README.md

---
title: MySpace Ooty Analytics Dashboard
emoji: 🏨
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: "1.28.0"
python_version: "3.11"
app_file: streamlit_app/app.py
pinned: false
license: mit
---

# 🏨 MySpace Ooty Holiday Inn - Analytics Dashboard

An interactive data analytics dashboard for MySpace Holiday Inn in Ooty, built with Streamlit and Plotly. This dashboard provides comprehensive insights into booking patterns, revenue analysis, and operational metrics.

## 🌟 Features

### 📊 Interactive Visualizations
- **Real-time KPI Metrics**: Track key performance indicators at a glance
- **Dynamic Filtering**: Filter data by year, month, and booking status
- **Responsive Charts**: Beautiful, interactive Plotly charts that work on all devices

### 📈 Analytics Capabilities
- **Overview Dashboard**: Quick summary of business metrics and trends
- **KPI Analysis**: Detailed performance indicators and metrics
- **Data Exploration**: Deep dive into your booking data
- **Trend Analysis**: Identify patterns and seasonal variations
- **Custom Reports**: Generate and export personalized reports

### 📱 Device Compatibility
- Fully responsive design
- Works on desktop, tablet, and mobile devices
- Compatible with all modern browsers (Chrome, Firefox, Safari, Edge)

## 🚀 How to Use

1. **Navigation**: Use the sidebar to navigate between different sections
2. **Filters**: Apply filters to customize your view and analysis
3. **Visualizations**: Interact with charts by hovering, clicking, and zooming
4. **Export**: Download reports in CSV, Excel, or PowerPoint format

## 📊 Dashboard Sections

### 1. Overview
Get a quick summary of key metrics including:
- Total bookings and revenue
- Average length of stay
- Revenue per booking
- Monthly booking distribution
- Day-of-week patterns
- Holiday vs regular season analysis

### 2. KPIs & Metrics
View detailed performance indicators:
- Comprehensive KPI summary table
- Performance analysis
- Weekend and holiday booking percentages

### 3. Data Exploration
Explore your data in depth:
- Dataset overview and statistics
- Sample data preview
- Column-wise statistical analysis
- Missing value detection

### 4. Trends & Analysis
Identify patterns and trends:
- Monthly booking trends
- Revenue trend analysis
- Seasonal variations
- Time-series visualizations

### 5. Custom Reports
Generate personalized reports:
- Multiple report types
- Export in various formats (CSV, Excel, PowerPoint)
- Configurable date ranges and filters

## 💡 Tips for Best Experience

- **Use Filters**: Customize your analysis by selecting specific years, months, or booking statuses
- **Hover for Details**: Hover over charts to see detailed information
- **Mobile View**: Swipe left/right on mobile devices to navigate charts
- **Export Data**: Download filtered data for offline analysis

## 🏨 About MySpace Holiday Inn

Located in the beautiful hill station of Ooty, MySpace Holiday Inn offers comfortable accommodation and excellent hospitality.

**Contact Information:**
- 📍 Head Office: Kotagiri – 643217
- 📞 Phone: +91 82206 62206 | +91-6369052954 | +91-6369973006
- 📧 Email: myspaceholidayinn@gmail.com
- 📱 WhatsApp: +916381911228

**Timings:**
- Check-In: 12:00 PM
- Check-Out: 10:00 AM

## 🛠️ Technology Stack

- **Frontend**: Streamlit
- **Visualization**: Plotly, Matplotlib, Seaborn
- **Data Processing**: Pandas, NumPy
- **Analysis**: Scikit-learn, SciPy
- **Export**: python-pptx, openpyxl

## 📝 License

MIT License - Feel free to use and modify for your needs.

## 🤝 Support

For questions or support, please contact:
- Email: myspaceholidayinn@gmail.com
- Phone: +91 82206 62206

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**Made with ❤️ for MySpace Holiday Inn, Ooty**

*Data Analytics Dashboard | Powered by Streamlit and Plotly*