Answer Posted / Hiba Jainab
In Python, missing values are typically represented by NaN (Not a Number) for numerical data and NaN or None for categorical data. In R, missing values are also represented by NA for both numerical and categorical data. To handle these missing values, you can use various methods like mean imputation (filling the missing value with the mean of the column), median imputation (filling the missing value with the median of the column), or using advanced techniques like k-nearest neighbors or multiple imputation.
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