Week 9 Practice Notebooks - Duplicate

# Import NumPy and matplotlib.pyplot import numpy as np import matplotlib.pyplot as plt

# Read in the data for age, bmi and insurance charges in separate arrays. # Print out to check # age = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=0) # input column 1 with index 0 print('Age Data') print (age) # bmi = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=2) # input column 1 with index 0 print('BMI Data') print (bmi) # insurance = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=6) # input column 1 with index 0 print('Insurance Costs') print (insurance)

# print out the number of data instances print(f"We have {len(age)} data entries") print(f"We have {len(bmi)} data entries") print(f"We have {len(insurance)} data entries")

# plot charges vs age and add labels to axis and title insurance = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=6) # input column 1 with index 0 print('Insurance Costs') print (insurance) age = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=0) # input column 1 with index 0 print('Age Data') print (age) x = np.array (age) y= np.array(insurance) plt.scatter (x,y) plt.title('Charges vs Age plot') plt.xlabel('age') plt.ylabel('charges') plt.plot (x, y, 'ro')

# plot charges vs BMI; add axis labels and plot title insurance = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=6) # input column 1 with index 0 print('Insurance Costs') print (insurance) bmi = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=2) # input column 1 with index 0 print('BMI Data') print (bmi) x = np.array (bmi) y= np.array(insurance) plt.scatter (x,y) plt.title('bmi vs charges') plt.xlabel('bmi') plt.ylabel('charges') plt.plot (x, y, 'ro')

# Import NumPy and matplotlib.pyplot import numpy as np import matplotlib.pyplot as plt

# Read in the data for bmi and insurance charges in separate arrays. # Print out to check # filename='insurance.csv' insurance = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=6) # input column 1 with index 0 print('Insurance Costs') print (insurance) bmi = np.loadtxt('insurance.csv', delimiter=',', skiprows=1, usecols=2) # input column 1 with index 0 print('BMI Data') print (bmi)

# Fit a line using linear regression