Exploring Data Analysis Tools: COVID-19 Vaccination Impact Analysis

This report investigates the impact of COVID-19 vaccination on mortality rates in the UK using data analysis tools. The study employs a quantitative research methodology, utilizing secondary data from online sources, specifically coronavirus.data. The analysis involves statistical methods, including regression analysis performed in Excel, to determine the correlation between vaccination rates and COVID-19 related deaths. The findings suggest a significant relationship, with increasing vaccination rates correlating with a decline in mortality. The report also reflects on the group's collaborative process, highlighting both the benefits of shared expertise and challenges such as conflicts and data source selection. Recommendations for future studies include improved time management and the use of more advanced analytical tools like SPSS. Ultimately, the report concludes that data analysis is crucial for informed decision-making and that vaccination has played a significant role in mitigating COVID-19 related deaths.

Data analysis Tools and
application

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
Objectives....................................................................................................................................3
Methodology...............................................................................................................................3
Data sources................................................................................................................................4
Appropriateness of data..............................................................................................................4
Analysis.......................................................................................................................................4
Methods of presenting and visualising........................................................................................6
Achievement and conclusion......................................................................................................6
Group functioning together.........................................................................................................6
Issues and things to done differently in future............................................................................7
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis is being referred to as the analysing the data after the collection relating to
the research problem. Analysis of the data is very important for the reason that in case the
findings of the data will help the company in deciding the future working. In the present case the
analysis and impact of using vaccination over the number of death due to COVID will be
analysed. This problem is being selected in order to analyse the fact that whether after taking the
vaccination, the death due to pandemic has reduced or not.
MAIN BODY
Objectives
The aim of the study is to analyse the impact of taking vaccination over the number of
death among the people in UK because of COVID".
Objectives
To analyse the concept of taking vaccination and deaths.
To evaluate the impact of taking vaccination over the number of death.
To examine the challenges which might affect the person taking vaccination.
This is very necessary to ensure that whether the vaccination relating to pandemic has
resulted in reduction of the death or not. In case the death has not been reduced then this will
create a negative impact over the health of the person.
Methodology
 Research type- There are generally two different types of methods through which the
research can be done. This involves the use of either quantitative or the qualitative
techniques in order to complete the working. The type of research used in analysing the
current situation is the quantitative (Islam, 2020). The reason underlying this selection of
this method is that it will provide a proper base and will provide an accurate answer to
the problem.
 Research approach- the approach selected for the present problem is the selection of
deductive approach as this is more suitable with the use of quantitative research.
 Research philosophy- further for the completion of the present study the use of positivism
as the research philosophy will be used. The reason underlying this fact is that it will be
providing all the factual information relating to the research problem.

 Data collection- the research cannot be completed without the use of data and for this
reason that data need to be collected in proper and effective manner. In the present case
the data is being collected from the secondary sources that is from the online platform. In
the current study the use of online website coronavirus.data has been used.
 Data analysis- after the collection of the data there is requirement of the analysis of the
data. This is the most essential element because in case the data will not be analysed
appropriately then this will be affecting the outcome of the research (Pandey and Pandey,
2021). hence, for this, the quantitative analysis is being undertaken with help of excel and
its different function.
From this whole research I took the part of collection of data because this is very tough task and
results in gaining of different types of knowledge relating to the skill. The selection of this part
of research was very helpful in gaining knowledge relating to the different types of the skill.
Data sources
The data is the one on which the whole study is being based and this is more beneficial
for the research to complete the study. this is particularly because of the reason that with help of
the proper data the research objectives can be attained (Bougie and Sekaran, 2019). Hence the
current data is being collected form the official website of coronavirus and all the data has been
used in order to attain the objectives of the study. The data includes two different variables that is
data relating to death because of COVID and data of people being vaccinated.
Appropriateness of data
The data is being gathered from the official website of UK and because of this the
gathered data is appropriate. Also, the official data authenticates the working and it ensures that
the proper working is being managed in order to ensure that the work is being done in proper
manner.
Analysis
H0- there is not any significant relation being present in vaccination and the number of death due
to COVID.
H1- there is a significant relation being present within the data relating to vaccination and the
total number of death because of pandemic.
Regression
Statistics

Multiple R 0.90867
R Square 0.82568
Adjusted R
Square 0.81074
Standard Error 13.906
Observations 39
ANOVA
df SS MS F
Significance
F
Regression 3 32058.8 10686.3 55.261 2.33046E-13
Residual 35 6768.22 193.378
Total 38 38827
With the help of the above regression analysis it is evident that there is impact of the
vaccination over the number of people dying because of COVID 19. By evaluating the data, it is
clear that R value is 90% and this implies that both the variable is highly correlated with one
another. Along with this R square is 82% and this indicates the fact that when there will be any
change within the independent variable then this will cause a change in the dependent variable to
an extent of 82 %. Also. The significance value is 0.00 which simply implies that the hypothesis
is being proved that is alternate is selected and null hypothesis is being rejected. Thus, with this
it is clear that there is a relation being present in the taking of vaccination and the number of
people dying with COVID. Also, in support of this Windchief and San Pedro, (2019) stated that
when more people will be getting vaccinated then this will be improving their health and
immune system. Hence, with this it is clear that their working and immune power and this will
be improving the working efficiency of the person.

Methods of presenting and visualising
With the help of the presentation of the data it is clear that the use of vaccination has
resulted in decline in the number of death. This is good for the reason that when the vaccination
was increasing then as a result of this the death data is reducing (Ritala, Schneider and
Michailova, 2020). This is particularly because of the reason that with the help of the
vaccination, the result was that the death has reduced. Also the vaccination has improved the
immune system of the company and as a result of this the working efficiency has also increased.
Achievement and conclusion
With the help of the above discussion it is clear that the objectives of the study have been
attained as there is a relation being present within the vaccination and number of death. Hence, it
can be concluded that the objectives of the study have been attained and because of this the
working efficiency increased (Huston, 2020). Also, it is analysed that the use of quantitative
analysis is very important for the reason that it provides for proper and more accurate data which
is not in case of other techniques of research. Hence, this study resulted in the attainment of
objectives of the study and complete the whole study successfully.
Group functioning together
With the help of the above whole discussion it is clear that the group working is
beneficial for the research to be completed in better way. This is pertaining to the fact that when
the working is being done in group then this improves the working efficiency of the team. Thus,
working in group helps in improving the working efficiency and because of this, the overall
objective is being attained (Yang and et.al., 2020). Also, when different people work in group
then they all share their expertise and this improve the knowledge of other people as well.

moreover, another benefit of working in team was that it results in attaining the objectives before
time. This before time completion helps the researcher and other group member in rechecking
the work and any faults can be found and changes can be made.
Issues and things to done differently in future
Also, the team working many a times result in some issues and problem which might affect
the working and successful completion of the work. Thus, for this the major issue found while
working over the project was conflict among team members. The reason underlying this fact is
that when more people are working on single project then this might result in the increase in
conflict and ego clashes. This is particularly because of the reason that every person is different
and their perception and thinking is also different and it might be possible that they might not
agree on the same point (Keller and Trendelenburg, eds., 2019). Hence, this can result in the
issues and it can affect the working efficiency of employees and this can result in non-
accomplishment of objectives of study. along with this another issue being faced was at time of
the data collection. This is particularly because of the reason that there are large number of data
sources and sometimes it is difficult in order to analyse that which method or source is
appropriate. The reason underlying this fact is that when the proper source is used then this will
be resulting in effective completion of the research as most appropriate data is being selected.
The future recommendation for the improvement of the study is involves the following-
 The researcher must try to complete the work before time and must also inculcate
different techniques of time management. This is important for the reason that in case the
proper time will be provided to the work completion then there will be enough time of
cross check that whether the working is being done in right direction or not.
 In addition to this, another recommendation for improving the working in better manner
in future is to undertake the use of the SPSS for the analysis of the data. The reason
underlying this fact is that this might provide better outcome and it will be more reliable
and better for attainment of objectives of business.
CONCLUSION
In the end the overall report concluded that the use of data is very important for the
reason that it provides a base to the company or the researcher to take proper decision. This is
particularly because of the reason that it involves collecting the related data and then applying

different analytical tools in order to evaluate the data. The above analysis outlined that the
alternate hypothesis is being accepted and there is a relation being present within the vaccination
and number of death after vaccination. Also, with the above study it was inferred that the use of
group working was assistive in order to meet the objectives of study in much better manner.

REFERENCES
Books and Journals
Bougie, R. and Sekaran, U., 2019. Research methods for business: A skill building approach.
John Wiley & Sons.
Huston, P., 2020. Effective presentation of data in tables and figures. Canada Communicable
Disease Report. 46(7/8).
Islam, M., 2020. Data Analysis: Types, Process, Methods, Techniques and Tools. Int. J. Data
Sci. Technol. 6(1). pp.10-15.
Keller, H. and Trendelenburg, C. eds., 2019. Data Presentation/Interpretation (Vol. 2). Walter
de Gruyter GmbH & Co KG.
Pandey, P. and Pandey, M. M., 2021. Research methodology tools and techniques. Bridge
Center.
Ritala, P., Schneider, S. and Michailova, S., 2020. Innovation management research methods:
embracing rigor and diversity. R&D Management. 50(3). pp.297-308.
Windchief, S. and San Pedro, T., 2019. Applying Indigenous research methods. New York,
United States: Routledge.
Yang, Y., and et.al., 2020, April. Tactile presentation of network data: Text, matrix or diagram?.
In Proceedings of the 2020 CHI Conference on Human Factors in Computing
Systems (pp. 1-12).