The line graph and the bar chart give the information and forecast about the vehicle numbers and CO2 emission in England and Wales between 2000 and 2020. Summarize the information by selecting and reporting the main features and make comparisons where relevant.
The given line graph depicts the number of vehicles in England and Wales from 2000 to the present time and also gives predictions upto 2020. The bar chart gives the information on the amount of CO2 emissions by four different forms of transport, which are cars, buses, vans and trucks over the same period.
There were nearly 20,000,000 vehicles in England and Wales in 2000. Then, the total number went up slightly to 35 million in the following 10 years and is expected to experience a rapid upward tendency reaching around 60 million by 2020.
The column graph shows four primary sources of CO2 emission. Cars emitted the largest amount of CO2 from 2000 to 2010 and this trend is predicted to continue and reach 3 tonnes by 2020. Interestingly, the trucks went through and forecast a similar trend as cars but the total amount is significantly less, from 0.6 tonnes in 2000 to 1.3 tons in 2020. The emission of CO2 from buses and vans is likely to keep steady at around 0.4 and 0.6 tons respectively.
Overall, vehicle numbers are expected to increase in future, and the CO2 emissions are also expected to escalate in future.
- The table and chart below show the time spent at leisure and household activities in Britain.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 73
- The line graph and the bar chart give the information and forecast about the vehicle numbers and CO2 emission in England and Wales between 2000 and 2020 Summarize the information by selecting and reporting the main features and make comparisons where rele 73
- The table and chart below show the time spent at leisure and household activities in Britain Summarise the information by selecting and reporting the main features and make comparisons where relevant 85
Grammar and spelling errors:
Line 7, column 51, Rule ID: IN_PAST[1]
Message: Did you mean: 'in the future'?
Suggestion: in the future
...ehicle numbers are expected to increase in future, and the CO2 emissions are also expecte...
^^^^^^^^^
Line 7, column 114, Rule ID: IN_PAST[1]
Message: Did you mean: 'in the future'?
Suggestion: in the future
...emissions are also expected to escalate in future.
^^^^^^^^^
Transition Words or Phrases used:
also, but, if, so, then
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 12.0 6.8 176% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 37.0 33.7804878049 110% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 937.0 965.302439024 97% => OK
No of words: 198.0 196.424390244 101% => OK
Chars per words: 4.73232323232 4.92477711251 96% => OK
Fourth root words length: 3.75116612262 3.73543355544 100% => OK
Word Length SD: 2.47470624579 2.65546596893 93% => OK
Unique words: 110.0 106.607317073 103% => OK
Unique words percentage: 0.555555555556 0.547539520022 101% => OK
syllable_count: 268.2 283.868780488 94% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 38.396887734 43.030603864 89% => OK
Chars per sentence: 104.111111111 112.824112599 92% => OK
Words per sentence: 22.0 22.9334400587 96% => OK
Discourse Markers: 2.55555555556 5.23603664747 49% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.284413260361 0.215688989381 132% => OK
Sentence topic coherence: 0.110512360331 0.103423049105 107% => OK
Sentence topic coherence SD: 0.0656025923057 0.0843802449381 78% => OK
Paragraph topic coherence: 0.164749784629 0.15604864568 106% => OK
Paragraph topic coherence SD: 0.0944143038907 0.0819641961636 115% => OK
Essay readability:
automated_readability_index: 11.8 13.2329268293 89% => Automated_readability_index is low.
flesch_reading_ease: 66.07 61.2550243902 108% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 10.15 11.4140731707 89% => OK
dale_chall_readability_score: 8.08 8.06136585366 100% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 9.0 11.4329268293 79% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.