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
Two bar charts compare how many people were affected by four sources of noise pollution in urban and rural areas during the daytime and nightime in the year 2007.
Overall, it is clear that more people in cities experienced from all sources of noise pollution compared with in countrysides in all time. Also, in both charts, traffic is the main type that caused noise pollution in both 2 places.
Daytime noise caused from traffic affected 64 million people in cities and 34 million people in countrysides. At night, these people in urban affected 48 million people, double with in rural. Noise pollution caused from train affected slightly more peole in both urban and rural areas, with in day 10 million people and 8 million people respectively. At night, 8 million people and 6 million people experienced in noise pollution from train.
In remaining two sources of noise pollution, there were less significant. During the daytime, the number of people in cities were affected by aircraft was 4 million, half this number in rural areas. At night, there was 1 million people in both 2 places. Moreover, people living in rural areas were not affected by industry. While, in urban areas, there was 1 million people in daytime, four times the number of people affected in rural areas in nightime.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-12-11 | ililmaidatuz | 84 | view |
| 2022-01-22 | Pdtrinh | 68 | view |
| 2022-01-22 | Huy Vu | 67 | view |
| 2020-11-30 | nuvuong98 | 67 | view |
| 2020-10-02 | Vicky Phan | 84 | view |
- The graph below shows different sources of air pollutants in the UK from 1990 to 2005. Summarise the information by selecting and reporting the main features, and make comparions where relevant. 56
- 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 92
- The diagram below shows how the Australian Bureau of Meteorology collects up-to-the-minute information on the weather in order to produce reliable forecasts. 61
- The graph shows the information about international conferences in three capital in 1980-2010. 67
- The bar chart below shows the percentage of people living alone in 5 different age groups in the USA between 1850 and 2000 87
Transition Words or Phrases used:
also, if, moreover, so, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => 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: 5.0 5.60731707317 89% => OK
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 1083.0 965.302439024 112% => OK
No of words: 219.0 196.424390244 111% => OK
Chars per words: 4.94520547945 4.92477711251 100% => OK
Fourth root words length: 3.84690116678 3.73543355544 103% => OK
Word Length SD: 2.47156426752 2.65546596893 93% => OK
Unique words: 92.0 106.607317073 86% => More unique words wanted.
Unique words percentage: 0.420091324201 0.547539520022 77% => More unique words wanted or less content wanted.
syllable_count: 325.8 283.868780488 115% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 1.0 4.33902439024 23% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 8.0 3.36585365854 238% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 34.1646340859 43.030603864 79% => OK
Chars per sentence: 90.25 112.824112599 80% => OK
Words per sentence: 18.25 22.9334400587 80% => OK
Discourse Markers: 2.41666666667 5.23603664747 46% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 4.0 1.13902439024 351% => 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: 0.44853255139 0.215688989381 208% => OK
Sentence topic coherence: 0.196645569166 0.103423049105 190% => OK
Sentence topic coherence SD: 0.0801894267377 0.0843802449381 95% => OK
Paragraph topic coherence: 0.289914741934 0.15604864568 186% => OK
Paragraph topic coherence SD: 0.0834449681665 0.0819641961636 102% => OK
Essay readability:
automated_readability_index: 11.0 13.2329268293 83% => Automated_readability_index is low.
flesch_reading_ease: 61.67 61.2550243902 101% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 11.43 11.4140731707 100% => OK
dale_chall_readability_score: 7.2 8.06136585366 89% => OK
difficult_words: 37.0 40.7170731707 91% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 9.2 10.9970731707 84% => 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.