Covid19-Streamlit-Dash

This Covid19 Dashboard provides are holistic analysis of the cases of the virus around the world and countrywise. It also provides a vaccination analysis administered worldwide.

The following tasks have been done to create this application

• TASK 1 : Performed data preprocessing and EDA to prepare dataset for proper analysis. Automatic data fetch from JHU dataset on github
• TASK 2 : Data visualization of the worldwide cases was carried out using plotly and altair : Confirmed, Recovered, Deaths. Additionally compared the top 10 countries with Covid 19 cases
• TASK 3 : Data visualization country-wise and province/state-wise was also done using plotly. Additionally a time series comparison was performed for various countries
• TASK 4 : Time Series Forecasting using Prophet was performed for predicting global cases
• TASK 5 : Vaccination Analysis was performed for worldwide, country-wise and vaccine-type wise. Inference from the analysis was noted
• TASK 6 : Deployed the Streamlit App in Heroku Cloud

How to run

Clone the repository and install dependencies:

git clone https://github.com/Srijha09/Covid19-Streamlit-Dash.git

pip3 install -r requirements.txt

Run the app using streamlit

streamlit run app.py

References

https://towardsdatascience.com/covid-19-data-processing-58aaa3663f6

https://github.com/Sayar1106/covid-dashboard

https://www.kaggle.com/pawanbhandarkar/covid-19-eda-man-vs-disease

https://facebook.github.io/prophet/