The line graph below shows the percentage of tourists to England who visited four different attractions in Brighton.
Summarize the information by selecting and reporting the main features and make comparisons where relevant.
The bar chart gives information about how many tourists used three different airports in New York City from 1995 to 2000.
It is clear that the amount of passengers using John F.Kennedy fluctuated during the period shown,while others had an upward trend. In addition, the figure for LaGuardia experienced the highest uses throughout this period.
In 1995, LaGuardia saw the largest number, which was about 35 millions, compared to about 27millions of John F.Kennedy and only 17 millions of Newwark. The number of travellers using John F.Kennedy witnessed an upward trend and reached its peak at 48 millions in 1997. However, in 1999, the figure dipped by approximately 15 millions. In 2000, there was a moderate growth to about 42 millions.
It can be seen that the figures for LaGuardia and Newwark both had an upward trend. However, LaGuardia substantially rose over the five-year period and remarkably stood at 68 millions in 2000. In contrast, Newark's number increased significantly to 42 millions in 1998 and remained stable in the last two years.
- Many elderly people are no longer looked after by their families but are put in care or nursing homes What are the advantages and disadvantages of this trend 67
- The chart below shows the number of travellers using three major airports in New York City between 1995 and 2000 60
- The graph below shows the percentage of population in cities since 1970s with projection to 2030 61
- The diagram below shows how coffee is produced and prepared for sale in the supermarkets and shops 78
- The line graph below shows the percentage of tourists to England who visited four different attractions in Brighton Summarize the information by selecting and reporting the main features and make comparisons where relevant 78
Grammar and spelling errors:
Line 1, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
The bar chart gives information about ho...
^^^^^^
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ts in New York City from 1995 to 2000. It is clear that the amount of passenger...
^^^^^^
Line 2, column 61, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Kennedy
...t the amount of passengers using John F.Kennedy fluctuated during the period shown,whil...
^^^^^^^
Line 2, column 103, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , while
...nnedy fluctuated during the period shown,while others had an upward trend. In addition...
^^^^^^
Line 3, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...e highest uses throughout this period. In 1995, LaGuardia saw the largest numbe...
^^^^^^
Line 3, column 117, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Kennedy
... compared to about 27millions of John F.Kennedy and only 17 millions of Newwark. The nu...
^^^^^^^
Line 3, column 134, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '17 million'.
Suggestion: 17 million
...t 27millions of John F.Kennedy and only 17 millions of Newwark. The number of travellers using...
^^^^^^^^^^^^^^
Line 3, column 196, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Kennedy
.... The number of travellers using John F.Kennedy witnessed an upward trend and reached i...
^^^^^^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... moderate growth to about 42 millions. It can be seen that the figures for LaGu...
^^^^^^
Transition Words or Phrases used:
however, if, while, in addition, in contrast
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: 1.0 1.00243902439 100% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 29.0 33.7804878049 86% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 884.0 965.302439024 92% => OK
No of words: 172.0 196.424390244 88% => More content wanted.
Chars per words: 5.13953488372 4.92477711251 104% => OK
Fourth root words length: 3.62144681703 3.73543355544 97% => OK
Word Length SD: 2.78086932103 2.65546596893 105% => OK
Unique words: 111.0 106.607317073 104% => OK
Unique words percentage: 0.645348837209 0.547539520022 118% => OK
syllable_count: 245.7 283.868780488 87% => 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: 4.0 4.33902439024 92% => 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: 10.0 8.94146341463 112% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 27.9821371593 43.030603864 65% => OK
Chars per sentence: 88.4 112.824112599 78% => OK
Words per sentence: 17.2 22.9334400587 75% => OK
Discourse Markers: 4.4 5.23603664747 84% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 9.0 1.69756097561 530% => 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: 0.0205216797124 0.215688989381 10% => OK
Sentence topic coherence: 0.00805535024354 0.103423049105 8% => OK
Sentence topic coherence SD: 0.0241660507306 0.0843802449381 29% => Sentences are similar to each other.
Paragraph topic coherence: 0.0201383756088 0.15604864568 13% => OK
Paragraph topic coherence SD: 0.0348806897364 0.0819641961636 43% => 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: 11.4 13.2329268293 86% => Automated_readability_index is low.
flesch_reading_ease: 71.14 61.2550243902 116% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.6 10.3012195122 74% => OK
coleman_liau_index: 12.24 11.4140731707 107% => OK
dale_chall_readability_score: 8.52 8.06136585366 106% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 8.8 10.9970731707 80% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 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.