Skip to main content

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)

Metadata

Release files for dataaudit-tool 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dataaudit-tool 0.1.1
File Size Uploaded Provenance Actions
dataaudit_tool-0.1.1.tar.gz 6.0 kB Without provenance Details for dataaudit_tool-0.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dataaudit-tool 0.1.1
File Interpreter ABI Platform Actions
dataaudit_tool-0.1.1-py3-none-any.whl Python 3 none any Details for dataaudit_tool-0.1.1-py3-none-any.whl

Total release size: 12.7 kB

Release files / dataaudit_tool-0.1.1.tar.gz

Download URL dataaudit_tool-0.1.1.tar.gz
Size 6.0 kB
Tags Source
SHA-256 checksum
How to use checksums
30f973cfe0ba1416f0eb6f051f305c4b7754cfd265ca9d3ffd7aa8827c81bcb5
BLAKE2b-256 checksum
How to use checksums
b75168cb6d450c796ad249753073c0925d4f242eb003dd1b353d781d12d35184
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.7

Release files / dataaudit_tool-0.1.1-py3-none-any.whl

Download URL dataaudit_tool-0.1.1-py3-none-any.whl
Size 6.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
85326bccf4dac085bf694ca41ee44cc744d31df81c9049155298eea8e9fcacc0
BLAKE2b-256 checksum
How to use checksums
03c765e7335e3f1c0747f1041418c5caa331492abb32fc95bda65420b94c2339
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.7

Security for dataaudit-tool 0.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page