https://github.com/siddhi-c19/tourism_sid_tournaut

A comprehensive analysis of tourism data of various countries
https://github.com/siddhi-c19/tourism_sid_tournaut

data-science dataset mathplot mathplotlib numpy plotly statistics streamlit

Last synced: about 1 month ago
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A comprehensive analysis of tourism data of various countries

• Host: GitHub
• URL: https://github.com/siddhi-c19/tourism_sid_tournaut
• Owner: siddhi-c19
• Created: 2024-12-30T07:38:25.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-30T07:48:10.000Z (over 1 year ago)
• Last Synced: 2025-05-30T02:45:06.424Z (about 1 year ago)
• Topics: data-science, dataset, mathplot, mathplotlib, numpy, plotly, statistics, streamlit
• Language: Python
• Homepage: https://tourismsiddhi-iimr.streamlit.app/
• Size: 577 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Tourism Analytics Dashboard

This project is an interactive dashboard for analyzing and visualizing tourism-related data using data analytics and machine learning. It provides insights into tourism's economic impact, forecasts key metrics, and simulates scenarios to assist policymakers, tourism boards, and stakeholders.

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## Features

- **Tourism Contribution to GDP:**

  Visualize the contribution of tourism to GDP across countries and regions.

- **Economic Impact Analysis:**

  Compare tourism receipts and expenditures to understand net contributions.

- **Predictive Analytics:**

  Use LSTM models to forecast metrics like tourism arrivals and receipts.

- **Impact Simulator:**

  Simulate the economic impact of changes in tourism metrics.

- **Exploratory Data Analysis (EDA):**

  Gain insights into key tourism and economic indicators.

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## Technologies Used

- **Frontend:** Streamlit

- **Visualization:** Plotly, Seaborn

- **Data Processing:** Pandas, NumPy

- **Machine Learning:** Scikit-learn, TensorFlow

- **Backend:** Python

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