average per cluster

Author: devhelpr

src/assets/bias-detection-python-code.tsx

@@ -542,7 +542,7 @@ def run():
                 charts.append({
                         'yAxisLabel': 'distribution.frequency',
                         'type': 'clusterNumericalVariableDistribution',
-                        'headingKey': 'biasAnalysis.distribution.heading',  
+                        'headingKey': 'biasAnalysis.distribution.headingAverage',  
                         'title': var,
                         'meanValue': overall_means[var],
                         'data': means[var].to_json(orient='records'),

src/locales/en.ts

@@ -393,6 +393,7 @@ For categorical data a two-sided Z-test, while for numerical data a two-sided t-
         distribution: {
             mainHeading: '6. Cluster differences wrt. features',
             heading: '"{{variable}}" distribution per cluster:',
+            headingAverage: '"Average {{variable}}" per cluster:',
             noResultsClusterDifferences: `No results for cluster differences with respect to features are shown, because there is no statistically significant difference in {{biasVariable}} between the most deviating cluster and the rest of the dataset.`,
         },
         splittingDataset: {

src/locales/nl.ts

@@ -350,6 +350,7 @@ Een eenzijdige Z-toets wordt uitgevoerd:
         distribution: {
             mainHeading: '6. Cluster verschillen mbt. eigenschappen',
             heading: '"{{variable}}" verdeling per cluster:',
+            headingAverage: '"Gemiddelde {{variable}}" per cluster:',
             noResultsClusterDifferences: `Er worden geen resultaten getoond voor clusterverschillen met betrekking tot kenmerken, omdat er geen statistisch significant verschil is in {{biasVariable}} tussen het meest afwijkende cluster en de rest van de dataset.`,
         },
         splittingDataset: {