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Handling missing JSON values

While merging employee data, you notice some records have incomplete information marked as "N/A". Before analysis, you need to identify these gaps and handle them properly.

Tablesaw can be configured to recognize custom placeholders as missing values, allowing you to detect and filter incomplete records.

The JsonReader, JsonReadOptions, and Table classes have been imported for you.

Bu egzersiz

Importing Data in Java

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Configure the JSON options to treat "N/A" as a missing value.
  • Load the employee data into a table.
  • Filter for rows with missing department values.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

public class MissingValues {
    public static void main(String[] args) {
        // Configure "N/A" as missing
        JsonReadOptions options = JsonReadOptions
            .builder("employees_missing.json")
            .____("N/A")
            .build();
        
        // Load employee data
        Table employees = new ____().read(options);
        System.out.println("All employees:");
        System.out.println(employees);
        
        // Filter for missing department
        Table missingDept = employees.where(
            employees.stringColumn("department").____()
        );
        
        System.out.println("\nEmployees with missing department:");
        System.out.println(missingDept);
    }
}
Kodu Düzenle ve Çalıştır