The line graph below depicts the mean of carbon dioxide (CO2) which is emitted by each person in four different countries (United Kingdom, Sweden, Italy, and Portugal) during 40 year period. Overall, it is readily apparent that Italy and Portugal showed upward trends while United Kingdom and Sweden had downward trends.
In detail, in 1967 Italy and Portugal had average CO2 emissions of approximately 4.2 metric tonnes, and roughly 1.8 metric tonnes, respectively. The number then kept increasing until 1997, where Italy reached about 7.8 metric tonnes while Portugal reached around 4.5 metric tonnes. After that, both Italy and Portugal experienced steady trend where both of their CO2 emissions number did not change in 2007.
Meanwhile, United Kingdom and Sweden's trends began at approximately 10.5 metric tonnes and around 8.5 metric tonnes, respectively in 1967. Next, while in 1977 United Kingdom's CO2 emissions number dropped into around 10.5 metric tonnes, Sweden's number climbed into around 10.3 metric tonnes. After that, United Kingdom's CO2 emissions number decreased steadily into 10 metric tonnes while Sweden experienced significant decrease into around 7 metric tonnes in 1987. Lastly, until 2007 both countries' CO2 emissions numbers kept decreasing into around 10.5 metric tonnes for United Kingdom, and approximately 5.8 metric tonnes for Sweden.
- Some people believe that it is good to share as much information as possible in scientific research business and the academic world Others believe that some information is too important or too valuable to be shared freely Discuss both the views and give o 67
- Some people believe that it is good to share as much information as possible in scientific research business and the academic world Others believe that some information is too important or too valuable to be shared freely Discuss both the views and give o 67
- the two maps below show road access to a city hospital in 2007 and in 2010.Summarise the information by selecting and reporting the main features, and make comparisons where relevant 67
- The charts below show the average percentages in typical meals of three types of nutrients all of which may be unhealthy if eaten too much Summarise the information by selecting and reporting the main features and make comparisons where relevant 73
- The chart below shows the average percentages in typical meals for three types of nutrients all of which may be unhealthy if eaten too much
Grammar and spelling errors:
Line 1, column 10, Rule ID: MASS_AGREEMENT[2]
Message: Possible agreement error - use third-person verb forms for singular and mass nouns: 'graphs'.
Suggestion: graphs
The line graph below depicts the mean of carbon dioxid...
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Transition Words or Phrases used:
if, lastly, so, then, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 2.0 7.0 29% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 30.0 33.7804878049 89% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1160.0 965.302439024 120% => OK
No of words: 208.0 196.424390244 106% => OK
Chars per words: 5.57692307692 4.92477711251 113% => OK
Fourth root words length: 3.79765784423 3.73543355544 102% => OK
Word Length SD: 2.36733815515 2.65546596893 89% => OK
Unique words: 110.0 106.607317073 103% => OK
Unique words percentage: 0.528846153846 0.547539520022 97% => OK
syllable_count: 337.5 283.868780488 119% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 4.0 1.07073170732 374% => Less adverbial clause wanted.
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 20.0634795057 43.030603864 47% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 128.888888889 112.824112599 114% => OK
Words per sentence: 23.1111111111 22.9334400587 101% => OK
Discourse Markers: 3.0 5.23603664747 57% => More transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 9.0 3.70975609756 243% => Less positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 0.0 4.09268292683 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.272208623448 0.215688989381 126% => OK
Sentence topic coherence: 0.140921985904 0.103423049105 136% => OK
Sentence topic coherence SD: 0.0661479387888 0.0843802449381 78% => OK
Paragraph topic coherence: 0.216825476739 0.15604864568 139% => OK
Paragraph topic coherence SD: 0.0836061850505 0.0819641961636 102% => OK
Essay readability:
automated_readability_index: 16.4 13.2329268293 124% => OK
flesch_reading_ease: 48.13 61.2550243902 79% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 12.3 10.3012195122 119% => OK
coleman_liau_index: 15.38 11.4140731707 135% => OK
dale_chall_readability_score: 8.35 8.06136585366 104% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 11.0 11.0658536585 99% => 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.