ID int64 | Age int64 | Gender string | Country string | Coffee_Intake float64 | Caffeine_mg float64 | Sleep_Hours float64 | Sleep_Quality string | BMI float64 | Heart_Rate int64 | Stress_Level string | Physical_Activity_Hours float64 | Health_Issues string | Occupation string | Smoking int64 | Alcohol_Consumption int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
701 | 28 | Female | Netherlands | 3.7 | 348.5 | 6.4 | Good | 23.6 | 80 | Low | 5.5 | null | 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 | 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 | Mild | Student | 0 | 1 |
705 | 18 | Male | South Korea | 3.6 | 342.5 | 7.9 | Good | 22.4 | 70 | Low | 10.6 | null | Other | 0 | 0 |
706 | 42 | Female | Finland | 1.5 | 145 | 5.6 | Fair | 27.3 | 79 | Medium | 11 | Mild | Service | 0 | 0 |
707 | 19 | Male | Norway | 1.6 | 147.5 | 7.4 | Good | 21.3 | 84 | Low | 6.4 | null | 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 | null | 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 | 1.5 | 8.3 | Excellent | 21.6 | 52 | Low | 11.5 | null | Other | 0 | 1 |
712 | 33 | Female | Belgium | 1.3 | 120.4 | 6.5 | Good | 24.9 | 70 | Low | 8 | null | Student | 0 | 0 |
713 | 28 | Male | Canada | 0 | 0 | 7.3 | Good | 20.3 | 56 | Low | 11.4 | null | Other | 1 | 0 |
714 | 39 | Male | France | 2.9 | 278 | 6 | Good | 21 | 81 | Low | 11.3 | null | Office | 0 | 0 |
715 | 34 | Female | China | 2.6 | 251.6 | 7.7 | Good | 29.8 | 78 | Low | 2.5 | null | Office | 0 | 0 |
716 | 48 | Male | UK | 3.6 | 343.1 | 6.4 | Good | 15.7 | 90 | Low | 8 | null | Healthcare | 0 | 1 |
717 | 36 | Male | Sweden | 1.1 | 104.6 | 8.5 | Excellent | 21 | 77 | Low | 7.1 | null | Healthcare | 0 | 1 |
718 | 36 | Male | Italy | 3.2 | 308.6 | 5.4 | Fair | 17 | 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 | null | Healthcare | 1 | 0 |
721 | 38 | Female | South Korea | 0 | 0 | 7.5 | Good | 30 | 61 | Low | 7.8 | Mild | Healthcare | 0 | 0 |
722 | 18 | Male | Brazil | 2.1 | 203.7 | 8.9 | Excellent | 19 | 73 | Low | 10.3 | null | Healthcare | 0 | 0 |
723 | 18 | Male | Mexico | 1.9 | 180.6 | 6.4 | Good | 26.9 | 63 | Low | 6.3 | null | 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 | Good | 25.1 | 71 | Low | 12.2 | null | Other | 0 | 0 |
727 | 35 | Male | Sweden | 0 | 0 | 7.4 | Good | 16.9 | 64 | Low | 6.2 | null | 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 | null | Healthcare | 0 | 0 |
731 | 37 | Male | Germany | 5.8 | 554.4 | 6.6 | Good | 20.7 | 77 | Low | 14.3 | null | Healthcare | 0 | 1 |
732 | 23 | Male | Switzerland | 4.3 | 407.2 | 6 | 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 | null | Healthcare | 0 | 1 |
734 | 18 | Female | Netherlands | 0.6 | 60.2 | 5.1 | Fair | 21.9 | 68 | Medium | 13 | Mild | Other | 0 | 0 |
735 | 47 | Male | India | 1.4 | 137 | 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 | 5.8 | Fair | 29.1 | 75 | Medium | 13.8 | Mild | Service | 0 | 0 |
738 | 46 | Male | South Korea | 0 | 0 | 8 | Good | 23 | 74 | Low | 3.1 | null | 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 | 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 | null | 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 | null | Service | 0 | 0 |
745 | 41 | Male | Spain | 4.7 | 448.5 | 6.7 | Good | 24.8 | 55 | Low | 6.1 | null | Healthcare | 0 | 0 |
746 | 26 | Male | UK | 3.6 | 346.4 | 8.6 | Excellent | 28.8 | 72 | Low | 7.6 | null | Healthcare | 0 | 0 |
747 | 37 | Female | Japan | 3.7 | 350.2 | 6.4 | Good | 27 | 56 | Low | 7.5 | null | Healthcare | 0 | 0 |
748 | 25 | Male | India | 3.1 | 292.7 | 7.6 | Good | 27.9 | 59 | Low | 14.9 | null | Student | 0 | 0 |
749 | 27 | Male | USA | 1.9 | 175.8 | 6.2 | Good | 20.7 | 85 | Low | 12.8 | null | Healthcare | 0 | 0 |
750 | 18 | Female | France | 3 | 281.4 | 7.1 | Good | 27.1 | 61 | Low | 2.2 | null | Healthcare | 1 | 0 |
751 | 23 | Female | Sweden | 2.8 | 267.3 | 7.4 | Good | 25.7 | 66 | Low | 14.4 | null | 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 | 285 | 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 | null | Other | 0 | 0 |
755 | 23 | Female | Netherlands | 4.2 | 399.9 | 7.4 | Good | 17 | 54 | Low | 4.5 | null | 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 | 73 | High | 12.4 | Mild | Service | 0 | 0 |
758 | 37 | Female | China | 3.3 | 310.9 | 6 | Good | 22.9 | 64 | Low | 7.3 | null | Other | 0 | 0 |
759 | 24 | Male | Mexico | 0.9 | 87.9 | 7.4 | Good | 26.3 | 63 | Low | 1.5 | null | Service | 0 | 0 |
760 | 43 | Female | Germany | 4.8 | 460.1 | 8.1 | Excellent | 20.7 | 50 | Low | 6.7 | null | Office | 1 | 0 |
761 | 28 | Male | Switzerland | 2.4 | 231.7 | 6.5 | Good | 25.9 | 64 | Low | 5.1 | null | Healthcare | 0 | 0 |
762 | 36 | Male | Netherlands | 1 | 95.9 | 7.3 | Good | 27 | 91 | Low | 10.4 | null | 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 | 98.6 | 6.2 | Good | 24.1 | 78 | Low | 14 | null | 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 | null | Healthcare | 0 | 0 |
768 | 56 | Female | Germany | 4.5 | 432 | 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 | 61 | Low | 10.2 | null | Other | 0 | 0 |
772 | 28 | Male | Italy | 2.9 | 277.9 | 5.4 | Fair | 28.9 | 72 | Medium | 3 | Mild | Healthcare | 0 | 1 |
773 | 42 | Male | UK | 2.5 | 232.8 | 7.4 | Good | 26.7 | 70 | Low | 9.6 | null | Office | 0 | 1 |
774 | 46 | Female | Switzerland | 2.4 | 225.6 | 6.5 | Good | 25 | 74 | Low | 5.3 | null | Other | 1 | 1 |
775 | 42 | Female | Japan | 3.6 | 338.3 | 6.4 | Good | 25.6 | 50 | Low | 1.4 | null | Other | 1 | 1 |
776 | 18 | Female | India | 1.1 | 103.3 | 8.9 | Excellent | 29.7 | 70 | Low | 9.4 | null | Service | 0 | 1 |
777 | 26 | Male | Switzerland | 4.4 | 418 | 3.8 | Poor | 19.6 | 77 | High | 9.7 | Mild | Other | 0 | 0 |
778 | 32 | Female | India | 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 | null | Other | 0 | 0 |
780 | 42 | Female | China | 4.5 | 431.1 | 7.4 | Good | 26.7 | 62 | Low | 13.7 | null | Student | 1 | 0 |
781 | 37 | Female | Sweden | 4.3 | 409.5 | 6.1 | Good | 23.1 | 64 | Low | 10.2 | null | Student | 0 | 0 |
782 | 18 | Male | Mexico | 2.7 | 260.1 | 8.8 | Excellent | 17.6 | 77 | Low | 8.3 | null | Other | 0 | 0 |
783 | 39 | Female | South Korea | 1.3 | 122.1 | 8 | Excellent | 21.5 | 79 | Low | 7.2 | null | Office | 1 | 0 |
784 | 42 | Female | Finland | 2.3 | 218.5 | 6 | Good | 24.6 | 84 | Low | 12.6 | null | 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 | null | Healthcare | 0 | 0 |
787 | 45 | Male | Germany | 0 | 0 | 6 | Good | 20.2 | 81 | Low | 0.7 | null | Office | 0 | 0 |
788 | 40 | Female | Japan | 2.6 | 249.3 | 6.9 | Good | 29.7 | 74 | Low | 7.4 | null | Healthcare | 0 | 0 |
789 | 34 | Male | Finland | 1.6 | 152.2 | 8.6 | Excellent | 26 | 72 | Low | 9.7 | null | Healthcare | 1 | 0 |
790 | 18 | Male | Australia | 0.6 | 56.5 | 7.1 | Good | 25.8 | 85 | Low | 12.3 | null | Service | 0 | 0 |
791 | 40 | Other | Belgium | 3.2 | 306.3 | 6.5 | Good | 25.1 | 78 | Low | 4.7 | null | Service | 0 | 0 |
792 | 37 | Male | Belgium | 1 | 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 | null | Healthcare | 1 | 0 |
794 | 19 | Male | Netherlands | 4.5 | 428.6 | 4.1 | Poor | 15 | 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 | null | Healthcare | 0 | 1 |
796 | 47 | Female | Canada | 1.3 | 124.6 | 4.8 | Poor | 15 | 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 | 382.5 | 7.8 | Good | 24.2 | 74 | Low | 5.5 | null | Service | 1 | 0 |
799 | 35 | Female | Germany | 2.1 | 201.6 | 8.4 | Excellent | 25 | 81 | Low | 3.3 | null | Student | 0 | 0 |
800 | 35 | Female | USA | 4 | 376.9 | 6.5 | Good | 18.9 | 59 | Low | 2.2 | null | Office | 0 | 0 |
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