import pandas as pd
import numpy as np
full_health_data = pd.read_csv("data.csv", header=0, sep=",")
Max_Pulse= full_health_data["Max_Pulse"]
percentile10 = np.percentile(Max_Pulse, 10)
print(percentile10)
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Duration,Average_Pulse,Max_Pulse,Calorie_Burnage,Hours_Work,Hours_Sleep
60,110,130,409,0,8
60,117,145,479,0,8
60,103,135,340,8,7.5
45,109,175,282,8,8
45,117,148,406,0,6.5
60,102,127,300,0,7.5
60,110,136,374,0,7.5
45,104,134,253,0,9
30,109,133,195,8,8
60,98,124,269,7.5,8
60,103,147,329,8,7
60,100,120,250,0,5
60,106,128,345,8.5,7.5
60,104,132,379,8.5,7.5
60,98,123,275,9,7
60,98,120,215,6.5,7
60,100,120,300,9,8
45,90,112,180,8,8
60,103,123,323,8,8
45,97,125,243,8,7
60,108,131,364,8,7
45,100,119,282,0,7
60,130,101,300,8,7
45,105,132,246,0,8
60,102,126,334,8,8
60,100,120,250,8,7
60,92,118,241,7,6
60,103,132,353,9,8.5
60,100,132,280,3,8
60,102,129,380,3,8
60,92,115,243,7.5,8
60,101,124,299,8.5,7.5
60,93,113,223,8,7
60,107,136,361,2,8
60,114,140,415,9,8.5
60,100,120,300,8,7
60,100,120,300,7,6
45,104,129,266,8,7
60,98,126,286,7.5,7
60,100,122,329,8,7
60,111,138,400,8,8
60,111,131,397,0,8
60,99,119,273,8,7
60,109,153,387,8,7