Given are two figure illustrating climate pattern in three various city. The first provides data on the monthly temperatures, wile the second indicates total annual hours of sunshine for London, New York and Sydney.
Moving across the provided graph inferred striking similarities between London and New York temperatures. It is evident that both nations experienced an upward trend during May to October before brought a sustained decline to the end. Although New York at first had much colder climate than London its rose from a mere 5 degree to somewhere in the vicinity 30 degree in July exceeding Londons’ temperature in aforementioned month.
In stark contrast, however, Sydney reveals revers trend. Sydney enjoyed warm weather during coldest month of aforesaid nations. It stood at 25 degree, while, slipped to 15 degree in July (which was the warmest time of other cities) before bounced back again to 25 degree.
A glance at supplied table depicts that both New York and Sydney enjoyed approximately the same average sunshine hours, the former had by far the most average sunshine hours, whilst, London had the fewest sunshine hours among them.
Apparently, London has the coldest climate among the three mentioned nations, while on the other hand, New York has the hottest summers, yet Sydney enjoys warmest overall climate.
Grammar and spelling errors:
Line 1, column 7, Rule ID: MASS_AGREEMENT[1]
Message: Consider using third-person verb forms for singular and mass nouns: 'is'.
Suggestion: is
Given are two figure illustrating climate pattern...
^^^
Line 1, column 43, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'pattern' seems to be countable, so consider using: 'patterns'.
Suggestion: patterns
...ven are two figure illustrating climate pattern in three various city. The first provid...
^^^^^^^
Line 1, column 68, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'city' seems to be countable, so consider using: 'cities'.
Suggestion: cities
...rating climate pattern in three various city. The first provides data on the monthly...
^^^^
Line 1, column 152, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... temperatures, wile the second indicates total annual hours of sunshine for Londo...
^^
Line 3, column 85, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'during the coldest'.
Suggestion: during the coldest
...vers trend. Sydney enjoyed warm weather during coldest month of aforesaid nations. It stood at...
^^^^^^^^^^^^^^
Line 5, column 149, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'enjoys the warmest'.
Suggestion: enjoys the warmest
...ork has the hottest summers, yet Sydney enjoys warmest overall climate.
^^^^^^^^^^^^^^
Transition Words or Phrases used:
apparently, first, however, may, second, so, while, on the other hand
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: 1.0 1.00243902439 100% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 29.0 33.7804878049 86% => 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: 1130.0 965.302439024 117% => OK
No of words: 214.0 196.424390244 109% => OK
Chars per words: 5.28037383178 4.92477711251 107% => OK
Fourth root words length: 3.82475343497 3.73543355544 102% => OK
Word Length SD: 2.58709753022 2.65546596893 97% => OK
Unique words: 141.0 106.607317073 132% => OK
Unique words percentage: 0.658878504673 0.547539520022 120% => OK
syllable_count: 343.8 283.868780488 121% => 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
Article: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 55.4963962794 43.030603864 129% => OK
Chars per sentence: 113.0 112.824112599 100% => OK
Words per sentence: 21.4 22.9334400587 93% => OK
Discourse Markers: 6.9 5.23603664747 132% => OK
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
Language errors: 6.0 1.69756097561 353% => Less language errors wanted.
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.142302447852 0.215688989381 66% => OK
Sentence topic coherence: 0.04881494992 0.103423049105 47% => OK
Sentence topic coherence SD: 0.0581936937782 0.0843802449381 69% => OK
Paragraph topic coherence: 0.0796254398781 0.15604864568 51% => OK
Paragraph topic coherence SD: 0.0684581185379 0.0819641961636 84% => OK
Essay readability:
automated_readability_index: 14.1 13.2329268293 107% => OK
flesch_reading_ease: 50.16 61.2550243902 82% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 13.34 11.4140731707 117% => OK
dale_chall_readability_score: 9.25 8.06136585366 115% => OK
difficult_words: 62.0 40.7170731707 152% => OK
linsear_write_formula: 12.0 11.4329268293 105% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Maximum four paragraphs wanted.
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.