explore-pointblank

Exploring Pointblank Python Package

Overview

This project demonstrates the use of Pointblank for Python - a powerful library for data validation, testing and documenting data quality. As a learning exercise, I applied data validation checks to a sample dataset from the FARS (Fatality Analysis Reporting System), focusing specifically on the Drugs data. The goal is to understand how to implement column-level validation rules, build a validation report, and ensure the integrity of real-world data using Python.

Data

Data used in this project comes from the NHTSA FARS data and can be accessed here.

Validation Report

The validation report generated from the pointblank package can be accessed via this URL.

How To Guide

```bash

Clone the repository

git clone https://github.com/anchalab/explore-pointblank.git

Move into the project directory

cd explore-pointblank

Install required packages

pip install -r requirements.txt

Start Jupyter Notebook

jupyter notebook

How to use

Navigate to the code/ directory in the Jupyter interface. Open and run the drugs_data_validation.ipynb file to explore the Pointblank validations.