The effort is necessary in making sure that the data is meaningful, correct, and timely. Many analysts are increasingly focused on quality on a per-attribute basis instead of a per-report basis. This will avoid excess control of access and instead focus on meaning. A data-driven organization that includes a comprehensive data cleanup is able to make informed choices that maximize value on strategic investments.
The following code will program that prompts the user to enter the num- ber of hours a car is parked at the airport and outputs the parking fee.
<u>Explanation:</u>
Code:
#include<iostream>
using namespace std;
int main()
{
float hours;
cout <<"Enter number of hours a car parked at the airport: "; // prompt the user to enter hours.
cin >> hours ; // strong the hours
if (hours > = 0 && hours < =3 ) // if 0 < = h < = 3
cout << "Parking fee: 5"; //printing parking fee is 5.
else if (hours > 3 && hours < = 9)//if 3 < h < = 9
cout<<"Parking fee: "<<6*int(hours);//converting float value to int the multiplying with 6 then printing fee.
else//if 9 < h < = 24
cout<< "Parking fee: 60";// printing parking fee 60.
return 0;
}
Primary Key, if we define field as primary key it will not accept duplicate values.<span>
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<span>They are made for vehicles that are slow moving or should travel at a low speed so as not to endanger the lives of other drivers on the road, they are signs that prevent bottlenecks with slow vehicles, which for one reason or another, they cannot travel at a higher speed than others cars in the road, this mostly is noticed in cargo trucks carrying heavy cargo during a long journey.</span>
