The given table shows the result of survey of average number of cars per hour during three suburban roads during working hours in 10 years for pollution monitoring programme. Traffic Calming was introduced in Harpar Lane at beginning of 1999.
The given tabular description gives the data of use of three suburban roads during 10 years population monitoring programme by cars. the data is clearly and coherently represented.
Overall, the number of cars increased on each lane, except for Harpar Lane. In Harpar Lane due to Traffic calming the ratio was decreased.
It can clearly observed that, at starting of 1993 the count was smallest; 82, 600 and 400 on Harpar Lane, Great york way and Long Lane respectively. This ratio then shooted up to about 11 times in Harper Lane by 1998, while the smaller margin was observed in Greater York way and Long Lane by end of 1998.
Further, the count started to decline from 915 to 193 cars per hour because of introduction of traffic Calming, while the ratio went 900 at end of 2002 in Greater york way. The number of cars per hour was about 3 times more at end of survey, 1400, on long lane road.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2018-10-14 | suman_preetkaur | 84 | view |
- The diagram shows the stages and equipment used in cement making process and how cement is used to produce concrete for building purposes. 61
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- The table below shows the sales at a small restaurant in a down town business district. Summarize the information by selecting and reporting the main features and make comparisons where relevant. 11
- what problems will your country face in next 10 years how can these problems be overcome 72
- The table below shows the sales at small restaurant in Downtown business district. summarise the information by selecting and reporting the main features and make comparisons where relevant. 100
Grammar and spelling errors:
Line 1, column 134, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: The
...opulation monitoring programme by cars. the data is clearly and coherently represen...
^^^
Line 5, column 16, Rule ID: DID_BASEFORM[1]
Message: The verb 'can' requires the base form of the verb: 'observe'
Suggestion: observe
... ratio was decreased. It can clearly observed that, at starting of 1993 the count was...
^^^^^^^^
Transition Words or Phrases used:
then, while, except for
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 743.0 965.302439024 77% => OK
No of words: 162.0 196.424390244 82% => More content wanted.
Chars per words: 4.58641975309 4.92477711251 93% => OK
Fourth root words length: 3.56762134501 3.73543355544 96% => OK
Word Length SD: 2.36548654542 2.65546596893 89% => OK
Unique words: 96.0 106.607317073 90% => More unique words wanted.
Unique words percentage: 0.592592592593 0.547539520022 108% => OK
syllable_count: 212.4 283.868780488 75% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 44.2604154409 43.030603864 103% => OK
Chars per sentence: 92.875 112.824112599 82% => OK
Words per sentence: 20.25 22.9334400587 88% => OK
Discourse Markers: 2.875 5.23603664747 55% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.327798729059 0.215688989381 152% => OK
Sentence topic coherence: 0.144733482674 0.103423049105 140% => OK
Sentence topic coherence SD: 0.0893835338117 0.0843802449381 106% => OK
Paragraph topic coherence: 0.192066239989 0.15604864568 123% => OK
Paragraph topic coherence SD: 0.0609902155145 0.0819641961636 74% => OK
Essay readability:
automated_readability_index: 10.3 13.2329268293 78% => Automated_readability_index is low.
flesch_reading_ease: 76.56 61.2550243902 125% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.6 10.3012195122 74% => OK
coleman_liau_index: 9.34 11.4140731707 82% => OK
dale_chall_readability_score: 8.04 8.06136585366 100% => OK
difficult_words: 35.0 40.7170731707 86% => OK
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 8.0 11.0658536585 72% => OK
What are above readability scores?
---------------------
Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.