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.

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.
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The table, which depicts great detail, illustrates information regarding
sales
Use synonyms
of four items in a cafe during a usual weekday.
Overall
Linking Words
, it can be observed that the shop was most bustling in the morning, with coffee accounted for the highest figures in the total
sales
Use synonyms
, and tea was the least sold item. Diving deeper, coffee was at the forefront with almost 800 cups sold
especially
Add the comma(s)
, especially
show examples
during the morning which contributed more than 250.
However
Linking Words
, from 10:30 am until 8:30 pm, there were minor declines in
sales
Use synonyms
, dropping to around 185-145, and continued to increase at night. Contrarily, tea
sales
Use synonyms
were significantly lower than the first category since the earnings kept decreasing from 110 to 35 in the morning until 5:30 pm, though it had a marginal rise at night. Turning to baked goods, the number fluctuated throughout the 13-hour period by starting off strong in the morning with 275 pastries sold. It reduced to just below 100 in the afternoon and went up again to 150.
Finally
Linking Words
, regarding the income from sandwiches, it
also
Linking Words
followed a similar fluctuation trend, starting from 50 to 110.
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Conclusion: The conclusion is too long.
Vocabulary: Replace the words sales with synonyms.
Vocabulary: Rephrase the word "information" in your introduction.
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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