datainsightx-raj 0.1.1

A lightweight data quality and visualization toolkit for pandas DataFrames

DataInsightX-Raj

A lightweight, beginner-friendly Python library for automated data quality checks and interactive visualizations.

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Overview

DataInsightX-Raj helps data engineers, analysts, and students quickly assess and visualize the quality of their datasets.

With just one command or a few lines of code, you can:

• Detect missing values
• Find duplicate rows
• Validate schema consistency
• Identify data drift between datasets
• Generate an interactive dashboard (Plotly + HTML)

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Why This Project?

I built this library to simulate a real-world data engineering task — validating and profiling data before analysis or model training.

This project demonstrates:

• Python packaging and CLI development
• Data validation and visualization skills
• Open-source best practices (README, tests, PyPI readiness)

Great to showcase on a fresher data engineer resume!

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Features

Category	Feature	Description
Data Quality	Missing Value Report	Identify missing values and their percentages
	Duplicate Detection	Detect duplicate rows
	Schema Validation	Check if data matches expected structure
	Data Drift	Compare statistics between two datasets
Visualization	Automated Dashboard	Generate interactive HTML reports
CLI Tool	datainsightx analyze file.csv	Run full analysis from the terminal

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Installation

Install the library from PyPI:

pip install datainsightx-raj