The line graph shows thefts per thousand vehicles in four countries between 1990 and 1999.
Summarize the information by selecting and reporting the main features and make comparisons where relevant.
The line graph compares the number of cars stolen for every 1000 vehicles in four countries from 1990 to 1999. Overall, it can be seen that car thefts were far higher in Great Britain than in the other three counties throughout the whole time frame.
To begin, car thefts in Sweden, France and Canada followed a fairly similar pattern over the first five years, all remaining at between 5 and 10 per thousand. The general trend though for France and Canada was a decline in the number of vehicles stolen over the period, with both at around 6 in 1999. In contrast, Sweden experienced an upward trend, starting the period at approximately 8, and finishing at just under 15.
Interestingly, car thefts in Great Britain started at 18 per thousand, which far exceeded that of the other countries. It then fluctuated over the next nine years, reaching a peak of 20 thefts per 1000 in 1996, and ending the period slightly lower than where it began, at approximately 17 per thousand.
Post date | Users | Rates | Link to Content |
---|---|---|---|
2023-09-06 | Lee Daisy | view | |
2023-09-03 | Lee Daisy | view | |
2023-03-07 | datdatduy1 | 84 | view |
2023-03-07 | datdatduy1 | 78 | view |
2022-07-22 | Ngoc21 | 78 | view |
- The pie charts below give information about the percentages of the world population living in various parts of the world in 1900 and 2000 Summarise the information by selecting and reporting the main features and make comparisons where relevant
- Television radio and newspapers influence our society opinions and views Do you agree or disagree 11
- The pie charts below give information about the percentages of the world population living in various parts of the world in 1900 and 2000 Summarise the information by selecting and reporting the main features and make comparisons where relevant
- The government should ban smoking in all public places even though this would restrict some other people s freedoms Do you agree or disagree Give reasons for your answer 78
- The bar chart below gives information about the percentage of the population living in urban areas in different parts of the world Summarise the information by selecting and reporting the main features and make comparisons where relevant 73
Transition Words or Phrases used:
first, then, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 30.0 33.7804878049 89% => 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: 812.0 965.302439024 84% => OK
No of words: 171.0 196.424390244 87% => More content wanted.
Chars per words: 4.7485380117 4.92477711251 96% => OK
Fourth root words length: 3.61617157096 3.73543355544 97% => OK
Word Length SD: 2.5198504013 2.65546596893 95% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.625730994152 0.547539520022 114% => OK
syllable_count: 227.7 283.868780488 80% => 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: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
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: 23.7289111526 43.030603864 55% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 116.0 112.824112599 103% => OK
Words per sentence: 24.4285714286 22.9334400587 107% => OK
Discourse Markers: 3.42857142857 5.23603664747 65% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 3.0 1.13902439024 263% => Less negative sentences wanted.
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: 0.187133627446 0.215688989381 87% => OK
Sentence topic coherence: 0.0903776056526 0.103423049105 87% => OK
Sentence topic coherence SD: 0.0733557470447 0.0843802449381 87% => OK
Paragraph topic coherence: 0.128861367234 0.15604864568 83% => OK
Paragraph topic coherence SD: 0.036489216883 0.0819641961636 45% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 13.2 13.2329268293 100% => OK
flesch_reading_ease: 72.5 61.2550243902 118% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.57 11.4140731707 93% => OK
dale_chall_readability_score: 8.24 8.06136585366 102% => OK
difficult_words: 37.0 40.7170731707 91% => OK
linsear_write_formula: 12.5 11.4329268293 109% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
---------------------
Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.