Datasets:

ADAMlam-16
/

coffee_consumption-EDA_project

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
1	40	Male	Germany	3.5	328.1	7.5	Good	24.9	78	Low	14.5	null	Other	0	0
2	33	Male	Germany	1	94.1	6.2	Good	20	67	Low	11	null	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	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	82	Low	8.8	null	Service	0	0
7	53	Male	France	2.7	252.1	7.8	Good	24.3	58	Low	1	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	7.1	Good	21.7	60	Low	2.2	null	Service	1	1
10	41	Female	Switzerland	4	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	null	Other	0	1
12	29	Male	Netherlands	4.1	385.2	6.5	Good	23.1	80	Low	8.9	null	Office	0	1
13	37	Female	Italy	4.7	441.9	6.9	Good	15.4	77	Low	5.2	null	Service	0	1
14	18	Female	Italy	1.4	133.4	6.6	Good	19.8	78	Low	13	null	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	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	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	null	Healthcare	1	1
19	24	Female	UK	4.3	409.5	7.8	Good	22.7	63	Low	14.4	null	Healthcare	0	1
20	18	Male	Germany	1.4	134.6	6.9	Good	18.8	70	Low	7.8	null	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	65	Low	5.5	null	Office	0	0
23	35	Female	Belgium	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	Poor	21.6	78	High	6.9	Mild	Student	0	0
26	36	Female	Mexico	0.4	34.7	6.1	Good	15	79	Low	3.4	null	Service	1	0
27	21	Female	Belgium	1.9	178	6	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	6.2	Good	18.1	50	Low	2	null	Other	0	1
30	31	Female	Australia	3.5	328.2	6.2	Good	21.6	67	Low	12.5	null	Office	0	1
31	27	Female	USA	2.5	240.6	7.3	Good	27.5	59	Low	1.8	null	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	null	Service	0	0
34	22	Male	Sweden	4.4	413.8	7.1	Good	22.1	86	Low	12.2	null	Student	0	0
35	44	Female	Brazil	3.8	364.3	9.2	Excellent	22.7	68	Low	3.1	null	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	191.3	7.9	Good	23.1	73	Low	9.8	null	Other	0	0
38	18	Female	China	2	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	null	Other	0	0
40	37	Female	India	0.4	40.6	7.4	Good	26.4	72	Low	8.1	null	Student	1	0
41	43	Male	Norway	3.3	314.8	6.2	Good	25.4	75	Low	9.8	null	Other	1	1
42	37	Male	USA	1.7	160.3	7	Good	24.4	60	Low	8.2	null	Office	0	0
43	33	Male	Norway	2.1	199.7	6.1	Good	24.5	64	Low	5.4	null	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	Good	24.6	72	Low	10.3	null	Other	1	0
46	26	Female	Canada	1.6	153	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	null	Office	0	0
48	47	Male	India	1.6	155	6.6	Good	24.6	59	Low	3.5	null	Office	0	0
49	39	Male	China	0.9	83.3	6.5	Good	21.6	68	Low	13.9	null	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	null	Other	1	1
52	30	Male	Japan	2.4	231.3	7.9	Good	24.3	73	Low	3.4	null	Service	0	0
53	26	Female	China	1.5	144.8	9.4	Excellent	21.4	62	Low	4.8	null	Student	0	0
54	42	Male	Finland	4.9	461	7.6	Good	18.9	89	Low	11.1	null	Service	0	0
55	47	Female	France	3.1	297.8	7.5	Good	29	56	Low	4.1	null	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	null	Student	0	1
59	38	Female	Sweden	3.5	333.2	7	Good	28	70	Low	12.6	null	Service	0	1
60	46	Female	Japan	2.8	261.4	6	Good	23.9	64	Low	12.3	null	Healthcare	1	0
61	29	Female	Spain	3.1	297.2	8	Good	23.5	62	Low	11.6	null	Healthcare	0	0
62	32	Male	Japan	1.1	101.6	6	Good	18.8	79	Low	0	null	Office	0	1
63	21	Male	Finland	0.4	40.3	5.4	Fair	21.2	71	Medium	1	Mild	Other	0	0
64	20	Male	Japan	0	0.4	8.2	Excellent	17.2	73	Low	8.8	null	Other	0	0
65	44	Female	Netherlands	0.1	11.2	7.3	Good	23.3	76	Low	11.5	null	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	null	Service	0	1
69	39	Male	Canada	1.6	155	9.6	Excellent	26.5	71	Low	1.3	null	Healthcare	0	0
70	27	Female	Italy	2.4	229.8	7.2	Good	29.2	90	Low	13.9	null	Student	0	0
71	39	Female	Brazil	1.3	125.5	6	Good	22.5	71	Low	4.7	null	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	null	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	null	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	7.4	Good	20	69	Low	2.3	null	Other	0	0
79	36	Male	UK	3.5	336.4	6.4	Good	25.6	74	Low	7.6	null	Service	0	1
80	18	Female	Australia	1.4	132.1	8.2	Excellent	17.1	74	Low	5.8	null	Service	1	0
81	32	Male	Sweden	0.8	76.6	7.2	Good	21.8	66	Low	4.6	null	Student	0	0
82	39	Male	Australia	1	91	7.7	Good	22.5	68	Low	2	null	Service	0	0
83	52	Male	Australia	1.5	146	6.4	Good	22	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	8.2	Excellent	21.8	70	Low	11.9	null	Office	0	0
86	28	Male	Brazil	0.9	83	7	Good	24.1	75	Low	8.6	null	Service	1	0
87	45	Female	Spain	3.5	329.5	7	Good	28.3	75	Low	11.3	null	Student	0	0
88	38	Female	Netherlands	1.7	165	7.7	Good	20.9	59	Low	9.2	null	Other	0	0
89	28	Male	Canada	1.1	106.8	7.1	Good	19.9	57	Low	1.7	null	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	92.8	6.4	Good	15.5	86	Low	7.5	null	Office	0	0
92	46	Male	Norway	2.5	240.6	6	Good	20.9	75	Low	11.1	null	Other	0	0
93	26	Male	Germany	1.7	159.8	6.2	Good	19.8	72	Low	13.1	null	Student	1	0
94	31	Female	South Korea	4.2	395.9	6.1	Good	17.3	79	Low	13.2	null	Service	0	0
95	30	Male	Italy	0	0	7.1	Good	23.6	57	Low	14	null	Other	0	0
96	18	Female	France	4.3	404	8.7	Excellent	28.4	79	Low	9.7	null	Other	0	0
97	38	Female	Netherlands	1.5	141.6	7.4	Good	28.2	64	Low	9.5	null	Healthcare	0	0
98	38	Female	France	4.9	465.6	7.1	Good	26.3	56	Low	3.6	null	Service	0	0
99	35	Female	Sweden	2.7	254.7	6	Good	28.8	69	Low	4.7	null	Service	0	0
100	32	Female	UK	4.3	408.5	8.1	Excellent	23	82	Low	9.1	null	Other	0	1

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