5.21 LAB: Adjust list by normalizing

Question

When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.

For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow.

Output each floating-point value with two digits after the decimal point, which can be achieved by executing

cout << fixed << setprecision(2); once before all other cout statements.

Answer 1

How it works:

1. Read the count of values (n)
2. Read all n floating-point values into a vector
3. Find the maximum value while reading
4. Set output precision to 2 decimal places
5. Divide each value by the maximum and output

Example: Input: 5 30.0 50.0 10.0 100.0 65.0

Output: 0.30 0.50 0.10 1.00 0.65

#include <iostream>

#include <iomanip>

#include <vector>

using namespace std;

int main() {

int n;

cin >> n;

vector<double> values(n);

double maxValue = 0.0;

// Read all values and find maximum

for (int i = 0; i < n; i++) {

cin >> values[i];

if (values[i] > maxValue) {

maxValue = values[i];

}

}

// Set output format to 2 decimal places

cout << fixed << setprecision(2);

// Normalize and output each value

for (int i = 0; i < n; i++) {

cout << values[i] / maxValue << " ";

}

cout << endl;

return 0;

}