Curious Problem Solver | Data Analyst | Data Science Enthusiast | Python Lover
View My LinkedIn Profile
View My Curriculum Vitae
Project Description:
Understanding the trends in Covid-19 cases is rarely as simple as viewing cumulitive cases and daily new cases.
This application provides a easy tool to view trends in cases , deaths and new cases on a daily level by province.
It is available to demo at the following link. Demo model
Click here to View .py or .ipynb files relating to this project
The objective of this exploratory data tool is to provide insight to the user on covid trends in there province and nationally
For input, the user can set the the date range and the province they would like to see.
A default of the last 30 days was chosen to alow better reading and quicker rendering.
The following Charts are provided: - Total Cases - Total Deaths - Total Active Cases - Cumulitive Cases
Additionally also Tables are provided: - Total Cases -Last week vs This week changes -Population Scales measures
The application is Python driven using pandas as the main data manipulation tool. Altair is used as the graphing tool. Streamlit is used to create the application and interactive widgets. Heroku used as a production server.
This application is runs on external data source as referenced in the application.
Packages used : Streamlit | Altair | Pandas |