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AutomatedCleaning

AutomatedCleaning is a Python library for automated data cleaning.It helps preprocess and analyze datasets by handling missing values, outliers, spelling corrections, and more.

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Features

  • Supports both large (100+ GB) and small datasets
  • Detects and handles missing values and duplicate records
  • Identifies and corrects spelling errors in categorical values
  • Detect outliers
  • Detects and fixes data imbalance
  • Identifies and corrects skewness in numerical data
  • Checks for correlation and detects multicollinearity
  • Analyzes cardinality in categorical columns
  • Identifies and cleans text columns
  • Detect JSON-type columns
  • Detect and mask PII types of columns
  • Performs univariate, bivariate, and multivariate analysis

Installation

pip install AutomatedCleaning

Usage

import automatedcleaning as ac
df = ac.load_data("dataset.csv")
df_cleaned = ac.clean_data(df)

Metadata

Release files for AutomatedCleaning 1.4

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Source distribution for AutomatedCleaning 1.4
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automatedcleaning-1.4-py3-none-any.whl Python 3 none any Details for automatedcleaning-1.4-py3-none-any.whl

Total release size: 58.7 kB

Release files / automatedcleaning-1.4.tar.gz

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