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

• 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