Releases: johnmartins/mdac
Releases · johnmartins/mdac
Version 1.17.3
- Improved overall stability
Version 1.17.1
- Much greater flexibility under "plot options" for manipulating the paddings, margins, and axis of the PCP plot
- CTRL+click on an axis to flip it
- SHIFT+click on an axis to color code based on that axis
- Categorical data can now also be flipped
- CTRL+click on a filter in the PCP plot to delete that filter
Version 1.16.0
- Ticks now have backgrounds to make them more visible. The transparency of this background can be adjusted under "plot options"
- Axes now have a more visible "hitbox" making it more understandable when it is clickable
- Ticks no longer register pointer events to prevent miss-clicks
- All checkboxes can now be ticked by clicking their labels
- All form items (except for selectors) now have dedicated components for simplified styling
- Updating an axis using the "Modify axis" form can now be done by pressing "enter"
- More uniform font-size in side menu
- Home logo can now be clicked to navigate back to the PCP
v1.12.1
- Export filters as CSV
- Fixed bug that caused exported data to have a json-extension instead of a csv-extension
v1.11.0 - Batch rendering release
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Adjusted positioning and visibility of loading messages.
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Rasterized rendering now loads in batch, making it more visible that it is loading the data, and also slightly faster in some scenarios.
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Minor performance tweaks for rasterized rendering.
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Changing export type now also changes rendering type.
v1.10.0
- Fixed issue with exporting to SVG where some software would crop the resulting SVG file
- Layout and theme overhaul
- Export to CSV
- Side menu organization
v1.9.1
- Updated citation file
v1.9.0
- Similarity analysis
- Updated linter settings
- Worker in place to offload computationally expensive tasks (not yet in use)
v1.8.0
Version 1.8.0 improves the Data view. Features have been added to enable sorting data, moving categories (left and right in PCP), and disabling categories. All of this can be done through the Data view.
Additionally, the styling of the data view has been significantly improved for increased usability.
v1.6.0
- Rasterized rendering feature enabling the visualization of N<=100000 datasets
- Users can select rendering method to suit their specific needs
- Users can select raster resolution to improve quality or performance
- MDAC automatically adjusts rendering and resolution depending on dataset size
- Improved loading animation