A help system refers to a documentation component that usually accompany every software. It is meant to help the users when they encounter problems in the course of using the software. The most difficult part of working with the help system IS PHRASING YOUR QUESTION. A user has to use the correct words and phrases in order to get the needed help from the help system. 
        
             
        
        
        
Answer:
Differentiation
Explanation:
Differentiation is a business strategy used by organizations for gaining a competitive edge over competitors in the market.
During this approach, the organizations/business introduces a special strategy which goal is to differentiate their product or service in a positive way, from other products that are alike. 
In this scenario the organization(CompX Inc) is offering a superior customer support.
 
        
             
        
        
        
Answer:
Explanation:
There are different advantages to buy commercial software like:
- Is a system used for other companies, we will have good referents with the feedback of them.
- Support, we should have support twenty-four hours, if a system doesn't have good support, we must not buy the software.
- We can choose software with a lower initial cost, this depends on our needs.
 
        
             
        
        
        
Answer:
SONET was the only one on the list created near the 1980s (1985)
Good luck!
<em>~Awwsome</em>
 
        
             
        
        
        
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: