The graph below shows cinema attendance by age group in Great Britain.
The provided graphic demonstrates the proportion of five distinct age groups who went to movie theaters in Great Britain over the course of 19 years, starting in 1984.
A first glance at the line graph reveals that all age categories registered an upsurge in the ratio of attendance. Additionally, 15 to 24-year-old audiences hold the largest share during the whole research period.
As is shown in the diagram, the rate of young attendance between 15 and 24 years old stood at the highest point with roughly 20%. This pattern ascended to around 28% in 1988. Likewise, the rank of the group aged 35 and above rose slightly by 2% at the same time. In comparison to the statistic of these two groups by 15 years later, which saw a stabilization and steady increase to 20% in the group above 34 years old, the number of people age 15-24 underwent a fluctuation before hitting a notable fall to 50% in 2003.
Now, turning to the remained details, commencing at 5% in adults and 10% in children, these data significantly fluctuated and experienced an escalation to 40% and 25% respectively at the end of the course.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-11-22 | hahoaan | 73 | view |
| 2024-11-20 | Giang Tran | 78 | view |
| 2024-11-16 | hahoaan | 84 | view |
| 2024-11-09 | trinhthanh1 | 78 | view |
| 2024-11-07 | hahoaan | 73 | view |
- The following graphs depict the reliability of print and non print academic materials as voiced by undergraduates and postgraduates at 3 different British universities Summarise the information by selecting reporting the main features and make comparisons 70
- Some argue younger are not suitable for important positions in the government while others think this is a good idea Discuss both views and give your opinion 89
- The line graph below provide information about the incomes of four restaurants in a city in 2010 84
- The graph below shows population variation in three wildlife species from 2011 to 2016 in North America and its coastal areas Summarize the information by selecting and reporting main features and make comparisons where relevant 11
- The graph and chart give information and forecast about the vehicle and CO2 emission in England and Wales between 2000 and 2020 73
Transition Words or Phrases used:
first, if, likewise, so
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 1.0 7.0 14% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 41.0 33.7804878049 121% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 928.0 965.302439024 96% => OK
No of words: 194.0 196.424390244 99% => OK
Chars per words: 4.78350515464 4.92477711251 97% => OK
Fourth root words length: 3.73207559907 3.73543355544 100% => OK
Word Length SD: 2.800805344 2.65546596893 105% => OK
Unique words: 129.0 106.607317073 121% => OK
Unique words percentage: 0.664948453608 0.547539520022 121% => OK
syllable_count: 267.3 283.868780488 94% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 1.0 1.07073170732 93% => OK
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: 8.0 8.94146341463 89% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 64.1735926998 43.030603864 149% => OK
Chars per sentence: 116.0 112.824112599 103% => OK
Words per sentence: 24.25 22.9334400587 106% => OK
Discourse Markers: 2.875 5.23603664747 55% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.171748515546 0.215688989381 80% => OK
Sentence topic coherence: 0.0656107033323 0.103423049105 63% => OK
Sentence topic coherence SD: 0.0617279528143 0.0843802449381 73% => OK
Paragraph topic coherence: 0.0918620244364 0.15604864568 59% => OK
Paragraph topic coherence SD: 0.0658050479579 0.0819641961636 80% => OK
Essay readability:
automated_readability_index: 13.2 13.2329268293 100% => OK
flesch_reading_ease: 64.04 61.2550243902 105% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 10.74 11.4140731707 94% => OK
dale_chall_readability_score: 8.9 8.06136585366 110% => OK
difficult_words: 50.0 40.7170731707 123% => OK
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 89.8876404494 out of 100
Scores by essay e-grader: 8.0 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.