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:
- Climate factor in the virus spreading behaviour.
- Economical factor in the virus spreading behaviour.
- Tourism factors.
- ...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.
- First install the python packages by
pip install -r requirements.txt2.A. Use the jupyterjupyter notebook2.B or run the python scriptpython 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