The diagram below shows the number of houses built per year in two cities, Derby and Nottingham, Between 2000 and 2009.
The diagram represents the number of houses built in two areas (Derby and Nottingham) from 2000 to 2009.
Overall, the number of houses built in Derby increased remarkably despite the periodic stablisation. Meanwhile, Nottingham experienced some periodic fluctuations but mostly showed upward trends.
In terms of Derby, only about 48 houses were built in 2000 which increased systematically to reach above 100 houses by 2003 and remained at that point for 4 years before it skyrocketed to above 270 houses in 2008 and nearly 350 houses in 2009.
In contrast to the houses building in Nottingham, was much more erratic. In the first two years of the period, more houses were constructed in Nottingham than in Derby. In 2002, however, the number of construction declined to only close to 20 houses and over three years, the houses number rose steadily to record at about 75 houses by 2005 before it dropped to almost 0 housing constructions in 2006. There was another dramatic surge between 2007 and 2008 where almost 200 houses built in 2007 plummeted to only 10 by 2009, the number of new houses rocketed to 250 in the next year.
- The pie chart below shows the methods of booked for English courses by international students in three different countries in 2009 and in 2010. 64
- As well as making money businesses also have social responsibilities To what extent do you agree or disagree 73
- The charts below show the main reasons for study among students of different age groups and the amount of support they receive from employers. 67
- Levels of youth crime are increasing rapidly in most cities around the world. What are the reasons for this, and suggest some solutions. 56
- The chart below shows the percentage of children aged 0 to 5 and adults aged 60 and over, selected Census years. 78
Grammar and spelling errors:
Line 4, column 74, 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.
...g in Nottingham, was much more erratic. In the first two years of the period, more...
^^
Line 4, column 170, 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.
...onstructed in Nottingham than in Derby. In 2002, however, the number of constructi...
^^
Discourse Markers used:
['but', 'first', 'however', 'so', 'while', 'in contrast', 'in contrast to']
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance in Part of Speech:
Nouns: 0.210526315789 0.268076937826 79% => OK
Verbs: 0.11961722488 0.116061578633 103% => OK
Adjectives: 0.0430622009569 0.0759168565197 57% => OK
Adverbs: 0.0717703349282 0.0366838410393 196% => Less adverbs wanted.
Pronouns: 0.00956937799043 0.0131127313244 73% => OK
Prepositions: 0.172248803828 0.155750635184 111% => OK
Participles: 0.0239234449761 0.0379272487307 63% => OK
Conjunctions: 2.66192204864 2.65546596893 100% => OK
Infinitives: 0.0478468899522 0.0210936926555 227% => Less infinitives wanted.
Particles: 0.0 0.00175180941692 0% => OK
Determiners: 0.066985645933 0.0948980150116 71% => OK
Modal_auxiliary: 0.0 0.00437022459523 0% => OK
WH_determiners: 0.00956937799043 0.00967000014798 99% => OK
Vocabulary words and sentences:
No of characters: 1132.0 1161.00487805 98% => OK
No of words: 192.0 196.9 98% => OK
Chars per words: 5.89583333333 5.90752243213 100% => OK
Fourth root words length: 3.72241943641 3.73763899035 100% => OK
words length more than 5 chars: 0.354166666667 0.337110787985 105% => OK
words length more than 6 chars: 0.197916666667 0.247514529752 80% => OK
words length more than 7 chars: 0.15625 0.171178102325 91% => OK
words length more than 8 chars: 0.09375 0.112407865282 83% => OK
Word Length SD: 2.66192204864 2.65546596893 100% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.557291666667 0.546246751206 102% => OK
Word variations: 49.8595195246 49.3433353143 101% => OK
How many sentences: 8.0 8.93414634146 90% => OK
Sentence length: 24.0 23.0094962315 104% => OK
Sentence length SD: 64.1393746072 42.9750493124 149% => OK
Chars per sentence: 141.5 135.714022679 104% => OK
Words per sentence: 24.0 23.0094962315 104% => OK
Discourse Markers: 0.875 0.689975730869 127% => OK
Paragraphs: 4.0 3.84146341463 104% => OK
Language errors: 2.0 1.48048780488 135% => OK
Readability: 43.7916666667 47.7609492067 92% => OK
Elegance: 2.02380952381 2.94281807926 69% => OK
Coherence and Cohesion:
Essay topic to essay body coherence: 0.508598190833 0.418131533498 122% => OK
Sentence sentence coherence: 0.199392346739 0.181151798455 110% => OK
Sentence sentence coherence SD: 0.117397688426 0.0850326197045 138% => OK
Sentence paragraph coherence: 0.75164764418 0.706616315825 106% => OK
Sentence paragraph coherence SD: 0.160069976343 0.157042692854 102% => OK
Sentence topic coherence: 0.29484177343 0.228904883108 129% => OK
Sentence topic coherence SD: 0.157708946315 0.108899403657 145% => OK
Paragraph paragraph coherence: 0.315463498105 0.367819155151 86% => OK
Paragraph paragraph coherence SD: 0.134452974269 0.0812612215331 165% => OK
Paragraph topic coherence: 0.389735992073 0.316326947829 123% => OK
Paragraph topic coherence SD: 0.148883183203 0.0921553760075 162% => OK
Task Achievement:
Sentences with positive sentiment : 5.0 3.70731707317 135% => OK
Sentences with negative sentiment : 0.0 1.14146341463 0% => OK
Sentences with neutral sentiment: 3.0 4.08536585366 73% => OK
Positive topic words: 5.0 3.16585365854 158% => OK
Negative topic words: 0.0 0.956097560976 0% => OK
Neutral topic words: 3.0 3.02926829268 99% => OK
Total topic words: 8.0 7.1512195122 112% => OK
What are sentences with positive/Negative/neutral sentiment?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.