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Datarensning i Java

Dennis Lee

Software Engineer

Vår resa genom datarensning

// From assessing quality
DescriptiveStatistics stats = new DescriptiveStatistics(values);
System.out.println("Mean: " + stats.getMean());

// To transforming strings String clean = text.trim().toLowerCase();
// To validating ranges boolean isValid = Range.between(0, 100).contains(value);
// To cleaning tables Table cleaned = data.where(sales.isGreaterThan(1000));
Datarensning i Java

Bedöma datakvalitet

  • Dålig data leder till dåliga beslut
  • Bedöm datakvalitet: kontrollera outliers, saknade värden och felaktiga typer
// Check statistics
double mean = stats.getMean();

// Detect nulls boolean isMissing = Optional.ofNullable(value).isEmpty();
// Verify types boolean isValidDate = LocalDate.parse(dateStr, formatter);
Datarensning i Java

Transformera data konsekvent

  • Inkonsekventa format försvårar korrekt analys
  • Rensa strängar; standardisera kategorier och datum
// Normalize strings (e.g., remove non-letters)
String cleaned = dirtyName.replaceAll("[^a-zA-Z\\s]", "");

// Standardize categories String standard = categoryMap.getOrDefault(value, "Other");
// Convert dates LocalDateTime datetime = LocalDateTime.parse(dateStr, formatter);
Datarensning i Java

Validera dataintegritet

  • Stoppa felaktig data innan den når systemet
  • Kontrollera giltiga intervall och format mot affärsregler
// Check ranges
boolean inRange = Range.between(min, max).contains(value);

// Validate patterns boolean matches = Pattern.matches(pattern, text);
// Enforce constraints Set<ConstraintViolation<Data>> violations = validator.validate(data);
Datarensning i Java

Rensa tabelldata

for (String colName : data.columnNames()) {
    // Check missing values 
    System.out.println(data.column(colName).countMissing());
}

StringColumn cleaned = names.map(String::toLowerCase) // Clean text .setName("Clean_Names"); // Name new column
Table summary = data .where(sales.isGreaterThan(1000)) // Filter rows .summarize("Sales", mean) // Aggregate data .by("Category"); // Group results
Datarensning i Java

Resurser

Datarensning i Java

Redo att rensa

Datarensning i Java

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