The bar chart provides information about the quantity of houses constructed yearly in Derby and Nottingham from 2000 to 2009. Overall, Derby experienced an upward trend, while Nottingham showed also an upward trend. Both countries’ the number of houses built had some fluctuations. Although, Derby initially had a lower number of houses built, it out raced Nottingham at the end of the period.
The number of houses built annually in Nottingham was exactly 50 in 2000, being higher than Derby’ number by approximately 2 number. Then, it rose to almost 52 in 2001. However, the figure showed a significant decrease to about 22 in 2002. Next, the illustration demonstrated a steady growth during the next 3 years. It rose exactly 50 in 2003, then increased by around 55 in 2004, and rose approximately 80 in 2005. In 2007, it was a dramatic slump in the number of houses built, namely around 5. After that, we can observe considerable increase to about 195. Thereafter, there was a rapid fall nearly 12, and hitting a high-point of about 250 in 2009.
We can see that the Derby’s quantity of houses built in 2000 was just about 50. However, the illustration gave a gradual increase to about 55 in 2001, and continued to rise steadily till 2003, reaching around 90 in 2002, nearly 120 in 2003 and remained steady for the next 4 years. We can see a considerable growth during the next 2 years, reaching around 280 in 2008 and hitting a high-point just below 350 in 2009, out racing the rate of Nottingham.
- The diagram below shows the production and processing of milk and dairy products for commercial sale Summarise the information by selecting and reporting the main features and make comparisons where relevant 61
- The bar chart below shows the number of houses built per year in two cities Derby and Nottingham Between 2000 and 2009 73
- The chart below shows the amount of leisure time enjoyed by men and women of different employment status Write a report for a university lecturer describing the information shown below 87
- The developments in Happy valley shopping center from 1982 to 2012 is represent by maps 77
- The table below shows information and predictions regarding the change in percentage of the population aged 65 and above in three countries 73
Transition Words or Phrases used:
also, however, if, so, then, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 9.0 5.60731707317 161% => Less pronouns wanted
Preposition: 53.0 33.7804878049 157% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 1250.0 965.302439024 129% => OK
No of words: 262.0 196.424390244 133% => OK
Chars per words: 4.77099236641 4.92477711251 97% => OK
Fourth root words length: 4.02323427807 3.73543355544 108% => OK
Word Length SD: 2.77211719857 2.65546596893 104% => OK
Unique words: 138.0 106.607317073 129% => OK
Unique words percentage: 0.526717557252 0.547539520022 96% => OK
syllable_count: 347.4 283.868780488 122% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 7.0 1.53170731707 457% => Less pronouns wanted as sentence beginning.
Article: 5.0 4.33902439024 115% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 15.0 8.94146341463 168% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 41.6650133005 43.030603864 97% => OK
Chars per sentence: 83.3333333333 112.824112599 74% => OK
Words per sentence: 17.4666666667 22.9334400587 76% => OK
Discourse Markers: 2.26666666667 5.23603664747 43% => More transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 9.0 3.70975609756 243% => Less positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.311954406673 0.215688989381 145% => OK
Sentence topic coherence: 0.106510069825 0.103423049105 103% => OK
Sentence topic coherence SD: 0.110898693583 0.0843802449381 131% => OK
Paragraph topic coherence: 0.226056395297 0.15604864568 145% => OK
Paragraph topic coherence SD: 0.11601931681 0.0819641961636 142% => OK
Essay readability:
automated_readability_index: 9.8 13.2329268293 74% => Automated_readability_index is low.
flesch_reading_ease: 79.6 61.2550243902 130% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 6.4 10.3012195122 62% => OK
coleman_liau_index: 10.09 11.4140731707 88% => OK
dale_chall_readability_score: 7.43 8.06136585366 92% => OK
difficult_words: 49.0 40.7170731707 120% => OK
linsear_write_formula: 7.0 11.4329268293 61% => OK
gunning_fog: 8.8 10.9970731707 80% => OK
text_standard: 7.0 11.0658536585 63% => The average readability is low. Need to imporve the language.
What are above readability scores?
---------------------
Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
---------------------
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.