The bar chart below shows different methods of waste disposal in four cities: Toronto, Madrid, Kuala Lumpur, and Amman.
The bar chart represents how many waste disposal is used by people in different methods in four countries. Overall, it is important to take account that in Toronto and Amman, more waste is used for landfill method. While in Madrid and Kuala Lumpur use more waste on incineration method.
Moving to a more detailed analysis, in Toronto, Madrid, and Amman, using more waste on Incineration and landfill method, with 10%, 74% (Toronto), and 29%, 39% (Madrid), 38%, 49% (Amman) each. Where the figure for landfill method in Toronto is the maximum recorded. By contrast, recycling and compositing method is less used in that countries, with that compositing has the lowest figure shown.
On the other hand, in Kuala Lumpur, there is large percentage of waste disposal in incineration and recycling method, recording by more than fifth. Standing in contrast, at 18 % of waste is used for landfill method in Kuala Lumpur. While that only 7 % of waste is used for composting.
Post date | Users | Rates | Link to Content |
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2018-10-10 | Harrykaur | 78 | view |
2020-09-12 | chungoclan2004 | 67 | view |
2019-10-14 | Thang Tran | 73 | view |
2023-10-19 | ililmaidatuz | 78 | view |
2018-10-14 | paramveersingh | 84 | view |
- The table below shows how many people in millions used different forms of public transport in Milan from 2010 to 2014 47
- Plan A below shows a health centre in 2005 Plan B shows the same place in the present day Summarise the information by selecting and reporting the main features and make comparisons where relevant 63
- In some countries secondary schools aim to provide a general education across a range of subjects In others children focus on a narrow range of subjects related to a particular career For today s world which system is appropriate 34
- The pie charts show the average consumption of food in the world in 2008 compared to two countries China and India 50
- no 11
Transition Words or Phrases used:
if, while, in contrast, on the other hand
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 : 7.0 6.8 103% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 25.0 33.7804878049 74% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 801.0 965.302439024 83% => OK
No of words: 161.0 196.424390244 82% => More content wanted.
Chars per words: 4.9751552795 4.92477711251 101% => OK
Fourth root words length: 3.56210296601 3.73543355544 95% => OK
Word Length SD: 2.64460588867 2.65546596893 100% => OK
Unique words: 86.0 106.607317073 81% => More unique words wanted.
Unique words percentage: 0.534161490683 0.547539520022 98% => OK
syllable_count: 248.4 283.868780488 88% => 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: 1.0 4.33902439024 23% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 7.0 3.36585365854 208% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 39.765982112 43.030603864 92% => OK
Chars per sentence: 89.0 112.824112599 79% => OK
Words per sentence: 17.8888888889 22.9334400587 78% => OK
Discourse Markers: 4.55555555556 5.23603664747 87% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
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 : 7.0 1.13902439024 615% => Less negative sentences wanted.
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.380825526934 0.215688989381 177% => OK
Sentence topic coherence: 0.178528028961 0.103423049105 173% => OK
Sentence topic coherence SD: 0.0940631079035 0.0843802449381 111% => OK
Paragraph topic coherence: 0.288085981654 0.15604864568 185% => OK
Paragraph topic coherence SD: 0.0969944621043 0.0819641961636 118% => OK
Essay readability:
automated_readability_index: 11.0 13.2329268293 83% => Automated_readability_index is low.
flesch_reading_ease: 62.68 61.2550243902 102% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 11.31 11.4140731707 99% => OK
dale_chall_readability_score: 8.11 8.06136585366 101% => OK
difficult_words: 37.0 40.7170731707 91% => OK
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 8.8 10.9970731707 80% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.