Skip to main content

A tool to check data quality against predefined standards and generated data standards if needed.

Project description

Data Quality Tool

Overview

The Data Quality Tool is designed to help you check and ensure the quality of your data by comparing it against defined standards. It can also generate a data value standard file based on manual input or from a CSV data file.

Features

  • Check and Export Data Quality Log:
    • Checks for missing variables
    • Checks for value mismatches based on defined standards
  • Generate Data Value Standard File:
    • Generate from manual input
    • Generate from an existing CSV data file

Installation

To install this package, ensure you have pip version 24:

# Upgrade pip to version 24
pip install --upgrade pip==24

Then install the package:

pip install data-standards-check

Usage

  1. Put your all the data in one folder
  2. Run the tool in sh
  3. The analysis log will be automatically generated under the new data folder
# Check data quality and export log
data_check --check <data_folder_path>

# Generate data value standard file
data_check --generate <data_folder> [--input_file <input_file>]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data_standards_check-0.1.9.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

data_standards_check-0.1.9-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file data_standards_check-0.1.9.tar.gz.

File metadata

  • Download URL: data_standards_check-0.1.9.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.5

File hashes

Hashes for data_standards_check-0.1.9.tar.gz
Algorithm Hash digest
SHA256 b40012de0ed594250d59698ef171a49a27d6ad08e6df728c355d5e2eb4795693
MD5 53378064a2996ed65b742b325de23ced
BLAKE2b-256 ad6505a8dd350c77f97d7e6a9a34934bb65467be1a3b34f23cccbefe18d52dea

See more details on using hashes here.

File details

Details for the file data_standards_check-0.1.9-py3-none-any.whl.

File metadata

File hashes

Hashes for data_standards_check-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 b0a71317b231707224ef11431ce0ebe7a29d7b34641df01aedb697f3035ec9d4
MD5 1b9b88bb3f8ce394a9cc27243dff9b20
BLAKE2b-256 c7a8aa653fe2b04f44e16632b004a76acfe60e720327d5acc7f214aba4caf875

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page