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 the table made by a
coffee
shop in an office building on a typical weekday. As you can see obviously, it is noticeable that the
coffee
shop made a lot of
coffee
for the entire day.
Whereas
, a lot of
sandwiches
were sold in the late morning and in the late afternoon especially. And the other products were sold in each time zone steadily. In the first
bar
chart
, the
coffee
shop made 265
coffee
, 110
tea
, 275
pastries
and 50
sandwiches
from 7:30 to 10:30 and in the second
bar
chart
, there were 185
coffee
, 50
tea
, 95
pastries
and 200
sandwiches
from 10:30 to 2:30. In the third
bar
chart
, there were 145
coffee
, 35
tea
, 150
pastries
and 40
sandwiches
from 2:30 to 5:30 and in the firth
bar
chart
, there were 200
coffee
, 75
tea
, 80
pastries
and 110
sandwiches
from 5:30 to 8:30. To summarise, it seems that people are willing to drink
coffee
and eat breads
such
as
pastries
and
sandwiches
anytime a day in an office building on a typical weekday.
Submitted by ryujaekwang0928 on

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Basic structure: Change the second paragraph.
Vocabulary: Rephrase your introduction. Words match: 91%.
Vocabulary: Replace the words chart, coffee, sandwiches, bar, tea, pastries with synonyms.
Vocabulary: Rephrase the word "shows" in your introduction.
Vocabulary: Only 4 basic words for charts were used.
Vocabulary: The word "chart" was used 5 times.
Vocabulary: The word "table" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the second 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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