The table below shows the amount fish caught, in thousands tonnes , in 2008 and 2015 by eight European country.
The chart illustrates how much fish being captured by eight country's in Europe in two separate years, 2008 and 2015. Units are measured in thousands of tonnes.
Amongst the country's given,six of which including the total amount of fish being captured increased, In Spain, Italy and Lativa figures declined. However, Spain remains steady with the highest amount in both years.
Although the total amount of fish caught went up from 3000 tonnes with around 14 thousand tonnes rose in 2015, in Italy, Spain and Lativa went down to approximately 50 and 66 thousand tonnes respectively. Whereas, Spain accounted for 194thousand tonnes drop and yet marked as the biggest amount over the 7 years.
Of all the countries that climbed its figures, Denmark stayed the same as the second-highest over the period with 200thousand tonnes increased. Similarly, in Germany and Ireland gained only around 22 to 23 thousand tonnes respectively, while Belgium from 22 to 24 thousand tonnes in the end year. The lowest amount recorded was in Cyprus which began from a thousand tonnes to just 2 thousand tonnes in 2015.
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- The graphs below shows the average CO2 emissions per person in the UK Sweden Portugal and Italy from 1967 to 2007 89
- The graph below shows the quantities of goods transported in the UK between 1974 and 2002 by four different mode of transport. 56
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Grammar and spelling errors:
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...s are measured in thousands of tonnes. Amongst the countrys given,six of which ...
^^^
Line 3, column 27, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , six
...f tonnes. Amongst the countrys given,six of which including the total amount of ...
^^^^
Line 5, column 121, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... thousand tonnes rose in 2015, in Italy, Spain and Lativa went down to approximat...
^^
Transition Words or Phrases used:
however, second, similarly, whereas, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 2.0 5.60731707317 36% => OK
Preposition: 33.0 33.7804878049 98% => 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: 927.0 965.302439024 96% => OK
No of words: 181.0 196.424390244 92% => More content wanted.
Chars per words: 5.12154696133 4.92477711251 104% => OK
Fourth root words length: 3.66791821706 3.73543355544 98% => OK
Word Length SD: 2.62104478537 2.65546596893 99% => OK
Unique words: 109.0 106.607317073 102% => OK
Unique words percentage: 0.602209944751 0.547539520022 110% => OK
syllable_count: 258.3 283.868780488 91% => 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: 2.0 4.33902439024 46% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 45.3000967486 43.030603864 105% => OK
Chars per sentence: 103.0 112.824112599 91% => OK
Words per sentence: 20.1111111111 22.9334400587 88% => OK
Discourse Markers: 4.66666666667 5.23603664747 89% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
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: 0.316084835043 0.215688989381 147% => OK
Sentence topic coherence: 0.125554739429 0.103423049105 121% => OK
Sentence topic coherence SD: 0.0803390740701 0.0843802449381 95% => OK
Paragraph topic coherence: 0.184581139325 0.15604864568 118% => OK
Paragraph topic coherence SD: 0.0627183462273 0.0819641961636 77% => OK
Essay readability:
automated_readability_index: 12.7 13.2329268293 96% => OK
flesch_reading_ease: 68.1 61.2550243902 111% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 12.42 11.4140731707 109% => OK
dale_chall_readability_score: 8.82 8.06136585366 109% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 10.0 10.9970731707 91% => 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.