#  DataInsightX

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

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##  Overview

`DataInsightX` 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

You can install `DataInsightX` (once uploaded to PyPI) using:

```bash
pip install datainsightx
