The line graph below shows the monthly ridership of four separate transportation forms in a European metropolitan area between 1980 and 2030.
Summarise the information by selecting and reporting the main features making comparisons where relevant.
Write at least 150 words.
the give line graph illustrates the ridership of four types of transportation forms’ changes each month in a Europe metropolitan area after 1980 and predicts these patterns up to 2030.
Overall, there was 3 top means of transportations which are used by passengers at the beginning of the period, those are subway, tram and bus .Bike share, on the other hand,appeared many years later . Obviously, the figure for bus witnessed a considerable stability with expectation for a slight drop.
Looking at the chart for more details, Subway is the main means of conveyances in this area , it accounted for the highest number at 2,5 million of commuters in 1980. While the the bus and tram used by about 1.5 million and 0.5 million people respectively . In 20 years later , the number of passengers travelled by subway as well as tram experienced a slow rise . However, the opposite was true for bus. the number of Commuters catching a bus slightly fell down throughout the fisrt 2 decades . Another considerable thing in the year 2020 is that people started to cycling to work although this number was very small , less than 0.5 million people.
According to the current prediction, subway will still be the dominant means of transport used by british passengers in this metropolitan area . it is likely to continue increasing even more stronger than now or in the past. Moreover passengers are expected to prefer using tram and tend to put this transportation form in use more and more until 2030. There are also a climb in the number of commuters traveling by bike but it is insignificant. In contrast, estimations reveal that bus will lose its popularity among of all the upward trend .
Unlike those two countries, the production of co2 emissions in Greece had a remarkable growth to touch the highest point at around 6 metric tons in 2015. Likewise, Spain kept releasing the gas until its co2 emissions increased to nearly 8 at the end of the period.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-03-02 | Giang Tran | 73 | view |
| 2023-02-19 | Giang Tran | 90 | view |
| 2023-02-19 | Giang Tran | 84 | view |
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Grammar and spelling errors:
Line 1, column 1, Rule ID: UPPERCASE_SENTENCE_START
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Suggestion: The
the give line graph illustrates the ridersh...
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Line 3, column 142, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...e period, those are subway, tram and bus .Bike share, on the other hand,appeared m...
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Line 3, column 144, Rule ID: SENTENCE_WHITESPACE
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Suggestion: Bike
...period, those are subway, tram and bus .Bike share, on the other hand,appeared many ...
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Line 3, column 173, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , appeared
...m and bus .Bike share, on the other hand,appeared many years later . Obviously, the figur...
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Line 3, column 199, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...the other hand,appeared many years later . Obviously, the figure for bus witnessed...
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Line 5, column 92, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: ,
...e main means of conveyances in this area , it accounted for the highest number at ...
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Line 5, column 174, Rule ID: ENGLISH_WORD_REPEAT_RULE
Message: Possible typo: you repeated a word
Suggestion: the
...2,5 million of commuters in 1980. While the the bus and tram used by about 1.5 million ...
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Line 5, column 174, Rule ID: DT_DT[1]
Message: Maybe you need to remove one determiner so that only 'the' or 'the' is left.
Suggestion: the; the
...2,5 million of commuters in 1980. While the the bus and tram used by about 1.5 million ...
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Line 5, column 256, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...lion and 0.5 million people respectively . In 20 years later , the number of passe...
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Line 5, column 276, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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... people respectively . In 20 years later , the number of passengers travelled by s...
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Line 5, column 363, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
... as well as tram experienced a slow rise . However, the opposite was true for bus....
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Line 5, column 406, Rule ID: UPPERCASE_SENTENCE_START
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Suggestion: The
...However, the opposite was true for bus. the number of Commuters catching a bus slig...
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Line 5, column 494, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...fell down throughout the fisrt 2 decades . Another considerable thing in the year ...
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Line 5, column 618, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...work although this number was very small , less than 0.5 million people. Accord...
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Line 7, column 143, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ish passengers in this metropolitan area . it is likely to continue increasing ev...
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Suggestion: It
... passengers in this metropolitan area . it is likely to continue increasing even ...
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Line 7, column 151, Rule ID: WHITESPACE_RULE
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...engers in this metropolitan area . it is likely to continue increasing even more ...
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Line 7, column 188, Rule ID: MOST_COMPARATIVE[2]
Message: Use only 'stronger' (without 'more') when you use the comparative.
Suggestion: stronger
... is likely to continue increasing even more stronger than now or in the past. Moreover passe...
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Line 7, column 227, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
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Suggestion: Moreover,
... more stronger than now or in the past. Moreover passengers are expected to prefer usin...
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Line 7, column 250, Rule ID: WHITESPACE_RULE
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Suggestion:
... or in the past. Moreover passengers are expected to prefer using tram and tend t...
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Line 7, column 485, Rule ID: WHITESPACE_RULE
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Suggestion:
...nt. In contrast, estimations reveal that bus will lose its popularity among of al...
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Line 7, column 545, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...popularity among of all the upward trend . Unlike those two countries, the ...
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Transition Words or Phrases used:
also, but, however, if, likewise, look, moreover, so, still, well, while, in contrast, as well as, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 7.0 171% => OK
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 14.0 5.60731707317 250% => Less pronouns wanted
Preposition: 57.0 33.7804878049 169% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 1634.0 965.302439024 169% => OK
No of words: 331.0 196.424390244 169% => Less content wanted.
Chars per words: 4.93655589124 4.92477711251 100% => OK
Fourth root words length: 4.26537283232 3.73543355544 114% => OK
Word Length SD: 2.86926198871 2.65546596893 108% => OK
Unique words: 192.0 106.607317073 180% => OK
Unique words percentage: 0.580060422961 0.547539520022 106% => OK
syllable_count: 482.4 283.868780488 170% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 16.0 8.94146341463 179% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 41.5338246945 43.030603864 97% => OK
Chars per sentence: 102.125 112.824112599 91% => OK
Words per sentence: 20.6875 22.9334400587 90% => OK
Discourse Markers: 7.25 5.23603664747 138% => OK
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
Language errors: 22.0 1.69756097561 1296% => Less language errors wanted.
Sentences with positive sentiment : 11.0 3.70975609756 297% => Less positive sentences wanted.
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: 0.132617031678 0.215688989381 61% => OK
Sentence topic coherence: 0.0396001741274 0.103423049105 38% => OK
Sentence topic coherence SD: 0.0722095943976 0.0843802449381 86% => OK
Paragraph topic coherence: 0.0929384796401 0.15604864568 60% => OK
Paragraph topic coherence SD: 0.0984636566574 0.0819641961636 120% => OK
Essay readability:
automated_readability_index: 12.2 13.2329268293 92% => Automated_readability_index is low.
flesch_reading_ease: 59.64 61.2550243902 97% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 11.37 11.4140731707 100% => OK
dale_chall_readability_score: 8.21 8.06136585366 102% => OK
difficult_words: 75.0 40.7170731707 184% => OK
linsear_write_formula: 14.5 11.4329268293 127% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 10.0 11.0658536585 90% => OK
What are above readability scores?
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Maximum four paragraphs wanted.
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.