The graph below shows the amounts of waste produced by three companies over a period of 15 years.
The change in tonnes of waste production in three different firms from 2000 to 2015 is displayed in the line graph.
Overall, company A were more likely to waste among the two other companies. Meanwhile, all figures experienced a downward trend, except company C.
Initially, the vast majority of litters were produced by company A at 12 tonnes, being the maximum data recorded. Turning to the both rests, the waste production of company B accounted for slightly below 9 tonnes, which that of company C were lower than that of company B, with approximately a third of the former.
Eventually, company A witnessed a significant decrease to have tonnes of waste as same as that of company B in the initial year. When it comes to that of company B in the last period, although it had peaked by 2005, it declined dramatically to only 3 tonnes. This contrasts to company C, its figure increased significantly to exceed 9 tonnes, breaking the record as the biggest in the eventual year.
Post date | Users | Rates | Link to Content |
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2023-12-13 | Wardiati Yusuf | 60 | view |
2023-12-04 | klnhhhh01 | 70 | view |
2023-11-11 | Daniel3003 | 67 | view |
2023-11-11 | Daniel3003 | 67 | view |
2023-11-11 | Daniel3003 | 67 | view |
- The average prices per kilometre of clothing imported into the European Union from six different countries in 1993 and 2003 are shown in the bar chart below Summarize the information by selecting and reporting the main features and make comparisons where 89
- The graphs below show the types of music albums purchased by people in Britain according to sex and age 84
- The graph below shows the number of overseas visitors who came to the UK for different purposes between 1989 and 2009 78
- The graph below shows the amounts of waste produced by three companies over a period of 15 years 78
- The graph below shows the percentage of people going to cinemas in one European country on different days 78
Transition Words or Phrases used:
if, third, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 0.0 6.8 0% => More conjunction wanted.
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 9.0 5.60731707317 161% => Less pronouns wanted
Preposition: 31.0 33.7804878049 92% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 814.0 965.302439024 84% => OK
No of words: 170.0 196.424390244 87% => More content wanted.
Chars per words: 4.78823529412 4.92477711251 97% => OK
Fourth root words length: 3.61087313685 3.73543355544 97% => OK
Word Length SD: 2.80506215661 2.65546596893 106% => OK
Unique words: 103.0 106.607317073 97% => OK
Unique words percentage: 0.605882352941 0.547539520022 111% => OK
syllable_count: 253.8 283.868780488 89% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
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: 8.0 8.94146341463 89% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 37.966267923 43.030603864 88% => OK
Chars per sentence: 101.75 112.824112599 90% => OK
Words per sentence: 21.25 22.9334400587 93% => OK
Discourse Markers: 2.0 5.23603664747 38% => 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 : 4.0 1.13902439024 351% => 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: 0.284647699085 0.215688989381 132% => OK
Sentence topic coherence: 0.113406218788 0.103423049105 110% => OK
Sentence topic coherence SD: 0.0433897281554 0.0843802449381 51% => OK
Paragraph topic coherence: 0.152269949447 0.15604864568 98% => OK
Paragraph topic coherence SD: 0.0308217908084 0.0819641961636 38% => 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: 11.8 13.2329268293 89% => Automated_readability_index is low.
flesch_reading_ease: 58.62 61.2550243902 96% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 10.5 11.4140731707 92% => OK
dale_chall_readability_score: 8.58 8.06136585366 106% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.