Waste disposal in four cities
The bar chart illustrates, the amount of waste being disposed of in four cities in four different ways, measured in percentage.
Overall, In Toronto, there is a high trend of landfills being used for waste disposal, and the least city that makes use of landfills for waste disposal is Kuala Lumper. Moving on, there is a reverse trend followed when we look at incineration, Kuala Lumper tops the spot and Toronto is at the bottom. Besides this, two cities Madrid, and Kuala Lumper share the spot for the top position when we look at the recycling method, while Toronto once again shows a downward trend in recycling. Lastly, compositing is mostly used by the three cities except for Amman where it is used only a minimal amount.
First of all, sitting at the top spot at about 74% Toronto is the city that uses landfill the most as waste disposal; meanwhile, there is more than 30% difference between Madrid and Toronto in this category. As for incineration, it shows that Madrid occupies 40%, which comes out to be three times greater than Toronto. Turning to recycle, it can be seen that the same pattern is followed by Madrid at just above 20%, but now it is almost twice the size of Toronto. Finally, when it comes to compositing, both cities Toronto and Madrid are just below 10% and have a slight difference of about 2% between them.
Another trend that can be observed is that Amman is the second city that uses landfills the most with just below 50% respectively. In the following way, Kula Lumper takes the first spot when it comes to incineration with about 54% and Amman is just under 40%. When it comes to recycling, both cities have a 12% difference and Kuala Lumper was most popular among the two cities when it comes to using recycling. In the last, Amman is just on the floor about 2% and Kuala Lumper sits at 6% when it comes to compositing.
Transition Words or Phrases used:
besides, but, finally, first, if, lastly, look, second, while, as for, except for, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 21.0 7.0 300% => Less to be verbs wanted.
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 16.0 3.15609756098 507% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 21.0 5.60731707317 375% => Less pronouns wanted
Preposition: 49.0 33.7804878049 145% => OK
Nominalization: 7.0 3.97073170732 176% => OK
Performance on vocabulary words:
No of characters: 1541.0 965.302439024 160% => OK
No of words: 333.0 196.424390244 170% => Less content wanted.
Chars per words: 4.62762762763 4.92477711251 94% => OK
Fourth root words length: 4.27180144563 3.73543355544 114% => OK
Word Length SD: 2.41084103517 2.65546596893 91% => OK
Unique words: 156.0 106.607317073 146% => OK
Unique words percentage: 0.468468468468 0.547539520022 86% => More unique words wanted or less content wanted.
syllable_count: 474.3 283.868780488 167% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 4.0 1.07073170732 374% => Less adverbial clause wanted.
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 13.0 8.94146341463 145% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 28.796778255 43.030603864 67% => OK
Chars per sentence: 118.538461538 112.824112599 105% => OK
Words per sentence: 25.6153846154 22.9334400587 112% => OK
Discourse Markers: 7.30769230769 5.23603664747 140% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 3.0 1.13902439024 263% => 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: 0.220518487906 0.215688989381 102% => OK
Sentence topic coherence: 0.0945320190252 0.103423049105 91% => OK
Sentence topic coherence SD: 0.13609278701 0.0843802449381 161% => OK
Paragraph topic coherence: 0.203257951321 0.15604864568 130% => OK
Paragraph topic coherence SD: 0.175974080443 0.0819641961636 215% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 13.2 13.2329268293 100% => OK
flesch_reading_ease: 63.02 61.2550243902 103% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 9.87 11.4140731707 86% => OK
dale_chall_readability_score: 7.63 8.06136585366 95% => OK
difficult_words: 58.0 40.7170731707 142% => OK
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 12.0 10.9970731707 109% => OK
text_standard: 13.0 11.0658536585 117% => 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.