The chart below shows the number of people in Europe who were affected by four types of noise by day and by night in cities and rural areas in 2007.
The given picture demonstrates the quantity of people in Europe who were impacted by noise from traffic, trains, aircraft and industry by time of day and night in urban areas and outskirts in 2007.
Overall, traffic was the main source of causing much more noise than other categories, followed by trains and lastly aircraft. Notably, individuals in both cities and countryside were most-disturbed by all four types of noise during the period of day compared to nighttime.
Noise deriving from traffic was common during the day and the night affected 64 million and 48 million individuals correspondingly, which was double the rural figure for traffic noise (34 million and 24 million respectively). Turning to noise from train, in cities,10 million people were reported to be annoyed by train in the day and 8 million people in the night. In rural areas, the data was slightly lower (8 million and 6 million people).
Aircraft and industry caused less disturbance to people in either cities or suburbs in 2007. Aircraft accounted for 4 million and 1 million city dwellers who were influenced by the noise in the day and the night. Similarly, aircraft noise affected to 2 million people in rural areas at daytime and 1 million people at nighttime. The data of industry noise in the outskirts was negligible and in cities stood at higher number of people affected by industry noise during day and night with the respective figure being 1 million and 0.25 million.
- It is important for everyone including young people to save money for their future To what extent do you agree or disagree with this statement 78
- The chart shows requests for information at a tourist office in the United Kingdom from January to June 73
- The bar chart below shows the popularity of well known Instagram accounts in 2018 and 2021 78
- The graph below gives information on the numbers of participants for different activities at one social centre in Melbourne Australia for the period 2000 to 2020 Summarise the information by selecting and reporting the main features and make comparisons w 73
- Today many people do not know their neighbors Why is this What can be done about this 78
Transition Words or Phrases used:
lastly, similarly, so, well
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 7.0 157% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 18.0 6.8 265% => Less conjunction wanted
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1219.0 965.302439024 126% => OK
No of words: 245.0 196.424390244 125% => OK
Chars per words: 4.97551020408 4.92477711251 101% => OK
Fourth root words length: 3.95632099841 3.73543355544 106% => OK
Word Length SD: 2.69481739944 2.65546596893 101% => OK
Unique words: 111.0 106.607317073 104% => OK
Unique words percentage: 0.45306122449 0.547539520022 83% => More unique words wanted or less content wanted.
syllable_count: 360.9 283.868780488 127% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => 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: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 48.1979252666 43.030603864 112% => OK
Chars per sentence: 121.9 112.824112599 108% => OK
Words per sentence: 24.5 22.9334400587 107% => OK
Discourse Markers: 2.7 5.23603664747 52% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 5.0 1.13902439024 439% => 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: 0.345588736007 0.215688989381 160% => OK
Sentence topic coherence: 0.162071071586 0.103423049105 157% => OK
Sentence topic coherence SD: 0.079515140694 0.0843802449381 94% => OK
Paragraph topic coherence: 0.231447349436 0.15604864568 148% => OK
Paragraph topic coherence SD: 0.0714753862728 0.0819641961636 87% => OK
Essay readability:
automated_readability_index: 14.3 13.2329268293 108% => OK
flesch_reading_ease: 55.58 61.2550243902 91% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 11.9 11.4140731707 104% => OK
dale_chall_readability_score: 8.24 8.06136585366 102% => OK
difficult_words: 53.0 40.7170731707 130% => OK
linsear_write_formula: 14.0 11.4329268293 122% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
---------------------
Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.