Metadata-Version: 2.4
Name: dataaudit-tool
Version: 0.1.0
Summary: Automated data quality audit tool for CSV files and DataFrames
Author-email: Usman Ahmad <musmanahmad78@gmail.com>
Project-URL: Homepage, https://github.com/Usmana74/dataaudit
Keywords: data,audit,eda,cleaning,preprocessing,machine learning
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.3
Requires-Dist: numpy>=1.21
Requires-Dist: scipy>=1.7
Requires-Dist: fpdf2>=2.7

# dataaudit

Automated data quality audit library for CSV files and pandas DataFrames.

## Install
pip install dataaudit

## Usage
import dataaudit as da

# Full audit with optional PDF export
da.run("your_data.csv")

# Individual functions
da.summary("your_data.csv")
da.missing("your_data.csv")
da.duplicates("your_data.csv")
da.outliers("your_data.csv")
da.skewness("your_data.csv")
da.cardinality("your_data.csv")
da.dtypes("your_data.csv")
da.correlation("your_data.csv")
da.unique_values("your_data.csv")
da.value_counts("your_data.csv", "column_name")
da.memory_usage("your_data.csv")

# Works with DataFrames too
import pandas as pd
df = pd.read_csv("data.csv")
da.run(df)
