The graph shows the percentage of male and female academic staff members across the faculties of a major university in 2012 .
Summaries the information by selecting and reporting the main feature , and make comparisons where relevant .
The given column graph illustrates the proportion of man and woman professors in the universities in 2012 . It can clearly seen from the graph that the biggest discrepancy seen between number of male and female faculties of engineering department .
In all seven department , the percentage of man professors were higher than woman except arts , education and medicine . About 58 % and 42 % of female and male faculties were in arts respectively . The opposite trend between proportion male and female professors is seen in education and engineering . About 76 % and 22 % lecturers in education while 18 % and 82 % lecturers of female and male in engineering department respectively . It clearly seen that percentage of female professors were least and for men were highest in engineering department out of all seven . Percentage of male and female lecturer were almost similar for law and science .It was around 40 % (female ) and 60 % (male ) .Proportion of male professors were slightly less (2 %) than the female and the figure of business faculties were 38 % and 62 % for female and male respectively .
Overall , gap between percentage of male and female professors was large in engineering and less in medicine and highest number of male lecturers in engineering .
- The line graph below shows the population size, birth rate and the death rate ofEngland and Wales from 1700 to 2000. Summarise the information by selecting andreporting the main features and make comparisons where relevant. 73
- The graph shows the percentage of male and female academic staff members across the faculties of a major university in 2012 . Summaries the information by selecting and reporting the main feature , and make comparisons where relevant . 56
- The chart below shows the percentage of adults of different age groups in the UK whoused the Internet everyday from 2003-2006. Summarize the information by selectingand reporting the main features and make comparisons where relevant. 78
- The graph below shows the proportion of four different material that were recycled from 1982 to 2010 in a particular country . Summaries the information by selecting and reporting the main features , and make comparison where relevant . 84
- The graph below shows the proportion of four different material that were recycled from 1982 to 2010 in a particular country .Summaries the information by selecting and reporting the main features , and make comparisons where relevant . 56
Grammar and spelling errors:
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...ustrates the proportion of man and woman professors in the universities in 2012...
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Line 1, column 79, Rule ID: WHITESPACE_RULE
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... proportion of man and woman professors in the universities in 2012 . It can cle...
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...professors in the universities in 2012 . It can clearly seen from the graph that...
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Line 1, column 227, Rule ID: WHITESPACE_RULE
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...n number of male and female faculties of engineering department . In all seven...
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Line 1, column 251, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ale faculties of engineering department . In all seven department , the perce...
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...engineering department . In all seven department , the percentage of man profe...
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...department . In all seven department , the percentage of man professors were h...
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Line 3, column 95, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ssors were higher than woman except arts , education and medicine . About 58 % and...
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...man except arts , education and medicine . About 58 % and 42 % of female and male ...
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Line 3, column 179, Rule ID: WHITESPACE_RULE
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...2 % of female and male faculties were in arts respectively . The opposite trend b...
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Line 3, column 198, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ale faculties were in arts respectively . The opposite trend between proportion m...
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Line 3, column 265, Rule ID: WHITESPACE_RULE
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...en proportion male and female professors is seen in education and engineering . ...
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Line 3, column 277, Rule ID: WHITESPACE_RULE
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...n male and female professors is seen in education and engineering . About 76 % a...
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Line 3, column 304, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...s is seen in education and engineering . About 76 % and 22 % lecturers in educa...
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Line 3, column 326, Rule ID: WHITESPACE_RULE
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...on and engineering . About 76 % and 22 % lecturers in education while 18 % and 82...
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... % and 82 % lecturers of female and male in engineering department respectively ....
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... in engineering department respectively . It clearly seen that percentage of fema...
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... engineering department out of all seven . Percentage of male and female lecturer...
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...engineering department out of all seven . Percentage of male and female lecturer ...
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... female lecturer were almost similar for law and science .It was around 40 % fema...
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...were almost similar for law and science .It was around 40 % female and 60 % male...
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...re almost similar for law and science .It was around 40 % female and 60 % male ...
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...w and science .It was around 40 % female and 60 % male .Proportion of male profe...
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...It was around 40 % female and 60 % male .Proportion of male professors were slig...
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Line 3, column 699, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...t was around 40 % female and 60 % male .Proportion of male professors were sligh...
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Line 3, column 701, Rule ID: SENTENCE_WHITESPACE
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...was around 40 % female and 60 % male .Proportion of male professors were slightly less 2...
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Line 3, column 858, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...nd 62 % for female and male respectively . Overall , gap between percentage o...
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Line 5, column 8, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...male and male respectively . Overall , gap between percentage of male and fem...
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Line 5, column 10, Rule ID: WHITESPACE_RULE
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...le and male respectively . Overall , gap between percentage of male and femal...
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... number of male lecturers in engineering .
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Transition Words or Phrases used:
so, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 20.0 6.8 294% => Less conjunction wanted
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 11.0 3.97073170732 277% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1048.0 965.302439024 109% => OK
No of words: 199.0 196.424390244 101% => OK
Chars per words: 5.26633165829 4.92477711251 107% => OK
Fourth root words length: 3.75589349951 3.73543355544 101% => OK
Word Length SD: 3.0623608098 2.65546596893 115% => OK
Unique words: 81.0 106.607317073 76% => More unique words wanted.
Unique words percentage: 0.407035175879 0.547539520022 74% => More unique words wanted or less content wanted.
syllable_count: 331.2 283.868780488 117% => OK
avg_syllables_per_word: 1.7 1.45097560976 117% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 55.2759631193 43.030603864 128% => OK
Chars per sentence: 116.444444444 112.824112599 103% => OK
Words per sentence: 22.1111111111 22.9334400587 96% => OK
Discourse Markers: 1.0 5.23603664747 19% => More transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 30.0 1.69756097561 1767% => Less language errors wanted.
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.173230052128 0.215688989381 80% => OK
Sentence topic coherence: 0.0903367923673 0.103423049105 87% => OK
Sentence topic coherence SD: 0.0380975864135 0.0843802449381 45% => Sentences are similar to each other.
Paragraph topic coherence: 0.134461539918 0.15604864568 86% => OK
Paragraph topic coherence SD: 0.0236927175409 0.0819641961636 29% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 14.4 13.2329268293 109% => OK
flesch_reading_ease: 40.69 61.2550243902 66% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 13.1 10.3012195122 127% => OK
coleman_liau_index: 13.29 11.4140731707 116% => OK
dale_chall_readability_score: 6.71 8.06136585366 83% => OK
difficult_words: 25.0 40.7170731707 61% => More difficult words wanted.
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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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.