The table below shows the sales at a small restaurant in a downtown business district. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

The table below shows the sales at a small restaurant in a downtown business district. 

Summarise the information by selecting and reporting the main features, and make  comparisons where relevant.
✨ Do you want to improve your IELTS writing?
The given table illustrates the data on selling at a little restaurant in a business district in the city centre. The
overall
trend of restaurant sales over a specific period indicates the fluctuations in weekly sales performance which has been divided into dishes vending areas including lunchtime and dinnertime per day. The income of the eaten house for dinner is considerably much compared to the revenue from lunch all week long. By looking at the figures,
It is clear that
the highest amount of money earned is owed on Fridays versus other days with approximately $ 6,850. Meanwhile, the average revenue from bargaining on most of the weekdays including Monday, Tuesday, Wednesday, and Thursday is almost $ 6.136.
However
, there is a noticeable pattern that demonstrates that the effect of the weekend as an external factor on trade was negative because the lower earnings occurred on weekend days
whereas
on Sunday the least measure of money is gained exactly $ 4.
Moreover
, the lower money received in the lunchtime category is related to Sunday and the highest is on Wednesday.
As well as
the restaurant
also
sold the largest payment of menu items on Friday for dinner meals as a peak sale in comparison with others.
Submitted by TUTOO on

Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Writing9 with appropriate and specific direction to the original content.

Topic Vocabulary:
  • fluctuations
  • peak sales
  • troughs
  • seasonal adjustments
  • promotional impact
  • customer footfall
  • external factors
  • forecasting
  • performance analysis
  • trend analysis
  • sales metrics
  • business district
  • revenue streams
  • consumer behavior
  • market trends
What to do next:
Look at other essays: