The charts illustrate the number of people who were affected by four types of noise pollution in day and night in cities and rural areas in 2007.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The two bar charts compares the number of people in urban and rural areas were affected seriously by 4 kinds of noise pollution during daytime and nighttime in 2007.
Overall, the figure for people were affected by traffic which were highest. In addition, more people experieced all types of noise pollution in day time compared with in night time.
Looking at the details, in daytime traffic affected to the 64 millions people in city, this figure was at twice as high as that in rural areas. At night, 24 millions people in rural areas were affected by traffic nise, which was just a half of that number in urban. The number of residents in city were suffered from train noise in daytime and nighttime only 10 millions and 8 millions, respectively. However, with citizens live in rural areas, this figure only stood at 8 millions and 6 millions.
Turning to the other noise pollution , there were 4 millions people must be affected by aircraft during day time which was at least twice as high as that in rural areas. In rural and urban areas had a fairyly equal number of residents were affected by train in nighttime which accounted for 1 million people. On the other hand, those living in rural areas were not affected by industry noise but about 1 million and 0,25 million people had to affected by industry in day and nighttime
- The charts illustrate the number of people who were affected by four types of noise pollution in day and night in cities and rural areas in 2007.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 67
- The charts illustrate the number of people who were affected by four types of noise pollution in day and night in cities and rural areas in 2007.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 67
Grammar and spelling errors:
Line 7, column 37, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
.... Turning to the other noise pollution , there were 4 millions people must be af...
^^
Transition Words or Phrases used:
but, however, look, at least, in addition, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 7.0 171% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 7.0 3.15609756098 222% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 46.0 33.7804878049 136% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1104.0 965.302439024 114% => OK
No of words: 235.0 196.424390244 120% => OK
Chars per words: 4.69787234043 4.92477711251 95% => OK
Fourth root words length: 3.91531732006 3.73543355544 105% => OK
Word Length SD: 2.36355233331 2.65546596893 89% => OK
Unique words: 104.0 106.607317073 98% => OK
Unique words percentage: 0.442553191489 0.547539520022 81% => More unique words wanted or less content wanted.
syllable_count: 342.9 283.868780488 121% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 31.4052543375 43.030603864 73% => OK
Chars per sentence: 110.4 112.824112599 98% => OK
Words per sentence: 23.5 22.9334400587 102% => OK
Discourse Markers: 6.0 5.23603664747 115% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 7.0 1.13902439024 615% => Less 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: 0.296695317654 0.215688989381 138% => OK
Sentence topic coherence: 0.148614723853 0.103423049105 144% => OK
Sentence topic coherence SD: 0.0681117441294 0.0843802449381 81% => OK
Paragraph topic coherence: 0.223195550089 0.15604864568 143% => OK
Paragraph topic coherence SD: 0.0459351933473 0.0819641961636 56% => OK
Essay readability:
automated_readability_index: 12.5 13.2329268293 94% => Automated_readability_index is low.
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: 10.28 11.4140731707 90% => OK
dale_chall_readability_score: 7.13 8.06136585366 88% => OK
difficult_words: 35.0 40.7170731707 86% => OK
linsear_write_formula: 9.0 11.4329268293 79% => OK
gunning_fog: 11.2 10.9970731707 102% => 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.