.0,0.0,3.9,Poor,24.8,69,High,9.2,Moderate,Student,0,1
5660,26,Male,Switzerland,1.4,134.7,5.9,Fair,29.4,72,Medium,10.1,Mild,Healthcare,0,0
5661,34,Male,Australia,4.0,380.2,8.2,Excellent,27.0,79,Low,14.8,None,Student,0,0
5662,23,Female,Mexico,2.2,209.5,6.2,Good,15.7,64,Low,4.3,None,Healthcare,1,0
5663,35,Female,France,4.1,389.0,6.4,Good,30.4,58,Low,10.6,Mild,Office,0,0
5664,18,Female,Brazil,4.6,438.5,6.4,Good,22.7,72,Low,3.7,None,Healthcare,0,0
5665,29,Male,Mexico,3.9,370.0,5.6,Fair,26.5,60,Medium,0.5,Mild,Student,0,1
5666,18,Male,Spain,3.8,364.6,8.0,Excellent,24.8,66,Low,4.3,None,Other,1,1
5667,43,Male,Australia,0.0,0.0,6.7,Good,20.7,57,Low,11.8,None,Service,0,1
5668,43,Female,Brazil,2.1,204.2,8.0,Good,25.7,85,Low,14.1,None,Office,0,0
5669,18,Female,Italy,2.5,236.6,6.7,Good,21.6,72,Low,0.4,None,Service,0,1
5670,51,Male,Japan,3.8,365.0,6.5,Good,22.5,66,Low,1.7,Mild,Student,1,0
5671,64,Male,Germany,2.7,253.7,5.4,Fair,26.9,62,Medium,5.5,Moderate,Service,0,0
5672,35,Female,Mexico,0.3,24.4,8.2,Excellent,21.0,65,Low,6.8,None,Other,0,0
5673,27,Female,Finland,0.3,27.7,6.7,Good,16.1,85,Low,13.9,None,Other,0,0
5674,68,Male,UK,1.8,168.4,6.9,Good,20.6,56,Low,0.3,Mild,Other,0,0
5675,19,Female,Norway,6.5,620.6,8.1,Excellent,29.1,70,Low,12.7,None,Student,1,0
5676,35,Female,China,2.9,277.5,6.9,Good,27.8,73,Low,7.7,None,Other,0,1
5677,37,Female,Germany,3.3,310.5,6.7,Good,26.0,61,Low,3.2,None,Office,0,0
5678,51,Female,Sweden,0.3,27.4,8.1,Excellent,25.5,60,Low,2.9,Mild,Other,1,0
5679,39,Female,USA,4.2,394.8,7.2,Good,32.0,61,Low,0.7,Mild,Student,0,0
5680,29,Female,Norway,2.0,192.3,6.1,Good,29.1,71,Low,3.7,None,Other,1,1
5681,23,Female,China,4.8,451.9,5.6,Fair,20.9,77,Medium,14.6,Mild,Service,0,1
5682,30,Male,Norway,0.6,60.4,7.4,Good,25.8,80,Low,12.0,None,Other,0,0
5683,22,Male,Netherlands,2.4,224.1,6.0,Fair,26.5,67,Medium,14.4,Mild,Student,0,1
5684,35,Female,USA,1.7,164.6,6.8,Good,21.2,75,Low,2.3,None,Service,1,1
5685,28,Female,China,3.5,328.0,5.0,Poor,25.6,82,High,8.2,Mild,Healthcare,1,1
5686,18,Female,UK,4.0,377.1,8.4,Excellent,20.8,75,Low,14.0,None,Office,0,0
5687,50,Male,Mexico,1.6,147.8,6.0,Good,23.7,71,Low,9.9,None,Other,0,0
5688,29,Female,Mexico,3.7,352.2,7.2,Good,23.2,65,Low,0.3,None,Student,0,0
5689,19,Male,Sweden,4.6,439.7,7.1,Good,29.0,64,Low,1.0,None,Office,0,1
5690,32,Female,USA,4.0,377.3,8.5,Excellent,28.0,86,Low,6.3,None,Service,1,1
5691,35,Male,Canada,1.6,155.7,7.1,Good,20.3,68,Low,5.8,None,Student,0,0
5692,18,Male,Norway,1.9,177.1,6.2,Good,32.2,70,Low,13.3,Mild,Other,0,0
5693,38,Male,Switzerland,2.2,207.2,6.6,Good,26.6,96,Low,11.7,None,Other,0,1
5694,22,Female,China,3.9,372.4,5.4,Fair,18.3,69,Medium,2.0,Mild,Healthcare,0,0
5695,55,Male,Switzerland,3.1,298.6,8.1,Excellent,20.2,67,Low,1.3,Mild,Office,1,0
5696,41,Male,Finland,0.6,58.2,6.5,Good,18.8,72,Low,13.0,None,Other,0,0
5697,30,Male,Finland,2.5,235.2,8.7,Excellent,22.1,55,Low,6.7,None,Service,1,1
5698,26,Male,Mexico,5.0,470.6,5.5,Fair,31.0,67,Medium,2.5,Moderate,Service,1,0
5699,33,Female,France,4.0,378.0,9.5,Excellent,23.8,65,Low,13.5,None,Service,0,0
5700,42,Male,Netherlands,1.6,151.9,5.9,Fair,25.1,63,Medium,10.8,Mild,Service,0,0
5701,34,Male,South Korea,0.2,18.6,6.1,Good,31.9,83,Low,2.5,Mild,Office,0,0
5702,32,Female,South Korea,1.8,166.4,6.0,Fair,20.4,62,Medium,9.1,Mild,Healthcare,0,0
5703,35,Female,Italy,2.5,237.0,5.8,Fair,25.4,64,Medium,7.0,Mild,Healthcare,1,0
5704,27,Female,USA,1.9,178.9,7.2,Good,28.4,69,Low,3.8,None,Student,0,1
5705,30,Female,Finland,1.0,97.6,5.9,Fair,20.5,62,Medium,8.9,Mild,Office,1,0
5706,18,Female,India,3.4,321.0,5.1,Fair,27.3,68,Medium,6.6,Mild,Student,0,0
5707,46,Male,Sweden,0.0,0.0,5.9,Fair,25.0,66,Medium,8.4,Mild,Other,1,0
5708,38,Other,India,4.2,397.3,8.8,Excellent,18.6,69,Low,4.4,None,Student,0,0
5709,25,Female,Australia,3.6,345.1,5.1,Fair,27.6,58,Medium,10.9,Mild,Service,0,1
5710,57,Female,India,3.1,298.3,6.8,Good,25.3,78,Low,6.4,Mild,Healthcare,0,1
5711,36,Female,Brazil,3.4,322.4,5.4,Fair,24.4,75,Medium,12.2,Mild,Healthcare,0,0
5712,22,Female,Australia,2.1,197.0,7.2,Good,25.5,67,Low,9.1,None,Healthcare,1,0
5713,45,Male,Netherlands,2.5,233.6,6.8,Good,30.5,73,Low,3.7,Mild,Office,0,0
5714,39,Male,Japan,4.7,447.0,8.3,Excellent,24.1,67,Low,5.1,None,Service,0,1
5715,39,Female,Netherlands,2.3,215.8,6.1,Good,20.8,70,Low,4.3,None,Student,1,0
5716,29,Female,India,3.1,292.2,7.1,Good,18.8,52,Low,5.4,None,Other,1,0
5717,40,Male,Australia,3.3,312.6,7.8,Good,20.9,76,Low,2.6,None,Office,1,0
5718,31,Female,Brazil,2.7,252.5,6.2,Good,20.4,60,Low,7.1,None,Other,0,1
5719,41,Female,South Korea,2.2,207.0,6.9,Good,21.4,69,Low,0.7,None,Office,0,1
5720,18,Male,China,0.0,0.0,5.2,Fair,23.3,73,Medium,5.2,Mild,Service,0,0
5721,29,Female,Mexico,3.7,353.7,7.0,Good,27.0,89,Low,6.4,None,Office,0,1
5722,55,Female,Brazil,4.1,391.1,6.6,Good,20.2,80,Low,11.5,Mild,Other,0,0
5723,25,Male,Spain,2.6,247.9,5.7,Fair,20.4,50,Medium,12.9,Mild,Office,0,1
5724,27,Female,China,4.4,414.7,4.9,Poor,23.3,65,High,11.6,Mild,Service,0,0
5725,29,Male,Japan,3.1,291.6,6.2,Good,24.0,68,Low,1.2,None,Healthcare,0,0
5726,20,Male,Finland,0.0,0.0,5.6,Fair,27.2,66,Medium,9.9,Mild,Office,0,0
5727,18,Male,Australia,0.9,87.2,7.0,Good,24.9,53,Low,12.8,None,Other,0,0
5728,32,Female,Canada,1.8,167.8,7.5,Good,25.8,79,Low,7.9,None,Other,0,0
5729,36,Male,Spain,1.6,150.6,4.7,Poor,24.6,74,High,14.0,Mild,Office,0,0
5730,34,Male,USA,2.6,248.1,5.6,Fair,18.4,64,Medium,13.3,Mild,Service,1,0
5731,33,Female,Norway,1.1,106.7,8.8,Excellent,17.7,64,Low,13.2,None,Student,0,1
5732,35,Male,Belgium,5.1,480.2,7.0,Good,15.3,72,Low,14.5,None,Healthcare,0,0
5733,47,Female,Finland,0.0,0.0,5.3,Fair,19.1,78,Medium,11.5,Mild,Service,0,0
5734,32,Female,Mexico,2.4,226.0,6.1,Good,22.7,75,Low,10.3,None,Student,0,0
5735,28,Other,Brazil,1.4,130.7,4.6,Poor,25.1,64,High,11.3,Mild,Other,0,0
5736,31,Female,South Korea,0.5,51.8,8.3,Excellent,15.0,67,Low,5.4,None,Office,1,0
5737,41,Male,Finland,3.4,321.5,6.5,Good,20.6,77,Low,0.1,None,Other,1,0
5738,51,Male,Brazil,1.0,93.4,7.0,Good,21.8,73,Low,0.7,Mild,Office,1,0
5739,27,Female,Japan,2.6,243.3,8.0,Excellent,21.8,59,Low,12.8,None,Healthcare,0,0
5740,36,Female,Australia,1.1,102.0,6.6,Good,21.8,61,Low,6.2,None,Office,0,0
5741,39,Male,Canada,0.0,0.0,7.3,Good,18.3,79,Low,5.4,None,Other,0,1
5742,23,Female,France,2.2,205.8,8.0,Good,23.0,80,Low,9.2,None,Student,0,0
5743,35,Male,South Korea,3.0,281.1,5.6,Fair,20.2,76,Medium,2.1,Mild,Student,1,0
5744,18,Female,Germany,1.6,152.3,5.3,Fair,29.0,77,Medium,8.2,Mild,Student,1,1
5745,18,Female,Japan,4.5,425.1,8.5,Excellent,28.4,57,Low,12.5,None,Office,0,1
5746,39,Other,South Korea,2.9,279.7,5.7,Fair,20.5,52,Medium,6.4,Mild,Service,0,0
5747,30,Female,Germany,3.6,340.7,3.6,Poor,21.0,65,High,7.8,Mild,Other,0,0
5748,37,Female,USA,1.5,143.9,5.9,Fair,31.0,78,Medium,2.5,Moderate,Other,0,1
5749,34,Male,Switzerland,1.6,147.5,6.0,Fair,18.3,68,Medium,11.1,Mild,Service,0,0
5750,23,Female,Australia,2.0,189.2,9.1,Excellent,24.2,67,Low,8.4,None,Student,0,1
5751,34,Female,Mexico,2.0,187.2,7.4,Good,29.9,98,Low,8.3,None,Student,0,0
5752,20,Female,China,1.8,171.6,6.5,Good,20.3,73,Low,3.4,None,Other,1,0
5753,51,Female,Japan,0.8,79.4,6.0,Good,17.6,68,Low,13.8,Mild,Office,0,1
5754,18,Male,Spain,3.7,350.2,7.3,Good,21.8,67,Low,5.2,None,Office,0,1
5755,32,Female,Sweden,0.3,28.4,8.2,Excellent,22.9,76,Low,14.4,None,Healthcare,0,0
5756,22,Female,France,3.4,326.7,7.1,Good,24.6,75,Low,5.1,None,Student,0,0
5757,41,Male,Australia,3.7,355.7,7.5,Good,24.4,72,Low,13.5,None,Other,0,0
5758,31,Male,Australia,2.1,196.6,8.5,Excellent,25.5,60,Low,8.4,None,Office,1,0
5759,28,Female,Mexico,6.3,598.8,6.2,Good,15.0,77,Low,1.0,None,Healthcare,0,0
5760,45,Male,Canada,2.5,238.8,6.0,Good,24.2,63,Low,14.3,None,Service,0,0
5761,35,Male,China,2.1,195.8,6.2,Good,21.0,62,Low,5.0,None,Office,0,0
5762,41,Male,Norway,2.1,202.3,8.2,Excellent,29.2,69,Low,12.2,None,Office,0,0
5763,23,Female,South Korea,4.1,392.2,7.3,Good,26.9,76,Low,8.5,None,Other,0,0
5764,18,Female,China,2.1,199.7,6.9,Good,27.8,75,Low,3.7,None,Student,0,0
5765,36,Male,Netherlands,3.5,328.0,5.8,Fair,27.9,99,Medium,2.1,Mild,Other,1,0
5766,31,Female,China,0.5,44.8,6.0,Fair,24.5,74,Medium,3.5,Mild,Service,0,1
5767,42,Female,Italy,2.7,258.4,6.6,Good,22.1,67,Low,8.2,None,Student,0,1
5768,34,Male,Finland,4.0,378.1,5.2,Fair,23.3,65,Medium,7.6,Mild,Other,1,0
5769,37,Male,USA,2.4,231.7,6.4,Good,27.7,68,Low,4.0,None,Office,1,1
5770,18,Female,Sweden,1.4,129.7,8.2,Excellent,22.8,67,Low,2.4,None,Other,0,1
5771,57,Male,Finland,2.1,196.9,6.5,Good,24.3,87,Low,5.3,Mild,Student,0,1
5772,33,Female,India,0.4,34.5,6.7,Good,23.6,60,Low,2.4,None,Healthcare,0,0
5773,43,Male,Germany,3.9,367.5,6.6,Good,22.9,67,Low,7.6,None,Healthcare,0,0
5774,24,Male,India,4.3,411.4,7.5,Good,29.0,89,Low,6.5,None,Service,0,1
5775,38,Female,Finland,2.3,219.4,8.8,Excellent,21.9,80,Low,6.7,None,Other,0,0
5776,19,Male,Norway,4.8,453.1,4.9,Poor,19.5,66,High,3.9,Mild,Office,0,0
5777,40,Female,Brazil,3.6,343.1,7.9,Good,26.7,90,Low,1.4,None,Service,0,0
5778,30,Male,Netherlands,2.5,240.1,7.6,Good,23.4,52,Low,8.8,None,Service,0,1
5779,35,Male,South Korea,4.5,429.2,4.8,Poor,21.7,70,High,14.6,Mild,Service,0,0
5780,43,Male,China,3.6,339.1,5.3,Fair,22.0,70,Medium,10.0,Mild,Student,0,0
5781,20,Male,China,4.3,406.9,7.5,Good,22.6,77,Low,13.3,None,Healthcare,0,1
5782,26,Male,USA,4.6,435.9,7.0,Good,21.0,64,Low,1.4,None,Student,0,0
5783,40,Male,China,2.1,203.4,4.6,Poor,30.2,64,High,0.9,Moderate,Healthcare,0,1
5784,60,Female,Canada,3.5,335.7,5.5,Fair,28.4,67,Medium,11.5,Moderate,Other,0,1
5785,33,Female,Mexico,0.0,0.0,7.6,Good,18.8,66,Low,6.8,None,Student,0,0
5786,42,Male,Finland,0.8,71.9,8.0,Excellent,21.5,92,Low,12.4,None,Office,0,0
5787,33,Female,USA,3.3,309.4,7.0,Good,22.5,87,Low,7.2,None,Other,0,0
5788,58,Male,South Korea,3.0,289.3,4.0,Poor,15.0,59,High,1.1,Moderate,Student,1,0
5789,18,Male,Spain,1.1,102.1,6.0,Fair,21.3,69,Medium,6.8,Mild,Office,0,1
5790,36,Female,Switzerland,1.9,183.6,5.5,Fair,25.9,51,Medium,10.0,Mild,Other,0,0
5791,18,Male,Brazil,3.0,288.3,7.4,Good,23.1,65,Low,7.7,None,Other,0,0
5792,18,Female,Mexico,2.5,236.9,6.1,Good,29.1,68,Low,3.3,None,Office,0,0
5793,38,Male,UK,2.2,204.9,7.3,Good,25.6,62,Low,13.9,None,Office,0,1
5794,36,Female,Canada,0.4,36.5,7.1,Good,29.6,58,Low,10.0,None,Service,0,0
5795,31,Female,Norway,3.0,287.4,5.1,Fair,26.6,68,Medium,7.9,Mild,Student,1,0
5796,33,Male,Italy,2.2,210.5,7.7,Good,23.4,59,Low,7.1,None,Healthcare,0,0
5797,72,Male,Italy,5.8,547.1,7.5,Good,19.9,75,Low,9.2,Mild,Office,0,0
5798,31,Female,Belgium,4.6,437.7,7.4,Good,19.3,73,Low,7.0,None,Healthcare,0,0
5799,41,Female,Mexico,2.7,256.7,6.9,Good,25.2,52,Low,4.6,None,Service,0,0
5800,27,Male,Netherlands,0.0,0.0,6.9,Good,27.7,73,Low,5.8,None,Healthcare,0,0
5801,38,Male,Netherlands,6.1,583.0,5.3,Fair,24.6,62,Medium,2.9,Mild,Office,0,0
5802,32,Male,Canada,3.7,353.9,8.0,Good,25.8,72,Low,11.4,None,Student,0,0
5803,30,Female,Japan,1.7,159.0,8.7,Excellent,26.7,59,Low,12.1,None,Healthcare,1,0
5804,56,Female,India,3.8,363.7,5.6,Fair,22.4,83,Medium,11.0,Moderate,Other,0,0
5805,49,Male,India,3.7,350.8,5.1,Fair,25.9,73,Medium,6.9,Mild,Healthcare,0,0
5806,36,Male,Spain,1.5,144.1,5.5,Fair,26.1,75,Medium,3.2,Mild,Service,0,0
5807,18,Female,Germany,1.1,104.9,5.7,Fair,19.6,54,Medium,14.4,Mild,Service,0,0
5808,30,Female,Sweden,3.6,343.2,6.9,Good,24.7,70,Low,11.6,None,Office,0,1
5809,67,Female,UK,4.1,390.8,4.8,Poor,25.7,79,High,11.6,Moderate,Student,0,0
5810,32,Male,Norway,3.0,283.3,5.9,Fair,25.5,98,Medium,9.4,Mild,Healthcare,0,0
5811,48,Female,Germany,2.9,274.0,5.9,Fair,25.1,80,Medium,4.2,Mild,Office,0,0
5812,52,Female,USA,4.5,430.4,6.5,Good,27.1,85,Low,2.7,Mild,Student,0,0
5813,37,Male,Finland,2.3,216.1,6.4,Good,32.8,77,Low,1.7,Mild,Service,0,1
5814,24,Other,Australia,0.0,0.0,7.5,Good,24.8,58,Low,9.3,None,Healthcare,0,1
5815,18,Female,Netherlands,3.3,313.6,6.4,Good,30.3,70,Low,2.7,Mild,Office,1,0
5816,43,Female,France,4.2,401.8,6.6,Good,17.2,88,Low,5.6,None,Healthcare,1,0
5817,25,Female,Brazil,3.2,305.2,8.8,Excellent,24.6,71,Low,12.3,None,Healthcare,0,0
5818,37,Male,USA,0.6,55.3,7.1,Good,17.7,81,Low,4.3,None,Other,0,1
5819,20,Male,South Korea,1.5,146.1,7.1,Good,22.0,65,Low,4.0,None,Service,0,1
5820,31,Male,Germany,2.3,217.6,9.6,Excellent,30.8,67,Low,10.8,Mild,Student,0,1
5821,35,Female,Japan,0.5,49.0,6.7,Good,27.2,55,Low,7.8,None,Service,0,0
5822,38,Male,Spain,1.6,155.4,8.5,Excellent,24.4,87,Low,8.4,None,Office,0,1
5823,21,Female,Belgium,4.6,436.3,7.8,Good,28.6,61,Low,1.9,None,Service,1,0
5824,49,Male,Spain,1.0,95.8,5.7,Fair,25.0,69,Medium,4.3,Mild,Office,0,0
5825,27,Female,Switzerland,2.1,195.2,6.9,Good,22.4,66,Low,5.5,None,Service,0,0
5826,18,Female,Japan,3.6,339.6,7.2,Good,17.2,69,Low,14.5,None,Office,0,0
5827,33,Female,Spain,0.1,8.1,8.1,Excellent,25.7,57,Low,0.6,None,Office,0,0
5828,35,Female,Brazil,4.5,430.7,5.4,Fair,20.1,61,Medium,12.8,Mild,Healthcare,0,1
5829,36,Other,Sweden,1.6,149.5,5.8,Fair,24.0,64,Medium,1.9,Mild,Other,0,0
5830,51,Male,Netherlands,0.9,87.4,7.9,Good,23.5,79,Low,14.8,Mild,Other,0,1
5831,32,Male,Australia,4.6,435.3,5.1,Fair,22.5,76,Medium,2.9,Mild,Healthcare,0,0
5832,33,Male,Finland,3.8,361.7,6.0,Good,25.3,62,Low,4.3,None,Other,0,0
5833,21,Female,UK,1.0,91.5,5.1,Fair,31.2,95,Medium,12.4,Moderate,Student,0,1
5834,44,Male,South Korea,1.9,183.1,5.7,Fair,24.7,64,Medium,5.4,Mild,Healthcare,0,0
5835,37,Female,Italy,2.9,277.9,6.3,Good,23.7,57,Low,9.7,None,Other,0,0
5836,29,Male,Brazil,2.0,190.9,6.5,Good,23.1,61,Low,8.8,None,Healthcare,0,0
5837,18,Female,Netherlands,4.4,420.5,6.5,Good,24.1,75,Low,10.3,None,Healthcare,0,0
5838,52,Female,Brazil,3.8,360.5,6.3,Good,28.2,63,Low,12.4,Mild,Healthcare,0,0
5839,20,Female,Canada,0.0,0.0,8.1,Excellent,15.0,79,Low,4.5,None,Other,0,0
5840,27,Female,Switzerland,1.3,119.8,8.3,Excellent,23.0,51,Low,13.1,None,Other,0,1
5841,39,Male,Netherlands,1.7,160.5,5.9,Fair,15.0,77,Medium,14.6,Mild,Student,0,1
5842,20,Male,Australia,1.8,170.5,4.7,Poor,22.1,62,High,10.1,Mild,Healthcare,1,0
5843,18,Female,Spain,3.2,301.1,7.0,Good,24.2,82,Low,8.5,None,Other,0,0
5844,18,Male,Netherlands,4.2,399.2,7.6,Good,28.0,60,Low,14.8,None,Student,0,1
5845,43,Female,Germany,1.5,146.2,5.8,Fair,27.1,74,Medium,1.4,Mild,Service,0,0
5846,28,Female,UK,0.8,76.9,6.5,Good,29.4,80,Low,5.8,None,Student,0,1
5847,70,Female,China,2.0,191.3,7.9,Good,22.6,62,Low,3.5,Mild,Other,0,1
5848,23,Male,Japan,0.0,0.0,8.3,Excellent,20.3,64,Low,1.2,None,Service,0,0
5849,23,Female,Australia,3.5,336.8,7.0,Good,21.6,63,Low,13.0,None,Office,0,0
5850,28,Male,UK,2.3,219.7,6.7,Good,26.6,77,Low,5.1,None,Other,0,0
5851,37,Male,USA,1.9,178.4,6.1,Good,29.6,79,Low,2.1,None,Student,1,0
5852,29,Male,Germany,2.8,268.7,6.8,Good,25.7,50,Low,5.7,None,Service,1,0
5853,42,Male,USA,1.1,106.7,6.9,Good,22.0,71,Low,5.7,None,Healthcare,0,0
5854,23,Male,India,2.0,187.6,7.5,Good,18.5,69,Low,1.9,None,Student,0,0
5855,18,Male,Belgium,1.5,140.8,7.3,Good,23.1,70,Low,8.0,None,Other,0,1
5856,18,Female,South Korea,0.0,0.0,5.3,Fair,26.7,81,Medium,1.5,Mild,Student,0,1
5857,18,Male,Germany,2.5,236.5,6.5,Good,19.0,74,Low,3.0,None,Healthcare,0,0
5858,28,Female,India,6.3,596.3,7.6,Good,32.0,63,Low,10.8,Mild,Office,1,0
5859,31,Male,Italy,2.5,241.5,3.7,Poor,23.2,70,High,4.6,Mild,Student,0,1
5860,27,Male,Sweden,1.3,127.3,5.2,Fair,28.0,88,Medium,9.7,Mild,Other,1,0
5861,49,Female,France,2.6,245.6,5.4,Fair,19.7,75,Medium,3.2,Mild,Service,1,0
5862,49,Female,UK,0.9,81.5,7.7,Good,22.2,58,Low,7.9,None,Office,0,1
5863,30,Male,Germany,1.6,152.5,6.2,Good,29.3,61,Low,1.5,None,Office,0,1
5864,18,Male,Belgium,1.9,176.8,6.9,Good,19.3,73,Low,0.6,None,Healthcare,0,0
5865,28,Male,Spain,1.7,158.4,7.3,Good,26.2,62,Low,8.3,None,Office,0,0
5866,27,Male,China,2.1,195.6,7.3,Good,20.5,60,Low,11.7,None,Office,0,0
5867,27,Female,Australia,3.5,335.9,5.7,Fair,20.3,74,Medium,10.6,Mild,Office,0,1
5868,26,Female,Japan,1.9,179.5,6.3,Good,23.7,81,Low,11.6,None,Other,1,0
5869,27,Male,Germany,2.1,195.3,6.5,Good,21.4,63,Low,7.3,None,Office,0,0
5870,30,Female,Finland,0.0,0.0,9.0,Excellent,25.2,59,Low,10.4,None,Student,0,0
5871,27,Male,Brazil,0.5,49.0,6.7,Good,23.1,65,Low,1.2,None,Office,0,1
5872,37,Female,Belgium,2.6,249.1,7.3,Good,21.1,71,Low,12.5,None,Healthcare,0,0
5873,39,Female,Japan,4.2,400.2,7.2,Good,23.3,79,Low,5.1,None,Office,1,1
5874,24,Female,Spain,2.2,210.7,8.0,Good,30.1,78,Low,13.1,Mild,Student,0,0
5875,50,Female,Canada,2.4,227.0,7.7,Good,20.3,65,Low,8.7,None,Healthcare,0,0
5876,23,Female,Sweden,0.4,35.3,7.0,Good,19.7,72,Low,1.5,None,Other,0,0
5877,18,Male,Finland,1.3,120.6,7.4,Good,20.0,53,Low,6.3,None,Healthcare,0,0
5878,39,Female,Italy,2.9,271.5,9.6,Excellent,20.1,67,Low,12.1,None,Student,0,0
5879,25,Male,Belgium,4.3,408.9,5.5,Fair,20.3,62,Medium,3.6,Mild,Healthcare,1,1
5880,38,Male,Sweden,2.8,266.2,6.0,Fair,18.7,56,Medium,2.7,Mild,Service,0,0
5881,18,Female,Norway,2.3,218.8,5.3,Fair,27.5,82,Medium,0.3,Mild,Student,0,0
5882,51,Male,China,2.9,274.3,6.8,Good,24.7,58,Low,10.3,Mild,Healthcare,0,0
5883,43,Female,Sweden,1.0,93.5,6.3,Good,23.8,80,Low,5.6,None,Office,1,0
5884,18,Female,Sweden,1.1,104.8,5.6,Fair,33.6,91,Medium,2.6,Moderate,Healthcare,0,0
5885,18,Female,Japan,2.2,204.6,6.7,Good,26.4,60,Low,9.0,None,Office,0,0
5886,55,Female,Mexico,0.8,72.9,5.2,Fair,38.2,70,Medium,2.2,Severe,Service,0,1
5887,26,Male,UK,3.6,337.3,8.0,Good,29.2,74,Low,10.9,None,Other,0,0
5888,24,Other,USA,3.9,371.3,7.7,Good,19.1,84,Low,8.7,None,Student,0,0
5889,18,Male,China,2.1,198.7,8.8,Excellent,18.7,77,Low,3.7,None,Other,0,0
5890,30,Female,Spain,3.6,345.2,9.6,Excellent,21.9,72,Low,13.1,None,Healthcare,0,0
5891,32,Female,Sweden,4.7,449.5,4.3,Poor,22.6,72,High,8.4,Mild,Service,0,0
5892,43,Female,Canada,3.1,294.9,6.3,Good,29.1,63,Low,1.9,None,Healthcare,0,0
5893,18,Female,France,3.8,365.3,8.0,Good,22.4,81,Low,10.8,None,Service,0,0
5894,18,Female,Belgium,2.4,226.7,8.2,Excellent,23.6,77,Low,4.7,None,Other,0,0
5895,40,Male,Brazil,3.9,365.8,7.5,Good,19.3,81,Low,11.6,None,Service,0,1
5896,47,Male,Norway,2.3,219.7,5.4,Fair,26.6,68,Medium,6.0,Mild,Healthcare,0,1
5897,18,Male,Italy,1.5,138.2,7.1,Good,28.4,74,Low,1.1,None,Service,1,0
5898,47,Female,UK,3.5,336.3,7.7,Good,27.1,79,Low,9.5,None,Office,0,1
5899,35,Female,Italy,2.8,268.8,6.2,Good,24.5,59,Low,4.7,None,Office,0,1
5900,48,Female,India,3.7,348.6,5.5,Fair,28.1,84,Medium,14.1,Mild,Service,1,0
5901,34,Female,UK,1.4,131.9,6.5,Good,26.1,77,Low,12.4,None,Service,0,0
5902,18,Female,Italy,3.0,282.7,5.9,Fair,27.2,58,Medium,5.3,Mild,Service,0,0
5903,33,Male,Italy,3.9,371.8,6.7,Good,20.9,59,Low,0.4,None,Service,1,0
5904,47,Male,South Korea,1.8,173.9,5.0,Fair,22.8,73,Medium,8.1,Mild,Service,0,0
5905,24,Male,Spain,3.7,351.6,8.4,Excellent,26.5,94,Low,9.7,None,Office,0,0
5906,30,Female,Norway,4.9,461.6,5.6,Fair,22.1,71,Medium,10.2,Mild,Student,0,0
5907,32,Male,Brazil,1.6,153.6,5.5,Fair,32.2,79,Medium,5.2,Moderate,Other,0,0
5908,18,Female,USA,2.9,275.4,6.1,Good,25.7,69,Low,2.1,None,Office,1,1
5909,55,Female,Finland,5.1,487.5,6.6,Good,26.3,73,Low,8.4,Mild,Service,1,1
5910,24,Male,India,0.3,32.9,5.1,Fair,28.2,79,Medium,7.3,Mild,Student,0,0
5911,41,Male,USA,3.1,295.2,5.8,Fair,25.1,83,Medium,14.9,Mild,Student,0,0
5912,33,Male,France,3.5,336.2,6.4,Good,25.9,64,Low,8.6,None,Other,0,1
5913,50,Male,Switzerland,2.5,240.4,5.8,Fair,21.7,69,Medium,2.7,Mild,Healthcare,0,0
5914,39,Female,India,5.9,556.3,5.0,Poor,22.7,64,High,5.4,Mild,Healthcare,0,0
5915,32,Male,Canada,3.2,307.4,7.7,Good,24.0,75,Low,8.0,None,Healthcare,0,1
5916,24,Female,South Korea,4.5,429.1,7.4,Good,19.6,74,Low,12.6,None,Healthcare,0,0
5917,44,Female,Sweden,3.8,356.3,7.5,Good,30.4,62,Low,7.2,Mild,Office,1,1
5918,18,Male,Netherlands,4.7,450.5,7.0,Good,19.4,72,Low,12.0,None,Office,0,1
5919,42,Female,Australia,2.8,262.6,5.2,Fair,19.7,81,Medium,2.3,Mild,Service,0,0
5920,21,Female,India,0.5,51.5,6.9,Good,24.0,72,Low,5.7,None,Student,1,0
5921,50,Female,Switzerland,3.3,315.4,8.1,Excellent,25.8,62,Low,7.8,None,Office,0,0
5922,36,Male,Spain,0.0,0.0,5.5,Fair,21.1,73,Medium,0.4,Mild,Office,0,1
5923,42,Male,Australia,2.0,189.9,5.5,Fair,21.9,66,Medium,11.4,Mild,Other,0,1
5924,35,Male,Brazil,1.8,171.0,7.1,Good,22.9,72,Low,12.5,None,Office,0,0
5925,18,Male,Belgium,1.9,182.2,7.6,Good,24.1,54,Low,4.9,None,Healthcare,0,0
5926,24,Female,Finland,4.4,417.6,7.2,Good,26.6,78,Low,14.4,None,Office,0,0
5927,43,Female,Italy,2.5,233.9,7.0,Good,21.0,80,Low,11.0,None,Healthcare,0,1
5928,36,Female,Japan,5.6,530.4,5.0,Poor,22.3,59,High,12.4,Mild,Office,0,0
5929,49,Male,Brazil,2.4,228.3,7.2,Good,25.5,74,Low,9.8,None,Service,0,0
5930,39,Male,China,0.0,0.0,6.3,Good,28.7,61,Low,12.3,None,Service,1,0
5931,23,Female,France,1.6,153.1,7.2,Good,27.7,78,Low,14.7,None,Other,0,0
5932,25,Male,UK,3.8,358.7,6.3,Good,25.5,76,Low,12.7,None,Student,0,0
5933,36,Male,UK,0.5,45.5,6.6,Good,15.8,81,Low,7.1,None,Other,0,1
5934,18,Female,Brazil,2.0,186.8,9.5,Excellent,20.5,84,Low,9.5,None,Office,0,0
5935,55,Male,India,3.7,353.8,5.0,Fair,20.9,68,Medium,8.7,Moderate,Office,0,0
5936,40,Female,Italy,2.0,192.5,5.8,Fair,28.1,72,Medium,7.6,Mild,Office,1,1
5937,49,Male,Switzerland,1.7,158.4,8.0,Excellent,19.8,88,Low,11.5,None,Office,0,0
5938,18,Female,Sweden,4.4,416.2,8.4,Excellent,17.9,51,Low,6.6,None,Healthcare,1,0
5939,49,Female,Norway,2.2,205.2,7.5,Good,25.6,58,Low,4.6,None,Student,0,1
5940,61,Male,South Korea,0.9,89.0,6.6,Good,26.0,80,Low,0.6,Mild,Service,1,0
5941,19,Female,UK,3.8,356.3,5.5,Fair,21.0,62,Medium,1.3,Mild,Student,1,0
5942,44,Female,Italy,4.2,399.5,7.4,Good,22.2,88,Low,3.3,None,Healthcare,1,1
5943,35,Female,Switzerland,2.8,263.2,6.6,Good,30.4,62,Low,2.3,Mild,Office,1,0
5944,18,Male,Australia,1.6,154.9,6.1,Good,18.5,76,Low,0.4,None,Healthcare,0,0
5945,40,Female,Mexico,1.2,111.1,8.1,Excellent,19.8,73,Low,10.4,None,Service,0,0
5946,45,Male,UK,1.7,158.6,6.6,Good,26.4,69,Low,11.4,None,Student,0,1
5947,27,Female,China,0.6,57.9,5.3,Fair,24.5,74,Medium,5.3,Mild,Office,0,0
5948,48,Female,Italy,1.8,167.3,6.9,Good,23.7,73,Low,14.8,None,Other,0,0
5949,18,Female,USA,3.3,315.8,6.1,Good,17.8,77,Low,8.8,None,Service,0,0
5950,18,Female,Switzerland,3.6,342.5,5.3,Fair,20.2,86,Medium,1.5,Mild,Office,0,1
5951,36,Male,Switzerland,2.5,241.4,7.0,Good,22.8,78,Low,5.5,None,Other,0,0
5952,35,Male,Spain,3.1,292.0,7.1,Good,31.6,82,Low,8.7,Mild,Service,0,0
5953,26,Female,Sweden,2.1,204.0,3.7,Poor,21.9,68,High,14.3,Mild,Office,0,0
5954,44,Female,Italy,1.4,133.4,8.1,Excellent,18.1,56,Low,10.2,None,Other,0,1
5955,41,Male,France,2.0,188.7,7.9,Good,22.2,61,Low,0.1,None,Office,0,1
5956,45,Male,China,4.2,397.7,6.2,Good,21.1,88,Low,10.0,None,Student,0,0
5957,33,Female,Germany,0.0,0.0,6.1,Good,26.3,89,Low,9.8,None,Student,0,1
5958,42,Female,Netherlands,0.8,74.2,7.5,Good,15.0,59,Low,12.9,None,Other,0,0
5959,29,Male,Mexico,1.8,170.1,6.7,Good,21.3,63,Low,2.0,None,Student,0,0
5960,59,Male,South Korea,0.8,79.2,6.2,Good,29.7,67,Low,12.1,Mild,Student,0,0
5961,25,Female,USA,3.2,299.9,5.9,Fair,26.5,71,Medium,13.1,Mild,Service,1,0
5962,60,Female,France,0.2,19.0,7.2,Good,24.3,83,Low,12.0,Mild,Healthcare,0,0
5963,35,Female,Belgium,4.3,409.0,7.9,Good,21.8,81,Low,6.2,None,Student,0,0
5964,18,Male,Japan,5.4,516.3,4.6,Poor,26.7,61,High,10.4,Mild,Other,0,0
5965,51,Female,China,2.9,273.0,6.9,Good,26.6,59,Low,12.3,Mild,Service,0,1
5966,36,Female,Finland,1.6,149.3,5.7,Fair,19.5,56,Medium,14.2,Mild,Other,0,0
5967,45,Male,Belgium,3.9,369.6,6.8,Good,28.4,63,Low,5.0,None,Student,1,0
5968,49,Female,China,2.1,197.2,7.4,Good,32.9,57,Low,3.1,Mild,Office,0,1
5969,39,Female,France,1.2,115.7,5.3,Fair,22.4,78,Medium,11.3,Mild,Office,1,0
5970,27,Male,Germany,2.6,245.0,7.3,Good,20.0,58,Low,1.5,None,Student,0,0
5971,46,Female,Italy,0.1,12.8,7.3,Good,27.2,72,Low,8.4,None,Office,0,1
5972,35,Female,Belgium,1.4,132.1,8.4,Excellent,27.7,57,Low,12.9,None,Healthcare,0,0
5973,43,Female,Spain,1.4,128.4,6.8,Good,23.0,100,Low,3.3,None,Other,0,0
5974,18,Female,USA,2.4,224.0,7.0,Good,19.2,76,Low,5.8,None,Healthcare,0,1
5975,40,Male,China,0.1,11.0,7.5,Good,25.7,78,Low,12.4,None,Service,0,1
5976,27,Male,India,1.1,105.5,8.5,Excellent,15.0,67,Low,7.5,None,Student,0,0
5977,54,Female,Australia,1.7,164.3,4.6,Poor,24.6,78,High,2.7,Moderate,Other,1,0
5978,42,Female,France,3.2,305.1,4.7,Poor,15.0,67,High,1.3,Mild,Student,0,0
5979,37,Male,Germany,2.5,237.9,6.5,Good,22.3,88,Low,8.4,None,Student,0,0
5980,40,Female,Australia,5.0,470.5,6.7,Good,28.8,61,Low,0.3,None,Healthcare,0,0
5981,23,Male,China,1.1,108.6,4.8,Poor,32.6,70,High,5.1,Moderate,Office,0,0
5982,54,Female,USA,3.8,363.4,6.4,Good,28.2,69,Low,9.2,Mild,Office,0,0
5983,58,Male,USA,3.8,363.3,5.5,Fair,24.7,58,Medium,0.1,Moderate,Other,1,1
5984,39,Male,China,2.8,263.2,5.0,Fair,25.9,81,Medium,13.0,Mild,Other,0,0
5985,54,Female,Brazil,2.7,257.7,6.4,Good,24.9,61,Low,14.4,Mild,Other,1,0
5986,28,Female,Belgium,2.9,275.1,7.4,Good,19.9,55,Low,6.2,None,Service,0,0
5987,25,Female,Belgium,1.1,103.7,9.1,Excellent,25.7,77,Low,0.6,None,Office,0,0
5988,35,Female,Italy,3.9,374.4,8.9,Excellent,22.6,56,Low,4.2,None,Service,0,0
5989,40,Female,Italy,2.6,248.2,8.1,Excellent,27.2,77,Low,9.9,None,Other,0,0
5990,30,Female,UK,0.7,66.1,7.3,Good,28.6,80,Low,0.6,None,Healthcare,0,0
5991,41,Female,Norway,4.3,407.2,6.2,Good,22.2,61,Low,12.8,None,Other,0,0
5992,38,Female,Mexico,2.3,222.0,6.8,Good,23.7,78,Low,12.0,None,Healthcare,0,0
5993,23,Male,Australia,2.6,245.1,6.8,Good,25.0,60,Low,6.9,None,Office,0,0
5994,41,Female,Belgium,0.0,0.0,8.3,Excellent,24.9,66,Low,11.6,None,Student,0,0
5995,45,Male,Japan,2.4,225.7,8.6,Excellent,32.8,71,Low,2.6,Mild,Student,0,0
5996,37,Female,Belgium,4.4,418.4,4.9,Poor,22.9,59,High,14.3,Mild,Other,0,0
5997,48,Male,South Korea,1.6,148.1,6.4,Good,16.5,58,Low,7.5,None,Office,1,1
5998,20,Female,India,0.6,54.0,8.1,Excellent,23.2,81,Low,14.8,None,Healthcare,1,1
5999,40,Female,France,3.2,302.5,6.4,Good,31.6,50,Low,7.9,Mild,Student,0,1
6000,20,Other,Australia,0.0,0.0,6.5,Good,25.6,66,Low,10.6,None,Student,0,0
6001,21,Female,Brazil,3.4,323.2,7.9,Good,24.4,74,Low,12.0,None,Office,0,1
6002,27,Female,Norway,2.2,208.5,6.1,Good,19.2,76,Low,11.9,None,Healthcare,0,1
6003,23,Male,Italy,2.6,249.1,7.4,Good,23.5,85,Low,11.1,None,Student,0,1
6004,28,Other,USA,6.0,574.5,5.7,Fair,30.1,80,Medium,2.1,Moderate,Office,0,0
6005,32,Male,Switzerland,2.9,273.2,9.2,Excellent,28.4,74,Low,6.1,None,Office,0,1
6006,45,Female,South Korea,0.5,46.8,8.4,Excellent,29.8,68,Low,8.1,None,Service,0,0
6007,31,Male,Switzerland,2.7,253.9,6.2,Good,19.0,67,Low,10.6,None,Office,0,1
6008,18,Female,Australia,3.6,343.4,6.8,Good,27.0,68,Low,5.9,None,Student,1,1
6009,48,Female,Canada,0.0,0.0,7.7,Good,15.8,67,Low,8.4,None,Healthcare,0,0
6010,24,Female,Sweden,2.5,235.7,6.1,Good,23.6,75,Low,6.4,None,Office,0,0
6011,34,Female,Finland,0.0,0.0,6.6,Good,25.3,65,Low,10.7,None,Student,0,0
6012,40,Female,China,2.5,241.0,7.6,Good,28.7,79,Low,1.2,None,Service,0,0
6013,37,Male,USA,4.8,457.6,6.3,Good,27.7,74,Low,10.7,None,Healthcare,0,0
6014,48,Female,Switzerland,1.8,175.6,5.0,Fair,29.1,60,Medium,12.6,Mild,Other,0,0
6015,40,Female,Italy,2.6,248.7,7.3,Good,29.6,71,Low,0.2,None,Other,0,0
6016,24,Male,Canada,2.9,277.4,7.7,Good,23.7,70,Low,8.0,None,Office,0,0
6017,61,Male,Canada,3.0,286.3,6.2,Good,18.7,68,Low,3.8,Mild,Other,0,0
6018,37,Male,Italy,2.7,258.6,5.7,Fair,26.2,75,Medium,6.5,Mild,Healthcare,0,0
6019,33,Female,Canada,0.0,0.0,8.6,Excellent,27.4,53,Low,11.2,None,Healthcare,0,0
6020,46,Male,Australia,2.8,263.8,6.8,Good,21.8,67,Low,11.6,None,Student,0,0
6021,37,Male,USA,1.5,147.1,6.7,Good,24.3,69,Low,6.0,None,Other,0,0
6022,39,Male,USA,0.8,74.9,6.8,Good,26.7,65,Low,1.4,None,Other,0,0
6023,64,Female,Mexico,2.8,265.9,8.3,Excellent,30.1,74,Low,9.1,Moderate,Student,0,1
6024,31,Female,UK,2.7,257.3,6.9,Good,18.4,67,Low,4.2,None,Other,0,0
6025,31,Female,Norway,0.0,0.0,7.5,Good,28.9,66,Low,1.7,None,Other,0,0
6026,36,Female,Sweden,1.9,180.6,6.5,Good,23.8,70,Low,4.7,None,Healthcare,1,0
6027,47,Male,Canada,4.5,428.7,6.3,Good,23.3,63,Low,8.7,None,Other,0,1
6028,18,Male,Norway,0.6,58.2,6.5,Good,29.0,58,Low,13.6,None,Other,0,1
6029,18,Female,Belgium,2.8,261.3,7.2,Good,21.8,90,Low,3.2,None,Other,0,0
6030,27,Male,India,0.7,65.7,5.6,Fair,26.1,65,Medium,11.5,Mild,Service,0,0
6031,18,Male,Japan,5.0,471.3,6.5,Good,21.2,71,Low,12.9,None,Other,0,1
6032,29,Female,Brazil,3.5,337.0,6.0,Good,23.2,83,Low,2.2,None,Service,1,1
6033,41,Male,Canada,1.3,119.3,6.2,Good,29.9,73,Low,0.1,None,Service,1,0
6034,24,Female,Spain,2.8,268.0,7.1,Good,25.7,64,Low,14.2,None,Other,1,1
6035,18,Male,France,0.4,42.2,6.9,Good,29.1,51,Low,1.5,None,Student,0,0
6036,35,Female,South Korea,0.0,0.0,5.8,Fair,15.8,54,Medium,2.4,Mild,Other,0,0
6037,45,Male,India,2.4,224.0,5.6,Fair,29.3,61,Medium,6.1,Mild,Service,0,0
6038,18,Male,Brazil,1.4,129.5,7.0,Good,19.9,65,Low,4.4,None,Other,0,1
6039,44,Male,Netherlands,2.8,265.8,5.6,Fair,21.5,77,Medium,14.7,Mild,Student,0,1
6040,44,Female,Sweden,0.0,0.0,5.0,Fair,22.2,60,Medium,12.4,Mild,Student,0,0
6041,46,Female,Spain,1.7,158.2,7.7,Good,25.5,61,Low,9.7,None,Office,0,0
6042,49,Male,Belgium,4.8,455.6,4.8,Poor,25.6,83,High,0.4,Mild,Healthcare,0,1
6043,61,Female,China,4.6,441.4,5.9,Fair,26.5,89,Medium,3.6,Moderate,Other,0,0
6044,30,Female,Sweden,5.0,475.9,5.1,Fair,25.5,77,Medium,2.9,Mild,Office,0,0
6045,36,Female,UK,5.9,559.5,5.0,Poor,25.6,71,High,3.9,Mild,Office,0,0
6046,30,Female,Australia,1.9,179.9,7.1,Good,22.8,69,Low,14.2,None,Office,0,0
6047,35,Male,China,0.0,0.0,6.2,Good,24.9,60,Low,6.1,None,Student,0,0
6048,53,Female,UK,4.2,394.8,6.1,Good,25.8,81,Low,13.1,Mild,Other,0,0
6049,18,Female,Netherlands,0.8,78.4,4.7,Poor,18.3,70,High,7.1,Mild,Other,0,0
6050,24,Male,Spain,5.6,531.0,8.3,Excellent,26.1,63,Low,10.0,None,Other,0,1
6051,51,Male,China,2.6,249.3,7.0,Good,24.9,65,Low,14.1,Mild,Service,0,0
6052,47,Female,Norway,5.0,470.6,7.9,Good,28.2,82,Low,8.7,None,Healthcare,0,0
6053,30,Female,Switzerland,2.3,215.5,8.2,Excellent,30.0,62,Low,5.3,Mild,Service,0,0
6054,45,Female,Spain,1.5,140.7,8.2,Excellent,30.3,64,Low,7.1,Mild,Student,0,0
6055,39,Other,UK,3.6,341.2,6.2,Good,15.0,97,Low,7.0,None,Office,0,1
6056,53,Female,Netherlands,3.2,307.2,6.6,Good,20.5,63,Low,12.0,Mild,Office,1,0
6057,35,Male,Norway,0.8,74.3,5.7,Fair,19.9,73,Medium,5.0,Mild,Service,0,0
6058,47,Male,Canada,2.4,232.6,6.7,Good,24.1,67,Low,0.6,None,Student,0,1
6059,66,Male,Sweden,1.6,155.4,5.3,Fair,21.4,96,Medium,10.1,Moderate,Healthcare,1,0
6060,42,Male,Norway,2.8,266.6,8.3,Excellent,27.9,83,Low,12.8,None,Healthcare,0,1
6061,35,Male,Japan,2.4,232.5,7.7,Good,21.3,74,Low,7.5,None,Office,0,0
6062,43,Female,Finland,2.7,256.9,7.3,Good,24.8,62,Low,2.1,None,Office,0,0
6063,30,Female,Canada,2.5,239.7,5.9,Fair,20.9,62,Medium,2.2,Mild,Other,0,0
6064,63,Female,Belgium,2.0,187.3,8.1,Excellent,24.5,87,Low,13.4,Mild,Service,0,0
6065,37,Female,Japan,3.0,288.7,4.6,Poor,15.0,57,High,1.1,Mild,Office,0,0
6066,31,Female,Netherlands,1.4,129.4,6.7,Good,21.4,75,Low,7.5,None,Student,0,0
6067,24,Female,Norway,5.0,472.4,6.4,Good,17.0,77,Low,5.0,None,Healthcare,1,0
6068,48,Female,India,2.5,235.2,8.6,Excellent,28.4,93,Low,4.1,None,Healthcare,0,0
6069,45,Male,Norway,3.8,357.5,4.9,Poor,24.5,56,High,2.6,Mild,Student,0,1
6070,29,Male,Canada,1.7,161.3,8.4,Excellent,23.5,75,Low,4.5,None,Healthcare,0,0
6071,41,Female,Finland,1.9,177.0,8.1,Excellent,22.4,76,Low,10.7,None,Service,1,0
6072,18,Male,France,3.9,368.9,7.9,Good,23.3,76,Low,9.0,None,Student,1,0
6073,37,Female,Mexico,3.6,345.8,5.8,Fair,28.2,74,Medium,1.2,Mild,Other,0,0
6074,40,Male,China,2.3,220.0,7.2,Good,24.0,86,Low,11.3,None,Healthcare,1,0
6075,55,Female,India,0.0,0.0,8.1,Excellent,22.4,70,Low,5.3,Mild,Service,1,0
6076,25,Other,South Korea,1.7,162.8,7.1,Good,17.0,64,Low,3.3,None,Office,1,1
6077,19,Male,Norway,2.4,224.9,7.1,Good,21.8,55,Low,12.3,None,Student,1,0
6078,24,Female,Switzerland,1.5,140.3,7.4,Good,23.5,69,Low,9.5,None,Office,1,1
6079,18,Male,Netherlands,0.6,56.2,6.1,Good,25.5,65,Low,10.8,None,Other,0,0
6080,51,Male,Finland,3.8,359.2,5.6,Fair,26.1,81,Medium,4.6,Moderate,Office,1,0
6081,53,Male,UK,2.2,211.8,7.6,Good,26.8,57,Low,11.2,Mild,Healthcare,0,0
6082,38,Female,Germany,5.2,495.3,5.5,Fair,23.4,94,Medium,4.1,Mild,Healthcare,0,1
6083,49,Male,Switzerland,2.2,213.6,7.1,Good,20.4,71,Low,10.2,None,Healthcare,0,0
6084,36,Female,Germany,2.8,262.8,5.0,Fair,23.3,81,Medium,3.3,Mild,Healthcare,0,0
6085,33,Male,Germany,1.6,153.6,6.5,Good,20.2,80,Low,9.5,None,Student,0,0
6086,31,Male,Canada,4.8,452.8,8.1,Excellent,16.8,62,Low,6.8,None,Service,0,1
6087,31,Female,Finland,2.0,194.4,7.0,Good,25.7,70,Low,2.3,None,Healthcare,0,1
6088,18,Male,South Korea,2.2,208.6,8.1,Excellent,16.3,83,Low,8.9,None,Other,0,1
6089,38,Male,Mexico,1.1,101.8,8.9,Excellent,19.6,78,Low,0.2,None,Other,0,1
6090,34,Male,Brazil,3.1,291.6,7.6,Good,23.8,74,Low,10.4,None,Healthcare,0,1
6091,43,Female,Netherlands,2.0,190.5,7.2,Good,30.6,76,Low,14.2,Mild,Service,0,1
6092,36,Female,China,1.0,99.4,6.7,Good,21.3,64,Low,13.4,None,Other,1,1
6093,33,Male,Germany,2.4,230.6,6.4,Good,15.7,54,Low,14.6,None,Student,1,0
6094,24,Male,China,3.6,340.7,6.1,Good,23.4,86,Low,6.6,None,Service,0,0
6095,35,Male,Sweden,5.0,472.4,7.6,Good,23.6,66,Low,12.4,None,Service,1,1
6096,43,Male,South Korea,2.9,271.1,6.8,Good,20.2,60,Low,2.1,None,Service,0,0
6097,21,Female,Italy,1.7,159.0,7.8,Good,23.0,88,Low,0.3,None,Other,0,1
6098,36,Female,Australia,3.2,302.6,8.5,Excellent,20.9,74,Low,2.4,None,Student,0,0
6099,37,Female,Netherlands,2.3,217.5,9.0,Excellent,25.4,50,Low,6.7,None,Healthcare,0,0
6100,26,Male,USA,2.6,245.5,7.5,Good,21.0,59,Low,2.4,None,Other,0,0
6101,27,Female,South Korea,2.5,237.2,7.5,Good,21.1,72,Low,6.8,None,Service,0,0
6102,37,Female,Finland,3.2,303.2,6.3,Good,27.1,65,Low,3.5,None,Service,0,0
6103,21,Female,Switzerland,3.4,322.3,7.6,Good,23.1,75,Low,3.2,None,Service,0,0
6104,39,Female,India,2.4,230.5,5.6,Fair,21.6,68,Medium,13.8,Mild,Service,0,1
6105,24,Female,Belgium,7.8,738.8,6.0,Fair,30.0,69,Medium,7.8,Moderate,Other,1,0
6106,47,Female,China,3.9,368.4,5.2,Fair,25.4,76,Medium,10.1,Mild,Office,0,1
6107,63,Male,France,0.0,0.0,5.5,Fair,17.2,56,Medium,6.0,Moderate,Office,0,0
6108,24,Female,Sweden,2.0,188.1,7.1,Good,19.1,56,Low,2.5,None,Other,0,0
6109,41,Male,China,2.5,234.7,5.5,Fair,23.6,78,Medium,10.7,Mild,Office,0,1
6110,26,Female,Spain,3.4,324.3,5.8,Fair,27.5,72,Medium,6.7,Mild,Other,0,1
6111,47,Female,France,5.3,498.9,6.7,Good,15.4,85,Low,12.6,None,Other,0,0
6112,19,Female,Finland,1.4,135.0,7.9,Good,18.9,59,Low,1.2,None,Other,0,0
6113,40,Male,Spain,4.2,401.5,8.7,Excellent,29.4,72,Low,5.8,None,Service,1,0
6114,24,Male,Italy,2.8,266.5,4.3,Poor,20.7,61,High,2.4,Mild,Healthcare,0,0
6115,32,Male,USA,3.0,284.4,5.5,Fair,20.8,71,Medium,10.4,Mild,Office,0,0
6116,22,Female,Germany,4.3,407.7,4.1,Poor,18.2,85,High,5.1,Mild,Other,0,1
6117,44,Female,China,0.0,0.4,5.5,Fair,26.2,77,Medium,6.2,Mild,Student,0,1
6118,24,Female,India,3.3,313.7,7.1,Good,17.3,65,Low,5.2,None,Service,0,0
6119,41,Male,Japan,5.0,473.0,6.2,Good,23.6,73,Low,12.6,None,Student,0,0
6120,30,Female,Netherlands,0.9,86.7,4.9,Poor,25.8,68,High,8.5,Mild,Office,0,1
6121,33,Other,USA,2.5,237.8,7.0,Good,24.3,62,Low,10.6,None,Office,0,1
6122,36,Male,Spain,3.5,334.2,8.3,Excellent,24.9,65,Low,11.1,None,Student,0,0
6123,25,Female,India,0.0,0.0,5.7,Fair,21.5,62,Medium,10.6,Mild,Other,0,0
6124,37,Female,South Korea,3.0,285.4,7.1,Good,28.3,81,Low,14.2,None,Student,0,1
6125,53,Female,South Korea,2.1,200.3,8.6,Excellent,25.6,68,Low,9.8,Mild,Other,0,1
6126,25,Female,Sweden,4.6,437.3,5.3,Fair,18.2,69,Medium,9.7,Mild,Service,0,1
6127,49,Male,Finland,1.4,132.1,6.7,Good,21.9,66,Low,12.1,None,Other,0,0
6128,52,Female,Belgium,2.4,231.5,4.9,Poor,31.6,90,High,0.2,Severe,Student,1,0
6129,25,Female,Brazil,1.3,122.8,8.4,Excellent,25.5,56,Low,0.9,None,Healthcare,1,0
6130,18,Female,Canada,2.3,220.5,7.2,Good,26.8,65,Low,3.7,None,Service,1,1
6131,38,Female,China,1.4,135.2,6.1,Good,19.2,70,Low,2.7,None,Service,0,0
6132,28,Female,France,1.9,182.6,6.5,Good,28.0,69,Low,2.3,None,Student,1,0
6133,57,Female,Switzerland,0.8,74.1,8.0,Excellent,15.6,77,Low,8.3,Mild,Healthcare,0,0
6134,35,Female,Netherlands,1.5,138.3,4.9,Poor,25.2,96,High,2.9,Mild,Healthcare,0,0
6135,25,Male,Belgium,1.4,130.5,5.8,Fair,22.7,52,Medium,14.5,Mild,Office,0,1
6136,21,Male,Sweden,1.8,172.1,7.0,Good,22.9,59,Low,2.8,None,Healthcare,1,0
6137,48,Male,France,2.3,220.9,7.7,Good,28.1,71,Low,2.5,None,Office,1,0
6138,28,Female,Japan,0.0,0.0,7.5,Good,19.5,74,Low,8.6,None,Other,0,0
6139,35,Other,Spain,2.7,257.9,4.9,Poor,24.9,59,High,2.7,Mild,Other,1,1
6140,46,Male,Spain,4.4,414.1,7.5,Good,25.0,74,Low,10.0,None,Other,0,1
6141,29,Male,Japan,3.6,344.9,7.9,Good,25.0,64,Low,12.9,None,Office,1,1
6142,34,Female,Italy,1.2,114.0,8.0,Excellent,29.7,75,Low,6.5,None,Healthcare,0,0
6143,34,Female,USA,4.0,383.2,6.4,Good,23.8,72,Low,5.2,None,Student,0,0
6144,43,Female,Switzerland,1.3,122.3,6.1,Good,25.8,74,Low,10.3,None,Service,0,0
6145,42,Male,Finland,2.9,279.2,8.3,Excellent,28.1,76,Low,12.1,None,Healthcare,0,0
6146,32,Male,USA,0.0,0.0,6.4,Good,21.0,76,Low,4.5,None,Office,0,0
6147,35,Female,UK,3.4,324.4,6.6,Good,23.4,56,Low,12.2,None,Student,0,0
6148,30,Male,Japan,2.5,238.2,7.7,Good,18.9,73,Low,11.5,None,Office,0,0
6149,18,Male,India,2.7,257.3,8.1,Excellent,26.2,81,Low,7.2,None,Office,0,0
6150,38,Male,Spain,2.5,240.0,5.8,Fair,24.4,75,Medium,6.9,Mild,Service,0,0
6151,57,Male,Belgium,5.3,503.7,7.8,Good,26.9,65,Low,1.6,Mild,Student,0,0
6152,24,Male,Germany,3.8,362.0,5.8,Fair,23.7,71,Medium,1.3,Mild,Other,0,0
6153,25,Female,Belgium,3.6,339.5,7.4,Good,21.8,70,Low,11.2,None,Healthcare,0,0
6154,24,Male,France,3.3,316.6,7.3,Good,25.5,70,Low,8.8,None,Other,0,0
6155,43,Male,Spain,5.5,523.3,6.3,Good,29.8,70,Low,7.3,None,Office,0,0
6156,40,Female,Belgium,2.1,201.6,5.0,Fair,26.3,69,Medium,0.7,Mild,Service,0,1
6157,33,Female,South Korea,0.4,39.6,5.7,Fair,18.3,75,Medium,0.8,Mild,Student,0,0
6158,23,Female,UK,5.1,482.2,7.4,Good,24.8,56,Low,13.8,None,Service,0,0
6159,36,Female,Finland,1.8,169.8,7.3,Good,32.5,66,Low,9.9,Mild,Service,0,1
6160,18,Female,Germany,3.2,308.1,7.2,Good,21.4,63,Low,5.8,None,Student,0,1
6161,36,Female,France,3.3,311.8,6.2,Good,22.1,79,Low,10.5,None,Student,0,0
6162,45,Female,India,1.4,132.9,6.3,Good,16.2,67,Low,3.9,None,Student,0,0
6163,19,Female,Sweden,0.4,36.1,7.5,Good,23.6,65,Low,6.1,None,Service,1,1
6164,18,Female,Netherlands,4.1,389.4,6.0,Fair,22.2,68,Medium,6.9,Mild,Office,0,1
6165,53,Male,Netherlands,4.4,418.3,6.9,Good,25.9,66,Low,0.5,Mild,Service,0,1
6166,27,Female,Switzerland,3.4,327.7,5.1,Fair,24.0,84,Medium,14.9,Mild,Office,0,1
6167,48,Female,Switzerland,3.1,294.8,6.6,Good,24.7,70,Low,5.7,None,Healthcare,0,1
6168,33,Female,India,0.4,38.2,6.1,Good,26.2,78,Low,14.5,None,Office,0,1
6169,33,Male,Italy,2.0,190.2,7.0,Good,16.7,67,Low,9.7,None,Healthcare,1,0
6170,40,Male,Australia,4.3,410.4,5.0,Fair,28.6,86,Medium,13.9,Mild,Other,0,0
6171,24,Female,Norway,1.3,126.3,8.4,Excellent,25.7,82,Low,0.8,None,Healthcare,0,0
6172,36,Male,Sweden,2.7,256.4,4.6,Poor,27.9,70,High,14.4,Mild,Service,0,0
6173,30,Female,UK,3.2,303.2,7.8,Good,25.7,78,Low,6.1,None,Other,0,1
6174,19,Female,Norway,3.3,310.8,6.1,Good,25.6,73,Low,2.1,None,Service,0,1
6175,39,Female,Canada,1.0,91.5,7.6,Good,23.3,70,Low,10.1,None,Service,0,0
6176,31,Female,Belgium,2.3,220.7,7.2,Good,22.0,68,Low,11.4,None,Healthcare,1,0
6177,33,Female,Sweden,3.8,358.0,5.8,Fair,27.5,72,Medium,9.7,Mild,Student,0,0
6178,20,Female,India,5.3,502.4,5.7,Fair,25.7,72,Medium,8.1,Mild,Service,0,0
6179,54,Female,Australia,2.2,206.7,7.9,Good,22.6,63,Low,12.2,Mild,Other,0,0
6180,45,Female,Finland,3.1,296.1,6.7,Good,29.3,75,Low,10.3,None,Service,0,0
6181,46,Other,Brazil,0.8,72.2,6.6,Good,23.3,58,Low,9.3,None,Student,0,1
6182,31,Female,UK,2.1,202.9,6.2,Good,25.6,72,Low,4.8,None,Student,0,0
6183,18,Female,Belgium,1.8,166.3,6.5,Good,19.4,62,Low,13.2,None,Service,0,0
6184,58,Male,Germany,5.4,513.7,8.2,Excellent,22.2,86,Low,10.4,Mild,Student,0,0
6185,34,Male,Germany,3.6,342.0,8.3,Excellent,19.6,79,Low,13.5,None,Healthcare,0,0
6186,26,Male,France,2.6,250.8,8.6,Excellent,19.6,74,Low,9.1,None,Office,0,0
6187,40,Male,Belgium,0.0,0.0,9.0,Excellent,23.2,76,Low,12.0,None,Student,0,0
6188,49,Female,Norway,3.0,281.4,5.7,Fair,21.9,77,Medium,13.3,Mild,Service,0,0
6189,34,Male,Belgium,3.0,282.9,6.6,Good,27.8,78,Low,8.1,None,Student,0,0
6190,50,Female,USA,2.2,205.2,6.0,Fair,21.5,55,Medium,10.7,Mild,Service,0,0
6191,47,Male,Japan,2.6,244.2,7.7,Good,25.9,65,Low,8.6,None,Other,0,0
6192,22,Male,Japan,5.2,494.2,6.0,Good,21.0,66,Low,10.8,None,Service,0,0
6193,26,Male,Spain,3.9,372.7,5.9,Fair,24.0,64,Medium,7.8,Mild,Other,0,0
6194,46,Female,Brazil,1.2,111.3,6.4,Good,19.6,86,Low,12.0,None,Office,1,0
6195,18,Male,India,5.4,515.7,5.3,Fair,26.7,72,Medium,12.1,Mild,Healthcare,1,0
6196,33,Male,Australia,1.3,124.3,7.7,Good,29.9,80,Low,0.7,None,Office,0,1
6197,18,Female,Norway,4.9,467.8,6.9,Good,19.3,71,Low,3.1,None,Service,0,1
6198,29,Male,France,1.4,134.3,5.9,Fair,26.3,63,Medium,2.9,Mild,Office,0,0
6199,31,Male,Netherlands,2.3,215.9,7.8,Good,30.4,71,Low,4.8,Mild,Other,0,0
6200,30,Female,Netherlands,0.0,0.0,7.4,Good,20.7,66,Low,7.1,None,Office,0,1
6201,28,Male,Mexico,3.3,312.6,5.4,Fair,29.8,84,Medium,11.0,Mild,Healthcare,1,1
6202,21,Male,India,0.0,0.0,5.7,Fair,24.1,53,Medium,4.5,Mild,Student,0,1
6203,62,Male,USA,2.8,267.0,5.5,Fair,23.5,79,Medium,9.8,Moderate,Other,0,1
6204,57,Male,Norway,1.8,175.6,7.8,Good,22.8,71,Low,12.9,Mild,Office,0,0
6205,21,Female,China,1.9,177.2,8.5,Excellent,22.9,69,Low,6.7,None,Office,0,1
6206,53,Male,Norway,3.1,293.6,3.2,Poor,19.1,70,High,9.9,Moderate,Office,0,0
6207,30,Female,China,3.7,354.3,5.0,Fair,21.7,75,Medium,12.7,Mild,Other,0,0
6208,36,Female,Brazil,4.5,424.0,7.9,Good,32.6,70,Low,10.9,Mild,Office,0,1
6209,34,Male,Sweden,0.7,70.8,6.5,Good,18.3,79,Low,1.6,None,Student,0,0
6210,27,Other,Belgium,2.0,193.2,8.0,Good,24.7,53,Low,2.3,None,Service,0,1
6211,46,Male,Australia,2.4,230.7,6.7,Good,23.7,65,Low,1.2,None,Office,1,0
6212,36,Male,Brazil,3.4,323.4,6.9,Good,23.4,63,Low,4.2,None,Student,0,1
6213,29,Male,Australia,3.4,320.5,7.8,Good,20.8,57,Low,0.1,None,Other,0,0
6214,19,Male,Germany,1.2,117.1,6.8,Good,17.1,72,Low,9.1,None,Service,0,1
6215,24,Female,India,4.3,408.8,5.3,Fair,25.1,86,Medium,0.4,Mild,Other,0,0
6216,18,Male,Germany,3.1,295.9,7.2,Good,21.4,75,Low,6.7,None,Service,0,0
6217,35,Female,Sweden,5.2,492.4,5.7,Fair,24.3,69,Medium,7.4,Mild,Student,0,0
6218,20,Female,Canada,3.0,282.7,9.3,Excellent,21.0,79,Low,9.7,None,Student,0,0
6219,31,Male,Mexico,0.0,0.0,6.8,Good,26.0,75,Low,3.6,None,Service,0,0
6220,51,Female,Norway,1.3,120.2,7.4,Good,23.7,61,Low,13.0,Mild,Student,1,0
6221,49,Female,Belgium,2.3,214.6,7.8,Good,24.7,65,Low,7.6,None,Healthcare,0,0
6222,34,Male,UK,1.2,117.2,8.3,Excellent,26.0,88,Low,10.4,None,Service,1,0
6223,33,Male,Canada,1.2,111.9,8.2,Excellent,24.0,83,Low,5.2,None,Office,0,0
6224,57,Male,India,5.4,508.9,7.6,Good,20.8,76,Low,4.0,Mild,Office,0,1
6225,41,Female,Mexico,0.6,59.5,6.8,Good,27.4,79,Low,8.8,None,Office,0,0
6226,31,Female,India,1.7,162.1,7.7,Good,31.4,82,Low,13.4,Mild,Office,0,1
6227,18,Male,South Korea,2.6,246.9,4.4,Poor,25.5,83,High,10.8,Mild,Office,0,0
6228,39,Female,Canada,0.5,50.1,7.7,Good,15.0,79,Low,10.5,None,Healthcare,0,1
6229,44,Female,Netherlands,2.3,214.3,7.5,Good,20.6,63,Low,7.4,None,Office,0,0
6230,27,Female,Sweden,0.0,0.0,8.0,Excellent,23.2,71,Low,0.1,None,Student,0,1
6231,38,Male,Switzerland,1.7,159.0,7.8,Good,22.4,80,Low,13.2,None,Other,0,0
6232,30,Male,UK,0.8,78.1,8.0,Good,17.7,72,Low,3.6,None,Student,0,1
6233,32,Male,Italy,2.0,193.8,6.3,Good,21.0,70,Low,7.1,None,Student,1,0
6234,18,Female,Sweden,2.4,229.6,6.3,Good,23.9,66,Low,2.9,None,Healthcare,0,0
6235,32,Female,Finland,4.5,429.7,7.2,Good,24.8,57,Low,12.2,None,Healthcare,0,0
6236,46,Male,South Korea,1.6,150.5,4.6,Poor,23.9,64,High,0.5,Mild,Student,0,0
6237,27,Male,Mexico,5.7,542.1,4.4,Poor,20.5,60,High,9.8,Mild,Student,0,1
6238,35,Male,Mexico,2.8,267.7,5.9,Fair,19.0,74,Medium,0.7,Mild,Office,0,1
6239,25,Female,Brazil,1.1,103.1,6.3,Good,22.0,65,Low,13.8,None,Other,1,0
6240,39,Female,Spain,2.7,256.8,7.0,Good,22.0,71,Low,0.8,None,Healthcare,1,0
6241,32,Female,India,4.4,413.6,8.9,Excellent,25.7,74,Low,13.3,None,Other,0,0
6242,23,Male,Germany,0.9,85.3,6.3,Good,19.2,73,Low,3.8,None,Other,0,1
6243,50,Male,Germany,5.4,514.3,6.8,Good,24.6,67,Low,9.8,None,Healthcare,0,0
6244,46,Female,Germany,3.3,313.3,4.6,Poor,23.7,67,High,9.6,Mild,Other,0,0
6245,27,Other,Germany,0.8,74.5,6.4,Good,22.4,71,Low,12.8,None,Office,0,0
6246,40,Female,Belgium,1.7,163.1,7.6,Good,25.5,71,Low,6.0,None,Healthcare,0,1
6247,41,Female,Canada,1.9,178.3,6.3,Good,22.1,79,Low,7.9,None,Student,0,0
6248,42,Female,Mexico,4.2,395.4,5.7,Fair,28.0,73,Medium,5.8,Mild,Service,0,1
6249,18,Male,Germany,0.7,69.4,4.4,Poor,26.8,59,High,9.8,Mild,Office,0,0
6250,47,Female,USA,4.8,456.9,5.4,Fair,21.3,67,Medium,4.7,Mild,Healthcare,0,1
6251,28,Female,Sweden,4.2,400.2,7.7,Good,30.2,64,Low,9.6,Mild,Other,0,1
6252,30,Other,Australia,5.0,474.7,5.7,Fair,16.0,68,Medium,11.3,Mild,Student,0,0
6253,66,Male,Norway,2.6,245.9,6.7,Good,30.1,76,Low,1.9,Moderate,Service,0,1
6254,38,Male,Brazil,4.4,413.5,5.5,Fair,29.5,78,Medium,5.7,Mild,Healthcare,0,0
6255,30,Female,Sweden,2.1,203.2,6.3,Good,19.6,73,Low,0.5,None,Office,0,0
6256,18,Male,Netherlands,4.0,383.1,7.8,Good,22.8,58,Low,1.4,None,Office,0,0
6257,51,Male,Switzerland,2.6,250.0,6.1,Good,19.5,64,Low,0.7,Mild,Student,0,0
6258,18,Male,Germany,5.2,494.2,5.3,Fair,22.1,68,Medium,10.6,Mild,Office,0,0
6259,22,Female,Switzerland,2.9,275.7,8.0,Excellent,29.5,77,Low,14.7,None,Healthcare,0,0
6260,31,Female,USA,1.2,117.1,6.8,Good,23.3,56,Low,9.2,None,Student,0,0
6261,51,Male,India,4.8,453.1,5.9,Fair,15.8,61,Medium,5.1,Moderate,Service,1,0
6262,44,Female,Australia,2.8,267.2,6.8,Good,26.9,76,Low,11.6,None,Healthcare,0,1
6263,33,Male,France,1.7,161.0,8.0,Excellent,24.9,74,Low,7.6,None,Office,0,0
6264,38,Female,Brazil,1.6,154.3,6.9,Good,19.2,85,Low,2.1,None,Service,0,1
6265,27,Female,South Korea,1.2,110.7,6.0,Fair,30.2,89,Medium,13.4,Moderate,Service,1,0
6266,36,Female,Finland,0.4,33.4,7.1,Good,26.8,60,Low,1.9,None,Student,0,0
6267,35,Male,China,1.9,177.3,4.8,Poor,22.7,58,High,14.6,Mild,Office,0,0
6268,46,Female,Mexico,2.8,266.7,5.5,Fair,25.0,62,Medium,5.4,Mild,Other,0,0
6269,46,Female,India,1.9,183.2,7.1,Good,29.0,95,Low,10.9,None,Service,0,1
6270,40,Female,South Korea,0.0,0.0,7.0,Good,26.3,64,Low,14.4,None,Service,0,0
6271,30,Male,Switzerland,0.2,18.5,7.4,Good,18.0,82,Low,8.9,None,Healthcare,0,0
6272,43,Male,France,3.9,371.5,6.9,Good,21.1,84,Low,14.6,None,Student,0,0
6273,33,Female,Norway,2.3,221.2,7.6,Good,16.2,51,Low,2.7,None,Other,0,0
6274,22,Male,Japan,0.0,0.0,7.1,Good,23.2,72,Low,0.9,None,Office,0,1
6275,30,Male,Canada,2.0,186.8,7.9,Good,16.2,72,Low,9.7,None,Office,0,1
6276,36,Female,Sweden,2.7,255.3,7.1,Good,24.4,80,Low,1.6,None,Healthcare,1,0
6277,45,Male,Germany,3.9,373.6,7.0,Good,27.2,85,Low,7.6,None,Other,0,0
6278,32,Other,USA,1.5,139.7,5.8,Fair,23.4,80,Medium,11.7,Mild,Office,0,1
6279,20,Male,Canada,3.5,327.9,5.6,Fair,18.9,74,Medium,12.4,Mild,Service,0,0
6280,35,Female,Italy,2.5,234.3,6.0,Fair,23.8,78,Medium,8.4,Mild,Service,1,0
6281,36,Female,India,1.9,184.7,9.0,Excellent,24.9,50,Low,7.0,None,Healthcare,0,0
6282,37,Female,Finland,3.8,361.9,8.1,Excellent,27.6,58,Low,1.4,None,Office,0,1
6283,46,Female,South Korea,1.1,102.8,5.8,Fair,21.3,63,Medium,10.2,Mild,Healthcare,0,0
6284,47,Male,Australia,3.9,372.5,6.4,Good,26.0,74,Low,11.2,None,Healthcare,1,1
6285,27,Female,Canada,0.8,74.8,5.9,Fair,19.4,57,Medium,5.9,Mild,Student,0,0
6286,27,Female,Italy,1.6,155.4,5.8,Fair,20.3,74,Medium,8.1,Mild,Office,0,0
6287,22,Male,Brazil,1.9,182.7,7.9,Good,29.0,81,Low,3.8,None,Office,0,0
6288,43,Female,Spain,2.3,221.7,4.9,Poor,31.7,50,High,5.8,Moderate,Healthcare,0,0
6289,52,Male,Netherlands,0.0,0.0,7.6,Good,21.0,90,Low,8.9,Mild,Healthcare,0,1
6290,31,Female,Netherlands,2.7,252.5,6.5,Good,28.6,61,Low,11.4,None,Service,1,0
6291,32,Male,Mexico,0.0,0.0,8.2,Excellent,26.7,76,Low,0.9,None,Student,1,0
6292,52,Female,France,2.8,261.4,6.8,Good,22.0,61,Low,7.4,Mild,Healthcare,0,0
6293,41,Female,Mexico,2.9,276.6,8.4,Excellent,23.6,73,Low,1.1,None,Office,0,1
6294,40,Male,France,4.0,376.7,6.5,Good,26.1,52,Low,13.5,None,Student,1,1
6295,20,Female,Norway,0.5,47.2,8.1,Excellent,26.5,81,Low,9.6,None,Office,1,1
6296,43,Male,Mexico,2.8,270.2,6.8,Good,29.4,57,Low,7.2,None,Student,0,0
6297,23,Male,Spain,2.4,230.7,6.7,Good,20.3,75,Low,0.6,None,Service,0,1
6298,21,Male,Spain,1.6,156.6,8.2,Excellent,27.5,80,Low,7.9,None,Other,0,1
6299,30,Male,Australia,0.9,84.3,7.0,Good,27.0,64,Low,9.4,None,Other,0,0
6300,27,Male,Belgium,2.6,249.0,6.8,Good,29.9,64,Low,6.3,None,Healthcare,1,0
6301,32,Female,Switzerland,4.5,428.0,5.5,Fair,22.7,54,Medium,4.4,Mild,Other,0,0
6302,18,Male,Spain,2.1,203.2,6.7,Good,28.5,72,Low,14.4,None,Office,1,0
6303,46,Female,Canada,4.4,416.2,3.1,Poor,29.8,73,High,3.1,Mild,Office,1,0
6304,48,Male,Netherlands,4.2,400.8,5.8,Fair,25.1,62,Medium,14.6,Mild,Student,0,0
6305,18,Female,Canada,0.0,0.0,7.4,Good,24.9,69,Low,0.2,None,Service,0,0
6306,46,Female,Germany,1.2,115.1,6.6,Good,24.0,56,Low,7.8,None,Healthcare,0,0
6307,25,Male,India,1.7,159.3,6.5,Good,27.4,57,Low,5.2,None,Healthcare,0,1
6308,45,Female,Germany,4.5,426.1,7.0,Good,28.5,79,Low,4.2,None,Office,0,1
6309,34,Female,India,2.5,234.7,8.5,Excellent,26.4,69,Low,5.3,None,Office,0,0
6310,35,Female,USA,4.4,421.4,5.9,Fair,26.6,59,Medium,9.2,Mild,Other,0,1
6311,32,Male,Germany,2.3,218.1,7.7,Good,21.3,82,Low,6.2,None,Healthcare,0,0
6312,49,Male,Italy,4.5,425.4,6.3,Good,21.4,70,Low,2.7,None,Student,0,1
6313,20,Female,Mexico,3.2,302.0,7.2,Good,19.1,74,Low,9.4,None,Service,1,0
6314,42,Female,Japan,2.4,223.9,9.1,Excellent,32.1,76,Low,14.2,Mild,Healthcare,0,0
6315,48,Male,Norway,4.3,404.9,7.5,Good,22.4,72,Low,14.7,None,Student,0,0
6316,43,Male,Belgium,1.7,165.6,8.2,Excellent,26.8,69,Low,12.3,None,Office,1,0
6317,62,Female,Sweden,5.5,525.5,5.7,Fair,20.2,84,Medium,2.7,Moderate,Student,0,0
6318,28,Female,UK,0.3,29.2,6.8,Good,22.1,56,Low,3.0,None,Student,0,1
6319,46,Female,Australia,1.9,176.1,5.4,Fair,19.3,50,Medium,0.2,Mild,Healthcare,0,0
6320,33,Male,Brazil,2.7,251.9,5.9,Fair,20.6,64,Medium,12.0,Mild,Student,0,0
6321,49,Male,South Korea,1.4,131.8,7.0,Good,24.3,64,Low,2.5,None,Healthcare,0,1
6322,34,Male,South Korea,3.1,293.7,5.7,Fair,25.3,54,Medium,14.3,Mild,Other,0,0
6323,30,Male,France,2.3,220.3,6.9,Good,24.2,75,Low,6.8,None,Other,0,0
6324,50,Male,Finland,3.0,284.5,6.0,Good,20.8,69,Low,0.7,None,Student,0,1
6325,29,Female,Italy,1.2,110.8,7.0,Good,23.2,77,Low,9.6,None,Student,1,1
6326,18,Female,Belgium,1.0,92.7,7.7,Good,27.6,69,Low,1.7,None,Service,0,1
6327,28,Female,UK,2.5,233.4,7.3,Good,28.6,57,Low,9.9,None,Office,1,0
6328,42,Male,Sweden,3.6,341.4,7.0,Good,26.8,64,Low,10.2,None,Other,1,1
6329,51,Male,Brazil,5.3,500.2,7.8,Good,25.4,73,Low,0.7,Mild,Student,0,0
6330,36,Male,Germany,0.0,0.0,4.8,Poor,22.8,83,High,13.2,Mild,Student,0,0
6331,50,Male,Italy,2.2,209.4,6.6,Good,21.3,71,Low,5.8,None,Student,0,0
6332,18,Female,China,3.2,300.6,7.5,Good,23.7,72,Low,4.8,None,Student,1,1
6333,29,Male,Sweden,3.0,289.5,4.1,Poor,24.7,82,High,9.8,Mild,Student,0,0
6334,31,Male,Finland,0.7,63.5,9.0,Excellent,28.0,74,Low,14.0,None,Service,0,0
6335,33,Male,Switzerland,1.4,133.9,6.4,Good,21.6,69,Low,14.6,None,Office,1,0
6336,36,Male,China,2.5,235.5,5.8,Fair,20.0,63,Medium,12.5,Mild,Service,0,0
6337,43,Female,Netherlands,6.5,619.9,6.9,Good,16.2,92,Low,11.5,None,Healthcare,1,0
6338,29,Male,Brazil,3.9,371.9,5.5,Fair,28.3,60,Medium,8.2,Mild,Service,0,1
6339,36,Female,Finland,3.0,287.4,8.2,Excellent,23.5,65,Low,8.1,None,Office,1,0
6340,34,Female,USA,0.0,0.0,7.0,Good,17.7,50,Low,9.2,None,Office,0,0
6341,23,Male,Italy,0.5,49.8,8.6,Excellent,21.7,89,Low,14.7,None,Healthcare,0,0
6342,33,Male,Mexico,0.7,62.4,8.4,Excellent,21.1,68,Low,0.5,None,Healthcare,0,0
6343,33,Female,Belgium,3.0,288.5,6.7,Good,21.9,82,Low,7.1,None,Office,0,0
6344,33,Female,France,2.3,218.1,5.8,Fair,26.5,72,Medium,3.2,Mild,Other,1,1
6345,35,Male,Italy,1.5,147.0,8.9,Excellent,19.7,77,Low,9.1,None,Office,0,0
6346,35,Male,UK,3.0,285.2,4.7,Poor,27.3,67,High,8.8,Mild,Healthcare,0,0
6347,29,Male,India,0.2,22.2,6.6,Good,21.3,50,Low,14.0,None,Other,0,0
6348,50,Male,Italy,1.3,121.4,7.8,Good,20.8,80,Low,5.2,None,Healthcare,0,0
6349,20,Male,Australia,2.4,228.1,4.9,Poor,19.3,70,High,11.7,Mild,Service,0,0
6350,26,Male,Switzerland,5.3,503.9,4.7,Poor,23.6,74,High,10.9,Mild,Office,1,1
6351,68,Male,Brazil,3.8,365.1,6.2,Good,25.1,74,Low,6.6,Mild,Service,1,0
6352,22,Male,Italy,3.1,298.9,6.9,Good,22.3,65,Low,7.9,None,Student,0,0
6353,18,Male,Italy,1.9,180.4,4.5,Poor,23.7,78,High,6.9,Mild,Service,0,0
6354,43,Female,Canada,2.5,234.9,8.0,Good,22.9,58,Low,14.0,None,Student,0,0
6355,18,Female,China,4.3,410.8,6.2,Good,27.5,73,Low,1.7,None,Office,0,0
6356,32,Female,Brazil,5.2,497.7,7.1,Good,23.1,66,Low,8.9,None,Healthcare,0,1
6357,60,Male,Italy,2.1,203.3,5.8,Fair,24.2,70,Medium,5.8,Moderate,Other,1,0
6358,18,Female,India,3.2,301.7,6.1,Good,30.2,71,Low,1.4,Mild,Other,0,0
6359,18,Male,USA,3.9,367.8,6.8,Good,34.8,77,Low,3.7,Mild,Student,1,0
6360,18,Female,Switzerland,3.1,295.8,6.7,Good,20.7,55,Low,9.2,None,Healthcare,0,0
6361,45,Male,Germany,0.5,50.9,7.7,Good,29.5,50,Low,11.2,None,Student,0,0
6362,48,Male,Switzerland,1.4,131.3,7.7,Good,20.1,68,Low,7.7,None,Other,0,0
6363,28,Female,India,3.6,343.0,5.1,Fair,26.8,94,Medium,7.6,Mild,Other,1,0
6364,43,Female,Germany,1.7,157.2,7.0,Good,31.1,86,Low,9.7,Mild,Office,0,1
6365,51,Female,UK,5.2,493.1,6.0,Good,26.4,68,Low,2.2,Mild,Student,0,0
6366,56,Male,India,2.0,193.7,7.2,Good,23.9,82,Low,2.7,Mild,Student,1,0
6367,32,Male,USA,0.5,47.4,6.5,Good,16.5,83,Low,14.4,None,Other,0,1
6368,18,Male,Canada,4.1,384.9,6.5,Good,21.7,60,Low,14.4,None,Other,0,0
6369,25,Female,Spain,2.0,186.2,9.0,Excellent,21.5,72,Low,11.6,None,Office,1,0
6370,29,Female,China,2.1,197.5,5.3,Fair,21.2,50,Medium,11.9,Mild,Healthcare,1,0
6371,31,Female,Australia,3.8,361.2,5.9,Fair,24.1,66,Medium,1.4,Mild,Healthcare,0,0
6372,32,Male,USA,1.0,96.4,4.0,Poor,25.1,62,High,5.6,Mild,Healthcare,0,0
6373,48,Female,Germany,2.6,249.2,6.0,Fair,15.0,76,Medium,6.8,Mild,Service,0,0
6374,50,Male,Canada,0.7,64.9,5.6,Fair,17.4,66,Medium,2.1,Mild,Healthcare,0,0
6375,32,Male,South Korea,2.6,248.3,8.9,Excellent,28.8,66,Low,0.4,None,Office,0,0
6376,48,Female,Germany,0.0,4.0,6.6,Good,22.6,82,Low,3.3,None,Student,1,0
6377,39,Female,India,1.2,117.7,6.3,Good,21.5,50,Low,14.5,None,Student,0,0
6378,35,Male,India,3.8,365.5,7.2,Good,25.3,58,Low,13.9,None,Healthcare,1,0
6379,45,Male,Finland,4.4,422.4,5.0,Fair,28.8,77,Medium,3.5,Mild,Service,0,0
6380,35,Male,Canada,1.2,111.4,7.7,Good,17.2,64,Low,14.1,None,Student,0,0
6381,59,Male,Canada,1.2,109.9,7.7,Good,18.9,74,Low,5.1,Mild,Service,0,0
6382,18,Male,Norway,2.7,252.1,8.5,Excellent,22.0,82,Low,11.4,None,Healthcare,0,0
6383,28,Male,Mexico,1.3,122.3,7.5,Good,29.3,78,Low,5.7,None,Service,0,0
6384,33,Male,Finland,3.9,371.1,4.2,Poor,30.6,84,High,0.7,Moderate,Other,1,1
6385,40,Female,Canada,0.4,39.4,8.3,Excellent,24.2,71,Low,14.5,None,Other,1,0
6386,50,Female,Belgium,1.6,148.1,10.0,Excellent,25.7,61,Low,4.1,None,Other,0,0
6387,34,Male,South Korea,5.2,495.8,6.2,Good,21.5,60,Low,0.8,None,Office,0,1
6388,18,Other,India,3.1,291.4,6.5,Good,23.6,65,Low,14.9,None,Office,0,0
6389,45,Female,Norway,3.4,320.8,5.9,Fair,24.1,79,Medium,9.6,Mild,Healthcare,0,1
6390,44,Male,Finland,2.2,210.4,4.7,Poor,19.3,74,High,6.7,Mild,Service,1,1
6391,18,Male,Brazil,0.3,29.1,7.4,Good,25.2,81,Low,12.4,None,Service,0,0
6392,34,Female,Canada,4.8,458.2,5.6,Fair,27.1,85,Medium,10.8,Mild,Other,0,0
6393,18,Female,Mexico,2.8,265.3,7.0,Good,26.6,60,Low,6.4,None,Other,0,0
6394,27,Female,Mexico,3.9,372.7,6.8,Good,20.2,80,Low,2.2,None,Other,0,0
6395,24,Female,Australia,2.1,198.5,9.0,Excellent,21.5,67,Low,9.9,None,Service,1,0
6396,44,Male,Italy,2.5,233.8,6.1,Good,22.2,59,Low,13.3,None,Service,0,0
6397,36,Male,Norway,1.9,180.5,5.2,Fair,25.2,86,Medium,7.7,Mild,Other,0,1
6398,19,Male,Finland,2.8,266.8,6.9,Good,24.9,69,Low,8.4,None,Service,1,0
6399,45,Male,France,1.8,170.4,6.6,Good,28.7,79,Low,12.7,None,Office,1,1
6400,18,Male,Brazil,1.2,114.6,9.1,Excellent,24.7,91,Low,14.2,None,Healthcare,0,0
6401,38,Male,Netherlands,2.2,209.3,7.7,Good,29.1,55,Low,8.1,None,Other,1,0
6402,25,Male,Italy,3.3,312.7,6.3,Good,29.1,71,Low,0.7,None,Student,0,1
6403,30,Male,Brazil,4.2,403.3,7.6,Good,21.6,63,Low,2.3,None,Office,0,0
6404,41,Male,Mexico,0.5,45.5,8.3,Excellent,24.4,67,Low,14.2,None,Other,0,0
6405,41,Male,France,3.8,363.9,5.3,Fair,23.3,73,Medium,12.5,Mild,Other,0,0
6406,51,Male,Italy,1.5,138.0,7.3,Good,26.2,62,Low,9.5,Mild,Service,0,1
6407,34,Male,Japan,1.0,93.9,9.5,Excellent,26.2,77,Low,7.0,None,Office,0,0
6408,38,Female,Sweden,1.1,101.7,5.1,Fair,26.1,81,Medium,6.2,Mild,Healthcare,1,1
6409,29,Female,China,6.4,608.6,5.1,Fair,23.8,78,Medium,0.7,Mild,Student,0,0
6410,37,Male,Canada,3.6,343.6,6.2,Good,24.6,77,Low,13.0,None,Other,0,1
6411,40,Male,Canada,0.8,73.4,7.5,Good,31.2,68,Low,5.6,Mild,Healthcare,0,0
6412,33,Female,Norway,1.7,158.8,7.1,Good,22.3,63,Low,7.8,None,Student,1,0
6413,18,Female,USA,0.5,44.1,7.2,Good,22.1,68,Low,8.1,None,Healthcare,0,0
6414,38,Female,China,0.5,48.8,6.7,Good,21.2,70,Low,12.6,None,Service,0,1
6415,39,Male,Spain,0.5,43.5,7.3,Good,26.6,67,Low,3.0,None,Office,0,0
6416,26,Female,Australia,0.9,89.0,8.6,Excellent,25.7,70,Low,7.1,None,Other,0,0
6417,19,Female,Canada,3.6,346.6,8.5,Excellent,24.3,63,Low,14.3,None,Student,0,1
6418,52,Female,Brazil,4.1,389.4,7.7,Good,22.0,81,Low,10.6,Mild,Other,0,1
6419,40,Male,UK,1.1,106.2,8.3,Excellent,25.0,69,Low,6.0,None,Student,1,0
6420,32,Female,Japan,1.9,178.6,6.8,Good,26.3,87,Low,9.5,None,Healthcare,0,1
6421,21,Female,Norway,3.8,357.0,9.6,Excellent,19.8,82,Low,8.8,None,Other,0,0
6422,25,Female,France,2.6,242.7,4.9,Poor,26.5,80,High,8.2,Mild,Office,0,0
6423,50,Male,USA,3.0,287.1,6.9,Good,19.1,66,Low,8.0,None,Student,0,0
6424,36,Female,Mexico,1.7,163.7,7.6,Good,31.7,67,Low,10.8,Mild,Service,1,1
6425,28,Male,Brazil,4.8,455.7,6.4,Good,23.4,71,Low,13.2,None,Healthcare,0,0
6426,41,Male,UK,5.1,482.2,7.6,Good,29.2,76,Low,6.2,None,Service,1,0
6427,25,Female,Finland,3.6,340.5,6.3,Good,23.8,76,Low,14.6,None,Healthcare,0,0
6428,53,Male,Italy,1.6,152.0,8.3,Excellent,29.3,67,Low,6.0,Mild,Office,0,0
6429,51,Female,Belgium,0.5,49.8,7.1,Good,30.1,91,Low,10.2,Moderate,Service,0,0
6430,29,Female,Netherlands,5.1,486.2,5.8,Fair,26.0,67,Medium,4.1,Mild,Healthcare,0,0
6431,27,Male,South Korea,3.0,284.1,5.9,Fair,20.4,50,Medium,11.2,Mild,Service,0,0
6432,18,Female,Switzerland,2.7,254.4,6.9,Good,20.7,62,Low,5.8,None,Healthcare,0,0
6433,18,Female,Italy,3.6,339.0,5.8,Fair,25.4,73,Medium,5.7,Mild,Office,0,0
6434,18,Male,France,2.5,241.4,3.2,Poor,24.5,67,High,3.0,Mild,Other,1,0
6435,36,Female,Brazil,2.1,199.7,4.4,Poor,27.7,76,High,1.0,Mild,Healthcare,0,0
6436,31,Male,Spain,5.8,553.3,5.5,Fair,23.5,73,Medium,5.2,Mild,Student,0,1
6437,18,Male,Australia,4.3,405.9,5.9,Fair,25.8,69,Medium,9.0,Mild,Other,0,0
6438,31,Male,Finland,5.0,474.2,7.8,Good,24.1,62,Low,0.7,None,Service,0,1
6439,41,Male,Italy,4.9,462.9,6.7,Good,25.7,80,Low,2.9,None,Service,0,1
6440,41,Male,Australia,0.0,0.0,7.2,Good,25.4,58,Low,3.7,None,Service,0,0
6441,18,Other,Australia,3.7,356.1,5.6,Fair,27.2,63,Medium,2.8,Mild,Student,0,0
6442,33,Female,UK,3.2,308.6,9.9,Excellent,25.6,86,Low,1.5,None,Student,0,1
6443,18,Female,Finland,1.6,149.8,6.8,Good,29.7,67,Low,2.7,None,Student,0,0
6444,45,Male,UK,6.9,656.6,7.1,Good,31.9,50,Low,14.0,Mild,Student,0,0
6445,44,Female,Sweden,2.7,259.3,6.6,Good,28.4,79,Low,11.7,None,Student,0,0
6446,24,Male,Finland,1.7,164.0,7.4,Good,23.7,87,Low,13.8,None,Student,0,0
6447,25,Male,USA,2.3,217.9,5.0,Poor,27.4,57,High,13.3,Mild,Other,0,1
6448,29,Male,France,3.4,325.8,7.0,Good,27.2,70,Low,6.0,None,Other,1,0
6449,18,Male,UK,3.2,301.2,6.6,Good,21.5,93,Low,5.5,None,Service,1,1
6450,39,Male,Canada,1.7,162.5,6.9,Good,31.8,84,Low,11.7,Mild,Student,1,0
6451,31,Female,Mexico,3.8,357.2,7.8,Good,28.9,89,Low,13.5,None,Office,0,0
6452,46,Female,South Korea,2.6,242.3,4.7,Poor,23.4,65,High,11.3,Mild,Service,1,1
6453,21,Male,France,2.1,201.7,6.1,Good,24.3,67,Low,8.7,None,Service,0,0
6454,27,Male,Germany,2.2,207.8,4.2,Poor,19.5,84,High,8.4,Mild,Healthcare,0,0
6455,18,Male,Brazil,0.8,71.4,6.6,Good,24.2,72,Low,7.0,None,Service,1,0
6456,22,Female,Belgium,1.1,99.8,8.2,Excellent,26.0,83,Low,6.8,None,Service,0,1
6457,20,Female,Germany,0.9,87.4,8.0,Excellent,23.4,67,Low,0.8,None,Service,0,0
6458,46,Female,Mexico,0.0,0.0,6.7,Good,19.6,79,Low,3.2,None,Healthcare,0,0
6459,26,Female,Belgium,3.0,286.2,6.8,Good,26.4,66,Low,2.2,None,Office,0,0
6460,36,Male,Australia,1.0,92.5,6.4,Good,22.9,60,Low,7.0,None,Student,0,0
6461,30,Other,UK,1.9,178.7,6.8,Good,20.9,72,Low,4.3,None,Healthcare,0,1
6462,19,Male,Japan,2.0,194.5,8.0,Excellent,25.6,63,Low,5.7,None,Student,1,1
6463,32,Male,India,1.0,96.9,8.9,Excellent,19.6,55,Low,14.6,None,Other,0,0
6464,42,Female,Netherlands,2.0,185.5,7.6,Good,24.4,54,Low,11.5,None,Service,0,0
6465,20,Male,Mexico,2.6,248.9,6.5,Good,28.9,77,Low,2.1,None,Service,0,0
6466,44,Female,South Korea,1.5,138.4,8.9,Excellent,27.6,70,Low,12.1,None,Service,0,0
6467,24,Male,France,1.1,106.9,7.5,Good,26.0,61,Low,6.6,None,Service,0,1
6468,29,Female,Netherlands,1.6,150.6,6.4,Good,24.3,72,Low,12.8,None,Office,0,0
6469,41,Male,Norway,3.9,373.1,6.2,Good,15.7,78,Low,11.4,None,Student,0,0
6470,27,Male,Sweden,1.6,156.6,6.2,Good,22.8,75,Low,7.8,None,Healthcare,1,0
6471,35,Female,UK,2.8,261.4,7.5,Good,24.0,76,Low,10.8,None,Healthcare,0,1
6472,31,Female,South Korea,1.7,166.2,7.1,Good,27.1,75,Low,14.1,None,Office,0,0
6473,36,Female,Brazil,2.3,222.3,6.9,Good,20.5,65,Low,8.1,None,Office,0,1
6474,18,Female,China,3.8,358.3,5.7,Fair,26.1,78,Medium,2.2,Mild,Other,0,0
6475,18,Female,Belgium,1.2,109.6,9.2,Excellent,26.5,59,Low,8.5,None,Student,0,0
6476,42,Female,South Korea,5.8,555.0,6.0,Fair,24.3,76,Medium,0.7,Mild,Service,0,1
6477,47,Male,Sweden,3.0,288.4,7.9,Good,27.6,62,Low,6.8,None,Service,0,1
6478,24,Male,Canada,2.8,266.6,5.4,Fair,19.1,53,Medium,3.3,Mild,Office,0,0
6479,32,Male,Canada,0.9,88.0,7.5,Good,20.4,52,Low,9.7,None,Office,0,1
6480,38,Female,South Korea,3.5,330.2,5.7,Fair,24.4,52,Medium,6.0,Mild,Healthcare,0,1
6481,43,Male,Australia,5.0,474.6,6.9,Good,21.1,77,Low,7.7,None,Healthcare,0,1
6482,18,Female,Switzerland,1.4,129.8,5.8,Fair,23.6,83,Medium,13.4,Mild,Office,1,1
6483,24,Female,Spain,1.0,94.4,5.4,Fair,28.6,82,Medium,6.9,Mild,Other,0,0
6484,31,Female,Brazil,2.6,244.2,5.5,Fair,15.0,77,Medium,15.0,Mild,Other,0,1
6485,43,Male,Belgium,1.0,93.5,5.0,Poor,33.4,68,High,2.0,Moderate,Service,0,0
6486,64,Male,France,1.8,173.2,5.9,Fair,26.6,56,Medium,12.9,Moderate,Other,0,0
6487,32,Female,Mexico,3.8,356.7,7.4,Good,24.4,76,Low,5.5,None,Service,0,0
6488,18,Male,India,5.2,489.5,5.3,Fair,22.5,80,Medium,11.9,Mild,Other,1,0
6489,39,Male,UK,3.8,363.0,5.7,Fair,25.7,70,Medium,7.5,Mild,Other,0,1
6490,50,Male,Norway,1.2,114.9,7.2,Good,22.4,80,Low,7.8,None,Office,0,0
6491,36,Male,Finland,2.1,198.1,4.4,Poor,24.6,63,High,8.0,Mild,Other,0,1
6492,24,Male,Germany,2.0,187.7,7.5,Good,24.2,79,Low,3.6,None,Service,0,0
6493,46,Female,South Korea,2.7,251.8,6.5,Good,22.2,67,Low,0.8,None,Student,1,1
6494,42,Male,Mexico,3.8,363.5,6.9,Good,25.0,79,Low,9.8,None,Student,0,1
6495,22,Female,UK,1.3,123.4,6.7,Good,21.7,83,Low,0.4,None,Healthcare,0,0
6496,39,Male,Germany,5.8,549.3,5.8,Fair,25.5,63,Medium,10.9,Mild,Service,0,1
6497,46,Female,Belgium,0.9,89.2,8.0,Good,26.6,65,Low,4.9,None,Office,0,0
6498,49,Female,Mexico,1.3,119.1,6.8,Good,31.8,64,Low,5.9,Mild,Office,0,1
6499,34,Male,South Korea,1.3,123.5,7.5,Good,24.6,81,Low,11.3,None,Healthcare,0,0
6500,30,Male,UK,6.2,588.1,7.3,Good,33.2,84,Low,2.3,Mild,Student,0,0
6501,49,Male,Spain,5.0,470.4,4.8,Poor,26.3,69,High,9.7,Mild,Service,0,0
6502,20,Female,UK,1.3,121.3,6.0,Fair,24.9,76,Medium,8.6,Mild,Other,0,0
6503,40,Female,Italy,1.8,171.8,5.7,Fair,20.5,66,Medium,6.3,Mild,Healthcare,0,1
6504,18,Female,Netherlands,2.4,223.9,6.2,Good,23.1,63,Low,9.4,None,Service,0,0
6505,47,Male,Brazil,1.8,168.9,6.9,Good,28.3,76,Low,5.4,None,Other,0,0
6506,31,Male,Spain,3.9,365.9,5.4,Fair,19.5,78,Medium,4.0,Mild,Other,0,0
6507,50,Male,Australia,3.2,307.4,5.5,Fair,21.0,62,Medium,1.3,Mild,Service,1,1
6508,40,Male,Mexico,2.8,266.4,6.2,Good,23.9,70,Low,8.9,None,Office,0,0
6509,20,Female,Norway,3.7,354.3,7.5,Good,23.7,69,Low,14.4,None,Service,0,0
6510,52,Male,Norway,3.2,300.0,5.9,Fair,28.5,52,Medium,12.1,Moderate,Service,0,0
6511,53,Female,Norway,3.5,333.4,6.6,Good,28.9,66,Low,1.4,Mild,Office,0,0
6512,45,Female,South Korea,2.8,262.2,6.2,Good,19.3,72,Low,3.3,None,Healthcare,0,1
6513,25,Female,Canada,5.1,482.9,6.1,Good,27.3,65,Low,9.7,None,Office,0,0
6514,31,Male,Netherlands,2.7,256.3,5.8,Fair,22.0,62,Medium,0.0,Mild,Other,0,0
6515,36,Female,Sweden,2.3,216.3,3.7,Poor,25.2,71,High,8.4,Mild,Student,1,0
6516,26,Other,Italy,3.7,351.2,5.7,Fair,23.6,71,Medium,14.6,Mild,Healthcare,0,0
6517,55,Female,Belgium,3.4,318.5,6.8,Good,27.2,73,Low,5.3,Mild,Service,1,0
6518,36,Female,France,2.5,234.6,6.7,Good,15.9,71,Low,13.4,None,Service,0,0
6519,18,Female,Australia,0.0,4.0,7.8,Good,22.6,77,Low,1.6,None,Other,0,0
6520,39,Female,USA,4.6,438.4,4.5,Poor,30.0,79,High,0.7,Moderate,Other,0,0
6521,30,Male,Canada,4.4,414.5,6.8,Good,23.7,80,Low,5.2,None,Healthcare,0,1
6522,34,Female,UK,1.2,116.3,6.2,Good,15.0,81,Low,8.7,None,Healthcare,0,1
6523,30,Female,Norway,3.1,296.8,5.6,Fair,21.2,81,Medium,12.5,Mild,Healthcare,1,1
6524,44,Other,France,1.7,163.0,7.4,Good,28.2,63,Low,2.8,None,Other,0,1
6525,48,Female,Sweden,3.3,312.8,7.5,Good,19.6,59,Low,3.9,None,Student,0,0
6526,38,Male,UK,4.2,396.5,7.8,Good,21.9,78,Low,7.2,None,Office,0,0
6527,30,Female,Brazil,2.3,218.9,7.3,Good,26.4,84,Low,5.2,None,Other,0,0
6528,34,Female,Belgium,3.6,338.9,6.3,Good,25.2,65,Low,0.1,None,Student,0,1
6529,35,Male,India,0.4,36.7,5.2,Fair,18.7,78,Medium,5.0,Mild,Other,0,1
6530,25,Male,Canada,1.2,114.9,8.3,Excellent,17.0,87,Low,3.9,None,Office,0,0
6531,41,Female,Mexico,3.9,365.9,6.7,Good,21.3,70,Low,7.6,None,Healthcare,0,1
6532,40,Male,Belgium,1.5,146.4,5.7,Fair,25.0,57,Medium,1.7,Mild,Student,0,0
6533,53,Male,Germany,1.3,119.7,7.1,Good,25.2,84,Low,10.3,Mild,Healthcare,0,0
6534,50,Male,USA,1.4,134.2,5.0,Fair,29.0,77,Medium,4.4,Mild,Office,1,0
6535,26,Female,USA,0.9,83.8,8.5,Excellent,16.4,72,Low,3.4,None,Other,1,0
6536,44,Male,Mexico,4.0,380.7,5.9,Fair,25.9,79,Medium,4.6,Mild,Service,0,1
6537,23,Male,USA,4.1,391.2,5.1,Fair,21.9,69,Medium,6.9,Mild,Office,0,0
6538,43,Female,USA,1.4,129.1,8.3,Excellent,23.4,86,Low,13.3,None,Office,0,0
6539,28,Female,Japan,0.8,79.7,5.3,Fair,26.4,69,Medium,10.3,Mild,Student,0,0
6540,22,Other,Netherlands,2.4,224.1,6.6,Good,29.7,52,Low,2.7,None,Service,0,0
6541,38,Male,India,0.7,70.8,7.0,Good,23.9,66,Low,10.1,None,Student,0,0
6542,18,Female,Japan,3.6,338.1,4.9,Poor,24.4,52,High,2.3,Mild,Student,0,1
6543,18,Male,Sweden,2.5,239.0,6.1,Good,26.4,71,Low,4.8,None,Healthcare,0,0
6544,32,Female,Finland,2.0,185.8,4.4,Poor,24.9,92,High,6.9,Mild,Office,0,0
6545,35,Female,Canada,4.0,383.1,5.9,Fair,26.9,60,Medium,9.5,Mild,Office,0,0
6546,30,Male,Sweden,1.1,103.1,4.6,Poor,32.5,65,High,7.1,Moderate,Office,0,1
6547,18,Female,Netherlands,1.9,176.7,7.8,Good,36.0,56,Low,8.8,Mild,Service,0,0
6548,25,Male,Germany,0.7,66.9,6.1,Good,23.8,69,Low,10.2,None,Healthcare,0,0
6549,39,Female,India,0.4,41.0,5.5,Fair,31.6,72,Medium,14.4,Moderate,Service,1,0
6550,41,Male,China,1.1,108.3,7.1,Good,22.4,50,Low,13.6,None,Other,0,0
6551,34,Female,Sweden,1.3,122.1,4.7,Poor,21.0,77,High,7.6,Mild,Student,1,0
6552,48,Male,Finland,1.1,109.0,5.9,Fair,15.5,68,Medium,11.1,Mild,Student,0,0
6553,39,Male,China,2.4,224.5,7.5,Good,24.8,69,Low,6.6,None,Service,0,0
6554,26,Other,Spain,2.4,223.3,5.0,Poor,23.1,60,High,14.5,Mild,Service,1,0
6555,31,Female,Mexico,0.2,16.4,6.6,Good,24.3,70,Low,1.2,None,Student,0,1
6556,18,Female,China,3.7,351.1,5.4,Fair,24.5,87,Medium,3.1,Mild,Healthcare,0,0
6557,33,Male,Mexico,0.2,21.5,4.5,Poor,24.5,78,High,3.9,Mild,Healthcare,0,0
6558,48,Male,Canada,0.0,0.0,5.6,Fair,24.8,78,Medium,4.2,Mild,Student,1,0
6559,43,Female,Sweden,4.1,385.1,5.5,Fair,15.7,58,Medium,4.1,Mild,Other,0,1
6560,51,Female,Spain,0.8,80.4,7.2,Good,19.4,94,Low,9.1,Mild,Service,0,0
6561,31,Male,Sweden,3.0,288.4,8.2,Excellent,24.7,66,Low,13.4,None,Office,0,0
6562,51,Female,Sweden,1.6,154.3,6.7,Good,18.0,76,Low,1.0,Mild,Other,1,0
6563,32,Male,Mexico,1.0,94.3,7.0,Good,26.3,71,Low,12.5,None,Healthcare,0,0
6564,52,Male,South Korea,0.7,68.5,7.8,Good,22.1,71,Low,4.5,Mild,Office,1,0
6565,34,Male,Spain,3.1,291.7,7.0,Good,22.8,80,Low,8.8,None,Office,1,0
6566,43,Female,Norway,1.1,104.5,6.0,Good,25.1,81,Low,9.9,None,Other,1,1
6567,52,Female,India,4.1,393.6,5.7,Fair,27.4,56,Medium,8.4,Moderate,Other,0,0
6568,32,Male,France,0.2,20.5,7.6,Good,26.2,55,Low,1.4,None,Service,0,0
6569,37,Female,Brazil,4.6,439.1,6.9,Good,23.2,71,Low,7.3,None,Other,0,0
6570,50,Male,Japan,0.0,0.0,7.2,Good,25.8,75,Low,0.9,None,Student,0,0
6571,33,Female,South Korea,2.9,278.1,5.8,Fair,21.3,71,Medium,0.0,Mild,Healthcare,1,0
6572,19,Female,Belgium,0.7,70.0,8.8,Excellent,18.0,61,Low,3.0,None,Service,0,0
6573,60,Female,Finland,0.1,10.7,6.0,Good,17.7,78,Low,4.5,Mild,Service,0,0
6574,29,Male,Italy,2.3,223.2,6.5,Good,23.2,86,Low,10.3,None,Student,0,0
6575,36,Female,UK,3.5,333.8,8.2,Excellent,25.0,70,Low,5.8,None,Office,0,1
6576,48,Female,South Korea,2.2,209.6,6.8,Good,21.4,76,Low,7.3,None,Other,0,0
6577,27,Other,Italy,2.4,231.2,6.6,Good,20.4,55,Low,9.0,None,Office,0,0
6578,22,Other,Brazil,2.8,266.5,6.9,Good,21.5,67,Low,0.5,None,Healthcare,0,1
6579,38,Female,Italy,3.4,325.4,5.7,Fair,21.5,78,Medium,5.2,Mild,Healthcare,0,1
6580,18,Male,Germany,5.0,472.0,6.1,Good,20.4,73,Low,6.4,None,Service,0,1
6581,31,Female,Netherlands,1.4,131.4,7.7,Good,25.0,62,Low,3.9,None,Other,0,1
6582,37,Female,Switzerland,3.2,305.7,7.6,Good,24.2,68,Low,5.6,None,Office,0,0
6583,31,Female,France,1.6,155.8,8.7,Excellent,34.0,79,Low,7.4,Mild,Other,0,1
6584,18,Male,Switzerland,2.2,212.6,5.8,Fair,22.6,68,Medium,8.8,Mild,Service,0,0
6585,54,Male,Japan,3.5,334.7,8.1,Excellent,22.2,66,Low,4.4,Mild,Service,0,0
6586,36,Male,Mexico,2.8,263.3,7.3,Good,27.8,75,Low,10.5,None,Office,0,1
6587,52,Male,Switzerland,1.4,131.2,8.1,Excellent,22.9,70,Low,12.9,Mild,Other,1,0
6588,31,Male,Belgium,2.7,252.4,5.0,Fair,18.9,81,Medium,2.0,Mild,Student,0,1
6589,24,Female,France,3.0,287.8,5.6,Fair,27.2,66,Medium,4.4,Mild,Healthcare,0,0
6590,38,Male,India,3.4,327.4,6.8,Good,22.4,75,Low,5.2,None,Healthcare,0,0
6591,32,Male,USA,4.2,400.2,7.2,Good,29.2,59,Low,1.6,None,Healthcare,0,0
6592,20,Male,Netherlands,5.2,492.9,5.7,Fair,27.7,74,Medium,9.2,Mild,Service,0,1
6593,52,Male,Switzerland,2.5,237.9,6.2,Good,32.9,85,Low,3.2,Moderate,Student,0,0
6594,27,Other,Canada,0.8,80.3,5.6,Fair,21.8,50,Medium,13.6,Mild,Service,0,0
6595,18,Male,Australia,3.0,282.6,6.0,Fair,24.0,75,Medium,2.1,Mild,Office,0,0
6596,50,Male,Canada,0.5,46.8,6.5,Good,20.9,66,Low,10.9,None,Other,1,0
6597,28,Female,Australia,5.4,508.6,5.7,Fair,22.4,72,Medium,9.9,Mild,Other,0,0
6598,27,Female,India,1.7,158.1,5.7,Fair,23.4,67,Medium,7.0,Mild,Other,0,0
6599,18,Male,China,4.0,377.9,8.7,Excellent,15.6,72,Low,7.7,None,Other,0,0
6600,55,Female,UK,3.0,282.5,7.8,Good,26.7,76,Low,2.4,Mild,Service,0,0
6601,19,Female,Australia,2.9,272.3,7.4,Good,25.5,57,Low,0.4,None,Other,0,0
6602,35,Female,Australia,0.1,12.2,8.4,Excellent,34.3,75,Low,14.1,Mild,Office,0,1
6603,45,Female,South Korea,1.3,125.2,7.5,Good,25.2,86,Low,0.5,None,Student,0,0
6604,40,Other,South Korea,1.9,181.3,9.4,Excellent,17.0,68,Low,8.6,None,Service,0,0
6605,34,Male,Netherlands,1.9,184.2,5.7,Fair,26.8,65,Medium,12.2,Mild,Office,1,0
6606,18,Male,Switzerland,2.6,250.7,3.9,Poor,23.2,69,High,0.1,Mild,Office,0,0
6607,25,Male,Spain,1.5,143.3,5.7,Fair,22.3,73,Medium,5.7,Mild,Healthcare,0,1
6608,37,Male,Germany,3.2,307.3,4.3,Poor,23.5,64,High,4.6,Mild,Student,0,1
6609,25,Female,India,2.4,223.8,5.2,Fair,28.2,76,Medium,3.1,Mild,Healthcare,0,0
6610,37,Female,Spain,3.5,331.2,5.7,Fair,25.4,91,Medium,2.5,Mild,Other,0,0
6611,43,Male,Canada,0.3,25.9,6.8,Good,33.2,86,Low,5.7,Mild,Office,1,0
6612,46,Male,Switzerland,3.7,348.8,7.7,Good,22.0,81,Low,2.2,None,Healthcare,0,0
6613,20,Male,Netherlands,4.9,469.7,8.3,Excellent,25.6,81,Low,2.9,None,Office,1,0
6614,61,Female,Japan,2.3,214.8,7.0,Good,24.6,82,Low,8.2,Mild,Other,1,0
6615,44,Female,Netherlands,4.3,409.5,4.9,Poor,19.6,72,High,3.6,Mild,Other,0,0
6616,34,Female,Brazil,2.5,233.5,6.0,Good,20.9,57,Low,1.2,None,Student,0,0
6617,48,Female,France,1.9,177.9,6.4,Good,27.4,80,Low,13.0,None,Other,0,0
6618,63,Female,China,2.8,267.6,6.1,Good,22.8,56,Low,6.5,Mild,Student,1,0
6619,18,Female,Netherlands,4.9,461.1,4.7,Poor,26.5,66,High,12.5,Mild,Other,0,0
6620,32,Male,China,4.7,449.7,7.8,Good,23.8,77,Low,0.8,None,Other,0,0
6621,18,Female,Mexico,0.2,19.3,5.1,Fair,20.9,61,Medium,9.6,Mild,Student,0,1
6622,37,Female,USA,1.0,90.9,6.2,Good,21.2,89,Low,12.3,None,Healthcare,0,0
6623,39,Female,Norway,2.4,225.1,6.8,Good,19.3,66,Low,10.4,None,Service,0,0
6624,34,Other,France,1.4,136.7,7.0,Good,28.0,58,Low,12.6,None,Healthcare,0,0
6625,27,Female,Italy,3.1,292.0,6.1,Good,22.7,74,Low,1.7,None,Other,1,1
6626,18,Female,Sweden,2.3,217.8,7.0,Good,20.2,63,Low,2.6,None,Office,0,0
6627,39,Female,Sweden,1.8,172.9,5.5,Fair,21.7,66,Medium,2.4,Mild,Service,0,1
6628,52,Male,Belgium,5.5,519.3,6.1,Good,17.7,78,Low,9.5,Mild,Other,0,0
6629,27,Female,France,3.7,349.0,4.9,Poor,25.8,79,High,15.0,Mild,Student,0,0
6630,40,Female,Belgium,3.6,339.4,5.4,Fair,25.6,77,Medium,6.2,Mild,Office,0,0
6631,18,Male,Australia,1.3,122.5,8.0,Good,27.1,69,Low,13.7,None,Service,0,0
6632,40,Female,Finland,2.4,232.2,6.4,Good,22.2,57,Low,13.4,None,Service,0,0
6633,30,Female,Sweden,2.3,218.0,6.4,Good,21.5,76,Low,12.2,None,Service,0,0
6634,25,Female,Norway,2.6,250.9,6.0,Good,24.5,72,Low,7.2,None,Office,0,0
6635,25,Other,India,1.8,174.8,5.9,Fair,23.3,72,Medium,4.8,Mild,Office,0,1
6636,30,Male,Mexico,3.9,369.0,6.4,Good,19.3,65,Low,0.8,None,Student,0,0
6637,39,Female,Germany,4.5,427.2,9.0,Excellent,29.1,74,Low,7.2,None,Office,0,1
6638,19,Female,Mexico,3.6,346.6,4.8,Poor,22.2,65,High,13.1,Mild,Office,0,0
6639,30,Male,China,2.3,223.2,5.5,Fair,29.9,73,Medium,7.2,Mild,Healthcare,1,1
6640,34,Male,Germany,1.9,180.1,5.6,Fair,18.6,53,Medium,0.0,Mild,Student,0,0
6641,21,Female,UK,4.1,391.7,3.7,Poor,28.0,87,High,11.9,Mild,Student,0,0
6642,56,Female,Brazil,3.0,283.6,6.4,Good,24.0,73,Low,1.9,Mild,Service,0,0
6643,24,Female,Brazil,3.3,316.8,6.2,Good,24.5,67,Low,2.5,None,Other,0,0
6644,26,Female,Belgium,3.0,281.1,5.8,Fair,35.1,67,Medium,3.5,Moderate,Service,0,0
6645,23,Male,France,1.4,131.6,7.6,Good,21.3,83,Low,2.9,None,Student,0,1
6646,56,Male,Spain,4.8,460.3,5.7,Fair,26.4,62,Medium,10.7,Moderate,Student,0,0
6647,41,Male,Canada,6.2,587.2,5.9,Fair,28.3,67,Medium,14.1,Mild,Other,0,0
6648,23,Female,Sweden,1.9,175.9,6.9,Good,27.5,59,Low,1.8,None,Other,1,0
6649,48,Male,France,2.4,231.9,6.2,Good,23.8,72,Low,5.9,None,Other,0,0
6650,37,Other,Japan,1.9,183.3,8.7,Excellent,22.3,76,Low,9.0,None,Other,0,0
6651,38,Other,Finland,1.5,143.0,6.3,Good,24.9,73,Low,7.1,None,Service,0,1
6652,30,Other,China,3.4,322.5,7.3,Good,27.8,76,Low,5.2,None,Office,0,0
6653,26,Male,Spain,1.6,155.0,6.7,Good,27.4,81,Low,3.4,None,Service,0,0
6654,39,Female,Canada,1.1,101.4,6.8,Good,22.0,69,Low,8.3,None,Other,1,0
6655,28,Male,South Korea,3.2,301.1,7.6,Good,23.1,62,Low,7.6,None,Service,1,0
6656,56,Male,Switzerland,1.2,112.9,6.4,Good,24.0,61,Low,14.9,Mild,Service,1,0
6657,19,Male,South Korea,1.6,149.7,6.7,Good,25.9,62,Low,7.0,None,Service,1,0
6658,53,Female,Belgium,1.5,141.1,7.1,Good,26.0,82,Low,13.3,Mild,Other,0,0
6659,33,Male,India,3.2,303.4,5.8,Fair,23.0,79,Medium,14.2,Mild,Other,0,1
6660,38,Female,Brazil,2.6,248.1,7.2,Good,28.9,50,Low,4.9,None,Other,0,0
6661,44,Male,Switzerland,0.0,0.0,8.8,Excellent,21.8,72,Low,4.5,None,Healthcare,0,1
6662,27,Male,Canada,2.9,278.2,5.5,Fair,28.9,76,Medium,14.1,Mild,Office,1,0
6663,45,Male,Netherlands,1.3,119.9,6.0,Good,25.4,63,Low,8.7,None,Student,0,0
6664,18,Female,USA,4.8,456.6,5.0,Fair,28.2,68,Medium,2.9,Mild,Healthcare,0,0
6665,26,Female,Finland,0.0,0.0,9.2,Excellent,29.2,60,Low,3.8,None,Healthcare,0,0
6666,23,Female,Switzerland,3.1,291.1,7.3,Good,21.0,59,Low,0.3,None,Healthcare,1,0
6667,19,Female,Japan,3.7,348.4,4.9,Poor,20.0,66,High,4.8,Mild,Healthcare,0,1
6668,32,Female,Switzerland,0.7,65.5,5.1,Fair,30.7,86,Medium,9.3,Moderate,Service,0,0
6669,39,Female,Canada,2.1,197.8,7.4,Good,30.6,64,Low,4.7,Mild,Healthcare,0,0
6670,43,Female,UK,2.6,251.1,9.4,Excellent,25.4,68,Low,3.4,None,Office,0,0
6671,37,Female,Norway,2.3,216.1,6.6,Good,24.1,62,Low,0.9,None,Other,0,0
6672,27,Male,Sweden,3.2,306.9,4.7,Poor,18.1,52,High,12.7,Mild,Student,0,1
6673,39,Female,Sweden,2.7,260.0,4.6,Poor,22.8,69,High,9.7,Mild,Office,0,0
6674,36,Female,Sweden,3.7,349.6,6.0,Good,22.1,81,Low,13.6,None,Healthcare,0,0
6675,46,Female,Japan,3.0,284.5,4.9,Poor,27.1,75,High,0.3,Mild,Other,0,0
6676,44,Female,Belgium,2.7,253.1,6.3,Good,25.7,66,Low,13.8,None,Healthcare,0,0
6677,35,Male,Netherlands,2.1,198.1,7.3,Good,31.0,76,Low,7.9,Mild,Student,0,1
6678,24,Female,Finland,2.9,272.7,6.9,Good,15.9,67,Low,2.0,None,Healthcare,0,0
6679,27,Male,China,5.1,486.6,6.8,Good,26.5,59,Low,3.8,None,Service,1,0
6680,28,Female,Switzerland,2.4,225.2,6.9,Good,21.5,50,Low,2.2,None,Service,0,1
6681,31,Female,Finland,0.6,56.0,7.8,Good,23.9,68,Low,3.4,None,Healthcare,0,0
6682,38,Other,Japan,4.1,393.7,6.1,Good,28.0,95,Low,3.9,None,Other,1,1
6683,43,Male,Netherlands,5.6,533.3,6.3,Good,23.2,60,Low,8.7,None,Student,1,0
6684,34,Male,Spain,3.4,319.8,8.1,Excellent,36.9,64,Low,3.9,Mild,Healthcare,0,0
6685,35,Male,Australia,5.4,517.5,7.1,Good,22.6,81,Low,7.4,None,Student,0,0
6686,36,Male,Japan,2.7,257.9,5.1,Fair,22.3,60,Medium,9.6,Mild,Healthcare,0,0
6687,28,Female,Canada,6.9,657.7,5.0,Poor,16.9,74,High,11.7,Mild,Student,0,0
6688,23,Female,France,0.3,28.2,5.4,Fair,25.5,60,Medium,13.2,Mild,Healthcare,1,0
6689,18,Female,UK,2.3,216.0,6.4,Good,24.3,55,Low,2.4,None,Service,0,0
6690,26,Female,Brazil,3.4,322.9,3.0,Poor,18.2,59,High,9.7,Mild,Healthcare,1,1
6691,40,Male,Norway,1.4,128.5,7.5,Good,22.3,70,Low,1.7,None,Service,0,0
6692,26,Male,Sweden,4.3,406.0,5.2,Fair,26.7,90,Medium,3.5,Mild,Other,1,0
6693,32,Male,Switzerland,3.3,315.4,4.4,Poor,19.2,69,High,8.6,Mild,Healthcare,0,0
6694,40,Female,USA,2.2,206.8,9.3,Excellent,20.9,80,Low,14.2,None,Student,0,1
6695,41,Female,China,3.1,298.7,5.7,Fair,24.8,63,Medium,9.1,Mild,Other,0,1
6696,22,Female,Belgium,2.8,265.9,4.5,Poor,26.3,71,High,13.1,Mild,Service,0,1
6697,46,Male,UK,3.5,330.1,5.8,Fair,29.3,58,Medium,10.1,Mild,Other,0,0
6698,48,Male,Sweden,2.2,204.3,8.6,Excellent,37.0,68,Low,11.2,Mild,Healthcare,0,1
6699,21,Female,Finland,0.0,0.0,3.0,Poor,23.2,64,High,3.3,Mild,Office,0,0
6700,25,Male,Spain,3.8,360.6,7.6,Good,16.6,83,Low,7.3,None,Healthcare,0,0
6701,49,Female,France,2.4,228.2,4.5,Poor,17.2,68,High,12.1,Mild,Service,0,0
6702,33,Male,Germany,1.3,125.5,7.4,Good,36.5,69,Low,9.9,Mild,Other,0,1
6703,18,Male,France,1.9,184.1,5.4,Fair,23.3,82,Medium,0.5,Mild,Office,1,0
6704,18,Female,Canada,2.2,209.5,6.7,Good,30.7,77,Low,10.0,Mild,Student,1,0
6705,32,Male,Germany,0.3,25.6,6.4,Good,27.2,77,Low,2.9,None,Other,1,0
6706,21,Female,UK,1.2,110.9,7.2,Good,18.6,56,Low,14.0,None,Other,0,0
6707,30,Female,USA,2.3,221.1,7.3,Good,21.0,83,Low,13.9,None,Healthcare,0,0
6708,35,Female,Italy,2.2,213.2,7.3,Good,33.1,85,Low,12.7,Mild,Student,0,1
6709,52,Female,Switzerland,1.1,104.5,6.0,Fair,21.4,80,Medium,2.9,Moderate,Office,0,0
6710,31,Female,Australia,0.6,53.9,7.2,Good,25.6,77,Low,1.7,None,Other,1,0
6711,47,Male,Finland,1.2,115.9,7.9,Good,24.1,74,Low,13.4,None,Healthcare,0,0
6712,52,Female,Finland,2.9,279.8,6.3,Good,15.0,86,Low,7.2,Mild,Healthcare,1,0
6713,52,Female,Brazil,1.5,145.4,7.0,Good,32.6,70,Low,13.2,Moderate,Office,0,0
6714,38,Male,Norway,3.8,361.8,5.1,Fair,18.5,81,Medium,12.8,Mild,Student,0,1
6715,18,Female,Brazil,4.2,403.1,6.7,Good,24.0,79,Low,12.9,None,Student,0,0
6716,40,Female,Switzerland,5.1,486.0,5.5,Fair,20.2,76,Medium,3.5,Mild,Healthcare,0,0
6717,47,Female,Netherlands,3.4,326.5,6.2,Good,28.0,82,Low,9.9,None,Student,1,0
6718,34,Female,Norway,3.1,297.7,6.5,Good,24.6,72,Low,14.1,None,Student,0,1
6719,55,Male,Norway,4.6,433.8,6.6,Good,29.9,81,Low,5.0,Mild,Healthcare,0,0
6720,45,Female,Sweden,0.7,63.9,6.4,Good,32.9,78,Low,9.9,Mild,Other,0,0
6721,41,Male,Italy,3.4,326.8,8.5,Excellent,28.4,69,Low,5.5,None,Other,0,0
6722,48,Male,Norway,3.9,372.8,5.3,Fair,26.1,77,Medium,4.0,Mild,Student,0,0
6723,39,Female,Belgium,2.5,236.0,4.7,Poor,21.5,55,High,12.2,Mild,Healthcare,0,0
6724,18,Female,Sweden,3.7,354.7,4.9,Poor,22.2,78,High,2.8,Mild,Other,0,0
6725,29,Male,Spain,2.0,189.9,5.5,Fair,27.5,50,Medium,1.6,Mild,Other,0,1
6726,49,Female,Sweden,2.6,243.1,6.6,Good,24.1,84,Low,4.1,None,Healthcare,0,0
6727,25,Other,Mexico,3.0,289.7,8.7,Excellent,30.3,57,Low,6.7,Mild,Office,0,0
6728,32,Female,Japan,3.0,285.5,7.0,Good,30.3,69,Low,12.0,Mild,Student,0,1
6729,22,Female,Sweden,0.4,39.5,6.6,Good,25.4,82,Low,3.5,None,Student,1,0
6730,56,Female,Belgium,1.7,164.3,5.9,Fair,20.8,76,Medium,13.6,Moderate,Other,0,0
6731,55,Male,Italy,2.6,243.5,8.0,Excellent,23.3,65,Low,8.2,Mild,Healthcare,0,0
6732,24,Male,Norway,3.1,293.4,5.2,Fair,27.8,67,Medium,10.7,Mild,Service,1,0
6733,36,Female,Canada,3.5,333.4,4.6,Poor,19.4,80,High,3.8,Mild,Service,1,0
6734,26,Female,China,2.5,241.0,5.5,Fair,28.1,63,Medium,12.6,Mild,Healthcare,1,0
6735,42,Female,China,4.2,395.4,5.7,Fair,20.8,73,Medium,0.5,Mild,Healthcare,0,0
6736,41,Female,Finland,2.1,195.8,7.4,Good,21.6,64,Low,3.2,None,Office,1,1
6737,44,Female,India,3.8,359.6,7.4,Good,21.1,76,Low,11.7,None,Service,0,1
6738,38,Male,Switzerland,2.3,216.1,7.3,Good,19.2,76,Low,1.0,None,Healthcare,0,1
6739,70,Male,Germany,1.1,106.8,4.1,Poor,29.8,66,High,8.9,Moderate,Healthcare,0,0
6740,22,Male,China,6.4,610.6,6.0,Good,25.4,64,Low,10.8,None,Student,0,0
6741,18,Female,South Korea,3.2,308.6,6.6,Good,20.7,66,Low,8.6,None,Service,0,0
6742,30,Male,Italy,0.0,0.0,7.5,Good,21.9,57,Low,1.5,None,Healthcare,0,0
6743,18,Female,Norway,3.9,366.3,4.6,Poor,29.7,58,High,9.0,Mild,Service,0,1
6744,18,Male,Italy,2.7,260.9,6.1,Good,23.0,80,Low,9.2,None,Healthcare,0,0
6745,22,Female,Japan,3.8,361.1,5.9,Fair,27.1,75,Medium,7.3,Mild,Service,0,0
6746,23,Male,Australia,3.3,314.7,7.6,Good,23.2,64,Low,5.5,None,Office,1,0
6747,23,Female,South Korea,1.4,128.7,6.8,Good,27.3,84,Low,3.7,None,Office,0,0
6748,41,Male,Spain,3.9,368.6,5.6,Fair,20.8,77,Medium,1.2,Mild,Office,0,0
6749,28,Male,South Korea,1.5,143.1,4.6,Poor,20.1,75,High,0.5,Mild,Other,1,0
6750,32,Female,Netherlands,1.3,122.5,5.2,Fair,23.7,81,Medium,11.9,Mild,Healthcare,1,0
6751,45,Male,South Korea,2.0,189.8,7.4,Good,26.9,80,Low,7.9,None,Student,0,0
6752,25,Female,South Korea,0.9,89.6,4.2,Poor,22.3,77,High,2.2,Mild,Other,0,0
6753,31,Female,France,3.3,308.9,4.1,Poor,23.2,70,High,1.4,Mild,Service,0,1
6754,39,Female,USA,5.6,534.7,7.1,Good,24.7,72,Low,1.4,None,Healthcare,0,0
6755,18,Female,China,0.8,80.2,7.6,Good,21.8,52,Low,2.2,None,Healthcare,0,0
6756,18,Male,France,4.6,433.4,4.7,Poor,21.3,75,High,0.4,Mild,Other,0,0
6757,39,Female,Brazil,1.6,152.2,6.4,Good,24.8,76,Low,11.5,None,Healthcare,0,0
6758,40,Male,Netherlands,1.6,152.9,8.5,Excellent,29.3,70,Low,5.5,None,Healthcare,0,0
6759,59,Male,Finland,0.8,74.8,6.9,Good,21.2,50,Low,4.3,Mild,Service,0,1
6760,36,Male,UK,3.0,286.4,7.0,Good,22.9,50,Low,6.9,None,Student,0,1
6761,44,Male,USA,0.5,48.9,8.7,Excellent,25.8,50,Low,4.7,None,Service,0,0
6762,32,Female,Germany,1.8,170.0,8.9,Excellent,24.9,55,Low,10.5,None,Other,0,1
6763,38,Female,UK,4.2,395.5,6.4,Good,29.6,73,Low,4.5,None,Healthcare,0,0
6764,55,Male,UK,4.8,460.3,8.0,Good,23.9,72,Low,9.3,Mild,Healthcare,0,0
6765,18,Male,Finland,1.1,102.1,7.9,Good,18.6,70,Low,5.6,None,Student,0,0
6766,39,Male,Italy,2.0,194.1,6.1,Good,19.3,67,Low,6.1,None,Student,0,1
6767,60,Male,UK,2.3,217.3,7.1,Good,29.1,62,Low,11.7,Mild,Office,0,0
6768,38,Female,Norway,0.3,27.8,4.8,Poor,19.1,64,High,7.8,Mild,Student,0,1
6769,54,Male,Spain,1.6,155.7,7.4,Good,23.4,68,Low,6.1,Mild,Service,0,1
6770,27,Male,Italy,1.5,147.1,6.1,Good,19.7,77,Low,4.9,None,Healthcare,0,0
6771,34,Female,Switzerland,3.2,307.1,5.5,Fair,24.1,79,Medium,9.8,Mild,Service,0,1
6772,35,Female,Switzerland,2.9,272.5,7.8,Good,25.1,72,Low,9.4,None,Service,0,0
6773,18,Female,Brazil,2.7,255.2,5.3,Fair,25.3,52,Medium,1.2,Mild,Service,1,1
6774,20,Female,Switzerland,2.2,207.4,7.1,Good,23.6,69,Low,10.1,None,Service,0,0
6775,21,Male,India,4.5,424.4,7.4,Good,18.5,74,Low,6.8,None,Service,1,0
6776,44,Male,UK,2.5,234.4,6.1,Good,21.8,62,Low,14.6,None,Service,0,0
6777,45,Male,UK,4.0,379.1,6.6,Good,21.6,91,Low,7.0,None,Healthcare,1,0
6778,38,Male,USA,3.4,321.5,5.5,Fair,28.0,65,Medium,14.2,Mild,Service,1,0
6779,44,Female,Mexico,2.7,259.3,5.4,Fair,21.7,67,Medium,12.1,Mild,Other,0,0
6780,33,Female,Finland,3.8,364.2,6.1,Good,16.4,68,Low,14.5,None,Service,0,0
6781,49,Male,France,2.0,193.6,10.0,Excellent,27.4,58,Low,3.1,None,Office,0,0
6782,35,Male,Belgium,1.2,110.0,9.0,Excellent,25.9,52,Low,5.0,None,Service,0,1
6783,35,Male,India,2.5,233.3,6.0,Fair,21.5,65,Medium,8.8,Mild,Office,1,0
6784,31,Female,Sweden,4.8,451.6,6.1,Good,19.0,50,Low,1.5,None,Healthcare,0,1
6785,43,Male,Japan,2.8,268.0,6.1,Good,22.2,73,Low,10.7,None,Other,0,0
6786,29,Male,USA,1.7,165.6,5.2,Fair,24.0,66,Medium,4.0,Mild,Healthcare,0,0
6787,46,Female,Mexico,1.3,121.9,5.9,Fair,26.4,64,Medium,2.2,Mild,Healthcare,0,1
6788,21,Male,South Korea,0.2,20.6,6.4,Good,31.1,74,Low,0.9,Mild,Service,1,0
6789,21,Male,South Korea,1.3,120.6,3.8,Poor,25.2,63,High,6.2,Mild,Office,0,0
6790,43,Male,Norway,3.0,280.3,6.2,Good,26.7,62,Low,1.9,None,Other,0,0
6791,33,Male,Australia,2.1,203.7,7.5,Good,17.6,53,Low,7.5,None,Service,0,0
6792,29,Male,Spain,2.8,269.2,8.9,Excellent,19.6,56,Low,6.1,None,Office,0,1
6793,45,Male,South Korea,1.1,107.5,7.5,Good,28.4,80,Low,13.1,None,Service,0,0
6794,27,Female,Japan,4.0,383.8,5.3,Fair,18.8,64,Medium,1.1,Mild,Healthcare,1,0
6795,32,Female,Italy,3.6,344.7,5.3,Fair,21.0,70,Medium,12.9,Mild,Office,1,0
6796,51,Female,Belgium,1.7,157.4,6.6,Good,25.5,65,Low,10.7,Mild,Student,0,0
6797,53,Female,Spain,0.4,36.3,7.0,Good,25.5,76,Low,9.7,Mild,Service,0,0
6798,53,Male,France,2.9,273.2,6.4,Good,20.3,62,Low,14.6,Mild,Healthcare,0,0
6799,31,Female,Sweden,0.0,0.0,8.4,Excellent,30.2,59,Low,0.7,Mild,Office,0,0
6800,49,Male,Norway,0.5,50.1,7.4,Good,19.5,53,Low,7.4,None,Healthcare,0,0
6801,23,Male,Australia,1.9,180.0,7.3,Good,25.2,72,Low,10.9,None,Service,1,0
6802,24,Male,Belgium,1.2,111.9,7.2,Good,31.0,77,Low,8.0,Mild,Service,0,0
6803,18,Male,Netherlands,4.4,422.0,5.5,Fair,25.4,77,Medium,4.8,Mild,Service,0,0
6804,55,Female,UK,2.0,190.6,4.7,Poor,17.5,80,High,0.4,Moderate,Other,0,1
6805,24,Male,Belgium,3.2,307.0,6.4,Good,27.7,72,Low,9.8,None,Other,0,1
6806,33,Male,Italy,0.0,0.0,6.2,Good,23.3,75,Low,13.0,None,Service,0,0
6807,24,Male,France,0.0,0.0,7.8,Good,26.8,78,Low,10.8,None,Other,0,0
6808,43,Male,India,1.5,141.2,6.1,Good,29.7,60,Low,0.8,None,Healthcare,0,0
6809,30,Male,Germany,2.8,267.9,8.0,Good,17.6,82,Low,10.5,None,Office,0,0
6810,19,Male,Belgium,0.6,56.5,7.7,Good,25.8,74,Low,11.1,None,Other,0,1
6811,40,Male,Canada,3.0,289.2,8.5,Excellent,28.9,81,Low,9.9,None,Other,0,0
6812,18,Female,Canada,4.5,429.6,8.2,Excellent,25.4,79,Low,8.8,None,Other,1,0
6813,24,Male,South Korea,1.3,125.1,7.7,Good,30.0,54,Low,10.5,Mild,Other,0,0
6814,18,Male,USA,2.5,235.9,5.3,Fair,24.8,78,Medium,8.6,Mild,Student,0,0
6815,18,Female,Spain,2.1,198.4,6.2,Good,30.8,73,Low,7.2,Mild,Office,0,1
6816,37,Other,Finland,1.9,177.1,5.9,Fair,17.5,66,Medium,8.0,Mild,Healthcare,0,1
6817,18,Male,Brazil,3.0,282.9,6.7,Good,27.6,76,Low,1.1,None,Other,0,0
6818,18,Male,Norway,2.5,238.7,7.2,Good,15.0,77,Low,7.9,None,Student,0,0
6819,34,Female,Switzerland,2.2,211.5,6.3,Good,25.4,85,Low,10.6,None,Service,0,1
6820,28,Male,Canada,2.7,257.7,7.3,Good,19.4,88,Low,7.4,None,Service,0,1
6821,58,Female,France,3.8,360.4,5.6,Fair,27.3,77,Medium,8.4,Moderate,Student,1,0
6822,57,Male,Japan,3.4,323.5,3.7,Poor,22.4,76,High,11.5,Moderate,Healthcare,1,1
6823,24,Female,Germany,0.0,0.0,7.3,Good,24.4,77,Low,2.1,None,Student,0,0
6824,41,Other,Brazil,1.2,111.3,6.5,Good,21.5,65,Low,11.2,None,Service,0,0
6825,43,Female,Sweden,3.4,320.8,6.6,Good,31.3,81,Low,5.6,Mild,Other,0,1
6826,27,Male,Sweden,6.4,605.4,7.0,Good,23.2,67,Low,11.8,None,Service,0,1
6827,18,Male,Spain,1.5,144.2,6.5,Good,20.6,68,Low,3.3,None,Office,0,1
6828,34,Male,China,0.3,24.0,5.5,Fair,18.1,64,Medium,11.9,Mild,Office,0,1
6829,32,Female,USA,5.9,562.2,5.4,Fair,20.4,65,Medium,11.9,Mild,Service,0,0
6830,29,Female,Netherlands,4.4,418.0,8.0,Excellent,19.9,81,Low,4.8,None,Service,0,0
6831,40,Male,South Korea,4.3,408.7,6.9,Good,24.0,73,Low,11.9,None,Other,0,0
6832,25,Female,South Korea,2.7,253.2,8.0,Good,22.9,75,Low,1.9,None,Other,0,0
6833,21,Male,Sweden,2.4,230.3,6.1,Good,15.3,76,Low,12.1,None,Office,1,0
6834,36,Male,USA,2.3,217.2,7.5,Good,22.4,60,Low,2.2,None,Healthcare,0,0
6835,39,Female,China,3.6,345.9,7.6,Good,15.0,58,Low,14.8,None,Service,0,0
6836,20,Male,Finland,4.4,415.9,4.5,Poor,27.4,89,High,8.8,Mild,Other,0,0
6837,46,Male,Japan,2.7,260.7,6.9,Good,23.2,63,Low,11.7,None,Service,0,0
6838,18,Male,Germany,3.7,347.9,6.7,Good,18.7,75,Low,8.5,None,Office,0,0
6839,28,Female,Australia,4.6,435.9,4.9,Poor,23.0,70,High,8.7,Mild,Other,0,0
6840,31,Female,India,3.9,371.2,5.0,Fair,27.9,71,Medium,7.2,Mild,Student,1,0
6841,27,Female,Sweden,3.4,320.5,8.9,Excellent,23.0,78,Low,2.1,None,Office,0,0
6842,28,Female,Canada,1.4,134.6,7.0,Good,24.3,61,Low,4.1,None,Service,0,1
6843,57,Female,Finland,1.5,144.8,8.3,Excellent,27.4,67,Low,14.0,Mild,Other,0,0
6844,24,Male,USA,0.0,0.0,7.9,Good,21.7,82,Low,5.6,None,Office,0,1
6845,64,Other,South Korea,3.1,292.5,6.6,Good,20.4,71,Low,0.8,Mild,Service,0,1
6846,40,Female,Japan,2.7,253.6,5.4,Fair,20.5,84,Medium,12.0,Mild,Healthcare,0,1
6847,36,Female,Sweden,4.4,418.9,7.1,Good,27.3,78,Low,10.7,None,Other,1,1
6848,40,Female,India,3.2,302.6,6.5,Good,24.8,79,Low,4.6,None,Healthcare,0,1
6849,65,Female,USA,2.0,191.3,6.9,Good,26.1,74,Low,5.6,Mild,Office,0,0
6850,23,Male,India,1.8,168.4,7.1,Good,18.9,99,Low,7.4,None,Other,1,1
6851,21,Male,Germany,3.0,286.7,7.0,Good,30.7,64,Low,2.1,Mild,Service,1,0
6852,25,Female,USA,2.9,273.5,7.2,Good,28.2,55,Low,14.9,None,Healthcare,0,0
6853,35,Female,Canada,5.2,497.3,5.1,Fair,19.8,64,Medium,5.7,Mild,Office,0,1
6854,18,Female,Switzerland,2.3,222.0,7.5,Good,26.1,68,Low,12.9,None,Service,0,0
6855,35,Male,Japan,3.2,306.8,7.4,Good,20.3,97,Low,12.4,None,Service,0,0
6856,55,Male,Netherlands,5.0,470.5,6.5,Good,17.7,80,Low,4.0,Mild,Service,0,0
6857,36,Female,Brazil,2.3,216.6,7.4,Good,25.6,82,Low,1.2,None,Service,1,0
6858,31,Female,Spain,2.0,190.4,8.4,Excellent,24.9,50,Low,6.7,None,Healthcare,1,0
6859,27,Female,Canada,0.5,47.4,7.9,Good,26.3,65,Low,3.3,None,Service,0,0
6860,45,Male,Netherlands,2.0,186.1,5.3,Fair,27.7,77,Medium,5.7,Mild,Student,0,0
6861,25,Female,India,3.1,291.3,5.9,Fair,27.2,73,Medium,13.8,Mild,Other,0,0
6862,57,Female,Spain,4.6,433.3,6.1,Good,24.4,56,Low,8.8,Mild,Service,0,0
6863,58,Female,USA,0.4,41.7,6.2,Good,23.7,74,Low,6.3,Mild,Service,0,0
6864,38,Male,Mexico,1.2,109.6,5.2,Fair,29.3,63,Medium,8.9,Mild,Student,0,1
6865,34,Male,Brazil,0.0,0.0,8.1,Excellent,22.6,73,Low,1.6,None,Other,0,1
6866,47,Female,Japan,5.2,494.4,5.3,Fair,28.3,59,Medium,11.4,Mild,Service,0,0
6867,48,Male,South Korea,2.7,260.5,8.1,Excellent,16.1,70,Low,8.5,None,Service,0,0
6868,25,Female,Brazil,1.8,175.7,4.8,Poor,21.7,83,High,14.5,Mild,Service,0,1
6869,28,Male,Mexico,0.0,0.0,7.9,Good,23.8,66,Low,5.9,None,Student,1,0
6870,19,Female,Belgium,2.5,237.2,7.7,Good,26.5,85,Low,2.8,None,Other,1,0
6871,39,Male,UK,1.9,179.9,7.0,Good,27.2,59,Low,2.7,None,Office,1,0
6872,42,Male,South Korea,0.0,0.0,6.7,Good,28.2,65,Low,12.9,None,Other,0,1
6873,18,Female,USA,2.1,196.5,6.7,Good,24.9,75,Low,6.9,None,Student,1,0
6874,29,Female,China,4.3,412.1,6.4,Good,23.4,65,Low,4.4,None,Other,0,0
6875,18,Male,France,2.1,200.4,7.2,Good,28.6,67,Low,11.8,None,Service,0,0
6876,24,Male,Canada,4.3,405.2,6.1,Good,24.6,60,Low,11.1,None,Student,0,1
6877,41,Other,Switzerland,4.8,459.3,6.2,Good,29.1,55,Low,13.7,None,Student,0,0
6878,26,Male,Sweden,2.1,199.3,7.1,Good,26.1,74,Low,13.0,None,Other,1,1
6879,31,Female,Canada,2.4,224.8,6.7,Good,24.1,67,Low,1.5,None,Other,0,0
6880,18,Male,Sweden,3.3,309.0,5.4,Fair,27.6,83,Medium,2.6,Mild,Healthcare,1,0
6881,37,Female,Switzerland,4.0,383.2,5.5,Fair,25.1,60,Medium,6.9,Mild,Other,0,0
6882,34,Female,Germany,4.6,440.2,6.2,Good,25.0,67,Low,13.4,None,Other,0,0
6883,26,Female,South Korea,4.8,453.9,4.2,Poor,20.7,65,High,11.2,Mild,Service,0,0
6884,32,Male,Germany,1.4,133.0,6.6,Good,23.3,61,Low,2.0,None,Office,0,0
6885,37,Female,South Korea,4.7,444.8,6.5,Good,22.0,85,Low,2.8,None,Office,0,1
6886,25,Male,Canada,3.3,310.8,6.4,Good,25.0,61,Low,7.0,None,Office,0,1
6887,18,Female,Spain,1.7,163.1,7.3,Good,24.8,70,Low,10.3,None,Other,0,0
6888,56,Female,Belgium,0.8,74.5,7.1,Good,23.3,72,Low,2.9,Mild,Office,0,0
6889,27,Female,Sweden,1.3,123.7,7.8,Good,23.5,60,Low,1.3,None,Healthcare,0,0
6890,33,Male,Canada,3.0,289.4,6.7,Good,25.8,79,Low,0.3,None,Student,0,0
6891,47,Female,Australia,1.8,167.5,9.1,Excellent,17.0,59,Low,2.0,None,Healthcare,1,0
6892,77,Male,Canada,3.0,289.2,6.6,Good,18.2,82,Low,6.1,Mild,Healthcare,0,0
6893,20,Male,Netherlands,0.8,76.9,7.8,Good,23.3,63,Low,13.0,None,Office,0,1
6894,40,Male,Mexico,1.4,130.1,6.6,Good,28.9,74,Low,0.6,None,Office,0,0
6895,26,Male,Spain,2.4,224.7,6.7,Good,29.7,92,Low,10.2,None,Healthcare,0,1
6896,28,Male,UK,2.2,213.0,5.5,Fair,18.1,81,Medium,2.0,Mild,Healthcare,0,0
6897,26,Male,Italy,0.6,55.5,6.8,Good,36.6,57,Low,7.4,Mild,Healthcare,0,0
6898,21,Female,Japan,1.6,147.9,5.8,Fair,20.4,50,Medium,4.3,Mild,Healthcare,0,1
6899,34,Male,Canada,0.0,0.0,8.4,Excellent,20.0,83,Low,12.6,None,Healthcare,0,0
6900,18,Female,Finland,2.6,246.9,6.8,Good,15.0,73,Low,10.0,None,Other,1,1
6901,46,Male,Italy,4.8,455.2,7.0,Good,21.4,87,Low,4.5,None,Healthcare,1,0
6902,35,Female,Mexico,1.4,128.3,4.7,Poor,22.6,79,High,7.5,Mild,Student,0,0
6903,40,Male,Sweden,1.1,101.6,4.9,Poor,30.2,70,High,11.4,Moderate,Office,1,0
6904,29,Female,Finland,4.0,377.5,6.0,Good,27.3,84,Low,13.0,None,Student,0,0
6905,30,Female,Germany,0.7,70.7,5.2,Fair,28.4,66,Medium,9.3,Mild,Service,0,0
6906,38,Male,UK,4.0,380.8,3.0,Poor,31.6,89,High,9.2,Moderate,Office,0,1
6907,21,Female,Italy,0.7,66.2,7.9,Good,32.9,65,Low,1.5,Mild,Student,1,0
6908,30,Male,South Korea,2.0,186.8,7.1,Good,31.9,66,Low,7.8,Mild,Healthcare,0,1
6909,24,Female,Sweden,2.1,203.1,5.7,Fair,25.5,76,Medium,12.2,Mild,Healthcare,0,1
6910,24,Male,UK,3.6,337.9,6.6,Good,22.4,68,Low,10.2,None,Office,0,1
6911,18,Male,Norway,5.3,504.3,8.4,Excellent,28.1,80,Low,0.7,None,Other,0,1
6912,51,Male,India,2.0,188.1,5.6,Fair,21.0,68,Medium,10.5,Moderate,Healthcare,1,0
6913,26,Female,USA,2.5,234.9,7.7,Good,26.4,75,Low,6.0,None,Student,0,0
6914,48,Female,Italy,0.0,0.0,6.5,Good,23.2,82,Low,10.3,None,Office,0,0
6915,47,Female,India,2.4,231.7,5.9,Fair,21.8,72,Medium,12.2,Mild,Other,0,0
6916,19,Female,Japan,4.2,402.1,4.9,Poor,17.3,69,High,2.6,Mild,Healthcare,0,0
6917,21,Male,Switzerland,6.0,574.2,6.3,Good,25.8,70,Low,13.1,None,Other,0,1
6918,65,Female,Sweden,2.0,186.3,7.7,Good,20.2,78,Low,2.9,Mild,Student,0,1
6919,56,Female,Brazil,3.6,339.6,6.8,Good,26.5,83,Low,4.3,Mild,Office,0,1
6920,34,Female,Italy,4.2,402.4,6.1,Good,23.5,54,Low,10.2,None,Healthcare,0,1
6921,38,Female,Belgium,0.3,32.5,6.2,Good,23.9,76,Low,10.9,None,Other,0,0
6922,27,Female,Canada,4.6,439.6,8.4,Excellent,23.4,61,Low,6.4,None,Office,1,1
6923,40,Female,Sweden,1.3,122.5,6.1,Good,18.4,65,Low,1.7,None,Student,0,1
6924,26,Male,India,2.9,275.2,5.9,Fair,21.2,71,Medium,13.8,Mild,Office,0,0
6925,18,Male,Norway,0.6,57.5,5.0,Fair,20.6,70,Medium,5.2,Mild,Healthcare,1,0
6926,19,Male,Australia,2.0,185.3,8.8,Excellent,20.5,69,Low,14.5,None,Service,0,0
6927,35,Male,Belgium,0.0,0.0,5.0,Poor,20.4,73,High,12.7,Mild,Office,0,1
6928,21,Male,France,2.9,275.5,7.7,Good,20.1,65,Low,4.4,None,Healthcare,0,0
6929,34,Other,Brazil,4.8,456.2,7.0,Good,20.8,77,Low,11.2,None,Other,0,0
6930,22,Male,China,2.5,242.2,6.0,Good,21.1,69,Low,4.1,None,Office,0,0
6931,25,Female,Brazil,0.3,32.0,7.2,Good,26.2,73,Low,0.4,None,Office,0,1
6932,45,Female,Japan,2.0,189.3,7.3,Good,24.7,66,Low,3.9,None,Service,0,1
6933,37,Male,Brazil,2.8,267.9,9.3,Excellent,20.2,62,Low,2.4,None,Service,1,0
6934,34,Male,Spain,2.3,216.7,8.8,Excellent,22.4,60,Low,4.6,None,Service,0,1
6935,45,Female,Canada,3.5,334.2,7.4,Good,16.6,68,Low,7.2,None,Service,0,1
6936,40,Female,Sweden,5.5,524.7,6.5,Good,24.6,62,Low,2.3,None,Healthcare,0,0
6937,52,Other,Mexico,2.4,229.1,7.4,Good,23.0,80,Low,1.5,Mild,Service,0,0
6938,29,Male,India,2.3,218.9,6.9,Good,20.3,75,Low,7.6,None,Service,0,0
6939,29,Female,Netherlands,1.4,134.7,7.2,Good,32.4,59,Low,5.2,Mild,Student,0,0
6940,19,Male,Switzerland,4.0,384.3,5.6,Fair,23.0,54,Medium,6.7,Mild,Service,0,1
6941,29,Female,Finland,5.4,509.8,6.1,Good,25.8,80,Low,14.9,None,Healthcare,1,0
6942,46,Female,USA,2.2,210.4,7.6,Good,22.6,77,Low,5.3,None,Healthcare,0,1
6943,50,Male,UK,2.9,273.8,6.6,Good,19.4,58,Low,9.1,None,Healthcare,0,0
6944,46,Male,Canada,2.7,260.7,7.2,Good,24.7,65,Low,7.3,None,Other,0,1
6945,18,Male,Netherlands,1.3,128.0,6.2,Good,22.0,77,Low,11.1,None,Other,0,0
6946,47,Male,South Korea,3.6,341.9,6.4,Good,26.8,50,Low,14.8,None,Student,1,1
6947,18,Female,China,2.4,231.7,5.2,Fair,22.8,60,Medium,7.9,Mild,Other,0,0
6948,45,Male,Belgium,2.8,269.9,7.5,Good,23.0,65,Low,5.3,None,Student,1,0
6949,30,Female,Netherlands,3.9,375.1,4.3,Poor,28.1,79,High,2.4,Mild,Other,0,1
6950,43,Male,South Korea,2.0,190.9,7.3,Good,24.6,68,Low,12.2,None,Office,0,0
6951,19,Female,Brazil,2.6,250.9,5.0,Poor,24.7,79,High,1.1,Mild,Student,0,1
6952,49,Female,France,1.4,134.1,5.7,Fair,25.0,63,Medium,8.7,Mild,Other,0,0
6953,18,Female,Norway,0.9,81.9,5.7,Fair,27.6,74,Medium,11.5,Mild,Office,1,1
6954,26,Female,Belgium,2.7,254.8,7.6,Good,33.9,73,Low,2.9,Mild,Student,0,1
6955,23,Male,Norway,2.8,267.1,5.1,Fair,22.2,63,Medium,7.2,Mild,Student,0,0
6956,18,Female,UK,3.9,369.0,6.2,Good,23.5,67,Low,6.0,None,Office,1,0
6957,36,Male,USA,1.4,128.7,6.3,Good,21.2,74,Low,3.2,None,Student,1,0
6958,56,Male,Italy,0.9,87.9,6.6,Good,22.8,70,Low,13.2,Mild,Office,0,0
6959,67,Male,China,5.2,490.8,7.1,Good,25.4,76,Low,8.0,Mild,Office,1,1
6960,36,Female,Mexico,2.7,256.2,6.4,Good,26.0,79,Low,12.8,None,Student,1,0
6961,48,Female,Australia,0.4,41.3,6.8,Good,28.5,67,Low,12.8,None,Student,0,0
6962,37,Female,Finland,2.4,229.6,5.5,Fair,22.5,50,Medium,14.7,Mild,Service,1,1
6963,40,Male,South Korea,1.5,143.9,5.6,Fair,25.5,59,Medium,13.8,Mild,Service,1,1
6964,30,Male,Australia,3.0,288.5,4.9,Poor,20.4,56,High,11.0,Mild,Healthcare,0,1
6965,37,Female,India,1.9,178.0,6.3,Good,20.8,56,Low,10.1,None,Healthcare,0,1
6966,41,Female,China,4.4,413.8,8.1,Excellent,27.6,70,Low,2.5,None,Office,0,0
6967,28,Male,Australia,0.6,52.3,7.1,Good,22.8,74,Low,6.4,None,Student,0,0
6968,34,Female,UK,4.4,419.7,6.4,Good,21.3,59,Low,8.5,None,Office,0,1
6969,34,Male,Belgium,3.6,343.4,4.6,Poor,17.9,79,High,0.9,Mild,Service,0,0
6970,44,Male,Switzerland,3.0,283.5,7.9,Good,27.9,79,Low,2.3,None,Healthcare,0,0
6971,22,Male,India,4.1,384.9,8.3,Excellent,17.1,91,Low,9.6,None,Office,0,0
6972,34,Male,Sweden,4.3,410.7,5.3,Fair,17.8,81,Medium,2.2,Mild,Student,0,0
6973,57,Male,Japan,2.5,237.7,5.5,Fair,26.3,81,Medium,5.1,Moderate,Healthcare,0,1
6974,48,Female,Canada,4.9,469.7,8.0,Good,23.1,74,Low,0.6,None,Office,0,0
6975,51,Female,UK,3.4,325.5,7.0,Good,25.5,62,Low,2.5,Mild,Healthcare,0,0
6976,35,Male,France,1.7,159.5,8.8,Excellent,22.8,68,Low,8.3,None,Student,0,0
6977,38,Female,Netherlands,0.5,45.6,8.3,Excellent,27.5,80,Low,9.6,None,Healthcare,0,0
6978,47,Female,Belgium,4.1,390.5,4.1,Poor,28.8,70,High,1.5,Mild,Office,0,0
6979,53,Male,Belgium,2.5,237.4,8.5,Excellent,29.2,73,Low,3.6,Mild,Office,0,1
6980,18,Female,Switzerland,0.0,0.0,7.2,Good,23.1,78,Low,5.9,None,Healthcare,0,0
6981,19,Female,Japan,3.0,285.0,6.6,Good,19.5,72,Low,10.2,None,Student,0,0
6982,50,Male,USA,2.1,200.7,6.7,Good,23.9,68,Low,1.1,None,Office,0,0
6983,31,Male,Italy,1.5,142.0,6.7,Good,20.7,64,Low,6.7,None,Other,0,1
6984,26,Male,France,4.0,381.3,4.6,Poor,21.7,92,High,11.1,Mild,Healthcare,0,0
6985,19,Female,Finland,1.3,125.3,8.5,Excellent,31.6,74,Low,2.1,Mild,Service,0,0
6986,28,Male,Finland,1.8,172.9,6.1,Good,27.4,59,Low,8.2,None,Office,0,0
6987,18,Female,Sweden,2.2,206.8,6.3,Good,22.9,63,Low,6.6,None,Service,1,0
6988,60,Female,France,4.0,382.4,7.1,Good,23.6,71,Low,5.9,Mild,Service,0,0
6989,34,Male,China,0.7,70.1,9.0,Excellent,22.0,76,Low,14.0,None,Student,1,0
6990,34,Female,USA,1.6,147.3,6.7,Good,24.7,69,Low,5.9,None,Student,0,0
6991,42,Female,USA,3.1,298.1,6.8,Good,22.3,56,Low,6.7,None,Student,0,0
6992,46,Male,Netherlands,3.2,308.2,8.2,Excellent,28.3,52,Low,0.9,None,Healthcare,0,0
6993,46,Female,China,0.8,77.0,7.6,Good,24.0,52,Low,5.5,None,Service,0,1
6994,47,Male,Italy,1.9,181.4,7.3,Good,20.4,76,Low,7.9,None,Office,0,0
6995,27,Male,Mexico,2.3,220.8,3.2,Poor,29.8,72,High,0.1,Mild,Service,0,0
6996,31,Male,Belgium,2.9,278.5,6.2,Good,25.9,64,Low,0.7,None,Other,0,0
6997,44,Female,Norway,2.2,207.6,6.9,Good,25.5,91,Low,3.6,None,Service,0,0
6998,28,Female,Brazil,4.8,456.8,6.5,Good,16.6,71,Low,11.1,None,Service,0,0
6999,34,Male,Netherlands,2.4,223.5,7.7,Good,23.8,54,Low,11.8,None,Healthcare,0,1
7000,39,Male,Sweden,4.8,452.6,4.8,Poor,21.1,70,High,12.0,Mild,Office,0,0
7001,44,Male,Brazil,1.8,171.2,5.5,Fair,15.0,75,Medium,8.6,Mild,Other,0,0
7002,18,Female,India,0.1,9.4,8.2,Excellent,23.6,64,Low,12.5,None,Healthcare,1,0
7003,43,Female,Japan,6.3,595.3,7.4,Good,23.4,71,Low,2.1,None,Other,0,0
7004,32,Female,Switzerland,2.4,225.1,5.4,Fair,29.0,77,Medium,13.9,Mild,Service,0,0
7005,43,Female,Japan,3.1,290.2,6.9,Good,21.7,73,Low,12.1,None,Office,0,0
7006,44,Female,Norway,0.3,30.9,6.7,Good,20.7,76,Low,9.0,None,Service,1,0
7007,54,Male,Australia,2.9,274.8,5.8,Fair,21.3,78,Medium,8.7,Moderate,Healthcare,0,0
7008,51,Male,Sweden,3.7,354.6,5.0,Fair,25.0,56,Medium,1.7,Moderate,Office,0,1
7009,51,Female,Mexico,0.8,74.2,5.8,Fair,28.6,76,Medium,12.0,Moderate,Other,0,1
7010,52,Female,Germany,2.3,217.2,5.7,Fair,24.0,77,Medium,7.5,Moderate,Office,0,0
7011,38,Male,Germany,2.4,228.9,8.5,Excellent,21.7,73,Low,12.3,None,Office,0,0
7012,35,Female,South Korea,0.6,54.9,7.5,Good,23.3,73,Low,4.7,None,Healthcare,0,0
7013,45,Female,China,4.9,469.0,6.6,Good,26.6,63,Low,0.8,None,Healthcare,0,0
7014,43,Male,Norway,0.0,0.0,5.7,Fair,28.6,85,Medium,7.6,Mild,Service,0,1
7015,31,Female,Mexico,0.0,0.0,8.6,Excellent,28.7,75,Low,13.2,None,Office,0,0
7016,39,Female,China,2.7,252.6,8.3,Excellent,23.6,78,Low,1.3,None,Office,0,0
7017,34,Male,Norway,1.0,95.7,7.1,Good,25.8,84,Low,6.2,None,Student,0,0
7018,24,Female,Italy,3.5,334.0,6.6,Good,27.2,80,Low,12.5,None,Service,0,0
7019,50,Male,Australia,2.0,188.2,6.9,Good,23.7,79,Low,3.4,None,Student,0,0
7020,35,Male,India,3.1,294.3,7.4,Good,26.7,50,Low,3.9,None,Healthcare,0,0
7021,59,Female,Japan,0.4,42.7,5.2,Fair,27.1,50,Medium,9.3,Moderate,Other,0,0
7022,18,Male,Mexico,1.9,180.9,5.4,Fair,26.1,69,Medium,13.0,Mild,Service,0,0
7023,28,Male,South Korea,1.8,174.4,5.8,Fair,27.2,73,Medium,8.7,Mild,Office,0,0
7024,35,Male,South Korea,6.0,571.5,5.5,Fair,32.3,76,Medium,1.5,Moderate,Student,0,0
7025,48,Male,France,1.8,173.0,7.1,Good,20.7,73,Low,13.9,None,Office,0,1
7026,39,Male,Japan,0.0,0.0,8.2,Excellent,29.3,72,Low,8.0,None,Other,0,0
7027,38,Female,Spain,4.2,394.4,7.5,Good,24.8,73,Low,5.1,None,Office,1,0
7028,21,Male,Norway,2.1,202.7,4.8,Poor,23.8,63,High,11.3,Mild,Student,0,0
7029,21,Female,Japan,2.9,275.9,8.8,Excellent,21.8,57,Low,10.4,None,Service,0,0
7030,38,Female,Germany,2.0,188.3,9.4,Excellent,25.1,69,Low,4.6,None,Office,0,1
7031,18,Male,Switzerland,0.6,55.6,8.9,Excellent,21.9,63,Low,12.8,None,Student,0,1
7032,28,Female,Norway,4.5,423.7,5.5,Fair,23.4,67,Medium,1.3,Mild,Healthcare,1,0
7033,41,Female,UK,1.0,98.1,6.3,Good,18.2,53,Low,13.2,None,Office,0,0
7034,23,Male,France,0.3,26.3,5.1,Fair,24.4,68,Medium,1.5,Mild,Office,0,0
7035,54,Male,France,3.2,304.5,6.9,Good,20.4,74,Low,0.5,Mild,Other,0,1
7036,49,Female,Japan,2.7,259.7,6.9,Good,23.3,56,Low,13.0,None,Office,1,0
7037,18,Female,Switzerland,4.1,389.9,5.9,Fair,24.0,76,Medium,1.0,Mild,Student,0,1
7038,23,Male,Netherlands,2.9,277.5,5.5,Fair,20.3,57,Medium,14.9,Mild,Other,1,0
7039,18,Male,South Korea,2.4,226.8,6.9,Good,20.2,76,Low,1.2,None,Other,0,0
7040,25,Male,Canada,3.9,366.8,6.2,Good,22.2,63,Low,12.4,None,Office,1,0
7041,44,Male,Netherlands,0.0,2.7,7.5,Good,21.3,80,Low,14.5,None,Service,0,0
7042,30,Female,South Korea,2.2,211.6,8.5,Excellent,24.5,63,Low,8.6,None,Healthcare,0,0
7043,40,Male,Japan,1.1,102.6,7.6,Good,23.4,59,Low,2.5,None,Service,0,0
7044,18,Male,Brazil,2.9,273.6,6.9,Good,27.7,70,Low,2.4,None,Student,1,0
7045,44,Male,India,3.7,353.7,6.7,Good,24.3,75,Low,11.4,None,Office,0,0
7046,28,Male,Canada,2.9,277.2,5.3,Fair,25.3,80,Medium,1.0,Mild,Office,0,0
7047,35,Male,Belgium,3.6,338.5,6.4,Good,23.6,77,Low,10.3,None,Healthcare,0,0
7048,33,Male,Italy,4.4,414.1,6.7,Good,17.8,62,Low,4.3,None,Service,0,0
7049,19,Male,Japan,3.3,309.2,7.6,Good,23.5,74,Low,13.9,None,Service,0,0
7050,21,Female,Finland,3.6,343.1,7.3,Good,16.0,59,Low,8.3,None,Service,0,0
7051,46,Female,Finland,5.3,504.6,5.9,Fair,22.1,82,Medium,3.3,Mild,Service,0,0
7052,39,Male,Norway,6.5,613.7,7.7,Good,26.3,86,Low,12.7,None,Other,0,0
7053,47,Female,Germany,2.3,215.1,4.3,Poor,19.4,72,High,14.7,Mild,Healthcare,0,0
7054,38,Male,Finland,1.1,103.5,7.5,Good,15.4,67,Low,11.2,None,Student,1,0
7055,36,Female,Brazil,0.0,0.0,5.9,Fair,21.0,85,Medium,10.5,Mild,Service,0,0
7056,18,Male,Norway,5.4,511.8,8.0,Excellent,24.6,86,Low,12.9,None,Healthcare,1,0
7057,31,Male,Sweden,1.6,156.5,7.9,Good,22.2,50,Low,0.3,None,Healthcare,0,0
7058,34,Female,Finland,3.2,303.4,4.8,Poor,18.8,76,High,13.3,Mild,Office,1,1
7059,58,Male,Germany,3.5,331.6,5.3,Fair,22.0,69,Medium,3.7,Moderate,Student,0,0
7060,43,Male,Spain,3.7,352.3,4.4,Poor,26.0,56,High,8.9,Mild,Student,1,1
7061,53,Female,Finland,2.1,201.8,7.6,Good,22.7,86,Low,6.7,Mild,Student,1,1
7062,42,Female,Spain,3.7,350.7,7.0,Good,27.2,62,Low,6.5,None,Other,0,0
7063,26,Female,Switzerland,3.3,314.8,7.6,Good,21.8,80,Low,6.8,None,Service,0,0
7064,36,Male,Japan,1.5,140.9,3.6,Poor,18.0,63,High,10.3,Mild,Service,0,1
7065,37,Female,Brazil,4.9,469.3,5.3,Fair,30.7,59,Medium,10.1,Moderate,Service,0,0
7066,23,Male,Mexico,3.5,334.0,7.4,Good,25.5,72,Low,5.6,None,Healthcare,0,0
7067,30,Male,India,0.6,54.6,8.4,Excellent,29.4,53,Low,14.9,None,Other,1,0
7068,32,Female,Germany,1.9,184.5,6.3,Good,23.6,91,Low,14.5,None,Student,0,0
7069,54,Female,South Korea,1.9,181.4,7.1,Good,22.9,76,Low,2.4,Mild,Office,0,0
7070,18,Female,Australia,1.6,156.3,7.7,Good,29.7,64,Low,10.3,None,Student,0,0
7071,49,Female,Australia,3.4,324.6,8.3,Excellent,30.2,69,Low,7.7,Mild,Healthcare,1,0
7072,23,Male,Belgium,4.4,421.5,4.5,Poor,18.7,62,High,4.1,Mild,Service,0,0
7073,18,Male,South Korea,0.9,81.6,6.6,Good,21.5,72,Low,12.1,None,Office,0,0
7074,49,Male,France,2.0,186.6,4.9,Poor,20.4,56,High,3.4,Mild,Healthcare,0,0
7075,43,Female,China,4.2,400.8,6.9,Good,26.6,56,Low,10.1,None,Office,1,1
7076,50,Male,China,1.2,117.8,5.1,Fair,20.9,72,Medium,11.0,Mild,Other,0,0
7077,44,Female,Canada,1.4,135.8,6.8,Good,26.0,86,Low,6.0,None,Office,0,0
7078,59,Female,Canada,0.0,0.0,7.1,Good,27.3,60,Low,0.6,Mild,Office,0,0
7079,41,Female,Japan,3.7,347.0,5.5,Fair,31.5,64,Medium,4.8,Moderate,Healthcare,0,1
7080,33,Female,Germany,2.8,266.3,7.8,Good,19.6,66,Low,12.1,None,Office,1,0
7081,39,Female,USA,2.0,189.9,7.0,Good,28.7,64,Low,10.1,None,Healthcare,0,0
7082,49,Female,Germany,0.1,8.7,7.0,Good,23.1,66,Low,7.3,None,Service,0,0
7083,25,Female,Switzerland,2.0,188.7,5.9,Fair,31.7,74,Medium,10.7,Moderate,Healthcare,1,0
7084,27,Male,Norway,0.0,0.0,6.8,Good,28.2,66,Low,3.2,None,Service,1,0
7085,31,Male,Mexico,2.2,212.5,5.6,Fair,27.8,53,Medium,13.9,Mild,Other,0,1
7086,18,Female,Switzerland,5.4,511.2,5.8,Fair,21.0,68,Medium,12.6,Mild,Student,1,1
7087,36,Other,Switzerland,2.8,265.5,6.6,Good,23.2,74,Low,0.5,None,Service,1,0
7088,18,Male,Australia,4.3,413.1,9.5,Excellent,25.6,63,Low,10.0,None,Other,0,0
7089,35,Male,China,4.5,423.5,6.2,Good,21.8,76,Low,4.2,None,Service,0,1
7090,45,Female,UK,1.7,162.2,5.9,Fair,26.7,79,Medium,7.4,Mild,Office,0,0
7091,29,Female,China,3.4,325.6,4.9,Poor,31.2,74,High,3.0,Moderate,Student,0,0
7092,55,Male,Norway,0.0,0.0,7.8,Good,21.5,61,Low,11.0,Mild,Other,0,1
7093,18,Female,Norway,2.9,277.6,5.3,Fair,21.2,85,Medium,0.7,Mild,Other,0,0
7094,49,Female,Germany,4.1,390.8,6.8,Good,21.7,82,Low,8.3,None,Office,0,0
7095,43,Female,France,3.3,311.9,8.2,Excellent,29.9,73,Low,1.7,None,Service,0,0
7096,18,Male,South Korea,2.0,186.4,7.6,Good,23.2,66,Low,4.6,None,Other,1,1
7097,67,Male,Belgium,4.4,416.4,5.2,Fair,30.5,82,Medium,2.9,Severe,Service,0,0
7098,34,Male,Brazil,4.2,399.6,6.7,Good,27.1,74,Low,6.5,None,Service,0,0
7099,24,Male,USA,2.4,230.5,8.2,Excellent,25.8,80,Low,7.2,None,Office,0,0
7100,18,Male,Netherlands,4.7,449.9,6.7,Good,31.6,69,Low,9.9,Mild,Service,0,0
7101,32,Female,China,3.3,311.3,6.3,Good,21.0,67,Low,6.7,None,Student,0,0
7102,33,Male,Netherlands,0.1,8.1,8.1,Excellent,17.0,52,Low,10.9,None,Office,0,0
7103,36,Female,Sweden,3.0,283.1,7.2,Good,21.2,87,Low,12.1,None,Office,0,1
7104,31,Female,Norway,1.4,135.3,6.9,Good,23.2,83,Low,14.9,None,Healthcare,0,0
7105,42,Male,Belgium,3.2,308.3,7.3,Good,25.1,65,Low,1.9,None,Student,0,1
7106,30,Other,Japan,0.0,0.0,7.3,Good,27.1,71,Low,6.1,None,Other,0,0
7107,18,Female,UK,4.9,464.7,5.7,Fair,25.6,79,Medium,3.8,Mild,Service,0,0
7108,33,Female,Japan,4.2,396.6,6.6,Good,26.0,78,Low,10.9,None,Service,0,1
7109,18,Male,China,4.9,464.1,6.0,Fair,23.8,75,Medium,7.7,Mild,Office,0,1
7110,39,Female,UK,2.5,236.0,8.0,Excellent,26.5,66,Low,1.7,None,Service,0,0
7111,23,Male,France,4.2,402.3,6.0,Good,25.3,68,Low,0.9,None,Student,0,1
7112,36,Female,Australia,2.8,267.6,6.3,Good,29.2,71,Low,7.5,None,Other,0,0
7113,50,Male,UK,1.0,97.3,7.8,Good,26.2,66,Low,5.3,None,Service,0,0
7114,23,Female,France,1.3,121.9,6.5,Good,27.1,89,Low,7.9,None,Office,1,0
7115,47,Male,Italy,2.0,188.3,6.8,Good,34.6,69,Low,3.7,Mild,Student,0,1
7116,29,Male,Belgium,4.4,415.6,5.9,Fair,22.8,70,Medium,5.8,Mild,Other,0,0
7117,56,Female,Switzerland,4.3,410.8,5.4,Fair,28.0,68,Medium,14.6,Moderate,Student,1,0
7118,30,Female,Sweden,1.5,145.3,6.4,Good,24.4,59,Low,3.6,None,Student,0,0
7119,24,Male,Finland,3.6,339.8,5.7,Fair,23.0,80,Medium,0.4,Mild,Student,0,0
7120,43,Male,UK,2.5,239.8,9.9,Excellent,23.5,54,Low,13.8,None,Service,0,0
7121,29,Female,Canada,1.1,102.9,6.5,Good,27.2,73,Low,12.1,None,Student,0,0
7122,24,Female,Finland,0.7,69.1,6.3,Good,23.5,57,Low,6.8,None,Service,0,1
7123,29,Male,China,2.2,204.6,7.7,Good,17.2,75,Low,8.0,None,Student,1,0
7124,34,Female,Japan,3.9,370.5,7.4,Good,22.1,82,Low,5.0,None,Other,0,0
7125,51,Female,Brazil,1.7,165.3,5.7,Fair,29.7,77,Medium,2.1,Moderate,Office,0,0
7126,18,Male,Australia,3.7,350.1,6.7,Good,26.8,64,Low,4.0,None,Service,1,0
7127,35,Female,France,3.0,281.7,6.2,Good,15.0,61,Low,5.4,None,Office,0,1
7128,42,Female,Spain,0.0,4.1,7.3,Good,21.2,68,Low,8.3,None,Other,0,0
7129,37,Female,Australia,5.5,523.6,5.9,Fair,19.7,61,Medium,4.2,Mild,Office,1,0
7130,50,Male,Sweden,4.3,407.8,3.9,Poor,16.5,64,High,4.8,Mild,Student,0,0
7131,34,Female,Australia,0.4,36.8,7.6,Good,23.8,65,Low,8.2,None,Other,0,0
7132,32,Male,Sweden,3.1,294.4,7.1,Good,28.9,77,Low,4.2,None,Service,0,1
7133,42,Female,France,4.7,447.8,4.8,Poor,20.2,94,High,14.6,Mild,Other,0,0
7134,36,Male,Sweden,3.1,296.0,7.7,Good,21.8,73,Low,6.7,None,Service,0,0
7135,30,Male,China,1.9,178.4,7.9,Good,22.8,64,Low,12.1,None,Student,0,0
7136,41,Female,Germany,2.3,220.0,8.1,Excellent,16.9,82,Low,10.2,None,Healthcare,0,0
7137,27,Male,Japan,2.1,201.7,4.8,Poor,32.6,81,High,2.0,Moderate,Student,0,1
7138,27,Female,Japan,2.3,217.3,7.7,Good,27.4,79,Low,11.7,None,Student,0,0
7139,28,Female,Japan,4.2,397.7,5.4,Fair,24.7,82,Medium,3.7,Mild,Office,0,0
7140,51,Male,China,3.2,304.9,5.1,Fair,21.3,89,Medium,13.4,Moderate,Healthcare,0,0
7141,18,Female,Norway,1.2,114.5,6.2,Good,18.9,50,Low,10.8,None,Other,0,0
7142,39,Female,Canada,2.1,198.7,6.4,Good,20.9,69,Low,10.8,None,Healthcare,0,0
7143,35,Male,Sweden,1.9,181.0,6.1,Good,28.4,59,Low,4.6,None,Student,0,1
7144,18,Other,Japan,2.9,278.7,8.0,Good,21.4,76,Low,5.9,None,Office,0,0
7145,38,Female,Netherlands,0.8,78.3,5.6,Fair,23.7,74,Medium,11.0,Mild,Healthcare,1,0
7146,40,Male,Sweden,0.2,22.8,8.1,Excellent,24.2,73,Low,5.5,None,Other,0,1
7147,42,Female,Netherlands,1.1,105.3,6.3,Good,37.2,65,Low,6.8,Mild,Healthcare,1,0
7148,18,Male,Switzerland,0.2,15.2,7.1,Good,21.6,73,Low,8.4,None,Service,0,0
7149,51,Female,Switzerland,0.2,19.8,6.6,Good,19.5,74,Low,4.5,Mild,Service,1,0
7150,26,Female,USA,4.3,412.0,5.4,Fair,16.7,67,Medium,11.4,Mild,Other,0,1
7151,43,Male,Japan,2.3,219.2,5.7,Fair,21.4,60,Medium,4.1,Mild,Healthcare,0,0
7152,43,Female,Australia,3.1,290.5,5.0,Poor,33.4,86,High,0.8,Moderate,Office,0,0
7153,24,Female,UK,2.6,246.2,4.9,Poor,26.3,79,High,11.8,Mild,Other,0,0
7154,42,Male,Mexico,2.7,254.1,6.4,Good,29.9,50,Low,5.6,None,Student,0,1
7155,30,Female,China,2.9,280.0,8.2,Excellent,25.8,59,Low,12.7,None,Student,1,0
7156,18,Female,Brazil,3.4,321.2,5.2,Fair,22.6,67,Medium,9.4,Mild,Other,0,0
7157,49,Male,UK,3.1,290.1,6.8,Good,26.8,78,Low,12.5,None,Student,0,1
7158,25,Female,Australia,6.7,634.8,5.8,Fair,20.3,53,Medium,5.7,Mild,Service,1,0
7159,24,Male,USA,1.0,91.4,8.4,Excellent,26.6,57,Low,8.4,None,Office,0,0
7160,30,Male,Netherlands,0.9,86.5,7.4,Good,28.1,68,Low,0.2,None,Office,0,1
7161,38,Female,Spain,1.7,159.5,6.0,Fair,28.0,72,Medium,3.9,Mild,Office,0,1
7162,34,Female,France,0.5,49.0,5.5,Fair,23.2,63,Medium,13.1,Mild,Healthcare,1,0
7163,41,Female,China,2.1,196.4,4.4,Poor,28.8,74,High,6.6,Mild,Other,0,1
7164,18,Male,Mexico,1.1,101.2,5.9,Fair,19.5,65,Medium,9.5,Mild,Student,0,0
7165,26,Female,Sweden,2.6,249.1,9.2,Excellent,26.9,56,Low,4.2,None,Healthcare,0,1
7166,33,Female,Germany,2.6,248.0,5.9,Fair,25.1,74,Medium,12.8,Mild,Student,0,0
7167,57,Male,Netherlands,0.5,51.5,4.7,Poor,21.2,76,High,8.9,Moderate,Other,1,0
7168,33,Male,UK,3.6,346.7,4.5,Poor,19.6,81,High,13.6,Mild,Student,0,0
7169,48,Female,China,1.3,123.2,8.7,Excellent,23.7,58,Low,3.7,None,Healthcare,0,0
7170,35,Male,USA,1.1,103.8,6.3,Good,24.3,76,Low,10.9,None,Healthcare,0,0
7171,29,Male,Spain,3.2,300.1,7.0,Good,21.5,75,Low,0.3,None,Healthcare,0,0
7172,32,Female,Canada,2.5,237.5,7.0,Good,18.8,89,Low,9.0,None,Office,0,0
7173,32,Other,USA,2.5,237.7,5.9,Fair,27.4,60,Medium,4.5,Mild,Service,0,0
7174,42,Female,India,1.0,96.0,6.3,Good,27.9,71,Low,1.8,None,Healthcare,0,0
7175,51,Female,Australia,0.8,78.9,5.7,Fair,32.4,69,Medium,9.4,Severe,Service,0,0
7176,39,Female,Canada,3.7,351.2,4.3,Poor,21.3,55,High,0.4,Mild,Healthcare,0,0
7177,49,Female,Australia,2.4,227.0,7.9,Good,24.3,84,Low,2.3,None,Student,0,0
7178,23,Male,Japan,2.8,270.2,7.5,Good,27.8,62,Low,5.6,None,Other,0,1
7179,30,Male,USA,2.7,259.2,6.6,Good,28.2,63,Low,6.7,None,Healthcare,0,0
7180,26,Male,Sweden,3.5,334.1,6.6,Good,25.5,69,Low,13.6,None,Office,1,0
7181,38,Male,Japan,2.4,229.3,7.8,Good,26.9,62,Low,5.0,None,Healthcare,0,0
7182,30,Male,Australia,2.2,204.4,3.9,Poor,21.3,76,High,0.8,Mild,Student,0,1
7183,43,Male,Japan,3.6,339.7,7.1,Good,24.5,71,Low,14.4,None,Student,1,0
7184,23,Male,China,5.9,555.9,7.4,Good,20.5,52,Low,12.5,None,Student,0,0
7185,35,Male,Norway,0.6,60.5,9.2,Excellent,26.7,52,Low,3.4,None,Student,0,0
7186,43,Female,Japan,1.7,159.3,7.9,Good,28.3,75,Low,7.7,None,Healthcare,0,0
7187,18,Male,South Korea,2.9,279.2,8.5,Excellent,37.9,64,Low,2.3,Mild,Service,0,0
7188,60,Female,UK,0.0,0.0,6.7,Good,29.9,69,Low,14.3,Mild,Student,1,1
7189,31,Male,Japan,4.2,395.7,6.4,Good,17.1,75,Low,7.7,None,Student,0,0
7190,18,Female,Norway,3.7,350.8,5.5,Fair,19.9,60,Medium,7.1,Mild,Healthcare,0,0
7191,36,Female,Finland,2.5,241.8,5.9,Fair,30.0,58,Medium,12.4,Mild,Other,0,0
7192,35,Female,Italy,3.2,304.0,7.7,Good,26.2,77,Low,1.9,None,Office,1,0
7193,34,Female,Norway,4.8,452.2,6.8,Good,24.4,68,Low,4.0,None,Office,0,0
7194,46,Female,UK,2.9,278.7,7.2,Good,23.8,83,Low,11.0,None,Office,0,0
7195,43,Male,Japan,0.6,57.2,5.1,Fair,20.2,76,Medium,9.2,Mild,Other,1,1
7196,38,Other,South Korea,3.9,374.4,7.0,Good,16.1,75,Low,2.4,None,Healthcare,0,1
7197,40,Female,USA,3.9,369.5,8.1,Excellent,20.3,91,Low,3.2,None,Other,0,1
7198,33,Female,South Korea,2.8,267.2,7.1,Good,23.2,65,Low,13.2,None,Student,1,0
7199,56,Male,Australia,6.4,610.1,4.9,Poor,24.9,68,High,12.4,Moderate,Healthcare,0,0
7200,18,Female,Italy,2.3,222.6,6.6,Good,22.9,77,Low,0.2,None,Healthcare,1,0
7201,36,Female,South Korea,0.0,0.0,8.7,Excellent,18.9,69,Low,14.3,None,Office,1,0
7202,35,Female,Sweden,2.9,274.5,6.9,Good,21.9,64,Low,8.7,None,Student,0,0
7203,44,Female,China,2.7,258.4,8.1,Excellent,24.5,64,Low,7.1,None,Service,1,0
7204,24,Male,UK,5.8,554.8,8.4,Excellent,25.0,59,Low,5.3,None,Healthcare,1,0
7205,18,Male,Netherlands,3.0,288.3,6.3,Good,22.4,72,Low,5.6,None,Healthcare,1,0
7206,36,Male,Germany,2.1,203.1,5.4,Fair,22.5,77,Medium,7.4,Mild,Healthcare,0,0
7207,38,Male,Japan,0.6,58.6,6.3,Good,27.2,69,Low,3.2,None,Service,0,0
7208,52,Male,Spain,5.2,495.1,8.5,Excellent,25.0,80,Low,2.0,Mild,Office,0,0
7209,19,Male,South Korea,0.0,0.0,8.0,Excellent,22.5,69,Low,8.4,None,Student,0,0
7210,48,Male,Australia,3.2,304.4,6.8,Good,25.4,68,Low,6.8,None,Service,0,1
7211,63,Female,Canada,0.0,0.0,8.3,Excellent,16.0,73,Low,10.2,Mild,Healthcare,0,0
7212,30,Male,Germany,2.1,195.9,6.2,Good,22.8,68,Low,7.4,None,Office,0,0
7213,19,Female,Mexico,2.0,186.9,6.3,Good,23.4,70,Low,5.9,None,Student,0,1
7214,30,Female,France,1.5,139.7,5.9,Fair,23.9,69,Medium,5.2,Mild,Other,0,0
7215,35,Female,Germany,1.9,184.8,9.3,Excellent,20.5,57,Low,8.7,None,Office,0,1
7216,41,Male,Canada,2.7,257.5,6.8,Good,26.6,74,Low,4.2,None,Student,0,0
7217,27,Female,Australia,1.8,171.8,6.6,Good,19.0,59,Low,12.3,None,Healthcare,0,0
7218,53,Female,Mexico,2.3,220.7,6.9,Good,17.2,67,Low,11.9,Mild,Student,0,0
7219,21,Other,India,1.5,138.5,6.7,Good,23.3,91,Low,9.7,None,Healthcare,0,0
7220,18,Female,China,2.1,203.0,5.7,Fair,21.6,81,Medium,5.8,Mild,Office,0,0
7221,48,Female,USA,4.0,376.1,7.7,Good,18.7,64,Low,9.0,None,Other,0,0
7222,18,Female,India,1.8,171.7,4.7,Poor,25.7,61,High,9.3,Mild,Office,0,0
7223,32,Male,France,4.8,460.0,6.5,Good,23.8,68,Low,10.2,None,Healthcare,0,0
7224,72,Male,Norway,4.0,375.9,7.2,Good,27.8,74,Low,5.7,Mild,Service,1,0
7225,34,Female,India,3.7,354.5,4.6,Poor,25.3,53,High,6.3,Mild,Office,0,1
7226,21,Male,Mexico,2.5,238.6,7.2,Good,23.5,67,Low,13.7,None,Other,0,0
7227,34,Male,Switzerland,1.1,102.0,6.3,Good,19.4,82,Low,1.7,None,Service,1,0
7228,34,Female,Belgium,2.6,251.6,4.6,Poor,19.3,68,High,2.0,Mild,Service,0,0
7229,36,Male,Norway,5.1,488.1,6.5,Good,22.6,62,Low,14.9,None,Healthcare,0,0
7230,42,Female,USA,1.3,119.9,7.9,Good,22.2,58,Low,9.4,None,Student,0,0
7231,22,Female,Netherlands,2.9,279.4,10.0,Excellent,27.1,59,Low,6.9,None,Other,1,1
7232,55,Male,Sweden,1.1,108.1,6.4,Good,27.1,83,Low,1.8,Mild,Healthcare,1,0
7233,37,Male,France,1.9,180.1,7.3,Good,17.7,73,Low,9.7,None,Other,1,0
7234,43,Male,Mexico,3.0,280.3,7.7,Good,19.2,70,Low,11.6,None,Student,0,0
7235,27,Male,USA,3.0,289.4,6.7,Good,17.2,79,Low,8.0,None,Healthcare,0,1
7236,50,Male,India,2.7,254.2,7.5,Good,21.2,79,Low,0.7,None,Office,0,1
7237,31,Male,USA,3.4,323.9,6.0,Fair,28.5,70,Medium,7.7,Mild,Office,0,0
7238,38,Male,Australia,3.2,302.3,6.3,Good,25.4,76,Low,2.3,None,Service,1,0
7239,23,Male,South Korea,2.0,190.8,5.2,Fair,24.7,58,Medium,6.5,Mild,Student,1,0
7240,23,Female,Brazil,3.6,340.6,6.0,Good,23.6,70,Low,4.4,None,Healthcare,0,0
7241,43,Female,Germany,1.0,99.7,4.9,Poor,21.2,69,High,2.0,Mild,Student,0,0
7242,29,Female,Japan,2.1,200.7,4.8,Poor,27.4,57,High,0.7,Mild,Student,0,1
7243,24,Female,China,1.8,171.3,7.8,Good,26.2,66,Low,9.0,None,Office,0,1
7244,27,Male,Netherlands,3.1,290.6,5.0,Poor,27.9,91,High,8.6,Mild,Healthcare,0,0
7245,43,Female,Japan,0.0,0.0,8.1,Excellent,20.2,74,Low,2.4,None,Service,0,1
7246,27,Male,Netherlands,1.9,180.6,6.5,Good,22.8,69,Low,13.8,None,Healthcare,0,0
7247,33,Male,France,3.2,302.6,6.3,Good,18.9,60,Low,13.1,None,Office,0,1
7248,35,Female,South Korea,6.2,589.5,5.2,Fair,20.6,90,Medium,4.0,Mild,Service,0,0
7249,18,Male,Germany,2.6,244.6,6.6,Good,21.0,81,Low,7.6,None,Service,0,0
7250,18,Male,Italy,0.9,83.3,8.7,Excellent,26.0,77,Low,7.6,None,Other,0,1
7251,39,Female,Netherlands,3.5,333.6,5.6,Fair,25.7,67,Medium,2.7,Mild,Healthcare,0,1
7252,26,Female,Netherlands,1.5,140.6,6.4,Good,28.7,50,Low,5.9,None,Other,0,0
7253,47,Male,South Korea,0.5,44.0,7.9,Good,15.1,83,Low,9.6,None,Office,0,0
7254,46,Male,France,2.8,263.5,5.2,Fair,22.9,85,Medium,7.5,Mild,Healthcare,0,1
7255,43,Female,Netherlands,4.5,426.0,4.8,Poor,36.4,72,High,5.7,Moderate,Healthcare,0,1
7256,56,Female,Brazil,1.3,123.3,6.7,Good,26.3,57,Low,6.6,Mild,Healthcare,1,0
7257,34,Male,Mexico,2.2,207.4,8.1,Excellent,23.2,74,Low,9.6,None,Other,0,0
7258,42,Female,China,3.5,336.2,6.4,Good,27.1,69,Low,13.8,None,Student,0,0
7259,27,Female,France,4.0,383.2,6.1,Good,20.6,87,Low,13.8,None,Student,0,0
7260,64,Male,Japan,4.6,440.7,6.3,Good,19.7,72,Low,12.7,Mild,Student,0,1
7261,58,Female,South Korea,1.5,138.1,6.7,Good,23.8,69,Low,6.7,Mild,Other,1,0
7262,35,Female,Italy,2.3,219.7,5.9,Fair,25.2,66,Medium,14.9,Mild,Other,0,0
7263,39,Male,Mexico,0.0,0.0,8.1,Excellent,26.9,66,Low,2.4,None,Service,0,1
7264,51,Female,Norway,1.9,181.3,7.0,Good,27.0,59,Low,6.9,Mild,Student,0,1
7265,33,Male,Italy,0.9,88.1,6.2,Good,20.6,80,Low,8.1,None,Other,0,0
7266,27,Female,Brazil,2.7,257.5,6.7,Good,25.3,58,Low,14.6,None,Service,0,0
7267,45,Female,Italy,3.8,363.7,6.0,Good,28.0,70,Low,7.2,None,Office,1,0
7268,35,Male,Germany,3.5,335.9,4.8,Poor,27.3,75,High,9.8,Mild,Office,0,0
7269,37,Female,Sweden,0.8,72.2,9.5,Excellent,26.7,54,Low,3.5,None,Other,0,0
7270,24,Female,UK,1.9,180.7,6.9,Good,26.1,65,Low,7.8,None,Service,0,0
7271,18,Male,Sweden,3.2,303.2,5.3,Fair,25.8,73,Medium,9.9,Mild,Service,1,0
7272,37,Male,Brazil,2.7,255.3,5.2,Fair,23.9,70,Medium,3.4,Mild,Other,0,0
7273,45,Male,Mexico,1.4,137.3,5.0,Fair,31.1,70,Medium,7.8,Moderate,Healthcare,0,1
7274,32,Female,Japan,3.1,290.9,5.7,Fair,27.4,57,Medium,9.9,Mild,Office,0,0
7275,52,Female,Netherlands,3.6,346.7,5.0,Fair,22.8,59,Medium,4.2,Moderate,Office,0,0
7276,26,Female,South Korea,2.2,210.5,6.4,Good,17.2,77,Low,7.0,None,Healthcare,0,0
7277,22,Male,Mexico,1.0,96.4,8.8,Excellent,32.7,80,Low,12.2,Mild,Office,0,0
7278,34,Female,China,3.1,291.3,5.7,Fair,20.8,83,Medium,8.1,Mild,Office,0,1
7279,34,Male,Italy,1.2,114.6,10.0,Excellent,18.2,70,Low,3.2,None,Office,0,0
7280,44,Male,China,4.5,425.9,7.1,Good,27.9,78,Low,3.2,None,Office,0,1
7281,25,Male,Japan,0.0,0.0,9.6,Excellent,24.0,54,Low,10.6,None,Student,0,1
7282,51,Male,Germany,2.0,191.2,5.1,Fair,26.2,58,Medium,4.2,Moderate,Other,0,0
7283,58,Female,USA,1.2,110.6,6.0,Fair,19.0,66,Medium,0.4,Moderate,Healthcare,0,0
7284,34,Female,Japan,3.6,339.0,5.7,Fair,27.3,70,Medium,12.8,Mild,Office,0,0
7285,49,Female,Norway,4.6,441.7,6.2,Good,30.0,67,Low,0.3,None,Student,0,0
7286,22,Female,USA,1.5,144.3,7.6,Good,23.9,67,Low,8.2,None,Other,1,0
7287,47,Male,China,1.1,103.9,5.0,Fair,21.6,58,Medium,3.3,Mild,Healthcare,1,0
7288,47,Other,Germany,3.5,329.3,7.5,Good,20.5,65,Low,11.7,None,Office,0,0
7289,45,Female,Canada,0.0,0.0,6.2,Good,27.1,56,Low,2.1,None,Office,0,0
7290,34,Female,Australia,2.9,272.6,8.8,Excellent,28.5,82,Low,12.8,None,Office,0,0
7291,18,Male,Spain,2.4,232.7,7.1,Good,22.5,60,Low,8.6,None,Service,0,0
7292,27,Female,India,2.2,206.3,8.2,Excellent,21.9,77,Low,2.5,None,Student,0,0
7293,27,Female,Netherlands,1.2,118.0,6.3,Good,24.2,70,Low,9.7,None,Other,1,1
7294,23,Male,UK,0.0,0.0,7.7,Good,23.0,75,Low,0.4,None,Healthcare,1,0
7295,36,Female,China,4.0,376.3,5.8,Fair,18.4,72,Medium,9.0,Mild,Healthcare,0,0
7296,29,Female,Germany,3.4,327.2,7.2,Good,16.5,66,Low,11.2,None,Student,0,1
7297,25,Male,Japan,2.4,229.3,6.9,Good,22.9,66,Low,7.2,None,Student,0,0
7298,22,Male,France,2.8,270.2,8.4,Excellent,20.9,81,Low,2.2,None,Office,0,0
7299,26,Female,India,2.3,216.0,7.8,Good,26.6,63,Low,3.0,None,Healthcare,1,1
7300,48,Male,Finland,4.0,377.5,7.0,Good,20.2,69,Low,2.2,None,Office,0,1
7301,27,Female,China,2.2,209.2,6.9,Good,15.0,87,Low,6.1,None,Student,0,1
7302,28,Female,Mexico,2.5,233.0,6.7,Good,22.8,68,Low,2.7,None,Student,0,0
7303,29,Male,Australia,2.7,258.5,4.8,Poor,26.7,71,High,4.5,Mild,Student,0,0
7304,39,Female,Norway,1.9,182.7,5.4,Fair,31.2,53,Medium,2.1,Moderate,Other,0,0
7305,40,Female,Belgium,2.4,224.3,5.6,Fair,32.0,68,Medium,2.7,Moderate,Other,0,0
7306,18,Female,Germany,2.3,218.7,8.6,Excellent,21.9,70,Low,14.0,None,Office,0,0
7307,47,Female,South Korea,1.5,139.9,6.1,Good,20.2,67,Low,0.2,None,Student,1,0
7308,52,Female,Italy,1.1,101.7,6.3,Good,24.0,75,Low,7.8,Mild,Office,0,1
7309,22,Male,Brazil,2.2,209.3,7.4,Good,25.7,69,Low,6.5,None,Office,0,0
7310,23,Male,Spain,2.0,194.3,5.6,Fair,21.6,63,Medium,4.2,Mild,Other,0,1
7311,29,Male,China,4.1,388.3,8.1,Excellent,21.9,67,Low,12.0,None,Service,0,0
7312,25,Male,South Korea,1.1,100.4,3.8,Poor,28.7,74,High,3.3,Mild,Other,1,1
7313,37,Female,Australia,1.7,158.0,8.2,Excellent,19.5,57,Low,13.4,None,Office,0,1
7314,18,Male,South Korea,2.8,263.8,8.8,Excellent,24.0,68,Low,10.2,None,Other,0,0
7315,21,Female,Finland,3.1,294.2,6.9,Good,28.1,72,Low,10.0,None,Student,0,1
7316,53,Male,UK,2.3,217.7,5.8,Fair,28.2,84,Medium,14.4,Moderate,Student,0,0
7317,23,Male,Italy,3.7,354.1,7.6,Good,28.0,87,Low,13.0,None,Healthcare,1,0
7318,49,Female,Brazil,2.3,222.6,5.8,Fair,32.9,76,Medium,7.3,Moderate,Service,1,0
7319,39,Male,Japan,1.2,113.8,9.4,Excellent,26.1,69,Low,8.7,None,Other,1,0
7320,18,Female,Germany,2.4,231.9,7.3,Good,23.5,83,Low,11.6,None,Service,0,0
7321,42,Male,Brazil,3.6,343.7,5.4,Fair,19.9,81,Medium,3.1,Mild,Healthcare,0,0
7322,33,Female,Germany,4.0,376.1,7.4,Good,21.5,75,Low,9.7,None,Student,1,0
7323,29,Female,China,3.9,372.1,5.2,Fair,15.3,80,Medium,4.1,Mild,Office,1,0
7324,37,Female,South Korea,2.8,265.1,5.6,Fair,25.0,67,Medium,1.0,Mild,Other,0,0
7325,40,Male,Norway,2.9,274.9,7.5,Good,25.3,57,Low,14.7,None,Student,0,1
7326,43,Female,Canada,3.4,321.5,5.6,Fair,22.8,80,Medium,10.5,Mild,Healthcare,0,1
7327,49,Female,India,0.1,5.5,7.1,Good,20.0,67,Low,10.6,None,Office,1,0
7328,39,Female,Italy,1.4,135.2,7.5,Good,24.1,71,Low,6.6,None,Student,0,1
7329,18,Male,Norway,2.9,280.1,5.8,Fair,23.2,72,Medium,3.0,Mild,Student,0,1
7330,29,Male,Canada,1.0,97.0,6.2,Good,21.3,79,Low,13.3,None,Student,1,1
7331,70,Male,Germany,4.2,401.6,8.4,Excellent,24.1,65,Low,9.5,Mild,Other,0,0
7332,43,Male,Australia,4.1,389.6,7.2,Good,27.6,57,Low,3.7,None,Other,0,1
7333,63,Female,India,1.7,160.3,6.7,Good,22.4,73,Low,2.5,Mild,Office,0,0
7334,51,Male,Finland,1.1,108.3,6.7,Good,21.7,82,Low,11.1,Mild,Other,0,1
7335,37,Male,China,3.1,298.8,5.1,Fair,22.4,57,Medium,2.7,Mild,Healthcare,0,1
7336,38,Female,India,0.6,55.5,7.5,Good,22.5,72,Low,3.3,None,Office,1,1
7337,34,Male,Canada,2.7,257.4,6.7,Good,25.8,74,Low,1.5,None,Student,0,1
7338,18,Female,Mexico,6.7,640.8,7.1,Good,25.6,91,Low,11.3,None,Healthcare,0,1
7339,35,Female,Finland,1.0,93.8,4.3,Poor,25.7,75,High,9.5,Mild,Student,0,0
7340,49,Male,South Korea,1.3,126.0,6.6,Good,23.7,59,Low,6.4,None,Office,0,0
7341,27,Female,Sweden,1.6,149.5,6.7,Good,24.7,75,Low,2.6,None,Student,1,0
7342,39,Male,China,1.2,109.5,7.2,Good,17.2,71,Low,8.3,None,Service,0,0
7343,45,Male,Netherlands,1.2,116.8,7.1,Good,20.0,74,Low,9.7,None,Healthcare,1,0
7344,24,Male,France,5.1,482.5,6.9,Good,23.9,55,Low,3.7,None,Office,0,1
7345,29,Male,France,2.6,246.4,6.4,Good,24.4,59,Low,4.8,None,Office,0,0
7346,22,Male,Belgium,3.9,367.1,4.9,Poor,27.6,61,High,3.2,Mild,Student,1,0
7347,25,Male,India,4.3,408.4,4.6,Poor,22.1,90,High,5.4,Mild,Student,1,0
7348,19,Female,Canada,0.0,0.0,6.9,Good,16.5,70,Low,3.7,None,Healthcare,1,1
7349,24,Female,Switzerland,1.3,127.9,10.0,Excellent,26.0,61,Low,7.3,None,Other,0,0
7350,52,Female,UK,1.1,108.3,7.5,Good,16.5,73,Low,14.1,Mild,Healthcare,0,0
7351,24,Female,South Korea,0.0,0.0,10.0,Excellent,22.4,72,Low,4.2,None,Service,0,1
7352,36,Male,India,3.1,298.2,7.4,Good,17.2,75,Low,6.2,None,Healthcare,0,0
7353,28,Male,Japan,3.0,280.8,5.3,Fair,31.7,60,Medium,5.6,Moderate,Student,0,0
7354,49,Male,Belgium,4.5,425.9,6.2,Good,19.1,74,Low,3.0,None,Other,0,0
7355,50,Male,Australia,3.2,305.1,9.6,Excellent,24.1,67,Low,14.6,None,Other,0,0
7356,45,Female,USA,0.0,0.0,7.9,Good,23.3,62,Low,7.8,None,Healthcare,1,0
7357,38,Female,UK,1.4,137.5,7.7,Good,17.2,83,Low,9.0,None,Service,0,0
7358,32,Male,Switzerland,1.6,147.8,5.9,Fair,29.9,84,Medium,2.7,Mild,Healthcare,1,0
7359,20,Male,Spain,3.3,310.4,6.5,Good,26.6,74,Low,12.1,None,Office,0,0
7360,58,Male,Sweden,0.0,0.0,5.7,Fair,22.0,64,Medium,13.1,Moderate,Other,0,1
7361,25,Male,USA,3.3,315.0,6.0,Fair,18.8,72,Medium,7.6,Mild,Office,0,1
7362,42,Male,USA,3.7,349.8,6.6,Good,19.7,50,Low,4.8,None,Service,0,0
7363,47,Female,Italy,2.1,201.8,5.9,Fair,16.9,86,Medium,3.8,Mild,Service,0,0
7364,28,Male,USA,1.3,123.6,8.0,Good,22.8,86,Low,1.3,None,Student,0,1
7365,47,Female,South Korea,4.3,405.4,5.7,Fair,25.0,87,Medium,6.3,Mild,Healthcare,0,0
7366,44,Male,Australia,0.4,40.3,7.3,Good,28.9,61,Low,8.8,None,Healthcare,0,0
7367,55,Male,Norway,4.2,400.8,7.6,Good,27.3,71,Low,7.0,Mild,Healthcare,0,0
7368,29,Female,China,3.9,367.0,8.9,Excellent,27.4,84,Low,7.9,None,Office,1,0
7369,19,Female,UK,3.3,317.4,6.9,Good,25.6,57,Low,13.4,None,Service,1,0
7370,28,Male,Mexico,5.2,496.4,5.0,Poor,25.3,74,High,4.1,Mild,Service,0,0
7371,37,Female,Spain,2.5,239.9,6.6,Good,23.2,66,Low,8.8,None,Office,0,1
7372,35,Male,Japan,3.4,326.0,8.8,Excellent,26.9,50,Low,2.3,None,Healthcare,0,0
7373,30,Male,France,2.4,230.7,7.8,Good,21.5,76,Low,9.4,None,Healthcare,1,0
7374,18,Female,Spain,2.0,191.7,6.9,Good,23.7,73,Low,1.4,None,Office,0,0
7375,40,Female,China,3.3,312.8,7.2,Good,24.6,72,Low,2.2,None,Student,0,0
7376,58,Male,Mexico,2.0,194.3,7.0,Good,26.9,59,Low,2.4,Mild,Student,0,0
7377,40,Male,China,2.6,246.4,5.1,Fair,21.9,82,Medium,9.4,Mild,Healthcare,0,0
7378,42,Female,Brazil,2.6,247.2,6.9,Good,30.9,75,Low,10.3,Mild,Healthcare,1,0
7379,41,Male,India,1.9,179.8,5.9,Fair,34.4,75,Medium,0.2,Moderate,Office,0,0
7380,39,Male,Finland,3.6,342.2,5.8,Fair,17.7,81,Medium,12.4,Mild,Other,1,1
7381,46,Female,Australia,0.0,0.0,6.7,Good,25.9,75,Low,12.0,None,Service,0,0
7382,39,Female,Japan,1.5,138.4,4.3,Poor,29.1,64,High,3.3,Mild,Healthcare,0,0
7383,31,Male,USA,1.0,98.8,6.6,Good,21.8,75,Low,1.3,None,Healthcare,1,1
7384,25,Female,India,3.0,281.3,4.5,Poor,26.5,72,High,8.7,Mild,Other,0,0
7385,32,Female,Netherlands,2.1,203.6,7.7,Good,21.6,71,Low,13.0,None,Student,1,1
7386,38,Male,Norway,0.4,35.3,4.5,Poor,21.6,76,High,5.3,Mild,Service,1,0
7387,31,Female,France,3.2,304.5,4.4,Poor,23.5,61,High,14.5,Mild,Other,0,1
7388,38,Female,Germany,2.8,269.9,4.3,Poor,19.9,50,High,14.6,Mild,Office,0,0
7389,40,Male,China,2.6,242.7,7.0,Good,23.1,67,Low,0.2,None,Student,0,0
7390,44,Male,Japan,3.7,348.7,6.4,Good,20.0,55,Low,9.8,None,Service,0,0
7391,50,Female,Mexico,3.3,311.9,8.6,Excellent,24.0,67,Low,5.3,None,Student,0,0
7392,35,Female,Australia,2.2,204.3,7.2,Good,24.2,54,Low,2.1,None,Other,0,0
7393,19,Male,South Korea,3.1,296.8,4.4,Poor,24.9,72,High,11.1,Mild,Service,0,1
7394,30,Female,Switzerland,4.6,432.7,5.3,Fair,25.8,71,Medium,10.7,Mild,Healthcare,0,0
7395,35,Female,Brazil,2.3,215.6,6.9,Good,25.1,70,Low,0.8,None,Office,0,1
7396,18,Female,Sweden,4.4,415.1,6.7,Good,27.3,77,Low,2.1,None,Student,0,0
7397,51,Female,Switzerland,5.3,507.6,4.1,Poor,21.6,83,High,1.1,Moderate,Office,0,1
7398,36,Male,India,3.0,284.5,7.6,Good,27.7,65,Low,8.9,None,Student,0,0
7399,39,Male,France,1.0,94.2,5.8,Fair,25.6,72,Medium,4.3,Mild,Student,0,0
7400,51,Female,India,2.1,195.1,5.7,Fair,23.5,73,Medium,8.4,Moderate,Student,0,0
7401,27,Male,Spain,2.7,260.7,7.9,Good,21.8,56,Low,10.3,None,Office,0,1
7402,41,Female,China,2.5,240.4,6.6,Good,17.6,80,Low,5.2,None,Healthcare,0,0
7403,33,Male,Spain,2.7,255.9,7.0,Good,19.4,62,Low,5.2,None,Student,1,1
7404,32,Male,China,4.3,410.6,7.0,Good,30.5,64,Low,11.2,Mild,Other,0,1
7405,25,Male,Belgium,1.2,116.4,4.9,Poor,19.4,67,High,5.3,Mild,Other,0,1
7406,54,Female,Spain,3.1,290.0,6.8,Good,21.2,61,Low,5.3,Mild,Office,0,1
7407,30,Female,Japan,3.9,368.8,8.7,Excellent,23.0,63,Low,9.0,None,Office,1,1
7408,43,Female,Brazil,2.1,201.8,6.4,Good,24.0,75,Low,1.1,None,Other,0,0
7409,18,Male,Spain,1.0,91.3,7.3,Good,22.4,58,Low,5.1,None,Healthcare,0,0
7410,49,Male,Spain,2.2,208.2,9.7,Excellent,26.5,80,Low,2.0,None,Healthcare,1,0
7411,47,Female,Brazil,0.9,89.1,8.7,Excellent,24.9,60,Low,13.2,None,Service,0,1
7412,36,Male,Brazil,1.4,136.8,6.3,Good,26.2,78,Low,5.0,None,Student,0,0
7413,32,Female,India,3.4,320.3,7.1,Good,29.5,75,Low,7.0,None,Other,1,1
7414,39,Female,China,2.9,275.2,7.5,Good,24.9,60,Low,1.3,None,Office,0,0
7415,62,Male,Finland,3.6,339.0,9.1,Excellent,23.1,62,Low,7.4,Mild,Other,0,0
7416,18,Female,Brazil,3.2,306.4,5.4,Fair,15.2,77,Medium,9.9,Mild,Other,0,0
7417,44,Male,UK,2.2,208.1,10.0,Excellent,33.1,81,Low,0.7,Mild,Office,0,1
7418,24,Female,Netherlands,1.0,93.6,7.2,Good,30.8,70,Low,5.0,Mild,Other,0,1
7419,34,Male,Mexico,3.0,283.6,6.2,Good,29.1,82,Low,8.4,None,Healthcare,0,1
7420,32,Male,Mexico,1.7,161.3,7.5,Good,24.8,82,Low,14.9,None,Student,0,0
7421,29,Female,Netherlands,2.3,217.6,6.2,Good,23.5,62,Low,11.5,None,Healthcare,0,0
7422,34,Female,Brazil,1.4,135.6,6.4,Good,23.9,83,Low,8.5,None,Other,0,1
7423,21,Female,Mexico,3.9,366.3,5.7,Fair,25.4,78,Medium,3.1,Mild,Healthcare,0,0
7424,47,Female,Netherlands,0.0,0.0,6.3,Good,27.3,61,Low,14.5,None,Service,0,1
7425,18,Female,Norway,3.3,310.9,4.5,Poor,21.0,65,High,3.0,Mild,Other,0,1
7426,41,Male,UK,2.7,258.8,4.6,Poor,22.5,82,High,2.3,Mild,Service,0,0
7427,31,Female,South Korea,3.8,363.9,5.5,Fair,22.8,86,Medium,6.4,Mild,Healthcare,0,0
7428,20,Female,China,0.7,63.3,7.2,Good,26.1,68,Low,11.1,None,Office,1,1
7429,37,Male,Sweden,2.4,230.9,5.8,Fair,27.9,94,Medium,1.4,Mild,Student,0,0
7430,18,Female,France,1.9,176.5,9.3,Excellent,29.1,86,Low,2.8,None,Office,0,0
7431,35,Female,India,2.3,215.0,7.4,Good,25.0,78,Low,9.4,None,Service,1,1
7432,18,Male,Norway,2.5,240.0,5.8,Fair,31.3,77,Medium,0.4,Moderate,Office,0,0
7433,40,Female,Japan,1.8,169.2,8.9,Excellent,24.4,76,Low,9.9,None,Service,0,0
7434,23,Male,Canada,2.3,222.1,6.4,Good,31.0,55,Low,1.0,Mild,Office,1,1
7435,29,Male,Netherlands,4.4,414.1,6.1,Good,28.0,66,Low,5.5,None,Student,1,0
7436,38,Male,India,4.7,443.7,7.1,Good,22.6,72,Low,6.2,None,Other,0,1
7437,25,Female,Switzerland,2.9,271.5,6.5,Good,33.3,67,Low,9.6,Mild,Student,1,0
7438,34,Male,Brazil,4.7,446.5,6.4,Good,18.4,78,Low,5.0,None,Healthcare,1,0
7439,18,Female,Switzerland,0.3,31.8,7.8,Good,30.1,72,Low,1.4,Mild,Healthcare,0,1
7440,42,Female,South Korea,3.7,352.2,5.1,Fair,23.2,77,Medium,2.1,Mild,Office,1,0
7441,56,Female,South Korea,2.8,267.8,6.4,Good,16.8,69,Low,6.6,Mild,Student,0,0
7442,68,Male,Brazil,1.9,184.6,5.6,Fair,33.8,84,Medium,8.6,Severe,Healthcare,0,0
7443,36,Female,India,3.4,324.9,6.9,Good,25.5,74,Low,14.0,None,Other,0,0
7444,44,Female,Netherlands,2.7,259.8,4.9,Poor,23.1,69,High,8.3,Mild,Office,0,1
7445,18,Female,USA,1.6,152.1,8.6,Excellent,23.2,77,Low,10.5,None,Service,0,0
7446,53,Female,Mexico,3.5,337.2,5.8,Fair,28.3,79,Medium,2.8,Moderate,Office,0,1
7447,44,Female,Japan,2.4,231.1,6.2,Good,24.4,72,Low,14.9,None,Student,0,0
7448,29,Female,Finland,1.4,135.7,6.6,Good,32.5,55,Low,2.2,Mild,Student,0,1
7449,49,Male,France,3.7,353.0,5.3,Fair,22.3,81,Medium,8.4,Mild,Other,1,0
7450,31,Male,Australia,0.0,0.0,7.3,Good,19.5,54,Low,14.2,None,Office,0,0
7451,29,Male,Mexico,5.0,471.6,7.6,Good,25.5,59,Low,7.0,None,Office,0,0
7452,40,Male,France,3.9,366.7,6.0,Good,25.7,73,Low,13.5,None,Student,0,0
7453,22,Female,Finland,0.0,0.0,6.5,Good,20.1,65,Low,8.8,None,Office,1,1
7454,47,Female,South Korea,4.3,410.5,7.1,Good,18.7,73,Low,12.8,None,Healthcare,1,1
7455,22,Female,South Korea,2.6,249.6,7.3,Good,20.7,86,Low,10.7,None,Healthcare,0,1
7456,22,Female,Finland,0.0,0.0,7.1,Good,22.5,74,Low,8.8,None,Office,0,1
7457,24,Female,Norway,0.0,0.0,8.5,Excellent,21.1,62,Low,1.7,None,Healthcare,0,0
7458,44,Male,Japan,3.4,319.1,7.0,Good,29.4,80,Low,4.4,None,Student,0,0
7459,27,Female,Brazil,0.9,81.8,9.0,Excellent,23.0,56,Low,1.8,None,Service,0,1
7460,18,Male,Brazil,1.2,112.8,6.5,Good,29.8,64,Low,8.2,None,Office,0,1
7461,27,Male,Norway,2.7,252.5,5.2,Fair,15.3,71,Medium,6.6,Mild,Other,0,0
7462,34,Female,Switzerland,3.3,309.6,8.2,Excellent,25.9,66,Low,6.5,None,Office,0,0
7463,20,Male,India,2.8,267.8,4.5,Poor,25.0,78,High,4.2,Mild,Student,0,1
7464,21,Male,Belgium,1.1,108.3,5.8,Fair,29.0,71,Medium,12.3,Mild,Other,0,1
7465,60,Female,China,1.4,130.6,5.6,Fair,23.8,74,Medium,6.4,Moderate,Other,1,0
7466,24,Male,Brazil,0.9,86.4,6.9,Good,20.3,72,Low,4.2,None,Service,0,0
7467,31,Male,Netherlands,2.8,270.3,6.5,Good,25.0,81,Low,4.0,None,Office,0,1
7468,30,Male,USA,2.8,263.1,8.0,Excellent,24.9,61,Low,4.6,None,Office,0,1
7469,29,Male,Brazil,3.1,294.3,6.6,Good,21.5,55,Low,12.4,None,Other,1,0
7470,42,Male,Mexico,2.8,263.7,5.9,Fair,23.3,79,Medium,5.5,Mild,Healthcare,0,1
7471,46,Female,France,2.7,253.6,6.3,Good,22.4,64,Low,3.7,None,Office,0,1
7472,31,Male,Spain,3.8,364.8,5.3,Fair,30.8,62,Medium,13.3,Moderate,Office,0,0
7473,20,Female,India,2.6,251.4,7.4,Good,23.7,73,Low,13.4,None,Healthcare,0,0
7474,50,Male,Spain,3.8,363.4,8.2,Excellent,23.8,74,Low,10.2,None,Service,0,0
7475,33,Female,Norway,1.9,181.6,7.0,Good,23.2,82,Low,12.4,None,Office,0,0
7476,55,Female,Australia,1.3,125.4,6.8,Good,22.7,72,Low,12.5,Mild,Student,0,0
7477,18,Female,Brazil,4.3,408.6,6.9,Good,25.0,72,Low,10.5,None,Healthcare,0,1
7478,37,Female,India,1.8,170.6,6.2,Good,21.1,64,Low,7.0,None,Office,0,0
7479,58,Female,South Korea,2.3,221.9,6.5,Good,23.6,86,Low,14.2,Mild,Healthcare,0,1
7480,30,Male,Finland,1.3,119.6,6.6,Good,18.0,82,Low,4.9,None,Healthcare,0,0
7481,32,Female,Switzerland,5.5,520.7,7.0,Good,24.9,55,Low,11.9,None,Service,0,0
7482,38,Female,Mexico,0.2,19.4,6.5,Good,25.0,84,Low,3.4,None,Service,0,1
7483,28,Male,Japan,4.0,377.5,3.9,Poor,19.6,66,High,9.8,Mild,Other,1,1
7484,31,Male,Finland,0.0,0.0,5.6,Fair,26.5,80,Medium,12.4,Mild,Office,0,0
7485,30,Male,China,1.9,183.6,9.5,Excellent,22.7,75,Low,10.9,None,Service,0,1
7486,27,Female,Brazil,3.6,343.0,6.3,Good,29.8,81,Low,10.6,None,Office,0,0
7487,49,Male,Brazil,5.0,476.8,6.8,Good,23.2,81,Low,7.0,None,Other,0,1
7488,40,Male,Norway,2.1,203.5,6.6,Good,29.4,75,Low,13.5,None,Service,0,1
7489,38,Male,Japan,1.7,160.5,6.7,Good,26.6,78,Low,4.7,None,Service,0,1
7490,44,Female,UK,2.8,266.5,5.2,Fair,19.4,63,Medium,13.6,Mild,Other,0,1
7491,31,Male,Belgium,5.0,472.8,8.3,Excellent,21.9,104,Low,0.6,None,Student,0,1
7492,25,Male,India,2.8,261.7,5.7,Fair,30.7,64,Medium,9.0,Moderate,Student,0,0
7493,27,Female,Brazil,3.3,310.3,5.6,Fair,27.5,75,Medium,9.3,Mild,Other,0,1
7494,35,Female,Finland,1.5,146.3,7.2,Good,20.1,71,Low,3.9,None,Student,0,0
7495,22,Female,Spain,3.9,367.1,7.8,Good,26.1,76,Low,11.3,None,Student,0,0
7496,28,Female,France,0.2,14.3,6.6,Good,21.5,59,Low,2.9,None,Student,0,1
7497,28,Male,UK,4.4,416.0,4.1,Poor,22.8,72,High,6.2,Mild,Student,1,0
7498,60,Male,Sweden,4.5,426.9,4.1,Poor,29.7,64,High,13.5,Moderate,Healthcare,0,0
7499,18,Male,Germany,5.5,525.5,8.0,Excellent,26.0,56,Low,5.9,None,Healthcare,0,0
7500,32,Female,Australia,4.5,426.6,6.4,Good,19.3,67,Low,12.4,None,Service,1,1
7501,55,Male,Spain,1.7,160.6,8.3,Excellent,24.4,88,Low,1.5,Mild,Office,0,1
7502,36,Female,Australia,4.7,446.3,6.6,Good,28.7,66,Low,1.7,None,Healthcare,0,1
7503,44,Other,Switzerland,4.2,398.6,5.3,Fair,25.6,76,Medium,2.7,Mild,Office,0,0
7504,36,Male,Norway,1.4,134.2,7.3,Good,23.9,75,Low,2.5,None,Other,0,0
7505,26,Male,China,2.8,267.2,6.9,Good,21.9,80,Low,14.7,None,Other,0,0
7506,18,Male,Italy,0.0,0.0,7.6,Good,24.2,71,Low,1.7,None,Other,0,0
7507,37,Male,Norway,0.4,40.9,7.0,Good,15.0,78,Low,2.2,None,Office,0,1
7508,25,Male,Norway,3.7,354.5,5.9,Fair,24.4,76,Medium,2.6,Mild,Other,1,0
7509,25,Female,Canada,5.0,470.5,7.6,Good,19.9,88,Low,9.0,None,Service,0,1
7510,29,Male,Sweden,3.7,355.0,6.4,Good,19.4,63,Low,7.4,None,Office,0,0
7511,55,Male,Belgium,2.6,245.4,6.9,Good,25.3,81,Low,10.8,Mild,Service,1,1
7512,63,Male,Finland,1.0,90.3,5.7,Fair,24.9,74,Medium,5.1,Moderate,Service,0,0
7513,37,Female,India,3.5,329.3,5.2,Fair,23.3,66,Medium,0.6,Mild,Student,0,0
7514,29,Female,France,0.0,0.0,6.0,Good,23.6,69,Low,5.2,None,Service,0,0
7515,20,Female,Mexico,3.3,310.9,5.2,Fair,21.5,89,Medium,11.6,Mild,Healthcare,0,0
7516,40,Female,UK,1.1,109.0,4.2,Poor,16.9,69,High,12.2,Mild,Service,0,0
7517,56,Female,Switzerland,3.6,345.1,5.7,Fair,23.6,81,Medium,10.7,Moderate,Other,0,1
7518,32,Male,India,3.7,352.0,8.3,Excellent,26.4,74,Low,6.1,None,Student,0,0
7519,18,Male,Switzerland,1.7,156.9,6.2,Good,19.6,84,Low,9.2,None,Office,1,0
7520,43,Male,Belgium,3.9,370.6,4.9,Poor,22.0,70,High,2.2,Mild,Service,1,0
7521,46,Female,Spain,0.0,0.0,7.9,Good,23.5,80,Low,3.8,None,Student,0,0
7522,18,Male,Germany,2.3,217.0,6.5,Good,23.3,68,Low,3.7,None,Service,0,0
7523,37,Male,Germany,3.7,350.2,6.0,Fair,24.0,74,Medium,1.1,Mild,Service,0,0
7524,40,Female,France,3.4,326.1,5.0,Fair,24.3,60,Medium,14.1,Mild,Other,0,1
7525,34,Female,Sweden,1.7,158.3,6.8,Good,20.0,61,Low,6.5,None,Healthcare,0,0
7526,25,Female,Spain,3.8,363.2,6.5,Good,25.9,72,Low,13.1,None,Student,0,1
7527,47,Male,India,3.9,368.5,6.8,Good,22.1,70,Low,3.3,None,Student,0,0
7528,30,Female,UK,0.7,70.3,7.0,Good,26.8,54,Low,11.5,None,Service,0,1
7529,18,Female,Spain,2.3,221.5,6.5,Good,24.5,73,Low,12.1,None,Student,1,0
7530,18,Male,Germany,2.8,265.3,6.6,Good,25.5,73,Low,0.1,None,Office,1,0
7531,50,Female,Japan,2.8,263.3,6.5,Good,27.9,62,Low,0.5,None,Office,0,1
7532,42,Female,UK,3.7,353.1,4.7,Poor,25.8,82,High,13.8,Mild,Service,0,0
7533,36,Male,Australia,1.9,178.6,9.1,Excellent,27.0,71,Low,8.5,None,Student,0,0
7534,29,Male,USA,5.0,470.6,7.0,Good,30.1,62,Low,4.3,Mild,Service,0,0
7535,28,Male,Belgium,1.9,181.4,6.9,Good,19.1,78,Low,2.8,None,Office,0,0
7536,22,Male,Finland,0.8,75.9,6.6,Good,21.5,51,Low,12.3,None,Student,0,1
7537,29,Female,Canada,2.2,205.2,6.5,Good,21.9,54,Low,2.9,None,Healthcare,0,0
7538,18,Male,China,2.9,273.7,6.9,Good,29.2,57,Low,12.7,None,Service,0,0
7539,26,Female,Switzerland,0.7,69.5,8.6,Excellent,23.9,72,Low,9.3,None,Office,0,0
7540,31,Female,Spain,2.0,193.7,5.9,Fair,21.1,77,Medium,9.9,Mild,Office,0,1
7541,42,Female,Belgium,0.6,60.8,7.2,Good,20.1,61,Low,6.6,None,Healthcare,0,0
7542,34,Male,Finland,3.6,337.7,4.5,Poor,26.9,75,High,0.5,Mild,Service,0,1
7543,44,Male,Mexico,2.2,212.2,7.6,Good,25.3,84,Low,8.3,None,Other,0,0
7544,51,Male,Netherlands,0.0,0.0,7.4,Good,18.1,64,Low,10.7,Mild,Other,0,0
7545,47,Male,South Korea,4.1,385.4,6.3,Good,21.6,58,Low,0.0,None,Office,0,0
7546,40,Male,France,0.7,70.7,4.3,Poor,16.1,93,High,0.4,Mild,Other,0,0
7547,35,Female,Spain,6.5,617.5,5.3,Fair,27.3,75,Medium,13.6,Mild,Office,0,0
7548,23,Male,Italy,1.5,140.1,5.7,Fair,24.1,58,Medium,10.2,Mild,Other,0,1
7549,43,Female,Mexico,1.6,155.1,5.7,Fair,23.3,65,Medium,11.9,Mild,Office,0,0
7550,55,Male,Australia,2.7,260.4,4.4,Poor,18.3,50,High,0.4,Moderate,Student,0,0
7551,39,Female,Netherlands,0.0,0.0,6.6,Good,21.5,59,Low,6.0,None,Healthcare,0,0
7552,58,Female,Mexico,3.2,300.3,8.7,Excellent,26.5,72,Low,11.2,Mild,Office,0,0
7553,18,Male,Norway,3.6,337.4,7.3,Good,22.8,74,Low,1.4,None,Other,0,0
7554,21,Female,Japan,3.9,366.6,6.5,Good,21.9,54,Low,2.8,None,Service,1,0
7555,45,Female,Switzerland,2.9,277.5,7.2,Good,30.7,75,Low,7.6,Mild,Other,0,1
7556,38,Female,USA,2.6,250.5,9.2,Excellent,17.6,67,Low,13.4,None,Healthcare,0,0
7557,50,Female,Australia,0.2,21.3,5.8,Fair,21.4,73,Medium,4.9,Mild,Other,0,0
7558,34,Male,Canada,3.2,307.8,5.6,Fair,20.6,85,Medium,12.4,Mild,Other,0,0
7559,24,Male,USA,2.4,231.5,6.0,Good,26.2,79,Low,0.1,None,Service,0,0
7560,32,Male,Spain,1.9,176.6,5.0,Fair,25.1,70,Medium,2.7,Mild,Office,0,1
7561,18,Female,Germany,1.0,90.3,7.2,Good,23.7,66,Low,4.4,None,Student,1,1
7562,21,Other,Spain,3.2,305.9,6.1,Good,19.5,62,Low,10.6,None,Service,0,1
7563,46,Female,Brazil,2.0,191.5,7.4,Good,25.0,57,Low,8.7,None,Healthcare,0,1
7564,45,Male,France,0.0,0.0,8.0,Good,16.5,61,Low,4.0,None,Service,0,1
7565,39,Female,USA,2.2,205.7,8.3,Excellent,22.6,78,Low,8.7,None,Office,0,0
7566,18,Female,India,1.3,127.7,7.7,Good,21.6,68,Low,13.3,None,Healthcare,1,1
7567,30,Male,Japan,3.8,362.3,6.0,Fair,27.5,54,Medium,7.0,Mild,Student,0,0
7568,20,Male,Canada,2.3,213.9,6.1,Good,26.3,65,Low,10.4,None,Student,1,0
7569,49,Male,Australia,2.1,200.1,5.5,Fair,26.2,83,Medium,5.2,Mild,Other,1,1
7570,27,Female,Australia,3.0,281.5,6.6,Good,24.6,68,Low,10.7,None,Other,0,1
7571,21,Female,South Korea,5.0,476.2,6.7,Good,29.0,58,Low,13.0,None,Healthcare,0,0
7572,35,Male,USA,3.1,295.4,4.7,Poor,27.1,74,High,8.5,Mild,Student,0,0
7573,27,Male,Brazil,1.3,125.0,8.2,Excellent,19.8,72,Low,5.8,None,Office,0,1
7574,52,Female,Canada,0.2,15.6,7.0,Good,22.2,63,Low,11.3,Mild,Healthcare,1,1
7575,26,Female,Finland,4.5,427.1,5.9,Fair,26.5,75,Medium,14.3,Mild,Other,0,0
7576,18,Female,Belgium,0.0,0.0,5.8,Fair,24.9,72,Medium,1.0,Mild,Other,0,0
7577,18,Female,Australia,2.5,234.4,8.3,Excellent,23.9,71,Low,7.7,None,Other,0,0
7578,34,Male,Netherlands,6.0,572.3,6.7,Good,25.4,86,Low,2.7,None,Service,0,0
7579,28,Female,South Korea,0.0,0.0,8.0,Excellent,16.4,72,Low,4.1,None,Student,0,1
7580,18,Male,France,0.8,78.3,6.7,Good,25.6,69,Low,9.5,None,Service,0,0
7581,49,Female,South Korea,2.8,265.9,8.5,Excellent,28.5,72,Low,14.4,None,Healthcare,1,0
7582,43,Male,France,1.3,122.7,7.8,Good,27.0,72,Low,12.8,None,Service,0,1
7583,34,Female,France,2.3,221.0,8.2,Excellent,34.6,75,Low,3.9,Mild,Student,1,0
7584,51,Male,Brazil,3.1,298.1,7.9,Good,25.8,70,Low,0.4,Mild,Healthcare,1,0
7585,42,Female,Finland,3.4,318.6,5.7,Fair,23.4,86,Medium,9.0,Mild,Student,0,1
7586,25,Male,USA,4.2,395.4,6.6,Good,30.1,61,Low,8.0,Mild,Student,0,0
7587,22,Male,Australia,0.1,12.1,8.6,Excellent,20.5,78,Low,6.9,None,Office,0,0
7588,44,Female,Netherlands,4.4,417.9,6.9,Good,22.1,67,Low,7.1,None,Office,0,0
7589,39,Male,Australia,4.5,429.4,5.1,Fair,23.7,72,Medium,8.9,Mild,Office,0,0
7590,37,Female,France,3.8,358.0,6.5,Good,20.7,83,Low,6.0,None,Other,0,1
7591,24,Female,Netherlands,0.8,76.2,7.9,Good,26.7,76,Low,2.6,None,Service,0,0
7592,42,Female,Spain,0.7,68.9,5.1,Fair,27.5,71,Medium,3.9,Mild,Office,0,0
7593,25,Female,UK,2.9,279.8,5.4,Fair,22.1,70,Medium,1.0,Mild,Healthcare,0,1
7594,33,Female,Germany,3.5,329.2,4.8,Poor,25.3,60,High,0.8,Mild,Other,0,0
7595,52,Female,France,4.3,405.0,6.9,Good,25.2,85,Low,13.0,Mild,Office,0,1
7596,27,Female,Switzerland,1.8,169.0,8.6,Excellent,25.4,72,Low,1.9,None,Service,0,1
7597,18,Male,South Korea,3.4,326.8,4.0,Poor,23.0,76,High,1.0,Mild,Other,0,0
7598,22,Male,UK,3.4,319.0,6.7,Good,21.1,85,Low,12.4,None,Other,0,1
7599,46,Female,Mexico,1.5,144.2,6.0,Good,29.6,67,Low,14.3,None,Healthcare,0,0
7600,38,Male,Mexico,1.8,174.7,8.8,Excellent,21.0,59,Low,3.1,None,Student,0,0
7601,33,Male,Brazil,0.1,10.0,7.2,Good,22.6,63,Low,11.4,None,Healthcare,0,1
7602,28,Male,Canada,0.9,85.9,7.9,Good,27.9,59,Low,2.4,None,Service,0,0
7603,40,Male,China,1.6,147.7,8.4,Excellent,23.9,87,Low,10.2,None,Service,1,1
7604,24,Female,Norway,3.3,311.9,6.7,Good,33.1,67,Low,10.2,Mild,Service,0,0
7605,38,Female,India,5.9,559.9,4.0,Poor,20.2,54,High,6.4,Mild,Other,0,1
7606,26,Other,Switzerland,3.2,306.6,6.4,Good,20.8,57,Low,13.2,None,Service,0,0
7607,24,Female,India,0.6,60.1,7.2,Good,23.0,91,Low,1.8,None,Healthcare,1,0
7608,27,Male,Netherlands,1.8,169.5,5.3,Fair,27.4,73,Medium,7.1,Mild,Other,0,0
7609,30,Male,Norway,4.1,387.2,4.1,Poor,24.3,80,High,9.0,Mild,Healthcare,0,1
7610,34,Male,China,1.3,123.1,5.1,Fair,26.2,57,Medium,11.4,Mild,Office,0,0
7611,37,Female,Canada,4.7,451.1,7.9,Good,30.5,83,Low,2.1,Mild,Office,1,0
7612,18,Male,South Korea,3.5,335.0,5.1,Fair,15.4,59,Medium,8.0,Mild,Office,0,1
7613,25,Male,India,2.1,201.7,10.0,Excellent,17.3,68,Low,6.8,None,Healthcare,0,1
7614,30,Female,Australia,0.0,0.0,8.7,Excellent,21.5,72,Low,6.2,None,Student,1,0
7615,53,Female,Sweden,4.0,381.1,7.5,Good,23.3,72,Low,5.4,Mild,Healthcare,1,0
7616,22,Male,Mexico,3.5,329.2,4.6,Poor,18.7,73,High,15.0,Mild,Office,0,0
7617,36,Male,Germany,3.2,304.8,8.2,Excellent,29.3,63,Low,2.6,None,Student,0,0
7618,52,Female,Netherlands,6.5,618.7,5.4,Fair,24.5,71,Medium,11.3,Moderate,Other,1,1
7619,19,Female,USA,1.1,104.1,4.6,Poor,29.1,59,High,5.7,Mild,Service,0,0
7620,39,Male,China,4.8,454.3,6.6,Good,23.6,86,Low,9.7,None,Student,1,1
7621,25,Male,Sweden,2.2,210.9,7.2,Good,23.6,69,Low,14.8,None,Office,0,0
7622,28,Female,Norway,2.9,273.9,5.6,Fair,19.9,60,Medium,7.2,Mild,Student,0,1
7623,25,Female,Belgium,3.0,282.0,5.8,Fair,23.9,89,Medium,12.4,Mild,Service,0,0
7624,26,Female,USA,3.8,356.4,6.2,Good,28.6,67,Low,1.1,None,Other,0,0
7625,67,Female,Sweden,1.4,135.7,6.5,Good,26.3,78,Low,8.3,Mild,Healthcare,0,1
7626,45,Female,France,6.1,578.6,7.0,Good,26.6,67,Low,5.7,None,Student,0,1
7627,48,Male,Sweden,0.8,80.0,6.5,Good,22.1,71,Low,10.5,None,Office,0,0
7628,40,Male,Netherlands,2.0,186.7,8.7,Excellent,20.3,77,Low,0.6,None,Service,0,0
7629,18,Female,Finland,5.3,500.2,6.6,Good,21.6,70,Low,6.7,None,Student,0,0
7630,39,Female,Norway,4.3,405.6,4.4,Poor,25.9,77,High,7.4,Mild,Student,0,1
7631,47,Female,Italy,2.0,186.7,8.1,Excellent,19.7,82,Low,12.7,None,Student,0,1
7632,24,Male,Japan,3.5,334.4,5.5,Fair,23.1,62,Medium,5.8,Mild,Office,1,0
7633,46,Female,South Korea,0.9,84.0,8.2,Excellent,20.9,53,Low,4.8,None,Student,0,0
7634,43,Male,Australia,1.3,122.0,7.2,Good,20.1,66,Low,5.8,None,Student,0,0
7635,57,Female,UK,2.0,185.6,5.7,Fair,27.5,79,Medium,6.6,Moderate,Other,0,1
7636,29,Male,China,4.6,440.8,5.8,Fair,24.3,67,Medium,3.8,Mild,Office,0,0
7637,21,Female,USA,0.0,0.0,7.5,Good,28.2,81,Low,0.7,None,Student,0,0
7638,30,Female,Spain,3.8,363.0,6.8,Good,22.6,77,Low,14.9,None,Service,0,0
7639,52,Male,India,1.9,181.1,7.9,Good,28.1,77,Low,11.5,Mild,Healthcare,0,1
7640,18,Male,India,3.4,326.0,7.0,Good,26.8,70,Low,14.8,None,Healthcare,0,0
7641,18,Female,Belgium,3.4,320.7,6.5,Good,20.9,65,Low,9.9,None,Other,0,0
7642,36,Female,Canada,2.5,233.7,6.8,Good,28.1,69,Low,13.2,None,Office,0,0
7643,29,Male,Brazil,1.4,129.8,6.6,Good,20.9,70,Low,6.8,None,Service,1,0
7644,35,Male,Italy,1.5,142.5,7.4,Good,29.4,70,Low,5.2,None,Office,0,1
7645,46,Male,Switzerland,2.0,192.8,7.2,Good,30.0,72,Low,14.9,None,Healthcare,0,0
7646,28,Female,France,0.1,5.8,7.3,Good,25.2,66,Low,2.5,None,Service,0,1
7647,18,Male,Norway,2.6,250.2,9.4,Excellent,23.6,67,Low,3.3,None,Healthcare,1,0
7648,59,Male,Brazil,1.4,136.9,7.2,Good,19.9,81,Low,10.0,Mild,Healthcare,0,0
7649,23,Female,France,1.8,171.5,8.2,Excellent,32.7,61,Low,3.8,Mild,Office,1,0
7650,22,Female,Mexico,2.2,208.2,5.9,Fair,18.4,69,Medium,6.5,Mild,Student,1,0
7651,48,Male,India,3.6,344.4,6.5,Good,18.5,87,Low,14.0,None,Other,1,0
7652,30,Other,Netherlands,4.4,413.9,3.8,Poor,21.0,70,High,4.0,Mild,Service,0,1
7653,34,Female,South Korea,4.6,433.1,6.4,Good,25.8,81,Low,7.7,None,Other,0,1
7654,40,Female,Japan,3.1,296.0,5.8,Fair,15.0,66,Medium,11.1,Mild,Service,1,0
7655,48,Male,Australia,1.9,182.0,5.9,Fair,20.5,60,Medium,1.1,Mild,Healthcare,0,1
7656,30,Female,Norway,0.5,51.1,7.2,Good,23.5,88,Low,1.1,None,Service,0,0
7657,53,Male,Netherlands,6.2,585.3,5.6,Fair,31.0,63,Medium,11.2,Severe,Service,0,0
7658,18,Male,Sweden,5.2,491.3,4.4,Poor,22.6,72,High,13.8,Mild,Office,0,0
7659,44,Male,Norway,3.8,364.6,6.2,Good,23.0,87,Low,8.9,None,Other,0,0
7660,24,Female,France,3.5,331.3,10.0,Excellent,29.1,60,Low,0.6,None,Other,0,0
7661,51,Female,Netherlands,2.0,187.1,7.2,Good,23.1,77,Low,6.8,Mild,Service,0,1
7662,36,Female,China,2.7,256.1,6.9,Good,18.1,76,Low,10.8,None,Student,0,1
7663,26,Male,India,3.9,368.7,5.1,Fair,25.8,72,Medium,9.5,Mild,Student,1,1
7664,42,Female,France,0.0,0.0,5.5,Fair,16.8,87,Medium,3.0,Mild,Other,0,0
7665,45,Female,UK,1.6,150.3,5.6,Fair,24.2,73,Medium,0.8,Mild,Service,1,0
7666,42,Male,France,2.5,239.0,7.0,Good,27.7,72,Low,13.3,None,Other,1,1
7667,22,Female,Finland,0.0,0.0,5.5,Fair,22.3,61,Medium,3.4,Mild,Office,0,0
7668,29,Male,Japan,0.3,25.5,8.7,Excellent,21.8,69,Low,14.9,None,Healthcare,0,0
7669,34,Female,Belgium,1.5,143.7,5.4,Fair,28.1,76,Medium,1.7,Mild,Office,1,1
7670,34,Male,Switzerland,2.6,249.8,7.6,Good,23.5,79,Low,1.7,None,Healthcare,0,0
7671,43,Female,France,4.8,452.7,6.6,Good,22.1,79,Low,10.0,None,Service,0,0
7672,18,Female,Australia,1.8,173.8,8.5,Excellent,24.6,54,Low,4.1,None,Service,1,1
7673,39,Other,Norway,5.3,505.6,4.9,Poor,30.3,72,High,14.6,Moderate,Office,0,0
7674,31,Male,Belgium,1.4,133.9,10.0,Excellent,21.4,62,Low,3.6,None,Office,0,0
7675,24,Male,France,2.3,219.6,6.9,Good,23.7,56,Low,9.4,None,Student,0,0
7676,26,Male,South Korea,0.3,26.5,8.4,Excellent,15.9,64,Low,6.1,None,Office,0,0
7677,32,Female,China,1.8,175.4,7.2,Good,28.8,66,Low,1.4,None,Other,0,0
7678,18,Female,Italy,0.0,0.0,5.7,Fair,20.7,60,Medium,10.6,Mild,Healthcare,0,1
7679,26,Male,France,7.6,720.0,4.9,Poor,25.1,74,High,11.9,Mild,Student,1,0
7680,24,Male,Canada,0.9,88.6,6.9,Good,30.5,77,Low,12.4,Mild,Other,0,1
7681,41,Female,Brazil,3.0,288.7,5.6,Fair,24.6,76,Medium,7.3,Mild,Other,0,0
7682,25,Female,France,1.8,169.5,6.9,Good,29.4,66,Low,14.6,None,Office,0,0
7683,32,Male,Norway,2.1,204.0,7.7,Good,28.3,79,Low,12.0,None,Student,1,0
7684,53,Male,Australia,2.4,226.6,8.2,Excellent,25.6,64,Low,6.6,Mild,Service,0,0
7685,46,Male,Spain,3.9,372.8,8.4,Excellent,15.0,87,Low,1.5,None,Service,0,0
7686,45,Female,Spain,3.3,309.9,6.5,Good,15.0,73,Low,3.8,None,Office,0,0
7687,29,Female,India,2.9,272.0,6.1,Good,29.2,80,Low,11.6,None,Healthcare,0,1
7688,41,Female,Belgium,3.4,320.1,4.4,Poor,25.5,67,High,13.2,Mild,Office,1,1
7689,32,Male,India,3.1,290.4,3.7,Poor,25.3,69,High,9.9,Mild,Healthcare,0,1
7690,32,Female,Finland,0.6,55.6,6.8,Good,22.2,71,Low,5.8,None,Other,0,0
7691,39,Male,Netherlands,2.1,202.1,8.2,Excellent,22.4,69,Low,5.3,None,Student,0,0
7692,27,Male,Spain,3.5,334.9,6.6,Good,23.2,67,Low,5.4,None,Service,0,0
7693,52,Other,Netherlands,1.6,152.7,7.3,Good,22.2,57,Low,7.4,Mild,Other,0,0
7694,33,Male,France,3.0,288.4,5.3,Fair,25.5,65,Medium,10.9,Mild,Office,0,0
7695,42,Male,France,4.2,394.6,5.8,Fair,26.8,61,Medium,2.4,Mild,Student,0,0
7696,52,Other,Sweden,1.5,138.6,8.2,Excellent,20.2,53,Low,0.3,Mild,Service,0,1
7697,47,Male,China,4.0,382.6,6.9,Good,27.2,73,Low,1.1,None,Other,0,0
7698,18,Female,Finland,2.3,222.4,6.1,Good,24.5,63,Low,10.0,None,Office,0,0
7699,40,Female,China,2.6,247.9,7.4,Good,23.6,83,Low,12.7,None,Healthcare,0,0
7700,45,Female,Brazil,3.8,358.1,6.6,Good,25.0,64,Low,6.1,None,Student,1,0
7701,45,Male,Brazil,3.4,322.0,7.8,Good,19.7,62,Low,5.1,None,Healthcare,0,0
7702,21,Male,Belgium,0.0,0.0,7.6,Good,21.4,80,Low,0.3,None,Student,0,0
7703,27,Male,Italy,0.0,0.0,6.6,Good,15.0,75,Low,0.9,None,Healthcare,0,1
7704,46,Male,Mexico,3.3,313.3,6.2,Good,25.4,81,Low,11.3,None,Other,1,0
7705,25,Female,UK,2.3,217.4,5.0,Fair,23.9,68,Medium,1.3,Mild,Service,0,0
7706,31,Male,Canada,0.1,9.1,5.0,Fair,23.4,53,Medium,12.4,Mild,Office,0,1
7707,53,Male,Norway,1.5,143.6,6.2,Good,23.2,76,Low,11.7,Mild,Service,0,0
7708,34,Female,Canada,0.0,0.0,8.6,Excellent,25.6,79,Low,12.3,None,Student,0,1
7709,26,Female,Spain,2.3,222.5,7.2,Good,21.3,68,Low,10.3,None,Healthcare,0,0
7710,24,Female,UK,4.4,416.8,6.0,Fair,25.0,88,Medium,0.3,Mild,Service,0,0
7711,38,Male,Germany,1.4,135.6,7.6,Good,28.2,76,Low,6.7,None,Office,0,0
7712,19,Female,Netherlands,2.9,272.5,7.9,Good,16.5,71,Low,2.4,None,Office,0,0
7713,32,Female,Australia,2.3,222.6,5.9,Fair,23.0,77,Medium,5.1,Mild,Service,0,0
7714,38,Male,Belgium,4.9,465.7,5.5,Fair,20.7,63,Medium,8.4,Mild,Healthcare,1,0
7715,50,Male,Finland,4.4,418.2,10.0,Excellent,28.4,73,Low,11.0,None,Student,0,0
7716,43,Male,Brazil,0.1,11.1,5.9,Fair,25.6,56,Medium,3.5,Mild,Other,0,1
7717,26,Female,Mexico,2.2,210.2,6.0,Good,26.9,72,Low,5.0,None,Healthcare,0,1
7718,49,Male,USA,1.2,111.3,6.4,Good,26.9,72,Low,3.1,None,Other,1,0
7719,31,Female,India,1.6,151.9,5.6,Fair,30.9,72,Medium,14.8,Moderate,Service,1,0
7720,20,Female,Belgium,3.7,349.4,4.1,Poor,25.3,70,High,13.9,Mild,Service,0,0
7721,32,Female,Belgium,2.8,265.0,6.7,Good,20.6,61,Low,9.8,None,Service,1,0
7722,52,Male,Spain,3.7,347.4,5.7,Fair,25.8,92,Medium,12.4,Moderate,Student,1,1
7723,36,Male,USA,0.0,0.0,7.5,Good,22.3,60,Low,10.8,None,Service,0,0
7724,35,Male,Mexico,3.9,370.1,5.4,Fair,25.5,60,Medium,12.7,Mild,Healthcare,1,1
7725,54,Male,South Korea,3.1,298.5,8.0,Excellent,24.1,70,Low,14.0,Mild,Healthcare,1,0
7726,18,Female,China,4.9,466.5,6.2,Good,20.5,71,Low,14.0,None,Student,1,1
7727,19,Male,Japan,1.6,150.5,5.8,Fair,23.1,72,Medium,8.6,Mild,Office,0,0
7728,18,Male,Canada,4.1,390.8,5.6,Fair,17.1,79,Medium,14.5,Mild,Other,0,1
7729,39,Male,China,2.9,279.1,6.3,Good,22.6,61,Low,6.1,None,Healthcare,0,1
7730,36,Male,South Korea,2.7,256.5,8.2,Excellent,23.3,84,Low,2.9,None,Healthcare,0,0
7731,53,Female,Canada,1.8,168.0,6.0,Good,18.9,67,Low,3.5,Mild,Service,0,0
7732,37,Female,India,2.4,224.0,4.7,Poor,22.2,55,High,6.9,Mild,Office,1,0
7733,30,Female,USA,1.0,97.9,8.9,Excellent,31.7,75,Low,3.8,Mild,Service,0,0
7734,35,Male,France,1.9,180.8,4.5,Poor,26.1,69,High,1.9,Mild,Student,1,0
7735,36,Female,Finland,1.6,153.3,9.6,Excellent,18.8,72,Low,6.0,None,Other,0,1
7736,18,Female,USA,2.1,196.7,4.5,Poor,22.3,79,High,8.7,Mild,Other,1,1
7737,67,Male,UK,2.2,211.6,6.2,Good,19.9,83,Low,14.5,Mild,Service,0,0
7738,41,Male,Mexico,2.3,215.2,6.1,Good,27.4,62,Low,9.3,None,Other,1,0
7739,37,Female,Italy,2.5,236.4,7.7,Good,20.7,50,Low,11.6,None,Other,0,0
7740,42,Female,Australia,2.5,235.0,7.5,Good,22.0,67,Low,10.2,None,Office,1,1
7741,43,Female,India,2.7,252.9,8.9,Excellent,27.9,65,Low,5.8,None,Healthcare,0,0
7742,33,Male,Norway,2.5,233.2,4.8,Poor,25.3,68,High,2.8,Mild,Student,1,0
7743,27,Male,UK,2.1,199.0,4.6,Poor,23.3,55,High,4.2,Mild,Office,0,0
7744,42,Female,Switzerland,3.1,298.8,7.8,Good,24.1,67,Low,13.1,None,Office,1,0
7745,39,Female,Spain,4.3,410.3,9.1,Excellent,21.1,64,Low,2.3,None,Service,0,0
7746,25,Female,Switzerland,2.0,189.7,8.2,Excellent,30.2,60,Low,1.5,Mild,Service,0,0
7747,52,Female,Belgium,1.7,161.3,7.6,Good,19.9,53,Low,12.8,Mild,Service,0,1
7748,38,Male,Belgium,3.1,291.2,8.0,Good,25.6,67,Low,8.2,None,Student,0,1
7749,43,Female,Japan,2.7,252.9,5.0,Poor,26.4,82,High,10.2,Mild,Service,0,0
7750,51,Female,Brazil,1.0,99.7,6.6,Good,30.5,66,Low,12.4,Moderate,Healthcare,0,0
7751,35,Female,Italy,1.4,130.4,6.8,Good,23.3,51,Low,5.1,None,Student,1,1
7752,38,Male,Spain,1.6,152.8,6.6,Good,19.8,87,Low,11.3,None,Other,0,0
7753,44,Male,France,0.9,89.8,7.5,Good,25.4,52,Low,9.5,None,Student,0,1
7754,26,Female,China,3.2,300.0,6.5,Good,20.4,70,Low,0.4,None,Other,0,0
7755,35,Female,USA,3.6,346.5,5.9,Fair,21.1,65,Medium,10.8,Mild,Office,0,0
7756,36,Female,Netherlands,1.3,121.9,5.4,Fair,18.7,64,Medium,5.2,Mild,Other,0,0
7757,23,Female,Switzerland,0.5,43.6,6.8,Good,20.8,64,Low,3.1,None,Student,0,1
7758,62,Female,Norway,2.8,262.1,5.0,Fair,23.1,76,Medium,14.4,Moderate,Healthcare,0,1
7759,18,Female,China,2.5,241.9,6.5,Good,19.7,70,Low,11.5,None,Healthcare,0,0
7760,19,Male,France,6.0,565.5,6.5,Good,21.8,81,Low,0.4,None,Other,0,1
7761,50,Male,India,3.5,332.6,5.7,Fair,26.7,94,Medium,11.4,Mild,Student,0,0
7762,43,Male,Netherlands,0.8,76.9,7.8,Good,25.1,77,Low,12.8,None,Other,0,0
7763,22,Female,Japan,1.1,101.9,8.1,Excellent,27.3,76,Low,5.3,None,Other,0,0
7764,42,Male,Canada,3.0,282.4,6.0,Fair,26.9,68,Medium,4.9,Mild,Office,0,0
7765,52,Male,Canada,2.4,229.7,6.2,Good,24.7,79,Low,6.4,Mild,Student,0,1
7766,34,Female,India,2.3,221.8,7.5,Good,22.8,73,Low,7.0,None,Other,0,0
7767,66,Female,Germany,2.6,247.0,5.4,Fair,23.9,65,Medium,5.7,Moderate,Service,1,0
7768,18,Female,Brazil,3.7,348.0,5.1,Fair,21.1,71,Medium,7.6,Mild,Service,0,0
7769,43,Male,Italy,5.3,501.7,5.8,Fair,19.7,67,Medium,14.6,Mild,Service,1,0
7770,48,Female,UK,4.5,426.9,6.3,Good,27.4,79,Low,0.5,None,Other,0,0
7771,45,Male,Switzerland,1.0,92.9,6.2,Good,27.0,56,Low,14.7,None,Student,0,0
7772,32,Male,China,1.7,161.3,7.4,Good,25.4,70,Low,12.7,None,Office,0,1
7773,31,Male,Switzerland,0.0,0.0,5.4,Fair,23.2,77,Medium,12.0,Mild,Service,0,0
7774,40,Male,China,2.8,267.6,7.1,Good,25.0,83,Low,6.8,None,Other,0,0
7775,44,Male,Canada,1.7,162.7,6.1,Good,27.6,68,Low,1.1,None,Other,0,0
7776,42,Female,USA,2.5,234.7,8.5,Excellent,19.1,78,Low,9.3,None,Student,0,0
7777,47,Male,Belgium,1.3,120.2,7.9,Good,23.4,81,Low,13.4,None,Other,1,0
7778,22,Female,UK,1.2,118.7,7.0,Good,28.8,69,Low,6.4,None,Student,0,0
7779,32,Male,Italy,0.2,18.0,6.9,Good,24.5,84,Low,1.0,None,Office,0,0
7780,23,Male,Netherlands,2.0,192.0,6.1,Good,27.1,67,Low,0.1,None,Office,0,0
7781,30,Female,Belgium,3.4,318.6,3.3,Poor,30.8,58,High,1.8,Moderate,Other,0,1
7782,47,Female,Italy,1.5,141.5,6.9,Good,28.9,63,Low,9.1,None,Healthcare,1,0
7783,36,Female,Australia,3.5,330.4,7.8,Good,19.1,70,Low,14.9,None,Office,1,1
7784,66,Female,Netherlands,1.5,139.0,5.6,Fair,28.5,78,Medium,10.7,Moderate,Student,0,1
7785,37,Female,China,2.5,237.6,5.6,Fair,25.5,57,Medium,2.4,Mild,Other,0,1
7786,35,Female,Mexico,4.5,430.7,6.4,Good,28.4,72,Low,12.9,None,Healthcare,0,0
7787,36,Female,Finland,1.8,168.0,5.2,Fair,15.0,86,Medium,9.9,Mild,Office,0,0
7788,27,Female,Norway,2.8,269.6,5.7,Fair,26.9,67,Medium,4.5,Mild,Student,1,0
7789,34,Male,Sweden,2.9,274.5,6.0,Good,25.4,76,Low,7.5,None,Other,1,0
7790,48,Female,China,2.9,276.4,6.7,Good,25.7,71,Low,6.0,None,Student,0,0
7791,36,Male,Switzerland,3.3,313.0,9.0,Excellent,19.6,71,Low,13.1,None,Other,1,0
7792,25,Male,Sweden,2.9,272.6,6.5,Good,25.1,61,Low,14.3,None,Healthcare,0,0
7793,23,Female,Japan,1.0,91.2,7.3,Good,26.6,58,Low,1.9,None,Student,0,1
7794,29,Male,UK,1.9,178.6,6.6,Good,30.2,72,Low,2.2,Mild,Student,0,0
7795,35,Male,Finland,3.4,319.5,6.9,Good,26.0,77,Low,1.2,None,Office,0,0
7796,49,Male,Canada,3.6,337.9,6.6,Good,26.4,76,Low,5.7,None,Student,0,1
7797,18,Female,Japan,1.4,131.6,8.0,Good,24.0,77,Low,14.6,None,Office,0,0
7798,31,Male,Italy,4.0,376.1,8.4,Excellent,18.7,76,Low,14.8,None,Student,0,0
7799,36,Male,Belgium,1.8,169.5,6.6,Good,27.0,69,Low,8.9,None,Student,0,1
7800,18,Female,Germany,3.0,284.9,6.1,Good,24.2,64,Low,7.0,None,Office,1,0
7801,24,Male,France,2.8,265.3,9.4,Excellent,29.5,80,Low,4.5,None,Office,0,0
7802,26,Male,Netherlands,1.1,107.4,8.9,Excellent,21.2,63,Low,0.0,None,Office,1,0
7803,25,Male,Germany,2.1,198.4,7.1,Good,26.4,71,Low,3.9,None,Healthcare,0,1
7804,37,Male,Spain,0.0,0.0,8.5,Excellent,23.3,50,Low,2.2,None,Other,0,1
7805,33,Male,Germany,1.9,181.4,8.7,Excellent,29.3,86,Low,0.0,None,Service,0,0
7806,28,Male,Finland,4.4,413.3,6.1,Good,21.6,67,Low,13.4,None,Other,0,0
7807,40,Male,Canada,0.0,0.0,8.2,Excellent,24.7,51,Low,1.3,None,Other,0,0
7808,55,Female,Finland,1.2,113.7,7.0,Good,23.3,84,Low,10.6,Mild,Other,1,0
7809,54,Female,Japan,1.8,171.8,7.0,Good,28.8,70,Low,13.9,Mild,Healthcare,1,0
7810,18,Female,Spain,0.0,0.0,8.0,Good,25.9,69,Low,1.9,None,Other,1,0
7811,41,Male,USA,0.0,0.0,9.1,Excellent,16.8,86,Low,3.6,None,Healthcare,1,0
7812,32,Male,Netherlands,5.6,531.1,6.8,Good,20.1,68,Low,3.5,None,Service,0,1
7813,36,Female,Germany,3.4,321.1,7.6,Good,15.0,85,Low,1.3,None,Service,0,0
7814,30,Male,China,4.0,379.9,7.5,Good,26.7,59,Low,13.6,None,Office,1,1
7815,36,Female,Germany,3.0,287.4,8.2,Excellent,15.0,75,Low,12.7,None,Other,0,1
7816,36,Male,Mexico,3.4,320.1,7.2,Good,26.2,74,Low,5.7,None,Other,0,0
7817,28,Female,Spain,2.0,192.1,7.0,Good,22.8,78,Low,11.5,None,Office,0,0
7818,24,Male,Switzerland,4.1,386.1,6.0,Good,28.9,62,Low,7.6,None,Healthcare,0,0
7819,29,Male,France,4.7,441.8,7.1,Good,20.3,56,Low,10.2,None,Other,1,0
7820,37,Female,Finland,1.5,141.1,6.4,Good,22.0,93,Low,10.3,None,Other,0,1
7821,42,Female,China,2.1,202.2,6.8,Good,24.6,81,Low,11.6,None,Service,0,1
7822,45,Male,Switzerland,1.6,154.8,5.6,Fair,19.7,68,Medium,13.5,Mild,Healthcare,0,0
7823,29,Female,Italy,2.4,225.3,9.2,Excellent,23.8,76,Low,11.8,None,Healthcare,0,0
7824,38,Male,USA,3.6,343.1,5.2,Fair,20.1,65,Medium,10.6,Mild,Service,0,1
7825,46,Male,Sweden,2.2,212.0,7.4,Good,26.3,72,Low,9.3,None,Healthcare,0,0
7826,48,Female,Belgium,0.0,0.0,6.1,Good,26.8,62,Low,3.1,None,Office,0,0
7827,34,Female,Sweden,4.0,375.7,4.8,Poor,28.0,70,High,4.2,Mild,Other,0,1
7828,32,Female,USA,1.4,128.6,7.4,Good,19.8,58,Low,1.1,None,Student,0,1
7829,37,Male,Australia,3.1,295.3,8.4,Excellent,27.6,88,Low,3.9,None,Office,1,0
7830,21,Male,Japan,3.3,309.2,5.6,Fair,18.0,70,Medium,8.2,Mild,Service,0,0
7831,32,Female,Netherlands,1.9,176.6,7.5,Good,19.0,64,Low,14.3,None,Service,0,0
7832,43,Male,China,1.1,107.0,9.1,Excellent,25.1,61,Low,1.9,None,Service,1,0
7833,42,Male,Switzerland,1.8,169.4,9.5,Excellent,18.7,87,Low,6.6,None,Student,1,0
7834,31,Male,Netherlands,4.9,465.0,6.0,Fair,28.6,72,Medium,11.3,Mild,Office,0,1
7835,37,Male,Canada,1.1,102.3,6.9,Good,27.3,84,Low,11.9,None,Student,0,1
7836,25,Male,China,0.8,80.6,7.1,Good,33.0,72,Low,2.9,Mild,Other,0,0
7837,43,Male,Netherlands,2.8,264.7,7.5,Good,22.3,77,Low,2.7,None,Service,1,1
7838,34,Female,Sweden,2.2,207.1,6.5,Good,26.1,73,Low,9.2,None,Student,0,0
7839,31,Female,Italy,1.9,179.1,7.6,Good,24.4,59,Low,13.7,None,Other,0,0
7840,30,Male,Switzerland,1.1,108.9,6.8,Good,23.6,83,Low,12.1,None,Other,0,0
7841,34,Male,Netherlands,2.5,234.5,5.8,Fair,29.8,74,Medium,5.8,Mild,Other,0,0
7842,29,Male,UK,2.3,214.5,7.3,Good,22.9,65,Low,9.9,None,Service,0,0
7843,42,Male,Japan,4.5,428.0,5.7,Fair,24.2,72,Medium,3.8,Mild,Healthcare,0,1
7844,30,Female,France,1.2,111.3,5.7,Fair,26.2,74,Medium,7.1,Mild,Other,1,0
7845,54,Other,Italy,1.8,168.2,6.8,Good,27.9,66,Low,8.0,Mild,Healthcare,0,1
7846,52,Female,Finland,4.4,420.5,5.4,Fair,21.4,64,Medium,9.6,Moderate,Other,0,0
7847,24,Female,Spain,1.7,163.8,6.4,Good,28.2,60,Low,6.0,None,Student,0,0
7848,35,Male,Germany,1.4,134.7,8.0,Excellent,26.8,68,Low,0.5,None,Other,1,0
7849,27,Male,Brazil,3.2,301.2,5.9,Fair,24.3,82,Medium,13.9,Mild,Service,0,0
7850,31,Female,Switzerland,2.7,260.1,5.2,Fair,22.5,65,Medium,14.3,Mild,Service,0,1
7851,59,Female,Brazil,2.0,193.4,7.5,Good,29.6,65,Low,10.3,Mild,Healthcare,1,0
7852,31,Female,Mexico,2.6,248.3,8.0,Excellent,29.5,68,Low,4.0,None,Healthcare,1,0
7853,39,Male,USA,3.2,305.1,6.1,Good,20.2,68,Low,8.9,None,Office,0,0
7854,41,Female,China,2.7,260.4,8.3,Excellent,18.5,74,Low,4.1,None,Student,0,1
7855,22,Male,India,3.4,319.7,7.3,Good,24.1,70,Low,10.5,None,Office,1,0
7856,24,Female,Belgium,2.2,210.7,8.5,Excellent,19.3,65,Low,5.4,None,Other,0,0
7857,20,Female,Brazil,1.0,90.8,5.8,Fair,21.2,72,Medium,8.4,Mild,Healthcare,0,0
7858,24,Male,Finland,3.3,318.2,4.4,Poor,19.4,80,High,0.9,Mild,Service,0,0
7859,18,Female,Spain,2.1,198.9,7.4,Good,27.9,77,Low,14.9,None,Student,0,1
7860,41,Other,Australia,2.1,195.2,6.8,Good,21.0,67,Low,9.9,None,Service,1,1
7861,59,Female,Netherlands,3.6,343.8,6.8,Good,22.5,77,Low,14.1,Mild,Healthcare,0,0
7862,36,Female,Brazil,5.0,474.1,6.8,Good,26.8,72,Low,11.2,None,Office,0,1
7863,18,Male,Belgium,0.0,0.0,8.9,Excellent,28.7,65,Low,8.4,None,Student,0,1
7864,27,Female,Sweden,2.0,192.5,6.0,Fair,22.2,52,Medium,11.0,Mild,Healthcare,1,1
7865,29,Male,Netherlands,2.4,226.6,8.7,Excellent,27.2,74,Low,7.0,None,Service,0,0
7866,22,Male,Spain,2.7,253.1,6.1,Good,28.0,69,Low,14.4,None,Other,1,0
7867,45,Male,Mexico,2.2,211.5,7.3,Good,19.9,79,Low,11.6,None,Other,0,1
7868,44,Female,Switzerland,2.4,224.9,7.2,Good,28.2,89,Low,1.8,None,Other,0,0
7869,21,Male,Australia,3.1,289.8,5.7,Fair,26.5,63,Medium,14.3,Mild,Office,0,0
7870,43,Male,Germany,2.2,209.7,7.3,Good,19.5,57,Low,8.6,None,Service,0,0
7871,53,Male,UK,1.7,161.6,5.6,Fair,25.0,59,Medium,6.8,Moderate,Student,0,0
7872,57,Female,Italy,1.7,157.4,4.5,Poor,19.4,74,High,11.9,Moderate,Healthcare,0,0
7873,69,Female,Netherlands,4.5,426.8,7.5,Good,21.7,68,Low,3.4,Mild,Other,0,0
7874,24,Male,USA,5.5,520.1,7.5,Good,22.7,74,Low,14.4,None,Other,0,0
7875,68,Female,China,2.0,189.3,5.0,Fair,27.7,69,Medium,2.5,Moderate,Office,0,0
7876,30,Male,Netherlands,2.0,192.3,6.4,Good,25.0,80,Low,4.4,None,Other,0,0
7877,27,Female,Spain,3.1,293.4,5.2,Fair,25.5,71,Medium,13.3,Mild,Office,1,1
7878,38,Female,Norway,2.7,256.5,7.4,Good,21.7,60,Low,9.1,None,Office,0,0
7879,28,Female,Australia,2.3,216.5,8.0,Excellent,23.3,63,Low,12.8,None,Office,0,0
7880,39,Male,Japan,0.6,59.4,5.9,Fair,18.1,79,Medium,3.0,Mild,Other,0,0
7881,19,Female,Japan,1.3,121.3,4.2,Poor,25.9,65,High,12.1,Mild,Other,1,0
7882,32,Female,India,3.5,336.1,7.1,Good,25.1,77,Low,2.7,None,Student,0,0
7883,50,Female,Sweden,2.1,197.8,7.4,Good,27.6,71,Low,11.1,None,Office,0,0
7884,34,Male,Canada,5.4,517.7,5.2,Fair,27.0,81,Medium,2.3,Mild,Healthcare,0,0
7885,36,Male,Germany,5.4,511.6,5.6,Fair,15.7,86,Medium,5.1,Mild,Service,0,0
7886,40,Female,India,1.1,106.7,5.9,Fair,21.2,63,Medium,7.1,Mild,Office,0,0
7887,49,Male,Canada,4.5,425.8,6.3,Good,32.8,83,Low,13.8,Mild,Healthcare,0,0
7888,18,Female,Finland,2.3,218.5,7.7,Good,24.5,61,Low,11.0,None,Office,0,0
7889,42,Male,Brazil,2.7,258.2,7.1,Good,29.9,79,Low,4.2,None,Other,0,0
7890,31,Female,Brazil,3.6,337.7,7.1,Good,24.0,67,Low,6.7,None,Other,0,0
7891,36,Male,USA,4.0,380.4,4.9,Poor,22.7,50,High,5.3,Mild,Student,0,1
7892,47,Male,Finland,1.4,134.7,6.1,Good,19.6,91,Low,14.1,None,Student,1,0
7893,20,Male,Italy,5.8,549.5,7.6,Good,24.8,71,Low,2.6,None,Office,1,0
7894,22,Male,Canada,2.9,277.3,5.1,Fair,22.0,78,Medium,13.7,Mild,Other,0,0
7895,18,Female,Germany,0.0,0.0,6.0,Good,27.1,67,Low,12.4,None,Office,1,0
7896,28,Female,South Korea,2.1,200.2,7.4,Good,28.7,79,Low,1.9,None,Healthcare,1,1
7897,50,Female,Italy,5.7,539.0,4.0,Poor,20.4,65,High,4.1,Mild,Office,0,1
7898,33,Female,South Korea,1.6,153.2,5.6,Fair,20.7,66,Medium,10.7,Mild,Student,1,0
7899,18,Female,Norway,5.9,563.8,7.1,Good,24.0,79,Low,10.6,None,Service,1,0
7900,29,Male,Switzerland,2.7,255.2,4.8,Poor,22.2,70,High,3.5,Mild,Healthcare,0,1
7901,18,Male,Italy,2.5,236.9,5.7,Fair,23.6,61,Medium,9.5,Mild,Student,1,0
7902,21,Male,Netherlands,0.9,88.0,7.6,Good,24.4,74,Low,10.3,None,Other,0,1
7903,39,Female,Netherlands,3.4,325.4,5.2,Fair,30.3,75,Medium,1.1,Moderate,Office,1,0
7904,20,Male,China,2.0,190.9,7.7,Good,26.7,69,Low,5.7,None,Student,0,0
7905,48,Male,France,2.5,234.7,7.0,Good,29.7,64,Low,13.6,None,Student,1,1
7906,34,Female,Mexico,2.2,207.3,6.4,Good,20.3,70,Low,13.5,None,Other,0,0
7907,36,Female,Norway,3.8,357.5,4.2,Poor,26.6,80,High,9.9,Mild,Service,1,0
7908,31,Female,India,2.2,208.3,6.7,Good,30.0,67,Low,9.8,Mild,Other,1,1
7909,44,Female,Finland,0.0,0.0,5.1,Fair,23.8,53,Medium,12.8,Mild,Office,0,1
7910,44,Female,Japan,1.2,116.8,4.8,Poor,24.2,68,High,5.1,Mild,Other,1,0
7911,39,Female,Finland,0.5,49.5,7.4,Good,22.5,69,Low,0.7,None,Office,0,1
7912,41,Female,Norway,4.7,448.7,6.6,Good,25.2,74,Low,12.7,None,Other,0,0
7913,32,Female,Canada,3.4,322.7,4.1,Poor,17.7,73,High,4.7,Mild,Service,1,0
7914,41,Male,Spain,2.6,244.3,6.3,Good,26.4,77,Low,10.1,None,Office,0,0
7915,30,Male,Norway,2.2,209.6,7.2,Good,24.0,69,Low,7.3,None,Office,0,0
7916,35,Male,Canada,0.4,35.9,7.3,Good,17.5,68,Low,2.2,None,Student,0,0
7917,31,Male,Canada,2.2,205.3,6.9,Good,26.9,73,Low,6.3,None,Other,0,0
7918,29,Female,Japan,3.9,373.3,6.1,Good,29.1,54,Low,3.9,None,Student,0,0
7919,26,Male,South Korea,3.7,354.2,7.7,Good,23.4,67,Low,0.1,None,Healthcare,0,0
7920,40,Male,Finland,3.1,298.6,6.7,Good,24.3,67,Low,7.9,None,Office,0,0
7921,50,Female,Germany,0.4,39.2,8.3,Excellent,18.5,68,Low,8.5,None,Service,0,0
7922,49,Female,Belgium,1.4,133.1,6.8,Good,19.0,59,Low,4.6,None,Service,0,0
7923,19,Female,China,3.1,290.5,5.2,Fair,24.9,72,Medium,4.4,Mild,Office,1,1
7924,50,Female,China,0.8,73.9,7.1,Good,17.3,67,Low,6.7,None,Student,0,0
7925,31,Female,Netherlands,3.6,340.4,4.8,Poor,21.3,57,High,9.3,Mild,Office,0,1
7926,42,Female,Mexico,0.5,47.8,7.4,Good,18.7,64,Low,14.5,None,Healthcare,1,1
7927,24,Male,Norway,0.8,80.4,9.2,Excellent,22.3,71,Low,7.2,None,Healthcare,1,0
7928,36,Male,France,0.5,48.7,7.0,Good,27.4,81,Low,14.0,None,Healthcare,0,0
7929,38,Male,Mexico,1.8,167.1,6.6,Good,23.4,86,Low,14.6,None,Office,1,0
7930,18,Female,South Korea,0.2,20.8,8.1,Excellent,27.5,68,Low,9.1,None,Other,0,0
7931,42,Female,South Korea,1.8,168.2,7.0,Good,23.4,82,Low,8.4,None,Student,0,0
7932,51,Female,Sweden,1.1,107.7,9.7,Excellent,27.4,80,Low,0.9,Mild,Service,0,0
7933,32,Female,Finland,1.5,139.9,6.7,Good,21.9,76,Low,3.3,None,Other,0,0
7934,51,Male,France,3.5,332.8,6.9,Good,29.6,63,Low,15.0,Mild,Office,0,0
7935,32,Female,Switzerland,2.5,236.0,7.9,Good,21.9,77,Low,11.2,None,Student,0,0
7936,45,Female,Switzerland,3.5,332.7,4.7,Poor,24.6,65,High,10.0,Mild,Office,1,0
7937,18,Male,Finland,5.8,553.8,7.0,Good,17.4,81,Low,8.5,None,Service,0,1
7938,64,Female,Canada,0.0,0.0,6.5,Good,27.5,68,Low,10.2,Mild,Office,0,0
7939,52,Male,UK,1.7,159.8,6.4,Good,17.9,69,Low,10.2,Mild,Office,0,0
7940,31,Male,USA,1.0,90.8,7.8,Good,27.5,76,Low,3.3,None,Other,0,1
7941,18,Female,UK,1.5,138.4,5.9,Fair,21.6,86,Medium,11.8,Mild,Office,0,1
7942,38,Female,Italy,3.1,291.2,6.3,Good,19.2,76,Low,7.0,None,Service,0,0
7943,18,Male,Sweden,5.2,489.7,6.0,Good,24.5,91,Low,10.5,None,Other,0,0
7944,40,Female,Brazil,3.5,329.3,6.4,Good,20.2,63,Low,5.2,None,Office,0,1
7945,39,Female,Japan,3.2,306.6,5.7,Fair,26.7,66,Medium,8.7,Mild,Office,0,0
7946,23,Female,Brazil,4.1,385.8,7.1,Good,22.4,69,Low,11.0,None,Healthcare,0,0
7947,48,Male,India,4.7,450.1,4.9,Poor,23.7,67,High,9.2,Mild,Healthcare,0,0
7948,44,Male,South Korea,5.2,493.6,4.0,Poor,22.9,81,High,9.5,Mild,Other,0,0
7949,46,Male,Sweden,3.2,306.9,6.2,Good,17.8,66,Low,2.8,None,Service,0,0
7950,35,Female,Brazil,1.1,100.4,7.5,Good,25.2,64,Low,7.6,None,Office,0,0
7951,18,Male,Canada,2.0,189.1,7.4,Good,22.0,56,Low,4.1,None,Student,0,1
7952,46,Male,Mexico,0.0,0.0,7.4,Good,21.0,69,Low,5.6,None,Other,1,1
7953,31,Female,Italy,3.6,346.7,6.0,Good,23.1,83,Low,12.0,None,Other,0,0
7954,18,Female,Brazil,1.2,116.1,7.3,Good,31.5,76,Low,0.7,Mild,Office,0,1
7955,51,Female,Mexico,1.4,135.4,6.6,Good,19.5,91,Low,3.9,Mild,Other,0,0
7956,60,Female,Australia,3.0,287.9,6.5,Good,16.6,82,Low,11.8,Mild,Student,0,0
7957,34,Male,Brazil,0.0,0.0,4.0,Poor,26.9,81,High,12.7,Mild,Other,0,1
7958,60,Male,Norway,4.0,384.5,5.9,Fair,22.0,91,Medium,3.2,Moderate,Service,0,0
7959,36,Female,Germany,3.3,316.6,4.1,Poor,21.4,78,High,2.5,Mild,Student,1,0
7960,30,Female,India,1.9,175.8,9.3,Excellent,21.2,59,Low,12.0,None,Service,0,1
7961,27,Female,Germany,2.4,230.5,7.7,Good,28.0,77,Low,10.8,None,Healthcare,0,1
7962,54,Female,Netherlands,1.5,141.9,8.2,Excellent,23.9,75,Low,8.4,Mild,Healthcare,0,0
7963,25,Female,Canada,6.4,608.6,5.4,Fair,20.7,71,Medium,6.9,Mild,Office,1,0
7964,43,Female,Switzerland,1.1,106.8,6.7,Good,24.2,63,Low,13.1,None,Office,1,0
7965,28,Female,Spain,3.0,283.5,5.0,Poor,25.4,78,High,4.2,Mild,Other,0,0
7966,29,Female,Canada,2.1,200.0,5.3,Fair,22.8,69,Medium,9.7,Mild,Healthcare,0,0
7967,47,Male,Switzerland,2.6,245.2,6.3,Good,25.0,67,Low,14.0,None,Other,0,0
7968,30,Male,Spain,3.3,310.5,5.8,Fair,25.3,92,Medium,2.6,Mild,Other,0,1
7969,30,Female,China,3.3,316.1,7.0,Good,15.0,85,Low,2.9,None,Service,0,0
7970,48,Male,UK,2.0,186.6,7.2,Good,30.3,56,Low,1.8,Mild,Student,0,1
7971,54,Female,Switzerland,0.8,71.9,6.4,Good,25.4,96,Low,4.0,Mild,Service,0,1
7972,42,Male,UK,1.4,133.2,7.8,Good,17.2,73,Low,8.5,None,Service,0,0
7973,27,Male,South Korea,1.8,171.9,5.3,Fair,27.6,78,Medium,4.9,Mild,Service,0,0
7974,28,Male,India,1.6,152.5,5.3,Fair,30.6,81,Medium,8.4,Moderate,Student,1,0
7975,35,Male,UK,0.9,89.0,7.5,Good,25.0,83,Low,7.2,None,Service,0,0
7976,38,Male,Germany,3.2,301.4,7.2,Good,23.3,80,Low,8.0,None,Office,0,1
7977,23,Male,China,0.5,44.3,7.9,Good,27.6,63,Low,14.3,None,Other,0,0
7978,43,Female,Germany,2.4,230.2,4.9,Poor,23.0,77,High,3.1,Mild,Service,0,1
7979,36,Male,USA,0.1,4.9,6.0,Fair,22.2,80,Medium,10.1,Mild,Healthcare,0,0
7980,18,Male,UK,4.1,393.0,6.7,Good,23.6,84,Low,7.1,None,Student,0,1
7981,23,Male,Norway,1.6,149.9,7.2,Good,25.3,60,Low,10.2,None,Other,0,1
7982,28,Female,Netherlands,1.4,133.8,9.1,Excellent,24.7,78,Low,9.0,None,Service,1,0
7983,34,Female,Belgium,1.2,109.9,5.6,Fair,25.1,79,Medium,11.3,Mild,Student,1,0
7984,57,Female,Spain,5.1,480.5,8.8,Excellent,17.4,64,Low,8.0,Mild,Student,0,1
7985,37,Male,UK,4.5,426.7,6.9,Good,21.7,79,Low,10.5,None,Healthcare,1,0
7986,24,Male,South Korea,2.6,245.2,8.0,Excellent,28.0,69,Low,11.0,None,Student,0,0
7987,37,Female,Finland,1.7,166.0,7.5,Good,21.3,64,Low,2.7,None,Other,0,0
7988,30,Female,France,5.6,533.3,5.3,Fair,17.5,64,Medium,13.9,Mild,Student,0,0
7989,38,Male,Mexico,3.2,308.4,5.8,Fair,32.0,69,Medium,10.9,Moderate,Service,0,0
7990,41,Male,Sweden,2.1,201.1,6.7,Good,31.7,79,Low,1.5,Mild,Office,0,1
7991,49,Male,India,1.7,157.6,4.9,Poor,29.3,50,High,12.9,Mild,Student,0,0
7992,34,Male,Netherlands,3.7,354.0,4.5,Poor,23.8,60,High,2.9,Mild,Other,1,0
7993,54,Female,South Korea,2.2,206.1,5.9,Fair,26.1,66,Medium,8.8,Moderate,Service,0,0
7994,45,Female,Spain,0.5,46.7,7.8,Good,20.6,82,Low,4.7,None,Student,0,0
7995,26,Male,UK,2.8,262.0,5.8,Fair,22.3,70,Medium,8.6,Mild,Student,0,0
7996,61,Male,Mexico,2.9,271.5,6.5,Good,20.6,84,Low,13.3,Mild,Service,0,0
7997,38,Female,India,2.6,243.8,6.4,Good,26.8,67,Low,13.4,None,Student,1,1
7998,24,Female,Finland,3.3,309.5,7.7,Good,37.2,56,Low,11.8,Mild,Service,0,0
7999,54,Female,Netherlands,2.0,191.4,7.2,Good,23.3,56,Low,12.2,Mild,Healthcare,1,0
8000,59,Male,South Korea,2.5,238.5,7.6,Good,28.1,65,Low,7.6,Mild,Office,0,0
8001,34,Female,China,2.5,236.1,8.0,Excellent,28.8,54,Low,13.0,None,Student,0,1
8002,28,Male,South Korea,0.5,46.7,5.7,Fair,25.4,71,Medium,7.0,Mild,Healthcare,0,0
8003,32,Male,Belgium,3.6,337.6,4.0,Poor,26.8,90,High,3.1,Mild,Service,1,0
8004,43,Male,Sweden,3.3,315.9,6.0,Good,25.2,58,Low,13.5,None,Office,0,0
8005,50,Female,Switzerland,4.0,378.5,7.8,Good,28.0,79,Low,6.9,None,Student,0,0
8006,41,Male,Belgium,1.0,93.7,7.7,Good,18.0,85,Low,9.0,None,Healthcare,0,1
8007,36,Female,USA,1.9,177.3,6.3,Good,25.2,66,Low,9.4,None,Service,0,0
8008,52,Male,Japan,4.2,395.5,8.7,Excellent,24.2,69,Low,1.2,Mild,Student,0,1
8009,31,Male,France,1.6,155.4,7.7,Good,23.7,58,Low,5.3,None,Healthcare,0,0
8010,47,Male,USA,5.2,493.5,5.5,Fair,21.3,59,Medium,5.4,Mild,Office,0,0
8011,31,Male,UK,0.2,15.3,8.4,Excellent,29.8,72,Low,10.8,None,Office,1,0
8012,40,Male,Spain,1.7,156.9,4.9,Poor,24.9,93,High,10.2,Mild,Healthcare,0,0
8013,33,Male,UK,1.8,171.3,7.1,Good,28.7,65,Low,14.8,None,Office,0,0
8014,34,Male,Italy,3.6,346.3,5.8,Fair,25.0,78,Medium,11.0,Mild,Office,0,0
8015,30,Male,USA,5.0,474.8,6.2,Good,28.6,63,Low,3.3,None,Healthcare,0,0
8016,51,Female,India,3.0,280.8,7.3,Good,26.6,65,Low,5.2,Mild,Service,0,0
8017,26,Male,Japan,0.0,0.0,8.1,Excellent,23.5,59,Low,2.5,None,Other,0,0
8018,26,Female,France,2.4,226.0,6.8,Good,29.3,63,Low,12.9,None,Student,0,0
8019,60,Female,Mexico,2.7,255.0,6.3,Good,26.5,72,Low,12.7,Mild,Office,1,1
8020,46,Male,Netherlands,3.1,293.5,4.5,Poor,23.6,54,High,13.7,Mild,Service,1,0
8021,18,Female,Germany,2.4,226.3,4.8,Poor,17.2,69,High,9.9,Mild,Service,1,1
8022,28,Female,South Korea,4.5,423.7,3.2,Poor,26.6,51,High,4.0,Mild,Other,0,1
8023,18,Male,Belgium,1.2,110.9,7.0,Good,32.1,65,Low,13.5,Mild,Healthcare,0,0
8024,23,Female,UK,1.0,90.6,8.0,Good,27.4,58,Low,4.1,None,Office,0,0
8025,18,Female,Brazil,1.6,150.2,3.9,Poor,25.3,84,High,5.8,Mild,Student,0,0
8026,33,Other,Canada,6.4,608.3,7.3,Good,21.0,75,Low,0.3,None,Office,0,1
8027,21,Female,France,2.2,211.9,8.3,Excellent,17.4,69,Low,8.7,None,Student,1,0
8028,35,Male,France,4.2,401.2,6.6,Good,27.8,58,Low,6.5,None,Student,0,0
8029,18,Male,Australia,4.2,398.5,8.2,Excellent,25.5,71,Low,9.7,None,Other,1,0
8030,35,Female,USA,0.0,0.0,6.9,Good,19.5,67,Low,14.5,None,Student,0,0
8031,30,Other,UK,2.4,229.4,5.1,Fair,22.7,73,Medium,0.9,Mild,Healthcare,1,0
8032,53,Female,Australia,4.2,397.1,6.0,Fair,22.8,69,Medium,1.4,Moderate,Student,0,0
8033,51,Female,South Korea,6.8,645.3,7.9,Good,26.1,65,Low,8.5,Mild,Service,0,1
8034,44,Male,Switzerland,4.1,391.2,5.6,Fair,24.2,71,Medium,15.0,Mild,Service,0,0
8035,31,Male,Spain,2.0,188.7,7.2,Good,28.4,56,Low,4.3,None,Office,0,1
8036,58,Female,Australia,4.7,445.6,6.9,Good,31.6,50,Low,8.0,Moderate,Student,0,0
8037,18,Female,China,1.9,176.1,8.1,Excellent,25.8,61,Low,3.1,None,Other,0,0
8038,18,Other,India,0.8,76.3,4.6,Poor,15.6,56,High,7.9,Mild,Student,0,0
8039,33,Female,Finland,3.5,337.2,8.1,Excellent,27.2,83,Low,2.8,None,Student,0,0
8040,62,Male,Netherlands,0.3,30.6,5.8,Fair,26.9,82,Medium,2.7,Moderate,Student,0,0
8041,32,Female,Germany,1.6,152.6,8.6,Excellent,27.4,77,Low,5.1,None,Other,0,0
8042,32,Female,Norway,4.7,449.4,5.9,Fair,30.0,71,Medium,14.1,Moderate,Office,0,1
8043,18,Female,Mexico,3.6,339.0,6.0,Good,28.8,61,Low,9.9,None,Student,0,0
8044,46,Male,France,1.2,114.4,7.7,Good,25.5,70,Low,5.6,None,Office,0,0
8045,46,Male,Finland,2.7,257.5,8.2,Excellent,16.2,61,Low,9.6,None,Other,1,0
8046,44,Female,Sweden,2.4,223.9,6.1,Good,26.5,63,Low,3.0,None,Office,0,1
8047,27,Male,Germany,3.9,366.8,6.1,Good,27.7,63,Low,9.6,None,Office,1,0
8048,26,Female,Switzerland,3.1,291.6,5.8,Fair,31.1,79,Medium,13.8,Moderate,Healthcare,1,0
8049,19,Male,Brazil,2.7,259.6,5.9,Fair,29.5,68,Medium,14.1,Mild,Student,0,0
8050,36,Male,Spain,2.4,232.3,7.2,Good,29.4,50,Low,8.8,None,Office,0,0
8051,22,Female,Brazil,0.9,80.8,6.8,Good,21.2,61,Low,13.2,None,Student,0,1
8052,20,Male,China,4.6,434.2,7.8,Good,24.7,70,Low,5.8,None,Healthcare,1,0
8053,29,Female,Spain,3.1,297.2,5.7,Fair,16.2,72,Medium,13.3,Mild,Healthcare,0,0
8054,29,Male,Sweden,2.0,190.7,7.6,Good,20.3,55,Low,5.0,None,Office,1,0
8055,28,Female,Japan,2.1,201.0,7.5,Good,25.2,77,Low,10.5,None,Office,1,0
8056,40,Male,Finland,2.3,222.9,6.3,Good,22.7,81,Low,13.8,None,Healthcare,1,1
8057,35,Male,Spain,1.3,120.3,6.5,Good,23.2,74,Low,8.5,None,Service,0,1
8058,31,Female,Netherlands,1.6,156.6,7.3,Good,30.1,71,Low,4.1,Mild,Office,0,0
8059,37,Female,Sweden,4.0,377.6,5.6,Fair,15.0,77,Medium,10.5,Mild,Service,0,0
8060,23,Male,China,0.2,14.5,6.5,Good,27.8,73,Low,1.7,None,Other,1,0
8061,36,Other,Japan,5.3,502.3,4.6,Poor,30.7,62,High,5.2,Moderate,Other,0,0
8062,36,Female,Germany,2.5,238.0,5.5,Fair,25.5,80,Medium,13.4,Mild,Other,1,0
8063,18,Female,Norway,1.3,124.7,5.6,Fair,25.0,81,Medium,11.1,Mild,Office,1,0
8064,46,Female,Canada,2.0,188.2,5.6,Fair,27.9,53,Medium,0.8,Mild,Office,0,0
8065,24,Male,Netherlands,3.1,297.5,4.4,Poor,25.3,56,High,8.6,Mild,Other,0,1
8066,36,Male,USA,1.8,168.9,4.8,Poor,22.2,73,High,3.7,Mild,Service,1,0
8067,48,Male,Mexico,3.5,331.5,7.5,Good,29.7,74,Low,0.2,None,Office,0,0
8068,46,Female,Sweden,0.9,86.1,6.7,Good,18.4,79,Low,4.0,None,Office,0,0
8069,35,Male,Belgium,1.3,123.9,8.3,Excellent,22.1,79,Low,11.6,None,Student,0,1
8070,30,Male,Australia,2.9,272.3,7.8,Good,22.3,76,Low,6.0,None,Student,0,0
8071,46,Male,Norway,1.6,149.1,6.2,Good,23.5,70,Low,4.0,None,Student,0,0
8072,43,Male,Switzerland,5.4,516.7,5.1,Fair,22.7,63,Medium,15.0,Mild,Healthcare,0,1
8073,27,Female,Japan,3.7,355.7,6.6,Good,17.4,80,Low,8.7,None,Office,0,1
8074,25,Female,Germany,3.3,310.5,6.0,Fair,27.6,78,Medium,3.3,Mild,Other,0,0
8075,18,Female,Canada,2.7,253.4,7.4,Good,27.4,80,Low,3.0,None,Healthcare,0,0
8076,36,Female,Norway,2.0,188.1,4.3,Poor,22.4,58,High,1.5,Mild,Healthcare,0,0
8077,34,Female,Sweden,2.1,201.0,7.1,Good,26.8,82,Low,9.2,None,Healthcare,0,0
8078,48,Other,Norway,1.2,118.5,8.7,Excellent,29.7,81,Low,13.2,None,Other,0,1
8079,39,Male,Spain,2.8,267.7,6.1,Good,23.5,61,Low,12.9,None,Healthcare,0,0
8080,51,Male,Sweden,0.6,60.0,7.6,Good,27.5,72,Low,14.1,Mild,Student,0,1
8081,26,Male,Canada,4.7,445.3,4.8,Poor,23.2,76,High,0.3,Mild,Healthcare,0,1
8082,48,Male,China,2.6,246.2,5.9,Fair,26.9,80,Medium,8.4,Mild,Service,0,0
8083,28,Female,Spain,4.6,432.7,5.3,Fair,32.6,70,Medium,13.8,Moderate,Student,0,0
8084,44,Female,Finland,3.8,364.8,8.3,Excellent,27.3,69,Low,13.5,None,Office,0,1
8085,18,Male,South Korea,2.4,227.6,9.0,Excellent,22.9,70,Low,4.1,None,Office,1,0
8086,37,Female,France,3.2,301.0,5.9,Fair,24.2,62,Medium,7.5,Mild,Student,0,1
8087,18,Female,Japan,1.9,176.8,8.3,Excellent,21.8,71,Low,1.4,None,Office,0,0
8088,31,Male,Sweden,2.4,223.8,7.3,Good,24.2,76,Low,4.1,None,Other,0,0
8089,40,Female,Mexico,1.3,126.9,6.3,Good,21.6,77,Low,14.9,None,Other,0,0
8090,28,Female,Spain,5.0,474.9,8.2,Excellent,23.7,69,Low,8.8,None,Healthcare,0,0
8091,22,Female,Mexico,2.8,264.3,5.9,Fair,16.5,78,Medium,15.0,Mild,Service,1,0
8092,45,Female,South Korea,3.8,358.1,5.7,Fair,22.3,73,Medium,0.2,Mild,Healthcare,0,0
8093,33,Male,Australia,1.8,175.1,5.5,Fair,23.5,71,Medium,14.6,Mild,Service,0,1
8094,29,Male,Brazil,4.9,462.3,7.3,Good,30.2,91,Low,5.3,Mild,Office,1,0
8095,35,Male,Norway,1.4,134.2,5.6,Fair,27.7,73,Medium,1.2,Mild,Student,0,0
8096,66,Female,Germany,2.3,221.1,6.5,Good,24.1,69,Low,1.3,Mild,Healthcare,0,1
8097,48,Male,Japan,1.8,170.4,6.3,Good,19.1,72,Low,5.2,None,Other,0,0
8098,48,Male,Netherlands,2.9,276.7,5.9,Fair,23.7,71,Medium,7.1,Mild,Healthcare,0,0
8099,40,Female,India,1.5,139.0,6.5,Good,22.6,68,Low,1.3,None,Other,0,0
8100,36,Female,South Korea,3.4,321.7,6.0,Fair,21.3,78,Medium,12.8,Mild,Student,0,0
8101,18,Female,UK,2.9,275.0,8.5,Excellent,27.1,72,Low,7.3,None,Student,0,0
8102,26,Male,Belgium,2.3,214.8,7.2,Good,21.7,81,Low,5.5,None,Student,0,0
8103,29,Male,Italy,0.9,85.7,7.0,Good,23.0,69,Low,7.8,None,Healthcare,0,1
8104,18,Male,Brazil,2.4,226.0,6.1,Good,18.4,88,Low,7.3,None,Other,0,0
8105,21,Female,Norway,2.3,222.5,5.1,Fair,24.4,71,Medium,1.5,Mild,Office,0,0
8106,18,Male,Mexico,3.8,365.2,5.7,Fair,27.5,72,Medium,0.8,Mild,Service,1,0
8107,34,Female,USA,2.1,196.3,6.7,Good,21.6,65,Low,10.2,None,Student,0,1
8108,44,Other,South Korea,1.0,97.9,6.8,Good,28.3,74,Low,7.3,None,Office,0,1
8109,48,Male,Japan,0.0,0.0,7.2,Good,28.0,90,Low,0.4,None,Healthcare,0,1
8110,39,Male,Spain,4.2,401.3,8.1,Excellent,22.6,72,Low,10.0,None,Service,1,1
8111,23,Female,Sweden,2.2,212.1,6.1,Good,29.2,79,Low,10.6,None,Office,0,0
8112,18,Female,Brazil,3.0,284.4,8.2,Excellent,28.6,69,Low,14.6,None,Office,1,0
8113,18,Female,Canada,1.7,164.0,6.5,Good,26.5,50,Low,9.5,None,Student,0,1
8114,19,Male,Switzerland,1.6,152.2,7.0,Good,32.5,87,Low,4.1,Mild,Office,0,0
8115,24,Male,Norway,2.4,223.9,6.5,Good,28.0,76,Low,3.6,None,Office,0,1
8116,33,Female,Switzerland,1.2,118.4,8.4,Excellent,28.7,96,Low,6.9,None,Service,0,1
8117,22,Female,Switzerland,1.9,185.1,5.7,Fair,23.9,72,Medium,1.4,Mild,Service,1,0
8118,39,Male,Norway,3.6,339.3,7.4,Good,20.6,69,Low,7.4,None,Healthcare,0,0
8119,32,Female,Germany,3.6,337.5,8.6,Excellent,21.4,71,Low,4.9,None,Student,1,0
8120,35,Female,Canada,1.7,165.9,6.6,Good,24.0,77,Low,12.4,None,Student,0,0
8121,48,Male,Canada,2.2,204.8,3.2,Poor,27.5,69,High,10.4,Mild,Office,0,1
8122,20,Female,Spain,0.0,0.0,5.7,Fair,23.4,65,Medium,3.9,Mild,Student,0,0
8123,40,Male,Australia,0.0,0.0,6.5,Good,27.7,62,Low,7.2,None,Student,0,1
8124,34,Female,Australia,1.7,164.2,7.2,Good,16.8,71,Low,10.8,None,Other,0,0
8125,30,Female,France,2.6,243.7,8.2,Excellent,20.3,80,Low,2.6,None,Office,0,0
8126,45,Male,Norway,0.6,56.4,6.8,Good,21.8,73,Low,14.5,None,Other,1,0
8127,45,Female,Belgium,3.6,337.8,5.9,Fair,20.6,73,Medium,1.4,Mild,Healthcare,0,0
8128,23,Female,USA,3.8,358.8,7.2,Good,26.6,70,Low,14.3,None,Service,0,0
8129,32,Female,South Korea,1.2,117.4,6.6,Good,23.5,60,Low,0.3,None,Student,0,0
8130,38,Male,Australia,1.2,111.1,6.9,Good,21.0,74,Low,7.3,None,Student,0,0
8131,31,Female,UK,3.1,296.1,6.0,Fair,26.6,65,Medium,4.3,Mild,Other,0,1
8132,42,Female,Norway,5.0,475.3,8.2,Excellent,30.7,74,Low,14.5,Mild,Student,1,1
8133,38,Female,USA,1.9,178.0,6.9,Good,26.8,83,Low,12.8,None,Service,0,0
8134,56,Female,Norway,3.9,370.9,7.8,Good,21.7,69,Low,13.5,Mild,Office,0,1
8135,18,Male,South Korea,2.5,233.7,7.1,Good,25.1,61,Low,7.4,None,Other,0,0
8136,33,Male,Finland,2.6,246.2,8.0,Good,21.3,77,Low,1.6,None,Student,0,0
8137,24,Female,South Korea,2.2,210.7,7.7,Good,27.4,76,Low,3.7,None,Service,1,0
8138,42,Male,Japan,3.9,370.9,7.4,Good,24.9,63,Low,8.0,None,Student,0,0
8139,18,Female,China,5.5,519.9,6.7,Good,29.3,63,Low,5.8,None,Student,0,0
8140,39,Female,Mexico,3.8,359.3,4.6,Poor,24.4,75,High,4.9,Mild,Office,0,0
8141,27,Male,South Korea,0.7,69.4,5.0,Fair,24.9,81,Medium,4.5,Mild,Other,0,1
8142,26,Female,Belgium,2.1,201.3,5.5,Fair,18.1,77,Medium,3.5,Mild,Other,0,0
8143,18,Male,Norway,0.0,0.0,8.4,Excellent,16.6,64,Low,8.1,None,Service,0,0
8144,29,Female,USA,5.6,530.4,6.9,Good,25.2,87,Low,10.3,None,Other,0,0
8145,48,Male,Germany,3.0,287.7,6.1,Good,17.6,67,Low,10.4,None,Healthcare,0,0
8146,34,Male,South Korea,1.3,123.2,8.6,Excellent,20.7,82,Low,0.7,None,Office,0,1
8147,42,Male,USA,2.9,274.9,7.8,Good,25.6,83,Low,0.4,None,Student,0,0
8148,54,Female,Germany,5.3,506.2,6.8,Good,22.6,79,Low,1.3,Mild,Other,0,0
8149,38,Male,Mexico,1.2,118.3,7.7,Good,19.7,63,Low,0.3,None,Healthcare,1,0
8150,28,Male,Mexico,1.6,156.2,7.5,Good,21.6,83,Low,6.6,None,Other,0,0
8151,40,Male,Australia,0.7,70.3,5.4,Fair,30.0,89,Medium,0.8,Moderate,Student,0,1
8152,28,Male,USA,3.4,318.3,6.6,Good,24.5,83,Low,6.5,None,Other,0,0
8153,28,Female,India,2.3,217.6,7.3,Good,25.9,60,Low,5.1,None,Student,1,0
8154,18,Male,South Korea,0.0,0.0,7.0,Good,24.4,57,Low,0.9,None,Service,0,1
8155,46,Female,France,3.0,285.6,5.7,Fair,30.0,75,Medium,1.3,Mild,Other,0,0
8156,30,Female,China,3.9,372.8,4.4,Poor,25.5,60,High,11.6,Mild,Office,0,0
8157,37,Female,South Korea,1.7,161.6,5.8,Fair,26.4,73,Medium,10.9,Mild,Student,0,0
8158,22,Male,USA,2.4,231.0,7.7,Good,17.3,71,Low,4.3,None,Office,0,1
8159,40,Female,India,2.2,208.7,7.3,Good,23.6,63,Low,1.9,None,Service,1,1
8160,25,Male,South Korea,3.5,335.5,4.6,Poor,23.2,80,High,5.3,Mild,Office,0,0
8161,33,Female,India,0.0,1.5,7.9,Good,19.5,60,Low,7.3,None,Office,0,0
8162,45,Other,Switzerland,1.5,143.9,5.2,Fair,18.4,78,Medium,7.8,Mild,Service,0,1
8163,44,Female,Canada,2.0,193.9,6.5,Good,22.8,69,Low,0.4,None,Other,1,0
8164,34,Female,Canada,3.7,347.3,7.4,Good,34.8,72,Low,9.0,Mild,Service,0,0
8165,18,Other,USA,2.5,237.8,6.2,Good,19.9,70,Low,9.5,None,Healthcare,0,0
8166,70,Female,China,0.5,50.9,5.3,Fair,24.9,69,Medium,9.6,Moderate,Student,1,0
8167,55,Male,Belgium,1.6,155.4,3.6,Poor,23.5,86,High,9.4,Moderate,Student,1,0
8168,43,Male,Australia,4.4,417.0,5.2,Fair,26.4,51,Medium,14.4,Mild,Other,1,0
8169,25,Male,Netherlands,0.5,49.0,6.4,Good,31.7,84,Low,10.6,Mild,Service,0,0
8170,33,Male,Belgium,4.0,383.9,6.9,Good,15.8,51,Low,4.8,None,Student,1,0
8171,28,Female,Sweden,3.9,370.9,5.7,Fair,20.3,83,Medium,12.2,Mild,Student,0,0
8172,50,Female,Mexico,4.3,411.2,5.7,Fair,30.2,71,Medium,6.5,Moderate,Office,0,0
8173,38,Male,South Korea,4.1,394.2,5.8,Fair,25.5,77,Medium,0.9,Mild,Service,0,1
8174,25,Female,Finland,4.5,431.7,5.5,Fair,22.1,70,Medium,9.7,Mild,Office,1,1
8175,29,Male,Belgium,0.0,0.0,9.2,Excellent,22.4,69,Low,5.7,None,Healthcare,1,0
8176,48,Other,Netherlands,4.5,424.0,6.6,Good,17.4,73,Low,14.0,None,Healthcare,1,0
8177,54,Female,Spain,3.2,308.1,5.4,Fair,25.4,73,Medium,5.1,Moderate,Healthcare,0,1
8178,53,Female,Germany,1.6,156.0,4.2,Poor,24.4,63,High,0.7,Moderate,Other,0,0
8179,44,Female,USA,0.7,69.3,7.0,Good,24.1,57,Low,14.2,None,Service,0,0
8180,31,Male,USA,2.5,241.8,8.4,Excellent,21.9,50,Low,12.5,None,Other,0,1
8181,18,Female,Canada,6.1,576.8,6.7,Good,24.9,72,Low,14.7,None,Healthcare,1,0
8182,38,Male,Switzerland,3.3,311.8,9.6,Excellent,20.3,95,Low,2.7,None,Other,0,1
8183,34,Male,Japan,1.8,168.3,6.0,Good,21.5,54,Low,0.3,None,Student,0,0
8184,36,Female,Australia,6.1,575.0,6.7,Good,25.5,89,Low,14.3,None,Other,0,0
8185,35,Male,Netherlands,3.5,329.5,4.7,Poor,22.4,74,High,11.1,Mild,Service,0,0
8186,19,Female,UK,3.5,334.1,4.4,Poor,24.3,71,High,12.9,Mild,Office,0,0
8187,41,Female,South Korea,2.9,278.8,6.3,Good,22.4,78,Low,0.1,None,Service,0,0
8188,42,Male,France,3.3,310.8,7.9,Good,25.9,68,Low,9.9,None,Office,1,0
8189,43,Female,France,0.0,0.0,9.0,Excellent,21.9,63,Low,10.7,None,Other,0,0
8190,46,Male,France,2.7,259.3,6.7,Good,25.2,56,Low,5.2,None,Other,0,0
8191,42,Female,Mexico,3.7,350.9,5.4,Fair,27.1,71,Medium,7.1,Mild,Service,1,1
8192,30,Female,Belgium,4.9,462.7,3.6,Poor,23.8,70,High,2.0,Mild,Office,0,1
8193,34,Male,Switzerland,5.9,564.4,5.4,Fair,23.2,69,Medium,1.2,Mild,Healthcare,0,0
8194,36,Male,South Korea,4.2,394.9,6.3,Good,22.3,81,Low,12.2,None,Healthcare,1,1
8195,36,Male,Switzerland,2.8,267.8,5.9,Fair,23.2,68,Medium,12.3,Mild,Other,0,0
8196,46,Female,Belgium,2.6,247.5,4.4,Poor,29.9,79,High,3.5,Mild,Other,0,0
8197,42,Male,Canada,1.5,138.0,6.8,Good,28.4,57,Low,12.3,None,Student,1,1
8198,59,Male,China,3.3,315.3,6.1,Good,26.1,81,Low,5.5,Mild,Other,0,0
8199,61,Female,Germany,5.5,519.7,6.7,Good,22.0,85,Low,4.3,Mild,Other,0,0
8200,35,Female,Brazil,1.9,184.9,5.7,Fair,29.3,71,Medium,11.9,Mild,Student,1,1
8201,18,Female,India,2.8,264.0,6.1,Good,31.3,71,Low,10.6,Mild,Student,0,0
8202,49,Female,South Korea,1.4,136.6,6.8,Good,16.9,78,Low,9.5,None,Service,1,0
8203,28,Female,Finland,4.1,385.4,6.8,Good,23.7,77,Low,11.9,None,Other,0,1
8204,25,Female,Switzerland,4.4,415.3,5.7,Fair,24.7,67,Medium,12.9,Mild,Healthcare,0,1
8205,30,Male,Belgium,1.5,138.8,5.8,Fair,22.2,72,Medium,14.2,Mild,Other,0,0
8206,29,Female,Finland,3.4,320.8,5.1,Fair,17.9,94,Medium,9.4,Mild,Other,0,0
8207,42,Male,Germany,0.0,0.0,7.1,Good,20.7,64,Low,1.4,None,Office,1,1
8208,18,Male,Japan,2.1,198.8,6.2,Good,29.5,76,Low,5.3,None,Office,1,1
8209,22,Female,Canada,4.4,420.6,8.3,Excellent,20.2,77,Low,2.0,None,Service,1,0
8210,39,Male,Netherlands,1.8,170.8,6.5,Good,21.5,71,Low,1.8,None,Healthcare,0,0
8211,42,Female,Japan,0.5,52.2,7.0,Good,24.6,82,Low,14.8,None,Office,0,0
8212,42,Male,Netherlands,3.5,335.9,7.5,Good,24.0,88,Low,2.8,None,Healthcare,0,0
8213,25,Male,Japan,2.3,221.9,7.9,Good,21.9,86,Low,11.1,None,Student,0,1
8214,23,Female,Brazil,2.8,265.5,6.0,Good,27.1,79,Low,11.7,None,Other,1,0
8215,28,Female,Netherlands,3.0,285.7,8.8,Excellent,27.0,85,Low,7.4,None,Service,0,0
8216,37,Female,Australia,3.9,367.1,8.9,Excellent,20.5,61,Low,0.1,None,Healthcare,0,0
8217,52,Female,China,4.1,391.7,5.9,Fair,18.8,55,Medium,10.9,Moderate,Office,0,0
8218,18,Male,Japan,3.1,292.7,6.5,Good,25.8,50,Low,14.3,None,Other,0,0
8219,32,Female,UK,4.3,405.4,6.7,Good,23.7,66,Low,11.5,None,Other,0,0
8220,19,Male,Italy,2.5,234.8,5.7,Fair,25.8,87,Medium,7.9,Mild,Other,0,1
8221,18,Female,Mexico,3.0,283.1,6.4,Good,23.8,74,Low,8.8,None,Service,0,1
8222,46,Male,India,2.5,242.2,5.4,Fair,21.9,63,Medium,2.4,Mild,Student,0,0
8223,41,Female,Finland,0.7,70.4,6.8,Good,23.2,94,Low,13.3,None,Other,0,1
8224,40,Female,Sweden,4.7,449.8,6.1,Good,29.4,63,Low,9.0,None,Other,1,0
8225,46,Male,Sweden,2.6,246.1,7.0,Good,21.3,62,Low,3.7,None,Other,0,0
8226,29,Female,Canada,4.9,465.4,6.9,Good,23.2,66,Low,1.5,None,Student,1,0
8227,29,Male,China,3.2,303.8,6.4,Good,18.6,80,Low,4.0,None,Office,1,0
8228,61,Male,Japan,3.1,298.3,8.0,Excellent,18.0,59,Low,11.5,Mild,Healthcare,0,1
8229,32,Female,Norway,3.9,372.9,5.2,Fair,19.1,77,Medium,14.3,Mild,Other,0,0
8230,43,Male,Sweden,2.9,280.0,6.1,Good,16.8,59,Low,3.5,None,Other,0,1
8231,35,Male,Italy,1.6,150.0,5.9,Fair,19.2,75,Medium,4.6,Mild,Office,1,0
8232,18,Female,Sweden,2.3,218.4,8.4,Excellent,25.8,77,Low,12.1,None,Student,0,0
8233,18,Female,China,4.3,405.1,6.1,Good,26.7,66,Low,10.9,None,Student,0,0
8234,28,Male,Finland,3.6,340.6,6.2,Good,19.0,69,Low,1.9,None,Healthcare,0,0
8235,47,Female,Canada,1.2,116.7,8.4,Excellent,19.1,50,Low,13.7,None,Student,0,0
8236,44,Female,France,3.0,281.3,4.7,Poor,23.5,74,High,3.5,Mild,Student,0,0
8237,45,Female,Netherlands,1.0,98.6,5.6,Fair,33.2,69,Medium,11.5,Moderate,Office,0,0
8238,23,Female,Australia,2.6,251.7,6.4,Good,21.2,60,Low,9.8,None,Office,0,0
8239,54,Female,Spain,4.0,382.9,5.7,Fair,22.8,87,Medium,7.0,Moderate,Office,0,1
8240,23,Female,Norway,1.6,152.2,7.8,Good,29.1,72,Low,1.3,None,Healthcare,0,1
8241,37,Male,UK,2.4,224.0,4.9,Poor,28.6,69,High,13.4,Mild,Student,0,1
8242,34,Male,China,1.1,104.5,7.5,Good,27.0,84,Low,8.0,None,Office,0,0
8243,32,Female,Germany,3.4,324.6,5.3,Fair,28.0,52,Medium,1.7,Mild,Service,0,0
8244,51,Other,Italy,2.7,258.4,6.9,Good,29.0,62,Low,7.2,Mild,Other,0,1
8245,26,Female,Australia,1.5,146.3,7.8,Good,21.9,66,Low,1.6,None,Service,0,0
8246,18,Male,Belgium,3.1,297.5,8.8,Excellent,26.0,52,Low,5.6,None,Healthcare,1,0
8247,35,Female,China,2.5,234.1,4.8,Poor,22.4,67,High,1.8,Mild,Student,0,0
8248,30,Female,Mexico,3.3,309.1,6.6,Good,20.7,51,Low,3.9,None,Student,0,0
8249,75,Female,Finland,1.1,105.9,8.0,Good,26.2,58,Low,12.2,Mild,Other,0,1
8250,43,Female,Belgium,2.0,191.3,6.8,Good,23.1,73,Low,3.5,None,Healthcare,1,0
8251,30,Female,UK,2.7,257.0,7.1,Good,23.5,68,Low,9.6,None,Healthcare,1,0
8252,22,Male,Netherlands,3.5,335.7,5.6,Fair,28.7,73,Medium,3.5,Mild,Service,0,0
8253,18,Female,Switzerland,1.0,98.5,6.5,Good,25.5,58,Low,9.2,None,Healthcare,0,0
8254,22,Female,South Korea,2.7,253.8,5.7,Fair,23.4,68,Medium,11.2,Mild,Student,1,0
8255,36,Male,Brazil,4.0,378.9,7.1,Good,23.6,68,Low,1.5,None,Student,0,1
8256,52,Male,Norway,2.6,246.3,8.8,Excellent,18.5,52,Low,12.7,Mild,Student,0,0
8257,48,Female,Norway,2.0,192.3,6.9,Good,26.7,77,Low,13.7,None,Student,0,0
8258,37,Female,Mexico,1.7,160.8,6.8,Good,23.5,84,Low,5.6,None,Service,0,0
8259,31,Male,India,1.7,163.2,4.2,Poor,23.1,82,High,13.2,Mild,Student,0,0
8260,38,Male,Finland,2.8,269.5,6.5,Good,30.4,53,Low,1.7,Mild,Student,0,0
8261,28,Male,Australia,0.0,0.0,7.7,Good,27.2,78,Low,6.4,None,Other,0,0
8262,55,Male,Italy,1.7,159.5,4.8,Poor,24.8,65,High,2.4,Moderate,Service,0,0
8263,32,Female,Canada,3.1,297.0,6.7,Good,25.6,89,Low,14.4,None,Service,0,0
8264,33,Female,Italy,3.6,343.7,6.4,Good,28.5,70,Low,11.6,None,Healthcare,0,0
8265,18,Female,USA,1.1,104.1,4.4,Poor,23.2,81,High,9.3,Mild,Healthcare,0,0
8266,32,Female,Belgium,1.6,148.0,7.3,Good,26.9,58,Low,1.1,None,Office,0,1
8267,45,Male,UK,2.6,248.1,6.1,Good,19.8,71,Low,2.5,None,Student,0,1
8268,22,Male,Spain,3.4,326.0,6.6,Good,25.0,97,Low,5.3,None,Student,1,0
8269,25,Male,Finland,1.9,184.8,7.1,Good,17.5,57,Low,3.4,None,Other,0,0
8270,44,Male,Finland,2.3,219.5,5.7,Fair,24.6,73,Medium,4.7,Mild,Service,0,0
8271,18,Male,Germany,3.0,285.8,7.0,Good,29.0,78,Low,14.5,None,Service,0,0
8272,47,Female,UK,0.8,73.1,6.3,Good,21.9,65,Low,12.0,None,Other,0,0
8273,28,Female,UK,4.9,469.1,6.4,Good,24.2,64,Low,1.0,None,Service,0,0
8274,30,Female,Germany,2.6,249.3,5.8,Fair,21.2,84,Medium,0.8,Mild,Other,0,0
8275,21,Female,Sweden,2.0,187.6,8.0,Good,24.9,74,Low,0.7,None,Student,1,0
8276,39,Female,Switzerland,4.2,400.0,7.2,Good,19.6,90,Low,10.8,None,Student,0,1
8277,64,Female,Mexico,2.7,255.6,6.2,Good,19.5,68,Low,7.7,Mild,Other,1,0
8278,44,Male,Belgium,2.2,212.7,7.5,Good,25.9,74,Low,2.2,None,Student,0,0
8279,24,Other,Germany,3.1,290.5,6.0,Good,20.2,61,Low,14.1,None,Healthcare,1,0
8280,48,Male,South Korea,2.6,243.4,6.9,Good,30.1,80,Low,3.0,Mild,Healthcare,0,0
8281,31,Male,Mexico,1.6,149.8,5.7,Fair,29.9,62,Medium,10.8,Mild,Office,1,1
8282,51,Male,Finland,4.1,389.6,7.5,Good,20.1,77,Low,15.0,Mild,Other,1,1
8283,44,Female,Sweden,0.3,24.1,6.8,Good,33.1,67,Low,14.9,Mild,Service,1,1
8284,18,Other,Mexico,1.9,179.8,5.9,Fair,23.8,70,Medium,9.3,Mild,Service,0,0
8285,22,Female,USA,5.3,501.7,6.5,Good,24.1,73,Low,2.3,None,Office,0,0
8286,46,Female,China,2.7,252.5,4.5,Poor,27.4,72,High,14.9,Mild,Healthcare,1,0
8287,36,Female,Canada,0.1,11.6,5.8,Fair,29.5,71,Medium,10.9,Mild,Other,0,0
8288,22,Female,Belgium,4.2,398.4,6.0,Good,29.4,59,Low,12.4,None,Office,0,0
8289,27,Female,China,2.1,197.0,6.8,Good,32.2,75,Low,14.7,Mild,Healthcare,1,0
8290,18,Female,Switzerland,0.9,86.5,7.0,Good,25.7,65,Low,3.0,None,Other,0,0
8291,33,Male,China,4.1,387.6,5.7,Fair,25.7,77,Medium,4.8,Mild,Student,1,0
8292,61,Male,Italy,4.1,393.9,7.1,Good,25.8,77,Low,3.7,Mild,Healthcare,0,1
8293,44,Female,Netherlands,4.6,440.9,4.8,Poor,24.7,64,High,14.9,Mild,Other,0,1
8294,61,Male,Canada,1.0,99.4,6.5,Good,18.5,58,Low,9.8,Mild,Healthcare,0,0
8295,45,Female,Brazil,2.3,217.6,7.9,Good,15.8,75,Low,4.7,None,Healthcare,0,0
8296,47,Female,China,2.1,195.8,7.4,Good,20.0,70,Low,5.6,None,Office,0,1
8297,58,Female,Finland,1.1,104.6,8.4,Excellent,27.4,72,Low,6.8,Mild,Student,0,0
8298,39,Male,Netherlands,3.4,319.0,9.2,Excellent,23.2,67,Low,6.6,None,Other,0,1
8299,32,Female,Finland,4.1,393.3,5.6,Fair,19.8,69,Medium,2.6,Mild,Healthcare,0,1
8300,47,Male,South Korea,1.8,172.5,7.1,Good,28.8,63,Low,12.8,None,Service,1,0
8301,52,Female,Switzerland,2.7,259.6,5.6,Fair,21.6,72,Medium,11.6,Moderate,Student,0,1
8302,29,Female,UK,2.7,258.1,5.3,Fair,15.0,65,Medium,13.7,Mild,Healthcare,0,1
8303,26,Female,Belgium,4.1,392.0,6.9,Good,19.1,52,Low,7.9,None,Service,0,0
8304,36,Female,Italy,2.5,238.6,6.7,Good,21.8,71,Low,10.1,None,Office,0,1
8305,44,Male,Netherlands,2.5,242.2,6.1,Good,20.8,72,Low,11.3,None,Other,0,0
8306,44,Female,Sweden,3.9,368.0,7.1,Good,23.5,90,Low,8.9,None,Student,0,1
8307,18,Male,India,2.7,255.1,6.2,Good,25.1,62,Low,10.6,None,Student,0,0
8308,57,Male,Italy,1.6,156.4,4.9,Poor,25.2,70,High,8.0,Moderate,Other,0,1
8309,27,Male,Spain,0.9,81.6,7.7,Good,23.5,81,Low,6.0,None,Healthcare,0,0
8310,31,Female,Japan,1.6,149.3,5.9,Fair,27.8,72,Medium,14.7,Mild,Other,0,1
8311,24,Male,Netherlands,2.9,272.1,7.5,Good,28.4,78,Low,7.2,None,Other,0,0
8312,67,Male,Belgium,0.6,52.3,7.4,Good,26.1,72,Low,12.6,Mild,Student,0,1
8313,37,Female,UK,2.9,276.4,3.4,Poor,28.1,71,High,9.0,Mild,Healthcare,0,0
8314,24,Female,South Korea,0.2,22.1,6.6,Good,18.3,70,Low,4.1,None,Other,1,1
8315,45,Male,Spain,1.0,95.5,5.7,Fair,15.9,74,Medium,1.7,Mild,Healthcare,0,0
8316,44,Female,UK,3.5,330.4,7.6,Good,20.0,81,Low,13.7,None,Office,0,1
8317,32,Female,Australia,1.8,174.1,6.0,Good,25.4,86,Low,5.1,None,Student,0,0
8318,45,Male,Germany,2.8,270.3,7.6,Good,28.0,56,Low,4.4,None,Student,0,1
8319,25,Female,Germany,2.4,229.6,6.7,Good,19.8,62,Low,11.2,None,Office,0,0
8320,29,Female,France,4.8,459.5,5.6,Fair,25.5,85,Medium,9.7,Mild,Other,0,0
8321,18,Female,Belgium,2.7,256.9,7.2,Good,27.9,81,Low,9.9,None,Office,0,1
8322,19,Female,France,1.0,91.7,7.9,Good,22.2,71,Low,2.0,None,Office,0,0
8323,56,Female,Brazil,3.4,324.2,5.1,Fair,21.9,73,Medium,3.7,Moderate,Student,0,1
8324,54,Male,France,0.9,87.4,5.0,Fair,27.0,75,Medium,7.4,Moderate,Service,0,0
8325,35,Female,Brazil,4.0,378.9,6.3,Good,20.8,76,Low,13.0,None,Student,0,0
8326,54,Male,France,3.7,350.6,6.0,Fair,20.9,66,Medium,6.4,Moderate,Office,0,1
8327,33,Male,Mexico,2.9,279.7,7.1,Good,22.8,57,Low,2.1,None,Student,0,0
8328,32,Male,India,3.6,345.1,7.4,Good,23.1,64,Low,6.0,None,Service,0,0
8329,35,Female,China,4.3,404.7,4.4,Poor,22.4,70,High,4.4,Mild,Office,0,0
8330,33,Male,UK,2.5,233.6,6.2,Good,15.0,71,Low,14.9,None,Student,0,1
8331,32,Male,China,2.8,261.8,4.7,Poor,24.5,65,High,5.6,Mild,Other,0,0
8332,48,Male,France,2.9,272.0,4.9,Poor,30.0,90,High,9.2,Mild,Office,0,0
8333,36,Female,Finland,1.4,133.1,4.8,Poor,23.2,61,High,8.6,Mild,Service,0,0
8334,43,Male,Japan,1.6,155.4,6.3,Good,19.9,61,Low,2.6,None,Student,0,1
8335,47,Female,Belgium,2.6,245.7,4.7,Poor,26.9,69,High,2.0,Mild,Office,0,1
8336,39,Male,Australia,2.5,236.6,5.8,Fair,22.5,61,Medium,0.3,Mild,Student,0,0
8337,23,Male,Spain,2.9,273.7,5.5,Fair,21.2,84,Medium,2.1,Mild,Healthcare,0,0
8338,18,Female,Netherlands,1.8,167.2,6.3,Good,27.9,70,Low,10.9,None,Office,1,0
8339,36,Female,Belgium,0.3,27.7,7.0,Good,22.1,89,Low,9.5,None,Office,0,0
8340,32,Male,Sweden,4.7,447.0,6.2,Good,25.0,87,Low,4.3,None,Healthcare,0,0
8341,36,Male,France,0.4,38.9,5.5,Fair,28.3,67,Medium,3.2,Mild,Student,1,0
8342,34,Male,Netherlands,3.7,353.4,6.4,Good,24.5,64,Low,0.5,None,Other,0,0
8343,66,Female,Netherlands,2.0,194.2,6.2,Good,22.4,74,Low,4.2,Mild,Other,0,0
8344,19,Male,Australia,2.8,266.0,7.1,Good,25.9,84,Low,5.0,None,Other,0,1
8345,18,Female,USA,3.5,331.9,5.7,Fair,15.0,60,Medium,13.0,Mild,Healthcare,0,1
8346,38,Male,France,1.8,172.5,7.4,Good,27.1,51,Low,0.2,None,Service,0,1
8347,30,Male,China,0.4,42.6,5.8,Fair,20.9,65,Medium,4.0,Mild,Office,0,1
8348,38,Male,China,4.0,380.0,5.3,Fair,24.4,64,Medium,14.3,Mild,Service,0,0
8349,42,Female,China,3.5,332.8,6.3,Good,24.2,81,Low,12.8,None,Office,0,0
8350,50,Female,China,2.6,247.8,4.5,Poor,25.4,60,High,13.2,Mild,Service,0,0
8351,18,Male,Mexico,3.7,355.1,5.4,Fair,25.3,76,Medium,0.0,Mild,Service,0,0
8352,28,Female,Finland,3.0,284.3,7.9,Good,20.6,65,Low,5.4,None,Healthcare,0,0
8353,40,Male,Switzerland,2.4,229.7,7.4,Good,21.7,63,Low,7.2,None,Healthcare,0,0
8354,44,Female,Finland,2.2,208.9,6.2,Good,20.8,75,Low,1.6,None,Service,1,1
8355,61,Female,Brazil,0.0,0.0,9.8,Excellent,22.4,57,Low,1.2,Mild,Office,0,1
8356,46,Male,France,2.9,275.6,6.4,Good,17.4,83,Low,5.4,None,Student,0,0
8357,34,Female,Norway,1.0,92.7,7.0,Good,15.0,73,Low,13.8,None,Service,1,0
8358,24,Female,Norway,3.2,300.2,8.3,Excellent,25.8,63,Low,6.0,None,Healthcare,0,1
8359,28,Male,Mexico,2.1,196.0,7.1,Good,30.0,92,Low,11.4,None,Office,0,0
8360,27,Female,Sweden,0.0,0.0,6.6,Good,19.6,86,Low,9.0,None,Student,0,1
8361,42,Male,China,2.4,228.5,7.5,Good,26.7,52,Low,13.3,None,Service,0,0
8362,38,Female,Belgium,1.8,173.5,7.5,Good,18.6,67,Low,5.0,None,Healthcare,0,0
8363,19,Male,USA,4.6,433.9,5.4,Fair,23.9,67,Medium,2.0,Mild,Other,1,0
8364,29,Female,Brazil,0.0,0.0,6.7,Good,26.4,62,Low,2.1,None,Office,0,0
8365,45,Male,South Korea,1.3,119.2,7.0,Good,31.1,82,Low,2.8,Mild,Student,1,1
8366,39,Male,Japan,0.7,69.6,7.1,Good,24.3,61,Low,12.1,None,Healthcare,0,0
8367,41,Male,Brazil,3.7,350.0,5.4,Fair,19.3,69,Medium,8.6,Mild,Other,0,0
8368,39,Male,Japan,2.8,267.8,6.9,Good,24.1,68,Low,8.2,None,Service,0,0
8369,54,Female,Canada,3.6,344.0,6.0,Good,24.8,50,Low,1.8,Mild,Office,1,0
8370,37,Male,Japan,0.8,78.7,7.4,Good,33.8,78,Low,2.7,Mild,Student,0,0
8371,30,Female,Belgium,1.1,100.2,7.9,Good,33.1,86,Low,3.1,Mild,Healthcare,0,0
8372,24,Male,Italy,2.6,245.8,5.6,Fair,26.8,63,Medium,11.3,Mild,Service,0,0
8373,37,Female,Finland,5.1,484.7,5.8,Fair,21.7,77,Medium,10.4,Mild,Healthcare,0,0
8374,18,Female,Australia,3.3,315.0,6.7,Good,24.6,73,Low,8.8,None,Other,0,1
8375,32,Other,Germany,1.2,112.5,7.7,Good,19.3,78,Low,1.5,None,Service,0,1
8376,32,Other,Switzerland,2.8,268.6,5.9,Fair,20.6,86,Medium,2.3,Mild,Healthcare,0,1
8377,18,Female,South Korea,3.4,322.4,6.5,Good,28.6,70,Low,3.9,None,Office,0,1
8378,23,Female,Finland,0.5,43.8,8.9,Excellent,27.5,57,Low,12.5,None,Office,1,0
8379,44,Male,Finland,2.1,201.2,7.7,Good,26.2,93,Low,10.8,None,Student,1,1
8380,37,Female,Brazil,2.2,211.8,6.4,Good,22.0,70,Low,13.7,None,Office,0,0
8381,36,Female,India,5.2,493.4,8.5,Excellent,17.1,62,Low,0.5,None,Office,1,1
8382,38,Male,UK,2.6,251.2,7.2,Good,23.6,67,Low,12.3,None,Student,0,0
8383,36,Female,Brazil,5.0,474.6,8.3,Excellent,19.8,71,Low,0.4,None,Service,1,1
8384,49,Male,UK,1.4,130.9,8.1,Excellent,20.4,59,Low,10.0,None,Healthcare,0,0
8385,36,Female,South Korea,3.3,315.6,9.9,Excellent,26.5,62,Low,9.7,None,Service,0,0
8386,18,Male,India,0.4,39.9,8.7,Excellent,33.6,80,Low,4.0,Mild,Healthcare,0,1
8387,54,Female,China,3.4,325.2,5.9,Fair,23.6,74,Medium,11.2,Moderate,Office,0,0
8388,39,Female,Australia,1.9,182.4,7.7,Good,24.8,78,Low,6.3,None,Other,1,0
8389,27,Female,Spain,2.0,191.2,5.6,Fair,19.9,77,Medium,9.5,Mild,Student,0,1
8390,19,Female,Mexico,3.6,339.1,7.6,Good,20.6,61,Low,9.5,None,Service,0,1
8391,39,Female,Mexico,3.7,353.4,8.5,Excellent,23.5,71,Low,13.2,None,Healthcare,0,0
8392,33,Male,USA,3.0,281.0,5.6,Fair,15.0,85,Medium,10.1,Mild,Other,0,0
8393,53,Male,USA,5.2,495.1,7.1,Good,19.9,73,Low,10.1,Mild,Healthcare,0,0
8394,30,Male,Germany,2.6,247.3,7.4,Good,26.3,80,Low,8.9,None,Student,1,0
8395,24,Male,India,3.0,284.1,7.4,Good,30.7,77,Low,1.5,Mild,Service,0,0
8396,45,Male,Italy,2.9,275.2,5.1,Fair,25.7,62,Medium,4.5,Mild,Student,0,0
8397,46,Female,Italy,3.6,337.4,5.9,Fair,21.1,82,Medium,6.9,Mild,Service,1,0
8398,37,Female,Japan,2.5,240.9,7.0,Good,19.0,85,Low,3.8,None,Student,0,0
8399,43,Female,Mexico,1.0,91.8,6.4,Good,23.0,71,Low,2.5,None,Service,0,1
8400,34,Male,South Korea,3.1,291.5,5.4,Fair,23.3,81,Medium,7.7,Mild,Office,0,1
8401,37,Male,France,0.2,18.7,8.1,Excellent,20.8,71,Low,12.5,None,Service,0,0
8402,48,Female,India,3.8,359.6,5.7,Fair,27.2,72,Medium,9.5,Mild,Office,1,0
8403,42,Male,Finland,4.3,404.6,6.3,Good,18.7,68,Low,10.4,None,Other,1,0
8404,32,Male,Mexico,1.8,168.3,9.4,Excellent,21.2,60,Low,2.1,None,Service,0,1
8405,51,Male,Canada,1.7,163.5,8.0,Good,22.5,64,Low,12.0,Mild,Healthcare,0,1
8406,18,Male,Sweden,0.0,0.0,7.1,Good,32.8,59,Low,1.7,Mild,Service,0,0
8407,59,Male,France,2.4,229.8,7.1,Good,27.6,83,Low,4.2,Mild,Service,0,0
8408,18,Male,Sweden,3.1,292.1,6.9,Good,25.8,71,Low,13.2,None,Other,0,0
8409,27,Male,Mexico,3.0,284.9,4.8,Poor,27.1,83,High,13.8,Mild,Healthcare,0,1
8410,34,Female,Italy,2.9,275.9,7.0,Good,24.9,50,Low,1.3,None,Office,1,0
8411,33,Male,USA,2.1,199.8,8.1,Excellent,25.1,60,Low,2.4,None,Service,0,0
8412,47,Male,Switzerland,3.9,367.3,6.3,Good,23.2,66,Low,5.4,None,Service,0,0
8413,22,Female,UK,1.1,99.8,7.7,Good,28.9,79,Low,10.7,None,Healthcare,0,1
8414,38,Female,Switzerland,1.1,103.4,7.5,Good,24.6,72,Low,2.2,None,Other,0,0
8415,28,Male,Spain,0.5,45.2,7.7,Good,22.1,70,Low,2.3,None,Healthcare,0,1
8416,38,Female,Switzerland,1.5,143.9,5.5,Fair,27.9,54,Medium,8.2,Mild,Healthcare,0,1
8417,34,Male,China,0.8,74.4,7.4,Good,23.2,78,Low,8.9,None,Student,0,0
8418,36,Male,Japan,0.0,0.0,9.1,Excellent,23.9,69,Low,1.3,None,Office,0,0
8419,28,Other,UK,1.4,134.6,6.8,Good,23.2,89,Low,6.1,None,Other,0,1
8420,28,Female,Japan,3.7,353.2,6.1,Good,30.4,50,Low,11.0,Mild,Service,0,0
8421,38,Male,Australia,2.9,278.8,7.6,Good,23.5,70,Low,5.1,None,Other,0,1
8422,46,Female,France,3.4,327.1,7.6,Good,25.0,60,Low,3.6,None,Other,1,1
8423,27,Female,USA,3.3,312.7,8.0,Good,15.0,60,Low,1.7,None,Healthcare,0,0
8424,24,Male,Norway,2.0,191.5,6.6,Good,23.5,64,Low,7.0,None,Service,0,0
8425,42,Male,Japan,2.2,204.9,7.3,Good,24.7,86,Low,14.1,None,Service,0,0
8426,34,Male,Mexico,1.4,135.2,9.1,Excellent,29.8,71,Low,9.2,None,Student,0,0
8427,44,Female,Norway,2.9,272.8,5.6,Fair,26.6,68,Medium,1.0,Mild,Service,0,0
8428,24,Male,Germany,6.8,644.9,4.3,Poor,23.8,70,High,3.9,Mild,Student,0,0
8429,18,Female,India,0.5,51.7,7.9,Good,23.2,73,Low,11.1,None,Healthcare,0,0
8430,28,Male,Italy,4.0,379.7,6.9,Good,15.0,67,Low,11.4,None,Office,1,0
8431,25,Male,USA,1.7,161.5,6.3,Good,21.4,73,Low,5.6,None,Other,1,0
8432,34,Female,Finland,4.7,444.6,5.5,Fair,24.3,74,Medium,1.0,Mild,Other,0,0
8433,27,Female,Switzerland,3.1,289.9,6.5,Good,15.7,70,Low,8.1,None,Service,0,0
8434,43,Male,Italy,1.6,155.8,8.0,Good,25.3,74,Low,11.0,None,Service,1,0
8435,31,Male,Spain,2.1,203.9,7.8,Good,29.2,63,Low,5.0,None,Other,0,1
8436,36,Female,Switzerland,3.6,339.6,6.7,Good,29.4,69,Low,11.8,None,Office,0,0
8437,36,Male,Spain,5.0,478.3,5.7,Fair,21.0,59,Medium,4.9,Mild,Office,0,0
8438,37,Male,Italy,3.7,352.4,3.4,Poor,30.3,54,High,2.5,Moderate,Office,1,0
8439,34,Female,South Korea,1.8,174.2,7.3,Good,23.4,84,Low,12.0,None,Service,0,0
8440,41,Female,Norway,3.2,307.0,7.3,Good,20.3,79,Low,2.0,None,Service,0,0
8441,25,Male,Canada,4.9,465.1,6.1,Good,22.3,85,Low,3.7,None,Office,0,0
8442,51,Female,Australia,3.2,303.8,9.3,Excellent,24.2,81,Low,12.8,Mild,Other,0,1
8443,32,Female,Finland,2.3,219.1,5.8,Fair,15.1,64,Medium,7.8,Mild,Student,0,0
8444,19,Male,USA,0.4,36.1,8.7,Excellent,28.2,50,Low,2.3,None,Other,0,0
8445,37,Female,Spain,4.3,412.7,7.3,Good,16.3,64,Low,9.2,None,Student,0,0
8446,24,Male,Canada,2.3,219.1,6.4,Good,23.2,75,Low,8.8,None,Office,0,0
8447,42,Male,Germany,1.4,136.6,4.9,Poor,28.2,71,High,8.3,Mild,Service,1,0
8448,61,Male,China,3.6,341.9,8.1,Excellent,23.9,72,Low,5.1,Mild,Office,1,1
8449,25,Male,Australia,3.7,347.5,6.5,Good,26.1,68,Low,6.1,None,Healthcare,0,1
8450,38,Female,Netherlands,1.1,106.0,9.0,Excellent,29.1,58,Low,11.4,None,Service,0,0
8451,18,Male,Finland,1.4,130.0,6.9,Good,27.3,87,Low,13.9,None,Student,1,0
8452,40,Female,Brazil,3.3,317.7,8.2,Excellent,25.1,77,Low,8.7,None,Service,0,0
8453,24,Male,Switzerland,4.3,409.8,4.6,Poor,35.1,77,High,14.0,Moderate,Office,0,0
8454,27,Male,UK,2.0,190.5,5.1,Fair,18.3,55,Medium,2.6,Mild,Student,0,0
8455,21,Female,Australia,2.2,208.0,6.2,Good,25.6,69,Low,4.4,None,Healthcare,0,0
8456,43,Female,Mexico,1.5,139.1,4.2,Poor,26.3,76,High,12.5,Mild,Other,0,1
8457,47,Female,India,4.3,413.0,6.7,Good,16.9,91,Low,14.4,None,Healthcare,0,1
8458,35,Female,Spain,3.5,331.1,5.6,Fair,21.6,82,Medium,13.4,Mild,Other,0,0
8459,24,Male,India,0.8,78.6,7.8,Good,19.8,67,Low,7.4,None,Service,0,0
8460,54,Female,Sweden,5.0,474.2,3.9,Poor,24.2,79,High,12.2,Moderate,Office,0,0
8461,25,Male,USA,7.7,729.2,7.2,Good,22.5,77,Low,3.0,None,Office,0,0
8462,18,Female,Netherlands,0.0,0.0,7.1,Good,31.8,78,Low,4.8,Mild,Other,0,0
8463,40,Female,Norway,3.0,287.2,7.6,Good,28.4,68,Low,15.0,None,Office,1,0
8464,21,Male,Italy,0.2,17.1,6.8,Good,25.2,71,Low,2.7,None,Service,1,1
8465,46,Male,India,2.1,195.2,4.7,Poor,23.8,62,High,3.6,Mild,Healthcare,0,0
8466,30,Female,Germany,0.3,28.5,8.5,Excellent,15.1,66,Low,10.8,None,Service,0,0
8467,42,Female,Switzerland,4.7,447.0,7.2,Good,17.1,84,Low,10.0,None,Service,0,1
8468,51,Male,France,1.9,185.1,7.9,Good,25.7,73,Low,10.8,Mild,Healthcare,1,0
8469,20,Female,France,4.0,381.5,6.5,Good,24.8,57,Low,14.3,None,Student,1,0
8470,28,Female,France,2.8,262.0,8.8,Excellent,16.9,66,Low,1.8,None,Student,0,1
8471,34,Male,Brazil,5.1,480.3,9.3,Excellent,26.5,79,Low,8.7,None,Other,1,0
8472,53,Male,Brazil,0.7,65.0,8.5,Excellent,22.3,52,Low,3.9,Mild,Other,0,0
8473,27,Female,Netherlands,0.0,0.0,5.3,Fair,19.6,77,Medium,5.9,Mild,Student,0,0
8474,27,Male,Italy,1.6,155.0,7.1,Good,24.9,81,Low,4.9,None,Student,0,0
8475,40,Male,Japan,1.9,184.2,5.9,Fair,26.3,74,Medium,14.0,Mild,Service,0,0
8476,28,Female,France,0.1,10.5,5.4,Fair,21.3,63,Medium,14.2,Mild,Office,0,0
8477,36,Female,China,3.1,298.7,6.4,Good,26.5,55,Low,7.5,None,Other,0,0
8478,18,Female,Germany,3.1,291.9,7.9,Good,20.9,60,Low,10.9,None,Office,0,1
8479,61,Male,Brazil,4.5,427.5,5.8,Fair,21.9,88,Medium,3.2,Moderate,Healthcare,0,0
8480,18,Female,Spain,4.1,385.0,5.7,Fair,15.0,70,Medium,5.1,Mild,Student,0,0
8481,31,Female,Norway,1.8,166.4,6.4,Good,25.3,83,Low,9.9,None,Service,0,1
8482,34,Male,South Korea,0.8,72.6,9.4,Excellent,17.4,67,Low,10.1,None,Healthcare,0,0
8483,57,Female,UK,0.0,0.0,7.6,Good,20.0,62,Low,13.6,Mild,Other,0,1
8484,19,Female,Netherlands,2.2,209.4,5.8,Fair,21.9,70,Medium,11.3,Mild,Service,0,0
8485,58,Female,France,2.2,206.9,8.8,Excellent,28.4,83,Low,12.6,Mild,Healthcare,0,0
8486,44,Female,Mexico,3.1,292.4,6.7,Good,21.8,77,Low,12.4,None,Healthcare,0,0
8487,40,Male,China,0.1,5.1,6.0,Fair,28.7,59,Medium,4.1,Mild,Office,0,1
8488,23,Female,USA,2.7,257.5,6.0,Good,18.0,64,Low,12.2,None,Student,0,1
8489,41,Female,Sweden,3.3,312.7,5.5,Fair,26.0,57,Medium,3.1,Mild,Service,1,0
8490,26,Female,Finland,1.5,145.1,6.6,Good,27.4,83,Low,0.2,None,Service,0,0
8491,50,Other,France,3.3,317.8,6.4,Good,23.7,73,Low,9.2,None,Service,0,0
8492,23,Male,Belgium,2.1,203.2,6.9,Good,28.3,73,Low,5.5,None,Healthcare,0,0
8493,33,Male,Switzerland,4.3,406.4,5.7,Fair,22.7,76,Medium,10.1,Mild,Student,1,0
8494,28,Male,Mexico,4.7,441.8,7.0,Good,24.3,71,Low,3.3,None,Service,0,1
8495,23,Female,Spain,2.5,241.4,8.5,Excellent,15.0,64,Low,3.8,None,Healthcare,0,1
8496,43,Male,Switzerland,3.8,360.0,5.7,Fair,22.0,52,Medium,13.5,Mild,Student,0,0
8497,41,Female,Australia,0.5,44.9,8.5,Excellent,19.5,72,Low,10.0,None,Healthcare,0,0
8498,49,Male,Germany,1.8,169.8,7.0,Good,27.7,92,Low,1.3,None,Service,0,0
8499,18,Male,Brazil,3.1,289.8,6.4,Good,27.3,61,Low,5.3,None,Office,0,0
8500,47,Male,Norway,1.8,173.8,7.6,Good,28.7,52,Low,9.8,None,Service,0,0
8501,65,Female,France,2.1,198.0,7.3,Good,15.0,68,Low,10.7,Mild,Other,0,0
8502,29,Female,Mexico,1.0,98.7,7.6,Good,24.7,74,Low,7.5,None,Other,0,1
8503,57,Female,Italy,5.1,484.4,5.4,Fair,25.3,62,Medium,3.8,Moderate,Office,0,0
8504,31,Female,South Korea,1.1,101.3,5.6,Fair,16.5,64,Medium,10.0,Mild,Service,0,0
8505,18,Male,India,3.7,347.4,3.9,Poor,18.2,59,High,1.3,Mild,Service,0,0
8506,31,Male,South Korea,1.7,165.5,7.2,Good,32.6,71,Low,11.9,Mild,Student,1,0
8507,47,Other,USA,3.4,326.0,5.4,Fair,27.0,75,Medium,11.3,Mild,Other,0,0
8508,24,Female,South Korea,1.6,147.9,6.1,Good,22.6,67,Low,4.3,None,Office,0,0
8509,27,Male,France,2.0,187.1,6.6,Good,28.4,61,Low,0.9,None,Student,0,1
8510,42,Female,Italy,3.1,295.0,5.1,Fair,19.2,77,Medium,1.3,Mild,Healthcare,0,0
8511,35,Male,Japan,3.4,324.0,8.2,Excellent,25.1,79,Low,6.4,None,Healthcare,0,0
8512,42,Male,Finland,3.8,362.7,6.1,Good,26.9,69,Low,2.8,None,Student,1,0
8513,37,Male,Switzerland,2.5,241.6,7.3,Good,18.3,74,Low,6.5,None,Office,0,0
8514,40,Female,Canada,4.1,390.7,7.4,Good,20.3,80,Low,0.9,None,Student,0,0
8515,29,Male,South Korea,2.8,270.6,4.4,Poor,23.9,63,High,6.6,Mild,Office,0,0
8516,37,Male,Belgium,2.3,216.1,6.2,Good,28.7,56,Low,13.5,None,Service,0,0
8517,23,Male,Italy,3.8,358.0,7.5,Good,30.6,79,Low,10.2,Mild,Healthcare,0,0
8518,50,Male,South Korea,2.7,252.8,5.4,Fair,30.4,90,Medium,1.0,Moderate,Healthcare,1,0
8519,27,Female,India,2.9,271.4,7.0,Good,27.0,51,Low,1.3,None,Student,0,0
8520,48,Male,South Korea,1.0,96.8,5.8,Fair,24.2,86,Medium,7.6,Mild,Other,1,1
8521,32,Male,Canada,1.5,145.9,7.3,Good,35.3,70,Low,4.0,Mild,Student,0,0
8522,37,Female,Japan,3.1,295.6,5.9,Fair,25.0,81,Medium,6.6,Mild,Service,0,0
8523,29,Male,Spain,1.2,111.7,6.9,Good,26.3,57,Low,11.5,None,Student,0,1
8524,22,Male,India,2.5,241.6,8.2,Excellent,28.8,65,Low,5.9,None,Office,0,0
8525,18,Male,Belgium,0.0,0.0,7.9,Good,20.3,79,Low,4.5,None,Service,0,1
8526,22,Female,Canada,5.4,509.0,5.3,Fair,28.1,82,Medium,13.4,Mild,Healthcare,0,1
8527,31,Female,South Korea,3.5,333.6,7.1,Good,20.6,68,Low,10.7,None,Office,0,1
8528,37,Male,Switzerland,1.8,173.5,7.2,Good,27.9,69,Low,9.5,None,Student,0,1
8529,47,Female,Netherlands,4.8,452.3,7.7,Good,28.3,67,Low,1.1,None,Other,0,1
8530,29,Female,Norway,1.2,110.4,6.9,Good,26.6,57,Low,7.5,None,Other,0,1
8531,24,Female,UK,1.7,157.5,6.8,Good,24.9,72,Low,13.4,None,Office,0,0
8532,18,Male,India,3.3,309.8,7.5,Good,29.9,70,Low,12.3,None,Student,0,1
8533,40,Male,USA,3.9,370.2,7.4,Good,18.1,67,Low,1.0,None,Other,0,0
8534,51,Female,Brazil,1.6,155.9,10.0,Excellent,22.0,57,Low,11.3,Mild,Office,0,0
8535,50,Female,Germany,3.2,302.9,8.4,Excellent,20.6,69,Low,13.1,None,Other,0,0
8536,43,Female,Switzerland,3.0,285.5,6.6,Good,23.3,73,Low,3.7,None,Office,0,0
8537,42,Male,Sweden,2.5,233.9,6.5,Good,23.4,77,Low,7.8,None,Office,1,0
8538,55,Male,Mexico,1.7,160.2,5.9,Fair,23.3,72,Medium,13.3,Moderate,Student,0,1
8539,38,Female,Switzerland,3.8,357.5,4.7,Poor,34.1,56,High,13.2,Moderate,Other,0,0
8540,42,Female,Finland,0.0,0.0,7.1,Good,21.9,67,Low,6.2,None,Office,0,0
8541,31,Male,Canada,2.7,257.3,4.0,Poor,23.5,80,High,7.6,Mild,Healthcare,0,0
8542,18,Male,Switzerland,1.5,140.1,9.2,Excellent,31.7,65,Low,1.6,Mild,Office,1,0
8543,26,Male,Mexico,2.3,220.2,5.7,Fair,27.5,51,Medium,8.0,Mild,Office,0,0
8544,34,Female,UK,1.5,138.6,8.3,Excellent,25.6,65,Low,12.9,None,Service,0,0
8545,35,Female,Brazil,0.7,65.5,6.8,Good,29.9,64,Low,2.6,None,Office,0,0
8546,58,Female,Belgium,1.5,145.5,7.5,Good,20.0,81,Low,6.9,Mild,Student,1,0
8547,35,Female,Japan,1.7,158.5,5.2,Fair,28.9,77,Medium,9.6,Mild,Student,0,0
8548,49,Male,Germany,2.2,204.5,7.4,Good,29.7,90,Low,0.7,None,Office,1,0
8549,29,Female,Brazil,2.5,235.8,6.8,Good,30.4,74,Low,0.5,Mild,Student,0,0
8550,31,Other,Japan,3.4,326.8,8.8,Excellent,26.4,97,Low,12.7,None,Office,0,0
8551,19,Female,Belgium,4.7,448.7,4.8,Poor,22.4,93,High,14.5,Mild,Student,0,0
8552,26,Female,Finland,2.6,247.2,5.0,Fair,28.8,77,Medium,11.4,Mild,Healthcare,0,0
8553,41,Male,Norway,0.9,88.7,5.6,Fair,19.1,79,Medium,14.4,Mild,Office,1,0
8554,35,Female,UK,3.7,348.0,4.0,Poor,27.0,81,High,2.3,Mild,Office,0,0
8555,46,Female,UK,2.9,275.3,5.6,Fair,26.0,78,Medium,13.1,Mild,Healthcare,0,1
8556,37,Female,Italy,1.0,95.4,5.7,Fair,25.3,61,Medium,13.6,Mild,Student,0,1
8557,30,Male,Australia,2.6,248.3,6.6,Good,23.8,69,Low,4.4,None,Student,0,0
8558,60,Female,France,3.5,333.8,6.5,Good,30.4,69,Low,9.7,Moderate,Other,0,0
8559,33,Male,Italy,1.2,117.0,5.0,Fair,26.3,81,Medium,4.6,Mild,Healthcare,1,1
8560,48,Male,Australia,1.7,157.1,8.2,Excellent,27.7,76,Low,1.6,None,Healthcare,0,0
8561,30,Male,South Korea,2.6,248.3,7.3,Good,24.4,73,Low,12.2,None,Service,0,1
8562,43,Female,China,2.1,196.1,7.8,Good,28.7,58,Low,13.6,None,Student,1,0
8563,46,Male,Mexico,0.2,17.0,8.4,Excellent,22.7,64,Low,1.7,None,Office,1,0
8564,37,Male,Italy,6.0,571.7,4.9,Poor,19.4,67,High,9.7,Mild,Healthcare,0,1
8565,18,Female,Switzerland,1.6,151.6,6.1,Good,22.0,91,Low,14.6,None,Service,0,0
8566,35,Female,Japan,1.4,137.7,7.3,Good,21.6,68,Low,4.1,None,Student,0,1
8567,49,Female,Finland,1.9,183.7,8.3,Excellent,15.0,62,Low,11.3,None,Office,0,0
8568,41,Male,Brazil,2.3,221.6,7.0,Good,24.1,72,Low,6.2,None,Service,0,0
8569,40,Female,Australia,3.0,281.8,6.6,Good,18.6,74,Low,1.0,None,Healthcare,0,0
8570,18,Male,China,0.9,83.6,6.1,Good,22.9,69,Low,10.5,None,Office,1,0
8571,26,Male,Norway,4.4,415.1,4.8,Poor,24.2,86,High,3.7,Mild,Office,0,1
8572,39,Male,China,0.3,33.2,8.4,Excellent,21.3,82,Low,8.9,None,Other,0,1
8573,39,Female,France,1.8,172.4,6.3,Good,24.7,64,Low,1.1,None,Service,0,1
8574,49,Male,China,3.6,344.9,6.5,Good,23.3,64,Low,1.8,None,Office,1,0
8575,33,Male,Australia,3.5,336.1,8.5,Excellent,20.0,57,Low,0.1,None,Healthcare,0,1
8576,39,Male,Italy,0.0,0.0,6.6,Good,21.1,106,Low,3.3,None,Office,0,0
8577,35,Female,India,2.4,227.2,6.8,Good,26.7,64,Low,2.0,None,Other,0,1
8578,23,Female,France,2.6,243.7,6.1,Good,25.9,71,Low,4.4,None,Other,0,0
8579,18,Female,Belgium,2.8,269.5,5.0,Fair,34.0,66,Medium,3.1,Moderate,Office,0,1
8580,40,Male,South Korea,1.6,150.0,7.2,Good,21.2,58,Low,4.0,None,Student,0,0
8581,37,Male,Brazil,2.1,200.0,4.4,Poor,23.1,84,High,1.9,Mild,Office,0,1
8582,27,Male,UK,3.3,309.8,8.3,Excellent,21.1,76,Low,2.7,None,Other,0,0
8583,18,Female,Sweden,3.6,342.6,4.0,Poor,19.8,69,High,4.2,Mild,Other,0,0
8584,42,Male,Sweden,0.3,31.6,6.7,Good,21.1,51,Low,6.5,None,Healthcare,1,0
8585,31,Male,Finland,3.2,302.6,5.9,Fair,20.6,70,Medium,3.9,Mild,Healthcare,0,0
8586,41,Female,UK,3.0,286.2,7.9,Good,24.7,76,Low,2.8,None,Student,0,0
8587,57,Male,China,3.8,356.8,5.6,Fair,21.5,61,Medium,9.5,Moderate,Healthcare,0,0
8588,18,Male,China,1.2,113.2,4.9,Poor,22.0,79,High,5.4,Mild,Office,0,0
8589,26,Male,Spain,3.2,299.6,5.0,Poor,21.5,83,High,9.1,Mild,Office,1,1
8590,32,Male,Canada,0.0,0.0,4.5,Poor,21.4,74,High,6.0,Mild,Other,0,1
8591,52,Female,Belgium,1.9,184.1,7.8,Good,23.1,61,Low,6.2,Mild,Office,1,0
8592,18,Female,Spain,2.0,190.9,8.9,Excellent,33.3,64,Low,5.6,Mild,Other,0,0
8593,58,Male,Netherlands,2.6,248.7,8.1,Excellent,25.7,76,Low,12.8,Mild,Office,0,0
8594,36,Male,India,3.6,340.7,6.6,Good,26.6,83,Low,5.8,None,Office,0,0
8595,33,Female,France,0.9,81.4,7.3,Good,16.2,65,Low,9.0,None,Office,0,0
8596,32,Female,Mexico,4.3,408.6,6.0,Fair,24.0,71,Medium,7.0,Mild,Office,0,0
8597,29,Male,Japan,0.0,0.0,6.4,Good,21.1,63,Low,8.9,None,Healthcare,1,0
8598,47,Female,Spain,0.0,0.0,7.6,Good,25.3,66,Low,2.9,None,Healthcare,0,1
8599,22,Male,Finland,3.9,371.5,4.9,Poor,27.7,84,High,1.8,Mild,Other,0,0
8600,39,Female,Canada,2.7,252.3,7.3,Good,24.3,71,Low,8.9,None,Service,0,1
8601,30,Female,Sweden,5.1,480.7,6.2,Good,23.4,62,Low,14.7,None,Office,0,1
8602,25,Female,India,3.6,346.7,7.3,Good,23.6,58,Low,3.9,None,Other,1,1
8603,66,Female,Canada,2.5,239.3,7.3,Good,22.9,68,Low,0.0,Mild,Other,0,1
8604,40,Male,China,1.8,167.4,5.3,Fair,15.6,85,Medium,13.7,Mild,Office,0,0
8605,42,Female,Netherlands,1.6,148.1,7.7,Good,23.0,60,Low,2.0,None,Office,0,1
8606,48,Female,Switzerland,3.1,289.8,8.4,Excellent,19.9,77,Low,13.0,None,Other,1,1
8607,18,Female,China,1.6,154.6,7.7,Good,15.0,77,Low,7.7,None,Other,0,0
8608,56,Male,Mexico,2.9,273.1,5.5,Fair,24.8,58,Medium,2.7,Moderate,Healthcare,1,0
8609,18,Female,Canada,1.5,141.2,7.9,Good,17.5,61,Low,3.0,None,Healthcare,0,1
8610,25,Female,Norway,2.8,266.4,7.2,Good,24.4,65,Low,7.9,None,Office,0,0
8611,29,Male,USA,4.8,456.9,4.1,Poor,21.1,78,High,11.9,Mild,Other,1,1
8612,41,Male,UK,3.3,316.5,6.3,Good,18.7,51,Low,12.2,None,Office,1,0
8613,37,Male,France,1.8,170.7,7.7,Good,26.9,83,Low,3.6,None,Student,0,1
8614,32,Female,Mexico,3.0,287.5,6.5,Good,26.3,61,Low,10.7,None,Office,0,1
8615,34,Female,UK,2.9,276.9,7.2,Good,26.0,66,Low,7.2,None,Office,0,1
8616,23,Female,Finland,2.8,267.0,5.9,Fair,22.0,50,Medium,9.3,Mild,Other,0,0
8617,18,Male,Norway,3.1,292.2,6.9,Good,19.7,65,Low,1.9,None,Other,0,0
8618,43,Female,Switzerland,3.9,366.8,7.9,Good,21.6,88,Low,6.5,None,Healthcare,0,1
8619,43,Female,France,4.1,390.7,7.0,Good,23.3,62,Low,1.8,None,Service,0,1
8620,54,Male,Canada,2.5,237.8,7.0,Good,18.5,85,Low,7.5,Mild,Office,0,0
8621,25,Male,Belgium,0.4,41.1,7.1,Good,25.6,53,Low,0.9,None,Healthcare,0,0
8622,43,Male,Italy,2.6,249.6,6.5,Good,30.0,62,Low,2.0,None,Student,0,0
8623,31,Female,Switzerland,2.3,215.0,5.8,Fair,22.5,71,Medium,4.9,Mild,Office,0,1
8624,49,Male,Finland,3.3,316.0,6.1,Good,23.9,74,Low,7.7,None,Service,0,0
8625,47,Male,Italy,0.7,65.0,7.1,Good,31.5,73,Low,1.7,Mild,Student,0,1
8626,37,Male,Norway,3.3,308.8,4.1,Poor,26.7,57,High,13.2,Mild,Office,1,0
8627,30,Female,UK,2.7,255.7,8.1,Excellent,25.1,86,Low,4.2,None,Other,0,0
8628,46,Male,Finland,1.0,98.7,6.2,Good,21.7,68,Low,8.8,None,Service,0,0
8629,42,Male,Canada,0.0,0.0,5.6,Fair,28.1,78,Medium,2.1,Mild,Other,1,1
8630,26,Male,India,3.8,361.4,8.8,Excellent,24.3,64,Low,11.1,None,Student,0,0
8631,19,Male,Canada,1.0,96.6,7.1,Good,25.0,73,Low,8.1,None,Healthcare,0,0
8632,31,Male,Finland,0.3,26.6,8.3,Excellent,15.0,66,Low,14.0,None,Other,0,0
8633,53,Female,India,1.7,157.0,6.0,Fair,28.2,81,Medium,10.3,Moderate,Service,0,1
8634,48,Female,Netherlands,4.3,404.4,7.7,Good,24.6,78,Low,14.7,None,Other,0,0
8635,21,Female,Norway,2.8,265.3,7.5,Good,21.4,74,Low,12.2,None,Healthcare,0,0
8636,20,Female,Sweden,3.2,300.9,6.1,Good,27.5,71,Low,8.0,None,Office,0,0
8637,50,Male,India,2.4,230.7,4.6,Poor,25.6,54,High,3.4,Mild,Healthcare,0,0
8638,21,Female,Spain,3.0,280.5,7.8,Good,27.8,86,Low,5.1,None,Student,0,0
8639,41,Male,China,2.2,208.4,6.4,Good,21.1,93,Low,5.6,None,Office,0,0
8640,27,Male,UK,1.8,170.4,8.1,Excellent,21.9,73,Low,13.7,None,Other,0,0
8641,54,Female,Spain,1.5,146.2,6.3,Good,22.2,63,Low,3.9,Mild,Other,0,0
8642,25,Female,Finland,2.0,193.8,6.6,Good,20.6,68,Low,10.8,None,Healthcare,1,0
8643,48,Female,Finland,6.1,581.4,6.5,Good,22.9,85,Low,8.8,None,Office,0,1
8644,37,Female,Canada,3.4,318.8,8.9,Excellent,27.0,68,Low,2.6,None,Healthcare,0,0
8645,38,Other,Brazil,1.2,115.3,5.9,Fair,20.9,85,Medium,4.0,Mild,Office,0,0
8646,18,Female,USA,0.5,47.9,6.4,Good,25.3,74,Low,4.3,None,Healthcare,1,0
8647,18,Female,South Korea,2.4,224.6,6.0,Fair,15.6,61,Medium,2.7,Mild,Service,1,0
8648,32,Female,Canada,0.0,0.0,6.2,Good,25.7,80,Low,11.8,None,Service,1,0
8649,37,Male,Italy,3.9,366.6,6.4,Good,25.7,79,Low,4.7,None,Office,0,1
8650,21,Male,Norway,0.0,0.0,8.3,Excellent,22.1,63,Low,8.0,None,Office,1,0
8651,21,Female,Italy,2.0,193.0,6.2,Good,21.7,73,Low,11.1,None,Healthcare,0,0
8652,41,Male,Belgium,0.0,0.0,9.3,Excellent,27.7,57,Low,14.5,None,Service,0,1
8653,41,Male,Switzerland,3.2,301.3,8.1,Excellent,19.5,71,Low,13.7,None,Healthcare,0,0
8654,33,Male,India,1.4,129.5,6.7,Good,30.5,76,Low,3.2,Mild,Other,1,1
8655,44,Male,India,3.6,337.9,5.6,Fair,23.6,65,Medium,13.4,Mild,Office,0,1
8656,20,Female,Norway,0.0,0.0,7.9,Good,21.8,77,Low,12.7,None,Service,0,1
8657,30,Female,Mexico,4.2,398.5,8.2,Excellent,17.1,70,Low,0.4,None,Other,0,0
8658,54,Female,Italy,3.0,287.5,7.8,Good,26.6,66,Low,13.3,Mild,Office,0,1
8659,35,Female,Spain,2.4,232.5,5.8,Fair,24.3,90,Medium,8.0,Mild,Service,0,0
8660,36,Female,India,1.2,117.5,6.6,Good,26.5,80,Low,2.9,None,Other,0,0
8661,62,Female,South Korea,2.0,193.4,5.0,Poor,29.5,50,High,14.9,Moderate,Healthcare,1,0
8662,18,Female,Spain,3.6,339.7,4.9,Poor,21.0,84,High,4.7,Mild,Healthcare,0,1
8663,44,Male,Norway,1.2,118.4,8.0,Good,22.3,71,Low,2.8,None,Service,0,1
8664,54,Male,Australia,2.3,221.6,7.4,Good,20.0,74,Low,2.6,Mild,Student,0,0
8665,31,Male,Australia,2.0,194.7,8.7,Excellent,21.0,66,Low,7.9,None,Student,0,0
8666,45,Female,Italy,2.8,263.4,5.2,Fair,28.2,61,Medium,2.6,Mild,Office,1,1
8667,23,Female,Mexico,0.4,38.8,8.6,Excellent,27.2,84,Low,7.8,None,Office,1,0
8668,26,Female,France,4.7,444.4,7.9,Good,24.5,69,Low,11.1,None,Other,1,0
8669,39,Female,Italy,3.9,371.0,8.9,Excellent,26.2,67,Low,14.2,None,Other,1,0
8670,44,Male,Netherlands,0.0,0.0,8.0,Excellent,31.2,55,Low,5.5,Mild,Healthcare,1,0
8671,48,Male,Germany,0.0,0.0,3.9,Poor,22.5,76,High,14.6,Mild,Student,0,0
8672,53,Female,Norway,4.6,437.8,7.0,Good,27.3,62,Low,14.8,Mild,Office,0,0
8673,34,Male,Sweden,2.6,247.0,4.4,Poor,26.5,60,High,8.8,Mild,Student,0,0
8674,49,Female,USA,0.0,0.0,4.4,Poor,20.9,79,High,4.5,Mild,Other,0,0
8675,30,Female,Mexico,1.8,167.0,7.1,Good,23.5,50,Low,12.8,None,Student,1,0
8676,45,Female,USA,2.1,196.2,7.6,Good,21.4,58,Low,0.8,None,Healthcare,0,0
8677,37,Male,Sweden,3.5,328.6,4.4,Poor,30.0,78,High,6.6,Moderate,Office,0,0
8678,40,Female,Finland,3.9,372.2,3.8,Poor,19.5,82,High,9.5,Mild,Healthcare,1,1
8679,40,Female,South Korea,2.7,255.4,6.1,Good,15.6,57,Low,14.7,None,Office,0,1
8680,18,Other,Brazil,2.2,212.9,7.3,Good,17.7,85,Low,10.4,None,Healthcare,0,0
8681,21,Female,Brazil,1.8,169.9,6.7,Good,21.8,78,Low,3.5,None,Other,0,1
8682,36,Female,Finland,4.6,438.1,5.9,Fair,25.1,64,Medium,12.8,Mild,Service,0,0
8683,18,Male,UK,1.9,177.3,5.3,Fair,18.1,78,Medium,9.9,Mild,Healthcare,0,0
8684,44,Female,Germany,3.3,311.2,6.1,Good,25.0,74,Low,13.0,None,Healthcare,0,0
8685,45,Female,Norway,0.9,84.5,8.1,Excellent,25.5,67,Low,10.4,None,Student,0,0
8686,38,Male,China,0.6,57.0,7.1,Good,22.5,76,Low,5.2,None,Other,0,0
8687,21,Male,China,2.8,264.7,7.0,Good,23.3,65,Low,1.7,None,Service,0,0
8688,51,Male,Sweden,1.9,183.4,8.8,Excellent,26.0,78,Low,10.4,Mild,Service,0,1
8689,59,Female,Canada,0.4,41.6,9.3,Excellent,25.1,64,Low,3.0,Mild,Office,0,1
8690,36,Male,South Korea,2.0,191.6,9.0,Excellent,24.5,75,Low,1.0,None,Office,0,0
8691,41,Male,South Korea,6.2,592.0,9.3,Excellent,16.1,66,Low,4.4,None,Service,0,0
8692,37,Female,South Korea,2.4,232.2,5.6,Fair,21.6,68,Medium,4.8,Mild,Service,1,0
8693,41,Female,Finland,2.1,194.8,5.3,Fair,19.4,60,Medium,14.9,Mild,Other,0,0
8694,33,Male,UK,2.1,195.0,7.3,Good,26.4,59,Low,8.5,None,Service,0,0
8695,34,Male,South Korea,4.3,408.3,6.0,Good,22.1,84,Low,14.9,None,Office,1,0
8696,45,Male,USA,2.3,216.8,6.7,Good,29.8,80,Low,11.6,None,Office,1,0
8697,63,Male,Canada,2.9,272.9,4.1,Poor,28.8,85,High,7.4,Moderate,Student,0,0
8698,18,Male,UK,3.6,339.6,6.9,Good,29.4,76,Low,4.3,None,Service,0,0
8699,33,Female,Mexico,4.5,423.3,5.8,Fair,22.5,93,Medium,3.4,Mild,Other,0,0
8700,20,Female,Germany,1.4,133.8,6.3,Good,21.4,62,Low,3.5,None,Healthcare,1,1
8701,54,Female,Brazil,1.1,100.4,6.7,Good,22.6,73,Low,12.9,Mild,Office,0,1
8702,27,Male,USA,1.4,135.8,4.9,Poor,27.8,50,High,5.9,Mild,Healthcare,1,1
8703,18,Female,Finland,3.5,330.6,5.7,Fair,28.7,74,Medium,6.8,Mild,Office,0,1
8704,42,Female,Canada,3.7,346.9,8.2,Excellent,23.0,61,Low,9.3,None,Other,0,0
8705,55,Male,UK,2.8,265.4,7.0,Good,28.5,69,Low,0.8,Mild,Healthcare,0,0
8706,42,Male,France,4.0,377.0,8.1,Excellent,23.1,57,Low,7.1,None,Student,0,0
8707,37,Female,Canada,3.7,347.0,5.0,Fair,24.8,63,Medium,0.2,Mild,Other,0,1
8708,39,Female,Belgium,1.6,148.9,7.1,Good,22.2,89,Low,11.2,None,Office,0,0
8709,51,Male,Netherlands,0.3,23.8,5.7,Fair,32.0,76,Medium,0.3,Severe,Service,0,0
8710,24,Female,UK,1.8,174.9,9.3,Excellent,31.5,59,Low,10.6,Mild,Healthcare,0,0
8711,33,Female,Switzerland,3.3,314.1,5.2,Fair,27.2,71,Medium,3.0,Mild,Service,0,0
8712,29,Female,Italy,3.2,307.9,7.7,Good,23.0,83,Low,12.2,None,Office,0,0
8713,20,Male,Switzerland,0.0,0.0,6.5,Good,17.1,50,Low,4.7,None,Healthcare,0,0
8714,31,Female,Norway,0.0,0.0,8.4,Excellent,24.3,81,Low,13.6,None,Healthcare,0,0
8715,48,Male,Netherlands,3.5,335.9,4.9,Poor,26.3,70,High,11.1,Mild,Healthcare,0,0
8716,41,Female,India,3.6,339.4,5.9,Fair,18.3,98,Medium,3.2,Mild,Other,0,0
8717,42,Female,Australia,3.0,288.7,7.3,Good,31.0,63,Low,13.3,Mild,Other,0,1
8718,36,Male,Australia,3.9,366.5,6.3,Good,29.7,79,Low,0.3,None,Other,0,0
8719,41,Female,Italy,2.8,267.5,6.8,Good,20.4,51,Low,9.3,None,Other,0,1
8720,25,Male,Brazil,0.5,48.1,6.4,Good,24.6,68,Low,12.6,None,Office,0,1
8721,31,Female,Switzerland,2.0,193.3,6.5,Good,24.9,68,Low,1.9,None,Student,0,0
8722,37,Male,UK,2.4,226.5,6.3,Good,23.8,63,Low,0.7,None,Office,1,0
8723,38,Female,Mexico,1.6,156.3,5.9,Fair,25.0,70,Medium,13.3,Mild,Healthcare,0,1
8724,38,Male,Canada,1.6,153.8,9.2,Excellent,21.5,76,Low,4.4,None,Other,0,0
8725,33,Female,France,2.4,224.3,8.6,Excellent,23.5,87,Low,10.0,None,Healthcare,0,1
8726,30,Female,Mexico,1.3,119.4,8.5,Excellent,24.6,73,Low,12.6,None,Other,1,0
8727,72,Female,Canada,0.0,0.0,7.9,Good,21.5,69,Low,1.7,Mild,Service,0,0
8728,45,Male,China,2.7,252.8,7.8,Good,26.9,73,Low,5.7,None,Service,0,0
8729,39,Female,Japan,4.4,414.9,5.5,Fair,24.1,77,Medium,10.9,Mild,Other,0,0
8730,32,Male,France,0.0,0.0,5.7,Fair,22.0,70,Medium,1.2,Mild,Service,0,0
8731,29,Female,China,2.7,261.1,8.1,Excellent,20.4,85,Low,11.2,None,Other,0,0
8732,33,Female,Japan,1.0,93.4,7.4,Good,26.5,67,Low,13.2,None,Student,0,0
8733,38,Female,France,3.5,334.4,8.0,Excellent,24.4,56,Low,11.9,None,Healthcare,0,0
8734,18,Female,Brazil,3.1,291.8,7.1,Good,21.0,68,Low,3.6,None,Office,0,0
8735,18,Male,UK,4.1,387.5,5.5,Fair,22.7,73,Medium,12.6,Mild,Office,0,0
8736,27,Female,Sweden,1.2,117.2,5.5,Fair,22.6,73,Medium,10.4,Mild,Office,0,0
8737,37,Male,Brazil,2.6,246.9,7.3,Good,27.4,80,Low,11.2,None,Other,0,0
8738,32,Female,Canada,6.2,592.3,7.1,Good,30.1,86,Low,11.2,Mild,Other,0,0
8739,52,Female,Japan,2.8,266.4,7.3,Good,23.4,59,Low,6.7,Mild,Student,0,0
8740,18,Female,USA,3.6,338.6,5.3,Fair,25.5,71,Medium,13.5,Mild,Other,0,0
8741,25,Female,Canada,4.6,437.5,6.6,Good,26.5,90,Low,1.9,None,Office,0,0
8742,53,Male,Netherlands,1.2,111.7,7.2,Good,19.4,57,Low,14.4,Mild,Service,0,0
8743,36,Female,Mexico,0.0,0.0,6.3,Good,24.2,62,Low,0.1,None,Healthcare,0,0
8744,45,Male,India,0.0,0.0,8.7,Excellent,25.8,73,Low,11.5,None,Other,0,1
8745,59,Female,Belgium,0.8,72.2,6.8,Good,26.1,50,Low,2.8,Mild,Office,0,0
8746,26,Female,Spain,1.9,177.8,8.6,Excellent,23.0,55,Low,1.0,None,Healthcare,0,1
8747,33,Male,Norway,3.2,308.3,7.1,Good,18.8,78,Low,7.5,None,Healthcare,0,0
8748,31,Male,India,3.9,373.3,6.3,Good,26.0,78,Low,7.7,None,Other,0,0
8749,18,Male,Belgium,0.9,84.3,7.1,Good,25.0,76,Low,10.0,None,Other,0,1
8750,31,Other,Belgium,5.7,543.1,3.7,Poor,27.3,75,High,8.9,Mild,Other,0,0
8751,45,Male,Italy,4.5,422.8,6.4,Good,15.6,63,Low,0.5,None,Student,0,1
8752,41,Female,China,1.7,165.4,4.0,Poor,24.1,70,High,3.1,Mild,Office,0,0
8753,42,Female,Norway,6.1,576.8,5.5,Fair,22.7,83,Medium,10.7,Mild,Other,0,0
8754,30,Male,Germany,3.4,322.1,7.0,Good,22.0,55,Low,14.1,None,Healthcare,0,0
8755,27,Male,Netherlands,2.4,228.0,6.2,Good,19.1,82,Low,11.5,None,Student,0,0
8756,50,Female,Mexico,1.1,104.0,8.7,Excellent,20.1,56,Low,14.8,None,Office,0,0
8757,29,Male,USA,0.8,78.6,7.0,Good,24.6,78,Low,1.9,None,Service,0,0
8758,38,Female,Norway,3.9,371.1,7.3,Good,21.0,65,Low,14.4,None,Other,0,0
8759,36,Male,Norway,2.6,251.2,6.5,Good,20.1,66,Low,5.6,None,Other,1,1
8760,52,Male,South Korea,3.1,298.0,7.1,Good,23.8,59,Low,8.4,Mild,Service,0,0
8761,46,Female,Australia,0.8,75.5,6.6,Good,20.7,102,Low,14.6,None,Other,0,0
8762,19,Male,UK,3.3,315.1,7.3,Good,23.7,75,Low,6.7,None,Office,0,1
8763,20,Female,Finland,2.6,248.1,8.1,Excellent,23.6,84,Low,4.7,None,Student,0,0
8764,41,Female,Mexico,0.9,82.9,7.1,Good,24.8,52,Low,11.9,None,Healthcare,0,1
8765,34,Male,China,0.4,34.8,8.7,Excellent,20.2,79,Low,10.6,None,Service,1,0
8766,29,Male,Finland,2.6,243.0,6.4,Good,27.4,81,Low,0.3,None,Office,0,1
8767,47,Male,Switzerland,3.5,335.1,8.1,Excellent,27.0,72,Low,7.3,None,Office,1,0
8768,37,Male,Sweden,4.1,388.7,7.4,Good,23.8,67,Low,13.8,None,Service,0,0
8769,35,Female,UK,2.8,270.7,6.4,Good,25.3,62,Low,8.2,None,Student,1,0
8770,44,Female,Finland,1.3,122.6,7.7,Good,25.7,77,Low,9.2,None,Student,0,0
8771,30,Male,UK,2.5,240.4,7.5,Good,26.2,62,Low,7.3,None,Healthcare,0,0
8772,53,Male,South Korea,3.0,288.1,7.7,Good,26.0,73,Low,8.8,Mild,Healthcare,0,0
8773,25,Male,Sweden,1.4,128.6,4.3,Poor,25.8,81,High,4.4,Mild,Healthcare,0,0
8774,42,Male,Spain,1.8,170.3,5.5,Fair,25.1,86,Medium,3.0,Mild,Student,0,0
8775,52,Female,Finland,2.5,241.6,6.3,Good,25.5,76,Low,5.9,Mild,Other,0,0
8776,18,Female,Netherlands,2.8,269.1,6.9,Good,15.4,67,Low,3.5,None,Other,0,1
8777,30,Female,Sweden,0.6,58.2,7.7,Good,19.5,76,Low,13.7,None,Other,0,1
8778,48,Male,South Korea,1.7,158.9,6.3,Good,26.2,78,Low,2.2,None,Service,1,1
8779,48,Female,Spain,2.7,257.5,7.6,Good,19.7,56,Low,3.6,None,Service,0,0
8780,32,Male,Germany,3.2,308.3,4.0,Poor,24.0,69,High,11.8,Mild,Service,0,0
8781,26,Female,France,2.7,257.4,5.0,Poor,20.7,64,High,1.5,Mild,Service,0,0
8782,46,Male,Germany,2.9,279.1,6.0,Fair,24.9,78,Medium,12.0,Mild,Student,0,0
8783,49,Female,Spain,2.9,274.0,9.1,Excellent,15.0,50,Low,8.7,None,Service,0,1
8784,21,Female,UK,1.3,120.4,7.9,Good,25.1,68,Low,6.9,None,Healthcare,0,1
8785,20,Male,Switzerland,4.6,433.9,5.9,Fair,23.4,77,Medium,13.1,Mild,Service,0,0
8786,37,Female,Mexico,1.9,182.7,8.7,Excellent,20.1,58,Low,6.0,None,Office,0,0
8787,42,Female,Italy,1.4,129.9,5.6,Fair,27.6,70,Medium,4.1,Mild,Other,0,0
8788,31,Male,Switzerland,0.3,29.7,6.1,Good,30.7,73,Low,8.1,Mild,Office,0,0
8789,43,Male,Australia,1.7,163.9,7.1,Good,15.4,50,Low,8.4,None,Office,0,0
8790,26,Female,Belgium,1.5,138.5,6.9,Good,21.3,70,Low,1.8,None,Healthcare,0,0
8791,18,Female,Finland,1.9,183.8,7.2,Good,17.9,63,Low,11.8,None,Student,0,0
8792,29,Female,Netherlands,3.0,282.9,6.1,Good,16.9,62,Low,5.6,None,Healthcare,1,1
8793,35,Female,UK,4.3,407.0,7.2,Good,24.4,82,Low,1.9,None,Student,0,0
8794,31,Female,Netherlands,3.7,353.4,6.6,Good,19.7,93,Low,1.5,None,Healthcare,0,0
8795,21,Female,USA,0.0,0.0,8.5,Excellent,19.7,77,Low,8.5,None,Student,0,1
8796,18,Female,Belgium,4.0,381.2,7.4,Good,20.9,78,Low,5.6,None,Service,0,0
8797,28,Male,Brazil,3.3,311.8,5.7,Fair,23.7,54,Medium,4.8,Mild,Healthcare,0,0
8798,45,Female,Netherlands,5.2,494.2,4.8,Poor,28.4,67,High,6.9,Mild,Office,0,0
8799,50,Male,Switzerland,1.5,146.6,8.1,Excellent,25.3,73,Low,11.9,None,Healthcare,0,0
8800,49,Male,France,1.0,93.9,5.5,Fair,25.2,62,Medium,2.6,Mild,Office,0,0
8801,25,Female,France,3.8,360.7,7.7,Good,20.6,96,Low,1.8,None,Student,0,1
8802,21,Male,USA,3.6,344.9,6.1,Good,27.5,70,Low,13.1,None,Service,0,1
8803,40,Male,Belgium,1.5,141.1,7.5,Good,28.3,85,Low,12.2,None,Service,0,1
8804,42,Male,UK,2.1,201.3,5.9,Fair,27.5,76,Medium,2.5,Mild,Service,0,0
8805,39,Female,Sweden,3.2,305.7,7.1,Good,21.0,76,Low,8.4,None,Office,1,0
8806,18,Female,USA,3.0,287.2,7.9,Good,27.2,75,Low,8.2,None,Other,1,0
8807,24,Female,India,2.4,232.3,6.1,Good,28.8,90,Low,11.6,None,Other,0,0
8808,34,Female,India,2.6,250.7,5.5,Fair,27.3,69,Medium,4.9,Mild,Healthcare,0,0
8809,40,Male,Japan,1.3,120.9,5.9,Fair,23.3,59,Medium,1.0,Mild,Other,1,0
8810,44,Male,Sweden,2.2,208.7,3.9,Poor,20.6,69,High,2.8,Mild,Other,0,0
8811,36,Male,UK,0.4,40.1,5.9,Fair,24.7,59,Medium,3.2,Mild,Other,0,1
8812,38,Male,Mexico,2.5,236.7,8.1,Excellent,22.0,61,Low,7.0,None,Other,1,0
8813,36,Male,Australia,0.4,42.3,4.9,Poor,15.0,65,High,7.6,Mild,Office,0,1
8814,43,Male,Spain,0.8,80.3,6.2,Good,21.4,63,Low,3.1,None,Service,0,0
8815,38,Male,France,7.3,691.6,6.1,Good,25.0,50,Low,4.8,None,Student,0,0
8816,35,Female,Canada,0.0,0.0,7.1,Good,25.7,69,Low,11.8,None,Office,0,0
8817,31,Female,Norway,4.0,376.4,5.4,Fair,30.1,78,Medium,0.7,Moderate,Other,0,1
8818,35,Female,South Korea,2.9,276.3,8.1,Excellent,29.5,68,Low,11.1,None,Other,0,1
8819,40,Female,South Korea,3.0,280.3,7.5,Good,25.9,88,Low,14.7,None,Office,1,0
8820,38,Male,UK,0.9,85.5,5.7,Fair,20.7,76,Medium,11.4,Mild,Student,1,0
8821,39,Female,Mexico,3.6,341.5,6.3,Good,24.4,79,Low,14.0,None,Service,0,0
8822,51,Male,South Korea,0.0,0.0,6.3,Good,22.3,55,Low,3.9,Mild,Other,1,0
8823,38,Female,Germany,1.8,167.1,7.3,Good,15.4,70,Low,7.8,None,Healthcare,0,0
8824,27,Female,Australia,2.5,240.2,8.4,Excellent,34.7,79,Low,6.2,Mild,Student,0,0
8825,45,Female,Norway,5.0,474.5,6.9,Good,19.6,65,Low,4.1,None,Other,0,0
8826,18,Female,Norway,3.5,330.9,8.4,Excellent,16.6,93,Low,0.6,None,Healthcare,0,0
8827,22,Female,Finland,1.9,176.0,6.6,Good,16.5,81,Low,11.4,None,Office,0,1
8828,39,Female,Canada,2.1,197.8,4.8,Poor,23.1,77,High,10.9,Mild,Service,0,1
8829,41,Male,Netherlands,3.4,319.2,5.6,Fair,28.0,70,Medium,8.5,Mild,Healthcare,0,0
8830,20,Female,Japan,0.7,64.8,7.8,Good,21.1,50,Low,14.6,None,Other,0,1
8831,30,Male,Japan,4.2,395.7,6.3,Good,26.1,80,Low,13.0,None,Healthcare,0,1
8832,27,Female,Spain,2.4,224.0,6.8,Good,25.4,64,Low,8.4,None,Office,0,0
8833,29,Male,France,1.2,112.8,6.3,Good,22.7,63,Low,13.8,None,Other,1,1
8834,46,Male,Canada,0.4,38.7,6.3,Good,19.8,66,Low,8.4,None,Student,1,0
8835,43,Female,South Korea,0.0,0.0,8.4,Excellent,27.4,56,Low,12.6,None,Healthcare,0,1
8836,34,Male,UK,5.1,487.1,8.5,Excellent,24.6,62,Low,7.5,None,Student,0,0
8837,28,Female,France,0.0,0.0,6.4,Good,24.0,77,Low,12.1,None,Office,0,0
8838,18,Male,UK,3.2,305.8,5.8,Fair,29.0,76,Medium,6.7,Mild,Healthcare,0,1
8839,52,Female,Norway,3.2,299.3,7.6,Good,25.2,74,Low,8.6,Mild,Service,0,0
8840,42,Female,USA,1.8,169.6,8.6,Excellent,20.9,54,Low,2.9,None,Office,1,1
8841,26,Female,Germany,2.3,221.3,8.0,Good,28.1,84,Low,9.3,None,Healthcare,0,0
8842,43,Male,Belgium,1.9,180.4,9.0,Excellent,29.4,76,Low,12.0,None,Healthcare,0,1
8843,34,Male,Switzerland,2.8,269.3,8.0,Good,25.6,54,Low,12.6,None,Service,0,1
8844,31,Female,Finland,1.9,182.1,7.7,Good,23.2,79,Low,11.5,None,Healthcare,0,0
8845,40,Male,China,2.1,196.3,8.2,Excellent,30.8,65,Low,0.2,Mild,Healthcare,1,0
8846,26,Male,Belgium,2.4,225.7,7.2,Good,30.2,76,Low,14.0,Mild,Student,0,0
8847,30,Female,Canada,3.4,326.6,6.7,Good,25.7,54,Low,0.9,None,Student,0,0
8848,36,Male,Brazil,3.4,322.9,7.2,Good,18.6,66,Low,10.6,None,Other,0,0
8849,29,Male,Japan,2.3,219.7,7.3,Good,21.2,50,Low,12.3,None,Healthcare,0,0
8850,43,Male,Italy,2.1,201.4,5.9,Fair,33.3,70,Medium,11.5,Moderate,Office,0,1
8851,57,Male,Mexico,3.3,317.8,7.2,Good,21.4,77,Low,11.6,Mild,Office,0,0
8852,25,Female,USA,1.2,115.0,7.0,Good,28.7,63,Low,3.4,None,Healthcare,0,0
8853,18,Male,Mexico,0.8,71.4,7.5,Good,19.7,72,Low,1.3,None,Other,0,0
8854,18,Female,Australia,0.5,46.3,7.0,Good,21.2,57,Low,7.1,None,Student,1,1
8855,33,Male,China,2.9,271.6,7.1,Good,21.9,70,Low,9.5,None,Student,0,0
8856,27,Male,Japan,4.1,393.4,6.8,Good,26.2,86,Low,12.4,None,Other,0,1
8857,37,Female,Canada,2.6,247.6,5.3,Fair,25.1,69,Medium,5.3,Mild,Healthcare,0,0
8858,36,Male,Norway,2.9,275.1,5.7,Fair,34.8,81,Medium,12.4,Moderate,Other,0,0
8859,18,Female,USA,1.7,163.5,5.0,Poor,17.1,77,High,7.5,Mild,Office,1,1
8860,18,Female,Spain,2.9,274.6,8.3,Excellent,16.8,80,Low,11.8,None,Healthcare,1,1
8861,38,Male,Japan,2.7,257.0,6.6,Good,21.6,55,Low,3.4,None,Healthcare,1,1
8862,36,Female,Canada,3.2,306.3,6.9,Good,25.2,79,Low,11.5,None,Other,0,0
8863,29,Male,China,0.0,0.0,7.0,Good,25.6,84,Low,3.2,None,Other,1,0
8864,18,Male,France,3.1,298.6,5.3,Fair,23.6,88,Medium,1.2,Mild,Service,1,0
8865,40,Male,Italy,3.4,327.4,6.3,Good,20.0,62,Low,11.8,None,Service,0,0
8866,50,Female,Norway,3.4,324.0,6.5,Good,23.4,72,Low,11.7,None,Student,0,1
8867,38,Male,Switzerland,2.3,220.2,4.5,Poor,20.2,57,High,1.7,Mild,Service,0,0
8868,24,Female,USA,5.1,487.6,6.8,Good,23.9,67,Low,6.4,None,Student,1,0
8869,35,Female,UK,3.9,371.1,6.8,Good,27.6,59,Low,0.5,None,Office,1,0
8870,18,Male,South Korea,4.7,444.4,5.9,Fair,15.1,82,Medium,10.8,Mild,Service,1,0
8871,47,Male,Japan,3.2,302.1,8.3,Excellent,28.4,81,Low,11.7,None,Other,0,0
8872,35,Female,Spain,2.5,237.7,7.1,Good,16.5,77,Low,10.1,None,Student,0,1
8873,18,Female,USA,3.4,321.8,7.6,Good,19.5,73,Low,7.9,None,Student,0,1
8874,31,Male,Brazil,1.6,148.3,7.2,Good,34.2,73,Low,2.0,Mild,Office,0,1
8875,40,Female,Mexico,3.7,355.5,6.9,Good,21.6,70,Low,14.8,None,Service,0,0
8876,31,Male,Brazil,1.8,172.8,4.1,Poor,27.9,77,High,3.8,Mild,Other,1,0
8877,31,Female,USA,1.6,153.5,6.1,Good,29.6,81,Low,12.6,None,Student,0,1
8878,20,Female,Australia,0.5,49.9,6.8,Good,28.0,78,Low,1.1,None,Office,0,0
8879,41,Female,UK,4.0,380.9,5.1,Fair,17.3,84,Medium,2.9,Mild,Office,0,1
8880,27,Female,Norway,5.5,524.5,5.9,Fair,22.8,99,Medium,10.3,Mild,Service,0,1
8881,18,Female,South Korea,4.6,432.5,7.4,Good,20.1,79,Low,0.6,None,Other,0,0
8882,30,Female,Brazil,3.9,365.9,6.4,Good,25.4,60,Low,0.1,None,Service,0,1
8883,46,Female,Spain,3.9,369.9,4.8,Poor,21.3,61,High,9.2,Mild,Student,0,0
8884,30,Male,Canada,3.8,365.0,7.0,Good,28.7,60,Low,10.1,None,Other,0,0
8885,55,Female,Germany,2.3,219.5,4.3,Poor,26.5,69,High,10.6,Moderate,Service,0,0
8886,40,Male,South Korea,1.9,183.1,7.4,Good,21.7,69,Low,13.0,None,Other,0,1
8887,39,Male,Spain,1.0,98.8,6.2,Good,23.7,70,Low,4.8,None,Office,0,0
8888,33,Male,Canada,5.3,502.8,8.5,Excellent,25.6,72,Low,1.3,None,Office,1,0
8889,34,Male,UK,2.2,208.9,4.9,Poor,23.6,74,High,6.0,Mild,Healthcare,0,1
8890,31,Male,Mexico,2.7,257.8,6.6,Good,20.4,73,Low,3.8,None,Office,0,1
8891,31,Female,Sweden,0.8,77.4,5.5,Fair,22.6,84,Medium,14.4,Mild,Service,1,0
8892,41,Male,South Korea,1.3,127.2,6.3,Good,21.8,84,Low,3.0,None,Office,0,1
8893,23,Female,Sweden,1.0,97.2,9.4,Excellent,15.9,68,Low,10.5,None,Student,0,0
8894,22,Male,India,2.0,186.3,6.2,Good,27.3,73,Low,13.8,None,Office,0,0
8895,21,Male,UK,3.5,328.4,5.0,Fair,21.3,89,Medium,10.0,Mild,Service,0,0
8896,59,Male,Finland,3.2,303.9,7.3,Good,21.6,66,Low,1.0,Mild,Student,0,0
8897,41,Male,China,3.4,323.3,6.1,Good,26.9,62,Low,13.9,None,Healthcare,0,0
8898,38,Female,Germany,2.5,235.2,6.2,Good,25.0,63,Low,2.2,None,Office,0,1
8899,22,Female,India,3.6,344.2,6.0,Good,22.6,58,Low,3.0,None,Healthcare,1,1
8900,42,Male,Australia,2.3,216.5,6.3,Good,24.6,65,Low,10.9,None,Service,0,1
8901,33,Male,Finland,3.2,302.5,7.9,Good,22.0,55,Low,7.4,None,Other,0,0
8902,37,Female,Mexico,1.9,181.5,4.8,Poor,19.8,62,High,11.7,Mild,Service,0,0
8903,23,Male,France,4.2,394.9,6.5,Good,22.6,86,Low,2.5,None,Office,0,0
8904,36,Male,Switzerland,1.2,110.0,7.1,Good,22.5,54,Low,12.8,None,Healthcare,0,0
8905,29,Female,India,4.2,398.0,6.6,Good,20.8,71,Low,4.6,None,Service,1,1
8906,25,Male,Canada,3.0,289.1,5.2,Fair,18.4,63,Medium,7.8,Mild,Healthcare,1,0
8907,43,Female,South Korea,4.8,453.7,5.1,Fair,23.9,73,Medium,1.7,Mild,Student,0,0
8908,18,Female,France,1.5,143.4,6.4,Good,15.0,69,Low,5.3,None,Healthcare,0,0
8909,41,Male,Mexico,2.2,204.6,5.5,Fair,24.0,77,Medium,5.4,Mild,Service,0,0
8910,43,Male,Japan,2.1,200.7,7.1,Good,22.4,72,Low,14.5,None,Student,0,0
8911,24,Female,Norway,1.2,114.5,8.2,Excellent,23.4,56,Low,12.5,None,Service,0,1
8912,25,Male,France,5.5,518.6,6.3,Good,24.4,73,Low,0.9,None,Other,0,0
8913,32,Female,India,1.4,136.0,6.4,Good,26.5,50,Low,4.3,None,Office,1,0
8914,38,Female,Germany,1.1,105.8,4.3,Poor,21.4,51,High,3.1,Mild,Service,0,0
8915,33,Male,Italy,4.7,444.4,6.7,Good,22.1,83,Low,4.8,None,Student,1,0
8916,40,Female,Spain,3.6,346.7,5.5,Fair,24.3,76,Medium,0.2,Mild,Other,0,1
8917,56,Male,USA,2.2,210.4,6.3,Good,19.8,64,Low,11.7,Mild,Healthcare,0,0
8918,28,Male,USA,0.0,0.0,6.1,Good,20.4,68,Low,2.1,None,Service,0,0
8919,18,Female,China,5.1,481.7,6.0,Fair,25.0,81,Medium,3.0,Mild,Service,1,1
8920,44,Female,Mexico,5.4,514.8,6.4,Good,22.7,73,Low,9.8,None,Healthcare,1,0
8921,55,Female,Finland,3.4,324.5,7.0,Good,19.8,63,Low,9.5,Mild,Student,0,0
8922,39,Male,Mexico,3.3,311.7,7.8,Good,17.9,62,Low,12.4,None,Healthcare,0,0
8923,21,Female,UK,2.8,266.6,6.3,Good,23.5,54,Low,2.1,None,Other,0,0
8924,33,Male,Switzerland,1.9,176.3,6.5,Good,25.8,63,Low,3.3,None,Service,0,1
8925,21,Female,Brazil,4.3,409.9,7.8,Good,26.8,59,Low,13.1,None,Healthcare,0,0
8926,42,Female,Sweden,1.9,182.9,7.8,Good,18.4,77,Low,10.0,None,Service,0,0
8927,18,Female,Italy,3.3,317.0,8.0,Excellent,25.6,75,Low,1.2,None,Service,0,1
8928,31,Female,India,2.8,268.6,7.7,Good,19.8,59,Low,1.4,None,Service,0,0
8929,22,Female,USA,2.5,235.8,9.5,Excellent,30.8,62,Low,8.0,Mild,Healthcare,0,0
8930,36,Other,Brazil,1.2,116.0,7.7,Good,22.8,67,Low,11.3,None,Healthcare,0,0
8931,30,Female,Switzerland,0.7,67.2,5.6,Fair,19.0,64,Medium,9.7,Mild,Office,0,0
8932,37,Female,Spain,3.2,308.0,7.4,Good,25.2,82,Low,10.2,None,Healthcare,1,0
8933,35,Female,India,1.9,176.0,7.2,Good,23.7,92,Low,8.6,None,Other,0,1
8934,23,Female,Belgium,2.7,258.1,6.1,Good,26.8,60,Low,13.2,None,Student,0,0
8935,42,Female,UK,2.8,266.1,6.0,Good,24.9,81,Low,13.5,None,Office,0,0
8936,34,Male,Mexico,3.0,281.6,6.3,Good,30.7,68,Low,9.1,Mild,Service,0,0
8937,23,Male,UK,2.3,220.4,4.1,Poor,22.5,70,High,11.0,Mild,Healthcare,0,0
8938,61,Female,UK,3.5,329.9,3.4,Poor,27.5,73,High,6.9,Moderate,Student,0,0
8939,40,Male,Switzerland,2.4,225.9,6.7,Good,21.4,65,Low,4.0,None,Student,0,0
8940,33,Female,Australia,2.1,203.3,6.1,Good,24.9,62,Low,9.5,None,Student,0,1
8941,51,Male,Italy,3.6,342.8,5.8,Fair,22.1,65,Medium,12.2,Moderate,Service,0,0
8942,57,Male,Sweden,2.5,241.3,6.2,Good,28.4,73,Low,3.9,Mild,Office,0,1
8943,33,Female,France,2.8,270.6,4.7,Poor,27.8,74,High,9.4,Mild,Student,0,0
8944,39,Female,Norway,3.9,372.3,7.3,Good,26.0,92,Low,9.3,None,Office,0,0
8945,23,Male,Mexico,3.1,297.7,6.2,Good,25.4,70,Low,13.8,None,Other,0,0
8946,33,Female,Canada,3.9,370.3,6.5,Good,26.8,66,Low,11.4,None,Other,0,1
8947,32,Female,Sweden,0.1,12.2,8.1,Excellent,27.8,65,Low,12.2,None,Student,0,0
8948,37,Male,USA,6.5,614.1,5.6,Fair,24.4,69,Medium,8.6,Mild,Student,0,1
8949,38,Male,Finland,3.6,340.2,7.5,Good,26.2,70,Low,10.9,None,Other,0,0
8950,41,Male,UK,3.4,322.8,6.9,Good,30.2,74,Low,3.7,Mild,Office,0,0
8951,37,Male,Canada,2.3,217.8,7.7,Good,23.2,95,Low,8.7,None,Office,0,1
8952,20,Male,Spain,0.3,23.8,8.1,Excellent,25.0,68,Low,9.9,None,Office,0,0
8953,23,Male,Japan,3.6,339.9,7.1,Good,22.4,57,Low,12.5,None,Healthcare,0,0
8954,28,Male,Canada,4.2,395.5,6.3,Good,29.4,87,Low,2.5,None,Other,0,1
8955,31,Female,India,0.0,0.0,7.6,Good,23.0,74,Low,4.9,None,Healthcare,0,1
8956,47,Female,Sweden,3.8,363.7,5.2,Fair,26.0,55,Medium,11.9,Mild,Healthcare,0,1
8957,21,Female,Spain,4.8,457.5,6.7,Good,32.5,74,Low,6.5,Mild,Other,0,1
8958,30,Male,Sweden,4.8,451.8,7.2,Good,28.0,73,Low,7.3,None,Healthcare,0,1
8959,46,Female,Italy,3.3,313.2,5.4,Fair,23.0,79,Medium,9.3,Mild,Healthcare,0,1
8960,31,Female,Switzerland,2.4,226.4,8.2,Excellent,27.3,95,Low,10.9,None,Service,0,0
8961,40,Female,France,3.9,372.6,6.3,Good,25.7,71,Low,4.3,None,Other,0,1
8962,33,Female,Switzerland,3.1,296.5,7.0,Good,17.8,67,Low,13.0,None,Student,0,0
8963,38,Female,Sweden,3.0,289.5,5.1,Fair,19.4,72,Medium,5.5,Mild,Student,0,0
8964,32,Female,Switzerland,1.7,162.4,4.1,Poor,22.8,67,High,3.9,Mild,Office,0,0
8965,43,Female,Finland,0.1,7.6,8.4,Excellent,25.4,56,Low,10.5,None,Office,0,0
8966,18,Male,Germany,3.8,359.6,6.3,Good,21.6,78,Low,5.4,None,Student,0,0
8967,30,Male,Finland,2.0,191.3,7.9,Good,24.1,50,Low,7.6,None,Office,0,0
8968,38,Male,Canada,1.0,97.8,6.6,Good,21.9,56,Low,5.0,None,Healthcare,1,0
8969,41,Male,Canada,0.8,79.0,5.8,Fair,20.4,56,Medium,12.8,Mild,Student,0,0
8970,52,Male,India,2.2,211.6,8.7,Excellent,22.2,70,Low,7.5,Mild,Student,0,0
8971,30,Female,Germany,0.7,63.2,6.8,Good,25.2,64,Low,1.0,None,Office,1,0
8972,52,Male,Finland,4.1,391.2,6.5,Good,26.0,80,Low,0.9,Mild,Office,0,1
8973,27,Female,UK,3.3,314.7,6.3,Good,22.6,83,Low,5.5,None,Healthcare,0,0
8974,50,Female,UK,4.2,396.7,4.7,Poor,29.9,58,High,6.1,Mild,Healthcare,0,0
8975,44,Male,China,1.0,90.6,7.5,Good,21.2,57,Low,0.6,None,Service,0,1
8976,24,Female,Germany,0.4,38.6,7.4,Good,25.0,55,Low,12.8,None,Student,0,0
8977,38,Male,UK,5.1,487.9,7.3,Good,22.4,85,Low,7.6,None,Healthcare,0,1
8978,34,Other,UK,1.3,123.4,5.8,Fair,20.6,71,Medium,8.2,Mild,Healthcare,0,0
8979,42,Female,Australia,2.6,251.1,4.7,Poor,20.4,62,High,9.8,Mild,Healthcare,0,0
8980,32,Male,USA,1.4,128.7,7.5,Good,23.6,77,Low,3.3,None,Healthcare,0,0
8981,31,Female,Sweden,1.3,120.4,8.4,Excellent,17.9,63,Low,7.8,None,Student,0,0
8982,51,Female,Italy,3.4,322.3,4.6,Poor,25.5,75,High,3.3,Moderate,Office,0,1
8983,33,Male,Italy,2.3,219.2,5.0,Poor,25.6,66,High,6.2,Mild,Office,0,1
8984,44,Female,Spain,4.5,424.7,5.7,Fair,26.5,59,Medium,9.4,Mild,Other,1,0
8985,32,Female,Mexico,0.0,0.0,5.2,Fair,30.7,78,Medium,3.5,Moderate,Office,0,0
8986,54,Male,Canada,2.5,235.0,6.2,Good,25.3,67,Low,13.3,Mild,Office,0,1
8987,26,Female,Mexico,1.7,164.7,7.2,Good,19.8,80,Low,4.4,None,Other,0,1
8988,27,Male,Netherlands,2.1,202.5,7.6,Good,22.3,89,Low,4.6,None,Service,0,0
8989,53,Male,South Korea,2.2,212.4,7.3,Good,24.1,78,Low,13.8,Mild,Service,1,1
8990,29,Male,USA,3.5,329.2,6.3,Good,23.1,81,Low,5.8,None,Other,0,0
8991,54,Female,Italy,2.2,211.1,8.2,Excellent,20.2,78,Low,2.0,Mild,Other,0,1
8992,45,Female,Belgium,2.2,212.5,4.4,Poor,21.3,66,High,6.4,Mild,Student,0,0
8993,33,Male,Mexico,5.1,485.7,5.0,Poor,25.6,80,High,5.1,Mild,Other,0,0
8994,18,Male,France,0.7,63.7,6.9,Good,26.6,69,Low,7.4,None,Student,0,0
8995,34,Male,India,0.9,82.8,5.9,Fair,22.2,52,Medium,9.2,Mild,Service,0,0
8996,36,Female,Norway,5.3,502.2,6.0,Good,24.9,77,Low,4.9,None,Student,0,0
8997,49,Male,India,5.1,481.0,6.8,Good,18.4,79,Low,10.7,None,Office,0,0
8998,54,Female,China,0.0,0.0,6.3,Good,19.7,64,Low,4.5,Mild,Office,0,1
8999,26,Female,Norway,5.7,542.9,5.5,Fair,23.7,56,Medium,12.6,Mild,Other,0,0
9000,44,Female,France,3.4,320.0,6.2,Good,18.6,87,Low,14.4,None,Service,0,0
9001,44,Male,France,1.4,136.5,7.8,Good,24.7,73,Low,0.2,None,Other,0,0
9002,47,Male,Spain,2.5,238.3,7.4,Good,18.3,81,Low,1.7,None,Service,0,1
9003,40,Male,Finland,1.9,176.3,7.7,Good,29.0,67,Low,7.7,None,Student,0,0
9004,18,Female,Canada,2.5,237.6,6.8,Good,29.2,69,Low,9.3,None,Office,0,1
9005,33,Female,Mexico,1.9,178.4,6.9,Good,29.6,60,Low,13.7,None,Healthcare,0,1
9006,21,Female,India,0.7,69.7,8.3,Excellent,20.3,87,Low,9.5,None,Healthcare,1,0
9007,32,Male,UK,0.5,49.1,5.9,Fair,27.2,98,Medium,13.0,Mild,Student,0,0
9008,46,Female,Japan,2.8,268.2,8.0,Excellent,21.5,70,Low,7.8,None,Healthcare,0,0
9009,38,Male,USA,1.3,123.4,7.0,Good,16.5,72,Low,10.3,None,Service,0,0
9010,48,Male,Canada,0.4,34.6,7.0,Good,21.0,85,Low,13.9,None,Student,0,0
9011,39,Female,USA,3.3,313.2,5.9,Fair,27.6,52,Medium,10.2,Mild,Healthcare,1,0
9012,19,Male,Italy,3.3,311.7,8.0,Good,25.2,98,Low,7.2,None,Healthcare,1,0
9013,18,Female,Switzerland,3.3,311.8,7.5,Good,21.7,90,Low,8.9,None,Office,0,1
9014,36,Female,Italy,2.6,248.6,5.0,Poor,23.2,59,High,6.5,Mild,Service,0,0
9015,32,Female,Italy,1.2,112.6,7.2,Good,21.6,60,Low,2.3,None,Healthcare,0,0
9016,23,Male,Spain,4.3,409.0,5.5,Fair,23.4,57,Medium,11.6,Mild,Office,0,0
9017,18,Male,Netherlands,3.8,363.1,6.1,Good,29.5,57,Low,6.2,None,Office,0,0
9018,26,Male,France,5.8,555.2,4.3,Poor,22.5,79,High,1.4,Mild,Healthcare,0,1
9019,32,Male,India,4.4,417.1,6.5,Good,31.3,63,Low,10.6,Mild,Other,0,0
9020,42,Female,Switzerland,3.0,282.9,6.8,Good,19.9,75,Low,11.5,None,Healthcare,0,1
9021,37,Female,Australia,5.1,489.2,6.6,Good,26.2,85,Low,1.6,None,Office,1,1
9022,54,Male,Netherlands,2.6,248.0,6.1,Good,27.8,80,Low,6.8,Mild,Office,0,0
9023,22,Female,Switzerland,2.6,249.2,6.3,Good,18.6,81,Low,7.2,None,Healthcare,0,0
9024,45,Female,Australia,2.4,230.7,4.4,Poor,25.2,78,High,3.5,Mild,Other,0,0
9025,35,Male,Canada,1.7,165.7,7.9,Good,18.7,82,Low,12.0,None,Student,0,0
9026,43,Male,USA,5.8,554.6,4.0,Poor,31.4,73,High,8.0,Moderate,Other,0,0
9027,29,Male,Canada,1.3,119.1,7.3,Good,29.2,64,Low,8.6,None,Other,0,1
9028,47,Female,Australia,0.0,1.3,6.7,Good,26.6,56,Low,5.4,None,Other,0,0
9029,38,Female,Australia,1.8,171.0,7.4,Good,24.1,79,Low,3.7,None,Healthcare,0,0
9030,26,Female,Australia,3.0,289.6,6.7,Good,21.9,81,Low,12.0,None,Student,0,0
9031,34,Male,South Korea,1.7,160.4,5.6,Fair,21.4,63,Medium,8.0,Mild,Other,0,0
9032,32,Female,Japan,2.0,186.8,7.4,Good,29.8,66,Low,3.6,None,Other,1,1
9033,40,Male,Italy,0.0,0.0,6.9,Good,24.7,69,Low,6.4,None,Service,1,0
9034,20,Other,Australia,0.6,59.5,6.6,Good,29.1,68,Low,8.3,None,Other,0,1
9035,34,Female,Norway,0.5,49.7,7.2,Good,29.3,60,Low,8.3,None,Service,0,0
9036,39,Male,Spain,3.8,356.8,7.8,Good,23.6,87,Low,8.4,None,Student,1,0
9037,35,Female,Germany,0.4,37.9,6.5,Good,23.3,65,Low,2.5,None,Other,0,1
9038,51,Female,South Korea,1.5,144.9,7.2,Good,23.0,75,Low,8.3,Mild,Office,1,0
9039,44,Female,Belgium,2.2,210.6,6.9,Good,20.7,65,Low,5.2,None,Healthcare,0,1
9040,34,Male,India,0.9,83.8,6.4,Good,23.5,62,Low,8.5,None,Office,1,0
9041,37,Male,USA,2.9,276.8,5.9,Fair,23.8,68,Medium,10.0,Mild,Other,0,0
9042,38,Female,Norway,3.2,301.6,5.3,Fair,26.6,61,Medium,3.5,Mild,Other,1,0
9043,39,Female,Canada,4.7,445.8,6.9,Good,23.6,56,Low,1.8,None,Service,1,1
9044,18,Male,Belgium,2.5,237.9,5.9,Fair,27.1,69,Medium,9.1,Mild,Student,0,0
9045,31,Female,USA,0.0,0.0,5.5,Fair,26.3,73,Medium,10.4,Mild,Office,0,1
9046,18,Male,France,1.6,155.3,6.7,Good,26.9,76,Low,13.0,None,Other,0,1
9047,50,Female,Sweden,2.1,197.0,7.9,Good,24.6,70,Low,3.7,None,Healthcare,0,1
9048,34,Male,Canada,4.4,421.2,7.7,Good,26.0,67,Low,1.9,None,Healthcare,0,0
9049,32,Male,France,2.2,205.0,3.3,Poor,24.9,74,High,14.6,Mild,Student,0,0
9050,45,Female,Canada,3.1,295.5,6.7,Good,17.9,62,Low,0.6,None,Office,0,0
9051,40,Male,UK,2.0,194.4,7.3,Good,22.3,84,Low,6.2,None,Service,0,0
9052,21,Female,Brazil,3.3,314.7,7.1,Good,20.4,71,Low,7.4,None,Service,0,0
9053,34,Female,Norway,1.6,147.6,6.7,Good,30.0,80,Low,10.7,Mild,Service,0,1
9054,30,Male,Norway,0.0,0.0,8.9,Excellent,27.8,75,Low,12.2,None,Service,0,0
9055,18,Male,France,0.0,0.0,8.5,Excellent,25.0,68,Low,8.4,None,Healthcare,0,0
9056,26,Female,Norway,3.3,309.9,6.4,Good,25.5,73,Low,0.4,None,Healthcare,0,0
9057,32,Male,Spain,3.0,284.3,6.1,Good,29.7,59,Low,15.0,None,Other,0,1
9058,33,Female,Germany,3.1,294.8,6.9,Good,21.9,74,Low,9.6,None,Other,0,0
9059,18,Female,China,2.7,254.4,7.2,Good,29.0,63,Low,12.5,None,Office,0,1
9060,48,Female,China,0.0,0.0,7.1,Good,31.2,62,Low,6.2,Mild,Office,0,0
9061,33,Female,Brazil,1.5,145.4,6.9,Good,24.3,82,Low,0.8,None,Student,0,0
9062,35,Male,Finland,2.3,223.2,8.5,Excellent,20.9,65,Low,1.2,None,Healthcare,1,0
9063,39,Female,China,1.4,133.5,8.7,Excellent,23.3,81,Low,11.6,None,Student,0,0
9064,25,Other,India,3.4,318.6,7.4,Good,28.3,63,Low,3.2,None,Service,0,0
9065,40,Male,USA,2.3,215.4,7.8,Good,26.3,80,Low,12.8,None,Other,0,0
9066,30,Female,Spain,3.5,331.3,7.5,Good,25.1,62,Low,3.8,None,Other,0,1
9067,24,Female,Germany,4.2,402.1,6.1,Good,20.5,72,Low,3.9,None,Student,0,0
9068,41,Male,Switzerland,3.2,300.7,7.1,Good,24.3,74,Low,1.5,None,Student,0,1
9069,52,Male,South Korea,2.8,261.6,6.9,Good,25.3,75,Low,2.1,Mild,Healthcare,0,0
9070,43,Female,France,0.5,50.2,8.4,Excellent,22.2,70,Low,1.9,None,Service,1,0
9071,46,Male,Finland,2.6,245.9,7.0,Good,22.4,59,Low,0.6,None,Office,0,1
9072,28,Male,Belgium,0.1,9.1,8.0,Excellent,27.0,53,Low,3.6,None,Office,0,0
9073,18,Male,Mexico,0.7,65.6,6.8,Good,26.5,69,Low,0.3,None,Student,0,0
9074,52,Male,China,2.9,278.8,7.4,Good,24.2,90,Low,10.6,Mild,Student,0,0
9075,59,Male,Canada,0.6,57.1,7.2,Good,23.3,65,Low,9.2,Mild,Student,0,0
9076,53,Female,Brazil,5.9,560.7,5.2,Fair,23.6,87,Medium,2.6,Moderate,Office,0,0
9077,30,Male,Finland,3.9,367.7,7.3,Good,28.2,82,Low,12.9,None,Other,0,1
9078,21,Other,Finland,2.6,244.6,7.9,Good,26.4,78,Low,4.3,None,Other,0,0
9079,22,Male,Sweden,0.0,0.0,5.0,Fair,24.8,58,Medium,8.0,Mild,Office,0,1
9080,18,Male,Japan,0.0,0.0,4.9,Poor,30.6,75,High,12.2,Moderate,Other,0,1
9081,33,Male,Spain,5.9,562.2,6.4,Good,21.4,78,Low,5.5,None,Healthcare,0,0
9082,54,Male,Sweden,1.7,159.4,7.2,Good,19.5,71,Low,3.8,Mild,Student,0,1
9083,33,Male,Norway,4.3,406.2,5.3,Fair,15.0,75,Medium,12.9,Mild,Service,0,0
9084,38,Female,Australia,1.7,163.3,7.1,Good,26.2,64,Low,1.1,None,Service,0,1
9085,51,Female,Finland,1.0,95.1,6.7,Good,30.2,77,Low,9.8,Moderate,Other,0,0
9086,30,Male,Sweden,0.9,85.5,4.4,Poor,29.9,81,High,12.6,Mild,Office,0,0
9087,59,Male,Italy,0.2,18.8,7.2,Good,21.6,50,Low,10.7,Mild,Healthcare,0,0
9088,58,Male,Germany,3.4,318.3,5.3,Fair,20.9,72,Medium,5.6,Moderate,Service,0,0
9089,33,Female,Japan,3.1,291.7,7.2,Good,15.0,56,Low,14.3,None,Service,0,0
9090,28,Female,Germany,1.7,160.5,6.1,Good,21.3,63,Low,2.0,None,Other,0,1
9091,43,Male,Sweden,0.0,0.0,7.4,Good,19.6,73,Low,10.7,None,Office,0,0
9092,30,Male,Australia,2.1,201.9,8.1,Excellent,29.0,74,Low,10.8,None,Service,0,0
9093,21,Female,Italy,3.3,317.4,6.0,Fair,24.7,66,Medium,9.2,Mild,Healthcare,0,0
9094,50,Male,Australia,5.8,552.3,6.0,Fair,24.3,92,Medium,7.3,Mild,Student,1,0
9095,49,Female,USA,4.0,383.5,7.9,Good,21.2,74,Low,14.3,None,Office,0,0
9096,36,Male,Finland,2.8,264.9,7.3,Good,18.6,65,Low,7.0,None,Student,0,0
9097,19,Female,Germany,1.2,117.0,6.7,Good,18.8,74,Low,5.0,None,Student,0,0
9098,20,Female,Spain,4.4,415.1,8.1,Excellent,19.9,55,Low,7.7,None,Office,1,0
9099,36,Other,Switzerland,2.7,253.8,6.3,Good,27.1,75,Low,12.0,None,Healthcare,1,0
9100,29,Female,Australia,2.7,260.1,6.3,Good,18.4,68,Low,2.4,None,Healthcare,0,1
9101,30,Male,China,4.3,405.8,5.3,Fair,26.2,85,Medium,5.6,Mild,Other,0,0
9102,47,Female,Belgium,2.1,202.8,7.4,Good,36.0,60,Low,8.5,Mild,Office,0,0
9103,43,Male,South Korea,3.8,365.3,5.2,Fair,22.3,80,Medium,12.6,Mild,Office,0,0
9104,51,Other,Switzerland,0.7,66.4,8.5,Excellent,25.4,70,Low,6.0,Mild,Other,0,0
9105,23,Female,Canada,1.4,135.7,6.1,Good,24.2,78,Low,8.3,None,Healthcare,0,0
9106,30,Male,France,3.2,304.7,7.1,Good,18.9,81,Low,1.8,None,Office,0,0
9107,44,Male,India,2.4,229.0,6.7,Good,19.8,75,Low,1.4,None,Office,0,0
9108,40,Female,Italy,2.1,200.4,7.3,Good,22.1,80,Low,3.2,None,Student,0,1
9109,53,Other,China,0.7,68.1,7.4,Good,23.8,73,Low,10.3,Mild,Student,0,0
9110,40,Female,Canada,3.9,374.4,6.5,Good,31.9,65,Low,3.2,Mild,Healthcare,0,0
9111,57,Male,Germany,0.0,2.3,6.6,Good,21.4,87,Low,13.2,Mild,Student,0,0
9112,41,Male,Netherlands,3.8,362.4,6.7,Good,20.7,51,Low,13.5,None,Student,0,0
9113,47,Male,Japan,2.6,244.8,8.1,Excellent,20.3,59,Low,4.0,None,Healthcare,0,0
9114,31,Female,Germany,2.6,247.0,6.2,Good,28.8,67,Low,1.6,None,Healthcare,0,0
9115,35,Other,China,2.4,230.5,5.3,Fair,21.7,63,Medium,6.2,Mild,Other,0,1
9116,45,Female,China,1.2,114.3,7.6,Good,30.7,70,Low,11.9,Mild,Office,0,0
9117,54,Female,Switzerland,2.4,232.5,6.9,Good,25.3,71,Low,1.6,Mild,Office,0,0
9118,43,Female,India,3.0,289.6,8.2,Excellent,30.4,64,Low,1.5,Mild,Healthcare,0,0
9119,34,Female,Norway,3.1,296.2,7.2,Good,24.3,75,Low,3.7,None,Healthcare,0,0
9120,51,Female,South Korea,2.4,223.3,8.1,Excellent,23.3,59,Low,10.4,Mild,Service,0,1
9121,18,Female,Brazil,2.3,221.4,8.7,Excellent,24.9,76,Low,5.6,None,Student,0,0
9122,18,Male,Canada,2.3,220.3,6.3,Good,29.4,65,Low,11.1,None,Service,0,0
9123,43,Female,Mexico,2.1,201.0,6.6,Good,25.1,69,Low,6.1,None,Office,1,0
9124,35,Male,Norway,0.0,0.0,8.3,Excellent,26.2,58,Low,1.2,None,Healthcare,0,0
9125,42,Male,Sweden,1.7,163.3,6.8,Good,24.4,93,Low,15.0,None,Other,0,0
9126,35,Female,Belgium,0.9,89.5,6.4,Good,23.2,64,Low,10.2,None,Office,0,1
9127,41,Female,India,2.3,214.4,6.3,Good,26.1,88,Low,9.5,None,Healthcare,1,1
9128,25,Female,Japan,1.1,106.8,6.1,Good,25.0,60,Low,7.4,None,Office,0,1
9129,41,Male,Italy,3.0,286.6,4.1,Poor,25.0,66,High,1.2,Mild,Service,1,0
9130,46,Female,Canada,4.3,406.8,7.1,Good,19.2,75,Low,14.8,None,Healthcare,1,0
9131,49,Female,India,2.0,191.9,5.8,Fair,21.9,73,Medium,7.0,Mild,Student,0,1
9132,59,Male,South Korea,2.9,276.3,4.8,Poor,24.2,66,High,0.6,Moderate,Other,1,0
9133,37,Female,Brazil,1.8,170.1,7.8,Good,18.7,70,Low,5.1,None,Healthcare,0,0
9134,38,Male,China,2.3,222.8,4.9,Poor,27.0,82,High,0.5,Mild,Office,0,0
9135,18,Male,Italy,4.5,431.4,7.7,Good,19.3,58,Low,7.6,None,Healthcare,0,0
9136,28,Female,Japan,0.2,17.3,7.8,Good,21.0,79,Low,11.3,None,Student,1,1
9137,32,Male,USA,1.5,141.4,7.3,Good,25.4,74,Low,14.4,None,Student,0,0
9138,47,Male,UK,2.7,252.6,5.2,Fair,18.5,75,Medium,12.7,Mild,Healthcare,0,0
9139,27,Male,Sweden,2.2,213.7,4.5,Poor,26.7,54,High,4.1,Mild,Service,0,1
9140,44,Male,India,1.9,184.0,5.8,Fair,19.2,78,Medium,5.2,Mild,Other,0,0
9141,34,Male,Brazil,0.7,69.3,3.8,Poor,25.7,53,High,7.8,Mild,Other,0,0
9142,32,Male,Switzerland,3.1,299.1,3.7,Poor,22.1,66,High,10.3,Mild,Student,1,0
9143,37,Male,Netherlands,2.3,223.1,7.7,Good,24.6,65,Low,11.0,None,Office,0,1
9144,30,Male,Sweden,3.5,329.1,8.9,Excellent,23.0,70,Low,12.7,None,Student,1,0
9145,29,Male,Netherlands,4.1,385.6,6.5,Good,21.0,70,Low,3.4,None,Service,1,1
9146,18,Male,South Korea,2.4,231.5,6.7,Good,15.0,68,Low,1.7,None,Student,0,1
9147,32,Female,Norway,4.5,426.4,5.6,Fair,19.0,71,Medium,2.7,Mild,Service,1,1
9148,29,Female,UK,4.1,386.5,7.5,Good,17.2,81,Low,14.2,None,Service,0,1
9149,28,Male,Brazil,1.8,175.3,4.9,Poor,21.5,97,High,2.0,Mild,Office,1,1
9150,40,Female,France,4.7,446.2,6.5,Good,26.5,54,Low,4.8,None,Healthcare,1,1
9151,42,Other,Japan,3.5,331.0,8.7,Excellent,30.5,63,Low,2.9,Mild,Office,0,0
9152,37,Female,Switzerland,4.4,419.6,6.5,Good,28.5,72,Low,1.7,None,Office,0,0
9153,46,Male,UK,0.0,0.0,6.7,Good,27.2,65,Low,7.9,None,Healthcare,0,0
9154,41,Female,Australia,3.5,333.0,8.3,Excellent,30.5,69,Low,5.7,Mild,Healthcare,0,0
9155,31,Male,Germany,3.0,281.9,8.8,Excellent,28.7,69,Low,10.9,None,Healthcare,0,0
9156,29,Male,Italy,1.3,121.1,8.6,Excellent,31.4,73,Low,5.9,Mild,Office,1,1
9157,38,Male,South Korea,0.3,23.9,6.9,Good,24.8,85,Low,8.3,None,Student,0,0
9158,41,Male,UK,2.3,216.1,7.7,Good,26.2,85,Low,12.3,None,Student,1,0
9159,51,Female,Brazil,2.6,244.6,8.4,Excellent,18.7,62,Low,7.9,Mild,Office,1,0
9160,49,Female,Sweden,1.6,153.7,6.2,Good,18.6,61,Low,6.6,None,Healthcare,1,0
9161,28,Female,China,1.4,130.6,5.7,Fair,27.1,58,Medium,2.0,Mild,Office,0,0
9162,33,Male,Japan,1.7,159.2,7.3,Good,19.6,57,Low,8.4,None,Student,0,1
9163,43,Male,Mexico,1.5,141.5,5.6,Fair,24.2,53,Medium,1.5,Mild,Healthcare,0,0
9164,47,Male,Germany,3.9,370.2,5.0,Poor,31.0,86,High,1.6,Moderate,Office,0,1
9165,46,Male,Sweden,1.3,123.0,6.1,Good,24.0,79,Low,6.8,None,Student,1,0
9166,34,Other,Australia,0.0,3.1,6.0,Fair,26.1,64,Medium,7.8,Mild,Healthcare,1,0
9167,19,Female,Italy,3.7,349.5,5.3,Fair,22.9,70,Medium,11.2,Mild,Healthcare,0,1
9168,23,Female,Spain,3.9,367.8,6.6,Good,28.0,63,Low,6.8,None,Other,0,0
9169,38,Female,Spain,2.3,220.3,7.0,Good,26.7,59,Low,9.3,None,Healthcare,1,0
9170,39,Male,Finland,0.8,76.8,5.2,Fair,26.8,78,Medium,13.8,Mild,Student,0,0
9171,21,Male,Switzerland,0.0,0.0,7.5,Good,27.2,73,Low,14.1,None,Student,0,0
9172,35,Male,Belgium,2.6,242.5,6.8,Good,22.0,62,Low,4.0,None,Service,0,0
9173,42,Male,Spain,3.3,310.6,5.3,Fair,34.4,88,Medium,6.8,Moderate,Student,0,1
9174,21,Female,Finland,1.3,121.7,6.8,Good,23.1,84,Low,8.0,None,Student,0,0
9175,48,Male,India,3.7,351.8,6.8,Good,23.0,60,Low,6.7,None,Student,0,0
9176,30,Male,UK,0.4,33.5,7.4,Good,20.7,56,Low,14.5,None,Healthcare,1,1
9177,50,Female,Netherlands,2.6,247.7,7.7,Good,24.0,75,Low,4.4,None,Service,0,1
9178,28,Female,Spain,0.0,0.0,8.0,Good,24.9,92,Low,7.8,None,Service,0,0
9179,22,Male,Italy,1.1,102.3,6.9,Good,23.3,61,Low,1.9,None,Office,0,0
9180,29,Female,Japan,0.0,0.0,5.9,Fair,29.3,77,Medium,9.4,Mild,Office,0,0
9181,33,Male,Finland,3.3,317.9,5.9,Fair,25.2,66,Medium,4.9,Mild,Service,0,1
9182,30,Female,UK,3.0,286.1,6.8,Good,27.7,78,Low,12.1,None,Service,0,0
9183,32,Male,China,6.2,586.5,7.6,Good,16.4,52,Low,2.0,None,Healthcare,0,0
9184,39,Male,China,2.8,265.2,3.8,Poor,23.0,63,High,13.2,Mild,Student,0,0
9185,32,Female,Germany,1.9,176.3,6.8,Good,26.3,73,Low,6.5,None,Service,0,0
9186,34,Male,Netherlands,1.0,90.5,6.7,Good,20.0,73,Low,6.1,None,Other,0,1
9187,18,Female,Australia,4.0,378.0,6.7,Good,20.3,51,Low,11.5,None,Healthcare,0,0
9188,39,Female,USA,6.5,614.1,4.4,Poor,24.0,65,High,4.5,Mild,Office,0,1
9189,33,Male,Japan,4.0,381.3,7.5,Good,23.9,65,Low,12.9,None,Healthcare,0,1
9190,54,Female,Canada,2.8,267.7,6.6,Good,21.8,77,Low,4.2,Mild,Service,1,1
9191,23,Female,Italy,2.6,247.4,6.3,Good,23.1,69,Low,11.0,None,Other,0,1
9192,18,Male,Italy,0.1,5.0,7.5,Good,27.7,74,Low,0.8,None,Service,1,0
9193,42,Female,Sweden,3.8,362.9,6.8,Good,22.4,85,Low,10.5,None,Office,1,0
9194,39,Female,Switzerland,1.4,135.2,6.8,Good,18.8,69,Low,3.9,None,Healthcare,0,0
9195,22,Female,Belgium,0.7,66.3,6.2,Good,23.8,76,Low,10.9,None,Office,0,0
9196,18,Female,Brazil,2.2,210.8,6.4,Good,22.0,80,Low,12.4,None,Service,0,0
9197,53,Female,China,1.3,126.5,6.8,Good,28.0,67,Low,2.6,Mild,Service,0,0
9198,51,Other,India,1.1,105.9,9.0,Excellent,30.3,65,Low,2.5,Moderate,Healthcare,0,0
9199,18,Female,Italy,1.8,167.8,6.9,Good,19.8,78,Low,11.2,None,Service,0,1
9200,29,Male,Norway,0.0,0.0,7.8,Good,25.7,74,Low,2.5,None,Student,1,0
9201,54,Male,Italy,2.1,200.4,7.7,Good,15.1,82,Low,0.3,Mild,Healthcare,0,1
9202,29,Male,Italy,2.9,271.8,6.6,Good,26.8,75,Low,0.9,None,Office,0,0
9203,29,Female,Norway,1.0,96.5,8.5,Excellent,25.5,67,Low,0.4,None,Other,0,0
9204,31,Female,Norway,4.5,429.5,4.3,Poor,24.5,74,High,13.6,Mild,Service,0,1
9205,21,Male,Brazil,1.6,156.0,7.1,Good,23.9,65,Low,13.0,None,Other,1,0
9206,18,Male,France,0.9,83.9,8.2,Excellent,20.1,50,Low,8.3,None,Office,0,0
9207,47,Male,USA,3.7,353.9,7.1,Good,20.7,80,Low,7.7,None,Other,1,0
9208,18,Male,South Korea,2.6,246.7,4.5,Poor,20.2,59,High,3.7,Mild,Healthcare,0,0
9209,37,Female,Brazil,4.5,428.7,6.7,Good,25.0,75,Low,7.5,None,Office,0,0
9210,45,Female,Netherlands,4.9,466.6,6.2,Good,18.0,72,Low,14.0,None,Healthcare,0,0
9211,18,Female,Canada,0.4,40.6,7.0,Good,17.7,72,Low,8.6,None,Healthcare,0,0
9212,23,Male,South Korea,5.8,554.8,5.7,Fair,29.9,59,Medium,0.9,Mild,Other,0,0
9213,49,Female,Switzerland,0.0,0.0,8.0,Excellent,24.8,55,Low,0.6,None,Student,0,1
9214,41,Female,China,0.6,56.8,6.7,Good,18.0,70,Low,13.1,None,Healthcare,0,0
9215,27,Female,Japan,0.5,47.0,8.5,Excellent,27.8,71,Low,3.3,None,Healthcare,1,1
9216,49,Female,Belgium,4.5,429.7,6.5,Good,20.5,75,Low,0.1,None,Office,0,1
9217,49,Male,Italy,3.3,311.5,5.8,Fair,21.5,64,Medium,11.2,Mild,Student,0,0
9218,38,Male,Belgium,2.9,276.9,8.9,Excellent,24.0,60,Low,12.3,None,Service,0,0
9219,24,Female,Canada,0.0,0.0,6.1,Good,18.6,77,Low,4.3,None,Healthcare,0,1
9220,30,Female,Mexico,2.5,234.3,6.2,Good,26.4,89,Low,12.5,None,Office,0,0
9221,38,Female,South Korea,6.2,584.9,6.5,Good,21.6,78,Low,12.1,None,Other,0,0
9222,32,Male,Spain,3.3,311.0,4.7,Poor,15.0,81,High,7.3,Mild,Office,0,0
9223,46,Female,Belgium,2.0,190.7,6.9,Good,25.4,52,Low,14.1,None,Student,1,1
9224,18,Male,Sweden,4.1,391.6,5.7,Fair,29.3,80,Medium,12.7,Mild,Office,1,0
9225,18,Other,Switzerland,2.7,258.3,9.3,Excellent,29.0,65,Low,0.4,None,Service,1,0
9226,37,Female,Belgium,1.8,166.3,6.4,Good,18.9,67,Low,13.5,None,Other,0,0
9227,29,Female,Japan,1.5,140.7,5.6,Fair,26.0,84,Medium,8.1,Mild,Other,0,0
9228,27,Female,South Korea,3.3,314.8,6.9,Good,22.1,67,Low,7.0,None,Healthcare,1,1
9229,18,Male,India,2.1,197.4,6.8,Good,25.1,77,Low,14.4,None,Student,1,0
9230,35,Male,Canada,2.8,261.3,7.6,Good,18.5,67,Low,4.3,None,Other,0,0
9231,34,Male,Canada,0.0,0.0,6.0,Fair,21.5,53,Medium,6.6,Mild,Other,0,1
9232,42,Male,Germany,2.3,221.9,8.5,Excellent,19.8,78,Low,2.8,None,Service,0,1
9233,35,Female,Norway,0.9,86.4,7.3,Good,16.5,71,Low,13.1,None,Office,0,0
9234,33,Male,Finland,4.1,385.3,5.5,Fair,19.6,73,Medium,1.0,Mild,Service,0,0
9235,49,Female,Italy,0.9,86.6,7.0,Good,24.3,73,Low,0.2,None,Student,0,0
9236,19,Male,Mexico,1.4,128.5,7.6,Good,18.7,85,Low,2.3,None,Student,0,1
9237,41,Female,Brazil,0.5,44.8,7.5,Good,24.0,70,Low,9.5,None,Other,0,0
9238,18,Female,Switzerland,3.7,355.6,5.0,Poor,26.6,50,High,1.8,Mild,Healthcare,1,0
9239,24,Male,UK,3.3,311.2,4.2,Poor,28.7,86,High,13.8,Mild,Office,0,0
9240,20,Male,Australia,0.9,81.2,5.2,Fair,31.0,73,Medium,10.2,Moderate,Office,1,0
9241,44,Male,Switzerland,1.1,105.6,7.1,Good,27.0,61,Low,10.2,None,Student,0,0
9242,34,Female,Italy,3.7,350.5,6.9,Good,19.2,80,Low,14.6,None,Service,0,1
9243,34,Female,India,5.6,528.6,3.0,Poor,26.1,59,High,0.9,Mild,Other,0,0
9244,21,Male,Japan,3.2,301.3,6.9,Good,27.7,50,Low,9.8,None,Office,1,0
9245,31,Female,Japan,4.2,401.1,5.5,Fair,20.3,82,Medium,13.5,Mild,Service,0,0
9246,25,Male,Belgium,2.1,199.9,5.2,Fair,28.4,82,Medium,9.3,Mild,Service,0,0
9247,39,Female,Switzerland,0.9,86.1,6.1,Good,21.6,82,Low,6.9,None,Student,0,0
9248,23,Male,South Korea,2.2,213.6,6.7,Good,24.2,66,Low,0.3,None,Other,0,0
9249,50,Female,Norway,4.1,392.2,6.3,Good,28.4,68,Low,2.6,None,Other,0,0
9250,18,Female,India,1.7,156.8,4.1,Poor,22.0,66,High,13.8,Mild,Healthcare,0,1
9251,25,Female,Netherlands,2.0,188.1,8.4,Excellent,22.8,56,Low,14.7,None,Other,0,0
9252,55,Male,Japan,5.8,554.5,6.9,Good,27.8,69,Low,7.4,Mild,Student,0,0
9253,29,Male,Germany,5.1,488.9,6.4,Good,26.0,69,Low,13.5,None,Service,0,0
9254,19,Female,Italy,2.7,257.9,4.5,Poor,15.4,59,High,7.2,Mild,Office,0,0
9255,37,Male,Spain,4.3,405.6,5.4,Fair,18.0,86,Medium,2.4,Mild,Service,0,1
9256,29,Male,Italy,0.7,68.1,6.8,Good,23.0,62,Low,1.3,None,Office,0,0
9257,24,Female,Japan,3.5,332.3,7.4,Good,22.7,86,Low,12.5,None,Healthcare,0,0
9258,21,Male,France,2.7,252.7,7.9,Good,20.7,80,Low,14.1,None,Healthcare,0,0
9259,68,Male,France,3.1,297.6,9.5,Excellent,32.4,73,Low,6.1,Moderate,Healthcare,0,0
9260,31,Female,France,0.5,45.9,7.1,Good,28.4,56,Low,1.9,None,Service,0,0
9261,18,Male,Spain,0.2,16.6,6.2,Good,15.0,77,Low,12.7,None,Student,0,0
9262,52,Male,India,1.7,157.6,7.7,Good,28.4,91,Low,5.1,Mild,Other,0,0
9263,42,Female,France,0.4,42.7,5.7,Fair,20.0,63,Medium,7.3,Mild,Office,1,0
9264,25,Female,India,1.1,102.2,7.3,Good,23.4,74,Low,14.9,None,Student,1,0
9265,23,Male,South Korea,6.4,606.0,8.6,Excellent,17.7,69,Low,10.2,None,Other,0,1
9266,43,Female,Japan,4.3,413.0,6.0,Fair,28.8,54,Medium,10.8,Mild,Office,0,0
9267,32,Female,Brazil,3.0,286.9,5.8,Fair,24.8,72,Medium,4.2,Mild,Service,0,1
9268,18,Male,Australia,3.2,301.6,4.9,Poor,29.4,69,High,3.9,Mild,Office,0,1
9269,56,Male,Netherlands,3.1,296.9,6.7,Good,25.1,58,Low,4.4,Mild,Service,0,1
9270,29,Male,Sweden,2.2,210.3,4.9,Poor,22.2,80,High,9.0,Mild,Other,0,0
9271,52,Female,Switzerland,3.0,283.6,5.2,Fair,20.9,63,Medium,14.1,Moderate,Student,1,0
9272,50,Female,India,3.9,372.4,4.8,Poor,17.4,65,High,10.3,Mild,Office,0,0
9273,22,Male,Spain,2.2,204.6,7.9,Good,22.7,77,Low,4.3,None,Other,0,0
9274,47,Female,Canada,4.7,443.2,6.1,Good,24.9,60,Low,9.6,None,Healthcare,0,1
9275,27,Female,Italy,2.1,202.8,8.3,Excellent,15.3,78,Low,2.1,None,Student,0,0
9276,18,Male,Australia,1.0,96.1,7.1,Good,27.2,72,Low,6.4,None,Healthcare,0,0
9277,29,Female,Mexico,2.9,274.9,6.0,Good,24.3,74,Low,13.3,None,Healthcare,0,0
9278,39,Male,Mexico,2.2,210.1,7.4,Good,22.6,83,Low,3.7,None,Student,1,0
9279,29,Female,India,2.1,201.1,7.5,Good,19.6,66,Low,8.4,None,Office,0,1
9280,31,Female,China,3.8,362.9,7.9,Good,19.3,62,Low,1.2,None,Other,0,1
9281,48,Female,Sweden,2.0,185.7,5.6,Fair,23.3,50,Medium,1.3,Mild,Student,0,0
9282,36,Female,USA,1.1,104.5,6.9,Good,23.4,62,Low,1.0,None,Office,0,0
9283,24,Female,Finland,1.9,181.9,5.3,Fair,15.6,69,Medium,3.1,Mild,Student,0,0
9284,43,Female,France,1.4,132.1,7.1,Good,33.1,65,Low,6.8,Mild,Student,0,0
9285,37,Female,Spain,1.4,130.5,3.6,Poor,19.9,73,High,13.7,Mild,Office,0,0
9286,18,Female,Japan,4.0,377.0,5.2,Fair,28.7,59,Medium,5.2,Mild,Healthcare,0,1
9287,40,Female,France,1.0,91.8,5.9,Fair,22.1,66,Medium,9.5,Mild,Service,0,1
9288,39,Male,Germany,2.7,254.4,6.6,Good,26.0,77,Low,8.3,None,Office,0,0
9289,35,Female,South Korea,2.0,190.2,7.9,Good,22.9,80,Low,2.2,None,Service,0,0
9290,45,Female,Mexico,2.3,221.8,4.6,Poor,22.2,87,High,7.1,Mild,Service,0,0
9291,26,Female,Belgium,0.0,0.0,8.0,Excellent,24.4,64,Low,2.1,None,Student,0,0
9292,39,Other,Belgium,3.5,329.2,6.9,Good,22.0,59,Low,4.6,None,Office,1,1
9293,18,Male,USA,2.1,197.5,7.2,Good,28.5,79,Low,1.5,None,Office,0,0
9294,39,Male,Canada,4.0,375.9,6.1,Good,18.2,72,Low,3.2,None,Healthcare,0,0
9295,58,Male,Norway,3.1,294.5,7.4,Good,23.2,66,Low,5.6,Mild,Service,0,1
9296,23,Female,Brazil,2.6,244.4,6.4,Good,20.9,60,Low,9.4,None,Healthcare,1,1
9297,25,Female,UK,2.5,238.6,5.6,Fair,26.5,61,Medium,2.1,Mild,Other,0,1
9298,26,Female,South Korea,5.9,556.6,5.9,Fair,15.2,69,Medium,8.9,Mild,Service,1,1
9299,36,Male,Japan,1.3,123.1,6.9,Good,28.6,97,Low,3.6,None,Healthcare,0,1
9300,22,Female,Sweden,2.9,279.1,5.3,Fair,19.7,71,Medium,1.0,Mild,Healthcare,0,0
9301,40,Female,USA,2.9,271.5,3.7,Poor,26.2,80,High,13.8,Mild,Service,0,0
9302,45,Female,Finland,0.1,7.6,7.8,Good,15.2,60,Low,0.8,None,Healthcare,0,0
9303,41,Male,Norway,2.4,229.1,5.7,Fair,21.5,50,Medium,12.6,Mild,Other,0,0
9304,18,Female,Switzerland,0.2,15.6,3.9,Poor,22.0,76,High,10.8,Mild,Office,0,0
9305,46,Female,Finland,2.4,227.8,6.8,Good,24.2,61,Low,4.4,None,Other,0,0
9306,46,Other,Japan,0.1,6.3,6.8,Good,25.8,60,Low,10.8,None,Service,0,0
9307,44,Female,Italy,3.1,291.8,4.9,Poor,32.5,71,High,3.9,Moderate,Student,0,1
9308,39,Female,Spain,0.6,58.0,6.1,Good,21.6,85,Low,11.9,None,Service,0,1
9309,37,Male,Belgium,2.5,235.8,7.8,Good,26.5,80,Low,1.5,None,Office,0,0
9310,47,Male,Italy,0.1,6.0,5.1,Fair,21.9,63,Medium,0.5,Mild,Other,0,0
9311,58,Female,Belgium,3.2,305.3,5.9,Fair,25.1,74,Medium,2.1,Moderate,Healthcare,0,0
9312,23,Male,Spain,2.4,226.3,7.2,Good,17.5,76,Low,10.8,None,Healthcare,1,0
9313,47,Male,Germany,2.2,211.3,4.8,Poor,24.8,76,High,14.5,Mild,Student,0,1
9314,33,Male,Finland,2.7,257.5,8.8,Excellent,19.9,68,Low,9.8,None,Other,1,0
9315,33,Female,Spain,3.3,312.1,7.5,Good,16.8,76,Low,13.2,None,Healthcare,0,0
9316,18,Female,UK,1.2,115.1,8.9,Excellent,23.4,75,Low,0.4,None,Service,1,1
9317,31,Male,UK,2.5,235.1,6.6,Good,24.3,75,Low,6.2,None,Healthcare,1,0
9318,23,Female,Brazil,1.8,171.1,8.6,Excellent,22.6,59,Low,8.6,None,Office,0,0
9319,29,Female,France,4.5,423.0,6.5,Good,25.5,72,Low,6.1,None,Other,0,0
9320,21,Male,South Korea,1.9,179.3,6.4,Good,31.0,80,Low,10.7,Mild,Healthcare,0,0
9321,29,Male,Canada,1.3,122.9,5.5,Fair,20.1,50,Medium,3.3,Mild,Healthcare,1,1
9322,30,Female,South Korea,0.2,23.1,7.3,Good,27.2,82,Low,3.9,None,Office,1,0
9323,36,Female,Belgium,2.1,199.4,5.9,Fair,21.0,79,Medium,7.6,Mild,Healthcare,1,1
9324,18,Male,France,1.5,139.1,5.9,Fair,25.3,74,Medium,10.0,Mild,Student,1,0
9325,18,Male,Belgium,3.0,289.0,6.7,Good,23.6,76,Low,2.0,None,Other,0,0
9326,39,Male,Netherlands,2.8,269.1,8.7,Excellent,30.1,71,Low,4.5,Mild,Healthcare,1,0
9327,25,Male,France,3.3,313.2,8.1,Excellent,23.7,62,Low,4.2,None,Service,0,0
9328,47,Male,France,0.6,58.1,7.9,Good,23.9,67,Low,7.3,None,Healthcare,0,0
9329,37,Female,USA,0.0,0.0,6.9,Good,28.1,70,Low,14.5,None,Student,1,0
9330,42,Female,Sweden,2.5,237.4,6.7,Good,25.9,68,Low,5.9,None,Service,1,0
9331,51,Female,Sweden,3.7,354.8,8.2,Excellent,26.5,75,Low,12.9,Mild,Student,0,0
9332,31,Male,Netherlands,1.9,181.4,7.3,Good,29.0,74,Low,6.0,None,Office,0,1
9333,28,Female,Germany,5.2,491.9,3.0,Poor,24.8,72,High,4.9,Mild,Service,1,1
9334,45,Male,Germany,2.3,219.9,9.6,Excellent,30.0,76,Low,1.4,Mild,Service,0,0
9335,41,Male,Australia,1.4,132.6,6.8,Good,18.0,77,Low,10.7,None,Student,0,0
9336,32,Female,Australia,3.1,296.8,6.6,Good,23.2,60,Low,4.3,None,Student,0,0
9337,51,Female,Canada,4.6,434.3,6.6,Good,23.8,83,Low,10.5,Mild,Office,0,0
9338,32,Male,Germany,2.4,231.4,6.7,Good,20.7,64,Low,5.5,None,Service,0,1
9339,35,Female,India,3.6,344.9,6.2,Good,26.8,75,Low,0.2,None,Service,0,0
9340,35,Female,Norway,1.9,177.3,4.9,Poor,24.9,68,High,2.4,Mild,Service,1,0
9341,23,Female,Canada,1.9,180.5,5.2,Fair,15.4,71,Medium,11.7,Mild,Service,0,1
9342,35,Female,Canada,4.2,396.9,8.4,Excellent,28.8,84,Low,3.3,None,Office,0,0
9343,51,Other,UK,0.0,0.0,6.1,Good,28.1,68,Low,3.5,Mild,Healthcare,0,0
9344,40,Female,Finland,0.9,88.0,8.2,Excellent,24.8,74,Low,5.0,None,Service,0,0
9345,35,Female,Switzerland,3.4,320.2,6.8,Good,25.4,82,Low,2.8,None,Other,0,0
9346,33,Male,China,2.0,188.5,3.9,Poor,19.1,79,High,8.1,Mild,Office,0,0
9347,38,Male,Norway,2.9,280.0,5.0,Fair,20.2,76,Medium,7.7,Mild,Healthcare,0,0
9348,43,Female,Finland,3.3,313.4,5.5,Fair,15.0,92,Medium,9.5,Mild,Student,1,0
9349,42,Female,China,0.5,49.7,7.8,Good,21.1,71,Low,14.5,None,Healthcare,0,0
9350,31,Male,Canada,0.5,48.5,6.6,Good,23.5,80,Low,1.8,None,Student,0,1
9351,38,Female,Spain,4.2,401.8,7.2,Good,26.1,98,Low,5.8,None,Other,0,0
9352,40,Male,China,1.9,182.5,6.4,Good,19.0,65,Low,7.5,None,Office,0,0
9353,22,Female,South Korea,1.5,141.2,7.5,Good,27.8,87,Low,13.6,None,Healthcare,0,1
9354,37,Male,Belgium,3.1,290.3,5.3,Fair,24.4,76,Medium,9.5,Mild,Student,0,1
9355,18,Male,USA,4.0,377.1,5.8,Fair,28.1,89,Medium,6.3,Mild,Service,1,0
9356,40,Female,Belgium,3.7,348.5,6.8,Good,27.4,73,Low,0.8,None,Other,0,0
9357,42,Male,UK,3.2,303.3,6.2,Good,24.5,80,Low,11.4,None,Other,0,0
9358,43,Male,Sweden,4.2,402.5,6.4,Good,25.5,58,Low,8.4,None,Office,1,0
9359,30,Female,Brazil,3.3,310.1,6.6,Good,21.4,60,Low,10.1,None,Office,0,0
9360,38,Female,Norway,1.7,158.5,7.7,Good,23.7,77,Low,4.8,None,Office,0,1
9361,52,Female,Japan,2.9,274.9,6.6,Good,24.7,78,Low,3.9,Mild,Office,1,0
9362,51,Female,Finland,3.7,349.1,6.3,Good,27.3,64,Low,9.5,Mild,Service,0,0
9363,34,Male,Sweden,1.3,122.2,7.2,Good,24.2,77,Low,6.4,None,Other,1,0
9364,36,Female,Mexico,1.6,156.6,7.4,Good,32.0,75,Low,5.3,Mild,Service,0,0
9365,48,Female,France,2.8,265.6,6.7,Good,24.4,77,Low,3.2,None,Office,0,1
9366,18,Other,Switzerland,3.5,335.4,5.2,Fair,15.0,82,Medium,6.1,Mild,Healthcare,0,0
9367,31,Female,Canada,2.5,234.2,7.6,Good,22.2,58,Low,14.0,None,Student,0,0
9368,51,Female,China,2.9,274.3,7.3,Good,20.2,79,Low,1.6,Mild,Healthcare,0,0
9369,46,Female,Switzerland,0.0,0.0,6.6,Good,22.6,75,Low,2.4,None,Other,0,0
9370,39,Male,Switzerland,4.9,465.4,6.9,Good,19.4,65,Low,9.1,None,Other,0,0
9371,18,Male,Australia,3.7,348.0,8.7,Excellent,17.1,59,Low,3.6,None,Service,1,0
9372,34,Female,Netherlands,3.6,341.2,6.1,Good,20.8,67,Low,13.1,None,Student,0,0
9373,27,Female,India,3.5,329.0,6.4,Good,25.5,68,Low,12.8,None,Office,0,1
9374,38,Female,UK,3.6,341.6,6.8,Good,26.0,67,Low,6.3,None,Office,1,0
9375,25,Female,Japan,4.6,435.7,9.8,Excellent,20.7,73,Low,10.2,None,Healthcare,1,0
9376,22,Male,South Korea,4.2,397.0,6.6,Good,26.9,83,Low,11.6,None,Student,0,0
9377,18,Female,UK,3.1,298.5,5.8,Fair,21.6,75,Medium,5.0,Mild,Service,1,1
9378,49,Male,China,3.7,352.3,4.9,Poor,21.1,61,High,4.8,Mild,Office,0,1
9379,30,Male,China,2.9,277.1,6.1,Good,22.2,75,Low,0.0,None,Other,0,0
9380,36,Male,Brazil,1.4,129.1,6.7,Good,15.0,67,Low,3.5,None,Office,0,0
9381,34,Female,Spain,1.7,165.1,7.5,Good,22.9,66,Low,10.2,None,Student,1,0
9382,22,Male,Italy,1.9,177.6,6.7,Good,17.5,65,Low,6.6,None,Other,1,1
9383,19,Female,Italy,2.2,213.3,6.7,Good,21.7,73,Low,9.5,None,Service,0,1
9384,22,Male,Netherlands,2.1,203.7,6.9,Good,20.8,71,Low,3.4,None,Office,0,0
9385,26,Male,France,0.8,72.9,7.1,Good,27.6,64,Low,9.1,None,Other,1,0
9386,39,Female,Italy,2.8,267.5,8.0,Excellent,20.3,75,Low,3.7,None,Service,0,0
9387,25,Female,Japan,3.6,342.6,5.3,Fair,32.9,70,Medium,10.6,Moderate,Student,0,0
9388,55,Male,Spain,1.8,171.2,9.0,Excellent,20.8,67,Low,2.3,Mild,Service,1,0
9389,47,Male,Canada,2.0,191.3,8.3,Excellent,22.0,72,Low,4.3,None,Service,0,1
9390,44,Female,Mexico,3.6,345.0,7.7,Good,24.8,70,Low,3.1,None,Other,1,1
9391,33,Male,Norway,2.8,264.5,5.6,Fair,21.4,66,Medium,0.4,Mild,Office,1,1
9392,53,Female,Japan,3.8,363.1,6.3,Good,27.6,81,Low,13.7,Mild,Other,0,1
9393,32,Male,Finland,3.6,342.3,5.6,Fair,15.5,82,Medium,1.1,Mild,Healthcare,0,0
9394,34,Male,South Korea,1.3,124.8,5.8,Fair,24.5,65,Medium,6.2,Mild,Other,0,0
9395,37,Male,China,2.8,269.8,6.2,Good,21.1,74,Low,5.3,None,Other,0,0
9396,43,Female,China,3.4,323.0,6.3,Good,26.9,68,Low,2.7,None,Office,1,0
9397,42,Female,China,1.5,138.3,6.3,Good,23.6,67,Low,6.7,None,Student,0,0
9398,29,Male,Canada,0.7,71.2,6.9,Good,25.8,64,Low,7.6,None,Healthcare,1,0
9399,28,Female,India,2.5,234.9,7.6,Good,27.7,60,Low,4.0,None,Office,1,1
9400,42,Female,Germany,0.0,0.0,7.9,Good,29.5,70,Low,7.9,None,Office,0,1
9401,43,Female,Norway,0.0,0.0,7.5,Good,25.4,68,Low,9.6,None,Service,0,0
9402,30,Male,USA,3.4,323.1,6.4,Good,30.6,68,Low,7.8,Mild,Healthcare,0,0
9403,18,Male,Finland,1.4,129.2,6.3,Good,19.3,83,Low,13.5,None,Service,0,0
9404,32,Female,Canada,2.0,194.5,7.0,Good,22.3,74,Low,2.1,None,Service,0,0
9405,42,Male,Italy,2.9,271.9,7.8,Good,21.1,74,Low,12.6,None,Office,0,0
9406,56,Male,Belgium,2.4,231.7,8.2,Excellent,24.1,88,Low,2.2,Mild,Student,0,0
9407,20,Female,Netherlands,1.3,128.2,5.3,Fair,24.6,75,Medium,6.5,Mild,Office,0,1
9408,29,Male,France,5.4,516.8,6.1,Good,21.6,93,Low,2.3,None,Other,0,1
9409,30,Male,Brazil,2.4,226.3,5.6,Fair,28.3,67,Medium,9.1,Mild,Student,1,1
9410,51,Male,France,6.6,630.3,4.2,Poor,15.0,73,High,5.2,Moderate,Healthcare,0,0
9411,34,Female,Norway,1.1,103.6,8.2,Excellent,28.2,80,Low,6.8,None,Student,0,0
9412,24,Male,South Korea,1.9,183.8,8.2,Excellent,21.4,50,Low,2.5,None,Healthcare,0,0
9413,41,Female,UK,2.5,241.0,6.4,Good,25.5,73,Low,7.1,None,Service,0,0
9414,30,Female,Norway,2.6,248.1,6.1,Good,18.7,97,Low,11.0,None,Office,0,0
9415,20,Female,Sweden,4.0,378.6,5.9,Fair,24.7,62,Medium,14.0,Mild,Office,0,1
9416,24,Male,Netherlands,0.0,0.0,4.9,Poor,24.8,84,High,4.3,Mild,Other,0,0
9417,55,Male,Brazil,4.8,455.1,7.6,Good,28.0,71,Low,6.5,Mild,Office,0,1
9418,39,Female,Sweden,0.0,0.0,6.4,Good,27.5,98,Low,11.7,None,Student,0,1
9419,36,Male,Germany,1.3,126.7,6.5,Good,18.3,63,Low,8.4,None,Other,1,0
9420,32,Female,USA,2.6,244.9,7.0,Good,23.7,64,Low,11.1,None,Office,0,1
9421,38,Female,Spain,3.1,296.0,4.1,Poor,27.5,62,High,11.8,Mild,Other,0,0
9422,38,Female,USA,2.2,209.1,6.7,Good,21.4,72,Low,11.0,None,Office,1,1
9423,38,Male,Italy,1.8,169.3,6.9,Good,16.7,66,Low,14.3,None,Office,0,1
9424,36,Female,Mexico,2.5,238.5,6.0,Fair,24.0,65,Medium,11.0,Mild,Service,0,0
9425,45,Male,Canada,1.9,180.8,9.3,Excellent,18.2,74,Low,1.8,None,Office,0,1
9426,35,Male,Norway,4.1,391.9,4.9,Poor,21.4,78,High,12.0,Mild,Office,0,0
9427,23,Female,Mexico,3.5,336.1,7.0,Good,20.1,51,Low,1.3,None,Student,0,0
9428,27,Female,Japan,3.2,301.2,5.3,Fair,22.8,80,Medium,6.0,Mild,Healthcare,0,1
9429,18,Female,USA,4.0,383.2,6.7,Good,28.3,59,Low,5.3,None,Student,1,0
9430,59,Female,Canada,3.0,287.1,5.2,Fair,26.2,68,Medium,2.4,Moderate,Other,0,0
9431,45,Female,France,2.1,203.5,7.8,Good,28.6,67,Low,1.6,None,Other,0,1
9432,25,Male,Canada,0.1,8.3,7.4,Good,25.8,73,Low,4.3,None,Office,0,0
9433,31,Male,USA,5.3,503.0,4.2,Poor,24.5,64,High,10.3,Mild,Office,0,0
9434,27,Female,UK,4.2,397.5,6.5,Good,29.0,79,Low,3.1,None,Service,0,0
9435,53,Male,Netherlands,0.7,65.2,6.3,Good,18.1,62,Low,14.6,Mild,Office,0,0
9436,18,Female,Finland,3.6,341.9,6.3,Good,29.5,82,Low,0.1,None,Student,0,0
9437,36,Male,Brazil,3.2,303.2,4.5,Poor,26.1,70,High,8.5,Mild,Student,0,0
9438,33,Male,Brazil,1.1,103.1,8.5,Excellent,27.5,72,Low,8.4,None,Student,0,1
9439,44,Male,Brazil,4.6,434.9,5.2,Fair,21.6,82,Medium,4.1,Mild,Student,0,0
9440,33,Female,UK,2.7,261.1,6.3,Good,20.6,69,Low,8.9,None,Healthcare,0,0
9441,18,Female,France,0.8,73.9,5.8,Fair,24.1,92,Medium,8.4,Mild,Student,0,0
9442,31,Male,China,0.7,64.0,6.6,Good,19.2,68,Low,10.3,None,Student,0,0
9443,23,Male,Norway,3.1,296.8,6.4,Good,22.1,73,Low,13.1,None,Other,1,0
9444,35,Female,China,1.1,101.4,6.7,Good,22.3,86,Low,1.5,None,Other,0,0
9445,52,Male,Brazil,1.4,132.8,8.5,Excellent,22.0,75,Low,12.5,Mild,Other,0,0
9446,18,Female,Germany,3.1,298.0,6.4,Good,21.1,80,Low,0.3,None,Office,0,1
9447,25,Female,Brazil,1.5,143.4,8.7,Excellent,17.5,67,Low,0.9,None,Other,0,0
9448,28,Female,Switzerland,1.8,170.5,5.0,Fair,25.9,50,Medium,13.6,Mild,Office,0,1
9449,30,Female,Spain,1.3,124.9,8.2,Excellent,24.7,64,Low,10.6,None,Other,0,0
9450,43,Male,South Korea,3.5,333.3,7.7,Good,19.3,71,Low,9.6,None,Student,0,0
9451,32,Female,Netherlands,4.4,414.0,7.7,Good,25.4,64,Low,7.8,None,Other,0,1
9452,39,Female,Finland,0.0,0.0,9.6,Excellent,22.8,70,Low,11.7,None,Service,0,0
9453,27,Female,South Korea,1.0,97.3,3.8,Poor,20.4,55,High,10.9,Mild,Office,0,1
9454,37,Male,Switzerland,0.0,0.0,4.5,Poor,26.3,70,High,5.2,Mild,Student,0,0
9455,44,Female,Canada,2.7,255.5,6.7,Good,24.0,64,Low,7.4,None,Student,0,1
9456,26,Female,Sweden,2.8,266.7,4.1,Poor,29.4,55,High,7.2,Mild,Student,0,0
9457,44,Female,Mexico,1.1,102.2,4.4,Poor,21.1,71,High,6.5,Mild,Other,0,0
9458,35,Male,USA,1.8,175.3,6.4,Good,25.7,71,Low,10.2,None,Office,0,0
9459,47,Male,India,3.2,302.8,5.9,Fair,30.1,68,Medium,12.2,Moderate,Student,1,0
9460,32,Female,Canada,4.8,458.7,4.1,Poor,24.4,63,High,14.3,Mild,Student,0,0
9461,39,Female,Australia,1.4,132.1,6.0,Good,19.7,60,Low,6.2,None,Other,0,0
9462,34,Male,Mexico,2.7,253.1,7.5,Good,21.9,86,Low,10.5,None,Student,0,1
9463,33,Female,Australia,3.3,315.3,7.1,Good,29.5,78,Low,8.4,None,Student,0,1
9464,38,Male,China,5.2,493.6,7.1,Good,29.3,66,Low,2.7,None,Healthcare,1,0
9465,41,Male,USA,3.1,294.8,6.0,Fair,21.9,66,Medium,4.6,Mild,Other,0,1
9466,20,Male,Mexico,5.4,509.5,7.6,Good,20.9,62,Low,12.7,None,Healthcare,0,0
9467,52,Male,Australia,0.3,32.1,9.1,Excellent,27.0,68,Low,12.1,Mild,Healthcare,0,0
9468,18,Male,Sweden,3.1,296.2,6.8,Good,20.6,83,Low,12.8,None,Other,0,1
9469,26,Male,Sweden,2.1,199.1,6.1,Good,24.2,75,Low,0.6,None,Student,0,0
9470,33,Male,Japan,2.5,234.0,6.6,Good,15.0,80,Low,14.8,None,Student,1,1
9471,39,Female,Mexico,0.7,64.4,5.4,Fair,30.1,58,Medium,8.4,Moderate,Office,1,1
9472,53,Female,Netherlands,4.3,411.7,5.9,Fair,24.8,66,Medium,7.6,Moderate,Office,0,1
9473,18,Female,Canada,3.4,320.4,7.2,Good,22.2,74,Low,11.0,None,Other,0,1
9474,28,Male,India,2.8,267.9,7.0,Good,25.4,50,Low,2.0,None,Service,0,0
9475,18,Male,Italy,0.0,0.0,7.6,Good,26.6,63,Low,3.4,None,Healthcare,0,1
9476,35,Female,Sweden,3.9,367.7,4.5,Poor,17.0,63,High,14.1,Mild,Other,0,0
9477,38,Female,Norway,1.5,142.8,7.6,Good,20.7,83,Low,3.1,None,Student,1,0
9478,54,Male,Sweden,1.3,125.8,6.1,Good,22.5,79,Low,5.0,Mild,Healthcare,0,1
9479,36,Male,Netherlands,0.2,22.7,6.7,Good,18.5,74,Low,3.7,None,Office,0,0
9480,47,Female,Japan,2.0,190.0,5.8,Fair,22.2,70,Medium,7.3,Mild,Healthcare,0,1
9481,42,Female,Japan,1.7,158.7,8.6,Excellent,22.3,76,Low,12.1,None,Office,0,0
9482,29,Male,Australia,4.5,428.7,4.7,Poor,20.8,69,High,12.6,Mild,Other,0,0
9483,18,Female,Mexico,1.0,94.5,6.7,Good,21.7,79,Low,4.9,None,Office,0,1
9484,38,Female,Netherlands,1.4,135.1,5.2,Fair,22.8,61,Medium,1.1,Mild,Other,0,0
9485,18,Female,Australia,1.6,153.4,7.9,Good,17.1,60,Low,1.7,None,Other,1,0
9486,50,Male,South Korea,1.3,120.8,7.0,Good,27.1,69,Low,12.2,None,Student,0,0
9487,33,Other,Australia,0.5,48.3,5.6,Fair,25.7,72,Medium,6.4,Mild,Service,0,0
9488,49,Male,Brazil,3.5,330.0,6.6,Good,22.3,83,Low,12.3,None,Service,0,0
9489,29,Female,Switzerland,2.2,212.8,5.7,Fair,24.0,62,Medium,0.2,Mild,Service,1,1
9490,38,Female,Norway,1.7,160.6,7.7,Good,23.8,70,Low,0.5,None,Other,0,1
9491,37,Male,Sweden,1.5,144.7,9.2,Excellent,31.5,72,Low,4.7,Mild,Other,0,0
9492,34,Female,Spain,2.7,255.4,5.0,Fair,21.2,64,Medium,3.1,Mild,Student,0,1
9493,29,Male,Sweden,1.5,145.7,8.5,Excellent,25.1,76,Low,9.7,None,Student,1,1
9494,39,Male,South Korea,2.4,227.8,8.1,Excellent,15.0,61,Low,8.8,None,Office,0,0
9495,23,Male,Australia,3.2,305.5,6.1,Good,25.1,70,Low,13.4,None,Office,0,0
9496,20,Female,South Korea,3.0,286.6,7.4,Good,22.2,75,Low,11.8,None,Other,1,0
9497,49,Male,USA,4.7,442.4,6.6,Good,25.2,76,Low,1.5,None,Service,0,0
9498,43,Female,Brazil,4.0,376.9,6.4,Good,24.7,74,Low,13.3,None,Healthcare,0,0
9499,35,Male,Spain,3.0,284.6,6.0,Fair,23.9,59,Medium,1.8,Mild,Student,1,0
9500,54,Male,Australia,3.1,291.9,7.4,Good,24.6,82,Low,3.0,Mild,Healthcare,0,0
9501,31,Male,Spain,5.4,516.9,5.6,Fair,27.1,72,Medium,7.6,Mild,Healthcare,0,1
9502,50,Female,Australia,1.3,123.8,8.0,Excellent,23.1,55,Low,1.7,None,Other,0,0
9503,37,Male,Spain,3.2,308.4,5.5,Fair,22.6,60,Medium,3.4,Mild,Office,0,1
9504,22,Male,Switzerland,1.2,114.6,9.3,Excellent,27.9,56,Low,6.7,None,Service,0,1
9505,57,Male,Mexico,3.8,356.3,5.1,Fair,24.6,60,Medium,3.7,Moderate,Healthcare,0,0
9506,46,Male,South Korea,3.5,328.5,9.9,Excellent,21.0,69,Low,14.2,None,Student,0,0
9507,33,Female,Sweden,2.1,202.5,6.3,Good,25.7,50,Low,2.4,None,Student,0,1
9508,43,Female,Brazil,4.4,422.4,7.3,Good,23.0,80,Low,8.6,None,Student,1,1
9509,30,Male,Mexico,2.6,246.1,7.8,Good,18.6,83,Low,7.5,None,Healthcare,0,0
9510,44,Male,Spain,3.0,285.3,6.8,Good,25.8,82,Low,6.8,None,Office,0,0
9511,18,Female,Italy,0.1,7.2,8.3,Excellent,22.4,57,Low,3.5,None,Service,0,0
9512,22,Male,Belgium,5.9,558.5,5.4,Fair,16.6,79,Medium,2.9,Mild,Healthcare,0,0
9513,46,Female,Germany,1.0,90.4,5.4,Fair,18.8,80,Medium,4.6,Mild,Office,1,0
9514,32,Male,China,0.6,60.3,7.0,Good,26.5,90,Low,8.9,None,Service,0,0
9515,37,Male,Switzerland,3.4,326.0,7.4,Good,24.9,58,Low,8.7,None,Service,0,0
9516,18,Female,Belgium,2.8,261.9,5.9,Fair,23.3,78,Medium,11.6,Mild,Service,0,1
9517,57,Female,South Korea,0.2,19.1,7.3,Good,25.8,66,Low,4.6,Mild,Service,0,0
9518,49,Male,Italy,1.2,115.3,5.2,Fair,26.3,75,Medium,10.6,Mild,Service,0,1
9519,32,Male,UK,1.9,179.9,7.0,Good,27.1,65,Low,13.2,None,Office,0,0
9520,30,Male,Canada,1.4,131.6,6.3,Good,27.0,74,Low,12.9,None,Service,0,1
9521,47,Female,India,2.8,265.5,6.8,Good,21.6,91,Low,7.0,None,Healthcare,0,0
9522,58,Female,Germany,3.9,370.2,6.6,Good,15.0,63,Low,9.9,Mild,Office,0,1
9523,46,Male,Norway,5.8,550.8,5.0,Poor,21.7,59,High,12.5,Mild,Service,0,0
9524,61,Male,Finland,0.2,19.4,7.1,Good,33.7,63,Low,2.3,Moderate,Office,0,0
9525,23,Male,South Korea,2.4,228.1,6.0,Good,27.0,76,Low,14.4,None,Office,0,1
9526,25,Male,Mexico,2.6,249.6,7.7,Good,22.3,76,Low,9.0,None,Student,0,0
9527,20,Male,Norway,2.6,247.6,7.7,Good,22.2,52,Low,4.2,None,Office,0,1
9528,40,Female,Sweden,2.8,265.9,6.8,Good,29.0,69,Low,7.9,None,Student,0,0
9529,37,Male,India,2.6,249.3,6.7,Good,19.4,76,Low,11.0,None,Other,0,0
9530,33,Male,Belgium,4.2,403.0,7.3,Good,26.6,75,Low,12.3,None,Student,1,0
9531,44,Female,Switzerland,3.1,292.7,7.7,Good,18.3,74,Low,4.6,None,Other,0,1
9532,49,Male,France,0.2,22.0,8.8,Excellent,28.5,83,Low,5.1,None,Other,1,0
9533,18,Male,Switzerland,0.5,49.8,6.6,Good,23.7,67,Low,12.3,None,Other,1,0
9534,27,Male,Italy,3.9,366.8,4.9,Poor,27.8,75,High,12.6,Mild,Student,1,1
9535,44,Male,Belgium,3.2,307.8,7.7,Good,22.2,61,Low,10.3,None,Office,0,0
9536,29,Female,USA,2.1,198.2,8.6,Excellent,31.9,85,Low,10.3,Mild,Service,0,0
9537,25,Female,Netherlands,3.2,304.8,6.6,Good,25.0,59,Low,3.8,None,Other,0,1
9538,47,Male,Canada,3.4,324.7,6.4,Good,26.3,66,Low,14.3,None,Service,0,0
9539,19,Male,Australia,4.0,381.6,8.3,Excellent,28.5,72,Low,12.8,None,Office,0,0
9540,31,Male,Spain,2.2,204.5,5.4,Fair,31.0,66,Medium,13.1,Moderate,Other,0,0
9541,38,Female,Norway,3.7,351.0,6.1,Good,23.0,76,Low,2.9,None,Other,1,0
9542,28,Female,USA,2.3,219.3,5.9,Fair,24.6,56,Medium,14.8,Mild,Other,0,0
9543,44,Male,Netherlands,0.3,27.5,7.0,Good,25.5,52,Low,6.7,None,Other,1,0
9544,28,Male,USA,3.1,292.8,7.8,Good,29.0,62,Low,10.2,None,Student,0,0
9545,51,Male,Japan,4.4,417.9,4.8,Poor,27.6,83,High,13.5,Moderate,Student,1,0
9546,33,Female,France,3.7,348.6,7.7,Good,16.8,52,Low,1.5,None,Healthcare,0,0
9547,43,Female,South Korea,4.3,408.4,5.4,Fair,18.4,77,Medium,4.8,Mild,Service,0,1
9548,43,Female,Italy,2.8,262.6,7.1,Good,26.9,80,Low,5.5,None,Service,0,0
9549,27,Male,South Korea,1.2,117.1,4.1,Poor,30.8,72,High,11.6,Moderate,Healthcare,0,0
9550,18,Female,Italy,2.8,265.0,4.1,Poor,22.1,61,High,4.4,Mild,Student,0,0
9551,39,Female,France,1.9,184.1,6.5,Good,26.3,63,Low,5.9,None,Healthcare,1,0
9552,35,Female,Spain,3.0,284.2,8.1,Excellent,22.1,82,Low,5.7,None,Other,1,1
9553,41,Male,Netherlands,2.6,245.9,7.9,Good,24.6,70,Low,13.7,None,Student,0,0
9554,32,Female,India,4.0,384.1,4.5,Poor,21.0,73,High,0.1,Mild,Other,0,0
9555,29,Male,Germany,0.4,40.4,8.3,Excellent,21.8,69,Low,2.1,None,Healthcare,0,1
9556,59,Female,Spain,0.0,0.0,7.6,Good,23.4,71,Low,13.9,Mild,Service,0,1
9557,18,Male,Mexico,2.6,248.7,7.1,Good,25.0,72,Low,9.1,None,Office,0,0
9558,43,Female,India,2.0,186.8,9.4,Excellent,30.0,80,Low,1.4,Mild,Office,0,1
9559,28,Female,India,1.7,163.5,6.0,Fair,20.7,65,Medium,7.1,Mild,Other,0,0
9560,30,Male,India,1.4,136.8,8.0,Good,29.9,60,Low,14.1,None,Office,0,0
9561,31,Female,Switzerland,2.4,232.4,6.7,Good,26.8,71,Low,11.3,None,Other,0,0
9562,25,Male,Finland,3.1,296.3,8.5,Excellent,21.4,70,Low,3.8,None,Healthcare,0,0
9563,41,Male,Belgium,3.3,315.9,6.9,Good,21.3,71,Low,6.5,None,Student,1,0
9564,51,Male,Sweden,0.0,0.0,6.4,Good,19.2,89,Low,7.4,Mild,Service,1,0
9565,40,Male,Norway,2.3,222.7,5.9,Fair,20.7,64,Medium,11.5,Mild,Other,1,0
9566,36,Female,Germany,0.0,0.0,7.3,Good,18.0,78,Low,11.7,None,Student,0,0
9567,23,Male,USA,3.8,364.4,5.5,Fair,24.0,68,Medium,4.4,Mild,Student,1,0
9568,41,Female,Finland,3.4,326.1,3.0,Poor,22.3,78,High,10.9,Mild,Other,0,0
9569,60,Female,China,0.9,85.6,8.4,Excellent,21.1,71,Low,14.6,Mild,Service,1,0
9570,30,Female,Germany,2.6,250.1,8.0,Good,28.8,75,Low,1.1,None,Service,0,1
9571,30,Female,Norway,0.0,0.0,7.0,Good,24.6,76,Low,12.2,None,Student,0,0
9572,28,Male,Finland,3.2,299.7,7.4,Good,25.2,64,Low,8.9,None,Office,0,1
9573,29,Female,Spain,3.2,301.8,7.4,Good,28.1,50,Low,5.7,None,Student,0,0
9574,18,Male,USA,3.6,345.5,6.5,Good,19.4,80,Low,11.8,None,Healthcare,1,0
9575,39,Female,Norway,3.4,326.1,4.4,Poor,23.2,50,High,4.9,Mild,Other,0,0
9576,24,Female,Germany,1.7,160.8,7.2,Good,28.3,64,Low,5.0,None,Student,0,1
9577,18,Female,Sweden,1.0,90.9,6.5,Good,18.2,60,Low,7.5,None,Service,0,0
9578,44,Male,Italy,1.5,138.3,9.2,Excellent,25.3,79,Low,6.9,None,Healthcare,1,0
9579,22,Female,Finland,2.3,219.6,7.4,Good,29.9,87,Low,2.0,None,Student,0,0
9580,30,Female,Italy,0.6,57.4,7.7,Good,16.7,71,Low,0.4,None,Other,1,1
9581,52,Female,Netherlands,2.0,188.2,8.5,Excellent,29.9,66,Low,9.5,Mild,Other,0,0
9582,18,Male,Mexico,2.0,188.2,6.8,Good,27.1,63,Low,5.0,None,Other,1,0
9583,18,Female,Netherlands,4.2,396.8,8.8,Excellent,24.8,75,Low,7.9,None,Service,1,0
9584,38,Male,Switzerland,3.2,304.6,5.3,Fair,28.6,57,Medium,3.1,Mild,Other,0,0
9585,48,Female,Norway,1.4,135.0,6.7,Good,25.5,53,Low,8.5,None,Healthcare,0,0
9586,18,Female,France,2.9,279.1,8.2,Excellent,20.1,62,Low,5.0,None,Office,0,0
9587,39,Male,China,3.1,297.5,5.1,Fair,22.3,66,Medium,9.2,Mild,Healthcare,0,0
9588,41,Male,France,0.0,0.0,6.6,Good,23.7,50,Low,10.2,None,Service,1,0
9589,18,Female,Mexico,5.6,533.3,6.7,Good,26.4,89,Low,0.0,None,Service,1,1
9590,44,Male,UK,2.2,211.5,7.3,Good,21.1,64,Low,6.5,None,Healthcare,0,1
9591,45,Male,Belgium,1.1,109.1,6.1,Good,24.7,60,Low,10.9,None,Healthcare,0,0
9592,31,Female,Germany,2.5,240.4,8.4,Excellent,24.2,78,Low,11.1,None,Healthcare,0,0
9593,50,Female,Brazil,1.1,106.6,5.6,Fair,24.7,56,Medium,5.7,Mild,Service,0,0
9594,48,Female,Italy,0.0,0.0,7.3,Good,26.9,65,Low,12.3,None,Other,1,0
9595,36,Male,UK,3.3,317.8,5.7,Fair,22.2,73,Medium,9.8,Mild,Service,1,1
9596,29,Male,Switzerland,2.6,243.5,4.4,Poor,20.2,61,High,14.8,Mild,Other,0,0
9597,23,Female,Norway,2.9,274.7,5.7,Fair,23.3,70,Medium,7.7,Mild,Healthcare,1,0
9598,34,Female,Brazil,0.0,0.0,6.6,Good,17.7,74,Low,5.6,None,Other,0,0
9599,41,Female,India,3.2,302.4,5.0,Poor,26.1,66,High,13.8,Mild,Student,1,0
9600,31,Female,UK,2.2,205.2,8.2,Excellent,25.9,90,Low,6.1,None,Office,1,0
9601,18,Male,Sweden,0.6,58.9,7.1,Good,24.8,68,Low,9.6,None,Other,0,0
9602,50,Male,France,1.1,107.8,7.2,Good,18.8,70,Low,12.4,None,Office,0,0
9603,37,Female,Switzerland,4.9,461.5,6.2,Good,20.2,70,Low,6.9,None,Healthcare,0,0
9604,30,Female,USA,1.8,175.2,6.6,Good,30.5,70,Low,6.6,Mild,Office,0,0
9605,45,Female,Brazil,4.8,455.1,7.0,Good,23.0,66,Low,4.3,None,Student,0,1
9606,53,Female,Germany,1.1,100.9,6.2,Good,27.0,82,Low,14.4,Mild,Service,1,0
9607,18,Female,Mexico,1.6,155.7,4.0,Poor,34.5,84,High,14.2,Moderate,Office,1,1
9608,40,Female,India,1.9,178.2,4.5,Poor,22.8,76,High,7.0,Mild,Service,0,0
9609,18,Male,Mexico,3.7,347.9,6.8,Good,26.0,72,Low,4.9,None,Service,0,0
9610,40,Other,UK,2.9,272.9,6.2,Good,23.7,66,Low,1.9,None,Other,0,1
9611,36,Female,Belgium,2.8,261.5,9.8,Excellent,26.6,66,Low,7.2,None,Office,0,1
9612,42,Male,Spain,4.1,385.3,7.5,Good,26.1,94,Low,13.4,None,Other,0,1
9613,29,Female,France,3.4,323.9,7.0,Good,26.1,68,Low,13.0,None,Office,1,0
9614,18,Male,South Korea,0.5,43.7,5.0,Poor,30.0,51,High,1.7,Mild,Student,0,0
9615,29,Female,USA,3.9,373.5,5.6,Fair,21.1,87,Medium,7.3,Mild,Student,0,0
9616,39,Male,Norway,0.9,84.9,8.1,Excellent,24.8,55,Low,12.2,None,Other,0,0
9617,47,Female,Norway,4.0,377.9,6.6,Good,23.8,61,Low,12.5,None,Healthcare,0,1
9618,20,Female,Finland,3.2,300.3,5.4,Fair,19.9,70,Medium,14.0,Mild,Service,0,0
9619,47,Female,Switzerland,3.4,318.5,5.1,Fair,24.7,71,Medium,3.0,Mild,Service,0,0
9620,27,Female,Canada,1.8,174.7,7.4,Good,28.6,70,Low,6.2,None,Office,0,0
9621,39,Female,France,0.9,83.2,6.1,Good,18.2,72,Low,14.3,None,Student,0,0
9622,28,Male,India,2.3,215.9,6.1,Good,28.1,64,Low,4.1,None,Other,0,0
9623,37,Male,South Korea,2.9,279.2,6.3,Good,25.7,55,Low,5.0,None,Healthcare,0,1
9624,45,Female,Canada,3.4,319.2,8.2,Excellent,27.7,68,Low,3.4,None,Office,0,1
9625,20,Female,Norway,1.7,164.0,6.5,Good,24.1,59,Low,8.1,None,Student,0,0
9626,26,Male,India,1.5,141.3,8.5,Excellent,36.0,78,Low,7.9,Mild,Healthcare,0,0
9627,37,Male,Canada,2.0,192.2,6.2,Good,25.7,65,Low,12.3,None,Healthcare,0,0
9628,63,Male,France,3.7,351.3,4.7,Poor,24.9,69,High,6.2,Moderate,Other,0,0
9629,24,Female,Spain,0.0,0.0,6.7,Good,24.4,83,Low,3.8,None,Other,0,0
9630,59,Female,Canada,2.1,197.6,6.7,Good,20.9,73,Low,12.5,Mild,Student,0,1
9631,59,Male,Norway,1.5,138.6,4.8,Poor,22.9,62,High,9.7,Moderate,Other,0,0
9632,33,Female,Germany,3.2,308.3,5.3,Fair,22.3,68,Medium,2.3,Mild,Office,0,0
9633,31,Male,Mexico,4.1,390.2,7.1,Good,26.4,72,Low,8.6,None,Service,0,0
9634,26,Female,Canada,0.1,5.2,6.4,Good,27.9,76,Low,6.9,None,Office,0,1
9635,34,Male,Japan,3.0,282.8,7.6,Good,28.4,71,Low,12.7,None,Office,0,0
9636,18,Female,China,3.8,363.5,4.8,Poor,22.5,63,High,9.0,Mild,Healthcare,0,1
9637,34,Male,China,1.0,97.6,5.8,Fair,18.6,82,Medium,11.9,Mild,Student,1,0
9638,52,Male,Norway,4.0,375.5,7.3,Good,27.0,60,Low,7.0,Mild,Student,0,0
9639,27,Female,Japan,1.0,95.8,7.0,Good,20.7,76,Low,14.7,None,Healthcare,0,0
9640,32,Male,UK,3.4,321.9,4.5,Poor,28.8,74,High,12.0,Mild,Office,0,0
9641,18,Female,UK,4.3,404.6,6.7,Good,26.2,71,Low,9.0,None,Office,0,0
9642,39,Female,Canada,1.4,129.5,8.5,Excellent,26.4,60,Low,12.2,None,Service,0,0
9643,38,Male,UK,2.1,199.8,6.5,Good,21.4,50,Low,4.8,None,Service,0,1
9644,35,Female,Canada,4.2,396.2,5.7,Fair,22.8,56,Medium,14.7,Mild,Student,0,0
9645,32,Male,Mexico,0.0,0.0,8.2,Excellent,22.1,73,Low,6.2,None,Office,0,0
9646,31,Female,Mexico,3.2,306.9,5.8,Fair,28.4,75,Medium,5.6,Mild,Service,1,1
9647,41,Other,Belgium,5.2,493.7,6.9,Good,20.2,87,Low,11.8,None,Healthcare,1,0
9648,34,Male,Australia,0.0,0.0,6.6,Good,27.8,70,Low,9.5,None,Office,0,1
9649,38,Female,India,4.1,391.0,5.1,Fair,27.6,72,Medium,11.5,Mild,Other,0,1
9650,37,Male,Germany,3.7,355.1,5.8,Fair,23.4,64,Medium,11.7,Mild,Service,0,0
9651,48,Female,Canada,2.4,229.8,3.9,Poor,31.2,67,High,9.5,Moderate,Healthcare,0,0
9652,43,Male,South Korea,3.1,295.9,7.5,Good,26.2,71,Low,12.7,None,Healthcare,1,0
9653,37,Male,Spain,2.9,272.5,7.4,Good,15.7,88,Low,10.9,None,Other,0,0
9654,53,Other,South Korea,1.7,159.9,7.0,Good,25.5,74,Low,8.7,Mild,Service,1,1
9655,40,Male,China,4.4,413.8,5.6,Fair,20.0,68,Medium,11.4,Mild,Student,0,0
9656,50,Female,Canada,2.5,236.6,7.6,Good,22.4,64,Low,7.5,None,Healthcare,0,0
9657,42,Female,UK,3.1,293.6,7.3,Good,28.3,50,Low,7.3,None,Office,1,1
9658,18,Female,Australia,1.1,100.7,7.8,Good,20.9,57,Low,5.1,None,Student,0,1
9659,50,Female,Australia,0.0,0.0,7.5,Good,28.0,66,Low,12.7,None,Healthcare,0,0
9660,36,Female,South Korea,0.7,69.5,6.6,Good,24.0,70,Low,4.5,None,Healthcare,1,0
9661,34,Male,Spain,5.2,498.2,5.9,Fair,23.1,63,Medium,3.8,Mild,Other,0,1
9662,38,Female,Germany,3.5,329.3,4.1,Poor,19.0,82,High,3.3,Mild,Service,0,0
9663,30,Female,Australia,1.9,175.9,5.3,Fair,19.8,78,Medium,9.9,Mild,Service,0,1
9664,37,Male,France,3.4,319.1,7.0,Good,27.7,76,Low,3.0,None,Other,1,1
9665,27,Male,South Korea,3.1,297.8,8.4,Excellent,22.0,82,Low,13.0,None,Other,0,0
9666,50,Female,Italy,0.0,0.0,8.0,Good,22.8,82,Low,10.5,None,Student,0,1
9667,33,Other,Finland,3.8,358.6,6.1,Good,23.8,66,Low,11.8,None,Student,0,1
9668,30,Female,Belgium,0.0,0.0,6.0,Good,25.9,65,Low,2.1,None,Other,0,0
9669,23,Female,Japan,1.6,147.9,7.6,Good,31.2,69,Low,0.2,Mild,Student,1,1
9670,38,Male,South Korea,1.0,97.8,7.1,Good,26.5,66,Low,1.2,None,Office,0,1
9671,37,Female,France,2.8,266.2,5.6,Fair,34.8,55,Medium,10.2,Moderate,Other,1,0
9672,39,Female,Japan,2.8,267.6,6.8,Good,26.5,75,Low,1.5,None,Service,1,1
9673,22,Male,Sweden,0.0,0.0,7.9,Good,19.3,70,Low,7.1,None,Service,0,1
9674,18,Male,USA,4.3,412.8,4.4,Poor,24.5,83,High,12.0,Mild,Other,0,0
9675,42,Male,Spain,2.6,246.4,6.5,Good,33.5,57,Low,5.4,Mild,Service,0,1
9676,52,Female,Italy,3.9,374.7,8.0,Good,31.3,80,Low,0.7,Moderate,Healthcare,0,1
9677,22,Male,Spain,2.5,242.2,7.9,Good,28.8,92,Low,13.3,None,Office,0,0
9678,54,Male,Germany,2.8,262.6,6.6,Good,17.5,63,Low,10.6,Mild,Healthcare,0,0
9679,38,Male,Norway,0.3,33.1,5.7,Fair,29.9,64,Medium,0.5,Mild,Other,0,0
9680,34,Male,Germany,1.3,126.6,5.1,Fair,22.0,72,Medium,4.9,Mild,Service,0,1
9681,30,Male,Germany,2.2,206.9,7.7,Good,25.1,75,Low,5.6,None,Student,0,0
9682,18,Female,Norway,3.5,336.7,5.8,Fair,24.1,50,Medium,13.0,Mild,Healthcare,1,0
9683,46,Male,Italy,1.8,173.3,7.5,Good,22.9,79,Low,1.3,None,Healthcare,0,0
9684,25,Female,Sweden,1.4,135.0,8.2,Excellent,23.9,52,Low,11.5,None,Service,0,0
9685,25,Female,India,1.1,108.8,5.9,Fair,22.6,78,Medium,14.6,Mild,Student,0,0
9686,46,Female,Netherlands,3.0,288.6,6.1,Good,16.2,52,Low,5.8,None,Other,0,0
9687,18,Female,Canada,2.4,224.4,8.0,Excellent,19.1,64,Low,0.4,None,Service,0,0
9688,18,Male,France,1.2,111.7,6.6,Good,26.5,80,Low,3.6,None,Office,0,1
9689,34,Male,France,2.2,209.9,7.4,Good,29.3,64,Low,1.9,None,Office,0,1
9690,38,Male,Japan,1.4,130.2,6.4,Good,24.6,81,Low,11.8,None,Other,0,0
9691,40,Other,Australia,1.0,98.1,5.5,Fair,26.9,70,Medium,5.3,Mild,Other,0,1
9692,31,Male,India,0.1,9.8,7.6,Good,23.0,71,Low,13.5,None,Office,0,0
9693,65,Female,Belgium,0.5,43.9,8.8,Excellent,23.0,65,Low,13.7,Mild,Student,0,0
9694,32,Female,Belgium,2.4,230.0,7.1,Good,21.8,61,Low,5.5,None,Other,0,1
9695,32,Female,France,0.0,0.0,7.7,Good,18.2,87,Low,9.1,None,Office,0,0
9696,25,Female,Sweden,1.2,117.4,7.6,Good,26.0,71,Low,14.2,None,Student,0,1
9697,36,Female,China,3.5,329.7,8.5,Excellent,23.1,56,Low,1.3,None,Student,0,0
9698,42,Male,UK,4.0,377.4,6.0,Good,28.4,77,Low,11.6,None,Other,0,0
9699,49,Female,Switzerland,3.1,290.2,3.9,Poor,26.3,56,High,0.7,Mild,Healthcare,0,0
9700,18,Male,Finland,3.7,353.8,8.0,Good,26.2,70,Low,6.7,None,Student,0,0
9701,32,Female,Canada,2.5,240.3,4.9,Poor,24.0,58,High,7.7,Mild,Other,0,0
9702,40,Female,Sweden,0.9,87.5,6.3,Good,18.8,61,Low,8.2,None,Student,0,0
9703,42,Male,Switzerland,3.5,335.2,5.5,Fair,19.7,73,Medium,12.7,Mild,Service,0,0
9704,35,Female,Mexico,3.2,306.9,5.6,Fair,22.6,73,Medium,3.1,Mild,Student,0,0
9705,41,Male,South Korea,1.7,160.6,7.8,Good,27.9,57,Low,6.6,None,Healthcare,0,0
9706,25,Female,Canada,1.6,148.8,7.6,Good,26.8,72,Low,4.1,None,Student,0,0
9707,53,Female,Japan,2.4,231.0,5.6,Fair,34.2,53,Medium,8.9,Severe,Healthcare,1,0
9708,46,Female,South Korea,4.2,399.0,7.9,Good,19.4,83,Low,8.4,None,Office,0,0
9709,18,Male,India,1.9,183.9,6.4,Good,27.6,71,Low,11.8,None,Healthcare,1,0
9710,22,Male,Italy,0.0,0.0,9.2,Excellent,20.0,69,Low,2.7,None,Student,0,1
9711,22,Female,China,3.2,299.3,6.1,Good,27.9,63,Low,12.2,None,Office,1,1
9712,43,Female,France,0.8,79.4,6.3,Good,24.8,62,Low,5.2,None,Office,0,0
9713,19,Male,Brazil,3.2,300.9,6.1,Good,17.8,79,Low,8.5,None,Office,0,1
9714,31,Male,Australia,3.1,295.4,5.5,Fair,23.6,75,Medium,3.4,Mild,Office,1,0
9715,40,Male,Brazil,4.8,456.7,6.9,Good,29.6,81,Low,7.2,None,Student,0,0
9716,34,Female,Norway,2.4,223.4,5.8,Fair,24.1,63,Medium,2.5,Mild,Other,0,1
9717,38,Male,South Korea,3.2,308.2,6.2,Good,25.5,69,Low,10.3,None,Healthcare,1,0
9718,22,Male,Italy,2.7,256.6,7.2,Good,27.1,74,Low,0.7,None,Other,1,0
9719,42,Female,Germany,3.8,362.7,8.8,Excellent,22.1,69,Low,9.0,None,Other,0,0
9720,27,Male,Brazil,0.0,0.0,6.2,Good,30.2,74,Low,11.3,Mild,Healthcare,1,0
9721,31,Female,Mexico,1.5,141.0,6.1,Good,25.4,64,Low,13.2,None,Service,0,0
9722,37,Male,UK,2.1,202.3,6.0,Fair,29.0,58,Medium,12.3,Mild,Healthcare,1,0
9723,36,Male,South Korea,2.6,244.2,7.2,Good,25.5,75,Low,13.4,None,Service,0,0
9724,35,Female,Netherlands,0.7,64.5,6.3,Good,24.3,55,Low,9.2,None,Healthcare,0,0
9725,25,Male,Spain,2.9,279.7,5.5,Fair,21.4,91,Medium,0.8,Mild,Other,0,0
9726,31,Male,China,3.8,363.2,6.5,Good,27.2,68,Low,14.6,None,Other,0,0
9727,35,Female,Canada,1.5,138.8,7.5,Good,22.4,66,Low,11.7,None,Healthcare,1,0
9728,18,Male,Canada,1.0,99.0,6.3,Good,22.4,72,Low,8.9,None,Office,0,0
9729,29,Female,Belgium,3.1,293.9,6.7,Good,15.2,75,Low,6.9,None,Service,0,0
9730,39,Male,Brazil,2.7,260.2,6.9,Good,20.4,66,Low,1.5,None,Office,0,1
9731,19,Female,UK,2.9,270.8,6.6,Good,21.2,73,Low,0.2,None,Service,0,0
9732,48,Female,Mexico,0.3,30.6,7.3,Good,23.7,64,Low,6.5,None,Other,1,1
9733,50,Male,Brazil,6.6,627.4,5.0,Poor,26.3,85,High,14.6,Mild,Service,0,0
9734,20,Male,Spain,0.0,0.0,5.7,Fair,21.7,78,Medium,7.9,Mild,Other,0,1
9735,51,Female,China,3.8,360.9,5.5,Fair,21.7,66,Medium,5.9,Moderate,Healthcare,1,0
9736,33,Male,Belgium,1.4,135.3,4.0,Poor,29.6,66,High,6.8,Mild,Healthcare,0,0
9737,40,Male,Canada,7.0,668.1,4.5,Poor,27.7,67,High,4.5,Mild,Student,0,1
9738,29,Male,Spain,3.2,300.1,7.4,Good,23.0,70,Low,14.7,None,Student,0,0
9739,46,Female,Belgium,4.1,389.5,7.2,Good,22.0,76,Low,2.0,None,Healthcare,0,1
9740,39,Female,Mexico,3.2,308.5,4.9,Poor,19.6,78,High,10.4,Mild,Student,0,0
9741,25,Male,Sweden,0.0,0.0,5.0,Poor,25.7,71,High,6.8,Mild,Healthcare,0,1
9742,21,Female,Japan,2.7,253.5,6.6,Good,30.0,73,Low,2.3,None,Office,0,1
9743,18,Female,Belgium,3.0,288.9,7.2,Good,22.1,70,Low,8.8,None,Other,1,1
9744,37,Male,Finland,3.2,305.0,5.6,Fair,24.5,80,Medium,8.9,Mild,Healthcare,0,0
9745,41,Female,China,4.3,406.1,5.6,Fair,25.6,68,Medium,2.7,Mild,Student,0,1
9746,42,Female,Japan,2.8,269.9,7.5,Good,21.3,90,Low,6.9,None,Student,0,0
9747,33,Female,Switzerland,3.7,352.2,8.5,Excellent,19.6,85,Low,13.5,None,Student,0,1
9748,21,Male,Canada,1.4,129.1,6.1,Good,19.0,67,Low,1.7,None,Office,0,0
9749,26,Other,UK,0.0,0.0,7.7,Good,28.9,69,Low,14.6,None,Office,0,0
9750,48,Female,Belgium,1.1,105.9,6.8,Good,22.8,50,Low,0.1,None,Office,0,0
9751,29,Female,Switzerland,1.4,131.7,8.1,Excellent,28.5,58,Low,9.3,None,Healthcare,0,1
9752,36,Female,Belgium,1.1,106.0,5.5,Fair,24.7,66,Medium,8.4,Mild,Other,0,0
9753,22,Male,China,0.7,63.1,6.9,Good,31.7,66,Low,0.2,Mild,Office,0,0
9754,39,Female,France,1.1,101.0,6.1,Good,18.8,75,Low,9.3,None,Student,0,0
9755,29,Female,Spain,1.8,174.7,6.6,Good,28.0,78,Low,12.0,None,Student,1,1
9756,47,Male,Germany,1.0,92.1,7.9,Good,22.7,54,Low,0.9,None,Office,0,0
9757,44,Male,India,6.4,603.3,6.0,Good,18.0,61,Low,7.5,None,Other,0,0
9758,29,Male,Japan,0.4,38.0,6.0,Good,21.8,56,Low,11.0,None,Other,0,0
9759,33,Female,China,3.2,300.2,7.6,Good,15.0,57,Low,11.9,None,Other,0,0
9760,28,Female,Mexico,1.7,160.4,7.4,Good,16.8,70,Low,12.3,None,Student,0,0
9761,18,Female,Spain,3.3,314.0,6.8,Good,26.6,81,Low,1.2,None,Healthcare,0,0
9762,24,Male,Norway,2.1,203.0,5.2,Fair,23.7,83,Medium,10.0,Mild,Service,0,0
9763,37,Female,France,3.8,358.7,7.0,Good,26.3,83,Low,10.8,None,Office,0,0
9764,38,Female,Mexico,1.9,180.6,5.9,Fair,25.4,52,Medium,4.1,Mild,Office,0,0
9765,36,Male,Netherlands,2.6,249.9,5.4,Fair,23.9,66,Medium,14.6,Mild,Service,0,1
9766,31,Male,Spain,0.0,0.0,5.9,Fair,27.8,71,Medium,10.8,Mild,Service,0,0
9767,46,Male,Norway,0.4,41.6,7.6,Good,18.4,77,Low,13.8,None,Student,1,1
9768,35,Female,Netherlands,0.2,16.0,7.5,Good,27.9,50,Low,10.4,None,Student,0,0
9769,43,Female,Netherlands,4.8,453.6,6.3,Good,23.2,64,Low,2.0,None,Office,0,0
9770,18,Other,UK,3.9,370.3,3.8,Poor,24.2,86,High,3.9,Mild,Healthcare,0,0
9771,18,Male,Sweden,2.8,265.3,7.9,Good,29.7,70,Low,6.3,None,Office,0,0
9772,38,Female,Netherlands,4.1,386.5,7.4,Good,18.3,85,Low,6.4,None,Office,0,0
9773,18,Female,Italy,1.0,93.0,6.2,Good,26.4,77,Low,9.7,None,Office,0,1
9774,32,Male,South Korea,4.7,449.5,7.9,Good,19.8,66,Low,8.7,None,Student,0,1
9775,31,Male,USA,2.6,251.3,5.4,Fair,29.7,76,Medium,1.3,Mild,Office,0,0
9776,54,Female,Norway,2.1,203.5,6.8,Good,31.3,81,Low,12.6,Moderate,Healthcare,0,0
9777,39,Female,India,4.0,382.1,6.5,Good,26.8,68,Low,12.8,None,Healthcare,0,0
9778,36,Male,Brazil,3.9,373.6,6.7,Good,28.0,64,Low,12.8,None,Healthcare,0,0
9779,45,Male,Japan,0.4,35.2,5.3,Fair,15.7,59,Medium,3.3,Mild,Office,1,0
9780,39,Female,Japan,3.8,360.3,4.5,Poor,21.4,80,High,4.8,Mild,Service,0,1
9781,29,Female,Germany,2.2,212.9,6.6,Good,24.0,80,Low,11.0,None,Office,0,0
9782,47,Female,China,2.9,277.0,5.5,Fair,25.4,62,Medium,6.1,Mild,Service,0,0
9783,21,Male,UK,1.9,178.8,7.1,Good,22.1,58,Low,6.7,None,Office,0,1
9784,38,Male,France,0.9,81.2,7.0,Good,22.1,64,Low,9.0,None,Healthcare,0,1
9785,18,Male,Netherlands,0.5,44.7,8.5,Excellent,21.0,67,Low,0.5,None,Service,0,0
9786,37,Female,Netherlands,1.6,149.2,8.3,Excellent,24.1,77,Low,0.5,None,Healthcare,0,0
9787,37,Female,Japan,3.2,299.6,6.6,Good,20.4,87,Low,0.9,None,Office,0,1
9788,55,Female,India,2.9,273.8,8.4,Excellent,16.2,64,Low,3.3,Mild,Student,1,1
9789,18,Male,Canada,2.8,266.4,6.8,Good,15.0,87,Low,14.7,None,Service,0,0
9790,27,Female,Germany,3.7,351.1,6.4,Good,26.0,60,Low,1.5,None,Office,0,0
9791,44,Female,France,2.4,229.6,8.7,Excellent,24.4,77,Low,13.3,None,Healthcare,0,0
9792,39,Female,Canada,5.3,507.5,5.1,Fair,23.9,85,Medium,1.8,Mild,Other,0,1
9793,37,Female,USA,3.1,291.3,4.7,Poor,27.9,61,High,11.1,Mild,Student,0,0
9794,23,Female,UK,1.0,96.9,6.6,Good,17.7,59,Low,9.5,None,Other,0,1
9795,27,Female,USA,0.5,46.8,7.1,Good,23.4,72,Low,10.9,None,Other,0,1
9796,49,Male,China,3.0,284.9,7.3,Good,29.7,82,Low,1.3,None,Student,1,1
9797,34,Female,Germany,2.2,206.9,5.3,Fair,22.4,69,Medium,11.3,Mild,Healthcare,0,0
9798,39,Male,Brazil,0.8,72.8,6.7,Good,23.2,79,Low,4.9,None,Other,1,0
9799,33,Female,Canada,2.3,215.0,5.2,Fair,27.9,77,Medium,3.8,Mild,Other,0,0
9800,20,Female,UK,1.7,159.0,6.4,Good,23.0,56,Low,9.4,None,Office,0,0
9801,46,Male,France,1.8,174.3,8.3,Excellent,16.8,70,Low,1.5,None,Student,0,0
9802,41,Female,France,4.5,430.9,6.5,Good,23.4,82,Low,3.6,None,Service,0,1
9803,62,Female,Switzerland,3.6,339.8,5.3,Fair,21.3,62,Medium,8.3,Moderate,Other,0,0
9804,22,Female,Belgium,4.1,386.8,4.0,Poor,19.1,64,High,11.7,Mild,Office,0,0
9805,44,Female,Germany,5.1,482.2,5.8,Fair,29.4,83,Medium,13.0,Mild,Student,0,0
9806,19,Female,Finland,2.7,255.3,6.6,Good,24.8,69,Low,6.4,None,Service,0,1
9807,36,Female,Finland,2.9,273.5,6.6,Good,27.9,75,Low,14.6,None,Service,0,1
9808,46,Male,Germany,3.0,284.0,5.0,Poor,17.8,53,High,11.6,Mild,Other,0,1
9809,18,Male,USA,4.2,395.6,6.6,Good,22.7,77,Low,6.0,None,Healthcare,0,0
9810,32,Male,Sweden,4.1,387.7,4.2,Poor,27.6,64,High,5.9,Mild,Student,0,1
9811,28,Female,Brazil,1.6,153.9,6.9,Good,25.9,55,Low,6.6,None,Office,1,0
9812,26,Male,Spain,0.8,74.5,6.7,Good,29.0,67,Low,11.2,None,Student,0,1
9813,39,Female,Norway,0.9,84.3,7.7,Good,22.2,78,Low,4.8,None,Office,0,1
9814,48,Male,Belgium,2.6,244.9,7.9,Good,24.5,80,Low,1.5,None,Other,0,0
9815,33,Female,South Korea,0.7,61.8,4.1,Poor,24.8,69,High,8.4,Mild,Student,0,1
9816,37,Male,Norway,3.0,289.3,7.3,Good,25.1,66,Low,9.3,None,Other,0,0
9817,36,Female,Finland,0.0,0.0,8.3,Excellent,24.4,54,Low,14.1,None,Healthcare,0,0
9818,35,Female,Spain,5.3,504.0,7.0,Good,22.3,78,Low,2.0,None,Office,1,0
9819,21,Female,Mexico,0.4,42.1,6.3,Good,27.2,69,Low,8.0,None,Healthcare,0,0
9820,48,Female,Belgium,1.5,144.6,8.1,Excellent,26.6,68,Low,3.2,None,Office,1,1
9821,38,Female,Belgium,1.6,155.2,6.1,Good,25.0,67,Low,11.3,None,Healthcare,0,0
9822,39,Female,Netherlands,4.7,446.1,5.0,Poor,21.2,80,High,5.3,Mild,Student,0,1
9823,25,Female,Belgium,2.5,236.5,6.6,Good,22.9,78,Low,9.6,None,Office,1,1
9824,29,Male,UK,0.9,85.6,6.7,Good,17.8,80,Low,2.6,None,Other,0,1
9825,32,Female,UK,2.4,227.2,7.7,Good,22.1,78,Low,8.7,None,Office,1,1
9826,18,Female,UK,2.6,243.9,5.8,Fair,24.1,67,Medium,0.2,Mild,Service,0,1
9827,18,Male,South Korea,3.1,292.6,6.7,Good,27.8,66,Low,12.6,None,Office,0,0
9828,27,Female,India,0.9,81.5,5.5,Fair,21.4,68,Medium,8.9,Mild,Office,0,0
9829,41,Female,UK,3.8,363.5,8.0,Excellent,22.2,71,Low,3.3,None,Service,1,0
9830,27,Female,Mexico,2.7,256.0,7.3,Good,27.7,78,Low,5.0,None,Healthcare,0,0
9831,22,Female,Australia,4.7,446.5,3.6,Poor,29.0,71,High,2.2,Mild,Healthcare,1,0
9832,25,Male,UK,2.2,212.8,8.1,Excellent,23.1,69,Low,10.1,None,Office,0,0
9833,29,Male,Spain,2.4,226.7,6.8,Good,26.6,74,Low,5.6,None,Healthcare,0,0
9834,30,Male,Switzerland,2.3,213.9,6.8,Good,20.7,75,Low,14.3,None,Service,0,0
9835,60,Male,Canada,4.4,415.9,8.5,Excellent,24.7,64,Low,13.4,Mild,Other,0,1
9836,47,Female,Spain,3.5,335.1,4.5,Poor,23.9,67,High,12.2,Mild,Healthcare,0,0
9837,47,Male,Japan,1.4,133.3,7.3,Good,19.7,61,Low,4.0,None,Office,0,1
9838,49,Female,France,6.5,618.7,5.6,Fair,25.2,66,Medium,4.4,Mild,Other,0,0
9839,23,Female,Spain,1.5,146.1,5.7,Fair,22.2,82,Medium,6.1,Mild,Other,1,0
9840,20,Female,Belgium,1.7,162.7,8.4,Excellent,31.0,78,Low,13.8,Mild,Other,0,0
9841,21,Male,Canada,3.9,374.8,5.4,Fair,21.6,78,Medium,7.1,Mild,Office,0,0
9842,51,Male,Sweden,2.3,214.6,6.0,Fair,17.3,78,Medium,1.4,Moderate,Other,1,0
9843,28,Male,Belgium,0.9,83.9,7.2,Good,24.3,50,Low,3.5,None,Service,0,1
9844,19,Male,France,4.3,413.1,7.8,Good,26.8,69,Low,0.7,None,Other,0,0
9845,29,Other,Mexico,5.5,522.9,5.8,Fair,22.9,74,Medium,0.9,Mild,Service,0,0
9846,32,Female,Mexico,1.0,91.4,7.8,Good,25.8,61,Low,13.8,None,Office,1,1
9847,38,Male,Sweden,4.3,412.0,8.4,Excellent,27.1,56,Low,9.3,None,Office,0,0
9848,38,Female,Norway,1.8,167.1,8.9,Excellent,22.6,67,Low,1.5,None,Office,1,0
9849,25,Male,Sweden,0.0,0.0,8.5,Excellent,34.4,76,Low,8.8,Mild,Other,0,0
9850,43,Female,Brazil,3.5,330.4,8.0,Good,23.0,80,Low,14.6,None,Healthcare,0,0
9851,27,Male,Germany,0.0,0.0,8.2,Excellent,31.5,56,Low,0.2,Mild,Healthcare,0,1
9852,33,Female,China,1.4,133.4,5.2,Fair,27.8,73,Medium,11.2,Mild,Other,0,1
9853,43,Male,Sweden,2.1,198.3,7.2,Good,30.7,57,Low,2.6,Mild,Student,1,0
9854,27,Male,Finland,2.5,232.8,7.2,Good,27.1,74,Low,5.7,None,Student,1,1
9855,28,Male,Sweden,4.1,393.3,7.1,Good,25.8,64,Low,1.7,None,Service,0,1
9856,42,Male,Netherlands,1.6,150.1,5.7,Fair,21.0,76,Medium,0.1,Mild,Healthcare,0,0
9857,24,Female,Mexico,4.6,436.4,7.0,Good,22.3,75,Low,1.5,None,Other,0,0
9858,30,Male,Norway,2.4,224.5,7.9,Good,20.3,87,Low,8.6,None,Office,0,0
9859,41,Female,Australia,0.9,82.7,7.2,Good,25.5,70,Low,13.5,None,Healthcare,0,0
9860,59,Female,Canada,3.4,322.2,5.2,Fair,28.6,75,Medium,0.3,Moderate,Other,0,0
9861,42,Female,Finland,5.2,494.0,5.5,Fair,24.9,78,Medium,0.9,Mild,Student,0,1
9862,40,Female,USA,1.8,171.9,7.2,Good,26.6,66,Low,2.4,None,Student,0,0
9863,41,Male,India,0.9,88.7,7.0,Good,28.9,81,Low,14.6,None,Student,0,0
9864,22,Female,France,1.6,155.3,5.0,Fair,21.7,94,Medium,2.6,Mild,Service,1,1
9865,36,Female,Finland,0.0,0.0,7.4,Good,26.9,67,Low,7.0,None,Other,0,0
9866,34,Female,Spain,3.0,281.1,5.2,Fair,29.2,63,Medium,0.6,Mild,Other,0,0
9867,38,Female,Italy,0.2,16.3,5.8,Fair,27.7,50,Medium,12.8,Mild,Office,0,0
9868,36,Female,Norway,3.5,328.9,5.1,Fair,30.0,93,Medium,14.2,Moderate,Other,0,0
9869,39,Male,China,2.1,199.5,4.9,Poor,29.2,81,High,11.3,Mild,Office,0,0
9870,31,Female,Finland,3.5,336.4,3.9,Poor,20.4,73,High,8.4,Mild,Student,1,0
9871,35,Female,Spain,2.1,200.0,5.1,Fair,22.5,79,Medium,3.7,Mild,Healthcare,0,0
9872,20,Male,Canada,3.2,306.7,6.7,Good,26.1,60,Low,2.7,None,Student,1,0
9873,31,Female,India,1.0,96.8,7.1,Good,24.4,83,Low,7.7,None,Other,0,0
9874,51,Male,Germany,2.9,277.3,6.2,Good,15.3,73,Low,4.4,Mild,Office,0,0
9875,38,Male,Norway,1.5,143.9,6.4,Good,15.0,67,Low,10.1,None,Student,0,1
9876,34,Female,Netherlands,3.4,324.4,6.6,Good,16.0,72,Low,4.0,None,Other,0,0
9877,57,Female,Switzerland,2.3,217.0,5.9,Fair,27.9,62,Medium,2.6,Moderate,Other,0,0
9878,18,Female,Belgium,4.2,394.6,5.5,Fair,25.5,64,Medium,8.7,Mild,Office,0,0
9879,21,Female,China,2.1,201.6,7.0,Good,22.9,58,Low,11.4,None,Service,0,0
9880,55,Male,UK,1.4,130.8,8.1,Excellent,21.7,72,Low,1.1,Mild,Healthcare,0,1
9881,35,Female,Switzerland,2.7,256.8,5.6,Fair,27.3,72,Medium,9.3,Mild,Service,0,1
9882,32,Male,Italy,6.0,571.6,6.2,Good,26.7,54,Low,12.2,None,Student,1,0
9883,20,Male,Netherlands,4.1,391.0,5.2,Fair,17.9,56,Medium,0.1,Mild,Service,0,0
9884,40,Male,Canada,1.3,123.3,7.3,Good,20.2,80,Low,3.4,None,Office,0,0
9885,41,Female,Netherlands,2.5,237.0,9.6,Excellent,22.5,77,Low,4.5,None,Healthcare,0,0
9886,21,Female,India,1.5,142.6,7.5,Good,21.9,66,Low,0.2,None,Service,0,0
9887,33,Female,Sweden,1.2,113.4,7.3,Good,22.8,79,Low,10.2,None,Service,0,0
9888,30,Female,Spain,2.5,239.6,7.1,Good,21.5,54,Low,6.3,None,Healthcare,0,1
9889,38,Male,France,2.1,200.7,6.9,Good,20.8,80,Low,9.7,None,Student,0,1
9890,21,Female,France,0.9,89.2,6.5,Good,25.5,50,Low,6.1,None,Office,0,0
9891,50,Male,Finland,1.5,143.7,5.2,Fair,25.3,69,Medium,2.6,Mild,Healthcare,0,0
9892,45,Male,Brazil,2.6,245.2,6.6,Good,16.0,81,Low,7.7,None,Student,0,0
9893,30,Female,Brazil,1.6,155.1,6.7,Good,21.4,74,Low,10.8,None,Healthcare,0,0
9894,32,Female,Mexico,2.5,235.3,6.5,Good,16.4,83,Low,2.3,None,Office,0,0
9895,33,Female,Belgium,1.5,138.0,7.1,Good,30.2,68,Low,5.3,Mild,Office,0,0
9896,25,Female,China,3.2,304.2,7.2,Good,23.9,71,Low,11.0,None,Service,0,1
9897,29,Female,Finland,1.5,139.6,7.3,Good,22.5,83,Low,9.8,None,Service,0,0
9898,31,Female,Norway,3.5,327.9,6.2,Good,25.7,82,Low,15.0,None,Other,0,0
9899,54,Male,France,2.1,195.8,7.2,Good,28.4,66,Low,2.6,Mild,Other,0,0
9900,46,Male,Japan,0.0,0.0,6.0,Good,16.4,73,Low,5.2,None,Service,0,1
9901,46,Male,China,2.1,199.9,4.7,Poor,20.7,64,High,3.0,Mild,Office,0,0
9902,39,Male,Mexico,3.3,309.5,5.9,Fair,24.0,84,Medium,3.7,Mild,Student,0,0
9903,21,Male,Finland,1.7,158.7,6.8,Good,19.2,70,Low,2.9,None,Service,0,0
9904,34,Other,UK,2.2,209.5,4.6,Poor,21.3,74,High,14.8,Mild,Other,0,0
9905,46,Female,Finland,3.4,326.5,6.6,Good,16.8,69,Low,9.7,None,Office,0,0
9906,19,Female,South Korea,4.8,454.1,6.5,Good,20.3,50,Low,1.3,None,Healthcare,0,0
9907,42,Male,Spain,4.2,401.9,7.4,Good,20.7,62,Low,7.8,None,Service,0,1
9908,62,Male,Switzerland,2.7,253.0,7.0,Good,30.5,56,Low,1.2,Moderate,Service,0,1
9909,47,Male,Sweden,3.3,317.3,4.9,Poor,26.5,74,High,5.9,Mild,Student,0,0
9910,51,Female,Netherlands,2.6,250.3,7.0,Good,18.6,50,Low,9.6,Mild,Office,0,0
9911,37,Male,USA,0.2,23.4,7.0,Good,21.8,72,Low,0.7,None,Student,0,0
9912,46,Female,Brazil,4.4,417.9,6.8,Good,25.3,61,Low,0.7,None,Healthcare,0,1
9913,26,Female,Belgium,4.5,425.0,7.6,Good,20.9,75,Low,3.8,None,Office,1,0
9914,44,Female,France,0.0,0.0,6.2,Good,21.3,70,Low,9.9,None,Student,1,1
9915,42,Male,China,1.9,183.0,6.4,Good,30.5,69,Low,13.9,Mild,Healthcare,0,1
9916,38,Female,Australia,4.8,456.2,6.3,Good,19.1,83,Low,4.1,None,Healthcare,0,0
9917,50,Female,Japan,2.8,268.7,6.0,Good,32.3,81,Low,14.3,Mild,Service,0,0
9918,28,Female,Sweden,1.0,95.1,4.5,Poor,19.0,83,High,8.2,Mild,Office,1,0
9919,32,Male,Norway,4.3,411.1,7.4,Good,15.6,64,Low,7.5,None,Healthcare,0,0
9920,36,Male,Belgium,2.7,254.0,4.1,Poor,30.5,59,High,1.5,Moderate,Student,0,0
9921,22,Male,Norway,4.4,422.1,6.7,Good,25.2,82,Low,14.3,None,Office,0,0
9922,37,Female,Sweden,2.6,249.7,5.1,Fair,23.4,64,Medium,11.9,Mild,Healthcare,0,1
9923,18,Female,UK,0.0,0.0,5.8,Fair,25.5,55,Medium,0.0,Mild,Service,0,0
9924,47,Other,Finland,5.2,495.0,7.0,Good,18.2,60,Low,11.9,None,Other,0,0
9925,35,Male,Australia,0.8,79.7,8.4,Excellent,21.8,72,Low,8.3,None,Other,0,0
9926,28,Male,Australia,1.8,175.2,7.1,Good,27.8,68,Low,1.5,None,Other,0,0
9927,24,Female,China,4.3,408.6,6.0,Good,21.3,82,Low,10.5,None,Healthcare,0,1
9928,32,Male,Australia,5.9,562.5,5.9,Fair,21.2,59,Medium,10.0,Mild,Healthcare,1,0
9929,43,Female,Netherlands,2.4,228.1,8.2,Excellent,28.6,56,Low,10.2,None,Student,0,0
9930,41,Female,India,3.0,288.5,8.0,Good,23.8,68,Low,13.1,None,Other,1,1
9931,26,Female,China,0.7,68.5,7.5,Good,25.4,50,Low,11.4,None,Other,0,0
9932,24,Female,UK,2.1,198.1,8.1,Excellent,18.3,66,Low,13.7,None,Office,0,0
9933,42,Female,Canada,4.1,393.9,5.8,Fair,24.0,80,Medium,5.7,Mild,Office,0,0
9934,26,Other,UK,3.0,281.4,7.4,Good,29.6,92,Low,8.4,None,Healthcare,0,1
9935,35,Male,Brazil,5.1,484.7,4.7,Poor,16.8,68,High,14.8,Mild,Healthcare,0,1
9936,36,Female,Belgium,0.4,38.5,6.3,Good,20.1,65,Low,8.9,None,Service,0,0
9937,38,Female,Finland,0.3,32.6,6.5,Good,28.9,71,Low,6.3,None,Other,0,0
9938,45,Female,Spain,1.5,139.9,8.2,Excellent,25.5,77,Low,7.0,None,Other,0,0
9939,19,Female,Sweden,1.5,146.8,6.5,Good,20.8,81,Low,11.1,None,Healthcare,0,0
9940,18,Other,Brazil,3.9,373.8,7.6,Good,23.6,65,Low,5.5,None,Student,0,1
9941,28,Female,Switzerland,1.9,179.0,6.0,Good,22.8,81,Low,0.7,None,Office,1,1
9942,56,Male,South Korea,0.7,69.7,7.8,Good,15.0,65,Low,13.7,Mild,Other,1,0
9943,59,Female,South Korea,3.1,294.1,7.2,Good,24.2,87,Low,7.2,Mild,Student,0,1
9944,56,Female,South Korea,1.3,128.0,4.1,Poor,17.8,80,High,7.8,Moderate,Office,0,0
9945,32,Female,Brazil,0.9,81.7,8.1,Excellent,25.1,62,Low,5.4,None,Service,0,1
9946,18,Male,Canada,4.1,388.6,5.7,Fair,17.6,73,Medium,13.8,Mild,Healthcare,0,0
9947,18,Female,Spain,4.4,421.9,4.9,Poor,27.4,67,High,2.8,Mild,Student,1,0
9948,27,Male,Netherlands,4.0,377.0,5.4,Fair,23.6,77,Medium,5.9,Mild,Office,0,0
9949,32,Female,Italy,1.2,118.6,6.1,Good,19.2,67,Low,5.7,None,Healthcare,0,1
9950,50,Male,Brazil,1.6,153.5,5.8,Fair,19.3,63,Medium,7.5,Mild,Healthcare,0,0
9951,45,Female,Norway,3.3,315.0,5.4,Fair,21.2,76,Medium,14.5,Mild,Other,1,0
9952,37,Male,Brazil,3.6,343.3,6.2,Good,23.6,75,Low,3.0,None,Office,1,0
9953,24,Male,South Korea,2.2,204.8,7.2,Good,22.8,58,Low,9.5,None,Healthcare,0,1
9954,23,Female,Mexico,4.3,409.2,7.7,Good,25.0,85,Low,8.4,None,Other,0,1
9955,38,Male,India,0.0,0.0,8.9,Excellent,24.7,79,Low,3.9,None,Healthcare,0,0
9956,43,Male,Brazil,1.6,155.9,9.4,Excellent,27.7,78,Low,6.2,None,Office,1,1
9957,39,Male,Belgium,5.8,553.2,6.5,Good,32.4,70,Low,6.3,Mild,Healthcare,1,0
9958,22,Female,Netherlands,2.5,235.5,6.4,Good,23.0,60,Low,3.5,None,Service,0,0
9959,42,Female,France,1.8,169.4,7.6,Good,23.3,82,Low,7.3,None,Service,0,0
9960,40,Male,China,3.2,305.1,5.1,Fair,25.5,64,Medium,2.8,Mild,Service,1,1
9961,22,Female,Switzerland,1.1,101.2,6.6,Good,20.9,62,Low,3.1,None,Service,1,0
9962,25,Male,Germany,0.0,0.0,7.5,Good,18.4,71,Low,12.7,None,Student,0,1
9963,43,Female,India,7.0,665.4,4.8,Poor,20.8,55,High,14.0,Mild,Healthcare,0,1
9964,32,Female,India,1.2,115.1,8.0,Excellent,23.9,73,Low,5.8,None,Healthcare,0,0
9965,54,Other,France,2.8,269.2,7.1,Good,24.9,63,Low,0.2,Mild,Healthcare,0,1
9966,41,Female,UK,2.8,262.3,6.1,Good,32.0,69,Low,13.4,Mild,Healthcare,0,0
9967,29,Male,France,3.2,308.1,7.0,Good,17.5,79,Low,11.9,None,Other,0,1
9968,34,Male,Germany,1.3,124.4,6.5,Good,25.0,83,Low,6.2,None,Student,1,0
9969,35,Female,Switzerland,0.0,0.0,4.9,Poor,22.7,81,High,9.3,Mild,Healthcare,0,0
9970,26,Male,Switzerland,1.5,144.1,8.1,Excellent,28.5,84,Low,13.7,None,Other,0,1
9971,24,Male,Belgium,2.5,241.9,6.5,Good,19.1,70,Low,14.8,None,Student,0,0
9972,43,Male,France,2.7,252.1,6.9,Good,26.9,50,Low,7.0,None,Other,0,1
9973,45,Male,Switzerland,4.8,460.2,7.1,Good,21.7,70,Low,7.0,None,Service,0,1
9974,42,Female,Italy,2.1,197.0,4.5,Poor,27.6,77,High,13.1,Mild,Service,0,0
9975,53,Male,Australia,2.8,267.2,6.4,Good,23.7,65,Low,11.2,Mild,Other,0,0
9976,28,Male,Brazil,1.3,124.6,5.9,Fair,27.2,66,Medium,11.9,Mild,Healthcare,0,1
9977,55,Female,Belgium,1.6,152.3,8.4,Excellent,25.3,58,Low,9.3,Mild,Student,0,0
9978,24,Male,Japan,5.5,523.0,6.1,Good,19.8,79,Low,5.5,None,Office,0,0
9979,22,Female,Japan,1.4,135.7,6.6,Good,15.7,63,Low,2.9,None,Other,0,1
9980,18,Male,UK,1.9,183.6,6.2,Good,30.0,68,Low,14.3,None,Other,0,1
9981,29,Female,Finland,4.1,392.2,8.3,Excellent,22.8,77,Low,2.3,None,Other,0,0
9982,28,Male,USA,5.4,509.1,5.3,Fair,29.0,71,Medium,6.7,Mild,Healthcare,0,0
9983,41,Male,Norway,3.7,353.0,5.2,Fair,23.7,87,Medium,7.2,Mild,Other,0,1
9984,37,Male,Canada,3.7,353.4,5.5,Fair,27.9,68,Medium,13.4,Mild,Office,0,0
9985,20,Female,Japan,0.6,59.1,6.2,Good,20.1,52,Low,10.7,None,Service,0,1
9986,30,Female,Canada,3.3,310.9,6.5,Good,24.6,78,Low,3.6,None,Service,0,0
9987,30,Female,Australia,2.0,193.7,7.5,Good,36.4,71,Low,3.0,Mild,Student,0,0
9988,18,Male,Norway,3.2,304.9,5.5,Fair,20.1,78,Medium,14.2,Mild,Student,0,1
9989,23,Male,Mexico,2.1,197.7,8.5,Excellent,26.4,66,Low,0.7,None,Service,0,1
9990,25,Male,Netherlands,1.6,156.1,7.1,Good,23.8,73,Low,13.4,None,Office,0,0
9991,52,Male,Japan,0.3,29.7,5.2,Fair,25.6,67,Medium,3.3,Moderate,Office,0,0
9992,37,Male,UK,2.4,225.6,4.3,Poor,24.2,56,High,1.3,Mild,Healthcare,0,1
9993,42,Other,Spain,2.8,262.0,6.6,Good,16.8,77,Low,4.3,None,Service,0,1
9994,18,Female,Italy,0.0,0.0,6.2,Good,25.9,75,Low,8.3,None,Service,0,0
9995,49,Female,Germany,1.6,150.1,5.7,Fair,25.5,81,Medium,12.9,Mild,Student,0,1
9996,50,Female,Japan,2.1,199.8,6.0,Fair,30.5,50,Medium,10.1,Moderate,Healthcare,0,1
9997,18,Female,UK,3.4,319.2,5.8,Fair,19.1,71,Medium,11.6,Mild,Service,0,0
9998,26,Male,China,1.6,153.4,7.1,Good,25.1,66,Low,13.7,None,Student,1,1
9999,40,Female,Finland,3.4,327.1,7.0,Good,19.3,80,Low,0.1,None,Student,0,0
10000,42,Female,Brazil,2.9,277.5,6.4,Good,28.1,72,Low,9.8,None,Student,1,0