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