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 bar chart illustrates the drinking habits and buying
coffee
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and tea in different Australian cities which are
Sdyney
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Sydney
, Melbourne, Brisbane, Adelaide, and Hobart.
Overall
Linking Words
, the number of
coffee
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is more demanding than the fresh
coffee
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for all areas.
According to
Linking Words
the results, the percentage of the Hobart resistants instant
coffee
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is at around 55%,
however
Linking Words
, the fresh
coffee
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is at nearly 37% which is the best difference observed.
Similarly
Linking Words
, Brisbane has a huge range between the two types at around 20%.
On the other hand
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, the smallest difference belongs to Sdyney which is nearly 2%. Another important data is drinking preference in cafes or other places. The percentage of Hobart and Melbourne citizens who choose to go to cafes at approximately 63% which is nearly similar to each other.
Otherwise
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, half per cent of individuals from Adelaide has the smallest per cent for habits. In conclusion, going cafe for drinking is popular in several areas of Australia.
Also
Linking Words
, a huge amount of citizens
buys
Correct subject-verb agreement
buy
show examples
instant
coffee
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instead
Linking Words
of fresh
coffee
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.
Submitted by diland701 on

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Sentences: Add more complex sentences.
Vocabulary: Replace the words coffee with synonyms.
Vocabulary: The word "difference" was used 2 times.
Vocabulary: The word "percentage" was used 2 times.
Vocabulary: The word "nearly" was used 3 times.
Vocabulary: The word "around" 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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