The pie chart below shows the frequency of U.S. Adults’ online purchasing habits in 2015, while the bar chart shows a further classification denoting online purchasing preferences. Summarise the data by selecting and reporting the main features and make comparisons where relevant.

The pie chart below shows the frequency of U.S. Adults’ online purchasing habits in 2015, while the bar chart shows a further classification denoting online purchasing preferences. Summarise the data by selecting and reporting the main features and make comparisons where relevant.
The line graph illustrates the
age
and
crime
relationship,
while
the pie
chart
describes the types of
crime
in the UK,
last
year.
Overall
, it is clear from the line graph that the highest
crime
rate
is between the ages of 16 and 24. The data on the pie
chart
reveals that the most popular
crime
is violent
crime
,
while
public order
crime
is the least popular
crime
in the UK. The peak of the
crime
rate
took place between the ages of 12 and 16. The highest number is 80 tens of thousands at the
age
of 20. After the
age
of 20, the
crime
rate
decreased sharply until 28. After the
age
of 28, the
crime
rate
started to fall off slightly. The biggest portion on the pie
chart
is violent
crime
with 46 per
cent
, followed by property
crime
with
Change preposition
at
show examples
23 per
cent
and drug
crime
with
Change preposition
at
show examples
22 per
cent
. The public order
crime
took the smallest place on the
chart
, with 9 per
cent
.
Submitted by enver07600 on

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Sentences: Add more complex sentences.
Linking words: Don't use the same linking words: "while".
Vocabulary: Replace the words age, crime, chart, rate, cent with synonyms.
Vocabulary: The word "chart" was used 4 times.
Vocabulary: The word "graph" was used 2 times.

You are not ready for IELTS Speaking, if you

  • Can’t speak smoothly without pauses.
  • Use simple words and lack vocabulary.
  • Feel nervous and anxious when speaking.
Topic Vocabulary:
  • pie chart
  • bar chart
  • online purchasing habits
  • frequency
  • classification
  • summarise
  • main features
  • comparisons
  • demographics
  • consumer trends
  • e-commerce
  • data interpretation
  • purchasing categories
  • fiscal analysis
  • technological influence
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