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 given chart demonstrates a number of different dishes served by a coffee shop in a workplace at four distinct periods of time, from 7:30 to 8:30 at two daytimes. Looking from an
overall
perspective, coffee accounts for the most predominant share of four foods and drinks in the morning
while
the reverse pattern can be seen in the number of Sandwiches seld at noon. Regarding the data for caffeine, there are a large number of customers buying
this
drink between half past eight and 10:30 a.
m
, at a total of 265.
However
,
this
figure
then
witnessed a downward trend until 5:30
p
.
m
, by 120 sales and rockets to 200 from 5:30
p
.
m
to 8:30
p
.
m
.
Additionally
, the statistics for tea record a similar trend. There are 110 turns in the early morning and decrease approximately to 50, 35 and 75 in total respectively. Turning to the partries sales, in the morning, the figure is considerably high with 275 soles. After that, it fluctuates widely to 8:30
p
.
m
.
While
sandwiches are not the preference from 7:30 to 10:30 at the morning time, its sale
then
increases dramatically up to 200 in the afternoon and varies to the night.
Submitted by lethomnam on

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Linking words: Don't use the same linking words: "while".
Introduction: The introduction is missing.
Introduction: The chart intro is missing.
Introduction: The chart intro is missing.
Vocabulary: Replace the words m, p with synonyms.
Vocabulary: The word "figure" was used 2 times.
Vocabulary: The word "number of" was used 3 times.
Vocabulary: The word "trend" was used 2 times.

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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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