The graph below gives the average number of UK commuters travelling each day by train, car and bus
The line graph illustrates the average number of vehicles used by UK residents to get to work between 1970 with predictions to 2030.
It can be seen from the chart that, the number of people choosing to use trains and cars tends to increase and continue to increase, while the number of people choosing buses is gradually decreasing and will continue to decrease in the future. In particular, cars are the vehicle with the highest number of users.
Between 1970 and 2020, there was a sharp rise in the number of cars used by UK residents to get to work, it rose from 5 million to 7.5 million. It is also the most chosen means of transportation for residents, the number of people using it is higher than buses and trains. From 2020 with predictions to 2030, it still tends to growth possibly up to 9 million.
Besides, trains are also gradually used more and more by people from 1970 to 2020, but not as high as cars. It has increased from around 2 million to 4 million and will likely rise to 5 million by 2030. On the other hand, buses are gradually losing popularity as they have steadily decreased by 1.5 million people from 4 million people in about 50 years starting from 1970, and will continue to decrease by another 500 thousand people until 2030
- In the future all cars buses and trucks will be driverless The only people travelling inside these vehicles will be passengers Do you think the advantages of driverless vehicles outweigh the disadvantages 73
- The table and charts below give information on the police budget for 2017 and 2018 in one area of Britain The table shows where the money came from and the charts show how it was distributed 73
- The chart below shows the number of men and women in further education in Britain in three periods and whether they were studying fulltime or part time 73
- The chart below shows the percentage of the day working adults spent doing different activities in a particular country in 1958 and in 2008 Summarise the information by selecting and reporting the main features and make comparisons where relevant 78
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018 Summarise the information by selecting an reporting the main features and make comparisons where relavant
Transition Words or Phrases used:
also, besides, but, so, still, while, in particular, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 4.0 1.00243902439 399% => Less auxiliary verb wanted.
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 51.0 33.7804878049 151% => 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: 1037.0 965.302439024 107% => OK
No of words: 228.0 196.424390244 116% => OK
Chars per words: 4.54824561404 4.92477711251 92% => OK
Fourth root words length: 3.88582923847 3.73543355544 104% => OK
Word Length SD: 2.43421842894 2.65546596893 92% => OK
Unique words: 114.0 106.607317073 107% => OK
Unique words percentage: 0.5 0.547539520022 91% => More unique words wanted or less content wanted.
syllable_count: 299.7 283.868780488 106% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 1.53170731707 326% => Less pronouns wanted as sentence beginning.
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 59.9662456494 43.030603864 139% => OK
Chars per sentence: 115.222222222 112.824112599 102% => OK
Words per sentence: 25.3333333333 22.9334400587 110% => OK
Discourse Markers: 7.77777777778 5.23603664747 149% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 8.0 3.70975609756 216% => Less positive sentences wanted.
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: 0.117820564606 0.215688989381 55% => OK
Sentence topic coherence: 0.0630779264475 0.103423049105 61% => OK
Sentence topic coherence SD: 0.0574670848322 0.0843802449381 68% => OK
Paragraph topic coherence: 0.0987149334725 0.15604864568 63% => OK
Paragraph topic coherence SD: 0.0570766090549 0.0819641961636 70% => OK
Essay readability:
automated_readability_index: 12.7 13.2329268293 96% => OK
flesch_reading_ease: 71.48 61.2550243902 117% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 9.41 11.4140731707 82% => OK
dale_chall_readability_score: 7.09 8.06136585366 88% => OK
difficult_words: 32.0 40.7170731707 79% => More difficult words wanted.
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 12.0 10.9970731707 109% => OK
text_standard: 13.0 11.0658536585 117% => 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.