https://github.com/moon1ock/aqi_vs_corona

This is a class Data Science project where we, NYU students, attempt to uncover the relationships between the Corona case count and the AQI in the respective counties.
https://github.com/moon1ock/aqi_vs_corona

aqi data-science flask ncov-19

Last synced: about 2 months ago
JSON representation

This is a class Data Science project where we, NYU students, attempt to uncover the relationships between the Corona case count and the AQI in the respective counties.

• Host: GitHub
• URL: https://github.com/moon1ock/aqi_vs_corona
• Owner: moon1ock
• License: apache-2.0
• Created: 2020-11-14T10:53:53.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2020-12-10T21:00:28.000Z (over 5 years ago)
• Last Synced: 2025-03-14T20:46:31.036Z (over 1 year ago)
• Topics: aqi, data-science, flask, ncov-19
• Language: Jupyter Notebook
• Homepage:
• Size: 34.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# AQI _vs_ Corona

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/moon1ock/AQI_vs_Corona/blob/main/LICENSE)

This is a class Data Science project where we, NYU students, attempt to uncover the relationships between the Corona case count and the AQI in the respective states.

Assume Apache 2.0 license.

# Data

[Covid histroical by State from the Atlantic](https://covidtracking.com/data/download/all-states-history.csv)

[AQI by county from EPA](https://www.epa.gov/outdoor-air-quality-data)

# Visualization

Plotly

# Deployment

[Plotly Dash](https://dash.plotly.com/layout), Flask, Gunicorn, and Apache2

# Credits

Andriy Lunin, Daniella Aruina, Nurgazy Seidaliev

> _alphabetical._