A survey show the number of people travelling through London underground station boarding Victoria at different times of day.
The designated linear representation depicts the information about the variation in the number of London subway passing by the people during 6am to 10pm. As it is represented from the graph that the migration by people was just 100 at 6.am ,whereas with the passage of time the migration increase slightly,and reached at highest peak point on 400 at the time between 9.am to 10.am . Indeed,It become decreased at 200 on 11.00pm, followed a constant trend at same time value 3.00 on.
As following the trend , the migration by people at time between 3.pm to 5.pm decreased from 200. In fact, at a time between 5.am to 6am the migration increase suddenly, and reached at highest peak point . But the following values show downward trend from 7.pm to 10.pm .
Overall, it is evident that the highest statical data from the graph is, the maximum migration by the people in working hours such as: morning time and evening time.
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Grammar and spelling errors:
Line 1, column 155, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ssing by the people during 6am to 10pm. As it is represented from the graph that...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Line 1, column 270, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...sented from the graph that the migration by people was just 100 at 6.am ,whereas ...
^^
Line 1, column 302, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...igration by people was just 100 at 6.am ,whereas with the passage of time the mi...
^^
Line 1, column 311, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... by people was just 100 at 6.am ,whereas with the passage of time the migration i...
^^
Line 1, column 369, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , and
... of time the migration increase slightly,and reached at highest peak point on 400 at...
^^^^
Line 1, column 444, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...on 400 at the time between 9.am to 10.am . Indeed,It become decreased at 200 on 11...
^^
Line 1, column 453, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , It
... the time between 9.am to 10.am . Indeed,It become decreased at 200 on 11.00pm, fol...
^^^
Line 1, column 457, Rule ID: IT_VBZ[1]
Message: Did you mean 'becomes'?
Suggestion: becomes
... time between 9.am to 10.am . Indeed,It become decreased at 200 on 11.00pm, followed a...
^^^^^^
Line 1, column 512, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d at 200 on 11.00pm, followed a constant trend at same time value 3.00 on. As fo...
^^
Line 2, column 23, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...e value 3.00 on. As following the trend , the migration by people at time between...
^^
Line 2, column 150, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...a time between 5.am to 6am the migration increase suddenly, and reached at highes...
^^
Line 2, column 193, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ncrease suddenly, and reached at highest peak point . But the following values sh...
^^
Line 2, column 205, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...enly, and reached at highest peak point . But the following values show downward ...
^^
Line 2, column 271, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...s show downward trend from 7.pm to 10.pm . Overall, it is evident that the highe...
^^
Line 3, column 32, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...10.pm . Overall, it is evident that the highest statical data from the graph is...
^^
Line 3, column 41, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...Overall, it is evident that the highest statical data from the graph is, the max...
^^
Line 3, column 97, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...from the graph is, the maximum migration by the people in working hours such a...
^^
Line 3, column 105, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... graph is, the maximum migration by the people in working hours such as: morni...
^^
Line 3, column 113, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...s, the maximum migration by the people in working hours such as: morning time ...
^^
Line 3, column 131, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ration by the people in working hours such as: morning time and evening time. ...
^^
Line 5, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...h as: morning time and evening time.
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Transition Words or Phrases used:
but, whereas, in fact, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 8.0 3.97073170732 201% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 767.0 965.302439024 79% => OK
No of words: 158.0 196.424390244 80% => More content wanted.
Chars per words: 4.85443037975 4.92477711251 99% => OK
Fourth root words length: 3.54539209256 3.73543355544 95% => OK
Word Length SD: 2.57354111189 2.65546596893 97% => OK
Unique words: 90.0 106.607317073 84% => More unique words wanted.
Unique words percentage: 0.569620253165 0.547539520022 104% => OK
syllable_count: 216.9 283.868780488 76% => 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: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 3.0 0.482926829268 621% => 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: 22.0 22.4926829268 98% => OK
Sentence length SD: 51.8691446167 43.030603864 121% => OK
Chars per sentence: 109.571428571 112.824112599 97% => OK
Words per sentence: 22.5714285714 22.9334400587 98% => OK
Discourse Markers: 4.28571428571 5.23603664747 82% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 21.0 1.69756097561 1237% => 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: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.198765543868 0.215688989381 92% => OK
Sentence topic coherence: 0.100937065033 0.103423049105 98% => OK
Sentence topic coherence SD: 0.0269354207568 0.0843802449381 32% => Sentences are similar to each other.
Paragraph topic coherence: 0.139210949892 0.15604864568 89% => OK
Paragraph topic coherence SD: 0.0413123808697 0.0819641961636 50% => OK
Essay readability:
automated_readability_index: 12.7 13.2329268293 96% => 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: 11.15 11.4140731707 98% => OK
dale_chall_readability_score: 7.73 8.06136585366 96% => OK
difficult_words: 30.0 40.7170731707 74% => More difficult words wanted.
linsear_write_formula: 13.5 11.4329268293 118% => 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: 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.