The bar chars show the number of cars per thousand people in 5 different countries in Europe in 2005, 2009 and 2010 in comparison with the average number.
The bar charts give information about the car ownership in 5 different countries in Europe as well as compare them with the figure of European average.
Overall, the number of cars owned in five countries fluctuated slightly. The highest number of cars in the three years surveyed was possessed by Germany as compared with other four countries and even the average number of entire European countries, which was around 700 cars per thousand people.
While there was no changes in the number of cars per thousand people in France all the way with the number of 700 cars, that of France still hold the second position in comparison with other four countries. Meanwhile, there was a steady decreasing in the car ownership from almost 700 cars per thousand people in 2005 to slightly below 600 in 2015, being the third highest among five countries examined though.
Greece and Italy shared the similar pattern regarding to the variation in the demand for cars, with increasing to reach the highest point in 2009, followed by dropping back to in 2015. In particular, the figure of Italy was higher by almost twofold than that of Greece, which was lowest in the chart with the number being no more than 400 cars per thousand people. In addition, decreasing from 900 cars in first year surveyed to about 850 cars in 2009, Germany saw to bounce back to almost 1000 cars in the year 2015, being more by over threefold than the smallest number in the chart at the same year, Greece's.
- the graph below shows different sources of air pollutants in the uk from 1990 to 2005 84
- The charts below show the percentage of school-aged boys and girls in secondary school and higher education in four region in the world in 2000. 73
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s. 78
- The bar chart present the percentage of changing cars in 2009 in an European country. 78
- The maps below show the centre of a small town called Islip as it is now, and plans for the development 73
Transition Words or Phrases used:
first, if, regarding, second, so, still, third, well, while, in addition, in particular, as well as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 2.0 6.8 29% => More conjunction wanted.
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 56.0 33.7804878049 166% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1238.0 965.302439024 128% => OK
No of words: 257.0 196.424390244 131% => OK
Chars per words: 4.81712062257 4.92477711251 98% => OK
Fourth root words length: 4.00390054096 3.73543355544 107% => OK
Word Length SD: 2.33180113915 2.65546596893 88% => OK
Unique words: 125.0 106.607317073 117% => OK
Unique words percentage: 0.486381322957 0.547539520022 89% => More unique words wanted or less content wanted.
syllable_count: 345.6 283.868780488 122% => 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: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 32.0 22.4926829268 142% => The Avg. Sentence Length is relatively long.
Sentence length SD: 49.7253393654 43.030603864 116% => OK
Chars per sentence: 154.75 112.824112599 137% => OK
Words per sentence: 32.125 22.9334400587 140% => OK
Discourse Markers: 12.375 5.23603664747 236% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
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: 0.39493755012 0.215688989381 183% => OK
Sentence topic coherence: 0.180330022246 0.103423049105 174% => OK
Sentence topic coherence SD: 0.071412578061 0.0843802449381 85% => OK
Paragraph topic coherence: 0.250052986633 0.15604864568 160% => OK
Paragraph topic coherence SD: 0.0660296309422 0.0819641961636 81% => OK
Essay readability:
automated_readability_index: 17.3 13.2329268293 131% => OK
flesch_reading_ease: 64.38 61.2550243902 105% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 12.2 10.3012195122 118% => OK
coleman_liau_index: 11.27 11.4140731707 99% => OK
dale_chall_readability_score: 8.11 8.06136585366 101% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 14.8 10.9970731707 135% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.