The graph below shows the number of male and female students studying computer programming at university from 1985-2015.
The graph line below shows the number of male and female students studying computer programming at university from 1985-2015.
The graph shows information about computer programming at university in 1985 female students studying very less than man students. woman pupils were only around 1000 and male students were more than female pupils.they were around 5000. After that in 1990 they both only increased. In 1997 year they equaled. Then female pupils grew than man students. In 2006 they both were around 27000.
so in 2010 woman students was increased and they were 33000. but man pupils was around 34000. Sure male students were so much more than woman pupils. In 2015 man pupils were around 40000 and female students were 27000. The graph shows in 2015 female didn't grow
In conclusion female pupils didn't grow and feom 1985 to 2010 male and woman students grew. but the graph shows that from 2010 female students decreased. I think in the future the number of woman learners will grow.
Post date | Users | Rates | Link to Content |
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2019-12-18 | Ostonov Behruz | 56 | view |
2019-12-18 | Ostonov Behruz | 61 | view |
- The graph below shows the number of male and female students studying IT at university from 1985-2015.Summarise the information by selecting and reporting the main features and make comparisons where relevant. 61
- The graph below shows the number of male and female students studying IT at university from 1985-2015. 61
- The graph below shows the number of male and female students studying computer programming at university from 1985-2015. 56
- The graph below shows the number of male and female students studying IT at university from 1985-2015 61
- The graph below shows the number of male and female students studying IT at university 1985-2015.Summarise the information by selecting and reporting the main features and make comparisons where relevant. 56
Grammar and spelling errors:
Line 1, column 127, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ogramming at university from 1985-2015. The graph shows information about comp...
^^^^^^^
Line 5, column 134, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Woman
...s studying very less than man students. woman pupils were only around 1000 and male s...
^^^^^
Line 5, column 239, Rule ID: SENTENCE_FRAGMENT[1]
Message: “After” at the beginning of a sentence requires a 2nd clause. Maybe a comma, question or exclamation mark is missing, or the sentence is incomplete and should be joined with the following sentence.
...an female pupils.they were around 5000. After that in 1990 they both only increased. ...
^^^^^
Line 9, column 1, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: So
... 2006 they both were around 27000. so in 2010 woman students was increased an...
^^
Line 9, column 62, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: But
...ents was increased and they were 33000. but man pupils was around 34000. Sure male ...
^^^
Line 9, column 251, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: didn't
...e 27000. The graph shows in 2015 female didnt grow In conclusion female pupils d...
^^^^^
Line 13, column 29, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: didn't
...t grow In conclusion female pupils didnt grow and feom 1985 to 2010 male and wom...
^^^^^
Line 13, column 92, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: But
...5 to 2010 male and woman students grew. but the graph shows that from 2010 female s...
^^^
Transition Words or Phrases used:
but, so, then, i think, in conclusion
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 : 8.0 6.8 118% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 24.0 33.7804878049 71% => 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: 844.0 965.302439024 87% => OK
No of words: 167.0 196.424390244 85% => More content wanted.
Chars per words: 5.05389221557 4.92477711251 103% => OK
Fourth root words length: 3.59483629437 3.73543355544 96% => OK
Word Length SD: 2.17929522826 2.65546596893 82% => OK
Unique words: 74.0 106.607317073 69% => More unique words wanted.
Unique words percentage: 0.443113772455 0.547539520022 81% => More unique words wanted or less content wanted.
syllable_count: 225.9 283.868780488 80% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => 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: 11.0 22.4926829268 49% => The Avg. Sentence Length is relatively short.
Sentence length SD: 36.6030137044 43.030603864 85% => OK
Chars per sentence: 60.2857142857 112.824112599 53% => More chars_per_sentence wanted.
Words per sentence: 11.9285714286 22.9334400587 52% => More words per sentence wanted.
Discourse Markers: 2.64285714286 5.23603664747 50% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 8.0 1.69756097561 471% => Less language errors wanted.
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 9.0 4.09268292683 220% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.45299247897 0.215688989381 210% => OK
Sentence topic coherence: 0.175776789506 0.103423049105 170% => OK
Sentence topic coherence SD: 0.251948196566 0.0843802449381 299% => The coherence between sentences is low.
Paragraph topic coherence: 0.408392324139 0.15604864568 262% => Maybe some contents are duplicated.
Paragraph topic coherence SD: 0.308973761259 0.0819641961636 377% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 8.3 13.2329268293 63% => Automated_readability_index is low.
flesch_reading_ease: 77.23 61.2550243902 126% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 5.2 10.3012195122 50% => Flesch kincaid grade is low.
coleman_liau_index: 11.12 11.4140731707 97% => OK
dale_chall_readability_score: 5.98 8.06136585366 74% => OK
difficult_words: 19.0 40.7170731707 47% => More difficult words wanted.
linsear_write_formula: 5.0 11.4329268293 44% => Linsear_write_formula is low.
gunning_fog: 6.4 10.9970731707 58% => Gunning_fog is low.
text_standard: 6.0 11.0658536585 54% => The average readability is low. Need to imporve the language.
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.