The bar chart shows the number of cars per 1000 people in 5 European countries in 3 years and compares with the European average.
The bar chart provided depicts the quantity of automobiles per 1000 people in different 5 parts of Europe over a period of 10 years from 2005 to 2015 compared with the European average.
Overall, it is evident that the number of cars per 1000 people in Country 5 was always the largest from 2005 to 2015, whereas the opposite was true of Country 1.
As can be seen from the bar chart given, the quantity of automobiles per 1000 people in Country 1 witnessed a considerable fluctuation between 2005 and 2015, which surged to about 400 automobiles in 2009 and plummeted to almost 300 automobiles in 2015. There was not many changes of the figure for Country 2, which always fluctuated from 500 to merely 550 cars over 10 years. The figure for Country 3 gradually crashed to approximately 550 automobiles between 2005 and 2015.
As far as the bar chart is concerned, the number of cars per 1000 people in Country 4 reached a plateau at about 700 cars for a decade. The figure for Country 5 and the European average both witnessed a slight decrease before leaping to almost 1000 and 800 automobiles in 2015, respectively.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2021-11-02 | Louisa_Nguyễn | 64 | view |
- The bar chart shows the number of cars per 1000 people in 5 European countries in 3 years and compares with the European average 64
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- Many people think that fast food companies should not be allowed to advertise while others believe that all companies should have the right to advertise What is your opinion 84
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Transition Words or Phrases used:
if, whereas
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.48453608247 80% => OK
Auxiliary verbs: 1.0 4.92783505155 20% => OK
Conjunction : 5.0 5.05154639175 99% => OK
Relative clauses : 3.0 3.03092783505 99% => OK
Pronoun: 2.0 32.9175257732 6% => OK
Preposition: 36.0 26.3917525773 136% => OK
Nominalization: 1.0 3.85567010309 26% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 923.0 937.175257732 98% => OK
No of words: 198.0 206.0 96% => OK
Chars per words: 4.66161616162 4.54256449028 103% => OK
Fourth root words length: 3.75116612262 3.78020617076 99% => OK
Word Length SD: 2.66295751377 2.54303337028 105% => OK
Unique words: 97.0 127.690721649 76% => More unique words wanted.
Unique words percentage: 0.489898989899 0.622605031667 79% => More unique words wanted or less content wanted.
syllable_count: 265.5 290.88556701 91% => OK
avg_syllables_per_word: 1.3 1.41237113402 92% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 9.13402061856 11% => OK
Article: 5.0 0.824742268041 606% => Less articles wanted as sentence beginning.
Subordination: 2.0 1.83505154639 109% => OK
Conjunction: 0.0 0.463917525773 0% => OK
Preposition: 0.0 1.44329896907 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 7.0 12.6804123711 55% => 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: 28.0 16.3608247423 171% => The Avg. Sentence Length is relatively long.
Sentence length SD: 46.3024661044 44.8134815571 103% => OK
Chars per sentence: 131.857142857 76.5299724578 172% => OK
Words per sentence: 28.2857142857 16.8248392259 168% => OK
Discourse Markers: 1.57142857143 4.34317383033 36% => More transition words/phrases wanted.
Paragraphs: 4.0 4.29896907216 93% => OK
Language errors: 0.0 2.54639175258 0% => OK
Sentences with positive sentiment : 3.0 7.41237113402 40% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.49484536082 0% => More negative sentences wanted.
Sentences with neutral sentiment: 4.0 3.94845360825 101% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.385035738183 0.216113520407 178% => OK
Sentence topic coherence: 0.188459945351 0.0766984524023 246% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.11288737235 0.0603063233224 187% => OK
Paragraph topic coherence: 0.26963909146 0.12726935374 212% => OK
Paragraph topic coherence SD: 0.10027904275 0.0580467560999 173% => OK
Essay readability:
automated_readability_index: 14.7 8.37731958763 175% => OK
flesch_reading_ease: 68.44 70.7449484536 97% => OK
smog_index: 8.8 3.82989690722 230% => Smog_index is high.
flesch_kincaid_grade: 10.7 7.45979381443 143% => OK
coleman_liau_index: 10.04 8.71597938144 115% => OK
dale_chall_readability_score: 7.82 7.59969072165 103% => OK
difficult_words: 35.0 41.2886597938 85% => More difficult words wanted.
linsear_write_formula: 18.0 8.62886597938 209% => Linsear_write_formula is high.
gunning_fog: 13.2 8.54432989691 154% => OK
text_standard: 11.0 8.15463917526 135% => 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.