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-report is centered on statistical analysis of data of infection rates of COVID–19 differs
across white individuals and BAME throughout the United Kingdom. The data in the study is
focused on 50 distinct white versus BAME patients. Study provides a comprehensive data
collection to assess which categories of patients are most impacted by COVID-19 outbreak. In
attempt to accomplish so, a range of hypotheses are equipped which are tested on the basis of
requisite statistical tests.
MAIN BODY
Analysis
Description of data set.
The array of data sets is made up of about 50 people from different age groups. They vary in age
from 20 to 50 years. This set of data demonstrates the incidence of illness in various classes of
white and BAME people. The purpose of the analysis of information is to assess the proportion
of infection rates among all classes of persons, particularly white versus BAME (Blacks,
Asians and Minority Cultural and linguistic) individuals. Here the descriptive review of the data
is carried out in the following manner:
Analysis of historical statistics to better clarify the changes that have taken place in an entity is
descriptive review (Peres‐Neto, Dray, and ter Braak, 2017). The application of a collection of
past data to render comparisons is seen in Descriptive Analyses.
Test of descriptive statistics
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