The given chart illustrates the information about the percentage change in average houses in five cities of different countries over the period of 12 years from 1990 to 2002 which is compared with the average house prices in 1989.
According to the chart,regarding the prices of houses from 1990 to 1995, it is clearly seen that Madrid(Spain) and Frankfurt(Germany) experienced a similar change of increment. While the three former declined significantly by 5 percent in New York(USA) and about 8 percent in London(UK) and Tokyo(Japan).
As far as the next period (1996-2002) is concerned , it is immediately obvious that the percentage of Tokyo(Japan) in average house prices is decreased by 5 percent. In contract , the average house prices increased in rest of the cities. In New York(USA) , it is increased by 5 percent, Madrid(Spain) by 4 percent , Frankfurt(Germany) by 2 percent and London(UK) shows the highest of 11 percent increment.
All in all , there are difference in average house prices between the mentioned five cities. The difference may be the result of population change or the number of houses required in a city.
- The pie chart below shows the main reasons why agricultural land becomes less productive. the table shows how these causes affected three regions of the world during the 1990s.Summarise the information by selecting and reporting the main features , and ma 61
- The chart below shows information about changes in average house prices in five different cities between 1990 and 2002 compared with the average house prices in 1989.Summarise the information by selecting and reporting the main features, and make comparis 73
- The line graph below gives information about the rates of unemployment between 1991 and 2005 in three different countries in Europe The table shows the percentage of men and women in the workforce in these three countries 34
Grammar and spelling errors:
Line 3, column 23, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , regarding
...rices in 1989. According to the chart,regarding the prices of houses from 1990 to 1995,...
^^^^^^^^^^
Line 3, column 109, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...995, it is clearly seen that MadridSpain and FrankfurtGermany experienced a simil...
^^
Line 5, column 49, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...s the next period 1996-2002 is concerned , it is immediately obvious that the perc...
^^
Line 5, column 249, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d in rest of the cities. In New YorkUSA, it is increased by 5 percent, MadridSpai...
^^^
Line 5, column 306, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...d by 5 percent, MadridSpain by 4 percent , FrankfurtGermany by 2 percent and Londo...
^^
Transition Words or Phrases used:
if, may, regarding, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 37.0 33.7804878049 110% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 935.0 965.302439024 97% => OK
No of words: 183.0 196.424390244 93% => More content wanted.
Chars per words: 5.10928961749 4.92477711251 104% => OK
Fourth root words length: 3.67800887145 3.73543355544 98% => OK
Word Length SD: 3.1690892019 2.65546596893 119% => OK
Unique words: 95.0 106.607317073 89% => More unique words wanted.
Unique words percentage: 0.51912568306 0.547539520022 95% => More unique words wanted or less content wanted.
syllable_count: 285.3 283.868780488 101% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => 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: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 49.3772151402 43.030603864 115% => OK
Chars per sentence: 116.875 112.824112599 104% => OK
Words per sentence: 22.875 22.9334400587 100% => OK
Discourse Markers: 3.125 5.23603664747 60% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
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: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.423537091327 0.215688989381 196% => OK
Sentence topic coherence: 0.193098264961 0.103423049105 187% => OK
Sentence topic coherence SD: 0.152734234727 0.0843802449381 181% => OK
Paragraph topic coherence: 0.278336950472 0.15604864568 178% => OK
Paragraph topic coherence SD: 0.152094411736 0.0819641961636 186% => OK
Essay readability:
automated_readability_index: 14.1 13.2329268293 107% => OK
flesch_reading_ease: 49.15 61.2550243902 80% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 12.65 11.4140731707 111% => OK
dale_chall_readability_score: 8.44 8.06136585366 105% => OK
difficult_words: 43.0 40.7170731707 106% => OK
linsear_write_formula: 14.5 11.4329268293 127% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 15.0 11.0658536585 136% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.