The charts below show the males and females arrested over 5 years and the reasons for the most recent arrests.
The given graphs compare the proportion of arrests that happened on both the sexes, along with a detailed survey on various reasons responsible for the respective arrests over a period of 5 years from 1990 to 1994.
Looking from the overall perspective, it is readily apparent that the arrested ratio varies a lot in the context of gender. The majority of males got arrested as compared to females. Although many reasons were interrogated with regard to the arrests, most fell under the category of public drinking.
According to the given illustration, more than a quarter(32%) of males were arrested as against just 9% of females. Despite the involvement of both the genders in the wrong activities, the proportion among males was the highest.
On the other hand, as per the bar graph, out of the seven most recent crimes, women-led men mainly in public drinking, assault, and no answer category by undergoing 38%, 18%, and 7% arrests as opposed 31%, 16%, and 4% men arrests. On the contrary, more men got punished under crimes of drink-drive(26%), breach of order(18%), theft(16%), and for other reasons(19%), which were higher by 10%, 6%, 3%, and 1% respectively as compared to the opposite sex.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-06-05 | ililmaidatuz | 78 | view |
| 2021-12-15 | tracy k | 78 | view |
| 2020-07-01 | pris | 84 | view |
| 2019-12-05 | jenmin | 78 | view |
| 2019-06-25 | Lê Võ Nhật Quang | 78 | view |
- Some people think that all teenagers should be required to do unpaid work in their free time to help the local community They believe this would benefit both the individual teenager and society as a whole Do you agree or disagree 84
- The diagram below shows how instant noodles are manufactured 78
- The maps below show the town of Langley in 1910 and 1950 77
- The chart below gives information about trends in internet use by females in the USA in two years 92
- The table compares the percentages of people using different functions of their mobile phones between 2006 and 2010 84
Transition Words or Phrases used:
look, so, on the contrary, with regard to, on the other hand
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 : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 36.0 33.7804878049 107% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1009.0 965.302439024 105% => OK
No of words: 200.0 196.424390244 102% => OK
Chars per words: 5.045 4.92477711251 102% => OK
Fourth root words length: 3.76060309309 3.73543355544 101% => OK
Word Length SD: 2.78761098434 2.65546596893 105% => OK
Unique words: 122.0 106.607317073 114% => OK
Unique words percentage: 0.61 0.547539520022 111% => OK
syllable_count: 291.6 283.868780488 103% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 5.0 0.482926829268 1035% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 58.706766007 43.030603864 136% => OK
Chars per sentence: 126.125 112.824112599 112% => OK
Words per sentence: 25.0 22.9334400587 109% => OK
Discourse Markers: 7.5 5.23603664747 143% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 0.0 3.70975609756 0% => More positive sentences wanted.
Sentences with negative sentiment : 8.0 1.13902439024 702% => Less negative sentences wanted.
Sentences with neutral sentiment: 0.0 4.09268292683 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.281002971773 0.215688989381 130% => OK
Sentence topic coherence: 0.1143129638 0.103423049105 111% => OK
Sentence topic coherence SD: 0.0730433297287 0.0843802449381 87% => OK
Paragraph topic coherence: 0.166623664322 0.15604864568 107% => OK
Paragraph topic coherence SD: 0.0631844148555 0.0819641961636 77% => OK
Essay readability:
automated_readability_index: 14.8 13.2329268293 112% => OK
flesch_reading_ease: 54.56 61.2550243902 89% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 12.25 11.4140731707 107% => OK
dale_chall_readability_score: 9.38 8.06136585366 116% => OK
difficult_words: 57.0 40.7170731707 140% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 12.0 10.9970731707 109% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.