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This is a repo for Covid-19 dashboard I made using python and streamlit and deployed on Heroku.

License: Apache License 2.0

Python 99.17% Shell 0.83%

covid-19-dashboard's Introduction

🦠 Covid 19 Dashboard - A Dashboard Cum Web App 🦠

Checkout the dashboard app here -- https://covid-19-dashpy.herokuapp.com/
Please wait for 10-12 seconds for site to load initially.
You can view the dashboard demo video in covid_19_dashboard_video.mp4 file in this repo.

Coronaviruses or Covid-19 are a large family of viruses that may cause respiratory illnesses in humans ranging from common colds to more severe conditions such as Severe Acute Respiratory Syndrome (SARS) and Middle Eastern Respiratory Syndrome (MERS).

• 'Novel coronavirus' is a new, previously unidentified strain of coronavirus.

• The novel coronavirus involved in the current outbreak has been named SARS-CoV-2 by the World Health Organization (WHO).

• The disease it causes has been named “coronavirus disease 2019” (or “COVID-19”).

Prerequisites

You need to have the following dependecies before running the app:

  • pandas pip install pandas
  • numpy pip install numpy
  • scipy pip install scipy
  • plotly pip install plotly
  • streamlit pip install streamlit
  • folium pip install numpy
  • streamlit-folium pip install streamlit-folium
  • datetime pip install DateTime

Installing

Use the package manager to install Covid-19-Dashboard project

You can clone the repo :

gitclone https://github.com/SarthakRana/Covid-19-Dashboard.git

GitHub CLI :

gh repo clone SarthakRana/Covid-19-Dashboard

Usage

  1. Install all dependencies mentioned in Prerequisites.
  2. Open CLI/prompt and make sure Streamlit is installed by running the command streamlit --version. You should see something like this : Streamlit, version 0.67.1.
  3. Do this for all other dependencies as well just to make sure everything is in right place and you are good to go.
  4. Go to your working directory(where you have placed the .py file and other components) and open CLI.prompt there.
  5. Type in the following command and press Enter :
    streamlit run covid_19_dashboard.py
    Please wait for 5-10 seconds for command to run.
  6. A browser widow should open up with the app.
  7. Enjoy :)

Output

Here are some screenshots from the final dashboard

Roadmap

See the open issues for a list of proposed features (and known issues)(if any). If your issue is not listed in the already open issues, you can open up a new one.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project.
  2. Create your Feature Branch.
  3. Commit your Changes.
  4. Push to the Branch.
  5. Open a Pull Request.

Authors

NOTE : Your name will be added here if I merge your pull request.

  1. Sarthak Rana (https://www.linkedin.com/in/sarthakrana/)

covid-19-dashboard's People

Contributors

sarthakrana avatar rizki4106 avatar

Watchers

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