import pandas as pd import numpy as np health_data = pd.read_csv("data.csv", header%=0, sep=",") %3D x = health_data["Average_Pulse"] y = health_data["Calorie_Burnage"] %3D slope_intercept = np.polyfit(x,y,1) %3D print(slope_intercept)
import pandas as pd import numpy as np health_data = pd.read_csv("data.csv", header%=0, sep=",") %3D x = health_data["Average_Pulse"] y = health_data["Calorie_Burnage"] %3D slope_intercept = np.polyfit(x,y,1) %3D print(slope_intercept)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Print output in data science
Transcribed Image Text:prog.py
data.csv
Duration, Average_Pulse,Max_Pulse,Calorie_Burnage, Hours Work,Hours_Sleep
30,80,120, 240, 10,7
45,85,120, 2se,10,7
45,90,130, 260,8,7
60,95,130,270,8,7
60,100,140,280,0,7
60,105,140, 290,7,8
60,110,145, 300,7,8
45,115,145,310,8,8
60,120,150,320,0,8
45,125,150,330,8,8
![import pandas as pd
import numpy as np
health_data = pd.read_csv("data.csv", header=0, sep=",")
x = health_data["Average_Pulse"]
y health_ data["Calorie_Burnage"]
slope_intercept = np.polyfit(x,y,1)
%23
print(slope_intercept)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1e5a04a3-90a7-4e9b-a076-0f01bd85092e%2Fb5d0a9c2-df7d-4d7d-b934-5c9bee3b43e3%2F4kfxnth_processed.jpeg&w=3840&q=75)
Transcribed Image Text:import pandas as pd
import numpy as np
health_data = pd.read_csv("data.csv", header=0, sep=",")
x = health_data["Average_Pulse"]
y health_ data["Calorie_Burnage"]
slope_intercept = np.polyfit(x,y,1)
%23
print(slope_intercept)
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