The two-line graphs illustrate the percentage of trains, from a particular company, that were either cancelled or running late in October and November in 2008.
Looking at the graph, it is immediately obvious that the proportion of train trips that were delayed and cancelled both witnessed fluctuations strong over the period shown. Additionally, the highest rate of the trains cancelled happened in 2nd week of October, while the figure for late trains also in the 2nd week of November.
In the first week of October, about 20% of all trains did not run on time. The figure rose slightly during the next week before dropping to around 5% in the last week of October. In contrast, when came November, more half of all trains ran late more than the schedule in the second week in November, followed by a mild fall to 40% in the third week.
Only 1% of train tours was not operated in the first week. However, the percentage of trains that were cancelled reached a peak of 7% in the second week but later dipped back to the initial figure. After that, there was a significant oscillation in the rest of the period, with about 4% of all trains being cancelled in the final week.
The two-line graphs illustrate the percentage of
trains
, from a particular
company
, that were either
cancelled
or running late in October and November in 2008.
Looking at the graph, it is immediately obvious that the proportion of
train
trips that
were delayed
and
cancelled
both witnessed fluctuations strong over the period shown.
Additionally
, the highest rate of the
trains
cancelled
happened in 2nd
week
of October, while the figure for late
trains
also
in the 2nd
week
of November.
In the
first
week
of October, about 20% of all
trains
did not run on time. The figure rose
slightly
during the
next
week
before
dropping to around 5% in the last
week
of October.
In contrast
, when came November, more half of all
trains
ran late more than the schedule in the second
week
in November, followed by a mild fall to 40% in the third week.
Only
1% of
train
tours was not operated in the
first
week
.
However
, the percentage of
trains
that were
cancelled
reached a peak of 7% in the second
week
but
later dipped back to the initial figure. After that, there was a significant oscillation in the rest of the period, with about 4% of all
trains
being
cancelled
in the final
week
.
7Linking words, meeting the goal of 7 or more
23Repeated words, meeting the goal of 3 or fewer
0Mistakes