NEWS
deaviz 0.1.0 (2026-07-02)
- New dataset
taiwanese_banks: a balanced panel of 22 Taiwanese commercial
banks over 2009-2011 (Kao & Liu, 2014, \doi{10.1016/j.omega.2013.09.001}),
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.
- 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.