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)
1 maintainer
Metadata
1 maintainer
Release files for AutomatedCleaning 1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| automatedcleaning-1.2.tar.gz | 29.7 kB | Without provenance | Details for automatedcleaning-1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| automatedcleaning-1.2-py3-none-any.whl | Python 3 | none | any | Details for automatedcleaning-1.2-py3-none-any.whl |
Total release size: 58.7 kB
Release files / automatedcleaning-1.2.tar.gz
| Download URL | automatedcleaning-1.2.tar.gz |
|---|---|
| Size | 29.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.11.9
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Release files / automatedcleaning-1.2-py3-none-any.whl
| Download URL | automatedcleaning-1.2-py3-none-any.whl |
|---|---|
| Size | 29.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.9
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Security for AutomatedCleaning 1.2
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None of the files in this release were uploaded with provenance metadata.
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