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VizModules 0.2.0

• Created the Figure Builder app so that users can dynamically construct multi-panel figures using different data sets and plot types on a single page. Allows for full page SVG export, source data dump organized per panel, and full customization of plot position and size.
• All *OutputUI() functions gained a resizable argument (default TRUE). When FALSE, the plot output is no longer wrapped in shinyjqui::jqui_resizable(), which avoids a redundant resize handle when the output is embedded in a container that already provides resizing (such as the Figure Builder app cards).
• Added a new plotthis_DotPlot module (plotthis_DotPlotInputsUI(), plotthis_DotPlotOutputUI(), plotthis_DotPlotServer(), and the plotthis_DotPlotApp() convenience wrapper) that wraps plotthis::DotPlot() for interactive dot plots, including a custom dot-size legend since plotly still lacks that capability.
• Added the example_markers dataset, a simulated single-cell marker-gene expression table (immune cell types × marker genes) used as the default example data for the DotPlot module.
• Added “Source Data” download button at the bottom of every module’s control panel. The button creates and downloads a ZIP file containing a self-contained HTML of the plotly plot, a CSV of the plot data (retrieved via plotly::plotly_data()), and for modules with statistics enabled (Box / Violin / yPlot), a table of the statistics info. Source downloads are now built from the exported collect_source_data() and create_source_download_handler() helpers, and each module server returns its source reactive so it can be reused (e.g. by the Figure Builder). Given source data is now required by many journals, this is important.
• Removed old interactive plot download button and associated helper function.
• Removed old dynamically hidden stats download button and associated logic, since stats are now included in the source download when applicable.
• Statistic helper functions are now exported allowing users to annotate plotly graphs with custom statistics: compute_pairwise_stats(), create_stat_annotations(), apply_stat_annotations(), generate_pair_strings(), and parse_pair_strings().
• Exposed empty_plot() for use as a placeholder, e.g. if parameters aren’t valid for a given plot type, to pass that info to user without ugly error messages.
• Faceting improvements - new internal helpers that control subplot spacing, subplot size, and facet_scale handling. This fixes much of the wonkiness for plots with many panels. Uniform inputs added for panel spacing across all modules.
• Axis titles now uniformly added as annotations to allow interactive repositioning.
• Condensed package wide workflows with simple helpers, e.g. .apply_title_layout(), resulting in significantly less jank.
• Axis adjustments are now properly reflected in axis/legend titles for appropriate modules, e.g. yPlot, scatterPlot, linePlot.
• Removed a handful of spurious/non-functional inputs, particularly for the dittoViz_scatterPlot module.
• Custom size.by legends added for plotthis_DotPlot and dittoViz_scatterPlot modules, since plotly does not yet support these.
• Update docstrings to reflect new inputs and features and clarify which parameters of underlying plotting functions may not be implemented.
• Various border fixes for faceted plots.

VizModules 0.1.1

• Minor DESCRIPTION and doc fixes for CRAN compliance.

VizModules 0.1.0

• Submitted to CRAN.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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