The Rise of Online Shopping in the UK: A Comparative Analysis (2020)

This report examines the significant rise of online shopping in the UK, particularly focusing on the period before, during, and after the 2020 lockdown. Using secondary data sources, the analysis compares trends in online shopping with traditional retail, from January to September 2020. The study employs data interpretation, correlation, and regression analysis to illustrate the contrasting impacts of the pandemic on both sectors. Findings reveal a negative impact on retail shopping and a positive effect on online shopping, with the latter experiencing a surge in demand during the lockdown. The report highlights the shift of customers to online platforms and the lasting impact of this change, offering valuable insights into the evolving retail landscape.

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RISE OF ONLINE SHOPPING IN UK
Introduction
The rationale behind choosing this topic is impact of
before, during and after lockdown on demand of online
shopping. Online shopping is the only field which
records high rise during lockdown and also supports
economy when there was no hope of recovery from
this crisis.
Sampling method for chosen topic is from secondary
sources (websites). Data has been considered for rise
and fall in online shopping and retail shopping from
January 2020 to September 2020. This duration
covers the before, during and after lockdown period.
Data Interpretation
Information Analysis
Measurement of central tendency and descriptive
statistics results has been shown below:
The result of descriptive statistics shows that average
sale of online shopping is much more less than retail
shopping but Skewness shows that maximum sale of
online shopping is more than its average sale; while
positive Skewness of retail shopping indicates that
maximum sale of this sector is below its average sale
because of downward trending market.
Regression analysis of Online shopping:
The result shows that the slope of online shopping is
positive which means; with increasing of month sales
increases and decreasing in month declines the sales
value.
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 analyzing the data of both online and retail
shopping; it was found that COVID-19 have negative
impact on retail shopping , while it has positive impact
on online shopping. This impact will continue even
after lockdown 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 opposite trend of both online and
retail shopping before, during and after lockdown. As the graph
clearly indicates that before lockdown which is January and
February; retail shopping is at peak while Online shopping starts
from below. These days people use to do online shopping
specially to order clothes, fast food and online services.
Companies like Zomato, Swiggy, Amazon, McDonald and
Dominos were the main influencer of online shopping.
During lockdown (started from the end of February) the retail
shopping records further pick and online shopping diminishes.
The reason is declaring of lockdown by Government. Due to
which public preferred to gather stock from big retail malls rather
than online shopping. But in the month of march; demand for
retail shopping shown great fall as people has to stand in a line
for long hours and stock was whipped out from retail store
because of unexpected demand from customers.
To fill this gap; online shopping step forward and many new
startups comes into front to fill this gap. This impact can be seen
in the form of pick in the line trend of online shopping in the
month of March. After lockdown; the trend of retail shopping is
going downwards and continuous upward movement in the
demand of online shopping can be seen.
The reason behind continuity of both trend is shifting of retail
customer to online shopping and due to great experience and
convenience; the migrated customer preferred to stay with online
shopping.
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