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