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.
The bar charts show how many people who lived in urban and rural areas affecting by different polluting noisy between day and night in 2007.
Overall, it is clear that in cities and rural areas, the people was annoyed by traffic pollution had a large majority, compared with other sectors. Also , the number of people was affected because of various types of pollution sectors during the daytime in both places was sightly higher than that of people at night.
The number of people in city residents in day was affected by pollution of traffic accounted for 64 million people, compared with that of people at night just lower than 16 million. Some people felt annoy because the pollution of train, around 10 million in day and 8 million at night. A little people affecting by the remaining sectors.
To turning in the rural areas, people felt noisy by polluting train at day took for 34 million. This figure was higher than that of people at night 10 million people. The other remaining sectors had a little amount.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2019-11-02 | Trần Vân | 67 | view |
| 2019-11-02 | Trần Vân | 67 | view |
| 2019-10-22 | Phạm Phú Trường | 73 | view |
| 2019-02-14 | fon2704 | 73 | view |
| 2019-01-17 | huathibichngoc.c3.ltt@gmail.com | 67 | view |
- The diagrams show the cross sections of two tunnels one joining France and Italy and the other joining two Japanese island 73
- The line graph below shows difference sources of air pollutants in the UK from 1990 to 2000 56
- The table below shows the percentage of population by age groups in one town who rode bicycles in 2011. 56
- The table shows the amount of money give in aid technology of developing countries by charities in the US, EU and other countries from 2006 to 2010 61
- The graph shows changes in global food and oil prices between 2000 and 2011 67
Grammar and spelling errors:
Line 2, column 152, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ority, compared with other sectors. Also , the number of people was affected becau...
^^
Transition Words or Phrases used:
also, if, so
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 841.0 965.302439024 87% => OK
No of words: 177.0 196.424390244 90% => More content wanted.
Chars per words: 4.75141242938 4.92477711251 96% => OK
Fourth root words length: 3.64748333727 3.73543355544 98% => OK
Word Length SD: 2.2759189007 2.65546596893 86% => OK
Unique words: 89.0 106.607317073 83% => More unique words wanted.
Unique words percentage: 0.502824858757 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 249.3 283.868780488 88% => 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: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 19.0 22.4926829268 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 47.1029867209 43.030603864 109% => OK
Chars per sentence: 93.4444444444 112.824112599 83% => OK
Words per sentence: 19.6666666667 22.9334400587 86% => OK
Discourse Markers: 1.33333333333 5.23603664747 25% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 0.0 3.70975609756 0% => More positive sentences wanted.
Sentences with negative sentiment : 5.0 1.13902439024 439% => Less negative sentences wanted.
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.36075636255 0.215688989381 167% => OK
Sentence topic coherence: 0.161962657151 0.103423049105 157% => OK
Sentence topic coherence SD: 0.102033961387 0.0843802449381 121% => OK
Paragraph topic coherence: 0.252903837551 0.15604864568 162% => OK
Paragraph topic coherence SD: 0.0891742347595 0.0819641961636 109% => OK
Essay readability:
automated_readability_index: 10.8 13.2329268293 82% => Automated_readability_index is low.
flesch_reading_ease: 69.11 61.2550243902 113% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.3 10.3012195122 81% => OK
coleman_liau_index: 10.27 11.4140731707 90% => OK
dale_chall_readability_score: 7.52 8.06136585366 93% => OK
difficult_words: 33.0 40.7170731707 81% => More difficult words wanted.
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 8.0 11.0658536585 72% => OK
What are above readability scores?
---------------------
Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.