The graph shows the number of visitors to four international museums between 1980 and 2015.
The line graph outlines how many visitors to Louvre, London Science Museum, Vatican Museums and Shenzhen Museum from 1980 to 2015.
Overall, what stands out from the graph is that The largest number of visitors among other museums was Louvre and Vatican Museums that highlighted the significant increasing over period. However the London Science Museum and Shenzhen Museum were the smallest number of visitors.
In 1980, looking at the details, comparing the number of visitors in Louvre and Vatican Museums were just under 8 millions and around 5 millions respectively. However Vatican Museums' visitors were gradually growing over 35 years. By the end of the period ,in 2015, Both of museums illustrated approximately the same number of visitors, just over 9 millions.
At the beginning of the period,while the number of visitors in London Science Museum was just over 4 millions than in Shenzhen Museum, in 2015, London Science Museum's visitors dwindled(2 millions). However, comparing the beginning and the end of periods, Shenzhen Museum's visitors was not changed( just under 4 million visitors).
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-08-19 | M10 | 73 | view |
| 2023-08-15 | Phạm Minh Hân | 87 | view |
| 2023-08-15 | Phạm Minh Hân | 84 | view |
| 2022-12-21 | kevann | 56 | view |
| 2022-11-01 | quaan_ne | 78 | view |
- The chart below shows the percentage of the population in the UK who consumed the recommended daily amount of fruit and vegetables in 2002 2006 and 2010 73
- The graph below shows the average number of UK commuters travelling each day by car bus or train between 1970 and 2030 56
- The graph shows the number of visitors to four international museums between 1980 and 2015 67
Grammar and spelling errors:
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...and Shenzhen Museum from 1980 to 2015. Overall, what stands out from the graph ...
^^^^^
Line 2, column 108, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...mber of visitors among other museums was Louvre and Vatican Museums that highlig...
^^
Line 2, column 136, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... museums was Louvre and Vatican Museums that highlighted the significant increas...
^^
Line 2, column 194, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: However,
...the significant increasing over period. However the London Science Museum and Shenzhen ...
^^^^^^^
Line 3, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...were the smallest number of visitors. In 1980, looking at the details, compari...
^^^^^^
Line 3, column 166, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: However,
...ons and around 5 millions respectively. However Vatican Museums visitors were gradually...
^^^^^^^
Line 3, column 261, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... over 35 years. By the end of the period ,in 2015, Both of museums illustrated app...
^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ber of visitors, just over 9 millions. At the beginning of the period,while the...
^^^^^
Line 4, column 36, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , while
...ns. At the beginning of the period,while the number of visitors in London Scienc...
^^^^^^
Line 4, column 209, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ms visitors dwindled2 millions. However, comparing the beginning and the end of p...
^^
Transition Words or Phrases used:
however, if, look, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 2.0 5.60731707317 36% => OK
Preposition: 31.0 33.7804878049 92% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 927.0 965.302439024 96% => OK
No of words: 173.0 196.424390244 88% => More content wanted.
Chars per words: 5.35838150289 4.92477711251 109% => OK
Fourth root words length: 3.62669911048 3.73543355544 97% => OK
Word Length SD: 2.62257080815 2.65546596893 99% => OK
Unique words: 81.0 106.607317073 76% => More unique words wanted.
Unique words percentage: 0.468208092486 0.547539520022 86% => More unique words wanted or less content wanted.
syllable_count: 267.3 283.868780488 94% => 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: 1.0 4.33902439024 23% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 40.6246153828 43.030603864 94% => OK
Chars per sentence: 115.875 112.824112599 103% => OK
Words per sentence: 21.625 22.9334400587 94% => OK
Discourse Markers: 3.0 5.23603664747 57% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 10.0 1.69756097561 589% => Less language errors wanted.
Sentences with positive sentiment : 6.0 3.70975609756 162% => 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: 0.329944495228 0.215688989381 153% => OK
Sentence topic coherence: 0.180922976512 0.103423049105 175% => OK
Sentence topic coherence SD: 0.067188697338 0.0843802449381 80% => OK
Paragraph topic coherence: 0.252112388277 0.15604864568 162% => OK
Paragraph topic coherence SD: 0.0389185804898 0.0819641961636 47% => 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: 14.6 13.2329268293 110% => OK
flesch_reading_ease: 58.62 61.2550243902 96% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 13.81 11.4140731707 121% => OK
dale_chall_readability_score: 7.87 8.06136585366 98% => OK
difficult_words: 35.0 40.7170731707 86% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 Out of 9
---------------------
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.