Viewing data graphically to understand the impact of the Novel Coronavirus country-wise over time and get the big picture with information involving the number of new confirmed cases, deaths and the % increase in the value.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
The disease was first identified in 2019 in Wuhan, the capital of Hubei, China, and has since spread globally, resulting in the 2019–20 coronavirus pandemic. As the COVID-19 has huge potential implications, this project gives a preliminary platform to dive into the available data and gain insights.

John Hopkins University CSSE Novel Coronavirus (COVID-19) Cases data: https://github.com/CSSEGISandData/COVID-19

Bias: Selection bias on confirmed over those tested, as there are discriminatory forces that determine who gets tested - age, availability, price/demographic, and so on. These factors can change with time. Further, multiple countries are investing heavily to make the tests more available them, which also affects the report.

Covid Tracking Projects: https://covidtracking.com

Keywords

#COVID19
#covid19
#coronavirus
#CoronaVirus
#coronavirustexas
#Coronavirustexas
#coronavirusnewyork
#coronaviruscalifornia

More sources: https://www.linkedin.com/pulse/covid-19-data-sources-rajarshi-chattopadhyay/

• PySimpleGUI: for GUI
• geopy: to run the distance widget (from the PSG-Widgets repository)

pip3 install -r requirements.txt

• PySimpleGUI-exemaker: (Optional) to make executable GUI using pyinstaller.Reference

python3 app.py

If prompted, select settings and locations

• graphs: Each graph displays a header that shows the country name, the number of new cases/deaths in the last data point and the % increase this value represents.
  • bar plot of number cases
  • day-wise, max upto 63 previous days
  • country/region wise

• settings
  • confirmed cases or deaths
  • autoscaled or absolute value
  • number of days to display

• locations
  • country list
  • NOTE: no, of countries must be equal to no. of graphs

Saved in app.cfg

coronavirus_timeseries.R

The curve appears to be flattening, which is good.

Very few or no new cases, which is good.

Three major spikes followed by a consistent drop, which is good.

The curve exponentially increasing, which is concerning.

The curve increasing, but slower which is still concerning, with a glimmer of hope.

WHO

Download daily PDF files that have the "Situation Report" for the most up to date information.

PySimpleGUI.com

GUI tool based on the PySimpleGUI-COVID19 project.

Modifications and enhancements have been made to cater to the requirements of my project goals.