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COVID Vaccine Analytics India

The document is a project report submitted by Harshad Danawale to Savitribai Phule Pune University analyzing the "covid_vaccine_statewise" dataset. The report describes the dataset, provides the number of persons vaccinated for the first and second dose state-wise in India, and the number of males and females vaccinated. It includes sections on the problem statement, software requirements, introduction, data analytics through code snippets, and a conclusion.

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0% found this document useful (0 votes)
105 views11 pages

COVID Vaccine Analytics India

The document is a project report submitted by Harshad Danawale to Savitribai Phule Pune University analyzing the "covid_vaccine_statewise" dataset. The report describes the dataset, provides the number of persons vaccinated for the first and second dose state-wise in India, and the number of males and females vaccinated. It includes sections on the problem statement, software requirements, introduction, data analytics through code snippets, and a conclusion.

Uploaded by

danawaleharshad
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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A PROJECT REPORT ON,

“Analytics on covid_vaccine_statewise dataset”)”

in the Subject,

“Data Science and Big Data Analytics”

SUBMITTED TO THE SAVITRIBAI PHULE PUNE UNIVERSITY, PUNE

SUBMITTED BY

Harshad Rajendra Roll No: TE1 T5431


Danawale

DEPARTMENT OF COMPUTER ENGINEERING


NBN SINHGAD SCHOOL OF ENGINEERING, PUNE-41
SAVITRIBAI PHULE PUNE UNIVERSITY
1
2021 - 22

2
CERTIFICATE

This is to certify that the project report entitles


“Analytics on covid_vaccine_statewise dataset”

Submitted by
Harshad Danawale TE 1 Roll No: T5431

is a bonafide work carried out by him under the supervision of Prof. Santosh Kale and it is
approved for the partial fulfillment of the requirement of University of Pune as a part of
Laboratory Practice work syllabus (Third year Computer Engineering).

(Prof. Santosh Kale) (Prof. Mr. Shailesh


Bendale)
Head, Department
of Computer
Subject In-charge
Engineering

3
ACKNOWLEDGEMENT

It is indeed a great pleasure and moment of immense satisfaction for we to present a project
report on “Analytics on covid_vaccine_statewise dataset " amongst a wide panorama that
provided us inspiring guidance and encouragement, we take the opportunity to thanks those who
gave us the indebted assistance. We wish to extend our cordial gratitude with profound thanks to
our internal guide Prof. Santosh Kale for her everlasting guidance. It was his inspiration and
encouragement which helped us in completing our project.

Our sincere thanks and deep gratitude to Head of Department, Prof. Shailesh Bendale and other
faculty member; but also to all those individuals involved both directly and indirectly for their help
in all aspect of the project.

At last but not least we express our sincere thanks to our Institute’s Principal Dr. Shivprasad
Patil, for providing us infrastructure and technical environment.

Shalvi S. Bhambure

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ABSTRACT

Using the covid_vaccine_statewise.csv dataset and we perform following analytics on the given
dataset.
a. Describe the dataset
b. Number of persons state wise vaccinated for first dose in India
c. Number of persons state wise vaccinated for second dose in India
d. Number of Males vaccinated
e. Number of females vaccinated

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CONTENTS

CHAPTE TITLE PAGE NO


R
1 Problem Statement Definition 6
2 Software Requirements Specification 6
3 Introduction 6
4 Data Analytics 7
4. Data Description 7
1
4. Number of persons state wise vaccinated for first dose 7
2
Number of persons state wise vaccinated for second dose 7
4.
3
Number of Males vaccinated 7
4.
4
Number of females vaccinated 7
4.
5
5 Code Snippets 8
6 Conclusion 9
7 References 1
0

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1. Problem Statement Definition

Use the following covid_vaccine_statewise.csv dataset and perform following analytics on the
given dataset
https://www.kaggle.com/sudalairajkumar/covid19-in-india?select=covid_vaccine_statewise.csv
a. Describe the dataset
b. Number of persons state wise vaccinated for first dose in India
c. Number of persons state wise vaccinated for second dose in India
d. Number of Males vaccinated
e. Number of females vaccinated

2. Software Requirements and Specification

Jupyter NoteBook

3. Introduction

Coronaviruses are a large family of viruses which may cause illness in animals or humans. In
humans, several coronaviruses are known to cause respiratory infections ranging from the common
cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe
Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes
coronavirus disease COVID-19 - World Health Organization. The number of new cases are
increasing day by day around the world. This dataset has information from the states and union
territories of India at daily level.

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4. Dataset Analytics

4.1 Dataset Description

The describe() method returns description of the data in the Dataset. If the Dataset contains
numerical data, the description contains these information for each column:

count - The number of not-empty values.


mean - The average (mean) value.
std - The standard deviation.
min - the minimum value.
25% - The 25% percentile*.
50% - The 50% percentile*.
75% - The 75% percentile*.
max - the maximum value.

4.2 Number of persons state wise vaccinated for first dose in India

Health officials in India are accelerating a COVID-19 vaccination drive that has greatly enhanced
access to vaccines in cities and villages across the country.
Using the dataset summery of number of persons vaccinated for first dose in India is given below

4.3 Number of persons state wise vaccinated for second dose in India

Using the dataset summery of number of persons vaccinated for second dose in India is given
below

4.4 Number of Males Vaccinated in India

A total of 1.63 billion vaccine doses have been administered in India, according to data on
CoWIN, India's official vaccination website. Of these, 830 million were given to men,
compared with 792 million to women — a difference of over 38 million doses.

4.5 Number of Females Vaccinated in India

Civil society activists cite several reasons behind this apparent vaccination gender gap, pointing to
geographical, social and gender disparities that continue to exist in India.

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5. Code Snippet

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6. Conclusion

Thus, We have successfully processed and visualized data with new datasets as it is suitable when
data is available.

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7. References

https://www.kaggle.com/sudalairajkumar/covid19-in-india?select=covid_vaccine_statewise.csv

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