The charts below show the number of people in Europe who were affected by four types of noise by day and by night in cities and rural areas.
The bar graph depicts the number of people in Europe were affected by four kinds of noise in urban areas and rural areas during day and night in the year 2007.
At the first glance, in urban areas people who are affected by noise is because of traffic during day time. However, in countryside also people got disturbed by traffic noise in day hours.
Looking at the information in more detail, in metropolitan areas as there is huge population and more and more cars on road there is the highest noise by traffic in day it is 64 millions and at night it gets less by 48 millions. Train produce almost same amount of noise in 24 hours is 10 millions in day and 8 millions at night. While, industry makes only 1 millions at day and quarter at night.
Moreover, farmland areas also build more noise by traffic at around 34 millions in day and 24 millions at night. Apart from that, train witnessed 8 millions at day and 2 millions less than day in night hours. Although, aircraft produce almost similar noise in both day and night at about 2 and 1 millions. But, in rural areas there is no industry so it does not produce any kind on noise.
- The charts below show the number of people in Europe who were affected by four types of noise by day and by night in cities and rural areas 81
- Somelome people think that the best way to reduce crime is to give longer prison sentences Others however believe there are better alternative ways to reducing crime Discuss both views and give your opinion 67
- The charts below show the number of people in Europe who are affected by four types of noise by day and by night in cities and rural areas in 2007 61
- Level of youth crime are increasing rapidly in most cities around the world What are the reasons for this and suggest some solutions 56
- Major cities in the world are growing fast as well as their problems What are the problems that young people living in those cities are facing Suggest some solutions 78
Transition Words or Phrases used:
also, but, first, however, look, moreover, so, while, apart from
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 11.0 6.8 162% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 42.0 33.7804878049 124% => 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: 935.0 965.302439024 97% => OK
No of words: 212.0 196.424390244 108% => OK
Chars per words: 4.41037735849 4.92477711251 90% => OK
Fourth root words length: 3.81578560438 3.73543355544 102% => OK
Word Length SD: 2.29073912964 2.65546596893 86% => OK
Unique words: 99.0 106.607317073 93% => More unique words wanted.
Unique words percentage: 0.466981132075 0.547539520022 85% => More unique words wanted or less content wanted.
syllable_count: 279.9 283.868780488 99% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => 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: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 45.1846212776 43.030603864 105% => OK
Chars per sentence: 93.5 112.824112599 83% => OK
Words per sentence: 21.2 22.9334400587 92% => OK
Discourse Markers: 6.4 5.23603664747 122% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 4.0 1.13902439024 351% => Less 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: 0.307182324411 0.215688989381 142% => OK
Sentence topic coherence: 0.152205999367 0.103423049105 147% => OK
Sentence topic coherence SD: 0.112141658194 0.0843802449381 133% => OK
Paragraph topic coherence: 0.250456163187 0.15604864568 160% => OK
Paragraph topic coherence SD: 0.128327648473 0.0819641961636 157% => OK
Essay readability:
automated_readability_index: 9.9 13.2329268293 75% => Automated_readability_index is low.
flesch_reading_ease: 75.54 61.2550243902 123% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 8.3 11.4140731707 73% => OK
dale_chall_readability_score: 6.84 8.06136585366 85% => OK
difficult_words: 29.0 40.7170731707 71% => More difficult words wanted.
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 10.0 11.0658536585 90% => 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.