Answer:
3. Granularity
Explanation:
Granularity's concept is representing the level of how do we store the data in our database.
If the data are detailed, we can resume the data until get a granularity more strong for our analysis.
For example:
We could store data year by year of our costumers, if want to get more granularity, we could store data month by month, also we could get specific data like how often our customers visit the business or how often our customers buy in a category product.
Answer:
The program in Python is as follows:
n = int(input("Integer: "))
product = 1
for i in range(1,n+1):
product*=i
if(i!=n):
print(str(i)+" *",end =" ")
else:
print(i,end =" ")
print(" = ",product)
Explanation:
This prompts the user for integer input
n = int(input("Integer: "))
This initializes the product to 1
product = 1
This iterates through n
for i in range(1,n+1):
This multiplies each digit from 1 to n
product*=i
This generates the output string
<em> if(i!=n):</em>
<em> print(str(i)+" *",end =" ")</em>
<em> else:</em>
<em> print(i,end =" ")</em>
This prints the calculated product (i.e. factorial)
print(" = ",product)
Answer:
An algorithm is a specific procedure for solving a well-defined computational problem. ... It requires an understanding of the alternatives available for solving a computational problem, including the hardware, networking, programming language, and performance constraints that accompany any particular solution.
