The illustrations compare the relationship between number of vehicles and emission of CO2 in England and Wales for the next 20 years.
Overall, there are 4 numbers of vehicles have been listed. While the number of cars, trucks and vans has been forecasted to be increased in future, the amount of CO2 has also been predicted to be increased simultaneously.
The number of vehicles has been predicted to be increased steadily for the first 5 years from 2000 to 2005. Then it has been guessed to rise from around 25 million to 35 million for the next five years. The growth of the vehicles then again has been assumed to be remained steady for the last 10 years.
Over the span of the period from 2000 to 2020 the emission of CO2 from car, truck and van have been assumed to grow except from the buses; which have been forecasted to be remained same from the beginning of the period till end. On the other hand, the car has been thought to be the most carbon emitted vehicle in the future. The emission of CO2 from the van has been forecasted to be slightly higher for next two decades. In addition, though the emission of carbon-di-oxide has been predicted to be just 2 tons form the first phase of 10 years, it has been forecasted that the emission of CO2 would rise from 17 tons to around 23 tons almost thrice from that of the last decade.
- The diagram illustrates the process that is used to manufacture bricks for the building industry 78
- Some people believe that teenagers should be required to do unpaid community work in their free time This can benefit teenagers and the community as well To what extent do you agree or disagree 67
- The graph and chart give information and forecast about the vehicle and CO2 emission in England and Wales between 2000 and 2020 67
- The table below gives information about the average annual spending of university students in three different countries 61
- The charts below show the changes in ownership of electrical appliances and amount of time spent doing housework in households in one country between 1920 and 2019 Summarise the information by selecting and reporting the main features and make comparisons 61
Grammar and spelling errors:
Line 3, column 138, Rule ID: IN_PAST[1]
Message: Did you mean: 'in the future'?
Suggestion: in the future
...ans has been forecasted to be increased in future, the amount of CO2 has also been predic...
^^^^^^^^^
Line 7, column 681, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...st thrice from that of the last decade.
^^^^
Transition Words or Phrases used:
also, first, so, then, while, in addition, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 21.0 7.0 300% => Less to be verbs wanted.
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 49.0 33.7804878049 145% => 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: 1106.0 965.302439024 115% => OK
No of words: 247.0 196.424390244 126% => OK
Chars per words: 4.47773279352 4.92477711251 91% => OK
Fourth root words length: 3.96437052324 3.73543355544 106% => OK
Word Length SD: 2.43141594701 2.65546596893 92% => OK
Unique words: 108.0 106.607317073 101% => OK
Unique words percentage: 0.437246963563 0.547539520022 80% => More unique words wanted or less content wanted.
syllable_count: 322.2 283.868780488 114% => 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: 6.0 4.33902439024 138% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 60.589520546 43.030603864 141% => OK
Chars per sentence: 110.6 112.824112599 98% => OK
Words per sentence: 24.7 22.9334400587 108% => OK
Discourse Markers: 6.0 5.23603664747 115% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.173143246868 0.215688989381 80% => OK
Sentence topic coherence: 0.0878861703609 0.103423049105 85% => OK
Sentence topic coherence SD: 0.0713949295761 0.0843802449381 85% => OK
Paragraph topic coherence: 0.136062111404 0.15604864568 87% => OK
Paragraph topic coherence SD: 0.0868256540496 0.0819641961636 106% => OK
Essay readability:
automated_readability_index: 12.0 13.2329268293 91% => Automated_readability_index is low.
flesch_reading_ease: 72.5 61.2550243902 118% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 9.0 11.4140731707 79% => OK
dale_chall_readability_score: 6.94 8.06136585366 86% => OK
difficult_words: 33.0 40.7170731707 81% => More difficult words wanted.
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.