Package that allows both automated and customized treatment of missing values in datasets using Python.
Project description
This package allows both automated and customized treatment of missing values in datasets using Python. The treatments that are implemented in this package are:
- Listwise deletion
- Pairwise deletion
- Dropping variables
- Random sample imputation
- Random hot-deck imputation
- LOCF
- NOCB
- Most frequent substitution
- Mean and median substitution
- Constant value imputation
- Random value imputation
- Interpolation
- Interpolation with seasonal adjustment
- Linear regression imputation
- Stochastic regression imputation
- Logistic regression imputation
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