The bar chart below represents the figure of overseas pupils enrolled in third year at Canadian college in Computer Science course.
In general, Chine had got maximum number of register student in the college, whereas the citizen of France had minimum unit to apply at same university. In comparison to database core option , student are more attracted to network course.
Firstly, among all five countries highest unit of postgraduate had chosen database core option. However, the total student of Singapore who had join the computer course in college is 12 but France had least number of fresher in same course. Although, 11 scholar of Malaysia had enrolled in the college to study network and database option. Relatively, high amount of female are interest to study database in France but male of Singapore are much more attracted to the same course then women .
Secondly, the big unit of fresher had enter to college from Chine . On the other hand, more number of women had sigh up to network course from Chine similarly, male are focused on network programming then database option. But, in Sri Lank 12 number of pupils are enrolled in Canadian college.
Grammar and spelling errors:
Line 1, column 45, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...bar chart below represents the figure of overseas pupils enrolled in third year a...
^^
Line 3, column 61, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d got maximum number of register student in the college, whereas the citizen of ...
^^
Line 3, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...egister student in the college, whereas the citizen of France had minimum unit t...
^^
Line 3, column 193, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...y. In comparison to database core option , student are more attracted to network c...
^^
Line 5, column 25, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'countries the highest'.
Suggestion: countries the highest
...work course. Firstly, among all five countries highest unit of postgraduate had chosen databas...
^^^^^^^^^^^^^^^^^
Line 5, column 105, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ad chosen database core option. However, the total student of Singapore who had ...
^^
Line 5, column 137, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...However, the total student of Singapore who had join the computer course in coll...
^^
Line 5, column 147, Rule ID: HAD_VBP[1]
Message: Possible agreement error -- use past participle here: 'joined'.
Suggestion: joined
...the total student of Singapore who had join the computer course in college is 12 bu...
^^^^
Line 5, column 147, Rule ID: HAVE_PART_AGREEMENT[1]
Message: Use past participle here: 'joined'.
Suggestion: joined
...the total student of Singapore who had join the computer course in college is 12 bu...
^^^^
Line 5, column 193, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'France' seems to be countable, so consider using: 'Frances'.
Suggestion: Frances
...he computer course in college is 12 but France had least number of fresher in same cou...
^^^^^^
Line 5, column 200, Rule ID: THE_SUPERLATIVE[3]
Message: A determiner is probably missing here: 'had the least'.
Suggestion: had the least
...uter course in college is 12 but France had least number of fresher in same course. Altho...
^^^^^^^^^
Line 5, column 257, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'scholar' seems to be countable, so consider using: 'scholars'.
Suggestion: scholars
...of fresher in same course. Although, 11 scholar of Malaysia had enrolled in the college...
^^^^^^^
Line 5, column 493, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... attracted to the same course then women . Secondly, the big unit of fresher ha...
^^
Line 7, column 39, Rule ID: HAD_VBP[1]
Message: Possible agreement error -- use past participle here: 'entered'.
Suggestion: entered
... Secondly, the big unit of fresher had enter to college from Chine . On the other ha...
^^^^^
Line 7, column 39, Rule ID: HAVE_PART_AGREEMENT[1]
Message: Use past participle here: 'entered'.
Suggestion: entered
... Secondly, the big unit of fresher had enter to college from Chine . On the other ha...
^^^^^
Line 7, column 66, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... fresher had enter to college from Chine . On the other hand, more number of women...
^^
Line 7, column 149, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...had sigh up to network course from Chine similarly, male are focused on network p...
^^
Line 7, column 228, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...k programming then database option. But, in Sri Lank 12 number of pupils are enr...
^^
Line 7, column 241, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... then database option. But, in Sri Lank 12 number of pupils are enrolled in Cana...
^^
Transition Words or Phrases used:
but, first, firstly, however, second, secondly, similarly, so, then, third, whereas, in general, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 3.0 6.8 44% => More conjunction wanted.
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 40.0 33.7804878049 118% => 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: 973.0 965.302439024 101% => OK
No of words: 193.0 196.424390244 98% => OK
Chars per words: 5.0414507772 4.92477711251 102% => OK
Fourth root words length: 3.72725689877 3.73543355544 100% => OK
Word Length SD: 2.49198527863 2.65546596893 94% => OK
Unique words: 98.0 106.607317073 92% => More unique words wanted.
Unique words percentage: 0.507772020725 0.547539520022 93% => More unique words wanted or less content wanted.
syllable_count: 320.4 283.868780488 113% => OK
avg_syllables_per_word: 1.7 1.45097560976 117% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => 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: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 19.0 22.4926829268 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 33.7646264602 43.030603864 78% => OK
Chars per sentence: 97.3 112.824112599 86% => OK
Words per sentence: 19.3 22.9334400587 84% => OK
Discourse Markers: 11.4 5.23603664747 218% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 19.0 1.69756097561 1119% => 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: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.205485553627 0.215688989381 95% => OK
Sentence topic coherence: 0.0943276990957 0.103423049105 91% => OK
Sentence topic coherence SD: 0.104278515813 0.0843802449381 124% => OK
Paragraph topic coherence: 0.168977019432 0.15604864568 108% => OK
Paragraph topic coherence SD: 0.126017926064 0.0819641961636 154% => OK
Essay readability:
automated_readability_index: 12.0 13.2329268293 91% => Automated_readability_index is low.
flesch_reading_ease: 43.73 61.2550243902 71% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 11.95 11.4140731707 105% => OK
dale_chall_readability_score: 8.02 8.06136585366 99% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 12.0 11.0658536585 108% => 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.