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 chart illustrates the outcome of an observation about citizens' coffee and tea buying drinking usage in five Australian urban. Looking from an
overall
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perspective, it is readily apparent that routine of Sydney is the highest city which bought fresh caffeine in the previous 4 past the given fact with just below 45%,
On the other hand
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, Brisbane has the lowest bonus of bought fresh cappuccino in gone 4 weeks with just under 35% percentage. Fresh espresso bought in the past 4 weeks is different in 3 remained towns Melbourne at just over 40%, Adelaide at almost 35%, and Hobart at approximately 40%. The graph shows that metropolitan areas bought instant cappuccino in the remaining 4 ages. Hobart City led the information with just below 55%,
whereas
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, Brisbane placed second with just over 50%. The other numbers are unnoticeable in Adelaide with exactly 50%. Melbourne and Sydney are fluctuating between 45% to 50%. The
last
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inspection demonstrates the percentage of city residents who went to a cafe for caffeine or tea in the previous 4 weeks.
While
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Hobart and Melbourne are displaying the same
percent
Replace the word
percentage
show examples
, Sydney, Brisbane, and Adelaide, are set at just over 45%,between 50% and 55%, and just below 50%, respectively.
Submitted by Zolboo on

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Vocabulary: Rephrase the word "undefined" in your introduction.
Vocabulary: The word "percentage" was used 2 times.
Vocabulary: The word "just over" was used 3 times.
Vocabulary: The word "just below" was used 3 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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