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March 16, 2026 13:13
…, distribution, and clustering - Implemented AdvancedAnomalyPlotter for anomaly scatter plots, Mahalanobis distance histograms, consensus comparisons, and t-SNE/UMAP overlays. - Created AdvancedCorrPlotter for partial correlation heatmaps, mutual information heatmaps, bootstrap confidence interval plots, correlation network graphs, and distance correlation heatmaps. - Developed AdvancedDistPlotter for best-fit overlays, ECDF plots, power transform comparisons, and Jarque-Bera test visualizations. - Introduced ClusterPlotter for elbow/silhouette plots, 2D cluster scatter plots, dendrograms, and cluster profile heatmaps.
- Introduced a new module `i18n.py` to handle translations for six languages: English, Korean, Chinese, Japanese, German, and French. - Implemented a translation dictionary with semantic keys for various report elements including page titles, section headers, navigation labels, and statistical test names. - Added a function to retrieve translations based on the selected language, defaulting to English if a key is missing. - Included a method to export all translations as a JSON string for use in JavaScript.
…missing data, outliers, PCA, basic plots, data quality, and theme management - Implemented `ClusterPlotter` for clustering visualizations including elbow/silhouette plots, 2D scatter, dendrograms, and heatmaps. - Created `CorrelationPlotter` for generating correlation heatmaps and pairplots. - Developed `DistributionPlotter` for violin plots, KDE plots, and Q-Q plots. - Added `MissingPlotter` for visualizing missing data patterns with matrices and bar charts. - Introduced `OutlierPlotter` for box-and-strip plots highlighting outliers. - Implemented `PCAPlotter` for scree plots and loadings heatmaps. - Created `BasicPlotter` for histograms, boxplots, and bar charts for categorical data. - Added `QualityPlotter` for visualizing data quality scores with bar charts and heatmaps. - Introduced `F2ATheme` for consistent styling across visualizations.
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