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.
The given chart illustrates the changing in the prices of homes in five cities between 1990 and 2002 and make comparison with the prices in 1989.
Overall, the average prices in New York city rose between 1990-1995 and 1996-2002. While the average prices for houses in Frankfurt declined slightly.
For 1990-1995 period, the average prices for New York compared with 1989 prices was -5%. Whilst, the average prices for Madrid rose to about 3%. For Japan city, the average prices decreased dramatically to around -7%. The same level of average prices for London was noticed (-7%).
For 1996-1996-2002, New York city witnessed an increase to about 5%, which was doubled the prices in 1990-1995. Moreover, the average prices in London city witnessed a sharply increase to about 12%, which was also approximately doubled the average prices in 1990-1995 period.
To sum up, the average prices witnessed a big change between 1990-1995 and 1996-2202 compared with average prices in 1989.
- The pie chart below shows the main reason why agricultural land becomes less productive. The table shows how there causes affected three regions of the world during the 1990s. 56
- the two maps below show an island, before and after the construction of some tourist facilities 78
- The two maps below show an island, before and after the construction of some tourists facilities.Summarize the information by selecting and reporting the main features, and make comparisons where relevant. 56
- 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 61
- The chart below shows the value of one country’s exports in various categories during 2015 and 2016. The table shows the percentage change in each category of exports in 2016 compared with 2015. 73
Grammar and spelling errors:
Line 4, column 166, Rule ID: A_RB_NN[1]
Message: You used an adverb ('sharply') instead an adjective, or a noun ('increase') instead of another adjective.
...average prices in London city witnessed a sharply increase to about 12%, which was also approximat...
^^^^^^^^^^^^^^^^^^
Line 4, column 239, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...which was also approximately doubled the average prices in 1990-1995 period. To ...
^^
Transition Words or Phrases used:
also, moreover, so, while, to sum up
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: 0.0 1.00243902439 0% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 27.0 33.7804878049 80% => 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: 826.0 965.302439024 86% => OK
No of words: 159.0 196.424390244 81% => More content wanted.
Chars per words: 5.19496855346 4.92477711251 105% => OK
Fourth root words length: 3.55098862472 3.73543355544 95% => OK
Word Length SD: 2.54793838859 2.65546596893 96% => OK
Unique words: 73.0 106.607317073 68% => More unique words wanted.
Unique words percentage: 0.459119496855 0.547539520022 84% => More unique words wanted or less content wanted.
syllable_count: 233.1 283.868780488 82% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 8.0 4.33902439024 184% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 15.0 22.4926829268 67% => The Avg. Sentence Length is relatively short.
Sentence length SD: 35.4632203839 43.030603864 82% => OK
Chars per sentence: 82.6 112.824112599 73% => OK
Words per sentence: 15.9 22.9334400587 69% => OK
Discourse Markers: 3.6 5.23603664747 69% => OK
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.523959809809 0.215688989381 243% => OK
Sentence topic coherence: 0.26789920039 0.103423049105 259% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.0939940039708 0.0843802449381 111% => OK
Paragraph topic coherence: 0.360902738687 0.15604864568 231% => OK
Paragraph topic coherence SD: 0.0654119919356 0.0819641961636 80% => OK
Essay readability:
automated_readability_index: 11.0 13.2329268293 83% => Automated_readability_index is low.
flesch_reading_ease: 64.71 61.2550243902 106% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.0 10.3012195122 78% => OK
coleman_liau_index: 12.53 11.4140731707 110% => OK
dale_chall_readability_score: 7.26 8.06136585366 90% => OK
difficult_words: 29.0 40.7170731707 71% => More difficult words wanted.
linsear_write_formula: 5.5 11.4329268293 48% => Linsear_write_formula is low.
gunning_fog: 8.0 10.9970731707 73% => OK
text_standard: 8.0 11.0658536585 72% => OK
What are above readability scores?
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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.