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Used a Python Flask-powered RESTful API with SQLAlchemy ORM queries to display visualizations with D3.js, Leaflet.js, Plotly.js, and Chart.js on Olympic dataset from 1896-2016

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Visualization Project: Olympics 1896 - 2016

Team : Aastha Arora, Dianne Jardinez, Duong Luu, Ritika Bhansali, and Swarna Guntaka

Presentation (Google slides)

Data Source : Kaggle Olympics Dataset

Rendered : Python Flask-powered RESTful API

Database : PostgreSQL with pgAdmin 4

Visualizations :

  • Racing Barchart with D3.js for SVG chart
  • Plotly.js Barchart
  • Leaflet.js Interactive Map
  • Leaflet.js Interactive Map with Choropleth layer
  • Plotly.js Line chart
  • Chart.js Barchart

Project scope :

  • Which top 10 countries had the highest medal count by year, by country and season, and by sport
  • What it takes to be at the top for 14 sports by gender for all Olympic years and Gold medallists
  • Which sports were popular
  • The relationship between medal count and country's GDP

GitHub Page - Home

Olympics Project Website - index

To Run through Flask : Go to readme_database_connection.md in database directory

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Used a Python Flask-powered RESTful API with SQLAlchemy ORM queries to display visualizations with D3.js, Leaflet.js, Plotly.js, and Chart.js on Olympic dataset from 1896-2016

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