The pie-chart illustrates by providing statistics about how scholars selecting different types of abroad languages (such as French, Spanish, Italian, German, Russian )in the United kingdom in two years 2009 and 2014.
Overall, In the time of 2009 students were choosing french language for studies in the UK which shows highest proportion of languages in pie chart. Whereas the ratio of french language displays decreases after four year in 2014.
In past time of 2009 pupils were electing various types of dialect in the UK.
French was the favourite language which shows 43% record which represents first position in the chart. Whereas in 2014 it deducts from 43% to 34%. Secondly, Italian toungue helds second highest postion and its vicinity contribution was spanish language which allotment was 20% and 16% respectively in 2009. To comapre in 2014 the little amount of scale increases for both of dialects which helds same numerical data for both languages that was 24%.
Meanwhile, In the chart of 2009 the least amount of contribution caught in Russian language which part was 9% that quite near to German language which included 12% of the chart. On the other hand in 2014 the amount of 9% reduce to the 8% and the content of 12% subtract to the 10%.
The pie-chart illustrates by providing statistics about how scholars selecting
different
types of abroad
languages
(such as French, Spanish, Italian, German, Russian
)
in the
United kingdom
in two years 2009 and 2014.
Overall
, In the time of 2009 students were choosing
french
language
for studies in the UK which
shows
highest
proportion of
languages
in pie
chart
. Whereas the ratio of
french
language
displays decreases after four year in 2014.
In
past time
of 2009 pupils were electing various types of dialect in the UK.
French was the
favourite
language
which
shows
43% record which represents
first
position in the
chart
.
Whereas
in 2014 it deducts from 43% to 34%.
Secondly
, Italian
toungue
helds
second highest
postion
and its vicinity contribution was
spanish
language
which allotment was 20% and 16%
respectively
in 2009. To
comapre
in 2014 the
little
amount of scale increases for both of dialects which
helds
same numerical data for both
languages
that was 24%.
Meanwhile, In the
chart
of 2009 the least amount of contribution caught in Russian
language
which part was 9% that quite near to German
language
which included 12% of the
chart
.
On the other hand
in 2014 the amount of 9%
reduce
to the 8% and the content of 12% subtract to the 10%.