The line graph highlights the comparison of car thefts in Great Britain, Sweden, France and Canada from 1990 to 1999.
Overall, it is clearly evident that, The Great Britain recorded the most cases of automobile thievery, while The Canadians were less likely to be involved in car theft over the period.
Moving to more detailed analysis, in 1990, as much as around 18 thefts per 1000 cars were captured with cases from other nations accounting for lesser than 10 thefts per 1000 cars. Even though, vehicle thievery cases declined slightly to 16 thefts per 1000 automobile, it remained the more pronounced by the year end. Conversely, by 199, the number of people stealing vehicles had notably risen to 13 per 1000 representing the second most reported theft nation over the period.
With regards to other countries, the trend was relatively similar after one year. More precisely, cases recorded in France and Canada remained fairly stable, with both finishing off at a little over 5 thefts per 1000 automobiles in 1999.
- Some countries encourage teenagers to have a part time job to see it is a good thing, while others disagree.Discuss both these views and give your opinion. 78
- The pie charts and table give information about the total value sources of fish imported to the US between 1988 and 2000. 78
- The diagrams below show the life cycle of a species of large fish called the salmon. 78
- The diagram below shows the steps in the process of manufacturing yogurt 84
- The line graph below gives information about the number of visitors to three London museums between June and September 2013. 62
Grammar and spelling errors:
Line 5, column 10, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... car theft over the period. Moving to more detailed analysis, in 1990, as much...
^^
Line 5, column 259, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'automobile' seems to be countable, so consider using: 'automobiles'.
Suggestion: automobiles
...declined slightly to 16 thefts per 1000 automobile, it remained the more pronounced by the...
^^^^^^^^^^
Transition Words or Phrases used:
conversely, second, so, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 2.0 6.8 29% => More conjunction wanted.
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 28.0 33.7804878049 83% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 861.0 965.302439024 89% => OK
No of words: 170.0 196.424390244 87% => More content wanted.
Chars per words: 5.06470588235 4.92477711251 103% => OK
Fourth root words length: 3.61087313685 3.73543355544 97% => OK
Word Length SD: 2.46981080205 2.65546596893 93% => OK
Unique words: 110.0 106.607317073 103% => OK
Unique words percentage: 0.647058823529 0.547539520022 118% => OK
syllable_count: 250.2 283.868780488 88% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 7.0 8.94146341463 78% => 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: 24.0 22.4926829268 107% => OK
Sentence length SD: 33.9609619825 43.030603864 79% => OK
Chars per sentence: 123.0 112.824112599 109% => OK
Words per sentence: 24.2857142857 22.9334400587 106% => OK
Discourse Markers: 4.14285714286 5.23603664747 79% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 3.0 3.70975609756 81% => 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: 0.210876530819 0.215688989381 98% => OK
Sentence topic coherence: 0.102373320476 0.103423049105 99% => OK
Sentence topic coherence SD: 0.0688120405147 0.0843802449381 82% => OK
Paragraph topic coherence: 0.128776451636 0.15604864568 83% => OK
Paragraph topic coherence SD: 0.0783230003733 0.0819641961636 96% => OK
Essay readability:
automated_readability_index: 14.5 13.2329268293 110% => OK
flesch_reading_ease: 55.58 61.2550243902 91% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 12.36 11.4140731707 108% => OK
dale_chall_readability_score: 9.19 8.06136585366 114% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.