Data opschonen in Java
Dennis Lee
Software Engineer
// Van kwaliteitsbeoordeling DescriptiveStatistics stats = new DescriptiveStatistics(values); System.out.println("Mean: " + stats.getMean());// Naar strings transformeren String clean = text.trim().toLowerCase();// Naar bereiken valideren boolean isValid = Range.between(0, 100).contains(value);// Naar tabellen schonen Table cleaned = data.where(sales.isGreaterThan(1000));
// Statistieken checken double mean = stats.getMean();// Nulls detecteren boolean isMissing = Optional.ofNullable(value).isEmpty();// Types verifiëren boolean isValidDate = LocalDate.parse(dateStr, formatter);
// Strings normaliseren (bijv. niet-letters verwijderen) String cleaned = dirtyName.replaceAll("[^a-zA-Z\\s]", "");// Categorieën standaardiseren String standard = categoryMap.getOrDefault(value, "Other");// Datums omzetten LocalDateTime datetime = LocalDateTime.parse(dateStr, formatter);
// Bereiken checken boolean inRange = Range.between(min, max).contains(value);// Patronen valideren boolean matches = Pattern.matches(pattern, text);// Constraints afdwingen Set<ConstraintViolation<Data>> violations = validator.validate(data);
for (String colName : data.columnNames()) { // Missende waarden checken System.out.println(data.column(colName).countMissing()); }StringColumn cleaned = names.map(String::toLowerCase) // Tekst schoonmaken .setName("Clean_Names"); // Nieuwe kolomnaamTable summary = data .where(sales.isGreaterThan(1000)) // Rijen filteren .summarize("Sales", mean) // Data aggregeren .by("Category"); // Resultaten groeperen
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Data opschonen in Java