the graph and chart give information and forecast about the vehicle and CO2 emission in England and Wales between 2000 and 2020.
The provided figures provide information and prediction about the number of vehicles and the amount of CO2 released in England and Wales between 2000 and 2020.
Overall, It is obvious that there is a striking similarity in the increase of CO2 emission and number of vehicle.
The amount of CO2 released by cars and trucks was at 20 and 15 tons respectively in 2000. These figures are predicted to rapidly increase to over 25 tons for cars and 23 tons for trucks by 2020. Similarly, the CO2 emission by vans is 13 tons in 2000 and is expected to rise steadily to 15 tons by 2020. However, buses, interestingly, are vehicles that released the least CO2 at 9 tons. This figure is anticipated to be remained stable.
The number of vehicles on the roads was 20 millions in 2000. Then, it started to increase sharply in 2005 to reach 50 millions in 2015 and is forecasted to 55 millions by 2020.
- Nowadays the way many people interact with each other has changed because of technology. In what ways has technology affected the types of relationships people make? Has this become a positive or negative development? 61
- The chart below shows the percentage of households in owned and rented accommodation in England and Wales between 1918 and 2011.Summarize the information by selecting and reporting the main features, and make comparisons where relevant (at least 150 words 61
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.Summarise the information by selecting and reporting the main features and make 56
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.Summarise the information by selecting and reporting the main features and make 56
- The diagrams below show the stages and equipment used in the cement-making process, and how cement is used to produce concrete for building purposes. 73
Transition Words or Phrases used:
however, similarly, then
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 7.0 157% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 32.0 33.7804878049 95% => 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: 738.0 965.302439024 76% => OK
No of words: 161.0 196.424390244 82% => More content wanted.
Chars per words: 4.58385093168 4.92477711251 93% => OK
Fourth root words length: 3.56210296601 3.73543355544 95% => OK
Word Length SD: 2.63544405589 2.65546596893 99% => OK
Unique words: 81.0 106.607317073 76% => More unique words wanted.
Unique words percentage: 0.503105590062 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 216.0 283.868780488 76% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 1.53170731707 261% => Less pronouns wanted as sentence beginning.
Article: 4.0 4.33902439024 92% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 0.0 3.36585365854 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 30.7900096031 43.030603864 72% => OK
Chars per sentence: 82.0 112.824112599 73% => OK
Words per sentence: 17.8888888889 22.9334400587 78% => OK
Discourse Markers: 2.66666666667 5.23603664747 51% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 8.0 3.70975609756 216% => Less positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.305594708377 0.215688989381 142% => OK
Sentence topic coherence: 0.118497070421 0.103423049105 115% => OK
Sentence topic coherence SD: 0.108841947699 0.0843802449381 129% => OK
Paragraph topic coherence: 0.190082664708 0.15604864568 122% => OK
Paragraph topic coherence SD: 0.122302833046 0.0819641961636 149% => OK
Essay readability:
automated_readability_index: 9.1 13.2329268293 69% => Automated_readability_index is low.
flesch_reading_ease: 79.6 61.2550243902 130% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 6.4 10.3012195122 62% => OK
coleman_liau_index: 8.99 11.4140731707 79% => OK
dale_chall_readability_score: 7.52 8.06136585366 93% => OK
difficult_words: 31.0 40.7170731707 76% => More difficult words wanted.
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 8.8 10.9970731707 80% => 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.