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.
This exercise is part of the course
Importing Data in Java
Exercise instructions
- 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.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
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);
}
}