The line graph below shows the monthly ridership of four separate transportation forms in a European metropolitan area between 1980 and 2030.
The information below illustrate that rides on monthly basis which are based in busy area of Europe between given 30 years.
Looking at the picture it shows that how many people around the Europe has travel through four different transportation, which includes such as subway, Trams, buses and bike shear in the given year.
From the very beginning form the period subway, which is the most used method of traveling which was 2.5 million and was rising constantly with time to time and will rise to 4.5 million at the end of given time.The second most used is Trams which was almost zero in 1980 but in next 15 years it takes over buses and will reach 2 million by the end of the shown time.
On the other hand a dramatic drop can be seen in uses of buses, which was more than one million at the start of given period and remains same till next 40 years but future it shows a significant drop in use of buses more to add bike shear which was introduced in start of 2000 has rise slowly which was almost 0.4 in 2020 but it prediction shows it will level bus by the end of 2029.
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 |
2022-03-17 | samandarkumar | 73 | view |
- The graph below shows the portion of four different materials that were recycled form 1982 to 2010 in particular country 73
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- many believe that fast food industry are causing bad effects on people health changing their eating habits and negative effect on environment Do you agree pr disagree with statement 73
- n many countries children are becoming overweight and unhealthy Some people think that government should have the responsibility To what extend do you agree or disagree 89
- Some people believe that after 100 year life will be easier for most of people while other are unsure What is ur opinion 73
Grammar and spelling errors:
Line 3, column 212, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...to 4.5 million at the end of given time.The second most used is Trams which was alm...
^^^
Line 4, column 282, Rule ID: HAVE_PART_AGREEMENT[1]
Message: Use past participle here: 'risen'.
Suggestion: risen
...ich was introduced in start of 2000 has rise slowly which was almost 0.4 in 2020 but...
^^^^
Transition Words or Phrases used:
but, if, look, second, such as, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 4.0 1.00243902439 399% => Less auxiliary verb wanted.
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 10.0 3.15609756098 317% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 876.0 965.302439024 91% => OK
No of words: 204.0 196.424390244 104% => OK
Chars per words: 4.29411764706 4.92477711251 87% => OK
Fourth root words length: 3.77926670891 3.73543355544 101% => OK
Word Length SD: 2.11171554916 2.65546596893 80% => OK
Unique words: 116.0 106.607317073 109% => OK
Unique words percentage: 0.56862745098 0.547539520022 104% => OK
syllable_count: 261.0 283.868780488 92% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 4.0 8.94146341463 45% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 51.0 22.4926829268 227% => The Avg. Sentence Length is relatively long.
Sentence length SD: 110.400407608 43.030603864 257% => The lengths of sentences changed so frequently.
Chars per sentence: 219.0 112.824112599 194% => OK
Words per sentence: 51.0 22.9334400587 222% => Less words per sentence wanted.
Discourse Markers: 12.25 5.23603664747 234% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0799061039131 0.215688989381 37% => OK
Sentence topic coherence: 0.0655598638324 0.103423049105 63% => OK
Sentence topic coherence SD: 0.0497574877743 0.0843802449381 59% => OK
Paragraph topic coherence: 0.0655598638324 0.15604864568 42% => OK
Paragraph topic coherence SD: 0.0497574877743 0.0819641961636 61% => OK
Essay readability:
automated_readability_index: 24.3 13.2329268293 184% => OK
flesch_reading_ease: 45.09 61.2550243902 74% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 19.6 10.3012195122 190% => OK
coleman_liau_index: 8.49 11.4140731707 74% => OK
dale_chall_readability_score: 8.41 8.06136585366 104% => OK
difficult_words: 29.0 40.7170731707 71% => More difficult words wanted.
linsear_write_formula: 17.5 11.4329268293 153% => OK
gunning_fog: 22.4 10.9970731707 204% => Gunning_fog is high.
text_standard: 9.0 11.0658536585 81% => 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.