generated from mwc/project_argument
I am really glad I was able to get through the lab. I did have some difficulty with creating the differnt visuals, as I didnt fully make them in the pokemon lab, so I had to use refrences to help me out. I was able to edit accoridngly to fit my project. I wish I was a bit better at coding so I coudlve takeled even deeper reasearch questions. I have now learned how to fully work with a data set, and create visuals to compare the data.
24 KiB
24 KiB
| 1 | Person ID | Gender | Age | Occupation | Sleep Duration | Quality of Sleep | Physical Activity Level | Stress Level | BMI Category | Blood Pressure | Heart Rate | Daily Steps | Sleep Disorder |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 1 | Male | 27 | Software Engineer | 6.1 | 6 | 42 | 6 | Overweight | 126/83 | 77 | 4200 | None |
| 3 | 2 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | None |
| 4 | 3 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | None |
| 5 | 4 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
| 6 | 5 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
| 7 | 6 | Male | 28 | Software Engineer | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Insomnia |
| 8 | 7 | Male | 29 | Teacher | 6.3 | 6 | 40 | 7 | Obese | 140/90 | 82 | 3500 | Insomnia |
| 9 | 8 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 10 | 9 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 11 | 10 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 12 | 11 | Male | 29 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | None |
| 13 | 12 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 14 | 13 | Male | 29 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | None |
| 15 | 14 | Male | 29 | Doctor | 6 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | None |
| 16 | 15 | Male | 29 | Doctor | 6 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | None |
| 17 | 16 | Male | 29 | Doctor | 6 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | None |
| 18 | 17 | Female | 29 | Nurse | 6.5 | 5 | 40 | 7 | Normal Weight | 132/87 | 80 | 4000 | Sleep Apnea |
| 19 | 18 | Male | 29 | Doctor | 6 | 6 | 30 | 8 | Normal | 120/80 | 70 | 8000 | Sleep Apnea |
| 20 | 19 | Female | 29 | Nurse | 6.5 | 5 | 40 | 7 | Normal Weight | 132/87 | 80 | 4000 | Insomnia |
| 21 | 20 | Male | 30 | Doctor | 7.6 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 22 | 21 | Male | 30 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 23 | 22 | Male | 30 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 24 | 23 | Male | 30 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 25 | 24 | Male | 30 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 26 | 25 | Male | 30 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 27 | 26 | Male | 30 | Doctor | 7.9 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 28 | 27 | Male | 30 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 29 | 28 | Male | 30 | Doctor | 7.9 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 30 | 29 | Male | 30 | Doctor | 7.9 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 31 | 30 | Male | 30 | Doctor | 7.9 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 32 | 31 | Female | 30 | Nurse | 6.4 | 5 | 35 | 7 | Normal Weight | 130/86 | 78 | 4100 | Sleep Apnea |
| 33 | 32 | Female | 30 | Nurse | 6.4 | 5 | 35 | 7 | Normal Weight | 130/86 | 78 | 4100 | Insomnia |
| 34 | 33 | Female | 31 | Nurse | 7.9 | 8 | 75 | 4 | Normal Weight | 117/76 | 69 | 6800 | None |
| 35 | 34 | Male | 31 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 36 | 35 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 37 | 36 | Male | 31 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 38 | 37 | Male | 31 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 39 | 38 | Male | 31 | Doctor | 7.6 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 40 | 39 | Male | 31 | Doctor | 7.6 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 41 | 40 | Male | 31 | Doctor | 7.6 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 42 | 41 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 43 | 42 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 44 | 43 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 45 | 44 | Male | 31 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 46 | 45 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 47 | 46 | Male | 31 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 48 | 47 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 49 | 48 | Male | 31 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 50 | 49 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 51 | 50 | Male | 31 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | Sleep Apnea |
| 52 | 51 | Male | 32 | Engineer | 7.5 | 8 | 45 | 3 | Normal | 120/80 | 70 | 8000 | None |
| 53 | 52 | Male | 32 | Engineer | 7.5 | 8 | 45 | 3 | Normal | 120/80 | 70 | 8000 | None |
| 54 | 53 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 55 | 54 | Male | 32 | Doctor | 7.6 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 56 | 55 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 57 | 56 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 58 | 57 | Male | 32 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 59 | 58 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 60 | 59 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 61 | 60 | Male | 32 | Doctor | 7.7 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | None |
| 62 | 61 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 63 | 62 | Male | 32 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 64 | 63 | Male | 32 | Doctor | 6.2 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 65 | 64 | Male | 32 | Doctor | 6.2 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 66 | 65 | Male | 32 | Doctor | 6.2 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 67 | 66 | Male | 32 | Doctor | 6.2 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 68 | 67 | Male | 32 | Accountant | 7.2 | 8 | 50 | 6 | Normal Weight | 118/76 | 68 | 7000 | None |
| 69 | 68 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | Insomnia |
| 70 | 69 | Female | 33 | Scientist | 6.2 | 6 | 50 | 6 | Overweight | 128/85 | 76 | 5500 | None |
| 71 | 70 | Female | 33 | Scientist | 6.2 | 6 | 50 | 6 | Overweight | 128/85 | 76 | 5500 | None |
| 72 | 71 | Male | 33 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 73 | 72 | Male | 33 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 74 | 73 | Male | 33 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 75 | 74 | Male | 33 | Doctor | 6.1 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 76 | 75 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 77 | 76 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 78 | 77 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 79 | 78 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 80 | 79 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 81 | 80 | Male | 33 | Doctor | 6 | 6 | 30 | 8 | Normal | 125/80 | 72 | 5000 | None |
| 82 | 81 | Female | 34 | Scientist | 5.8 | 4 | 32 | 8 | Overweight | 131/86 | 81 | 5200 | Sleep Apnea |
| 83 | 82 | Female | 34 | Scientist | 5.8 | 4 | 32 | 8 | Overweight | 131/86 | 81 | 5200 | Sleep Apnea |
| 84 | 83 | Male | 35 | Teacher | 6.7 | 7 | 40 | 5 | Overweight | 128/84 | 70 | 5600 | None |
| 85 | 84 | Male | 35 | Teacher | 6.7 | 7 | 40 | 5 | Overweight | 128/84 | 70 | 5600 | None |
| 86 | 85 | Male | 35 | Software Engineer | 7.5 | 8 | 60 | 5 | Normal Weight | 120/80 | 70 | 8000 | None |
| 87 | 86 | Female | 35 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 88 | 87 | Male | 35 | Engineer | 7.2 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 89 | 88 | Male | 35 | Engineer | 7.2 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 90 | 89 | Male | 35 | Engineer | 7.3 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 91 | 90 | Male | 35 | Engineer | 7.3 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 92 | 91 | Male | 35 | Engineer | 7.3 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 93 | 92 | Male | 35 | Engineer | 7.3 | 8 | 60 | 4 | Normal | 125/80 | 65 | 5000 | None |
| 94 | 93 | Male | 35 | Software Engineer | 7.5 | 8 | 60 | 5 | Normal Weight | 120/80 | 70 | 8000 | None |
| 95 | 94 | Male | 35 | Lawyer | 7.4 | 7 | 60 | 5 | Obese | 135/88 | 84 | 3300 | Sleep Apnea |
| 96 | 95 | Female | 36 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | Insomnia |
| 97 | 96 | Female | 36 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 98 | 97 | Female | 36 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 99 | 98 | Female | 36 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 100 | 99 | Female | 36 | Teacher | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 101 | 100 | Female | 36 | Teacher | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 102 | 101 | Female | 36 | Teacher | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 103 | 102 | Female | 36 | Teacher | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 104 | 103 | Female | 36 | Teacher | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 105 | 104 | Male | 36 | Teacher | 6.6 | 5 | 35 | 7 | Overweight | 129/84 | 74 | 4800 | Sleep Apnea |
| 106 | 105 | Female | 36 | Teacher | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | Sleep Apnea |
| 107 | 106 | Male | 36 | Teacher | 6.6 | 5 | 35 | 7 | Overweight | 129/84 | 74 | 4800 | Insomnia |
| 108 | 107 | Female | 37 | Nurse | 6.1 | 6 | 42 | 6 | Overweight | 126/83 | 77 | 4200 | None |
| 109 | 108 | Male | 37 | Engineer | 7.8 | 8 | 70 | 4 | Normal Weight | 120/80 | 68 | 7000 | None |
| 110 | 109 | Male | 37 | Engineer | 7.8 | 8 | 70 | 4 | Normal Weight | 120/80 | 68 | 7000 | None |
| 111 | 110 | Male | 37 | Lawyer | 7.4 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 112 | 111 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 113 | 112 | Male | 37 | Lawyer | 7.4 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 114 | 113 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 115 | 114 | Male | 37 | Lawyer | 7.4 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 116 | 115 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 117 | 116 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 118 | 117 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 119 | 118 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 120 | 119 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 121 | 120 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 122 | 121 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 123 | 122 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 124 | 123 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 125 | 124 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 126 | 125 | Female | 37 | Accountant | 7.2 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 127 | 126 | Female | 37 | Nurse | 7.5 | 8 | 60 | 4 | Normal Weight | 120/80 | 70 | 8000 | None |
| 128 | 127 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 129 | 128 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 130 | 129 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 131 | 130 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 132 | 131 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 133 | 132 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 134 | 133 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 135 | 134 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 136 | 135 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 137 | 136 | Male | 38 | Lawyer | 7.3 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 138 | 137 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 139 | 138 | Male | 38 | Lawyer | 7.1 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 140 | 139 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 141 | 140 | Male | 38 | Lawyer | 7.1 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 142 | 141 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 143 | 142 | Male | 38 | Lawyer | 7.1 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 144 | 143 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 145 | 144 | Female | 38 | Accountant | 7.1 | 8 | 60 | 4 | Normal | 115/75 | 68 | 7000 | None |
| 146 | 145 | Male | 38 | Lawyer | 7.1 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | Sleep Apnea |
| 147 | 146 | Female | 38 | Lawyer | 7.4 | 7 | 60 | 5 | Obese | 135/88 | 84 | 3300 | Sleep Apnea |
| 148 | 147 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | Insomnia |
| 149 | 148 | Male | 39 | Engineer | 6.5 | 5 | 40 | 7 | Overweight | 132/87 | 80 | 4000 | Insomnia |
| 150 | 149 | Female | 39 | Lawyer | 6.9 | 7 | 50 | 6 | Normal Weight | 128/85 | 75 | 5500 | None |
| 151 | 150 | Female | 39 | Accountant | 8 | 9 | 80 | 3 | Normal Weight | 115/78 | 67 | 7500 | None |
| 152 | 151 | Female | 39 | Accountant | 8 | 9 | 80 | 3 | Normal Weight | 115/78 | 67 | 7500 | None |
| 153 | 152 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 154 | 153 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 155 | 154 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 156 | 155 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 157 | 156 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 158 | 157 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 159 | 158 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 160 | 159 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 161 | 160 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 162 | 161 | Male | 39 | Lawyer | 7.2 | 8 | 60 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 163 | 162 | Female | 40 | Accountant | 7.2 | 8 | 55 | 6 | Normal Weight | 119/77 | 73 | 7300 | None |
| 164 | 163 | Female | 40 | Accountant | 7.2 | 8 | 55 | 6 | Normal Weight | 119/77 | 73 | 7300 | None |
| 165 | 164 | Male | 40 | Lawyer | 7.9 | 8 | 90 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 166 | 165 | Male | 40 | Lawyer | 7.9 | 8 | 90 | 5 | Normal | 130/85 | 68 | 8000 | None |
| 167 | 166 | Male | 41 | Lawyer | 7.6 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | Insomnia |
| 168 | 167 | Male | 41 | Engineer | 7.3 | 8 | 70 | 6 | Normal Weight | 121/79 | 72 | 6200 | None |
| 169 | 168 | Male | 41 | Lawyer | 7.1 | 7 | 55 | 6 | Overweight | 125/82 | 72 | 6000 | None |
| 170 | 169 | Male | 41 | Lawyer | 7.1 | 7 | 55 | 6 | Overweight | 125/82 | 72 | 6000 | None |
| 171 | 170 | Male | 41 | Lawyer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 172 | 171 | Male | 41 | Lawyer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 173 | 172 | Male | 41 | Lawyer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 174 | 173 | Male | 41 | Lawyer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 175 | 174 | Male | 41 | Lawyer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 176 | 175 | Male | 41 | Lawyer | 7.6 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 177 | 176 | Male | 41 | Lawyer | 7.6 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 178 | 177 | Male | 41 | Lawyer | 7.6 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 179 | 178 | Male | 42 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 180 | 179 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 181 | 180 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 182 | 181 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 183 | 182 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 184 | 183 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 185 | 184 | Male | 42 | Lawyer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 186 | 185 | Female | 42 | Teacher | 6.8 | 6 | 45 | 7 | Overweight | 130/85 | 78 | 5000 | Sleep Apnea |
| 187 | 186 | Female | 42 | Teacher | 6.8 | 6 | 45 | 7 | Overweight | 130/85 | 78 | 5000 | Sleep Apnea |
| 188 | 187 | Female | 43 | Teacher | 6.7 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 189 | 188 | Male | 43 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 190 | 189 | Female | 43 | Teacher | 6.7 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 191 | 190 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 192 | 191 | Female | 43 | Teacher | 6.7 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 193 | 192 | Male | 43 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 194 | 193 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 195 | 194 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 196 | 195 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 197 | 196 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 198 | 197 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 199 | 198 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 200 | 199 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 201 | 200 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 202 | 201 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 203 | 202 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | Insomnia |
| 204 | 203 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | Insomnia |
| 205 | 204 | Male | 43 | Engineer | 6.9 | 6 | 47 | 7 | Normal Weight | 117/76 | 69 | 6800 | None |
| 206 | 205 | Male | 43 | Engineer | 7.6 | 8 | 75 | 4 | Overweight | 122/80 | 68 | 6800 | None |
| 207 | 206 | Male | 43 | Engineer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 208 | 207 | Male | 43 | Engineer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 209 | 208 | Male | 43 | Engineer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 210 | 209 | Male | 43 | Engineer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 211 | 210 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 212 | 211 | Male | 43 | Engineer | 7.7 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 213 | 212 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 214 | 213 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 215 | 214 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 216 | 215 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 217 | 216 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 218 | 217 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 219 | 218 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | None |
| 220 | 219 | Male | 43 | Engineer | 7.8 | 8 | 90 | 5 | Normal | 130/85 | 70 | 8000 | Sleep Apnea |
| 221 | 220 | Male | 43 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Sleep Apnea |
| 222 | 221 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 223 | 222 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 224 | 223 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 225 | 224 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 226 | 225 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 227 | 226 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 228 | 227 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 229 | 228 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 230 | 229 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 231 | 230 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 232 | 231 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 233 | 232 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 234 | 233 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 235 | 234 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 236 | 235 | Female | 44 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 237 | 236 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 238 | 237 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 239 | 238 | Female | 44 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 240 | 239 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 241 | 240 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 242 | 241 | Female | 44 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 243 | 242 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 244 | 243 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 245 | 244 | Female | 44 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 246 | 245 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 247 | 246 | Female | 44 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 248 | 247 | Male | 44 | Salesperson | 6.3 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 249 | 248 | Male | 44 | Engineer | 6.8 | 7 | 45 | 7 | Overweight | 130/85 | 78 | 5000 | Insomnia |
| 250 | 249 | Male | 44 | Salesperson | 6.4 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | None |
| 251 | 250 | Male | 44 | Salesperson | 6.5 | 6 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | None |
| 252 | 251 | Female | 45 | Teacher | 6.8 | 7 | 30 | 6 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 253 | 252 | Female | 45 | Teacher | 6.8 | 7 | 30 | 6 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 254 | 253 | Female | 45 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 255 | 254 | Female | 45 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 256 | 255 | Female | 45 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 257 | 256 | Female | 45 | Teacher | 6.5 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 258 | 257 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 259 | 258 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 260 | 259 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 261 | 260 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 262 | 261 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | Insomnia |
| 263 | 262 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | None |
| 264 | 263 | Female | 45 | Teacher | 6.6 | 7 | 45 | 4 | Overweight | 135/90 | 65 | 6000 | None |
| 265 | 264 | Female | 45 | Manager | 6.9 | 7 | 55 | 5 | Overweight | 125/82 | 75 | 5500 | None |
| 266 | 265 | Male | 48 | Doctor | 7.3 | 7 | 65 | 5 | Obese | 142/92 | 83 | 3500 | Insomnia |
| 267 | 266 | Female | 48 | Nurse | 5.9 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 268 | 267 | Male | 48 | Doctor | 7.3 | 7 | 65 | 5 | Obese | 142/92 | 83 | 3500 | Insomnia |
| 269 | 268 | Female | 49 | Nurse | 6.2 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | None |
| 270 | 269 | Female | 49 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 271 | 270 | Female | 49 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 272 | 271 | Female | 49 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 273 | 272 | Female | 49 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 274 | 273 | Female | 49 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 275 | 274 | Female | 49 | Nurse | 6.2 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 276 | 275 | Female | 49 | Nurse | 6.2 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 277 | 276 | Female | 49 | Nurse | 6.2 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 278 | 277 | Male | 49 | Doctor | 8.1 | 9 | 85 | 3 | Obese | 139/91 | 86 | 3700 | Sleep Apnea |
| 279 | 278 | Male | 49 | Doctor | 8.1 | 9 | 85 | 3 | Obese | 139/91 | 86 | 3700 | Sleep Apnea |
| 280 | 279 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Insomnia |
| 281 | 280 | Female | 50 | Engineer | 8.3 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 282 | 281 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | None |
| 283 | 282 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 284 | 283 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 285 | 284 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 286 | 285 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 287 | 286 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 288 | 287 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 289 | 288 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 290 | 289 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 291 | 290 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 292 | 291 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 293 | 292 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 294 | 293 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 295 | 294 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 296 | 295 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 297 | 296 | Female | 50 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 298 | 297 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 299 | 298 | Female | 50 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 300 | 299 | Female | 51 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 301 | 300 | Female | 51 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 302 | 301 | Female | 51 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 303 | 302 | Female | 51 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 304 | 303 | Female | 51 | Nurse | 7.1 | 7 | 55 | 6 | Normal Weight | 125/82 | 72 | 6000 | None |
| 305 | 304 | Female | 51 | Nurse | 6 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 306 | 305 | Female | 51 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 307 | 306 | Female | 51 | Nurse | 6.1 | 6 | 90 | 8 | Overweight | 140/95 | 75 | 10000 | Sleep Apnea |
| 308 | 307 | Female | 52 | Accountant | 6.5 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 309 | 308 | Female | 52 | Accountant | 6.5 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 310 | 309 | Female | 52 | Accountant | 6.6 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 311 | 310 | Female | 52 | Accountant | 6.6 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 312 | 311 | Female | 52 | Accountant | 6.6 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 313 | 312 | Female | 52 | Accountant | 6.6 | 7 | 45 | 7 | Overweight | 130/85 | 72 | 6000 | Insomnia |
| 314 | 313 | Female | 52 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 315 | 314 | Female | 52 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 316 | 315 | Female | 52 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 317 | 316 | Female | 53 | Engineer | 8.3 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | Insomnia |
| 318 | 317 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 319 | 318 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 320 | 319 | Female | 53 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 321 | 320 | Female | 53 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 322 | 321 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 323 | 322 | Female | 53 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 324 | 323 | Female | 53 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 325 | 324 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 326 | 325 | Female | 53 | Engineer | 8.3 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 327 | 326 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 328 | 327 | Female | 53 | Engineer | 8.3 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 329 | 328 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 330 | 329 | Female | 53 | Engineer | 8.3 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 331 | 330 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 332 | 331 | Female | 53 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 333 | 332 | Female | 53 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 334 | 333 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 335 | 334 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 336 | 335 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 337 | 336 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 338 | 337 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 339 | 338 | Female | 54 | Engineer | 8.4 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 340 | 339 | Female | 54 | Engineer | 8.5 | 9 | 30 | 3 | Normal | 125/80 | 65 | 5000 | None |
| 341 | 340 | Female | 55 | Nurse | 8.1 | 9 | 75 | 4 | Overweight | 140/95 | 72 | 5000 | Sleep Apnea |
| 342 | 341 | Female | 55 | Nurse | 8.1 | 9 | 75 | 4 | Overweight | 140/95 | 72 | 5000 | Sleep Apnea |
| 343 | 342 | Female | 56 | Doctor | 8.2 | 9 | 90 | 3 | Normal Weight | 118/75 | 65 | 10000 | None |
| 344 | 343 | Female | 56 | Doctor | 8.2 | 9 | 90 | 3 | Normal Weight | 118/75 | 65 | 10000 | None |
| 345 | 344 | Female | 57 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | None |
| 346 | 345 | Female | 57 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 347 | 346 | Female | 57 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 348 | 347 | Female | 57 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 349 | 348 | Female | 57 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 350 | 349 | Female | 57 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 351 | 350 | Female | 57 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 352 | 351 | Female | 57 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 353 | 352 | Female | 57 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 354 | 353 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 355 | 354 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 356 | 355 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 357 | 356 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 358 | 357 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 359 | 358 | Female | 58 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 360 | 359 | Female | 59 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | None |
| 361 | 360 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | None |
| 362 | 361 | Female | 59 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 363 | 362 | Female | 59 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 364 | 363 | Female | 59 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 365 | 364 | Female | 59 | Nurse | 8.2 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 366 | 365 | Female | 59 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 367 | 366 | Female | 59 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 368 | 367 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 369 | 368 | Female | 59 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 370 | 369 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 371 | 370 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 372 | 371 | Female | 59 | Nurse | 8 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 373 | 372 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 374 | 373 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 375 | 374 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |