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Covid19_State_wise_Visualizations.ipynb

Covid19_State_wise_Visualizations.ipynb

 
 

Covid19_italy.ipynb

Covid19_italy.ipynb

 
 

Covid_19_Data_Analysis(SUYASH).ipynb

Covid_19_Data_Analysis(SUYASH).ipynb

 
 

README.md

README.md

 
 

Timeline analysis of Covid 19.ipynb

Timeline analysis of Covid 19.ipynb

 
 

covid.csv

covid.csv

 
 

covid19_Confirmed_dataset.csv

covid19_Confirmed_dataset.csv

 
 

covid19_data_analysis_in_python2.ipynb

covid19_data_analysis_in_python2.ipynb

 
 

covid19_italy_region.csv

covid19_italy_region.csv

 
 

state_wise_daily.csv

state_wise_daily.csv

 
 

worldwide_happiness_report.csv

worldwide_happiness_report.csv

 
 

README.md

                                            # COVID_19-DATA-ANALYSIS

This project aims to solve daily cases as statewise analysis , covid19 daily cases in India ,Italy.

      Dataset :

Dataset used can be take through repository.

Go to other sheets and check for 'state_wise_daily','covid' sheet name.

   Setup Instruction:

Prerequisites Experience with jupyter notebook or google colab.

Knowledge of following is recomended:

pandas

matplotlib

seaborn

numpy

plotly

     Steps followed

Step 1. Data Preprocessing.

Step 2. Data visualization of previous data available.

Step 3. Many more

     Conclusion

Number of recovered cases are high as compared to deceased cases, which shows that recovery rate for covid19 cases in India is very good.

India might see a third wave but not as sharp and hard as the second one.

To avoid third wave we all should follow all necessary precautions and keep safe.