The charts below show the total number of applicants the year before and the year after Doolittle University’s social media advertising campaign, organized by age range and how close the applicants live to the university. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.
The line charts in question report the total number of applicants the year before and the year after Doolittle University’s social media advertising campaign, organized by age range (18 to 40 + ) and how close the applicants live to the university.
The first bar graph diagram accounts for the applicants who live within a maximum 100 km of the university. According to the bar chart, maximum number of applicants of the college are between 18 and 22 which is nearly 380 and this number has risen meagerly to 390 after social media ads. For all other categories of prospective student a general trend of a rise in applications was observed after advertising , out of which 40+ aged group saw a jump in growth in quantity of admission forms from 10 to nearly 50.
As reported by the second graph ,for the case of applicants who live beyond 100 km away from campus , social media ads did see a dramatic rise in the sum total of applications from 170 to 320 for the 18-22 aged people. The admission forms submitted by people of 23-29 , 30-39 and 40+ remained constant, decreased and increased slightly after advertisements.
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Grammar and spelling errors:
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The line charts in question report the total number of applicants th...
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Line 1, column 195, Rule ID: WHITESPACE_RULE
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...paign, organized by age range 18 to 40 + and how close the applicants live to the...
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Line 1, column 251, Rule ID: WHITESPACE_RULE
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... the applicants live to the university. The first bar graph diagram account...
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Line 3, column 10, Rule ID: WHITESPACE_RULE
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...s live to the university. The first bar graph diagram accounts for the ...
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Line 3, column 15, Rule ID: WHITESPACE_RULE
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...e to the university. The first bar graph diagram accounts for the appli...
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Line 3, column 22, Rule ID: WHITESPACE_RULE
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...e university. The first bar graph diagram accounts for the applicants w...
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Line 3, column 31, Rule ID: WHITESPACE_RULE
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...ity. The first bar graph diagram accounts for the applicants who live wi...
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Line 3, column 42, Rule ID: WHITESPACE_RULE
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...he first bar graph diagram accounts for the applicants who live within a max...
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Line 3, column 141, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...e university. According to the bar chart , maximum number of applicants of the col...
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Line 3, column 343, Rule ID: WHITESPACE_RULE
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... other categories of prospective student a general trend of rise in applications...
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Line 3, column 363, Rule ID: WHITESPACE_RULE
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... prospective student a general trend of rise in applications was observed after ...
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Line 3, column 416, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...lications was observed after advertising , out of which 40 plus aged group saw a...
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Line 3, column 444, Rule ID: WHITESPACE_RULE
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... advertising , out of which 40 plus aged group saw a jump in growth in quantity ...
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Line 3, column 451, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
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...ising , out of which 40 plus aged group saw a jump in growth in quantity of admi...
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Line 3, column 504, Rule ID: WHITESPACE_RULE
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...in growth in quantity of admission forms from 10 to nearly 50. As reported by...
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Line 5, column 32, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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... 50. As reported by the second graph ,for the case of applicants who live beyo...
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Line 5, column 100, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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... who live beyond 100 km away from campus , social media ads did see a the sum tot...
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Line 5, column 128, Rule ID: DT_DT[1]
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... from campus , social media ads did see a the sum total of applications from 170 to 3...
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Line 5, column 129, Rule ID: WHITESPACE_RULE
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...from campus , social media ads did see a the sum total of applications from 170 t...
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Line 5, column 176, Rule ID: WHITESPACE_RULE
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...um total of applications from 170 to 320 for the 18-22 aged people. The admission...
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Line 5, column 253, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ssion forms submitted by people of 23-29 , 30-39 and 40+ remained constant, decrea...
^^
Transition Words or Phrases used:
first, second, so
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 : 6.0 6.8 88% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 35.0 33.7804878049 104% => 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: 921.0 965.302439024 95% => OK
No of words: 190.0 196.424390244 97% => OK
Chars per words: 4.84736842105 4.92477711251 98% => OK
Fourth root words length: 3.71268753763 3.73543355544 99% => OK
Word Length SD: 2.80319156886 2.65546596893 106% => OK
Unique words: 113.0 106.607317073 106% => OK
Unique words percentage: 0.594736842105 0.547539520022 109% => OK
syllable_count: 268.2 283.868780488 94% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => 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: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 6.0 8.94146341463 67% => 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: 31.0 22.4926829268 138% => The Avg. Sentence Length is relatively long.
Sentence length SD: 48.8856375181 43.030603864 114% => OK
Chars per sentence: 153.5 112.824112599 136% => OK
Words per sentence: 31.6666666667 22.9334400587 138% => OK
Discourse Markers: 2.83333333333 5.23603664747 54% => More transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 21.0 1.69756097561 1237% => Less language errors wanted.
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.404540322313 0.215688989381 188% => OK
Sentence topic coherence: 0.200964307199 0.103423049105 194% => OK
Sentence topic coherence SD: 0.226730226165 0.0843802449381 269% => The coherence between sentences is low.
Paragraph topic coherence: 0.338465451335 0.15604864568 217% => OK
Paragraph topic coherence SD: 0.253306160359 0.0819641961636 309% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 17.2 13.2329268293 130% => OK
flesch_reading_ease: 56.93 61.2550243902 93% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 13.0 10.3012195122 126% => OK
coleman_liau_index: 11.44 11.4140731707 100% => OK
dale_chall_readability_score: 8.0 8.06136585366 99% => OK
difficult_words: 34.0 40.7170731707 84% => More difficult words wanted.
linsear_write_formula: 14.0 11.4329268293 122% => OK
gunning_fog: 14.4 10.9970731707 131% => OK
text_standard: 14.0 11.0658536585 127% => 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.