Metadata-Version: 2.1
Name: DataQualityFrameworkGovernance
Version: 0.0.6
Summary: Data Quality Framework Governance is a structured approach to assessing, monitoring, and improving the quality of data.
Author-email: Rajith Prabhakaran <rajith.prabhakaran@yahoo.com>
Project-URL: Homepage, https://github.com/RajithPrabakaran/DataQualityFrameworkGovernance
Project-URL: Bug Tracker, https://github.com/RajithPrabakaran/DataQualityFrameworkGovernance/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Data Quality Framework Governance (DQFG)
  
**Data Quality Framework Governance** is a structured approach to assessing, monitoring, and improving the quality of data.

An effective **Data Quality Framework** considers these dimensions and integrates them into a structured approach to ensure that data serves its intended purpose, supports informed decision-making, and maintains the trust of users and stakeholders.  

**Data Quality** is an ongoing process that requires continuous monitoring, assessment, and improvement to adapt to changing data requirements and evolving business needs.

**Package structure**

> ***Example:*** *To call functions from the library.*
> 
> from Uniqueness import duplicate_rows
>
> duplicate_rows(dataframe)

**1. Completeness**
- ***missing_values*** : Count the number of missing values in a DataFrame by passing dataframe as a parameter.
- ***completeness_percentage*** : Percentage of missing values in a DataFrame by passing dataframe as a parameter.

**2. Uniqueness**

- ***duplicate_rows*** : Identify and display duplicate rows in a dataset by passing dataframe as a parameter.

**3. Datastats**  

- ***count_rows*** : Count the number of rows in a DataFrame by passing dataframe as a parameter.
- ***count_columns*** : Count the number of columns in a DataFrame by passing dataframe as a parameter
- ***count_dataset*** : Count the number of rows & columns in a DataFrame by passing dataframe as a parameter.

 
**Supporting python libraries:**
- Pandas


[Homepage](https://github.com/RajithPrabakaran/DataQualityFrameworkGovernance)
[Bug Tracker](https://github.com/RajithPrabakaran/DataQualityFrameworkGovernance/issues)
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