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Data Analysis using
Bootstrap-Coupled ESTimation
Analyze your data with effect sizes and beautiful estimation plots.
Robust and Beautiful
Statistical Visualization
Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one’s experiment/intervention, as opposed to a false dichotomy engendered by P values.
Shift from p-values to effect size and confidence intervals for richer data insights
Robust and elegant statistical visualizations for efficient information conveyance
Seamless integration with the scientific Python libraries for comprehensive data analysis
Flexible plot customization to meet diverse presentation needs
Promotes reproducibility with easy sharing of data and analysis code
Ongoing support and development through an engaged user community