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:
Answer:
False
Explanation:
The answer to this question is false. This is because the NVD doesn't perform such tests on their own. Instead they they rely on third-party vendors, software researchers, etc to get such reports and do the assignment of CVSS scores for softwares
The National Vulnerability Database (NVD) is the United State governments leading resource for software vulnerability
Answer:
The given statement is False.
Explanation:
- Needs Met Rating of a result show us that how much the result is fulfilling the query of the user. The greater the needs met rating is, the greater the satisfaction of the user is.
- If a page has high quality then it can or can not be useful for the user.
- If the page has high quality as well as high needs met rating then it is best for the user.
- If the page has high quality and has low needs met rating that means it is not relevant to the query so not useful for the user.
- Thus, it is concluded that high quality pages in a task shouldn't all get the same needs met rating rating rather need met rating is dependent upon the relevancy and usefulness of the result to the need and query of the user.
