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 chart gives information about the number of cars per 1000 people in five European
countries in 2005, 2009 and 2015, in comparison to the European average.
Overall, it can be seen that on average, there was a rise in the number of cars per 1000
people in Europe from 2005 to 2015. In addition, country 4 was the only country where
there was no change in the number of cars during the surveyed years.
Country 5 had the highest figure among the five nations, with about 900 per 1000 people
in 2005, higher than the average figure for Europe by roughly 200. The figures dropped
in 2009 but rose up to almost one car per person by 2015. In contrast, country 1 had the
lowest number of cars, with only around 300 cars per 1000 people in 2005. It increased
to 400 in 2009 and then returned to its original point six years later.
Country 3 and 4 shared similar figures of approximately 700 per 1000 people in 2005,
similar to the European average. However, while the number remained unchanged in
country 4, the figures for country 3 dropped below 600 per 1000 in 2015. Finally, the
number of cars per 1000 in country 2 went from 500 in 2005, to approximately 560 in
2015.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2019-06-14 | Nodir___bek | 61 | view |
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Grammar and spelling errors:
Line 1, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...of cars per 1000 people in five European countries in 2005, 2009 and 2015, in com...
^^^
Line 2, column 74, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... in comparison to the European average. Overall, it can be seen that on average,...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Line 3, column 93, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...as a rise in the number of cars per 1000 people in Europe from 2005 to 2015. In a...
^^^
Line 4, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...on, country 4 was the only country where there was no change in the number of car...
^^^
Line 6, column 89, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... nations, with about 900 per 1000 people in 2005, higher than the average figure ...
^^^
Line 7, column 87, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...rope by roughly 200. The figures dropped in 2009 but rose up to almost one car pe...
^^^
Line 8, column 89, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... by 2015. In contrast, country 1 had the lowest number of cars, with only around ...
^^^
Line 9, column 87, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...rs per 1000 people in 2005. It increased to 400 in 2009 and then returned to its ...
^^^
Line 11, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...proximately 700 per 1000 people in 2005, similar to the European average. However...
^^^
Line 12, column 81, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
..., while the number remained unchanged in country 4, the figures for country 3 dro...
^^^
Line 13, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...below 600 per 1000 in 2015. Finally, the number of cars per 1000 in country 2 wen...
^^^
Line 14, column 84, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...rom 500 in 2005, to approximately 560 in 2015.
^^^
Transition Words or Phrases used:
but, finally, however, so, then, while, in addition, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 45.0 33.7804878049 133% => 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: 980.0 965.302439024 102% => OK
No of words: 216.0 196.424390244 110% => OK
Chars per words: 4.53703703704 4.92477711251 92% => OK
Fourth root words length: 3.83365862548 3.73543355544 103% => OK
Word Length SD: 2.2813131251 2.65546596893 86% => OK
Unique words: 106.0 106.607317073 99% => OK
Unique words percentage: 0.490740740741 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 271.8 283.868780488 96% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 9.0 3.36585365854 267% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 24.7507575642 43.030603864 58% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 98.0 112.824112599 87% => OK
Words per sentence: 21.6 22.9334400587 94% => OK
Discourse Markers: 6.4 5.23603664747 122% => OK
Paragraphs: 14.0 3.83414634146 365% => Less paragraphs wanted.
Language errors: 12.0 1.69756097561 707% => Less language errors wanted.
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
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: 0.435356926731 0.215688989381 202% => OK
Sentence topic coherence: 0.202043519303 0.103423049105 195% => OK
Sentence topic coherence SD: 0.126551630456 0.0843802449381 150% => OK
Paragraph topic coherence: 0.175680868624 0.15604864568 113% => OK
Paragraph topic coherence SD: 0.104841833104 0.0819641961636 128% => OK
Essay readability:
automated_readability_index: 10.8 13.2329268293 82% => Automated_readability_index is low.
flesch_reading_ease: 75.54 61.2550243902 123% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 9.05 11.4140731707 79% => OK
dale_chall_readability_score: 7.02 8.06136585366 87% => OK
difficult_words: 32.0 40.7170731707 79% => More difficult words wanted.
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
Maximum four paragraphs wanted.
Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 Out of 9
---------------------
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.