The chart below show the percentage of students joining North West University

The chart below show the percentage  of students joining North West University
The pie diagrams illustrate the number of students who entered
North West
Add a hyphen
North-West
show examples
University.
Overall
,the first
chart
demonstrates per cent of students by faculty,
while
the second one shows per cent of students from different countries.
Firstly
,
it is clear that
in the first ,
chart
the leader is the "Arts"
section
with 23%,
however
, it only differs by 1% with the "Computing" part.
Moreover
,
this
section
also
has a number higher of 1% than the "Science"
section
.Other parts of the diagram are less than 15%.The most significant of them is the "Business" aspect which has 14%."Engineering","Medicine", and "Law" sections are unremarkable and together have 20%.
Secondly
,the second
chart
has more significant aspects.It is seen easily,that the total leader of the
chart
is "South American" which has 79%.
In contrast
to
this
other parts barely have some per cents,except the "European"
section
which is in second place with 21%.The total outsider of the two charts is the "African"
section
which only has 2%
Submitted by andriykolomiyets12 on

Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Writing9 with appropriate and specific direction to the original content.

Vocabulary: Replace the words chart, section with synonyms.
Vocabulary: Only 6 basic words for charts were used.
Vocabulary: The word "chart" was used 5 times.
Vocabulary: The word "diagrams" was used 2 times.
Vocabulary: The word "significant" was used 2 times.
Topic Vocabulary:
  • enrollment
  • demographics
  • percentages
  • academic year
  • trends
  • gender distribution
  • faculties
  • departments
  • domestic
  • international
  • academic disciplines
  • economic conditions
  • scholarship
  • reputation
  • growth
  • parity
  • data analysis
  • popularity
  • external factors
  • predictive modeling
What to do next:
Look at other essays: