This is a mini projects about Live Covid 19 data analysis & interactive visualization by using python in both global & Sri Lanka's situation.In here mainly used plotly for interactive & creative data visualizations instead of usual matplotlib & seaborn libraries. In every time we run the notebook we can get updated data insights. ( The live data source that we use in here is fully update the data after two days in each corresponding days )
To keep the accuracy of the data inights, i have to perform data analysis & visualizaions on two days before the current date
- Use python for better & insghitful data analysis & visualizatins.
- Use Pandas advance data analysis techniques to data cleaning & manipulations of the raw data.
- Use Geospatial visualization to make better understand about the derived insights of the raw data.
- use plotly to plot customized , creative & interactive visualization better than usual matplotlib & seaborn.
- Make Copy of the Covid 19 Status Tracker with Interactive Visualuzations.ipynb to the google colaboratory & open it ( do not run )
- Download & extract the Countries Geospatial Files.zip then Make copy of the files to your folder in google cloud .
- Copy file path ( WB_countries_Admin0_10m.shp llocated in above files copied location in you google drive ) and paste the path to the below location in Covid 19 Status Tracker with Interactive Visualuzations.ipynb which have opend in google Colaboratory
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- Then Run Covid 19 Status Tracker with Interactive Visualuzations.ipynb in goole colab.
- Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
- Python
- Google Colab
- https://ourworldindata.org/
- https://colab.research.google.com/
- https://www.python.org/
- https://plotly.com/python/
- https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries
- https://github.com/owid/covid-19-data
- Use only for education purposes