exploratory-data-analysis's Introduction

Exploratory-Data-Analysis-For-Covid-Vaccination

Problem Statement

Our dataset explores the rise of Covid and the effect of vaccinations on Covid, which ultimately helped us to reach the milestone of 1 billion vaccinations in India.

Objectives

Compare the variation of tests, cases, and deaths in the years 2020 and 2021.
Analyze the effect of vaccination on cases, deaths, positive rate, and death rate.
Observe and note the patterns in vaccinations.
Compare the effect of first and second doses of vaccinations on cases and deaths.

Data Description

The given dataset is the daily basis count in Covid and vaccination sector.
It summarizes the information regarding the number of Covid cases, deaths, Covid tests, and the status of vaccination.
The data helps to analyze the situation of approximately 2 years of data till Dec 15, 2021, the pre-release of the vaccine in the first year and post-release of the vaccine in the second year.
This dataset comprises 50 columns(attributes) and 686 rows(tuples).

Analysis

Conclusion

Testing helped to detect more cases and hence, reduced severe cases of covid.
In general, as cases increased, deaths also increased. But deaths did depend on cases.
Vaccination did not affect much the number of cases or positive rate.
Cases mostly depended on waves of covid and other factors.
Vaccination affected the number of deaths by increasing the immunity of the people which is seen in further days or months.
Vaccinations depended on waves of covid and other factors.
There were more first-dose vaccinations compared to second-dose vaccinations.

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