The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The line graph provides and projects information on the rural people’s movement tendency to urban areas in 3 different countries namely Iran, Indonesia and Russia in a 25-year period starting from 2000.
From an overall perspective, more and more Iranians, Indonesians and Russians decided to move to nonrural areas. This trend is predicted to continue in the next 5 years. Another noticeable point is that the number of moving people in Iran appears to be the highest among the three.
In terms of Indonesia, in 2000 the number of people recorded moving to towns was slightly under 10 million. Following that, this figure sequentially surged until 2020, climaxing at the vertex of 30 million before being forecasted to remain stable for half of the decade.
Turning to Iran and Russia, both countries share the same upward pattern in the trend of urban migrants, starting with roughly 8 and 14 million, correspondingly. Subsequently,they both experienced a dip and a slump, however, in different timelines. To be specific, the former for Iran and Russia took place in 2005 to approximately 7 million and 2010 to nearly 35 million,respectively, while the latter was in 2010 to one-third of 100 million and in 2015 to slightly above 70 million. Both tendencies are predicted to progressively rise in the near future, to 80 million in Russia and more than 90 million in Iran.
Grammar and spelling errors:
Line 7, column 175, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , they
...4 million, correspondingly. Subsequently,they both experienced a dip and a slump, how...
^^^^^
Line 7, column 265, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... in different timelines. To be specific, the former for Iran and Russia took plac...
^^
Line 7, column 373, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , respectively
... 7 million and 2010 to nearly 35 million,respectively, while the latter was in 2010 to one-th...
^^^^^^^^^^^^^
Transition Words or Phrases used:
however, if, third, 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: 5.0 5.60731707317 89% => OK
Preposition: 47.0 33.7804878049 139% => 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: 1159.0 965.302439024 120% => OK
No of words: 228.0 196.424390244 116% => OK
Chars per words: 5.08333333333 4.92477711251 103% => OK
Fourth root words length: 3.88582923847 3.73543355544 104% => OK
Word Length SD: 3.0842627932 2.65546596893 116% => OK
Unique words: 140.0 106.607317073 131% => OK
Unique words percentage: 0.614035087719 0.547539520022 112% => OK
syllable_count: 342.0 283.868780488 120% => 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: 2.0 4.33902439024 46% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 51.8790902002 43.030603864 121% => OK
Chars per sentence: 115.9 112.824112599 103% => OK
Words per sentence: 22.8 22.9334400587 99% => OK
Discourse Markers: 2.5 5.23603664747 48% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.125140652106 0.215688989381 58% => OK
Sentence topic coherence: 0.0508428816777 0.103423049105 49% => OK
Sentence topic coherence SD: 0.0630903383946 0.0843802449381 75% => OK
Paragraph topic coherence: 0.094556814136 0.15604864568 61% => OK
Paragraph topic coherence SD: 0.0815606401646 0.0819641961636 100% => OK
Essay readability:
automated_readability_index: 13.9 13.2329268293 105% => OK
flesch_reading_ease: 57.61 61.2550243902 94% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 12.48 11.4140731707 109% => OK
dale_chall_readability_score: 9.09 8.06136585366 113% => OK
difficult_words: 63.0 40.7170731707 155% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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Rates: 89.8876404494 out of 100
Scores by essay e-grader: 8.0 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.