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.
Traffic noise was very common during the day and at night, affecting 64 million and 48 million individuals correspondingly, which was double the rural figure for traffic noise (34 million and 24 million respectively). Turning to train noise, in cities,10 million people were reported to be annoyed by train noise during the day and 8 million people at 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 1 million impacted during days and .25 during nights.
- Research shows that some activities are good for health and others are bad Despite knowing that millions of people engage in unhealthy activities What is the cause of this What can be done 84
- The given line chart demonstrates average attendance at the cinema across age demographics in the US between 2000 and 2011 Looking from an overall perspective it is readily apparent that young people especially teenagers and young adults tend to go to the 73
- The chart below shows waste collection by a recycling centre from 2011 to 2015 84
- The table and charts detailed below give information about the police budget in 2017 and 2018 in on area of Britain The table illustrates where the money came from and the charts show how it was distributed 73
- The maps below show a science park in 2008 and the same park today Summarize the information by selecting and reporting the main features and make comparisons where relevant 67
Transition Words or Phrases used:
lastly, similarly, so, well
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 17.0 6.8 250% => Less conjunction wanted
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 40.0 33.7804878049 118% => 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: 1148.0 965.302439024 119% => OK
No of words: 230.0 196.424390244 117% => OK
Chars per words: 4.99130434783 4.92477711251 101% => OK
Fourth root words length: 3.89432290496 3.73543355544 104% => OK
Word Length SD: 2.71994662463 2.65546596893 102% => OK
Unique words: 109.0 106.607317073 102% => OK
Unique words percentage: 0.473913043478 0.547539520022 87% => More unique words wanted or less content wanted.
syllable_count: 338.4 283.868780488 119% => 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: 23.0 22.4926829268 102% => OK
Sentence length SD: 40.7013513289 43.030603864 95% => OK
Chars per sentence: 114.8 112.824112599 102% => OK
Words per sentence: 23.0 22.9334400587 100% => 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 : 1.0 3.70975609756 27% => 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: 0.316437053857 0.215688989381 147% => OK
Sentence topic coherence: 0.149603252857 0.103423049105 145% => OK
Sentence topic coherence SD: 0.0801894500788 0.0843802449381 95% => OK
Paragraph topic coherence: 0.22099114369 0.15604864568 142% => OK
Paragraph topic coherence SD: 0.0627403569817 0.0819641961636 77% => OK
Essay readability:
automated_readability_index: 13.6 13.2329268293 103% => 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: 11.96 11.4140731707 105% => OK
dale_chall_readability_score: 8.28 8.06136585366 103% => OK
difficult_words: 51.0 40.7170731707 125% => OK
linsear_write_formula: 14.0 11.4329268293 122% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 14.0 11.0658536585 127% => 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.