The table below shows how many people (in millions) used different forms of
public transport in Milan from 2010 to 2014.
The graph gives information about the number of passengers using public transport, divided into five categories in Milan during a five-year period since 2010.
The most significant facts to emerge from the graph are that the metro accounted for the majority of passenger. Moreover, all types of transport experienced an upward trend of traveler during the time frame.
In 2010, passenger who transported to Milan by using Metro stood at just over 30.000 million, a much higher than other categories. It is, then, followed by train and trams, which was almost equal in the passenger noted at 1,4 million and 1,5 million. The remains were buses ( at 1,0 million) and taxes ( at 0,6 million).
Four years later, Metro showed a significant rise in the passengers from 3,0 to 5,0 million, where the figure still dominated highest. Likewise, train and buses saw an additional traveler each year to 3,6 and 2,4 million respectively. However, whereas trams and taxis grew to above 0,9 million passengers at the end of the period, the figure was in the lowest compared to other transport.
- The line graph below shows thefts per thousand cars in four countriesbetween 1990 and 1999. 84
- The bar chart below shows different methods of waste disposal in four cities Toronto Madrid Kuala Lumpur and Amman 66
- The table below shows the proportions of pupils attending four secondaryschool types between 2000 and 2009. 84
- The graphs show changes in spending habits of people in the UK between 1971 and 2001 78
- The graphs show changes in spending habits of people in the UK between 1971 and 2001. 84
Grammar and spelling errors:
Line 3, column 273, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... and 1,5 million. The remains were buses at 1,0 million and taxes at 0,6 million...
^^
Line 3, column 299, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ins were buses at 1,0 million and taxes at 0,6 million. Four years later, Metro...
^^
Transition Words or Phrases used:
however, if, likewise, moreover, still, then, whereas
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 2.0 5.60731707317 36% => OK
Preposition: 32.0 33.7804878049 95% => 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: 898.0 965.302439024 93% => OK
No of words: 179.0 196.424390244 91% => More content wanted.
Chars per words: 5.01675977654 4.92477711251 102% => OK
Fourth root words length: 3.65774358864 3.73543355544 98% => OK
Word Length SD: 2.60097716991 2.65546596893 98% => OK
Unique words: 117.0 106.607317073 110% => OK
Unique words percentage: 0.653631284916 0.547539520022 119% => OK
syllable_count: 264.6 283.868780488 93% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 19.0 22.4926829268 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 27.8359391107 43.030603864 65% => OK
Chars per sentence: 99.7777777778 112.824112599 88% => OK
Words per sentence: 19.8888888889 22.9334400587 87% => OK
Discourse Markers: 5.88888888889 5.23603664747 112% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.197451709486 0.215688989381 92% => OK
Sentence topic coherence: 0.0812080529338 0.103423049105 79% => OK
Sentence topic coherence SD: 0.0418965294214 0.0843802449381 50% => Sentences are similar to each other.
Paragraph topic coherence: 0.112827922724 0.15604864568 72% => OK
Paragraph topic coherence SD: 0.036976229005 0.0819641961636 45% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 12.2 13.2329268293 92% => Automated_readability_index is low.
flesch_reading_ease: 60.65 61.2550243902 99% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 11.84 11.4140731707 104% => OK
dale_chall_readability_score: 8.64 8.06136585366 107% => OK
difficult_words: 46.0 40.7170731707 113% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
---------------------
Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.