The line graph below gives the information about the number of visitor to three London museums between Jun and September 2013. Summarize the information by reporting and selecting main features and make comparison where possible.
The line chart below provides the information about data of people preference toward three different kind of museums which includes British history museum, Natural history museum and Science museum in hundreds from June to September in 2013.
If we summarize whole graph Londoners showed predilection for British museum in all months, while lesser number of individual visited Natural history museum and science museum in 2013.
The first orange line shows the number of visitors to British museum, in Jun 600 people went there which surge to 750 persons in July which was highest number among all other types and its own. In following month a huge decline in people number observed to its least numbers of 500. In September again upward trend of people visited British museum were 675 people.
For natural history museum highest number was 550 in Jun which fall to 375 persons in July and remained same in nest month of August. And in September once again people started visiting museum and number reached 475 individuals. The red line express the Science museum tours by locals which was lowest among others in Jun 400 and gradually decrease till August to 300. But in September this number peaked to 475 people that was same in number with Natural History museum.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2021-05-11 | Farwa Nasir | 73 | view |
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Grammar and spelling errors:
Line 1, column 10, Rule ID: MASS_AGREEMENT[2]
Message: Possible agreement error - use third-person verb forms for singular and mass nouns: 'charts'.
Suggestion: charts
The line chart below provides the information about da...
^^^^^
Line 1, column 102, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'kind' seems to be countable, so consider using: 'kinds'.
Suggestion: kinds
...eople preference toward three different kind of museums which includes British histo...
^^^^
Line 3, column 141, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'was the highest'.
Suggestion: was the highest
...hich surge to 750 persons in July which was highest number among all other types and its ow...
^^^^^^^^^^^
Line 4, column 21, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'museum the highest'.
Suggestion: museum the highest
...m were 675 people. For natural history museum highest number was 550 in Jun which fall to 375...
^^^^^^^^^^^^^^
Line 4, column 428, Rule ID: ADJECTIVE_IN_ATTRIBUTE[1]
Message: A more concise phrase may lose no meaning and sound more powerful.
Suggestion: same
...is number peaked to 475 people that was same in number with Natural History museum.
^^^^^^^^^^^^^^
Transition Words or Phrases used:
but, first, if, so, while, kind of
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 39.0 33.7804878049 115% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 1058.0 965.302439024 110% => OK
No of words: 212.0 196.424390244 108% => OK
Chars per words: 4.99056603774 4.92477711251 101% => OK
Fourth root words length: 3.81578560438 3.73543355544 102% => OK
Word Length SD: 2.22517554237 2.65546596893 84% => OK
Unique words: 114.0 106.607317073 107% => OK
Unique words percentage: 0.537735849057 0.547539520022 98% => OK
syllable_count: 316.8 283.868780488 112% => 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: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 52.4279635121 43.030603864 122% => OK
Chars per sentence: 117.555555556 112.824112599 104% => OK
Words per sentence: 23.5555555556 22.9334400587 103% => OK
Discourse Markers: 3.77777777778 5.23603664747 72% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.247178741159 0.215688989381 115% => OK
Sentence topic coherence: 0.111646744344 0.103423049105 108% => OK
Sentence topic coherence SD: 0.0550673472977 0.0843802449381 65% => OK
Paragraph topic coherence: 0.169622011225 0.15604864568 109% => OK
Paragraph topic coherence SD: 0.0401035268074 0.0819641961636 49% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 13.9 13.2329268293 105% => OK
flesch_reading_ease: 56.59 61.2550243902 92% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 11.96 11.4140731707 105% => OK
dale_chall_readability_score: 7.91 8.06136585366 98% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 18.0 11.4329268293 157% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 12.0 11.0658536585 108% => 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.