Incorrect data can lead to unexpected program execution results. Data entry errors can be reduced by only accepting valid input, e.g., if a number must be entered, alphabetic characters are ignored. After data validation, error messages can be prompted to the user, requiring him to enter the data again.
Answer:
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Explanation:
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The statement 'a data mart is the operational database for the company' is true.
We can define a data mart as a subject-oriented database that focuses on a particular area in an organization.
It is through data mart that the employees of a company can access data faster. Data mart, functioning as the operational database, helps employees as they do not have to manually add all the data again. Also, any piece of data needed by an employee can easily be accessed through the data mart of the company.
One of the advantages of using data mart is that it eradicates human-made errors which can arise if data is added manually by an employee.
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Answer:
Hi there! This can be implemented in a simple Python function which uses the "random" module to generate the number.
Explanation:
Using Python as the languge, we can write a the below code in a file called styles.py. The first line imports the randint function from the "random" module. The setStyles() function declares an array or 5 elements (here I have just used numbers but these could be string names of the stylesheets as well). Next, styleNum is assigned the random number and the associated stylesheet is selected from the array of stylesheets.
styles.py
from random import randint
def setStyles():
stylesheets = [1,2,3,4,5];
styleNum = randint(1,5);
stylesheet = stylesheets[styleNum];
print(stylesheet);
setStyles();
