EU-ECONOMY---Data-Visualization
THE EUROPEAN UNION ECONOMY—Data-Visualization
Website: https://eu-economic-analysis.herokuapp.com/
GitHub account used for Heroku deployment: <a href=https://github.com/kfmatovic716/EU-ECONOMY—HerokuDeploy.git>https://github.com/kfmatovic716/EU-ECONOMY—HerokuDeploy.git </a>
The SQLing Pythons
MEMBERS: Erin Babamoto | Enrique Gallego | Katherine Matovic | James Milne | Rasheed Omolabi
SUBJECT OF DATA EXPLORATION
European Union countries and development indicators that drive their economic wealth. Some of these economic indicators are the Gross Domestic Product (GDP), Consumer Price Index (CPI), and unemployment rates
MAIN OBJECTIVES
- To utilize a database management system in producing data visualizations of the the European Union’s population and its economic development indicators using Python, Flask, HTML/CSS, JavaScript, Leaflet & D3
- To create a dashboard with some level of user-driven interaction
DATA SOURCES
- The World Bank
- website: https://datatopics.worldbank.org/world-development-indicators/themes/economy.html
- Population data (csv)
- Unemployment rate data (csv)
- GDP data (csv)
- CPI data (csv)
- Official European Union Website
- website: https://europa.eu/european-union/about-eu/countries_en
- Current list of European Union countries
LIBRARIES
- Python/Pandas
- Flask App
- SQL
- JavaScript
- Masonry JavaScript Library
- Leaflet
- D3
- Bootstrap
- Jupyter
VISUALIZATIONS
Choropleth (using Leaflet/MapBox): Population by EU Country
Bar Chart Race: Gross Domestic Product per capita (D3)
Animated Beeswarm: Gross Domestic Product (per capita) vs Unemployment Rates (D3)
Animated Bubble Chart: Inflation Rate vs Unemployment Rates (D3)
