The given line graph below illustrates the number of people moved from rural to urban areas of three different countries.
The line graph compares three different countries in terms of the migrants who migrated from rural area to the urban cities of these countries over the period of quarter century. Units are measured in millions.
Overall, it is clear that the trends show an upward trajectory. Interestingly, although Iran had the least number of migrants at the beginning, it surpassed and forecasted to has the highest number of migrants.
All the three countries began the period approximately at the same number. In 2000, the figure for Russia started the period at around 15 million and increased gradually by about 28 million through the decade, then the figure skyrocketed by 27 million in following 5 years. From 2015 Russia's figure grows consistently and predicted to continue rising.
Similarly, the number of migrants of Iran started the period with slow increase at about 8 million, then from 2015 witnessed significant growth till 2020 and forecasted to continue soaring by the end of 2025. It is interesting that the figure for Indonesia felt a gradual rise from 2000, and predicted to level off from 2020 to 2025.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2021-06-02 | Ismoilkhon | 78 | view |
| 2021-06-02 | Ismoilkhon | 49 | view |
- The given line graph below illustrates the number of people moved from rural to urban areas of three different countries 49
- The graph below shows the differences in wheat exports over three different areas 77
- The line graph gives information about the number of Iranian Greek and Turkish students who enrolled at Sheffield University between 2005 and 2009 78
- The line graph gives information about the number of Iranian Greek and Turkish students who enrolled at Sheffield University between 2005 and 2009 78
- The graph below shows the number of hours per day on average that children spent watching television between 1950 and 2010
Grammar and spelling errors:
Line 3, column 176, Rule ID: TO_NON_BASE[1]
Message: The verb after "to" should be in the base form: 'have'.
Suggestion: have
...ginning, it surpassed and forecasted to has the highest number of migrants. All...
^^^
Transition Words or Phrases used:
if, similarly, so, then
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 38.0 33.7804878049 112% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 936.0 965.302439024 97% => OK
No of words: 184.0 196.424390244 94% => More content wanted.
Chars per words: 5.08695652174 4.92477711251 103% => OK
Fourth root words length: 3.68302321012 3.73543355544 99% => OK
Word Length SD: 2.72260369655 2.65546596893 103% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.58152173913 0.547539520022 106% => OK
syllable_count: 270.0 283.868780488 95% => 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: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 60.5336351763 43.030603864 141% => OK
Chars per sentence: 104.0 112.824112599 92% => OK
Words per sentence: 20.4444444444 22.9334400587 89% => OK
Discourse Markers: 2.55555555556 5.23603664747 49% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More 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: 0.214523207268 0.215688989381 99% => OK
Sentence topic coherence: 0.0853388969709 0.103423049105 83% => OK
Sentence topic coherence SD: 0.112644265854 0.0843802449381 133% => OK
Paragraph topic coherence: 0.139994733594 0.15604864568 90% => OK
Paragraph topic coherence SD: 0.120232456373 0.0819641961636 147% => OK
Essay readability:
automated_readability_index: 12.8 13.2329268293 97% => OK
flesch_reading_ease: 59.64 61.2550243902 97% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 12.24 11.4140731707 107% => OK
dale_chall_readability_score: 8.4 8.06136585366 104% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 10.0 11.0658536585 90% => OK
What are above readability scores?
---------------------
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.