Answer:
import pandas as pd #importing pandas library as pd
import matplotlib.pyplot as plt #importing matplotlib.pyplot as plt
pop=pd.read_csv('nycHistPop.csv') #reading the csv file
borough=input('Enter borough name:') #asking the user for borough namme
# image=input('Enter image name:')
# pop['Fraction']=pop[borough]/pop['Total']
# pop.plot(x='Year', y='Fraction')
print("Minimum population",pop[borough].min()) #printing the minimum population of borough
print("Maximum population",pop[borough].max()) #printing the maximum population of borough
print("Average population",pop[borough].mean()) #printing the average population of borough
print("Standard deviation",pop[borough].std()) #printing the standard deviation of borough
# fig=plt.gcf()
# fig.savefig(image)
Explanation:
It's voice phishing but it's also sometimes referred to as vishing
A scientific experiment is repeatable. Pseudoscience makes claims that cannot be either confirmed or denied. Both seem to want to explain our experiences and broaden our understanding. Science, as a working method, employs basic principles such as objectivity and accuracy to establish a finding. It often also uses certain admitted assumptions about reality, assumptions that must eventually support themselves and be proven, or the resulting finding fails verification. Pseudoscience, however, uses invented modes of analysis which it pretends or professes meet the requirements of scientific method, but which in fact violate it's essential attributes. Many obvious examples of pseudoscience are easy to identify, but the more subtile and herefore more insidious and convincing cases.
