The graphs below show the average daily hours of sunshine and the average monly temperature in Darwin and Melbourne. Summarise the information by selecting and reporting the main features, and make comparison where relevant.

The graphs below show the average daily hours of sunshine and the average monly temperature in Darwin and Melbourne. Summarise the information by selecting and reporting the main features, and make comparison where relevant.
The table illustrates the total amount of waste produced by cities and towns of Japan, Korea, Ireland, Portugal, Poland and
USA
Correct article usage
the USA
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in the years 1980,1990 and 2000. Units are measured in millions of tonnes.
Overall
, the most evident
conclusions
Fix the agreement mistake
conclusion
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are
Correct subject-verb agreement
is
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that the USA recorded the highest waste producer throughout the period.
While
,
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apply
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japan was the lowest producer. Korea and
poland
Change the capitalization
Poland
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experienced a downward trend. At the beginning of the period,
korea
Change the capitalization
Korea
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was not produced waste and it made up 31 in 1990.
However
Add a comma
However,
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it decreased in 2000. Poland witnessed a slight down in 2000.
USA
Correct article usage
The USA
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was the prominent category and it dramatically increased
at the end
of the period. Ireland was at 20 in 1980, and it doubled after 10 years.
Submitted by dshansika97 on

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Common mistake: Your writing should be 150-250 words.
Vocabulary: Use several vocabularies to present the data in the second paragraph.
Topic Vocabulary:
  • average daily sunlight
  • average monthly temperature
  • comparison
  • seasonal variations
  • geographical location
  • tropical climate
  • temperate climate
  • weather patterns
  • Darwin
  • Melbourne
  • temperature fluctuations
  • maximum temperatures
  • minimum temperatures
  • sunlight hours
  • degree Celsius
  • bar chart
  • line graph
  • to fluctuate
  • peak sunlight/temperature
  • troughs in temperature
  • overcast days
  • climatic conditions
  • thermal range
  • extremes of weather
  • meteorological data
  • data interpretation
  • data summary
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