data1.csv
| ID |
Gender |
Age |
Height |
Weight |
Education |
Income |
MaritalStatus |
Employment |
Score |
Category |
Color |
Hobby |
Happiness |
Location |
| 1 |
Male |
32 |
178 |
75 |
Master's |
50000 |
Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 2 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
Unemployed |
6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 3 |
Male |
NA |
182 |
80 |
PhD |
70000 |
Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 4 |
Female |
29 |
NA |
65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 5 |
Other |
30 |
165 |
NA |
High School |
32000 |
Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
NA |
Rural |
| 6 |
Male |
34 |
190 |
90 |
Master's |
60000 |
Married |
Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 7 |
Female |
27 |
158 |
NA |
Bachelor's |
42000 |
Single |
Unemployed |
NA |
A |
Art |
Green |
Swimming |
6.5 |
City |
| 8 |
Male |
28 |
178 |
78 |
High School |
38000 |
Married |
Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 9 |
Other |
NA |
165 |
56 |
PhD |
55000 |
Single |
Unemployed |
7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 10 |
Female |
26 |
165 |
62 |
NA |
48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 11 |
Male |
32 |
178 |
75 |
Master's |
50000 |
Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 12 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
Unemployed |
6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 13 |
Male |
| 182 |
80 |
PhD |
70000 |
Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 14 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 15 |
Other |
30 |
165 |
| High School |
32000 |
Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 16 |
Male |
34 |
190 |
90 |
Master's |
60000 |
Married |
Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 17 |
Female |
27 |
158 |
| Bachelor's |
42000 |
Single |
Unemployed |
| A |
Art |
Green |
Swimming |
6.5 |
City |
| 18 |
Male |
28 |
178 |
78 |
High School |
38000 |
Married |
Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 19 |
Other |
| 165 |
56 |
PhD |
55000 |
Single |
Unemployed |
7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 20 |
Female |
26 |
165 |
62 |
| 48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 21 |
Male |
32 |
178 |
75 |
Master's |
50000 |
Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 22 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
Unemployed |
6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 23 |
Male |
| 182 |
80 |
PhD |
70000 |
Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 24 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 25 |
Other |
30 |
165 |
| High School |
32000 |
Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 26 |
Male |
34 |
190 |
90 |
Master's |
60000 |
Married |
Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 27 |
Female |
27 |
158 |
| Bachelor's |
42000 |
Single |
Unemployed |
| A |
Art |
Green |
Swimming |
6.5 |
City |
| 28 |
Male |
28 |
178 |
78 |
High School |
38000 |
Married |
Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 29 |
Other |
| 165 |
56 |
PhD |
55000 |
Single |
Unemployed |
7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 30 |
Female |
26 |
165 |
62 |
| 48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 31 |
Female |
29 |
155 |
54 |
Master's |
55000 |
Married |
Employed |
7.3 |
B |
Music |
Blue |
Swimming |
8.2 |
City |
| 32 |
Male |
31 |
180 |
| Bachelor's |
50000 |
Married |
Employed |
6.5 |
A |
Art |
Green |
Reading |
8 |
Rural |
| 33 |
Male |
32 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 34 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 35 |
Other |
28 |
185 |
85 |
High School |
35000 |
Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 36 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 37 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 38 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 39 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 40 |
Other |
28 |
185 |
85 |
High School |
35000 |
Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 41 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 42 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 43 |
Other |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Green |
Reading |
7 |
City |
| 44 |
Female |
28 |
165 |
60 |
High School |
42000 |
Married |
Unemployed |
5.5 |
A |
Sports |
Red |
Traveling |
8 |
Rural |
| 45 |
Male |
30 |
180 |
75 |
Master's |
60000 |
Married |
Employed |
7.5 |
C |
Music |
Blue |
Reading |
8 |
City |
| 46 |
Male |
32 |
178 |
75 |
Master's |
50000 |
Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 47 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
Unemployed |
6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 48 |
Male |
| 182 |
80 |
PhD |
70000 |
Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 49 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 50 |
Other |
30 |
165 |
| High School |
32000 |
Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 51 |
Male |
32 |
178 |
75 |
Master's |
50000 |
Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 52 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
Unemployed |
6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 53 |
Male |
NA |
182 |
80 |
PhD |
70000 |
Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 54 |
Female |
29 |
NA |
65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 55 |
Other |
30 |
165 |
NA |
High School |
32000 |
Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
NA |
Rural |
| 56 |
Male |
34 |
190 |
90 |
Master's |
60000 |
Married |
Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 57 |
Female |
27 |
158 |
NA |
Bachelor's |
42000 |
Single |
Unemployed |
NA |
A |
Art |
Green |
Swimming |
6.5 |
City |
| 58 |
Male |
28 |
178 |
78 |
High School |
38000 |
Married |
Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 59 |
Other |
NA |
165 |
56 |
PhD |
55000 |
Single |
Unemployed |
7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 60 |
Male |
28 |
178 |
78 |
High School |
38000 |
Married |
Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 951 |
Female |
| 160 |
55 |
High School |
39000 |
Married |
Employed |
6.1 |
A |
Art |
Blue |
Swimming |
7 |
City |
| 952 |
Male |
30 |
180 |
75 |
Master's |
| Single |
Employed |
7.5 |
C |
Music |
Blue |
Reading |
8 |
City |
| 953 |
Male |
32 |
178 |
75 |
Master's |
| Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 954 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
| 6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 955 |
Male |
| 182 |
80 |
PhD |
| Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 956 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 957 |
Other |
30 |
165 |
| High School |
| Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 958 |
Male |
34 |
190 |
90 |
Master's |
60000 |
| Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 959 |
Female |
27 |
158 |
| Bachelor's |
42000 |
Single |
Unemployed |
| A |
Art |
Green |
Swimming |
6.5 |
City |
| 960 |
Male |
28 |
178 |
78 |
High School |
38000 |
| Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 961 |
Other |
| 165 |
56 |
PhD |
55000 |
Single |
| 7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 962 |
Female |
26 |
165 |
62 |
| 48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 963 |
Female |
29 |
155 |
54 |
Master's |
55000 |
Married |
Employed |
7.3 |
B |
Music |
Blue |
Swimming |
8.2 |
City |
| 964 |
Male |
31 |
180 |
| Bachelor's |
50000 |
Married |
Employed |
6.5 |
A |
Art |
Green |
Reading |
8 |
Rural |
| 965 |
Male |
32 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 966 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 967 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 968 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 969 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 970 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 971 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 972 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 973 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 974 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 975 |
Other |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Green |
Reading |
7 |
City |
| 976 |
Female |
28 |
165 |
60 |
High School |
42000 |
Married |
Unemployed |
5.5 |
A |
Sports |
Red |
Traveling |
8 |
Rural |
| 977 |
Male |
30 |
180 |
75 |
Master's |
60000 |
Married |
Employed |
7.5 |
C |
Music |
Blue |
Reading |
8 |
City |
| 978 |
Male |
32 |
178 |
75 |
Master's |
| Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 979 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
| 6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 980 |
Male |
| 182 |
80 |
PhD |
| Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 981 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 982 |
Other |
30 |
165 |
| High School |
| Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 983 |
Male |
34 |
190 |
90 |
Master's |
60000 |
| Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 984 |
Female |
27 |
158 |
| Bachelor's |
42000 |
Single |
Unemployed |
| A |
Art |
Green |
Swimming |
6.5 |
City |
| 985 |
Male |
28 |
178 |
78 |
High School |
38000 |
| Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 986 |
Other |
| 165 |
56 |
PhD |
55000 |
Single |
| 7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 987 |
Female |
26 |
165 |
62 |
| 48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 988 |
Female |
29 |
155 |
54 |
Master's |
55000 |
Married |
Employed |
7.3 |
B |
Music |
Blue |
Swimming |
8.2 |
City |
| 989 |
Male |
31 |
180 |
| Bachelor's |
50000 |
Married |
Employed |
6.5 |
A |
Art |
Green |
Reading |
8 |
Rural |
| 990 |
Male |
32 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 991 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 992 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 993 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 994 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 995 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 996 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 997 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 998 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 999 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1000 |
Other |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Green |
Reading |
7 |
City |
| 1001 |
Female |
28 |
165 |
60 |
High School |
42000 |
Married |
Unemployed |
5.5 |
A |
Sports |
Red |
Traveling |
8 |
Rural |
| 1002 |
Male |
30 |
180 |
75 |
Master's |
60000 |
Married |
Employed |
7.5 |
C |
Music |
Blue |
Reading |
8 |
City |
| 1003 |
Male |
32 |
178 |
75 |
Master's |
| Married |
Employed |
7.5 |
A |
Sports |
Blue |
Reading |
8 |
City |
| 1004 |
Female |
25 |
165 |
58 |
Bachelor's |
45000 |
Single |
| 6.2 |
B |
Music |
Green |
Traveling |
7 |
Rural |
| 1005 |
Male |
| 182 |
80 |
PhD |
| Married |
Employed |
8.9 |
C |
Art |
Red |
Photography |
9 |
Suburb |
| 1006 |
Female |
29 |
| 65 |
Bachelor's |
52000 |
Single |
Employed |
7.1 |
B |
Music |
Blue |
Swimming |
6 |
City |
| 1007 |
Other |
30 |
165 |
| High School |
| Single |
Unemployed |
5.5 |
A |
Sports |
Green |
Reading |
| Rural |
| 1008 |
Male |
34 |
190 |
90 |
Master's |
60000 |
| Employed |
8.2 |
B |
Music |
Blue |
Traveling |
7.5 |
Suburb |
| 1009 |
Female |
27 |
158 |
| Bachelor's |
42000 |
Single |
Unemployed |
| A |
Art |
Green |
Swimming |
6.5 |
City |
| 1010 |
Male |
28 |
178 |
78 |
High School |
38000 |
| Employed |
6.7 |
A |
Sports |
Red |
Photography |
8 |
Rural |
| 1011 |
Other |
| 165 |
56 |
PhD |
55000 |
Single |
| 7.8 |
B |
Music |
Blue |
Traveling |
8.5 |
Suburb |
| 1012 |
Female |
26 |
165 |
62 |
| 48000 |
Single |
Employed |
5.9 |
A |
Art |
Green |
Reading |
7 |
City |
| 1013 |
Female |
29 |
155 |
54 |
Master's |
55000 |
Married |
Employed |
7.3 |
B |
Music |
Blue |
Swimming |
8.2 |
City |
| 1014 |
Male |
31 |
180 |
| Bachelor's |
50000 |
Married |
Employed |
6.5 |
A |
Art |
Green |
Reading |
8 |
Rural |
| 1015 |
Male |
32 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1016 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1017 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1018 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1019 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1020 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1021 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1022 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1023 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1024 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1025 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1026 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1027 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1028 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1029 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1030 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1031 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1032 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1033 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1034 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1035 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1036 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1037 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1038 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1039 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1040 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1041 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1042 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1043 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1044 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1045 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1046 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1047 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1048 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1049 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1050 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1051 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1052 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1053 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1054 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1055 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1056 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1057 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1058 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1059 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1060 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1061 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1062 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1063 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1064 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1065 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1066 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1067 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1068 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1069 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1070 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1071 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1072 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1073 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1074 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1075 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
|
| 1076 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1077 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1078 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1079 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1080 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
| 7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1081 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
| Blue |
Reading |
7 |
City |
| 1082 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1083 |
Male |
30 |
182 |
80 |
| 65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1084 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1085 |
Male |
29 |
175 |
70 |
PhD |
60000 |
| Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1086 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1087 |
Other |
28 |
185 |
85 |
High School |
| Single |
| 5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1088 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1089 |
Female |
26 |
160 |
55 |
| 48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1090 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1091 |
Female |
27 |
168 |
65 |
Bachelor's |
| Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1092 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
| A |
Sports |
Green |
Photography |
6 |
Rural |
| 1093 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
| Red |
Traveling |
8.5 |
City |
| 1094 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1095 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1096 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
| 7 |
City |
| 1097 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1098 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
| City |
| 1099 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1100 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
| Traveling |
9 |
Suburb |
| 1101 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1102 |
Other |
28 |
185 |
85 |
| High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1103 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1104 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1105 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1106 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
Single |
Employed |
6.2 |
| Art |
Blue |
Reading |
7 |
City |
| 1107 |
Other |
28 |
185 |
85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1108 |
Male |
30 |
182 |
80 |
Master's |
| Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1109 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
| 1110 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1111 |
Female |
27 |
168 |
65 |
Bachelor's |
45000 |
| Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1112 |
Male |
29 |
175 |
70 |
PhD |
60000 |
Married |
Employed |
7.8 |
C |
Sports |
Red |
Traveling |
9 |
Suburb |
| 1113 |
Female |
27 |
168 |
65 |
| 45000 |
Single |
Employed |
6.2 |
B |
Art |
Blue |
Reading |
7 |
City |
| 1114 |
Other |
28 |
| 85 |
High School |
| Single |
Unemployed |
5.7 |
A |
Sports |
Green |
Photography |
6 |
Rural |
| 1116 |
Male |
30 |
182 |
80 |
Master's |
65000 |
Married |
Employed |
| C |
Music |
Red |
Traveling |
8.5 |
City |
| 1117 |
Female |
26 |
160 |
55 |
Bachelor's |
48000 |
Single |
Employed |
6.1 |
B |
Art |
Blue |
Swimming |
7 |
Rural |
|
|
|
|
|
|
|
|