The chart below shows how frequently people in the USA ate in fast food restaurants between 2003 and 2013. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

The chart below shows how frequently people in the USA ate in fast food restaurants between 2003 and 2013. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The bar reflects the recurrent fast cuisine consumption by the citizens of the United States of America from 2003 to 2013. To commence with,
it is clear that
the people of America mainly eat dine-in fast cooks at least once a week or once or twice a month. Meanwhile, those who spend on served foodstuffs every day have the lowest rate set by side to all. As a whole, quickly-served meals mostly taken out at least 1 out of 7 days or more than twice a month, followed by every day and never have been ordered are the rarest.
Furthermore
, from the chart, it can be seen that from 2003 to 2006, junk substances eaten in place at least once a week reached the highest rate, at approximately 32% and nearly 35% respectively. Continued the sum of junk beverage consumption up to twice a month, starting with a percentage of 30% and slightly decreasing to 7%
then
rising to almost 3%.
Moreover
, the maximum rate of people visiting the cafeteria for several days in 7 days made it to 20%, happening in 2006,
while
in 2003 and 2013 they equally hit lower at the very least 16%. Meanwhile, coming to the bar a few times a year is equally at 15% in 2006 and 2013, each in order.
By contrast
, consumers who have never eaten convenience food are more dominant compared to those who have consumed it every day.
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Introduction: The introduction is missing.
Introduction: The chart intro is missing.
Introduction: The chart intro is missing.
Topic Vocabulary:
  • fast food consumption
  • dining frequency
  • decade overview
  • trend analysis
  • to dine out
  • fluctuation
  • sharp increase
  • gradual decline
  • eating habits
  • statistical comparison
  • consuming pattern
  • noteworthy change
  • anomaly
  • periodic comparison
  • data interpretation
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