Analyzing the Rise of Online Shopping in the UK During COVID-19

This report investigates the surge in online shopping within the UK, focusing on the period before, during, and after the COVID-19 lockdowns. It utilizes data from January to September 2020 to compare online and retail shopping trends. The analysis includes a line chart illustrating these trends, alongside descriptive statistics, correlation, and regression analysis. The findings reveal a significant impact of the pandemic on retail purchases, which led to a corresponding increase in online shopping. The report highlights the role of online shopping campaigns and new businesses in filling the gap left by the decline in retail. It concludes that consumer preference has shifted towards online shopping due to the convenience and experience it offers.

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RISE OF ONLINE SHOPPING IN UK
Introduction
The rationale behind this point applies before, during
and after blocking on demand by web-based stores.
Buying via the web is the lonely area that registers the
skyscraper during the lockouts and further strengthens
the economy when there was no desire to recover
from this crisis.
The test method for the selected point comes from
optional sources (sites). Information on ups and
downs in web-based stores and retail stores from
January 2020 to September 2020 was considered.
This area covers the period before, during and after
the block.
Data Interpretation
Information Analysis
Measurement of central tendency and descriptive
statistics results has been shown below:
The result of descriptive statistics comments shows
that the average supply of Internet purchases is much
larger than shopping, but Skewness shows that the
broader supply of Web-based purchases is greater
than the normal contract; while the advanced
asymmetry of retail stores shows that the more remote
offering in this area under its usual contract is due to
the contraction of the mobile industry segment.
Regression analysis of Online shopping:
The results show that the internet buying trend is
positive, which means; with the increase in monthly
offers going up and down in the month, the average
number of campaigns decreases.
Correlation and Regression Analysis
:
Regression analysis of Retail shopping
The result shows downward trending line; this
indicates a negative slope and sales of retail goods
decreases with the increase in month.
Findings
References
After reviewing the information both on the web and
on purchases; COVID-19 has been found to adversely
affect retail purchases, significantly affecting web-
based purchases. This effect will also occur after a
blocking period.
Eurostats (2020). eurostat- Your key to European Statistics. [online]
Available at <https://ec.europa.eu/eurostat/web/main/home>
Office for National Statistics (2020). Home - Office for National Statistics.
[online] Available at <https://www.ons.gov.uk/>
UK Data Service (2020). UK Data Service. [online] Available at
<https://ukdataservice.ac.uk/>
.
Below is the line chart comparing both online and retail
shopping trends from January 2020 to September
2020:
Interpretation: The chart shows the steep movement of both
online buying and selling before, during and after the block. As
the graph shows clearly before the January and February locks;
Shopping is at the top, and online shopping starts at the bottom.
Today, people shop around the internet for clothing, cheap food,
and online shopping. Organizations such as Zomato, Swiggy,
Amazon, McDonald, and Dominos have been major influencers
of web-based shopping.
During the freeze (which began in late February), retail
purchases are recording more inflows and Internet purchases are
declining. The definition cites the ban by the government. As a
result, the public would prefer to collect investment from major
retail outlets rather than online shopping. In any case, during the
procession; interest in retail stores has seen a sharp decline as
people have to stay online for long periods of time and inventory
has been taken out of the store due to sudden consumer interest.
To fill this hole; Online shopping campaigns are underway and a
number of new businesses are emerging to fill this gap. The
effect can be seen as an option in the web-based shopping
model in March. After the block; the retail buying model is
declining and we are seeing a relentless improvement in internet
buying interest.
The definition of the empathy of both models is the customer’s
move to online shopping and thanks to the amazing experience
and accommodation; The reseller buyer would like to continue
shopping on the Internet.
Online Shopping Retail Shopping
Jan 235 963
Feb 75 1123
Mar 266 932
Apr 280 918
May 402 796
Jun 412 786
Jul 425 773
Aug 450 748
Sep 465 733
Figures in 000' billion
Online Shopping Retail Shopping
Mean 334.4444 Mean 863.5556
Standard Error 43.14482 Standard Error 43.14482
Median 402 Median 796
Mode #N/A Mode #N/A
Standard Deviation 129.4345 Standard Deviation 129.4345
Sample Variance 16753.28 Sample Variance 16753.28
Kurtosis 0.441187 Kurtosis 0.441187
Skewness -1.01117 Skewness 1.011173
Range 390 Range 390
Minimum 75 Minimum 733
Maximum 465 Maximum 1123
Sum 3010 Sum 7772
Count 9 Count 9