The graph below shows the average number of UK commuters travelling each day by car, bus
or train between 1970 and 2030.
The line graph illustrates information about the number of commuters who used three categories of transports, namely car, bus and train in the UK over the course of 60 years starting in 1970.
Overall, it is immediately obvious that there were a considerable upward trend in the number of commuters using car and train over the period shown, while the figure for Bus fell steadily.
Looking at the details, around 5 million of commuters travelling each day by car, which was the highest number in 1970, while the figures for bus and train were lower, stood at above 4 million and under 2 million. Despite having remained stable at approximately 4 million from 1970 to 1980, the figure for bus will fell steadily to just under 3 million in 2030.
By contrast, If we look at the number of people using car to go to work, having remained at above 5 million from 1970 to 1980, then the figure rose considerably to above 7 million in 2000. After that, car is expected to become the most common form of transport, reach the peak at about 9 million in 2030, which is the highest point of the whole graph. As regards Train, there was a steady increase in the number of people, from above 2 million in 1970 to exactly 3 million in 2000, at which point it levelled off at just around 3 million until 2010. And finally, the figure for train is predicted to rise considerably to nearly 5 million in 2030.
- The graph below shows the differences in wheat exports over three different areas.Write a report for a university lecturer describing the information shown below. 42
- The graph below shows the average number of UK commuters travelling each day by car, busor train between 1970 and 2030. 73
- The graph below shows the average number of UK commuters travelling each day by car, busor train between 1970 and 2030. 73
- You should spend about 20 minutes on this task.The graph below shows female unemployment rates in each country of the United Kingdom in 2013 and 2014.Summarise the information by selecting and reporting the main features, and make comparisons where releva 95
- The table below highlights data on the number of travellers using three major British airports between 1998 and 2003 86
Transition Words or Phrases used:
finally, if, look, then, while, as regards
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 59.0 33.7804878049 175% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1153.0 965.302439024 119% => OK
No of words: 253.0 196.424390244 129% => OK
Chars per words: 4.55731225296 4.92477711251 93% => OK
Fourth root words length: 3.98822939669 3.73543355544 107% => OK
Word Length SD: 2.47296936837 2.65546596893 93% => OK
Unique words: 127.0 106.607317073 119% => OK
Unique words percentage: 0.501976284585 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 335.7 283.868780488 118% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 5.0 1.07073170732 467% => Less adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 31.0 22.4926829268 138% => The Avg. Sentence Length is relatively long.
Sentence length SD: 34.7769679529 43.030603864 81% => OK
Chars per sentence: 144.125 112.824112599 128% => OK
Words per sentence: 31.625 22.9334400587 138% => OK
Discourse Markers: 5.25 5.23603664747 100% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.222011783504 0.215688989381 103% => OK
Sentence topic coherence: 0.11717625827 0.103423049105 113% => OK
Sentence topic coherence SD: 0.0602585459451 0.0843802449381 71% => OK
Paragraph topic coherence: 0.160225266879 0.15604864568 103% => OK
Paragraph topic coherence SD: 0.0424547065491 0.0819641961636 52% => OK
Essay readability:
automated_readability_index: 15.9 13.2329268293 120% => OK
flesch_reading_ease: 65.39 61.2550243902 107% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.8 10.3012195122 115% => OK
coleman_liau_index: 9.76 11.4140731707 86% => OK
dale_chall_readability_score: 7.61 8.06136585366 94% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 18.5 11.4329268293 162% => OK
gunning_fog: 14.4 10.9970731707 131% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.