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 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 most 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 a increase. But then crime of burglary and car theft had decrease, especially burglary had a dramatically fall from around 3750 in 2004 to 1000 till 2009, from this year the chart started slightly fluctuation 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 rise 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. The graph provides statistical data on three types of crimes in Manchester city between 2003 and 2012 years.
- The pie chart shows the percentage of persons arrested in the five years ending 1994 and the bar chart shows the most recent reasons for arrest
- The pie chart shows the percentage of persons arrested in the five years ending 1994 and the bar chart shows the most recent reasons for arrest
- Big salary is much more important than job satisfaction Do you agree or disagree Provide relevant examples if necessary 70
- 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 73
- The pie chart shows the percentage of persons arrested in the five years ending 1994 and the bar chart shows the most recent reasons for arrest
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 2, column 204, Rule ID: MOST_COMPARATIVE[1]
Message: Use only 'less' (without 'most') when you use the comparative.
Suggestion: less
... and car theft, whereas robbery was the most less and almost fixed by a certain low numbe...
^^^^^^^^^
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 3, column 116, Rule ID: EN_A_VS_AN
Message: Use 'an' instead of 'a' if the following word starts with a vowel sound, e.g. 'an article', 'an hour'
Suggestion: an
...till this year all three categories had a increase. But then crime of burglary an...
^
Line 3, column 206, Rule ID: A_RB_NN[1]
Message: You used an adverb ('dramatically') instead an adjective, or a noun ('fall') instead of another adjective.
...t had decrease, especially burglary had a dramatically fall from around 3750 in 2004 to 1000 till 2...
^^^^^^^^^^^^^^^^^^^
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...
^^^^^
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 r...
^^^^^^^^^^^^^^
Line 4, column 65, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ategories were mainly had a fluctuations . Car theft went up , whereas robbery rem...
^^
Line 4, column 84, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...y had a fluctuations . Car theft went up , whereas robbery remained unchanged in t...
^^
Line 4, column 427, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... nearly 1000 and the lowest 500 crimes. The graph provides statistical data on t...
^^^^
Transition Words or Phrases used:
but, then, whereas
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 12.0 6.8 176% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 41.0 33.7804878049 121% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1105.0 965.302439024 114% => OK
No of words: 228.0 196.424390244 116% => OK
Chars per words: 4.84649122807 4.92477711251 98% => OK
Fourth root words length: 3.88582923847 3.73543355544 104% => OK
Word Length SD: 2.40168072681 2.65546596893 90% => OK
Unique words: 109.0 106.607317073 102% => OK
Unique words percentage: 0.478070175439 0.547539520022 87% => More unique words wanted or less content wanted.
syllable_count: 299.7 283.868780488 106% => 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: 6.0 4.33902439024 138% => 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: 13.0 8.94146341463 145% => OK
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 43.340129948 43.030603864 101% => OK
Chars per sentence: 85.0 112.824112599 75% => OK
Words per sentence: 17.5384615385 22.9334400587 76% => OK
Discourse Markers: 1.38461538462 5.23603664747 26% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 10.0 1.69756097561 589% => 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: 9.0 4.09268292683 220% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.184239438707 0.215688989381 85% => OK
Sentence topic coherence: 0.0873495540833 0.103423049105 84% => OK
Sentence topic coherence SD: 0.0678542406101 0.0843802449381 80% => OK
Paragraph topic coherence: 0.144073146896 0.15604864568 92% => OK
Paragraph topic coherence SD: 0.056166299136 0.0819641961636 69% => OK
Essay readability:
automated_readability_index: 10.2 13.2329268293 77% => 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: 10.55 11.4140731707 92% => OK
dale_chall_readability_score: 7.25 8.06136585366 90% => 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?
---------------------
Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 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.