AutomatedCleaning 1.1

Automated Data Cleaning Library

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.

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)