Global Tourism Interactive Dashboard by Kris BruursGlobal Tourism Interactive Dashboard by Kris Bruurs

Global Tourism Interactive Dashboard

Kris Bruurs

Completed work

Data Visualizer

Make

Streamlit

Data

Global Tourism Dashboard

A portfolio project showcasing interactive data visualization and dashboard development skills using Streamlit and Plotly. This project demonstrates the ability to create dynamic, user-friendly dashboards with features like interactive world maps, dual-axis charts, and real-time filtering.

Project Overview

This interactive dashboard explores the relationship between global tourism revenue and GDP growth across different countries and years. While the focus is on demonstrating dashboard development capabilities rather than data perfection, the project showcases key skills in:

Interactive Visualizations: Choropleth maps with custom color scales and hover tooltips

User Interface Design: Multi-tab layouts, dropdowns, sliders, and responsive controls

Data Processing: ETL pipeline from raw data to dashboard-ready datasets

Multi-Chart Comparisons: Dual-axis line charts for country-specific trend analysis

Features

World Map Tab

Interactive choropleth map visualizing tourism revenue or GDP growth by country

Year slider to explore temporal changes

Metric selector to toggle between GDP growth and tourism revenue

Custom color scales and hover information

Country Comparison Tab

Dual-axis line chart comparing GDP growth and tourism revenue over time

Country selector to analyze specific nations

Clear trend visualization across multiple years

Technologies Used

Streamlit: Dashboard framework

Plotly: Interactive visualizations (choropleth maps, line charts)

Pandas: Data manipulation and processing

KaggleHub: Dataset download and management

Getting Started

Prerequisites

Python 3.8 or higher

Bash shell (Git Bash, WSL, or native Linux/Mac terminal)

Make utility

Installation & Running

Note: This project uses a Makefile and should be run in a Bash environment.

Clone the repository (or download the project files)

Install dependencies:

make requirements

Download the dataset:

make download_data

Transform the data:

make transform_data

Run the dashboard:

make dashboard

Open your browser and navigate to the URL shown in the terminal (typically http://localhost:8501)

Optional: Remove Data Files

To clean up downloaded data files:

make remove_data

Project Structure

interactive-tourisme-dashboard/
├── app.py                          # Main Streamlit dashboard application
├── download_data.py                # Script to download dataset from Kaggle
├── transform_data.py               # Data transformation pipeline
├── eda.ipynb                       # Exploratory data analysis notebook
├── requirements.txt                # Python dependencies
├── Makefile                        # Build automation
├── README.md                       # Project documentation
└── data/                           # Data directory (created on first run)
    ├── tourism_data.csv            # Raw downloaded data
    └── transformed_tourism_data.csv # Processed data

Data Source

The dataset is sourced from Kaggle: Global Tourism Revenue and GDP Growth Dataset

Note: This project prioritizes showcasing dashboard development skills. While the data provides meaningful insights, there may be minor inconsistencies or gaps in the dataset.