Department analysis
Your initial analysis impressed the HR team! Now they want to dive deeper into departmental insights. The leadership team is considering budget allocations for next year and needs to understand how salaries are distributed across different departments. They're particularly interested in departments with both high average salaries and a good number of senior employees (age 40+).
The Table, Selection, and aggregate functions (mean, count, max) have been imported for you.
Este ejercicio forma parte del curso
Importing Data in Java
Instrucciones del ejercicio
- Summarize
"Salary"withmean,count, andmax. - Filter for employees aged 40+.
- Sort by
"Department", then"Salary"descending.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
public class DepartmentAnalysis {
public static void main(String[] args) {
try {
Table highEarners = Table.read().csv("top_10_earners.csv");
// Summarize Salary with mean, count, and max
Table salarySummary = highEarners.____("____",
mean, count, max).apply();
System.out.println("Salary Summary:");
System.out.println(salarySummary);
// Filter for employees aged 40+
Table seniorEmployees = highEarners.where(
highEarners.intColumn("____").isGreaterThanOrEqualTo(____));
// Sort by Department, then Salary descending
Table sortedSeniors = seniorEmployees.____("Department")
.sortDescendingOn("Salary");
System.out.println("\nSenior Employees (40+) by Department:");
System.out.println(sortedSeniors);
} catch (Exception e) {
System.err.println("Error reading CSV files: " + e.getMessage());
}
}
}