Data Analysis and Visualization

Data Analysis and Visualization

Contents
INTRODUCTION.......................................................................................................................................3
MAIN BODY..............................................................................................................................................3
Analysis...................................................................................................................................................3
Practical application and deployment......................................................................................................9
CONCLUSION.........................................................................................................................................15
REFERENCES..........................................................................................................................................16

INTRODUCTION
The study assignment focuses on descriptive analyzation of the COVID-19
infections prevalence data among white people including BAME across most of United
Kingdom. The sampling data based on 50 different white-patients vis a vis BAME patient
population (Kruse, Hug and Vaquerizas, 2020). The review offers an exhaustive compilation of
data to evaluate the subgroups of patients mostly affected by the epidemic of the COVID-19. A
number of theories are configured to pursue to achieve this, that are evaluated on the framework
of necessary statistical techniques.
MAIN BODY
Analysis
Description of data-sets: The data collection is around 50 individuals of various age classes. The
participants ranged from age-group 20 to 50 years. In study data collection reveals the
pervasiveness of infectious disease of different groups of individuals that are white-people and
BAME. The aim of data collections is to specify the ratios of infection frequencies of all groups
of demographic, especially whites & BAME (African American, European and Minority
Cultural and linguistic) citizens. Here, the concise assessment of the details is dealt in the
following direction:
Study of historic results to smarter reiterate the modifications which have taken shape in a
corporation is descriptive evaluation. The existence of a collection of observational data to
deliver comparability is seen in Descriptive Metrics (Katina, Vittert and Bowman, 2020).
Statistics
White
patient BAME
N Valid 50 50
Missing 0 0
Mean 36.180 36.740

Median 36.000 34.500
Mode 20.0a 50.0
Std. Deviation 9.4192 9.3171
Variance 88.722 86.809
a. Multiple modes exist. The smallest
value is shown
White patient
Frequency Percent
Valid
Percent
Cumulative
Percent
Valid 20.0 4 8.0 8.0 8.0
22.0 2 4.0 4.0 12.0
25.0 2 4.0 4.0 16.0
26.0 1 2.0 2.0 18.0
27.0 2 4.0 4.0 22.0
28.0 1 2.0 2.0 24.0
29.0 1 2.0 2.0 26.0
30.0 2 4.0 4.0 30.0
32.0 1 2.0 2.0 32.0
33.0 4 8.0 8.0 40.0
34.0 2 4.0 4.0 44.0
35.0 3 6.0 6.0 50.0
37.0 2 4.0 4.0 54.0
38.0 2 4.0 4.0 58.0
40.0 4 8.0 8.0 66.0
42.0 1 2.0 2.0 68.0
43.0 4 8.0 8.0 76.0
44.0 3 6.0 6.0 82.0