Boxplot Plotly Implementation

[Ahmad8864]

Summary

This PR introduces a new boxplot function in the visualization module. The function calculates summary statistics and uses those to create a Plotly boxplot. The function is designed to handle various configurations, including different layers, annotations, and log scale transformations.

Changes

• New boxplot Function:

  • Computes summary statistics (whislo, q1, med, mean, q3, whishi, fliers) for the specified features.
  • Supports optional annotations and layers.
  • Handles log scale transformations and outlier configurations (all, downsample, none).
  • Returns either a Plotly figure or an image based on the interactive parameter.
  • Optionally returns the computed metrics if return_metrics is set to True.

• Updated boxplot unit tests

  • Changed boxplot unit tests to ensure consistency between implementations and new features

• Integration in SPAC_Shiny/app.py

  • Updated the spac_Boxplot_1 and spac_Boxplot_2 functions to use the new boxplot function.
  • Added logic to handle the different figure types and returned metrics

Suggested Future Changes

• Break long legend strings using <br> to prevent chart from being shrunk
• Increase resolution of non-interactive plot using pio.to_image scale param

REMINDER: Change back the workflow image_to_use once kaleido is added

[Ahmad8864]

I can't create a new branch, so I've chosen the target branch as dev