Skip to content

This is python implementation for covid-19's data visualization and predication for future cases.

License

Notifications You must be signed in to change notification settings

Mithilesh1609/visualize_analize_predict_covid-19_data_in_python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 

Repository files navigation

visualizing-covid-19-data-in-python

Here we have used this python libraries

  • Pandas - for dataset handeling
  • Numpy - Support for Pandas and calculations
  • Matplotlib - for visualization (Platting graphas)
  • Pycountry_convert - Library for getting continent (name) to from their country names
  • Folium - Library for Map
  • Keras - Prediction Models
  • Plotly - for interative plots

We have used this time-series data-set.

  • time_series_covid19_confirmed_global.csv (Link)
  • time_series_covid19_deaths_global (Link)
  • cases_country.csv (Link)

Here are some results

  • cases of covid-19 continent wise. ![]