LoslegenKostenlos loslegen

Implementing data validation

After successfully reading the market data files, you've noticed that some files might be empty or missing important columns. Before performing any complex analysis, you need to implement basic validation checks to ensure the data files are usable. This will help prevent errors later in your data processing pipeline.

The Files, Path, Paths, and List classes have been imported for you.

Diese Übung ist Teil des Kurses

Importing Data in Java

Kurs anzeigen

Anleitung zur Übung

  • Read all lines from the file into a list.
  • Check if the file is empty.
  • Verify the header contains the expected column names: Date and Ticker.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

public class SimpleDataValidation {
    public static void main(String[] args) {
        try {
            // Read all lines from the file
            Path path = Paths.____("sample_market_data.csv");
            List lines = Files.____(path);
            
            // Check if the file is empty
            System.out.println("File is empty: " + ____.____());
            
            // Verify the header contains expected column names
            if (!lines.isEmpty()) {
                String firstLine = lines.get(0);
                System.out.println("First line: " + firstLine);
                System.out.println("Contains 'Date': " + firstLine.____("____"));
                System.out.println("Contains 'Ticker': " + firstLine.contains("____"));
                System.out.println("Total lines: " + lines.size());
            }
        } catch (IOException e) {
            System.err.println("Error reading file: " + e.getMessage());
        }
    }
}
Code bearbeiten und ausführen