Examples with ValueQualityStatistics org.talend.dataquality.common.inference.ValueQualityStatistics used on opensource projects

Example 1 with ValueQualityStatistics

use of org.talend.dataquality.common.inference.ValueQualityStatistics in project data-prep by Talend.

the class StatisticsAdapter method injectValueQuality.

private void injectValueQuality(final ColumnMetadata column, final Analyzers.Result result) {
    if (result.exist(ValueQualityStatistics.class)) {
        final Statistics statistics = column.getStatistics();
        final Quality quality = column.getQuality();
        final ValueQualityStatistics valueQualityStatistics = result.get(ValueQualityStatistics.class);
        final long allCount = valueQualityStatistics.getCount();
        final long emptyCount = valueQualityStatistics.getEmptyCount();
        final long validCount = valueQualityStatistics.getValidCount();
        final long invalidCount = allCount - emptyCount - validCount;
        // Set in column quality...
        quality.setEmpty((int) emptyCount);
        quality.setValid((int) validCount);
        quality.setInvalid((int) invalidCount);
        // ... and statistics
        statistics.setCount(allCount);
        statistics.setEmpty((int) emptyCount);
        statistics.setInvalid((int) invalidCount);
        statistics.setValid(validCount);
    }
}

Example 2 with ValueQualityStatistics

use of org.talend.dataquality.common.inference.ValueQualityStatistics in project data-prep by Talend.

the class BackgroundAnalysis method updateNbRecords.

/**
 * Update the number of records for the dataset.
 *
 * @param metadata the dataset metadata to update.
 * @param results the
 */
private void updateNbRecords(DataSetMetadata metadata, List<Analyzers.Result> results) {
    // defensive programming
    if (results.isEmpty()) {
        return;
    }
    // get the analyzer of the first column
    final Analyzers.Result result = results.get(0);
    if (result.exist(ValueQualityStatistics.class)) {
        final ValueQualityStatistics valueQualityStatistics = result.get(ValueQualityStatistics.class);
        metadata.getContent().setNbRecords(valueQualityStatistics.getCount());
    }
    LOGGER.debug("nb records for {} is updated to {}", metadata.getId(), metadata.getContent().getNbRecords());
}

Example 3 with ValueQualityStatistics

use of org.talend.dataquality.common.inference.ValueQualityStatistics in project data-prep by Talend.

the class StatisticsUtilsTest method adaptColumn.

private void adaptColumn(final ColumnMetadata column, final DataTypeEnum type) {
    Analyzers.Result result = new Analyzers.Result();
    // Data type
    DataTypeOccurences dataType = new DataTypeOccurences();
    dataType.increment(type);
    result.add(dataType);
    // Semantic type
    SemanticType semanticType = new SemanticType();
    CategoryFrequency category1 = new CategoryFrequency("category 1", "category 1");
    category1.setScore(99);
    semanticType.increment(category1, 1);
    result.add(semanticType);
    // Suggested types
    CategoryFrequency category2 = new CategoryFrequency("category 2", "category 2");
    category2.setScore(81);
    semanticType.increment(category2, 1);
    CategoryFrequency category3 = new CategoryFrequency("category 3", "category 3");
    category3.setScore(50);
    semanticType.increment(category3, 1);
    // Value quality
    ValueQualityStatistics valueQualityStatistics = new ValueQualityStatistics();
    valueQualityStatistics.setEmptyCount(10);
    valueQualityStatistics.setInvalidCount(20);
    valueQualityStatistics.setValidCount(30);
    result.add(valueQualityStatistics);
    // Cardinality
    CardinalityStatistics cardinalityStatistics = new CardinalityStatistics();
    cardinalityStatistics.incrementCount();
    cardinalityStatistics.add("distinctValue");
    result.add(cardinalityStatistics);
    // Data frequency
    DataTypeFrequencyStatistics dataFrequencyStatistics = new DataTypeFrequencyStatistics();
    dataFrequencyStatistics.add("frequentValue1");
    dataFrequencyStatistics.add("frequentValue1");
    dataFrequencyStatistics.add("frequentValue2");
    dataFrequencyStatistics.add("frequentValue2");
    result.add(dataFrequencyStatistics);
    // Pattern frequency
    PatternFrequencyStatistics patternFrequencyStatistics = new PatternFrequencyStatistics();
    patternFrequencyStatistics.add("999a999");
    patternFrequencyStatistics.add("999a999");
    patternFrequencyStatistics.add("999aaaa");
    patternFrequencyStatistics.add("999aaaa");
    result.add(patternFrequencyStatistics);
    // Quantiles
    QuantileStatistics quantileStatistics = new QuantileStatistics();
    quantileStatistics.add(1d);
    quantileStatistics.add(2d);
    quantileStatistics.endAddValue();
    result.add(quantileStatistics);
    // Summary
    SummaryStatistics summaryStatistics = new SummaryStatistics();
    summaryStatistics.addData(1d);
    summaryStatistics.addData(2d);
    result.add(summaryStatistics);
    // Histogram
    StreamNumberHistogramStatistics histogramStatistics = new StreamNumberHistogramStatistics();
    histogramStatistics.setNumberOfBins(2);
    histogramStatistics.add(1);
    histogramStatistics.add(2);
    result.add(histogramStatistics);
    // Text length
    TextLengthStatistics textLengthStatistics = new TextLengthStatistics();
    textLengthStatistics.setMaxTextLength(30);
    textLengthStatistics.setMinTextLength(10);
    textLengthStatistics.setSumTextLength(40);
    textLengthStatistics.setCount(5);
    result.add(textLengthStatistics);
    StatisticsAdapter adapter = new StatisticsAdapter(40);
    adapter.adapt(Collections.singletonList(integerColumn), Collections.singletonList(result));
    adapter.adapt(Collections.singletonList(stringColumn), Collections.singletonList(result));
}