Sri Lanka Tourism Analysis & Forecasting

Total Monthly arrivals Graph
Key country trends
Year on Year Comparison
Summary
Time Series graphs

Project Information

  • Category: Data Analysis
  • March 2025
  • More details in: Github

Sri Lanka Tourism Analysis & Forecasting

This project analyzes and forecasts tourist arrivals to Sri Lanka using historical data from major countries. It applies data science techniques and time series forecasting to uncover tourism trends and provide actionable insights.

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Objectives:

  • Understand tourism trends and seasonal patterns
  • Predict future tourist arrivals by country
  • Create interactive tools for data exploration and reporting

Tools & Techniques: Python, Pandas, SARIMA, Plotly, Dash

Key Features:

  • Data Cleaning & Preparation for consistent time series analysis
  • Exploratory Data Analysis (EDA) with visual insights
  • Time Series Forecasting using SARIMA models
  • Interactive Dashboards for user-driven data exploration
  • Multi-country Focus: India, China, Russia, UK, Germany, and others