the tables below give information about sales of fairtrade labelled coffee and bananas in 1999 and 2004 in five european contries Summarise the informationby selecting and reporting the main features and make comparisons where relevant

Essay topics:

the tables below give information about sales of fairtrade-labelled coffee and bananas in 1999 and 2004 in five european contries.
Summarise the informationby selecting and reporting the main features, and make comparisons where relevant.

"The two table demonstrate data about the amount of money spent on Fairtrade-labelled coffee and bananas of five European nations in 1999 and 2004. The data was measured in million of euros. Overall, both coffee and bananas in the UK were the biggest buyers of coffee and bananas than the other contries.
According to the given data. In 1999,Switzerland was of the amount of low money spent which was on coffee. The largest buyer of this Fairtrade product with 3 million of euros spent in Denmark. UK, Belgium, and Sweden sales were at 1.8, 1.5, 1, 0.8 respectively. However, in 2004, UK experienced a huge increment in coffee sales became which was 18.5 million of euros more and Switzerland was doubled their sales figured in 1999. On the other hand, Denmark, Belgium, and Sweden were the amount of money that spent on coffee which was almost unchanged in 2004.
Meanwhile, Bananas definitely had a faster rate of development in five years. Only in 1999, the UK already paid 15 million of euros for banana sales while the number of the others were under 2 million of euros. Despite that only Belgium and Sweden were paid insignificantly less in 2004 then 1999, the amount of money spent on importing bananas in 2004 had increased greatly. The UK showed a large change from 1999 by adding 32 million of euros to the sale figures while Switzerland had risen their figure from 1 to 5.5 million of euros."

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2022-02-08 mahya25 56 view
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Comments

Grammar and spelling errors:
Line 1, column 179, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...1999 and 2004. The data was measured in million of euros. Overall, both coffee and bana...
^^^^^^^
Line 1, column 239, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...erall, both coffee and bananas in the UK were the biggest buyers of coffee and ba...
^^
Line 2, column 506, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...and Sweden were the amount of money that spent on coffee which was almost unchang...
^^
Line 3, column 482, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...os to the sale figures while Switzerland had risen their figure from 1 to 5.5 mil...
^^

Transition Words or Phrases used:
however, if, then, while, on the other hand

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 : 8.0 6.8 118% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 46.0 33.7804878049 136% => 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: 1172.0 965.302439024 121% => OK
No of words: 245.0 196.424390244 125% => OK
Chars per words: 4.78367346939 4.92477711251 97% => OK
Fourth root words length: 3.95632099841 3.73543355544 106% => OK
Word Length SD: 2.67699098175 2.65546596893 101% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.502040816327 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 348.3 283.868780488 123% => 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: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 3.36585365854 149% => OK

Performance on sentences:
How many sentences: 13.0 8.94146341463 145% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 46.358903449 43.030603864 108% => OK
Chars per sentence: 90.1538461538 112.824112599 80% => OK
Words per sentence: 18.8461538462 22.9334400587 82% => OK
Discourse Markers: 3.30769230769 5.23603664747 63% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 4.0 1.69756097561 236% => Less language errors wanted.
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.187469292061 0.215688989381 87% => OK
Sentence topic coherence: 0.0743626362113 0.103423049105 72% => OK
Sentence topic coherence SD: 0.0746308981047 0.0843802449381 88% => OK
Paragraph topic coherence: 0.155501965467 0.15604864568 100% => OK
Paragraph topic coherence SD: 0.0714524992381 0.0819641961636 87% => OK

Essay readability:
automated_readability_index: 10.5 13.2329268293 79% => Automated_readability_index is low.
flesch_reading_ease: 70.13 61.2550243902 114% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 10.44 11.4140731707 91% => OK
dale_chall_readability_score: 7.75 8.06136585366 96% => OK
difficult_words: 50.0 40.7170731707 123% => OK
linsear_write_formula: 6.5 11.4329268293 57% => Linsear_write_formula is low.
gunning_fog: 9.2 10.9970731707 84% => OK
text_standard: 8.0 11.0658536585 72% => OK
What are above readability scores?

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Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.