Online Shopping Trends: Food Sector Analysis in the UK

This report analyzes the trends in online food shopping in the UK before, during, and after the COVID-19 lockdown. The analysis, based on secondary data collected from online sources, reveals that there was an average growth in online food shopping before the lockdown, which significantly increased during the lockdown period, and then returned to pre-lockdown levels after the restrictions were eased. Correlation analysis indicates a negative relationship between shopping trends before and after the lockdown, and a weak relationship between trends before and during the lockdown. Descriptive statistics suggest that the data is not equally distributed across the variables. The report concludes with references to the data sources used for the analysis. Desklib provides a platform for students to access similar solved assignments and past papers for academic support.

Professional Skills for Business and Finance
INTRODUCTION MAIN BODY
Subject knowledge- The topic which has been
chosen is related to “online shopping trend in food
sector in UK before, after and during the
Lockdown”. The rationale behind choosing such
topic is that due to COVID 19 people focused on
shopping by online method instead of going
outside. The data has been selected by secondary
data collection approach in which information has
been gathered through online sites.
Data interpretation:
Oct-19 Nov-19 Dec-19
0.00%
0.50%
1.00%
1.50%
2.00%
1.30%
1.60%
1.90%
Before lockdown
Jan-20 Feb-20 Mar-20
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
17.90%
55.80%
21.10%
During lockdown
Aug-20 Sep-20 Oct-20
0.00%
1.00%
2.00%
3.00%
4.00%
5.00% 4.60%
1.50%
0.40%
After lockdown
Interpretation: In accordance of above produced charts
and tables this can be stated that before lockdown there
was an average growth in terms of online food
shopping which has been increased in a significant
manner during lockdown. While after the lockdown
this trend became same as before. This shows that
people focused on online food shopping during
lockdown.
Information analysis:
Correlation analysis-

Analysis: In accordance of above done analysis this
can be inferred that there is negative relation
between before and after lockdown shopping trends
because value of correlation is of -0.964. while
there is poor relation between before and during
lockdown shopping trends as value of Pearson
correlation is of 0.076.
Descriptive statistics:
Analysis: as per above table this can be inferred
that under each variable value of mean and
standard deviation is far from each other. This
shows that data is not equally distributed.
REFERENCES
About data of shopping trends, 2020 [online] available
through:<
https://www.statista.com/statistics/1195913/uk-online-
retail-growth-month-on-month-united-kingdom/>
MAIN BODY