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RSK World
ecommerce-customers
RSK World
ecommerce-customers
E-commerce Customer Dataset - Customer Segmentation + Marketing Analytics + Customer Behavior Analysis
ecommerce-customers
  • __pycache__
  • .gitignore583 B
  • GITHUB_RELEASE_INSTRUCTIONS.md5.2 KB
  • ISSUES_FIXED.md4.3 KB
  • LICENSE1.4 KB
  • LICENSE.txt1.4 KB
  • README.md13.1 KB
  • RELEASE_NOTES.md5.1 KB
  • analyze_customers.py13.2 KB
  • customer_segmentation.py8.4 KB
  • ecommerce_customers.csv19.9 KB
  • generate_enhanced_dataset.py7.1 KB
  • index.html26.6 KB
  • queries.sql21.5 KB
  • requirements.txt250 B
  • test_dataset.py4 KB
  • visualize_data.py11.4 KB
GITHUB_RELEASE_INSTRUCTIONS.md
GITHUB_RELEASE_INSTRUCTIONS.md
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GITHUB_RELEASE_INSTRUCTIONS.md

# GitHub Release Instructions

## ✅ What Has Been Completed

### 1. Git Repository Setup
- ✅ Git repository initialized
- ✅ All project files committed
- ✅ Remote repository added: https://github.com/rskworld/ecommerce-customers.git
- ✅ All files pushed to `main` branch
- ✅ Release tag `v1.0.0` created and pushed

### 2. Files Pushed to GitHub
- ✅ `ecommerce_customers.csv` - Main dataset (40 features, 100 customers)
- ✅ `analyze_customers.py` - Comprehensive analysis script
- ✅ `customer_segmentation.py` - Clustering analysis script
- ✅ `visualize_data.py` - Data visualization script
- ✅ `generate_enhanced_dataset.py` - Dataset generation script
- ✅ `test_dataset.py` - Data quality test script
- ✅ `queries.sql` - 50 SQL queries
- ✅ `index.html` - Interactive demo page
- ✅ `README.md` - Complete documentation
- ✅ `LICENSE` & `LICENSE.txt` - MIT License
- ✅ `RELEASE_NOTES.md` - Release documentation
- ✅ `ISSUES_FIXED.md` - Issues documentation
- ✅ `requirements.txt` - Python dependencies
- ✅ `.gitignore` - Git ignore rules

### 3. Tag Created
- ✅ Tag: `v1.0.0`
- ✅ Tag message: "Initial release: E-commerce Customer Dataset with 40 enhanced features"
- ✅ Tag pushed to GitHub

---

## 📋 Next Steps: Create GitHub Release

To create a release on GitHub with release notes:

### Option 1: Using GitHub Web Interface (Recommended)

1. **Go to your repository:**
- Visit: https://github.com/rskworld/ecommerce-customers

2. **Navigate to Releases:**
- Click on "Releases" in the right sidebar
- Or go directly to: https://github.com/rskworld/ecommerce-customers/releases

3. **Create New Release:**
- Click "Create a new release" or "Draft a new release"

4. **Fill Release Details:**
- **Tag version:** Select `v1.0.0` (or type `v1.0.0`)
- **Release title:** `E-commerce Customer Dataset v1.0.0 - Initial Release`
- **Description:** Copy and paste from `RELEASE_NOTES.md` or use the content below

5. **Release Description (Copy this):**

```markdown
# 🎉 E-commerce Customer Dataset v1.0.0 - Initial Release

## Overview

This is the initial release of the **E-commerce Customer Dataset** - a comprehensive dataset with 40 enhanced features designed for advanced customer analytics, machine learning, and marketing insights.

## ✨ Key Features

### Dataset
- **100 Customers** with complete behavioral data
- **40 Enhanced Features** including:
- Customer Lifetime Value (CLV)
- Payment method preferences (6 types)
- Loyalty tier system (5 tiers)
- Social media engagement metrics
- Email marketing metrics (open rates, CTR)
- Customer satisfaction scores
- Geographic region data (5 regions)
- Mobile app usage tracking
- Cart abandonment rates
- Discount usage patterns
- Referral source tracking (7 sources)
- And 28+ more unique features

### Analysis Tools
- **3 Python Analysis Scripts:**
- `analyze_customers.py` - Comprehensive data analysis
- `customer_segmentation.py` - Advanced clustering (K-Means, DBSCAN, Hierarchical)
- `visualize_data.py` - 7 different visualization types

### SQL Queries
- **50 Ready-to-Use SQL Queries** covering all aspects of customer analytics

### Documentation
- Complete README with examples
- Interactive HTML demo page
- Test scripts for data quality

## 🚀 Quick Start

```bash
# Install dependencies
pip install -r requirements.txt

# Run analysis
python analyze_customers.py
python customer_segmentation.py
python visualize_data.py
```

## 📊 Use Cases

- Customer Segmentation
- Marketing Analytics
- Recommendation Systems
- Churn Prediction
- Customer Lifetime Value Calculation
- Targeted Marketing Campaigns

## 📄 License

MIT License - See LICENSE file for details.

**Copyright (c) 2026 RSK World**

## 🔗 Links

- **Website:** https://rskworld.in
- **Email:** help@rskworld.in
- **Phone:** +91 93305 39277

---

**Full release notes available in RELEASE_NOTES.md**
```

6. **Publish Release:**
- Check "Set as the latest release" (if this is your first release)
- Click "Publish release"

### Option 2: Using GitHub CLI

If you have GitHub CLI installed:

```bash
gh release create v1.0.0 \
--title "E-commerce Customer Dataset v1.0.0 - Initial Release" \
--notes-file RELEASE_NOTES.md
```

---

## 📝 Release Summary

**Tag:** v1.0.0
**Release Title:** E-commerce Customer Dataset v1.0.0 - Initial Release
**Status:** Tag created and pushed, ready for release creation

---

## ✅ Verification

To verify everything is pushed correctly:

1. Visit: https://github.com/rskworld/ecommerce-customers
2. Check that all files are visible
3. Check tags: https://github.com/rskworld/ecommerce-customers/tags
4. You should see tag `v1.0.0`

---

## 🎯 What's Included in This Release

- ✅ Complete dataset with 40 features
- ✅ 3 Python analysis scripts
- ✅ 50 SQL queries
- ✅ Interactive HTML demo
- ✅ Complete documentation
- ✅ Test scripts
- ✅ MIT License
- ✅ Release notes

---

**All files have been successfully pushed to GitHub!**

The repository is ready for you to create the release on GitHub's web interface.

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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