The bar and line chart below shows average monthly temperatures and bathing suit sales in New York for the first 6 months of 2012. Summarise the information by selecting and reporting the main features, and make comparisons where relevant

The bar and line chart below shows average monthly temperatures and bathing suit sales in New York for the first 6 months of 2012.

Summarise the information by selecting and reporting the main features, and make comparisons where relevant
The given line and bar graphs represent the data related to the mean monthly
temperature
and revenues of the bathing costumes in
the
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New York
city
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City
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in 2012 respectively.
Overall
, there was an increasing trend in the average
temperature
while
the revenue generated by selling bathing suits showed a fluctuation. looking into details, the earnings from the sales of bath suits, started at 100 thousand USD in January,
then
increased significantly during
thee
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the
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next 3 months and came to a peak at nearly $290000 in April. During the rest of the observation period income experienced a drastic reduction and reached
to
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a value closer to 10000 USD in the month of June .
On the other hand
,
average
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the average
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temperature
started at 30 Fahrenheit and kept the same value for the coming month as well. Following that,
average
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the average
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temperature
rocketed to 65 Fahrenheit in the rest of the given months. It is obvious to note that as the
temperature
went on increasing the usage of the bathing items significantly reduced as most of the people do not engage in swimming activities in very hot months.
Submitted by wm.asanka.sandaruwan on

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Sentences: Add more complex sentences.
Vocabulary: Replace the words temperature with synonyms.
Vocabulary: The word "give" was used 2 times.
Vocabulary: The word "significantly" was used 2 times.
Topic Vocabulary:
  • average monthly temperatures
  • bathing suit sales
  • correlation
  • monthly breakdown
  • significant changes
  • warmest months
  • speculate
  • trends
  • increase in temperature
  • contrasting
  • predictive speculation
  • general trends
  • specific months
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