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 given barchart depicts the quarterly police reports and below provided line chart shows the non-linear curve of the average temperature each month.Both graphs have a common x-axis ,i.e months of the year 2016.
The police reports of traffic violations and noise complaints each quarter do not vary much, for example the decrease in traffic violations from the first quarter to the third quarter was less than 50, on the other hand there was a surge in theft reports during the same timeline from mere 25 reports to a count exceeding 125 reports.
Surprisingly during the third quarter, the city experienced its peak average monthly temperature of approximately 24.5 celsius, in the month of July.After this peak the temperature fell continuously, along with which the theft reports decreased in the last quarter and despite that fall, traffic violation reports increased by a modicum amount.
Noise complaint reports were almost stagnant in all quarters unlike the volatile theft reports which followed a common pattern that the average temperature showed.Theft reports increased till the third quarter ,similarly average monthly temperature skyrocketed till July and followed a rigorous fall in congruent with theft reports also decreasing in the last quarter.
| Post date | Users | Rates | Link to Content |
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| 2021-08-31 | JAY9923 | 73 | view |
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| 2020-08-24 | anirudh8860 | 67 | view |
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Grammar and spelling errors:
Line 1, column 60, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...depicts the quarterly police reports and below provided line chart shows the non-...
^^
Line 1, column 153, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Both
...e of the average temperature each month.Both graphs have a common x-axis ,i.e months...
^^^^
Line 1, column 185, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...h month.Both graphs have a common x-axis ,i.e months of the year 2016. The police...
^^
Line 3, column 149, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: After
...tely 24.5 celsius, in the month of July.After this peak the temperature fell continuo...
^^^^^
Line 4, column 163, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Theft
...ern that the average temperature showed.Theft reports increased till the third quarte...
^^^^^
Line 4, column 209, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...reports increased till the third quarter ,similarly average monthly temperature sk...
^^
Transition Words or Phrases used:
also, first, similarly, so, third, for example, on the other hand
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: 0.0 1.00243902439 0% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 27.0 33.7804878049 80% => 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: 1072.0 965.302439024 111% => OK
No of words: 197.0 196.424390244 100% => OK
Chars per words: 5.44162436548 4.92477711251 110% => OK
Fourth root words length: 3.74642080493 3.73543355544 100% => OK
Word Length SD: 2.71459248185 2.65546596893 102% => OK
Unique words: 114.0 106.607317073 107% => OK
Unique words percentage: 0.578680203046 0.547539520022 106% => OK
syllable_count: 318.6 283.868780488 112% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 4.0 8.94146341463 45% => 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: 49.0 22.4926829268 218% => The Avg. Sentence Length is relatively long.
Sentence length SD: 59.6070465633 43.030603864 139% => OK
Chars per sentence: 268.0 112.824112599 238% => Less chars_per_sentence wanted.
Words per sentence: 49.25 22.9334400587 215% => Less words per sentence wanted.
Discourse Markers: 16.25 5.23603664747 310% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 6.0 1.69756097561 353% => Less language errors wanted.
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
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: 0.259674978452 0.215688989381 120% => OK
Sentence topic coherence: 0.178344633974 0.103423049105 172% => OK
Sentence topic coherence SD: 0.0430741050379 0.0843802449381 51% => OK
Paragraph topic coherence: 0.178344633974 0.15604864568 114% => OK
Paragraph topic coherence SD: 0.0430741050379 0.0819641961636 53% => OK
Essay readability:
automated_readability_index: 28.8 13.2329268293 218% => Automated_readability_index is high.
flesch_reading_ease: 21.74 61.2550243902 35% => Flesch_reading_ease is low.
smog_index: 13.0 6.51609756098 200% => OK
flesch_kincaid_grade: 22.4 10.3012195122 217% => Flesch kincaid grade is high.
coleman_liau_index: 15.16 11.4140731707 133% => OK
dale_chall_readability_score: 9.91 8.06136585366 123% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 18.0 11.4329268293 157% => OK
gunning_fog: 21.6 10.9970731707 196% => OK
text_standard: 22.0 11.0658536585 199% => OK
What are above readability scores?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.