The charts below show three types of police reports from the city of Johnstown in 2016, along with Johnstown’s average monthly temperature.
Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
The bar graph above illustrates the number of policy reports of three categories, theft, noise complaining, and traffic violations of Johnstown in 2016. Also, the graph below shows the shift of average temperature of the city in each month. Overall, the traffic violations was the most frequent among the three types of reports and it was relatively higher in the months when the average temperature was low. The number of theft reports jumped during summer where its temperature also reached the highest point.
Looking at the charts closely, it is obvious that the report about traffic violations marked the highest number in the city. In particular, from January to March, when the average temperature was the lowest, it reached the highest at about 180 cases. The range of traffic violation reports is about 30.
In addition to that, there was a notable increase in number of theft and it went to the highest point at about 148 reports in the period of July to September. The rise of temperature of the city certainly related to this jump, because the number of theft and the shifts of average temperature drew a similar curve in the two graphs, which is low in winter and high in summer.
Finally, the number of noise complains remained steady at below 25 reports and it seemed no relevancy with the temperature. It was lower than any other types of reports all over the time.
In conclusion, the reports about traffic violation was the highest throughout the year and by contrast, the noise complains was the lowest in whole year. In number of theft reports, there was a significant increase in summer. Average temperature influenced number of traffic violation and theft, but there was no clear connection with noise complains.
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Transition Words or Phrases used:
also, but, finally, if, look, so, in addition, in conclusion, in particular
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 7.0 186% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 10.0 5.60731707317 178% => Less pronouns wanted
Preposition: 57.0 33.7804878049 169% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 1462.0 965.302439024 151% => OK
No of words: 293.0 196.424390244 149% => Less content wanted.
Chars per words: 4.98976109215 4.92477711251 101% => OK
Fourth root words length: 4.13729897018 3.73543355544 111% => OK
Word Length SD: 2.59331770941 2.65546596893 98% => OK
Unique words: 134.0 106.607317073 126% => OK
Unique words percentage: 0.457337883959 0.547539520022 84% => More unique words wanted or less content wanted.
syllable_count: 443.7 283.868780488 156% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 9.0 4.33902439024 207% => Less articles wanted as sentence beginning.
Subordination: 2.0 1.07073170732 187% => 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: 14.0 8.94146341463 157% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 43.7388469749 43.030603864 102% => OK
Chars per sentence: 104.428571429 112.824112599 93% => OK
Words per sentence: 20.9285714286 22.9334400587 91% => OK
Discourse Markers: 5.35714285714 5.23603664747 102% => OK
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 9.0 1.13902439024 790% => Less negative sentences wanted.
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.190075065315 0.215688989381 88% => OK
Sentence topic coherence: 0.0810170712823 0.103423049105 78% => OK
Sentence topic coherence SD: 0.0470722365225 0.0843802449381 56% => OK
Paragraph topic coherence: 0.11885252992 0.15604864568 76% => OK
Paragraph topic coherence SD: 0.0691388051144 0.0819641961636 84% => OK
Essay readability:
automated_readability_index: 12.5 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 59.64 61.2550243902 97% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 11.66 11.4140731707 102% => OK
dale_chall_readability_score: 7.54 8.06136585366 94% => OK
difficult_words: 54.0 40.7170731707 133% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 10.0 11.0658536585 90% => OK
What are above readability scores?
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Maximum four paragraphs wanted.
Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.