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.
Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
The below chart demonstrates the information about changes expenses on houses in five different cities between 1990 to 2002 based on end of 80’s. New York,Madrid,Tokyo,Frankfurt and London represent in bar chart.
Overall, Tokyo and London, were highest plummeted house prices in first 5 years of period compared to highest rate in Frankfurt.In next 7 Years, London had highest growth in house estate and Tokyo had still lowest cost on Houses.
In first period, Average house prices became same for Madrid and Frankfurt (1.5 % and 2% respectively).In Tokyo,House prices were lowest around 7% decrease. Scenario for London was same as Tokyo.However, Quiet little decrease price in new York compare to lowest cities.
Next 7 Years of period, In London, Prices of houses rocketed to 12% rates.German city had negligible changed compared with above 5 years.In Tokyo, Price of houses became higher but still lower than based year(-5% changed).New York had positive 5% increase in real estate which was 1% higher than Madrid.
- The gap between rich and poor is growing What problems does this create What can be done to tackle them 91
- Today more and more tourists are visiting places where conditions are difficult such as the Sahara Desert or the Antarctic What are the benefits and disadvantages for tourists who visit such places 84
- Some people think that parents should teach children how to be good members of society Others however believe that school is the place to learn this Discuss both views and give your opinion 78
- In many countries people are spending more time in their workplace Why is this Is this a negative or positive development 61
- In some countries people are now buying fewer new things and buying more second hand things instead In your opinion what are some possible reasons for this Is this a positive or negative trend 78
Grammar and spelling errors:
Line 1, column 161, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , Madrid
...2002 based on end of 80's. New York,Madrid,Tokyo,Frankfurt and London represent in...
^^^^^^^
Line 1, column 174, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , Frankfurt
... end of 80's. New York,Madrid,Tokyo,Frankfurt and London represent in bar chart. Ov...
^^^^^^^^^^
Line 2, column 101, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'to the highest'.
Suggestion: to the highest
...ces in first 5 years of period compared to highest rate in Frankfurt.In next 7 Years, Lond...
^^^^^^^^^^
Line 2, column 129, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: In
...d compared to highest rate in Frankfurt.In next 7 Years, London had highest growth...
^^
Line 2, column 153, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'had the highest'.
Suggestion: had the highest
...te in Frankfurt.In next 7 Years, London had highest growth in house estate and Tokyo had st...
^^^^^^^^^^^
Line 3, column 102, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: In
...and Frankfurt 1.5 % and 2% respectively.In Tokyo,House prices were lowest around 7...
^^
Line 3, column 102, 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.
...and Frankfurt 1.5 % and 2% respectively.In Tokyo,House prices were lowest around 7...
^^
Line 3, column 110, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , House
...kfurt 1.5 % and 2% respectively.In Tokyo,House prices were lowest around 7% decrease. ...
^^^^^^
Line 3, column 124, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'were the lowest'.
Suggestion: were the lowest
...d 2% respectively.In Tokyo,House prices were lowest around 7% decrease. Scenario for London...
^^^^^^^^^^^
Line 3, column 194, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: However
.... Scenario for London was same as Tokyo.However, Quiet little decrease price in new Yor...
^^^^^^^
Line 3, column 243, Rule ID: HE_VERB_AGR[8]
Message: The proper name in singular (York) must be used with a third-person verb: 'compares'.
Suggestion: compares
...Quiet little decrease price in new York compare to lowest cities. Next 7 Years of per...
^^^^^^^
Line 3, column 251, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'to the lowest'.
Suggestion: to the lowest
...ttle decrease price in new York compare to lowest cities. Next 7 Years of period, In Lo...
^^^^^^^^^
Line 4, column 75, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: German
... Prices of houses rocketed to 12% rates.German city had negligible changed compared wi...
^^^^^^
Line 4, column 138, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: In
...ble changed compared with above 5 years.In Tokyo, Price of houses became higher bu...
^^
Line 4, column 221, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: New
... still lower than based year-5% changed.New York had positive 5% increase in real e...
^^^
Discourse Markers used:
['but', 'first', 'however', 'if', 'still', 'as to']
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance in Part of Speech:
Nouns: 0.365979381443 0.268076937826 137% => OK
Verbs: 0.0979381443299 0.116061578633 84% => OK
Adjectives: 0.149484536082 0.0759168565197 197% => Less adjectives wanted.
Adverbs: 0.0154639175258 0.0366838410393 42% => Some adverbs wanted.
Pronouns: 0.0 0.0131127313244 0% => Some pronouns wanted.
Prepositions: 0.134020618557 0.155750635184 86% => OK
Participles: 0.0309278350515 0.0379272487307 82% => OK
Conjunctions: 3.17407447414 2.65546596893 120% => OK
Infinitives: 0.020618556701 0.0210936926555 98% => OK
Particles: 0.0 0.00175180941692 0% => OK
Determiners: 0.0103092783505 0.0948980150116 11% => Some determiners wanted.
Modal_auxiliary: 0.0 0.00437022459523 0% => OK
WH_determiners: 0.00515463917526 0.00967000014798 53% => OK
Vocabulary words and sentences:
No of characters: 1026.0 1161.00487805 88% => OK
No of words: 163.0 196.9 83% => More content wanted.
Chars per words: 6.29447852761 5.90752243213 107% => OK
Fourth root words length: 3.57311423478 3.73763899035 96% => OK
words length more than 5 chars: 0.429447852761 0.337110787985 127% => OK
words length more than 6 chars: 0.257668711656 0.247514529752 104% => OK
words length more than 7 chars: 0.159509202454 0.171178102325 93% => OK
words length more than 8 chars: 0.0981595092025 0.112407865282 87% => OK
Word Length SD: 3.17407447414 2.65546596893 120% => OK
Unique words: 103.0 106.607317073 97% => OK
Unique words percentage: 0.631901840491 0.546246751206 116% => OK
Word variations: 59.0355094201 49.3433353143 120% => OK
How many sentences: 5.0 8.93414634146 56% => OK
Sentence length: 32.6 23.0094962315 142% => OK
Sentence length SD: 65.7005327223 42.9750493124 153% => OK
Chars per sentence: 205.2 135.714022679 151% => OK
Words per sentence: 32.6 23.0094962315 142% => OK
Discourse Markers: 1.2 0.689975730869 174% => OK
Paragraphs: 4.0 3.84146341463 104% => OK
Language errors: 15.0 1.48048780488 1013% => OK
Readability: 58.3668711656 47.7609492067 122% => OK
Elegance: 4.68181818182 2.94281807926 159% => OK
Coherence and Cohesion:
Essay topic to essay body coherence: 0.356125539077 0.418131533498 85% => OK
Sentence sentence coherence: 0.246517668565 0.181151798455 136% => OK
Sentence sentence coherence SD: 0.102619680488 0.0850326197045 121% => OK
Sentence paragraph coherence: 0.885869970221 0.706616315825 125% => OK
Sentence paragraph coherence SD: 0.145149602694 0.157042692854 92% => OK
Sentence topic coherence: 0.216008504881 0.228904883108 94% => OK
Sentence topic coherence SD: 0.123505345636 0.108899403657 113% => OK
Paragraph paragraph coherence: 0.268674861247 0.367819155151 73% => OK
Paragraph paragraph coherence SD: 0.0767523189044 0.0812612215331 94% => OK
Paragraph topic coherence: 0.237047360735 0.316326947829 75% => OK
Paragraph topic coherence SD: 0.100235188953 0.0921553760075 109% => OK
Task Achievement:
Sentences with positive sentiment : 1.0 3.70731707317 27% => OK
Sentences with negative sentiment : 2.0 1.14146341463 175% => OK
Sentences with neutral sentiment: 2.0 4.08536585366 49% => OK
Positive topic words: 1.0 3.16585365854 32% => OK
Negative topic words: 2.0 0.956097560976 209% => OK
Neutral topic words: 2.0 3.02926829268 66% => OK
Total topic words: 5.0 7.1512195122 70% => OK
What are sentences with positive/Negative/neutral sentiment?
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Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 Out of 9
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Note: This is not the final score. 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.