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
The chart illustrates the outcome of an observation about citizens' coffee and tea buying drinking usage in five Australian urban. Looking from an
overall
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
, 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
, 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
inspection demonstrates the percentage of city residents who went to a cafe for caffeine or tea in the previous 4 weeks.
While
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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