The table below shows the amount of waste production (in millions of tonnes) in six different countries over a twenty-year period.
Write a report for a university, lecturer describing the information shown below.
Summarise the information by selecting and reporting the main features and make comparisons where relevant.
The table chart illustrates the number of waste production in 6 different countries from 1980 to 2000.
Overall, the waste production in the USA, Poland, Portugal, Ireland, Japan increased dramatically and only Korea was the nation that reduced the amount of waste over a twenty-year period. The USA had the highest amount of tonnes.
First of all, there was 0.6 millions of waste products in Ireland in 1980 and in 1990, this number was not available then reached to 5 millions in 10 years later. Secondly, Japan had 28 millions of tonnes in 1980 before rising significantly to 53 millions of tonnes in 2000. Thirdly, the amount of waste in Poland was higher than Portugal by double in 1980 and both increased slowly by 1 millions in 1990 then increased slowly to 6.6 millions and 5 millions respectively in the next 10 years. In addition, the USA had the highest number of waste production, which took 131 millions in 1980 and this figure witnessed a huge change, which rose enormously by 60 millions of tonnes in 2000.
On the other hand, in 1980, there was no figure of waste production in Korea in 1980, while it held 31 millions in 1990. After that, there was a downward to 19 millions in Korea in 2000.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-03-13 | quytnee | 67 | view |
| 2021-12-13 | buiminhduc | 67 | view |
| 2021-12-13 | buiminhduc | 67 | view |
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Grammar and spelling errors:
Line 3, column 27, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '6 million'.
Suggestion: 6 million
...t of tonnes. First of all, there was 0.6 millions of waste products in Ireland in 1980 and i...
^^^^^^^^^^^^^
Line 3, column 183, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '28 million'.
Suggestion: 28 million
... in 10 years later. Secondly, Japan had 28 millions of tonnes in 1980 before rising significan...
^^^^^^^^^^^^^^
Line 3, column 244, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '53 million'.
Suggestion: 53 million
... in 1980 before rising significantly to 53 millions of tonnes in 2000. Thirdly, the amount of ...
^^^^^^^^^^^^^^
Line 3, column 656, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '60 million'.
Suggestion: 60 million
...a huge change, which rose enormously by 60 millions of tonnes in 2000. On the other hand, in ...
^^^^^^^^^^^^^^
Transition Words or Phrases used:
first, if, second, secondly, then, third, thirdly, while, in addition, first of all, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 45.0 33.7804878049 133% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 999.0 965.302439024 103% => OK
No of words: 214.0 196.424390244 109% => OK
Chars per words: 4.66822429907 4.92477711251 95% => OK
Fourth root words length: 3.82475343497 3.73543355544 102% => OK
Word Length SD: 2.58436563966 2.65546596893 97% => OK
Unique words: 105.0 106.607317073 98% => OK
Unique words percentage: 0.490654205607 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 281.7 283.868780488 99% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 56.8769518726 43.030603864 132% => OK
Chars per sentence: 111.0 112.824112599 98% => OK
Words per sentence: 23.7777777778 22.9334400587 104% => OK
Discourse Markers: 11.3333333333 5.23603664747 216% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 4.0 1.69756097561 236% => Less language errors wanted.
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: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.189870168238 0.215688989381 88% => OK
Sentence topic coherence: 0.0937232427115 0.103423049105 91% => OK
Sentence topic coherence SD: 0.0459369445202 0.0843802449381 54% => OK
Paragraph topic coherence: 0.133545879975 0.15604864568 86% => OK
Paragraph topic coherence SD: 0.0388905782665 0.0819641961636 47% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 12.5 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 73.51 61.2550243902 120% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 10.1 11.4140731707 88% => OK
dale_chall_readability_score: 7.65 8.06136585366 95% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
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.