The first table illustrates the amount of money which was earned by the five different nations (UK, Switzerland, Denmark, belguim, Sweden) from the sales of fairtrade labelled coffee and bananas in the period of 1999 and 2004. The data is calibrated in euros.
Overall, it can be clearly seen that, the sales of bananas were the vast source of income in Switzerland, whereas Sweden had least amount of money which was earned from the sale of coffee.
It is crystal clear that, in 1999, Switzerland earned 15 millions of euros from the sales of Bananas, but only one third of this income was earned by coffee sales. However, the income of UK was 1 million of euros which was half of Denmark (2 millions of Euros) earned from the sales of Bananas followed by Coffee Which caused of 1.5 million Euros and 1.8 million euros of the income of both countries respectively. Further, other nations were earning under 2 million of euros from selling given source of income.
Moving further, in 2004, the amount of money earned by bananas and coffee sales increased dramatically in UK and Switzerland where the income rose 3 folds as compared to 1999, but the demand of Bananas in Denmark decreased so the income remained half as compare to past period, however, the income from the sales of coffee went to upward Trend sharply.
Grammar and spelling errors:
Line 3, column 93, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ananas were the vast source of income in Switzerland, whereas Sweden had least a...
^^
Line 3, column 122, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...f income in Switzerland, whereas Sweden had least amount of money which was earn...
^^
Line 3, column 124, Rule ID: THE_SUPERLATIVE[3]
Message: A determiner is probably missing here: 'had the least'.
Suggestion: had the least
...income in Switzerland, whereas Sweden had least amount of money which was earned from t...
^^^^^^^^^
Line 5, column 55, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '15 million'.
Suggestion: 15 million
...clear that, in 1999, Switzerland earned 15 millions of euros from the sales of Bananas, but on...
^^^^^^^^^^^^^^
Line 5, column 240, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '2 million'.
Suggestion: 2 million
...lion of euros which was half of Denmark 2 millions of Euros earned from the sales of Bananas ...
^^^^^^^^^^^^^
Transition Words or Phrases used:
but, first, however, if, so, third, whereas
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 7.0 3.15609756098 222% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 45.0 33.7804878049 133% => 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: 1094.0 965.302439024 113% => OK
No of words: 229.0 196.424390244 117% => OK
Chars per words: 4.77729257642 4.92477711251 97% => OK
Fourth root words length: 3.89008302616 3.73543355544 104% => OK
Word Length SD: 2.40783666178 2.65546596893 91% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.467248908297 0.547539520022 85% => More unique words wanted or less content wanted.
syllable_count: 330.3 283.868780488 116% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => 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: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 7.0 8.94146341463 78% => 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: 32.0 22.4926829268 142% => The Avg. Sentence Length is relatively long.
Sentence length SD: 96.379987761 43.030603864 224% => The lengths of sentences changed so frequently.
Chars per sentence: 156.285714286 112.824112599 139% => OK
Words per sentence: 32.7142857143 22.9334400587 143% => OK
Discourse Markers: 6.14285714286 5.23603664747 117% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => 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: 0.193678178379 0.215688989381 90% => OK
Sentence topic coherence: 0.0992990078174 0.103423049105 96% => OK
Sentence topic coherence SD: 0.0952672669585 0.0843802449381 113% => OK
Paragraph topic coherence: 0.148864670089 0.15604864568 95% => OK
Paragraph topic coherence SD: 0.0810287951593 0.0819641961636 99% => OK
Essay readability:
automated_readability_index: 17.4 13.2329268293 131% => OK
flesch_reading_ease: 55.92 61.2550243902 91% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 13.4 10.3012195122 130% => OK
coleman_liau_index: 11.04 11.4140731707 97% => OK
dale_chall_readability_score: 8.46 8.06136585366 105% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 14.8 10.9970731707 135% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
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Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 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.