Data Analysis Tools and Application

Data Analysis Tools and
Application

Contents
INTRODUCTION...........................................................................................................................................3
MAIN BODY.................................................................................................................................................3
Background..............................................................................................................................................3
Key objectives of project.........................................................................................................................3
Research methodology............................................................................................................................3
Sources of data........................................................................................................................................4
Appropriateness of data..........................................................................................................................5
Analysis of performed.............................................................................................................................5
Visualization of data................................................................................................................................7
Conclusion for the analysis......................................................................................................................8
Working of assemble and future changes that can be taken...................................................................8
Issues confronted and the future upgrades in counter...........................................................................9
CONCLUSION...............................................................................................................................................9
REFERENCES..............................................................................................................................................11

INTRODUCTION
Data analysis is defined as the examination of obtained information in order to establish a
judgment about a study topic. The utilization and evaluation of relevant data is critical in order to
evaluate the subject being studied (Chong and Xia, 2018). In the present context, the epidemic
has had a significant impact on the functioning of the entire region. This report based on the
COVID 19 impact on higher education in UK. In this report consist of forecasting analysis on the
basis of data set and define the findings with spastically function.
MAIN BODY
Background
Although most student population for the year already has actually occurred months even before
global epidemic finally started, the corona virus constraints in influence in the UK from March
2020 had a tremendous impact on the teaching, evaluation, and other such elements of the
students’ experiences even during final segment of the 2019/20 educational year. The
consequences of the disease outbreak were visible in the 2019/20 Student data are available of
academic credentials; there were organizational disruptions in disclosing some qualifying games,
as well as a rise in the number of first-class graduates, which was connected to prescribers' 'no
detriment' policy initiatives, which were set up to prevent educators' marks from being
negatively impacted by disease outbreak occurrences.
Key objectives of project
• To measure the effect of COVID 19 on higher education in the United Kingdom.
• To determine the statistical analysis of the gathered information.
• The significance of higher education in the UK's contribution to GDP.
Research methodology
Research type: There are two sorts of examinations that assist accomplish things, for instance,
subjective and quantitative examinations. Subjective inspection is associated with possessing
theoretical information, but quantitative inspection is associated with knowing mathematical
knowledge. The introduction of momentum-centric quantitative investigation types into
structural engineering procedures to collect mathematical knowledge allows for the management