The chart below shows the result of a survey about people's coffee and tea buying drinking habits in five Australian cities

The chart below shows the result of a survey about people's coffee and tea buying drinking habits in five Australian cities
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The given bar chart illustrates the survey results in five different metropolises in Australia in terms of drinking and buying
coffee
Use synonyms
and tea in the period of
four
Use synonyms
weeks.
Overall
Linking Words
,
it is clear that
Linking Words
the number of people who attend cafes to have espresso and tea in all
four
Use synonyms
capitals is much higher than buying fresh and instant
coffee
Use synonyms
.
Additionally
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, Adelaide experienced less proportion in the survey in three categories.
to begin
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with, the number of residents who tend to cafes for drinking tea and
coffee
Use synonyms
in Sydney, Melbourne and Hobart was nearly 65% and in Brisbane was just above 55%
while
Linking Words
this
Linking Words
trend is less and around 50 % in Adelaide. Meanwhile, the figures for buying instant
coffee
Use synonyms
were almost the same and ranged from 45 per cent to 55 per cent in
four
Use synonyms
weeks in all five cities. As is shown by the chart, Brisbane and Adelaide saw fewer percentages among other cities in buying fresh
coffee
Use synonyms
category with just below 35 per cent.
Furthermore
Linking Words
, Sydney followed by Melbourne and Hobart witnessed 44%, 42% and 37%, respectively.
Finally
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, the trend of the survey in all three categories in Sydney and Melbourne was the same in
four
Use synonyms
weeks.
Submitted by sh.sharifpour79 on

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Conclusion: The conclusion is too long.
Vocabulary: Replace the words coffee, four with synonyms.
Vocabulary: The word "chart" was used 2 times.
Vocabulary: The word "number of" was used 2 times.
Vocabulary: The word "trend" was used 2 times.
Topic Vocabulary:
  • consumption
  • preference
  • beverage
  • caffeine
  • demographics
  • trend
  • survey
  • cultural significance
  • habit
  • seasonal variation
  • health consciousness
  • availability
  • implications
  • urban vs. rural consumption
  • data interpretation
  • quantitative analysis
  • fluctuations
  • patterns
  • peak times
  • economical impact
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