The charts below show the growth in the population in some of the world’s largest cities. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
The bar chart demonstrates the increased rate of citizens of five particular cities on the planet, and their distribution to the countrysides and towns.
Overall, what stands out from the graph is that from the beginning Tokyo had the highest growth rate, while Bombay in the early stage, though the rate was low, in the passage of time its growth rate was increased highly. Jakarta had the same trend as Bombay. In the case of New York, the change was not significant as the others had.
Regarding Tokyo which had the maximum number of growth over the three periods among the mentioned cities. It started approximately from 16 million and end with 28 million. On average the accrual rate is four million, while the number was far more in the case of Bombay and Jakarta. In 1970 Bombay had 5 million inhabitants and Jakarta had less than five. In the next year, the value went over and nearly 10 million respectively. After four decades the growth rose so highly and remained over 25 and 15 million for the former and latter city.
Turning to the other two towns, no noticeable change is observed in New York, the difference between beginning and ending point, not more than 4 million, while in Shanghai in 2010 the increased rate is so high comparing the previous two decades and the remained number almost 10 million more than the previous.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2021-07-10 | Sanaullah97 | 31 | view |
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Grammar and spelling errors:
Line 3, column 543, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...million for the former and latter city. Turning to the other two towns, no noti...
^^^
Line 4, column 32, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...city. Turning to the other two towns, no noticeable change is observed in New ...
^^
Transition Words or Phrases used:
but, if, regarding, so, while
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 : 11.0 6.8 162% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
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: 1111.0 965.302439024 115% => OK
No of words: 235.0 196.424390244 120% => OK
Chars per words: 4.72765957447 4.92477711251 96% => OK
Fourth root words length: 3.91531732006 3.73543355544 105% => OK
Word Length SD: 2.43131077175 2.65546596893 92% => OK
Unique words: 128.0 106.607317073 120% => OK
Unique words percentage: 0.544680851064 0.547539520022 99% => OK
syllable_count: 332.1 283.868780488 117% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 5.0 1.07073170732 467% => Less adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 7.0 3.36585365854 208% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 76.544050948 43.030603864 178% => OK
Chars per sentence: 101.0 112.824112599 90% => OK
Words per sentence: 21.3636363636 22.9334400587 93% => OK
Discourse Markers: 2.63636363636 5.23603664747 50% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
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: 0.0367421789203 0.215688989381 17% => OK
Sentence topic coherence: 0.0151791185747 0.103423049105 15% => OK
Sentence topic coherence SD: 0.0218654211198 0.0843802449381 26% => Sentences are similar to each other.
Paragraph topic coherence: 0.0292577077887 0.15604864568 19% => OK
Paragraph topic coherence SD: 0.0238554135353 0.0819641961636 29% => 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: 11.5 13.2329268293 87% => Automated_readability_index is low.
flesch_reading_ease: 67.08 61.2550243902 110% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.15 11.4140731707 89% => OK
dale_chall_readability_score: 7.77 8.06136585366 96% => OK
difficult_words: 46.0 40.7170731707 113% => 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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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 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.