The tables below give information about sales of Fairtrade*-labelled coffee and bananas in 1999 and 2004 in five European countries.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The tables provides an overview of the expenditure of five European countries on fair-trade-labelled coffee and bananas in 1999 and 2004.Overall,it is clear from the illustrations that bananas’ sale was the dominant in Switzerland ,whereas the sales of coffee was a major in UK.
According to the data given by the tables, the largest coffee sale,3 million Euros ,was in Switzerland but after five years the highest sale could be observed in the UK(20 millions of Euros),that recorded more than three times higher than that of Switzerland.Also coffee sales in Denmark increased slightly from 1.8 millions of Euros to 2 millions of Euros during this period of time.The same scenario with Belgium and Sweden.
Meanwhile,Switzerland was the main market for fair-trade-bananas in both 1999 and 2004(15 millions of Euros and 47 millions of Euros,respectively),which increased dramatically in contrast with the remained countries.The trend of increasing also observed in the UK and Belguim. Interestingly , the sales volume of the fair-trade-bananas decreased in Sweden and Denmark in 2004 in than that of 1999.
Grammar and spelling errors:
Line 1, column 12, Rule ID: AGREEMENT_SENT_START[1]
Message: You should probably use 'provide'.
Suggestion: provide
The tables provides an overview of the expenditure of five ...
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Line 1, column 138, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Overall
...led coffee and bananas in 1999 and 2004.Overall,it is clear from the illustrations that...
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Line 1, column 145, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , it
...fee and bananas in 1999 and 2004.Overall,it is clear from the illustrations that ba...
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Line 1, column 236, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...os; sale was the dominant in Switzerland ,whereas the sales of coffee was a major ...
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Line 2, column 83, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... the largest coffee sale,3 million Euros ,was in Switzerland but after five years ...
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Line 2, column 189, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , that
...e observed in the UK20 millions of Euros,that recorded more than three times higher t...
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Line 2, column 257, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Also
...e times higher than that of Switzerland.Also coffee sales in Denmark increased sligh...
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Line 2, column 257, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Also,
...e times higher than that of Switzerland.Also coffee sales in Denmark increased sligh...
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Line 2, column 312, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '8 million'.
Suggestion: 8 million
...es in Denmark increased slightly from 1.8 millions of Euros to 2 millions of Euros during thi...
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Line 2, column 335, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '2 million'.
Suggestion: 2 million
... slightly from 1.8 millions of Euros to 2 millions of Euros during this period of time.The sa...
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Line 2, column 367, Rule ID: PERIOD_OF_TIME[1]
Message: Use simply 'period'.
Suggestion: period
...uros to 2 millions of Euros during this period of time.The same scenario with Belgium and Swed...
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Line 2, column 382, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...ons of Euros during this period of time.The same scenario with Belgium and Sweden. ...
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Line 3, column 10, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , Switzerland
...ario with Belgium and Sweden. Meanwhile,Switzerland was the main market for fair-trade-bana...
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Line 3, column 83, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '200415 million'.
Suggestion: 200415 million
...for fair-trade-bananas in both 1999 and 200415 millions of Euros and 47 millions of Euros,respecti...
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Line 3, column 112, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '47 million'.
Suggestion: 47 million
...h 1999 and 200415 millions of Euros and 47 millions of Euros,respectively,which increased dram...
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Line 3, column 132, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , respectively
...llions of Euros and 47 millions of Euros,respectively,which increased dramatically in contras...
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Line 3, column 214, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...in contrast with the remained countries.The trend of increasing also observed in th...
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Line 3, column 288, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ved in the UK and Belguim. Interestingly , the sales volume of the fair-trade-ban...
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Line 3, column 289, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ed in the UK and Belguim. Interestingly , the sales volume of the fair-trade-bana...
^^
Transition Words or Phrases used:
also, but, so, whereas, while, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalization wanted.
Performance on vocabulary words:
No of characters: 939.0 965.302439024 97% => OK
No of words: 171.0 196.424390244 87% => More content wanted.
Chars per words: 5.49122807018 4.92477711251 112% => OK
Fourth root words length: 3.61617157096 3.73543355544 97% => OK
Word Length SD: 3.88797897061 2.65546596893 146% => OK
Unique words: 100.0 106.607317073 94% => More unique words wanted.
Unique words percentage: 0.584795321637 0.547539520022 107% => OK
syllable_count: 275.4 283.868780488 97% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Interrogative: 0.0 0.114634146341 0% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 4.0 8.94146341463 45% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 42.0 22.4926829268 187% => The Avg. Sentence Length is relatively long.
Sentence length SD: 107.215903671 43.030603864 249% => The lengths of sentences changed so frequently.
Chars per sentence: 234.75 112.824112599 208% => Less chars_per_sentence wanted.
Words per sentence: 42.75 22.9334400587 186% => OK
Discourse Markers: 10.5 5.23603664747 201% => Less transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 19.0 1.69756097561 1119% => Less language errors wanted.
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
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: 0.176595865823 0.215688989381 82% => OK
Sentence topic coherence: 0.123761765211 0.103423049105 120% => OK
Sentence topic coherence SD: 0.0655180189301 0.0843802449381 78% => OK
Paragraph topic coherence: 0.138179112076 0.15604864568 89% => OK
Paragraph topic coherence SD: 0.0673892358813 0.0819641961636 82% => OK
Essay readability:
automated_readability_index: 25.8 13.2329268293 195% => OK
flesch_reading_ease: 28.85 61.2550243902 47% => Flesch_reading_ease is low.
smog_index: 13.0 6.51609756098 200% => OK
flesch_kincaid_grade: 19.7 10.3012195122 191% => OK
coleman_liau_index: 15.45 11.4140731707 135% => OK
dale_chall_readability_score: 10.34 8.06136585366 128% => OK
difficult_words: 50.0 40.7170731707 123% => OK
linsear_write_formula: 28.5 11.4329268293 249% => Linsear_write_formula is high.
gunning_fog: 18.8 10.9970731707 171% => OK
text_standard: 13.0 11.0658536585 117% => 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.