alivx / coronavirus-covid-19-insights Goto Github PK

This is a sample statistical dataset I created using pandas. I merged multi dataset together in order to get meaningful statistical data, I plaining to add more different data set and merge it with this pandas data frame to get more deep info it may help us to get a better understanding of that virus behaviour.

What I need to achieve with those datasets:

1. Climate factor in the virus spreading behaviour.
2. Economical factor in the virus spreading behaviour.
3. Tourism factors.
4. ...etc Anything I can join the data together may help us to see in different sight.

I will try to update csv data in daily bases.

1. First install the python packages by pip install -r requirements.txt 2.A. Use the jupyter jupyter notebook 2.B or run the python script python COVID-19.py

You can use the output to visual the data.

Output files:

• covid019.csv # CSV file
• covid019.xlsx # Excel file
• COVID-19.db # SQLite3 file