The graph and table below give information about water use worldwide and water consumption in two different countries.
The line graph and table show a variety about Global water use by sector between 1990 and 2000 and the amount of water consumption in Brazil and Congo in 2000.
In general terms, there was a fluctuation of the amount of water use in the over world of three sector ( domestic use, industrial use and Agriculture). Besides, the amount of water consumption is different in Brazil and Congo in 2000.
It is clear from the line graph show that the amount of water that global use by domestic increased slightly from 0 km3 to about 400 Km3 from 1990 to 2000. This figure for industrial use rose gradually from nearly 0 km3 to around 1100 km3 in this period while the figure for Agriculture grew significantly from approximately 500 km3 to peak of about 3000 km3. it is a huge number for Agriculture.
On the other hand, the table graph show that Brazil has the all three items ( population, irrigated land and water consumption per person ) than Congo in 2000. Brazil has the crowded population ( 176 million) because it has more irrigated land (26,500 km2) so the amount of water consumption per person was large ( 359 m3) . In contrast, Congo has the sparsely population ( 5.2 million) so the amount of water consumption per person ( 8 m3) small than Brazil.
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- The graph below shows the quantities of goods transported in the UK between 1974 and 2002 by four different modes of transport.Summarise the information by selecting and reporting the main features, and make comparisons where relevant 67
Grammar and spelling errors:
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Suggestion:
...er use in the over world of three sector domestic use, industrial use and Agricul...
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Suggestion: It
...tely 500 km3 to peak of about 3000 km3. it is a huge number for Agriculture. On t...
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Line 4, column 76, Rule ID: WHITESPACE_RULE
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...show that Brazil has the all three items population, irrigated land and water con...
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Line 4, column 137, Rule ID: WHITESPACE_RULE
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...ed land and water consumption per person than Congo in 2000. Brazil has the crowd...
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Line 4, column 191, Rule ID: WHITESPACE_RULE
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... 2000. Brazil has the crowded population 176 million because it has more irrigate...
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Line 4, column 306, Rule ID: WHITESPACE_RULE
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...f water consumption per person was large 359 m3 . In contrast, Congo has the spar...
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Line 4, column 314, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...consumption per person was large 359 m3 . In contrast, Congo has the sparsely pop...
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Line 4, column 363, Rule ID: WHITESPACE_RULE
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...trast, Congo has the sparsely population 5.2 million so the amount of water consu...
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Line 4, column 422, Rule ID: WHITESPACE_RULE
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...e amount of water consumption per person 8 m3 small than Brazil.
^^
Transition Words or Phrases used:
besides, if, so, while, in contrast, in general, on the other hand
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 : 7.0 6.8 103% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 36.0 33.7804878049 107% => OK
Nominalization: 9.0 3.97073170732 227% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1017.0 965.302439024 105% => OK
No of words: 219.0 196.424390244 111% => OK
Chars per words: 4.64383561644 4.92477711251 94% => OK
Fourth root words length: 3.84690116678 3.73543355544 103% => OK
Word Length SD: 2.55751606637 2.65546596893 96% => OK
Unique words: 100.0 106.607317073 94% => More unique words wanted.
Unique words percentage: 0.456621004566 0.547539520022 83% => More unique words wanted or less content wanted.
syllable_count: 297.0 283.868780488 105% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Interrogative: 0.0 0.114634146341 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: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 46.4545443564 43.030603864 108% => OK
Chars per sentence: 113.0 112.824112599 100% => OK
Words per sentence: 24.3333333333 22.9334400587 106% => OK
Discourse Markers: 7.33333333333 5.23603664747 140% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 9.0 1.69756097561 530% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.276428341523 0.215688989381 128% => OK
Sentence topic coherence: 0.138751047956 0.103423049105 134% => OK
Sentence topic coherence SD: 0.0887359068872 0.0843802449381 105% => OK
Paragraph topic coherence: 0.20429455025 0.15604864568 131% => OK
Paragraph topic coherence SD: 0.0825973365658 0.0819641961636 101% => OK
Essay readability:
automated_readability_index: 12.6 13.2329268293 95% => OK
flesch_reading_ease: 64.04 61.2550243902 105% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 9.93 11.4140731707 87% => OK
dale_chall_readability_score: 6.7 8.06136585366 83% => OK
difficult_words: 26.0 40.7170731707 64% => More difficult words wanted.
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
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Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 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.