The line chart above demonstrates the average number of people travelling long distances to work by car of public transports, bus and train in particular, in the UK from 1970 to 2030.
It is clear that there were and will be significant changes in the number of commuters choosing between car, bus and train in a sixty-year time.
In 1970, there were roughly 5.5 million people driving their cars to work, more that those went by train doubled. By then the number of people catching buses over long distance to work was around 4 million. Over the next 10 years, the number of commuters going by train, by car rose by around 0.25 million while that of buses remained the same. The following 20 years saw a significant increase in the figure of the car and train users, with 7.5 and 3 million people respectively. By contrast, the number of buses-taking commuters continued to decline steadily to approximately 4 million in 2000.
From 2000 to 2010, whereas car and train user statistics froze, the total of those commutes by bus kept on dropping to 3.5 million. In 20 years from 2010, bus and car commuter statistics will grow sharply until peak in 2030 with 9 million people driving and around 5.5 million taking the train. By then, the number of people travelling long distance to work by bus, on the other hand, will have dropped to just under 3 million people.
The line chart above demonstrates the average number of people travelling long distances to work by car of public transports, bus and train in particular, in the UK from 1970 to 2030.
It is clear that there were and will be significant changes in the number of commuters choosing between car, bus and train in a sixty-year time.
In 1970, there were roughly 5.5 million people driving their cars to work, more that those went by train doubled. By then the number of people catching buses over long distance to work was around 4 million. Over the next 10 years, the number of commuters going by train, by car rose by around 0.25 million while that of buses remained the same. The following 20 years saw a significant increase in the figure of the car and train users, with 7.5 and 3 million people respectively. By contrast, the number of buses-taking commuters continued to decline steadily to approximately 4 million in 2000.
From 2000 to 2010, whereas car and train user statistics froze, the total of those commutes by bus kept on dropping to 3.5 million. In 20 years from 2010, bus and car commuter statistics will grow sharply until peak in 2030 with 9 million people driving and around 5.5 million taking the train. By then, the number of people travelling long distance to work by bus, on the other hand, will have dropped to just under 3 million people.
- The pie charts above compare figures of the population age of Yemen and Italy in the year 2000 and estimations on those statistics in 2050.It is clear from the graphs that the people of the between 15 and 59 in the two countries account for a large propor 73
- Many people prefer to watch foreign films rather than locally produced films. Why could this be? Should governments give more financial support to local film industries? 56
- The first line graph shows the average monthly spending on children s sports by their parents from 2008 to 2014 while the second one presents the amount of children participating in football athletics and swimming in the UK at the same time It is clear fr 82
- More and more people are migrating to cities in search of a better life, but city life can be extremely difficult. Explain some of the difficulties of living in a city. How can governments make urban life better for everyone? 78
- It is clear that there’s extreme contrary in the variations of the two values over the first decade of the 21st century. While more and more money was spent on cell phone service, landline phone, on the other hand, shows a tendency of steady decrease.Th 78
Grammar and spelling errors:
Line 1, column 10, Rule ID: MASS_AGREEMENT[2]
Message: Possible agreement error - use third-person verb forms for singular and mass nouns: 'charts'.
Suggestion: charts
The line chart above demonstrates the average number o...
^^^^^
Transition Words or Phrases used:
if, then, whereas, while, in particular, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 55.0 33.7804878049 163% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1130.0 965.302439024 117% => OK
No of words: 241.0 196.424390244 123% => OK
Chars per words: 4.6887966805 4.92477711251 95% => OK
Fourth root words length: 3.94007293032 3.73543355544 105% => OK
Word Length SD: 2.51882600172 2.65546596893 95% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.510373443983 0.547539520022 93% => More unique words wanted or less content wanted.
syllable_count: 317.7 283.868780488 112% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 11.0 3.36585365854 327% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 24.2546902681 43.030603864 56% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 113.0 112.824112599 100% => OK
Words per sentence: 24.1 22.9334400587 105% => OK
Discourse Markers: 5.8 5.23603664747 111% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => 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: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.462379939063 0.215688989381 214% => OK
Sentence topic coherence: 0.210180526691 0.103423049105 203% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.196562971396 0.0843802449381 233% => The coherence between sentences is low.
Paragraph topic coherence: 0.372842364873 0.15604864568 239% => OK
Paragraph topic coherence SD: 0.224878283544 0.0819641961636 274% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 12.7 13.2329268293 96% => OK
flesch_reading_ease: 72.5 61.2550243902 118% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.22 11.4140731707 90% => OK
dale_chall_readability_score: 7.38 8.06136585366 92% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
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.