The table below shows changes in the numbers of residents cycling to work in different areas of the UK between 2001 and 2011.
The given table illustrates how the numbers of working cyclists changed in different places in the UK after 10 years, 2001 and 2011.
Overall, in 2001 and 2011, the numbers of cyclists in Inner London was the highest while this figure in Gateshead was the lowest. However, the percentage change of working cyclists in Inner London was biggest compared to the other areas, and the smallest one was Outer London.
Look at more details we can see that, in 2001, residents cycling to work in Inner London made up the highest number 43,494, after 10 years, in 2011, this figure increased to 106,219. Followed by Outer London, there was a significant increase in the number of working cyclists, from 33,836 to 49,070, rose by 15,234. By contrast, Gateshead had the smallest numbers of residents cycling to work in both 2001 and 2011, at 816 and 1,314 respectively.
It is clear that the percentage change of Inner London took up the highest, at 144%. Additionally, the percentage changing in Brighton and Hover was the second which accounted for 109%. On the contrary, the proportion change of working cyclists in Outer London was the lowest, only 45% compared to the other areas
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-08-24 | levanhoan123 | 73 | view |
| 2022-08-23 | levanhoan123 | 78 | view |
| 2021-11-11 | kindlebalada | 100 | view |
| 2021-02-13 | Isha Mehra | 78 | view |
| 2020-12-01 | sanjana rani | 73 | view |
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- Some believe that money for education should mainly be spent on better computers while others believe it would be better spent on teachers Discuss both views and give your own opinion 89
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Grammar and spelling errors:
Line 4, column 181, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...he percentage change of working cyclists in Inner London was biggest compared to ...
^^
Transition Words or Phrases used:
however, if, look, second, while, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 38.0 33.7804878049 112% => 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: 987.0 965.302439024 102% => OK
No of words: 200.0 196.424390244 102% => OK
Chars per words: 4.935 4.92477711251 100% => OK
Fourth root words length: 3.76060309309 3.73543355544 101% => OK
Word Length SD: 2.51673896143 2.65546596893 95% => OK
Unique words: 103.0 106.607317073 97% => OK
Unique words percentage: 0.515 0.547539520022 94% => More unique words wanted or less content wanted.
syllable_count: 270.9 283.868780488 95% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 9.0 3.36585365854 267% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 25.866227564 43.030603864 60% => OK
Chars per sentence: 109.666666667 112.824112599 97% => OK
Words per sentence: 22.2222222222 22.9334400587 97% => OK
Discourse Markers: 5.44444444444 5.23603664747 104% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.302901900857 0.215688989381 140% => OK
Sentence topic coherence: 0.140117044186 0.103423049105 135% => OK
Sentence topic coherence SD: 0.105166528011 0.0843802449381 125% => OK
Paragraph topic coherence: 0.20935363292 0.15604864568 134% => OK
Paragraph topic coherence SD: 0.109587248022 0.0819641961636 134% => OK
Essay readability:
automated_readability_index: 12.9 13.2329268293 97% => OK
flesch_reading_ease: 66.07 61.2550243902 108% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 11.61 11.4140731707 102% => OK
dale_chall_readability_score: 7.96 8.06136585366 99% => OK
difficult_words: 41.0 40.7170731707 101% => OK
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.