Changelog

0.1.0 (unreleased)

Initial release — a Python port of ExPanDaR.

• Analytical functions returning Plotly figures and Great Tables / pyfixest output: prepare_descriptive_table, prepare_correlation_table, prepare_correlation_graph, prepare_ext_obs_table, prepare_trend_graph, prepare_quantile_trend_graph, prepare_by_group_bar_graph, prepare_by_group_trend_graph, prepare_by_group_violin_graph, prepare_histogram, prepare_bar_chart, prepare_missing_values_graph, prepare_scatter_plot, prepare_regression_table, and treat_outliers.
• The interactive ExPdPy app (Shiny for Python) with in-app upload, save/load of configurations, and reproducible notebook/script export.
• A second interactive ExPdPy app (Streamlit): the same no-code exploration UI in a multipage layout with native tables, the subset / outlier / user-defined-variable pipeline, config save/load (interchangeable with the Shiny app’s configs) and reproducible notebook export — runnable locally and on Streamlit Community Cloud (streamlit run streamlit_app.py).
• Bundled datasets: kuznets (a synthetic panel whose regional inequality traces an N-shaped Kuznets curve — the default showcase across the docs and the app picker) and gapminder (plus their definition tables and configurations).