The graph below shows average yearly rainfall in Moscow and Sanfrancisco, measured in millimeters
The barchart indicates the average yearly rainfall in Moscow and Sanfrancisco measured in millimeters.
Overall, the average yearly rainfall in Moscow is high in winter and in Sanfrancisco is high in winter.
The average yearly rainfall in Moscow and Sanfrancisco is difference in six months first. In January and February the average of rainfall in Moscow was smaller than Sanfrancisco( 60 and 58) meanwhile Sanfrancisco had a higher number of yearly rainfall than Moscow(118 in both of two months). In March, April, May and June, the average yearly rainfall of Moscow declined steadily(48 in March,38 in April) and then jumped sharply with ( over 60 in May, 87 in June). However the average yearly rainfall in Sanfrancisco fell rapidly with ( over 80, 39, 28 and 5).
Six months after, the average yearly rainfall in Moscow decreased and increased constant, the was downward(82 in July, 83 in August, 62 in September,78 in October, 56 in November and 48 in December). The average yearly rainfall in Sanfrancisco wwas much lower in Mosco, few months have no rain( July, August). In September, November, December the average yearly rainfall in Sanfrancisco had upwward trend with 5 in September,35 in October,80 in November and 118 in December.
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Grammar and spelling errors:
Line 3, column 426, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...38 in April and then jumped sharply with over 60 in May, 87 in June. However the ...
^^
Line 3, column 456, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: However,
...arply with over 60 in May, 87 in June. However the average yearly rainfall in Sanfranc...
^^^^^^^
Line 3, column 525, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...infall in Sanfrancisco fell rapidly with over 80, 39, 28 and 5. Six months after...
^^
Transition Words or Phrases used:
first, however, if, may, then, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 11.0 6.8 162% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 0.0 5.60731707317 0% => 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: 1031.0 965.302439024 107% => OK
No of words: 201.0 196.424390244 102% => OK
Chars per words: 5.12935323383 4.92477711251 104% => OK
Fourth root words length: 3.76529505866 3.73543355544 101% => OK
Word Length SD: 2.92867955427 2.65546596893 110% => OK
Unique words: 94.0 106.607317073 88% => More unique words wanted.
Unique words percentage: 0.467661691542 0.547539520022 85% => More unique words wanted or less content wanted.
syllable_count: 307.8 283.868780488 108% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 42.5939774332 43.030603864 99% => OK
Chars per sentence: 114.555555556 112.824112599 102% => OK
Words per sentence: 22.3333333333 22.9334400587 97% => OK
Discourse Markers: 4.0 5.23603664747 76% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => OK
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: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.447817962815 0.215688989381 208% => OK
Sentence topic coherence: 0.249736200837 0.103423049105 241% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.100938566327 0.0843802449381 120% => OK
Paragraph topic coherence: 0.337640488925 0.15604864568 216% => OK
Paragraph topic coherence SD: 0.0852650298288 0.0819641961636 104% => OK
Essay readability:
automated_readability_index: 13.9 13.2329268293 105% => OK
flesch_reading_ease: 57.61 61.2550243902 94% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 12.77 11.4140731707 112% => OK
dale_chall_readability_score: 7.79 8.06136585366 97% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 11.5 11.4329268293 101% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 11.0 11.0658536585 99% => 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.