VA_Project

This repo is for VA VA_Project

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1. For Consumers: Best Hotels & Area Visualizations

These visualizations help users find the best hotels and understand the hotel landscape in a given location.

Geospatial Visualizations

• Interactive Hotel Map 📍

  • Plot all hotels on a geo map with color-coded markers (green for high ratings, red for low ratings).
  • Clicking on a marker shows hotel details, reviews, and pricing.

• Hotel Heatmap 🔥

  • A heatmap showing the density of highly-rated hotels in a city or area.

Ranking & Reviews

• Top 10 Best-Rated Hotels 🏆

  • A bar chart showing the highest-rated hotels in a selected area.

• Histogram of Hotel Ratings 📊

  • Shows the distribution of hotel review scores in a region.

• Sentiment Analysis (Word Cloud & Bar Chart) 💬

  • Word clouds for common words in positive & negative reviews.
  • A bar chart of the most frequent complaints & praises.

Consumer Preferences

• Pie Chart of Reviewer Nationalities 🌍

  • Helps users see which hotels are popular among international travelers.

• Average Price vs. Review Score Scatter Plot 💰

  • Helps users find the best value-for-money hotels.

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2. For Hotel Owners: Competitor Analysis & New Location Insights

These visualizations help hotel owners analyze their competitors and explore potential new locations.

Competitor Analysis

• Competitor Pricing & Rating Comparison 📊

  • A scatter plot of hotel prices vs. review scores to compare competitors.

• Bar Chart of Total Reviews per Competitor 📈

  • Shows which hotels receive the most reviews (indicating popularity).

• Customer Complaint Analysis 🚨

  • A bar chart of common negative review words for competitors.

New Location Analysis

• Best Areas for New Hotels (Heatmap & Cluster Analysis) 🏨

  • Identify underserved areas where good hotels are missing.
  • Use clustering techniques to highlight potential locations for a new hotel.

• Hotel Demand Trend Over Time (Line Chart) ⏳

  • Show the growth of hotel reviews in a city over time to identify rising demand.

• Comparison of Nearby Hotel Ratings (Box Plot) 📦

  • Compare hotel ratings in different parts of the city.

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Implementation Strategy

• Frontend: Display these visualizations in an interactive web dashboard (React + D3.js / Chart.js).
• Backend: Use Python (Flask/Django) with Folium, Plotly, Matplotlib, and NLP (for sentiment analysis).
• Data Sources: Combine hotel reviews with real-time pricing from APIs (e.g., Booking.com, Google Places).