The graph below shows the annual water uses by industries in some countries
the bar graph depicts how much water is used in various industries in some country. Unit is measured in million of cubic metres.
Overall,ground water and public supply were maximum utilised in chemical industry as well as both ground water and public supply was used minimum for machinery and fuel and textile respectively.
in the case of ground water ,metal industries utilised fourfold water than textile industries ,240 and 60 respectively. Chemicals industries used the highest amount of water for(430 ).On the other hand ,the lowest water used in machinery industry, while paper industries used slight above ,food and drinks for causes which was 190 and 110 ,whereas fuel utilised 70 millions of cubic metres water.
in terms of public supply ,the highest proportion of water used for chemicals make purposes and the lowest utilised in fuel and textiles with 240 and 10 ,while fuel and textile industries used same millions of cubic metres water. Machinery and metal industries used almost same water proportion (100 and 90). Food and drinks industries used 190 millions of cubic metres water and 20 millions of cubic metres water used for paper making purposes.
Grammar and spelling errors:
Line 1, column 1, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: The
the bar graph depicts how much water is use...
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Line 1, column 105, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...es in some country. Unit is measured in million of cubic metres. Overall,ground wa...
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Line 5, column 8, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , ground
...in million of cubic metres. Overall,ground water and public supply were maximum ut...
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Line 9, column 1, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: In
...and fuel and textile respectively. in the case of ground water ,metal industr...
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Line 9, column 28, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...tively. in the case of ground water ,metal industries utilised fourfold wate...
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Line 9, column 64, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ater ,metal industries utilised fourfold water than textile industries ,240 and 6...
^^
Line 9, column 95, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... fourfold water than textile industries ,240 and 60 respectively. Chemicals indus...
^^
Line 9, column 182, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... used the highest amount of water for430 .On the other hand ,the lowest water use...
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Line 9, column 184, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: On
...sed the highest amount of water for430 .On the other hand ,the lowest water used ...
^^
Line 9, column 186, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d the highest amount of water for430 .On the other hand ,the lowest water used in...
^^
Line 9, column 202, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ount of water for430 .On the other hand ,the lowest water used in machinery indus...
^^
Line 9, column 254, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... water used in machinery industry, while paper industries used slight above ,food...
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Line 9, column 290, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...hile paper industries used slight above ,food and drinks for causes which was 190...
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Line 9, column 340, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... drinks for causes which was 190 and 110 ,whereas fuel utilised 70 millions of cub...
^^
Line 9, column 364, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '70 million'.
Suggestion: 70 million
... was 190 and 110 ,whereas fuel utilised 70 millions of cubic metres water. in terms of pu...
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Line 13, column 1, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: In
...70 millions of cubic metres water. in terms of public supply ,the highest pro...
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Line 13, column 26, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...es water. in terms of public supply ,the highest proportion of water used for...
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Line 13, column 153, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...sed in fuel and textiles with 240 and 10 ,while fuel and textile industries used s...
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Line 13, column 340, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '190 million'.
Suggestion: 190 million
...and 90. Food and drinks industries used 190 millions of cubic metres water and 20 millions of c...
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Line 13, column 379, Rule ID: CD_DOZENS_OF[1]
Message: Use a singular form of the numeral here: '20 million'.
Suggestion: 20 million
... 190 millions of cubic metres water and 20 millions of cubic metres water used for paper makin...
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Transition Words or Phrases used:
so, well, whereas, while, as well as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 15.0 6.8 221% => Less conjunction wanted
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 20.0 33.7804878049 59% => More preposition wanted.
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 991.0 965.302439024 103% => OK
No of words: 190.0 196.424390244 97% => OK
Chars per words: 5.21578947368 4.92477711251 106% => OK
Fourth root words length: 3.71268753763 3.73543355544 99% => OK
Word Length SD: 2.49020797004 2.65546596893 94% => OK
Unique words: 89.0 106.607317073 83% => More unique words wanted.
Unique words percentage: 0.468421052632 0.547539520022 86% => More unique words wanted or less content wanted.
syllable_count: 298.8 283.868780488 105% => 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: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 75.9354166381 43.030603864 176% => OK
Chars per sentence: 123.875 112.824112599 110% => OK
Words per sentence: 23.75 22.9334400587 104% => OK
Discourse Markers: 4.5 5.23603664747 86% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 20.0 1.69756097561 1178% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
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: 0.316023281737 0.215688989381 147% => OK
Sentence topic coherence: 0.179389806402 0.103423049105 173% => OK
Sentence topic coherence SD: 0.0885065993307 0.0843802449381 105% => OK
Paragraph topic coherence: 0.22767789624 0.15604864568 146% => OK
Paragraph topic coherence SD: 0.0542719277261 0.0819641961636 66% => OK
Essay readability:
automated_readability_index: 15.0 13.2329268293 113% => OK
flesch_reading_ease: 48.13 61.2550243902 79% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 12.3 10.3012195122 119% => OK
coleman_liau_index: 13.29 11.4140731707 116% => OK
dale_chall_readability_score: 7.69 8.06136585366 95% => OK
difficult_words: 35.0 40.7170731707 86% => OK
linsear_write_formula: 11.5 11.4329268293 101% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.