Computing percentiles
You have computed the mean, minimum, and maximum transaction amounts of sample coffee sales. Now find the median, 25th, and 75th percentiles of the transaction amounts formatted to two decimal places.
| date | coffee_name | payment_method | quantity | amount |
|---|---|---|---|---|
| 3/1/24 | Latte | cash | 1 | $6.26 |
| 3/5/24 | Hot Chocolate | card | 3 | $32.51 |
| 3/6/24 | Americano | card | 2 | $18.70 |
The necessary packages such as LocalDate, Arrays, List and DescriptiveStatistics have been imported for you.
Diese Übung ist Teil des Kurses
Cleaning Data in Java
Anleitung zur Übung
- Compute the median transaction amount, or the 50th percentile, of the coffee sales.
- Compute the 25th and 75th percentiles of the transaction amounts.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
public class CoffeeSalesExample {
private record CoffeeSales(LocalDate date, String coffeeName,
String paymentMethod, int quantity, double amount) {
}
public static void main(String[] args) {
List sales = Arrays.asList(
new CoffeeSales(LocalDate.of(2024, 3, 1), "Latte", "cash", 1, 6.26),
new CoffeeSales(LocalDate.of(2024, 3, 5), "Hot Chocolate", "card", 3, 32.51),
new CoffeeSales(LocalDate.of(2024, 3, 6), "Americano", "card", 2, 18.70));
DescriptiveStatistics stats = new DescriptiveStatistics();
sales.forEach(sale -> stats.addValue(sale.amount()));
System.out.printf("\nSales analyzed: %d%n", sales.size());
System.out.printf("Average amount: $%.2f%n", stats.getMean());
System.out.printf("Amount range: $%.2f - $%.2f%n",
stats.getMin(), stats.getMax());
// Compute the median transaction amount
System.out.printf("Median amount: $%.2f%n", stats.____(____));
// Compute the 25th and 75th percentiles of the amounts
System.out.printf("Normal range: $%.2f - $%.2f%n",
stats.____(____), stats.____(____));
}
}