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 bar chart illustrates the percentage change in average house price in five different cities which are located in five different countries from 1990 to 2002 compared with average house price in 1989.
Overall, information is divided into two periods. In the first period the houses price decreased in most of the cities whereas in the next period only Tokyo (Japan) houses prices was remains decreased.
According to the bar chart, during the period from 1990 to 1995 the percentage of average houses prices decreased in three cities. The average houses price in New York (USA) was 5 percent and about 7.5% in both Tokyo (Japan) and London (UK). While the average houses price slightly increased in two cites Madrid (Spain) and Frankfurt (Germany) was nearly 1.5 and 2 percent respectively.
On the other hand, the next period from 1996 to 2002 the average house price decreased only in Tokyo (Japan) was 5 percent. In contrast, the average houses price increases in the rest of cities. In New York houses price increased to 5 percent, in Madrid (Spain) was slightly increased was about 4% and in Frankfurt (Germany) was nearly 2% respectively. In London (UK) the house price increased dramatically over the six years period which was above 10 percent from 1996 to 2002 and it was the highest pieces among all cities.
- The graph below shows the number of enquiries received by the Tourist Information Office in one city over a six-month period in 2011. 67
- The graph below shows the quantities of goods transported in the UK between 1974 and 2002 by four different modes of transport. 61
- The graph below shows the number of enquiries received by the Tourist Information Office in one city over a six month period in 2011 72
- The graph below shows the quantities of goods transported in the UK between 1974 and 2002 by four different modes of transport. 67
- The first chart below shows how energy is used in an average Australian household. The second chart shows the green house gas emissions which result from this energy use. 67
Grammar and spelling errors:
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ared with average house price in 1989. Overall, information is divided into two...
^^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...n houses prices was remains decreased. According to the bar chart, during the p...
^^^
Line 7, column 348, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...urt Germany was nearly 2% respectively. In London UK the house price increased dra...
^^
Transition Words or Phrases used:
first, if, whereas, while, in contrast, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 7.0 157% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 40.0 33.7804878049 118% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1089.0 965.302439024 113% => OK
No of words: 223.0 196.424390244 114% => OK
Chars per words: 4.88340807175 4.92477711251 99% => OK
Fourth root words length: 3.86434787811 3.73543355544 103% => OK
Word Length SD: 2.42078547097 2.65546596893 91% => OK
Unique words: 98.0 106.607317073 92% => More unique words wanted.
Unique words percentage: 0.439461883408 0.547539520022 80% => More unique words wanted or less content wanted.
syllable_count: 327.6 283.868780488 115% => 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: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 8.0 3.36585365854 238% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 43.2175890119 43.030603864 100% => OK
Chars per sentence: 108.9 112.824112599 97% => OK
Words per sentence: 22.3 22.9334400587 97% => OK
Discourse Markers: 5.7 5.23603664747 109% => OK
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: 0.462784713753 0.215688989381 215% => OK
Sentence topic coherence: 0.227577426404 0.103423049105 220% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.159675644153 0.0843802449381 189% => OK
Paragraph topic coherence: 0.35849263653 0.15604864568 230% => OK
Paragraph topic coherence SD: 0.17835005879 0.0819641961636 218% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 12.7 13.2329268293 96% => OK
flesch_reading_ease: 57.61 61.2550243902 94% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 11.32 11.4140731707 99% => OK
dale_chall_readability_score: 7.56 8.06136585366 94% => OK
difficult_words: 40.0 40.7170731707 98% => OK
linsear_write_formula: 10.5 11.4329268293 92% => 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: 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.