The graph below shows average carbon dioxide (C02) emissions per person in United Kingdom, Sweden, Italy and Portugal between 1967 and 2007.
The graph represents the amount of carbon dioxide emissions have been released throughout four European countries, namely; the UK, Sweden, Italy and Portugal from 1967 to 2007. The units are measured in metric tonnes.
Overall, the carbon dioxide emissions reduced in the UK and Sweden whereas Italy and Portugal showed an incremental trend.
In 1967, the carbon dioxide emissions was the highest for the UK of around 11 metric tonnes, followed by Sweden of about 9 metric tonnes and Italy and Portugal had 4 and 1 metric tonnes respectively. By 1987, the UK decreased constantly to reach at 10 metric tonnes, while the Sweden’s carbon dioxide had a periodic fluctuation of 11 metric tonnes in 1977 before plummeted to about 7 metric tonnes which were the same amount of carbon dioxide emission figure for Italy in 1987. Portugal rose with its carbon dioxide emission release to 3 metric tonnes in the same period.
From 1987 to 2007, all countries’ carbon dioxide emission had the same trend. While the UK and Sweden continued with its decreasing trend, Italy and Portugal had the same incremental trends. By 2007, the UK had around 9 metric tonnes of carbon dioxide emissions whereas Sweden’s carbon dioxide declined constantly to 5 metric tonnes which were the same figure as for Portugal’s carbon dioxide emissions. Concurrently, the carbon dioxide emissions of Italy remained unchanged at close to 8 metric tonnes for a last decade.
- The chart below shows the sales revenue in dollars at three branches of a bank in the first quarter of 2010. 78
- The diagram below shows the stages and equipment used in the cement making process, and how cement is used to produce concrete for building purposes. 56
- The bar graph shows net national income (that's the income earned by the various factors of production in the economy, after the loss of used-up capital equipment has been accounted for) in per capita terms. 56
- The graph below shows the unemployment rates in two European countries since 2000 and predicted unemployment rates until 2020. 73
- The table below gives information about the underground railway systems in six cities. 73
Discourse Markers used:
['whereas', 'while', 'as for']
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance in Part of Speech:
Nouns: 0.316363636364 0.268076937826 118% => OK
Verbs: 0.0981818181818 0.116061578633 85% => OK
Adjectives: 0.0836363636364 0.0759168565197 110% => OK
Adverbs: 0.0254545454545 0.0366838410393 69% => OK
Pronouns: 0.00727272727273 0.0131127313244 55% => OK
Prepositions: 0.123636363636 0.155750635184 79% => OK
Participles: 0.0254545454545 0.0379272487307 67% => OK
Conjunctions: 2.77451106674 2.65546596893 104% => OK
Infinitives: 0.0254545454545 0.0210936926555 121% => OK
Particles: 0.0 0.00175180941692 0% => OK
Determiners: 0.0836363636364 0.0948980150116 88% => OK
Modal_auxiliary: 0.0 0.00437022459523 0% => OK
WH_determiners: 0.00727272727273 0.00967000014798 75% => OK
Vocabulary words and sentences:
No of characters: 1464.0 1161.00487805 126% => OK
No of words: 237.0 196.9 120% => OK
Chars per words: 6.17721518987 5.90752243213 105% => OK
Fourth root words length: 3.92362132708 3.73763899035 105% => OK
words length more than 5 chars: 0.459915611814 0.337110787985 136% => OK
words length more than 6 chars: 0.274261603376 0.247514529752 111% => OK
words length more than 7 chars: 0.172995780591 0.171178102325 101% => OK
words length more than 8 chars: 0.105485232068 0.112407865282 94% => OK
Word Length SD: 2.77451106674 2.65546596893 104% => OK
Unique words: 103.0 106.607317073 97% => OK
Unique words percentage: 0.434599156118 0.546246751206 80% => More unique words wanted or less content wanted.
Word variations: 38.5491282161 49.3433353143 78% => OK
How many sentences: 10.0 8.93414634146 112% => OK
Sentence length: 23.7 23.0094962315 103% => OK
Sentence length SD: 69.6531406327 42.9750493124 162% => OK
Chars per sentence: 146.4 135.714022679 108% => OK
Words per sentence: 23.7 23.0094962315 103% => OK
Discourse Markers: 0.3 0.689975730869 43% => OK
Paragraphs: 4.0 3.84146341463 104% => OK
Language errors: 0.0 1.48048780488 0% => OK
Readability: 51.1261603376 47.7609492067 107% => OK
Elegance: 3.55555555556 2.94281807926 121% => OK
Coherence and Cohesion:
Essay topic to essay body coherence: 0.359102002024 0.418131533498 86% => OK
Sentence sentence coherence: 0.245086897118 0.181151798455 135% => OK
Sentence sentence coherence SD: 0.132245877749 0.0850326197045 156% => OK
Sentence paragraph coherence: 0.709259653375 0.706616315825 100% => OK
Sentence paragraph coherence SD: 0.183434861246 0.157042692854 117% => OK
Sentence topic coherence: 0.217932855349 0.228904883108 95% => OK
Sentence topic coherence SD: 0.0985322777616 0.108899403657 90% => OK
Paragraph paragraph coherence: 0.482099198605 0.367819155151 131% => OK
Paragraph paragraph coherence SD: 0.15639774958 0.0812612215331 192% => OK
Paragraph topic coherence: 0.322347634218 0.316326947829 102% => OK
Paragraph topic coherence SD: 0.0521630833315 0.0921553760075 57% => OK
Task Achievement:
Sentences with positive sentiment : 2.0 3.70731707317 54% => OK
Sentences with negative sentiment : 0.0 1.14146341463 0% => OK
Sentences with neutral sentiment: 8.0 4.08536585366 196% => Less neutral sentences wanted.
Positive topic words: 2.0 3.16585365854 63% => OK
Negative topic words: 0.0 0.956097560976 0% => OK
Neutral topic words: 7.0 3.02926829268 231% => OK
Total topic words: 9.0 7.1512195122 126% => OK
What are sentences with positive/Negative/neutral sentiment?
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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: This is not the final score. 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.