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. You should write at least 150 words.

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. 

You should write at least 150 words.
The table represents the income of a local cafeteria in a popular downtown area in a week from
7th
Correct article usage
the 7th
show examples
to
13th
Correct article usage
the 13th
show examples
of October Through the period shown, it can be seen that the restaurant’s
sales
of
dinner
were higher than
lunch
. Generally, there is a striking feature was that people spent more money on
lunch
and
dinner
on
Friday
There was a slight rise in
lunch
sales
from Monday to
Friday
and reached a peak of $2595 on Wednesday. The
sales
then
decrease a bit on Thursday and recover back to $2500 on
Friday
.
Lunch
earnings increased significantly from 2400 to 2500, after which
this
figure hit the lowest point at $1950 and $1550 respectively at the weekend For
dinner
sales
in
this
cafeteria, there was a similar pattern witnessed in the profits of
dinner
and
lunch
on the first two days of the week were almost the same, the average
lunch
sales
were around $2400 and
dinner
sales
were over $3600.
However
,
dinner
profits gradually decreased to $3445 on Wednesday before peaking at $4350 on
Friday
. It is noticeable that more people choose the cafeteria on the 5th day of the week than on other days
Submitted by kimhoangcoaching on

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Basic structure: Change the second paragraph.
Vocabulary: Replace the words sales, dinner, lunch, friday with synonyms.
Vocabulary: The word "decrease" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the second paragraph.
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
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