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Datasets:
Sandra Rimmer
SRimmer/
Complete-Blood-Count
0
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[0439da]: / blood_count_dataset.csv

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# Age Gender Hemoglobin Platelet_Count White_Blood_Cells Red_Blood_Cells MCV MCH MCHC
1 68 Female 10.4 180000 5700 3.7 77 25 32
2 25 Male 13.8 320000 7500 5.4 92 30 32
3 57 Male 13.5 370000 8500 5.1 90 29 32
4 28 Female 12.7 290000 7800 4.8 86 29 33
5 38 Male 14.9 380000 8700 5.7 95 31 33
6 47 Female 12.0 260000 7000 4.4 87 28 32
7 37 Male 14.5 380000 8700 5.7 95 31 33
8 30 Female 11.8 250000 7000 4.2 84 27 32
9 35 Female 11.5 240000 7100 4.2 84 27 32
10 22 Male 13.6 330000 7400 5.6 93 31 32
11 41 Female 12.2 310000 7700 4.6 88 29 33
12 34 Female 11.8 280000 7300 4.3 85 28 32
13 40 Male 15.2 400000 9200 5.8 96 32 33
14 58 Male 13.4 390000 8900 5.7 94 31 33
15 34 Female 11.8 280000 7300 4.3 85 28 32
16 50 Male 13.0 330000 7600 5.0 90 29 32
17 64 Female 10.7 200000 5900 3.9 79 26 32
18 30 Female 11.8 250000 7000 4.2 84 27 32
19 35 Male 14.5 380000 8500 5.2 94 31 33
20 40 Male 15.2 400000 9200 5.8 96 32 33
21 52 Male 14.2 370000 8300 5.4 92 31 33
22 70 Female 10.2 190000 5600 3.6 76 24 32
23 45 Female 12.2 270000 7200 4.6 88 28 32
24 63 Female 10.8 200000 5900 3.9 79 26 32
25 33 Male 14.8 360000 8200 5.3 91 30 33
26 60 Female 11.0 200000 6000 4.0 80 26 32
27 41 Female 12.2 310000 7700 4.6 88 29 33
28 36 Male 14.7 360000 8100 5.5 93 31 33
29 33 Male 14.8 360000 8200 5.3 91 30 33
30 39 Male 15.1 380000 9000 5.7 96 32 33
31 27 Female 12.0 230000 6900 4.3 85 28 32
32 35 Female 11.7 250000 6800 4.1 83 27 32
33 54 Male 13.5 350000 8000 5.1 90 29 32
34 35 Female 11.5 240000 7100 4.2 84 27 32
35 25 Male 13.9 330000 7200 5.3 91 30 32
36 40 Male 14.4 370000 8600 5.3 91 30 33
37 33 Female 11.8 250000 6800 4.2 84 27 32
38 36 Female 11.5 240000 7100 4.2 84 27 32
39 50 Male 13.2 350000 8000 5.0 90 29 32
40 35 Male 14.5 380000 8500 5.2 94 31 33
41 22 Male 13.6 330000 7400 5.6 93 31 32
42 68 Female 10.4 180000 5700 3.7 77 25 32
43 28 Female 12.7 290000 7800 4.8 86 29 33
44 55 Male 13.8 350000 8000 5.3 92 30 33
45 48 Female 12.6 260000 7000 4.5 87 28 32
46 25 Male 13.8 320000 7500 5.4 92 30 32
47 44 Female 12.1 280000 7000 4.5 89 27 32
48 44 Male 14.2 360000 8300 5.2 91 30 33
49 57 Male 13.5 370000 8500 5.1 90 29 32
50 29 Female 12.0 260000 7200 4.4 87 28 32
51 38 Male 14.0 360000 8200 5.6 93 31 33
52 39 Female 12.1 310000 7700 4.6 88 29 33
53 56 Male 14.9 380000 8700 5.7 95 31 33
54 31 Female 11.6 260000 7200 4.4 86 28 32
55 40 Male 14.4 370000 8600 5.3 91 30 33
56 38 Female 12.4 310000 7600 4.7 88 29 33
57 57 Male 13.5 370000 8500 5.1 90 29 32
58 36 Female 11.6 240000 7100 4.2 84 27 32
59 38 Male 14.9 380000 8700 5.8 95 31 33
60 27 Female 12.0 230000 6900 4.3 85 28 32
61 67 Female 10.3 180000 5600 3.7 77 25 32
62 60 Female 11.0 200000 6000 4.0 80 26 32
63 31 Female 11.6 260000 7200 4.4 86 28 32
64 50 Male 13.0 330000 7600 5.0 90 29 32
65 59 Male 14.8 370000 8500 5.5 93 31 33
66 26 Female 12.5 270000 7300 4.7 87 29 32
67 48 Male 13.3 340000 7900 5.1 90 29 32
68 26 Male 13.7 310000 7800 5.6 93 31 32
69 50 Female 11.9 260000 7100 4.4 87 28 32
70 45 Male 15.0 400000 9000 5.8 96 32 33
71 50 Male 13.0 330000 7600 5.0 90 29 32
72 65 Female 10.5 180000 5800 3.8 78 25 32
73 36 Female 11.6 240000 7100 4.2 84 27 32
74 30 Female 12.6 280000 7400 4.8 86 29 33
75 39 Male 15.1 380000 9000 5.7 96 32 33
76 28 Female 12.6 280000 7400 4.8 86 29 33
77 38 Male 14.9 380000 8700 5.8 95 31 33
78 31 Female 12.3 290000 7400 4.6 88 29 32
79 50 Male 13.2 350000 8000 5.0 90 29 32
80 29 Male 13.2 340000 7800 5.3 91 30 32
81 70 Female 10.2 190000 5600 3.6 76 24 32
82 32 Male 14.7 350000 8200 5.4 92 30 33
83 68 Female 10.4 180000 5700 3.7 77 25 32
84 22 Male 13.6 330000 7400 5.6 93 31 32
85 29 Male 13.2 340000 7800 5.3 91 30 32
86 24 Male 13.8 320000 7400 5.5 93 31 32
87 29 Female 12.7 280000 7400 4.8 86 29 33
88 43 Male 14.2 360000 8300 5.2 91 30 33
89 45 Male 15.0 400000 9000 5.8 96 32 33
90 43 Male 14.2 360000 8300 5.2 91 30 33
91 63 Female 10.8 200000 5900 3.9 79 26 32
92 49 Male 13.0 330000 7600 5.0 90 29 32
93 40 Male 15.2 400000 9200 5.8 96 32 33
94 30 Female 12.0 260000 7200 4.4 87 28 32
95 55 Male 13.8 350000 8000 5.3 92 30 33
96 56 Male 14.9 380000 8700 5.7 95 31 33
97 36 Female 11.5 240000 7100 4.2 84 27 32
98 54 Male 13.5 350000 8000 5.1 90 29 32
99 58 Female 10.9 190000 5800 3.8 80 26 32
100 44 Female 12.1 280000 7000 4.5 89 27 32