The chart below shows the changes in three different areas of crime in Manchester city center 2003 2012 Summarize the information by selecting and reporting the main features and making comparisons where relevant

Essay topics:

The chart below shows the changes in three different areas of crime in Manchester city center 2003-2012
Summarize the information by selecting and reporting the main features and making comparisons where relevant

The graph provides statistical data on three types of crimes in Manchester city between 2003 and 2012 years.
Overall, in chart given three types of crimes which were burglary, car theft and robbery. The main crimes from there were considered rivals to each other : burglary and car theft, whereas robbery was the less and almost fixed by a certain low numbers of crime.
The peak of the chart was in 2004, burglary with araund 3750 crimes, till this year all three categories had an increase. But then crime of burglary and car theft had decrease, especially burglary had a fall from around 3750 crimes in 2004 to 1000 crimes till 2009, from this year the chart started slightly fluctuations till 2012. Between 2006 and 2007 the burglary chart collided with chart of car theft it was around 1100 crimes.
The remaining two categories were mainly had a fluctuations. Car theft went up, whereas robbery remained unchanged in the given years. Car theft oscillated roughly from 2000 and 2500 crimes in 2003-2009 years. And which was rised nearly till 3000 crimes in 2012 year. The amount of crimes in the robbery chart was approximately 500 in 2003 and 2012. In this period of volatility the peak was nearly 1000 and the lowest 500 crimes.

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Grammar and spelling errors:
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ster city between 2003 and 2012 years. Overall, in chart given three types of c...
^^^^^^
Line 3, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...xed by a certain low numbers of crime. The peak of the chart was in 2004, burgl...
^^^^^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...f car theft it was around 1100 crimes. The remaining two categories were mainly...
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Line 4, column 51, Rule ID: A_PLURAL[1]
Message: Don't use indefinite articles with plural words. Did you mean 'a fluctuation' or simply 'fluctuations'?
Suggestion: a fluctuation; fluctuations
...emaining two categories were mainly had a fluctuations. Car theft went up, whereas robbery rem...
^^^^^^^^^^^^^^
Line 4, column 436, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... nearly 1000 and the lowest 500 crimes.
^^^^

Transition Words or Phrases used:
but, then, whereas

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 : 11.0 6.8 162% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 37.0 33.7804878049 110% => 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: 1026.0 965.302439024 106% => OK
No of words: 213.0 196.424390244 108% => OK
Chars per words: 4.81690140845 4.92477711251 98% => OK
Fourth root words length: 3.82027741392 3.73543355544 102% => OK
Word Length SD: 2.32652096468 2.65546596893 88% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.50234741784 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 275.4 283.868780488 97% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 3.36585365854 149% => OK

Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 43.7622998583 43.030603864 102% => OK
Chars per sentence: 85.5 112.824112599 76% => OK
Words per sentence: 17.75 22.9334400587 77% => OK
Discourse Markers: 1.5 5.23603664747 29% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 3.0 1.13902439024 263% => Less negative sentences wanted.
Sentences with neutral sentiment: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.166625575728 0.215688989381 77% => OK
Sentence topic coherence: 0.0781494217312 0.103423049105 76% => OK
Sentence topic coherence SD: 0.0589952748644 0.0843802449381 70% => OK
Paragraph topic coherence: 0.132264591348 0.15604864568 85% => OK
Paragraph topic coherence SD: 0.047868351493 0.0819641961636 58% => OK

Essay readability:
automated_readability_index: 10.1 13.2329268293 76% => Automated_readability_index is low.
flesch_reading_ease: 79.6 61.2550243902 130% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 6.4 10.3012195122 62% => OK
coleman_liau_index: 10.38 11.4140731707 91% => OK
dale_chall_readability_score: 7.44 8.06136585366 92% => OK
difficult_words: 40.0 40.7170731707 98% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 8.8 10.9970731707 80% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?

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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.