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y1chi-z authored Feb 1, 2025
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# datamop

[![Documentation Status](https://readthedocs.org/projects/datamop/badge/?version=latest)](https://datamop.readthedocs.io/en/latest/)[![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-360/)[![codecov](https://codecov.io/gh/UBC-MDS/DataMop_package_group14/graph/badge.svg?token=F32xo7rWCj)](https://codecov.io/gh/UBC-MDS/DataMop_package_group14)
[![Documentation Status](https://readthedocs.org/projects/datamop/badge/?version=latest)](https://datamop.readthedocs.io/en/latest/)[![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-360/)[![codecov](https://codecov.io/gh/UBC-MDS/DataMop_package_group14/graph/badge.svg?token=F32xo7rWCj)](https://codecov.io/gh/UBC-MDS/DataMop_package_group14)[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

`datamop` is a data cleaning and wrangling package designed to streamline the preprocessing of datasets. Whether you meet missing values, inconsistent categorical columns or need scaling for numeric columns when dealing with data. `datamop` provides a simple and consistent solution to automate and simplify these repetitive tasks.
The following are core functions of this package:
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