The bar charts show how many people were influenced by four types of noise pollution namely traffic, train, aircraft, and industry in day and night in urban and rural areas in 2007.
Overall, it is clear that the number of people affected by traffic noise was generally the highest among the four surveyed and they witnessed the influence mostly during the day. Units are measured in millions.
Daytime noise by traffic affected 64 million people in cities, compared to just 34 people in countrysides. At night, the figure influenced 48 citizens in downtowns, almost doubled the figure for rural areas. Noise pollution caused by train affected slightly fewer people than the former in both cities and rural areas, at 10 million and 8 million people respectively during daytime and at 8 billion and 6 billion people respectively during nighttime.
A few people affected by noise caused by aircraft, only 4 million people in cities during the day and 1 million people at night. The figure for the countryside was two times lower than the former during the daytime, at 2 million, and as same as that at night. Rural citizens were not affected by noise from industry; however, 1 million city people experienced industrial noise during the daytime, 4 times the number affected at night.
- The charts below show the proportion of British students at one university in England who were able to speak other languages in addition to English, in 2000 and 2010. 84
- Scientific research should be carried out and controlled by governments rather than private companies. Do you agree or disagree? 84
- The tables below give information about the sales of Fairtrade-labelled coffee and bananas in 1999 and 2004 in five European countries. 61
- Many parents complain that computer games have no value to their children’s studies. On the contrary, those online games have produced a lot of negative effects on their mental development. What is your opinion? 73
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s. 61
Transition Words or Phrases used:
however
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 : 10.0 6.8 147% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 34.0 33.7804878049 101% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 1078.0 965.302439024 112% => OK
No of words: 215.0 196.424390244 109% => OK
Chars per words: 5.01395348837 4.92477711251 102% => OK
Fourth root words length: 3.82921379641 3.73543355544 103% => OK
Word Length SD: 2.54488745061 2.65546596893 96% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.497674418605 0.547539520022 91% => More unique words wanted or less content wanted.
syllable_count: 323.1 283.868780488 114% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 57.3051179495 43.030603864 133% => OK
Chars per sentence: 119.777777778 112.824112599 106% => OK
Words per sentence: 23.8888888889 22.9334400587 104% => OK
Discourse Markers: 0.777777777778 5.23603664747 15% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 3.0 1.13902439024 263% => Less negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.38560200248 0.215688989381 179% => OK
Sentence topic coherence: 0.173956997909 0.103423049105 168% => OK
Sentence topic coherence SD: 0.125582466706 0.0843802449381 149% => OK
Paragraph topic coherence: 0.257421061332 0.15604864568 165% => OK
Paragraph topic coherence SD: 0.0896253879309 0.0819641961636 109% => OK
Essay readability:
automated_readability_index: 14.1 13.2329268293 107% => OK
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: 12.07 11.4140731707 106% => OK
dale_chall_readability_score: 8.3 8.06136585366 103% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 10.5 11.4329268293 92% => 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.