The aim of the project is to provide data analysis of covid-19 (a pandemic started in December 2019). Through plotting of data, various cases have been studied like most affected countries due to this pandemic. Study of data from various countries is combined to show the growth of cases and recovery graph. In this project, the predictions on various cases has been done and finally, the accuracy of the algorithm has been determined. Comparison graphs has also been plotted to analyze how much INDIA is getting affected/recover day by day.

1. VISVESVARAYA TECHNOLOGICALUNIVERSITY, BELGAVI
A INTERNSHIP REPORT
ON
“DATA ANALYSIS OF COVID-19”
A Internship Report Submitted in Partial Fulfillment of
Requirement for the 8thSemester B.E Course during the
academic year 2020-2021
BACHELOR OF ENGINEERING
IN
COMPUTER SCIENCE AND ENGINEERING
2020-2021
Submitted by
Preeti.D
3GN17CS063
Internal Guide: External Guide:
Prof.Bhavana Bidarkar Mr. Pranav Dubey
DEPARTMENT OF COMPUTERSCIENCE AND ENGINEERING
GURU NANAK DEV ENGINEERING COLLEGE, BIDAR

2. VISVESVARAYA TECHNOLOGICAL UNIVERSITY, BELAGAVI
GURU NANAK DEV ENGINEERINGCOLLEGE,
BIDAR-585403, KARNATAKA
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
CERTIFICATE
This is to certify that the Internship report entitled “Data analysis of covid
19” is a Bonafide work carried out by Preeti.D(3GN17CS063) in partial
fulfillment of the requirements for the Bachelor's degree in Computer
Science and Engineering of the Visvesvaraya Technological University,
Belagavi during the academic year 2020-21.
………………….. .................................................
Signature of Guide Signature of HOD
Prof.Bhavana Bidarkar Dr.DayanandJ

4. DECLARATION
I, Preeti Devidas hereby declare that the Internship report entitled “Data analysis
of covid 19 with reference to “Guru Nanak Dev Engineering College” prepared by
me under the guidance of Prof.bhavana bidarkar Assistant Professor, CSE
Department, Guru Nanak Dev Engineering College and external assistance by
External Guide Pranav Dubey, Managing director, The Sparks Foundation
I also declare that this Internship work is towards the partial fulfillment of the
university regulations for the award of degree of Bachelor of Engineering by
Visvesvaraya Technological University, Belgaum.
I have undergone a summer project for a period of four weeks. I further declare that
this project is based on the original study undertaken by me and has not been
submitted for the award of any degree/diploma from any other University/
Institution.
Preeti.D

5. ACKNOWLEDGEMENT
We would like to express ourspecial thanks ofgratitude to our Prof. Bhavana
biradakar as well as our HOD Dr.Dayanand J who gave us the golden
opportunity to do this Internship report on the topic " data analysis of covid
19" which also helped us in doing a lot of Research and we came to know
about so many new things we are really thankful to them.
We are also thankful to all the other faculty, teaching and non-teaching staff
members of our department for their kind co-operation and help.
Lastly, we would also like to thank our parents and friends who helped us a
lot in finishing this seminar within the limited time. We are doing this seminar
not only for marks but to also increase our knowledge. This seminar is
dedicated to our beloved parents.

6. Abstract
The aim of the project is to provide data analysis of covid-19
(a pandemic started in December 2019). Through plotting of
data, various cases have been studied like most affected
countries due to this pandemic. Study of data from various
countries is combined to show the growth of cases and
recovery graph. In this project, the predictions on various
cases has been done and finally, the accuracy of the algorithm
has been determined. Comparison graphs has also been
plotted to analyze how much INDIA is getting
affected/recover day by day.

7. TABLE OF CONTENT
Page no.
Acknowledgement
Abstract
1.Organization Information 1
2.Internship Objectives 3
3.Weeklyoverview of internships 4
4.Introduction to covid 19
5. Problem Statement
7. Plotting on world map 8
8. Cases over time 10
9. Top 20 Countries 12
10. Analysis on some countries 14
11. Prediction and Forecasting 17
12. Prediction and Forecasting of India 19
13. Accuracy Check 26
14. Conclusion 28

8. DATA ANALYSISOF COVID19
pg. 1
DEPT OF CSE,GNDECB
1. Organization Information
The Sparks Foundation (TSF) is a non-profit organization registered in India
and Singapore. We envision a world of enabled and connected little minds,
building the future. We aim to inspire students, help them innovate, and let
them integrate to build the next generation of humankind. We help the
students to integrate and help each other, learn from each other, and do well
together.
The Graduate Rotational Internship Program (GRIP) is the flagship program
of TSF in which students, recent graduates, and professionals focus on
technical skills development as well as professional profile improvement on
LinkedIn. The program gives young aspiring minds a learning platform to
connect with students and professionals from varied diversity, background,
skills, and countries. During the Covid-19 pandemic, the format of GRIP is a
1-month, unpaid, and virtual internship.

9. DATA ANALYSISOF COVID19
pg. 2
DEPT OF CSE,GNDECB
Our Vision Statement
A world of enabled and connected little minds, building future.
Our MissionStatement
To inspire students, help them innovate and let them integrate to build the next
generation humankind.
Inspire
To inspire, motivate and encourage students to learn, create and help build a
better society.
Innovate
To teach new ways of thinking, to innovate and solve the problems on their
own.
Integrate
To let the students integrate, and help each other, learn from each other and
do well together.

10. DATA ANALYSISOF COVID19
pg. 3
DEPT OF CSE,GNDECB
Learning Objectives/Internship Objectives
 Internships are generally thought of to be reserved for
college students looking to gain experience in a particular
field. However, a wide array of people can benefit from
Training Internships in order to receive real world
experience and develop their skills.
 An objective for this position should emphasize the skills
you already possessinthe area and yourinterest in learning
more
 Internships are utilized in a number of different career
fields, including architecture, engineering, healthcare,
economics, advertising and many more.
 Some internships are used to allow individuals to perform
scientific research while others are specifically designed to
allow people to gain first-hand experience working.
 Utilizing internships is a great way to build your resume
and develop skills that can be emphasized in your resume
for future jobs. When you are applying for a Training
Internship, make sure to highlight any special skills or
talents that can make you stand apart from the rest of the
applicants so that you have an improved chance of landing
the position.

11. DATA ANALYSISOF COVID19
pg. 4
DEPT OF CSE,GNDECB
WEEKLY OVERVIEW OF INTERNSHIP ACTIVITIES
DATE DAY NAME OF THE TOPIC/MODULE
COMPLETED
05/10/20 Monday
Reporting at office with all Photocopies of
Documents.
Overview to Company Profile & Total Internship
Schedule
6/10/20 Tuesday Brief Introduction
7/10/20 Wednesday Discuss terms and keywords
8/10/20 Thursday Learning the concepts of ML
9/10/20 Friday “
10/10/20 Saturday Holiday
DATE DAY NAME OF THE TOPIC/MODULE COMPLETED
12/10/20 Monday Holiday
13/10/20 Tuesday Learning data science
14/10/20 Wednesday Working with concepts
15/10/20 Thursday Holiday
16/10/20 Friday exercises
24/5/19 Saturday Sample Projects

12. DATA ANALYSISOF COVID19
pg. 5
DEPT OF CSE,GNDECB
DATE DAY NAME OF THE TOPIC/MODULE COMPLETED
18/10/20 Monday Holiday
19/10/20 Tuesday Sample of projects
20/10/20 Wednesday
21/10/20 Thursday Holiday
22/10/20 Friday Sample Projects
23/10/20 Saturday Discuss about the latest ML projects
DATE DAY NAME OF THE TOPIC/MODULE COMPLETED
25/10/20 Monday Discussion on left over Topics
26/10/20 Tuesday Holiday
27/10/20 Wednesday Holiday
28/10/20 Thursday Assigning Projects
29/10/20
30/10/20 Friday Implementationof Project
30/10/20 Saturday Implementation of Project
1/11/20 Monday Holiday
2/11/20 Tuesday ProjectPresentation
3/11/20 Wednesday
Project Presentation
4/11/20 Thursday Submission of Project abstract & Presentation

13. DATA ANALYSISOF COVID19
pg. 6
DEPT OF CSE,GNDECB
1. Introduction to Covid-19
On 31st December 2019, in the city of Wuhan (CHINA), a cluster of cases of
pneumonia of unknown cause was reported to World Health organization. In
January 2020, a previously unknown new virus was identified, subsequently
named 2019 novel corona virus. WHO has declared the COVID-19 as a
pandemic? A pandemic is defined as disease spread over a wide range of
geographical area and that has affected high proportionof the population. The
severity of COVID-19 symptoms is highly variable, ranging
from unnoticeable to life-threatening. Severe illness is more likely in elderly
COVID-19 patients, as well as those who have certain underlying medical
conditions. COVID-19 transmits when people breathe in air contaminated by
droplets and small airborne particles. The risk of breathing these in is highest
when people are in close proximity, but they can be inhaled over longer
distances, particularly indoors. Transmission can also occur if splashed or
sprayed with contaminated fluids, in the eyes, nose or mouth, and, rarely, via
contaminated surfaces. People remain contagious for up to 20 days, and can
spread the virus even if they do not develop any symptoms.

14. DATA ANALYSISOF COVID19
pg. 7
DEPT OF CSE,GNDECB
2. Problem Statement
The pandemic has already taken grip over peoples’ life. Since the start of
the pandemic, somecountries are facing problem ofever-increasing cases.
Through the data analysis ofcases one can analyse how countries all over
the world are doing in terms of controlling the pandemic. Analyzing data
leads to adapt the prevention model of the countries that are doing great
in terms of lowering the graph. Predictions are made with the dataset
available to the individual/country/organisations, thus helping them to
decide how far they are able to control the pandemic or up to how much
extent they should guide preventive measures.
Through this project, a step towards helping people to
understand the spread and predict the cases in their country is done. This
project also gives an insight of how a country is doing in terms oflimiting
the spread.

15. DATA ANALYSISOF COVID19
pg. 8
DEPT OF CSE,GNDECB
7.Plotting on world map
Confirmed Cases
Active Cases

16. DATA ANALYSISOF COVID19
pg. 9
DEPT OF CSE,GNDECB
Recovered Cases
Death Cases

17. DATA ANALYSISOF COVID19
pg. 10
DEPT OF CSE,GNDECB
8.Cases over time
Confirmed Cases day-wise spread
Active Cases day-wise spread

18. DATA ANALYSISOF COVID19
pg. 11
DEPT OF CSE,GNDECB
Recovered Cases day-wise
Death Cases day-wise

19. DATA ANALYSISOF COVID19
pg. 12
DEPT OF CSE,GNDECB
9.TOP 20 Countries
Most affected Country: US
Active Cases:

20. DATA ANALYSISOF COVID19
pg. 13
DEPT OF CSE,GNDECB
Recovered Cases:
Most recoveries: CHINA
Death Cases:
Most deaths in: US

21. DATA ANALYSISOF COVID19
pg. 14
DEPT OF CSE,GNDECB
10.Analysis on some countries
Countries taken for analysis are: CHINA, US, ITALY AND
INDIA.
Highest confirmed cases: US.
Lowest Confirmed cases: INDIA.
Confirmed
Active
Countries taken for analysis are: CHINA, US, ITALY AND
INDIA.
Highest Active cases: US.
Lowest Active cases: CHINA.

22. DATA ANALYSISOF COVID19
pg. 15
DEPT OF CSE,GNDECB
Recovered
Countries taken for analysis are: CHINA, US, ITALY AND
INDIA.
Highest Recovered cases: CHINA.
Lowest Recovered cases: INDIA

23. DATA ANALYSISOF COVID19
pg. 16
DEPT OF CSE,GNDECB
Death :
Countries taken for analysis are: CHINA, US, ITALY AND
INDIA.
Highest Death cases: US.
Lowest Death cases: INDIA

24. DATA ANALYSISOF COVID19
pg. 17
DEPT OF CSE,GNDECB
11.Prediction and Forecasting
Confirmed Cases (WORLD)
Predicted value : yhat ||
Actual Value :y

25. DATA ANALYSISOF COVID19
pg. 18
DEPT OF CSE,GNDECB
Active Cases (WORLD)
Predicted value : yhat || Actual Value :y

26. DATA ANALYSISOF COVID19
pg. 19
DEPT OF CSE,GNDECB
Recovered Cases (WORLD)

27. DATA ANALYSISOF COVID19
pg. 20
DEPT OF CSE,GNDECB
Predicted value : yhat || Actual Value :y

28. DATA ANALYSISOF COVID19
pg. 21
DEPT OF CSE,GNDECB
Death Cases (WORLD)
Predicted value : yhat ||
Actual Value :y

29. DATA ANALYSISOF COVID19
pg. 22
DEPT OF CSE,GNDECB
Predicted value : that ||Actual Value :y

30. DATA ANALYSISOF COVID19
pg. 23
DEPT OF CSE,GNDECB

31. DATA ANALYSISOF COVID19
pg. 24
DEPT OF CSE,GNDECB
12.Predicting and forecasting of India
Active Cases (INDIA)
Predicted value : yhat ||
Actual Value :y

32. DATA ANALYSISOF COVID19
pg. 25
DEPT OF CSE,GNDECB

33. DATA ANALYSISOF COVID19
pg. 26
DEPT OF CSE,GNDECB
Recovered Cases (INDIA)
Predicted value : that ||Actual Value :y

34. DATA ANALYSISOF COVID19
pg. 27
DEPT OF CSE,GNDECB
Death Cases (INDIA)
Predicted value : yhat ||
Actual Value :y

35. DATA ANALYSISOF COVID19
pg. 28
DEPT OF CSE,GNDECB
14. Conclusion
Throughthis project, the analysison COVID-19datahasbeen performed
successfully. The analysis on this pandemic spread has been done and
compared between differentcountries. The analysis of confirmed cases,
active cases, recovered cases and deaths are done separately to give a
clear look on how the virus is spreading, which countries are getting
affected mostly and how different countries are recovering. A separate
analysis on cases of INDIA has been done and predictions of different
cases both around the world and INDIA has been done. At last, the
accuracy check using different metrics is performed over all the analysis
done in this project.