The table below shows the table made by a coffee shop in an office building on a typical weekday. Summarize 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 table made by a coffee shop in an office building on a typical weekday.

Summarize the information by selecting and reporting the main features, and make comparisons where relevant. 

You should write at least 150 words.
The table chart shows that from 7:30 to 10:30 O'clock the coffe
shop
has served more
pastries
in addition
cooffee than the other menu, I think its beacuse in the morning people love to drink a
coffee
with a few
pastries
to get up and be more powerful. On the one hand, From 10:30 to 2:30 the
coffee
shop
made a sandwiches more than
pastries
as long as its the afternoon period, considering it is a lunch time so the costemers wanted to eat a perfect meal.
On the other hand
, from 2:30 to 5:30 the
coffee
shop
served like the morning I think that becuse the people started to become more sleepy so they get a
coffee
and more
pastries
.
Finally
, on a night time the cooffe
shop
served
coffee
aswell but with more sanwiches, I wonder why costumers do not get a tea.
Submitted by weam11200 on

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Sentences: Add more complex sentences.
Common mistake: Your writing should be 150-250 words.
Basic structure: Change the second paragraph.
Basic structure: Change the third paragraph.
Basic structure: Change the fourth paragraph.
Vocabulary: Replace the words shop, pastries, coffee with synonyms.
Vocabulary: Rephrase the word "shows" in your introduction.
Vocabulary: Only 3 basic words for charts were used.
Vocabulary: Use several vocabularies to present the data in the second paragraph.
Vocabulary: Use several vocabularies to present the data in the third paragraph.
Vocabulary: Use several vocabularies to present the data in the fourth paragraph.
Topic Vocabulary:
  • peak hours
  • typical weekday
  • busiest period
  • least busy period
  • sales volume
  • time intervals
  • items sold
  • employee preferences
  • observable patterns
  • anomalies
  • trends
  • dips
  • spikes
  • data analysis
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