The maps below show the changes that have taken place at the waterfront area of a town called Darwin between 2009 and 2014.
The maps show how the town named Darwin was developed from 2009 to 2014. Overall, the landscape of the town was completely changed with the construction of the replacement of the industrial area with residential, recreational, and academic amenities. In addition, the changes involve the improvement of transport infrastructure.
In 2009, the major part of the town was covered by the industrial area which was obliterated after 5 years to make room for a large green area with a lot of trees. In the centre of the town, three new residential buildings were erected, adjacent to three old ones and there was a new university building was built. In the north of the town, a part of the industrial zone was converted into a swimming pool while there was no change with the school, convention centre and two former swimming pools.
In terms of access, there was a newly-constructed harbor on the seashore and a footpath to connect the harbor with the main road in the west of the town. In contrast, the footpath which encircles the centre of the town was unchanged.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-09-06 | maiphuonganh | 56 | view |
| 2023-07-20 | baoquyen1906 | 73 | view |
| 2023-07-05 | phamkhuyen | 78 | view |
| 2023-06-14 | ThHuong | 87 | view |
| 2023-03-18 | kieutrangkg1 | 78 | view |
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- The line graph below shows the cases of diseases caused by the X virus in Australia from 1960 to 1995 Summarise the information by selecting and reporting the main features and make comparisons where relevant 95
- Films are less important than other forms of art like literature and painting To what extent do you agree or disagree 56
Grammar and spelling errors:
Line 3, column 165, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...a large green area with a lot of trees. In the centre of the town, three new resid...
^^
Line 3, column 316, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...as a new university building was built. In the north of the town, a part of the in...
^^
Line 5, column 1, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...entre and two former swimming pools. In terms of access, there was a newly-cons...
^^
Line 5, column 155, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
... the main road in the west of the town. In contrast, the footpath which encircles ...
^^
Transition Words or Phrases used:
while, in addition, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 7.0 157% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 886.0 965.302439024 92% => OK
No of words: 183.0 196.424390244 93% => More content wanted.
Chars per words: 4.84153005464 4.92477711251 98% => OK
Fourth root words length: 3.67800887145 3.73543355544 98% => OK
Word Length SD: 2.93603867331 2.65546596893 111% => OK
Unique words: 97.0 106.607317073 91% => More unique words wanted.
Unique words percentage: 0.530054644809 0.547539520022 97% => OK
syllable_count: 261.0 283.868780488 92% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 44.2773573624 43.030603864 103% => OK
Chars per sentence: 110.75 112.824112599 98% => OK
Words per sentence: 22.875 22.9334400587 100% => OK
Discourse Markers: 3.875 5.23603664747 74% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
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 : 2.0 1.13902439024 176% => OK
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: 0.166496757151 0.215688989381 77% => OK
Sentence topic coherence: 0.0895721170261 0.103423049105 87% => OK
Sentence topic coherence SD: 0.083156925804 0.0843802449381 99% => OK
Paragraph topic coherence: 0.129438877264 0.15604864568 83% => OK
Paragraph topic coherence SD: 0.0868973552549 0.0819641961636 106% => OK
Essay readability:
automated_readability_index: 12.8 13.2329268293 97% => OK
flesch_reading_ease: 66.07 61.2550243902 108% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 11.09 11.4140731707 97% => OK
dale_chall_readability_score: 8.09 8.06136585366 100% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 12.0 11.4329268293 105% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.