// C++ switch
// It can also be used for JAVA, C#
switch(age){
// here age will be sent by the function in which it is used
// case to check the age<2
case(age<2 && age>0):
// printing the line
cout<<"ineligible";
// case to check the age ==2
case(age==2):
// printing the line
cout<<"toddler";
// case to check 3-5
case(age>=3 && age<=5):
cout<<"early childhood";
// case to check 6-7
case(age==6 || age==7):
cout<<"young reader";
//case to check 8-10
case(age>=8 && age<=10):
cout<<"elementary";
// case to check 13
case(age==13):
cout<<"impossible";
//case tocheck 14-16
case(age>=14 && age<=16):
cout<<"high school";
// case to check 17 or 18
case(age==17 || age==18):
cout<<"scholar";
//case to check >18
case(age>18);
cout<<"ineligible";
// default case
default:
cout<<"Invalid age";
}
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Yes because when you are continued or addicted to a certain drug (alcohol) you can get addicted to harder substances
Programming
It can also be described as Reverse Engineering
<span>The answer is, "Load anti-virus software".
</span>Anti-virus softwares are used to prevent computer from virus, as it name shows that are anti-virus means they prevent from virus. Anti virus softwares are also known as anti-malware software. These software work in such a way that they <span>prevent, detect and then remove viruses or </span><span>malicious software.</span>
Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
<h3>What is anonymization?</h3>
The term anonymization is known as data masking and it is the standard solution in the case of data pseudonymisation. It is generally recognised by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Data is generally identified by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Therefore, Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
Learn more about anonymization here:
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