deaviz (development version)

• New dataset taiwanese_banks: a balanced panel of 22 Taiwanese commercial banks over 2009-2011 (Kao & Liu, 2014, ), used as the worked example for plot_panel_io_biplot().
• plot_panel_io_biplot() now accepts inputs, outputs, id and period as integer column positions as well as names, and repels the loading-vector labels (via ggrepel) so they no longer overlap.
• New x_angle argument on plot_io_parcoo(), plot_io_heatmap(), plot_cem_heatmap(), plot_cem_weights_heatmap() and plot_io_distributions() to rotate long x-axis tick labels for readability.
• A single DMU passed to labels now fades the rest of the plot into a focus view (keeping the chosen DMU’s sub-network / trajectory); the fade argument tunes the fade level or disables it.

deaviz 0.1.0

• First release: a from-scratch rebuild of the DEA-Viz visualization methods as an R package.
• All functions are built on a single validated dea_data object and follow a compute_* / plot_* naming convention.
• Analysis: compute_efficiency(), compute_cross_efficiency(), compute_cross_efficiency_weights(), standardize_weights(), compute_multiplier_weights(), compute_som().
• Visualization: plot_efficiency_bar(), plot_efficiency_comparison(), plot_cross_efficiency(), plot_cem_unfolding(), plot_cross_efficiency_weights_heatmap(), plot_pca_biplot(), plot_mds(), plot_porembski_network(), plot_panel_biplot(), plot_som(), plot_som_components(), plot_costa_frontier(), plot_parallel_coordinates(), plot_3d_scatter(), plot_histograms(), plot_dotplots(), plot_pairwise_scatter(), plot_input_output_heatmap().
• Ships the chinese_cities example dataset (35 cities, 3 inputs, 3 outputs).
• Consistent, colour-blind-safe visual style across all plots: Okabe-Ito qualitative palette, viridis sequential palette, and a shared minimal theme.