advanced_boxplot_viz - Initial Release

Release Notes - Version 1.0.0

I am excited to release Version 1.0.0 of Advanced Boxplot Visualization tool! 🚀

What's in this release? 📊 Customizable boxplots with significance bars 🔬 Statistical significance testing using t-test (assumes normal data distribution) 🛠 p-value correction using methods available in multipletests (e.g., FDR, Bonferroni) 🎨 Flexible customization: interquartile filtering, color palettes, axis labels, and more 📄 Publication-ready visualizations for research and presentations

Important Notes

⚠️ This version (1.0.0) only supports t-tests for group comparisons, assuming normal distribution of the data. 📌 If you require alternative statistical tests, modifications are needed in the function: _, p_value = ttest_ind(group1, group2, equal_var=True) inside collect_p_values function from advanced_box_viz/utils file

- Jupyter Notebook
Published by mafaves about 1 year ago