Finding the Average of Last 25% Values from a Given Input Range in Pandas

Applying Weighted Mean Across DataFrame While Retaining Information from Dropped Factor Columns

Understanding NA Values in R DataFrames and Statistical Calculations Best Practices for Handling Missing Data in R

Understanding .mean() Method from .pct_change() Returns NaN Value

Avoiding NaN Values in Matrix Normalization for Robust Pairwise Comparisons