Team : Aastha Arora, Dianne Jardinez, Duong Luu, Ritika Bhansali, and Swarna Guntaka
Website Link: Olympics Project Website
Presentation (Google slides)
Data Source : Kaggle Olympics Dataset
Data Visualizations using Javascript :
- 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
Data Analysis :
- 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
Medal Prediction using Machine Learning Models :
- Linear Regression
- ARIMA
- Logistic Regression
Project scope :
- Predicting Gold, Silver, Bronze and Total Medals for USA for Tokyo 2020 Olympics
- Predicting Gold, Silver, Bronze and Total Medals for Top 25 Countries for Tokyo 2020 Olympics
- Predicting Olympic Medalists in all Olympic Sports in 2020
To Run through Flask: Go to readme_database_connection.md in Flask API directory inside database directory