analystx 0.1.1

📊 Advanced analytics and KPI engine for data-driven insights and intelligent business intelligence

📊 AnalystX

Advanced analytics and KPI engine for intelligent business intelligence and data-driven decision making.

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📌 Overview

AnalystX is a comprehensive Python library designed to streamline data analytics workflows. It provides out-of-the-box capabilities for data profiling, KPI calculation, intelligent insight generation, and professional report creation. Perfect for data scientists, business analysts, and developers seeking to enable data-driven decision making.

Why AnalystX?

• 🚀 Fast: Optimized for performance on large datasets
• 🧠 Smart: Automatically detects patterns and anomalies
• 📦 Complete: All-in-one analytics solution
• 🔧 Flexible: Highly extensible and customizable
• 📊 Professional: Create publication-ready reports

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✨ Features

Feature	Description
📈 Data Profiling	Automatic data quality checks, statistical analysis, and distribution analysis
🎯 KPI Engine	Flexible and extensible key performance indicator calculation with custom metrics
💡 Insight Engine	Generate actionable, business-ready insights from your data
📄 Report Generation	Create professional, formatted analytics reports automatically
🖥️ CLI Interface	Command-line tools for easy integration and automation
🔌 Extensible API	Build custom analyzers and metrics on our robust framework

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🚀 Installation

Via PyPI (Recommended)

pip install analystx

From Source (Development)

# Clone the repository
git clone https://github.com/sinoyon/analystx.git
cd analystx

# Install in editable mode with development dependencies
pip install -e ".[dev]"

# Run tests
pytest

Optional Dependencies

For documentation building:

pip install analystx[docs]

For full development setup:

pip install analystx[dev,docs]

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🎯 Quick Start

Basic Usage

import pandas as pd
from analystx import AnalystX

# Load your data
df = pd.read_csv('data.csv')

# Initialize AnalystX
analyzer = AnalystX(data=df)

# Run data profiling
profile = analyzer.profile()
print(profile.summary())

# Calculate KPIs
kpis = analyzer.calculate_kpis()
print(kpis)

# Generate insights
insights = analyzer.generate_insights()
for insight in insights:
    print(insight)

# Create a professional report
report = analyzer.create_report(output_format='html')
report.save('analytics_report.html')

Advanced Example

from analystx import AnalystX
from analystx.kpi_engine import KPIConfig

# Configure custom KPIs
kpi_config = KPIConfig()
kpi_config.add_metric('revenue_growth', formula='(current - previous) / previous * 100')
kpi_config.add_metric('customer_retention', formula='retained_customers / total_customers')

analyzer = AnalystX(data=df, kpi_config=kpi_config)

# Export insights to multiple formats
analyzer.create_report(output_format='pdf').save('report.pdf')
analyzer.create_report(output_format='excel').save('report.xlsx')

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📖 Command Line Interface

Access all features from the command line:

# Show help
analystx --help

# Profile a CSV file
analystx profile data.csv --output profile.json

# Generate a report
analystx report data.csv --format html --output report.html

# Calculate KPIs
analystx kpi data.csv --config kpi_config.json

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📚 Documentation

• Full Documentation - Comprehensive API reference and guides
• User Guide - Getting started and best practices
• API Reference - Detailed function and class documentation
• Examples - Jupyter notebooks with real-world examples

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🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest -v

# Run linting and formatting
black src/
isort src/
flake8 src/

# Type checking
mypy src/

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📋 Roadmap

• Real-time data streaming support
• Machine learning-based anomaly detection
• Interactive dashboards
• Multi-language support
• Cloud integration (AWS, GCP, Azure)
• Advanced forecasting models

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🐛 Bug Reports & Feature Requests

Found a bug or have an idea? Please open an issue on our GitHub Issues page.

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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👤 Author & Support

Developed by: Shariful Islam
Email: [e-mail]
GitHub: @sinoyon

Get Help

• 📖 Check the documentation
• 💬 Open a GitHub Discussion
• 🐛 Report a Bug

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⭐ Show Your Support

If you find AnalystX helpful, please consider:

• Starring this repository ⭐
• Sharing it with your network
• Contributing improvements
• Providing feedback and suggestions

Happy analyzing! 🚀