The chart gives information about the percentage change in average house prices in five different cities located in five different countries over 12 year period between 1990 and 2002 compared with the average house prices in 1989.
According to the chart, during the period from 1990 to 1995 the average prices of houses in three cities decreased significantly by five percent in New York (USA) and about 7.5 percent in both Tokyo (Japan) and London (UK). While the average house prices increased slightly in two cities Madrid (Spain) and Frankfurt (Germany) by about 1.5 percent and 2 percent respectively.
As far as the next period (1996-2002) is concerned, it is clear that the average house prices decreased only in Tokyo (Japan) by 5 percent. In contrast the average house prices increased in the rest of cities. In New York it increased considerably by 5 percent, in Madrid it increased slightly by 4 percent, in Frankfurt it increased by 2 percent.
London has the largest increase in the average house price over the 6-year period from 1996 to 2002 as it increased dramatically by 11 percent.
All in all, there are wide difference in house prices between the five cities which illustrated in this chart. These differences may be a result of the number of population or the number of houses required in a certain 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 mak 78
- It is generally believed that some people are born with certain talents, for instance for sport or music, and others are not. However, It is sometimes claimed that any child can be taught to become a good sports person or musician.Discuss both these views 78
- The charts below show what UK graduate and postgraduate students who did not go into full-time work did after leaving college in 2008 89
- The chart below shows the total number of minutes (in billions) of telephone calls in the UK, divided into three categories, from 1995-2002.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 67
- The chart below shows the total number of minutes (in billions) of telephone calls in the UK, divided into three categories, from 1995-2002.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 78
Grammar and spelling errors:
Line 5, column 140, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[2]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: contrast,
...ed only in Tokyo Japan by 5 percent. In contrast the average house prices increased in t...
^^^^^^^^
Transition Words or Phrases used:
if, may, while, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 45.0 33.7804878049 133% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 1103.0 965.302439024 114% => OK
No of words: 225.0 196.424390244 115% => OK
Chars per words: 4.90222222222 4.92477711251 100% => OK
Fourth root words length: 3.87298334621 3.73543355544 104% => OK
Word Length SD: 2.64397754982 2.65546596893 100% => OK
Unique words: 108.0 106.607317073 101% => OK
Unique words percentage: 0.48 0.547539520022 88% => More unique words wanted or less content wanted.
syllable_count: 335.7 283.868780488 118% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 1.0 4.33902439024 23% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 47.8472363328 43.030603864 111% => OK
Chars per sentence: 122.555555556 112.824112599 109% => OK
Words per sentence: 25.0 22.9334400587 109% => OK
Discourse Markers: 3.0 5.23603664747 57% => More transition words/phrases wanted.
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
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: 0.521782816307 0.215688989381 242% => OK
Sentence topic coherence: 0.255539238 0.103423049105 247% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.191786970796 0.0843802449381 227% => The coherence between sentences is low.
Paragraph topic coherence: 0.337373115522 0.15604864568 216% => OK
Paragraph topic coherence SD: 0.202708527979 0.0819641961636 247% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 14.1 13.2329268293 107% => OK
flesch_reading_ease: 54.56 61.2550243902 89% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 11.44 11.4140731707 100% => OK
dale_chall_readability_score: 7.75 8.06136585366 96% => OK
difficult_words: 41.0 40.7170731707 101% => OK
linsear_write_formula: 18.0 11.4329268293 157% => OK
gunning_fog: 12.0 10.9970731707 109% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
---------------------
Maximum four paragraphs wanted.
Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.