GitHub - sharanshirodkar7/-COVID19-Data-Analysis-Using-Python: we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consisting of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
_COVID19 Data Analysis Using Python.ipynb		_COVID19 Data Analysis Using Python.ipynb
covid19_Confirmed_dataset.csv		covid19_Confirmed_dataset.csv
covid19_deaths_dataset.csv		covid19_deaths_dataset.csv
worldwide_happiness_report.csv		worldwide_happiness_report.csv

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we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consisting of various life factors, scored by the people living in each country around the globe. We are going to merge these two …