GDP Analysis and Interactive Visualizations

Exploratory analysis and interactive visualizations of GDP per capita (nominal USD) using the included World Bank's CSV dataset (gdp_pc_data.csv). This repository contains Jupyter notebooks and python scripts for static plotting and interactive Dash apps that let you explore GDP-per-capita trends.

Table of Contents

• Overview
• Notebooks & Key Files
• Installation
• Examples
• License
• Contributing
• Author & Contact

Overview

This project contains a few jupyter notebooks that allow the user to explore interesting GDP per capita trends in an interesting and engaging way.

Notebooks & Key Files

• gdp_plots.ipynb: Static exploratory plots using pandas, seaborn and matplotlib (time series comparisons between countries).
• gdp_graph_choice.ipynb: Interactive Dash app to plot GDP-per-capita time series for selected countries and year ranges (uses plotly.express, dash, and dash_bootstrap_components).
• gdp_maps.ipynb: Interactive Dash choropleth maps for 2024 GDP-per-capita (uses plotly.express, pycountry, and Dash components).
• gdp_pc_data.csv: Primary dataset used by the notebooks (included in this repository).
• assets/style.css: styling used by the notebooks or dashboards (if referenced).

Installation

1. Clone the repository

git clone https://github.com/Sebastijan-Dominis/gdp_analysis

2. Create and activate a python virtual environment

• If using Anaconda:

conda create -n gdp_analysis python=3.14 -y
conda activate gdp_analysis

3. Install the requirements

pip install -r requirements.txt

4. Open and run the jupyter notebooks

• gdp_plots.ipynb — run the cells to generate static visualizations.
• gdp_graph_choice.ipynb — run all cells to start the interactive Dash plotter.
• gdp_maps.ipynb — run all cells to start the interactive choropleth maps.

When the Dash apps are started from the notebooks you will typically see a local server URL printed in the notebook output (e.g. http://127.0.0.1:8050) — open that URL in your browser to interact with the app.

Running the Dash apps as scripts (optional)

• If you prefer to run the Dash apps as standalone Python scripts:

python gdp_graph_choice.py

python gdp_maps.py

Accessing the Dash apps online (optional)

• You can use try the Dash apps directly, without cloning this repository here:

1. GDP Graph Choice: https://gdp-analysis-2.onrender.com/
2. GDP Maps: https://gdp-analysis.onrender.com/

• Note that loading the page may take a few minutes

Examples

Static plots

Interactive plots

Interactive maps

License

• This repository includes a LICENSE file — please review it for terms of reuse.

Contributing

• Improvements and bug fixes welcome. Open an issue or submit a pull request with a clear description of the change.

Author & Contact

• Author: Sebastijan Dominis
• Contact: sebastijan.dominis99@gmail.com