The two presented tables highlight data regarding two products of Fairtrade-labelled’s sales namely tea and pineapples during 2010 and 2015 in Austria, France, Netherlands, Norway, and Germany.
Overall, it is readily apparent that Austria earned the most cash in selling pineapples in both years and also received the highest income of selling tea in 2010. Meanwhile, the first place of tea’s highest revenue during 2015 belonged to France.
In 2010, Austria had the most tea’s income with 4 millions of euros, which was twice as Netherlands’s tea revenue. By contrast, Norway received the least tea’s income with 1.8 millions of euros. 5 years later, the first position of tea’s highest income belonged to France (21 millions of euros), whereas Austria took second place with 8 millions of euros. Likewise, Norway was still the country with the least revenue concerning tea (2 millions of euros).
About pineapples, Austria had the most massive revenue in 2010 and 2015 with 16 and 48 millions of euros respectively. The Netherlands had the lowest income regarding this category during 2010 (6 millions of euros) and had third place in 2015 with 5 millions of euros. Otherwise, Germany took second place in the year 2010 (3 millions of euros) but then pulled down to the bottom of the revenue table in 2015 when they just had 1.9 millions of euros.
- The tables below give information about sales of Fairtrade labelled tea and pineapples in 2010 and 2015 in five European countries Summarise the information by selecting and reporting the main features and make comparisons where relevant 79
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Grammar and spelling errors:
Line 5, column 49, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '4 million'.
Suggestion: 4 million
... Austria had the most tea’s income with 4 millions of euros, which was twice as Netherlands’s...
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Line 5, column 175, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '8 million'.
Suggestion: 8 million
... received the least tea’s income with 1.8 millions of euros. 5 years later, the first positio...
^^^^^^^^^^^^^
Line 5, column 273, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '21 million'.
Suggestion: 21 million
...tea’s highest income belonged to France 21 millions of euros, whereas Austria took second plac...
^^^^^^^^^^^^^^
Line 5, column 334, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '8 million'.
Suggestion: 8 million
... whereas Austria took second place with 8 millions of euros. Likewise, Norway was still the c...
^^^^^^^^^^^^^
Line 5, column 432, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '2 million'.
Suggestion: 2 million
...y with the least revenue concerning tea 2 millions of euros. About pineapples, Austria had...
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Line 7, column 85, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '48 million'.
Suggestion: 48 million
...ve revenue in 2010 and 2015 with 16 and 48 millions of euros respectively. The Netherlands had...
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Line 7, column 194, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '6 million'.
Suggestion: 6 million
...ome regarding this category during 2010 6 millions of euros and had third place in 2015 with ...
^^^^^^^^^^^^^
Line 7, column 247, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '5 million'.
Suggestion: 5 million
... euros and had third place in 2015 with 5 millions of euros. Otherwise, Germany took second p...
^^^^^^^^^^^^^
Line 7, column 322, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '3 million'.
Suggestion: 3 million
...many took second place in the year 2010 3 millions of euros but then pulled down to the botto...
^^^^^^^^^^^^^
Line 7, column 427, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '9 million'.
Suggestion: 9 million
...enue table in 2015 when they just had 1.9 millions of euros.
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Transition Words or Phrases used:
also, but, first, likewise, regarding, second, so, still, then, third, whereas, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 42.0 33.7804878049 124% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1142.0 965.302439024 118% => OK
No of words: 224.0 196.424390244 114% => OK
Chars per words: 5.09821428571 4.92477711251 104% => OK
Fourth root words length: 3.86867284054 3.73543355544 104% => OK
Word Length SD: 2.7724040993 2.65546596893 104% => OK
Unique words: 109.0 106.607317073 102% => OK
Unique words percentage: 0.486607142857 0.547539520022 89% => More unique words wanted or less content wanted.
syllable_count: 312.3 283.868780488 110% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 38.0336692945 43.030603864 88% => OK
Chars per sentence: 114.2 112.824112599 101% => OK
Words per sentence: 22.4 22.9334400587 98% => OK
Discourse Markers: 8.5 5.23603664747 162% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 10.0 1.69756097561 589% => Less language errors wanted.
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 7.0 4.09268292683 171% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.133780020528 0.215688989381 62% => OK
Sentence topic coherence: 0.0704742579023 0.103423049105 68% => OK
Sentence topic coherence SD: 0.0434536697576 0.0843802449381 51% => OK
Paragraph topic coherence: 0.105377737632 0.15604864568 68% => OK
Paragraph topic coherence SD: 0.0490804664398 0.0819641961636 60% => OK
Essay readability:
automated_readability_index: 13.8 13.2329268293 104% => OK
flesch_reading_ease: 66.07 61.2550243902 108% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 12.6 11.4140731707 110% => OK
dale_chall_readability_score: 8.11 8.06136585366 101% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 9.0 11.4329268293 79% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.