The charts below compare five different countries, showing the electricity used (measured in
megawatts or mw) in a typical hospital during one week, and also the number of emergency medical
calls made by local residents during the same week. The last chart shows the average time (in
minutes) spent on assessing emergency cases by hospital medical staff before the patients are treated.
Write a report summarising the information. Select and describe the main features, and make
comparisons where relevant.
Write at least 150 words.
The first tables demonstrates, the amount of electricity used in a typical hospital in a week . Units are measured in a megawatt. Whereas, second table depicts the accounts of time spent in a hospital medical staff before the treatments starts in five different countries. While, line graph illustrates, the information of emergency calls made by local residents in given hospital.
France was the most significant country which is use high amount of electricity about maximum 33 mw. While, after four days Canada makes up the position as compared to other countries from 27 MW to 38 MW in a whole week. Japan and Russia has approximately 17 MW to 19 MW and 12 MW to 16 MW respectively, though, Russia increases the usage by the last day of week with 24 MW. Moreover, the least electricity consumers are Argentina with less than 10 MW in given week.
Regarding the number of medical calls, a noticeable trend by Canada which is more than 100 calls to above 160 at the end of week. France and Japan was the second and third position which is about 100 calls and 90 calls respectively after climbing up to 120 calls on Wednesday in France and fell down to 80 calls on Thursday by Japan. Russia has considerable growth in emergency calls from 60 calls on Monday to 110 calls on week end sunday. Whilst, Argentina remained least position begun with 30 calls and relatively downward trend and reached to below 20 calls by the last day of week.
Moreover, assessing medical emergency cases by hospital staff, Russia has a significant changes after three days such as 12 minutes on monday to 28 minutes on Sunday. Japan and France consist of about 15 to 16 minutes and 12 to 14 minutes respectively in a week. Argentina remained stable in whole week with 12 minutes, while, Canadians stayed in hospitals around 11 to 12 week.
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Grammar and spelling errors:
Line 1, column 18, Rule ID: AGREEMENT_SENT_START[2]
Message: You should probably use 'demonstrate'.
Suggestion: demonstrate
The first tables demonstrates, the amount of electricity used in a ty...
^^^^^^^^^^^^
Line 1, column 94, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ity used in a typical hospital in a week . Units are measured in a megawatt. Where...
^^
Line 1, column 131, Rule ID: SENTENCE_FRAGMENT[1]
Message: “Whereas” 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.
...eek . Units are measured in a megawatt. Whereas, second table depicts the accounts of t...
^^^^^^^
Line 5, column 263, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...pectively after climbing up to 120 calls on Wednesday in France and fell down to ...
^^
Line 5, column 461, Rule ID: THE_SUPERLATIVE[3]
Message: A determiner is probably missing here: 'remained the least'.
Suggestion: remained the least
...s on week end sunday. Whilst, Argentina remained least position begun with 30 calls and relati...
^^^^^^^^^^^^^^
Line 7, column 89, Rule ID: A_PLURAL[2]
Message: Don't use indefinite articles with plural words. Did you mean 'change'?
Suggestion: change
...ospital staff, Russia has a significant changes after three days such as 12 minutes on ...
^^^^^^^
Line 7, column 374, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'week' seems to be countable, so consider using: 'weeks'.
Suggestion: weeks
...ans stayed in hospitals around 11 to 12 week.
^^^^
Transition Words or Phrases used:
first, if, moreover, regarding, second, third, whereas, while, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 68.0 33.7804878049 201% => Less preposition wanted.
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1508.0 965.302439024 156% => OK
No of words: 319.0 196.424390244 162% => Less content wanted.
Chars per words: 4.72727272727 4.92477711251 96% => OK
Fourth root words length: 4.22617688928 3.73543355544 113% => OK
Word Length SD: 2.70774352552 2.65546596893 102% => OK
Unique words: 157.0 106.607317073 147% => OK
Unique words percentage: 0.492163009404 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 448.2 283.868780488 158% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 15.0 8.94146341463 168% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 38.2341325113 43.030603864 89% => OK
Chars per sentence: 100.533333333 112.824112599 89% => OK
Words per sentence: 21.2666666667 22.9334400587 93% => OK
Discourse Markers: 4.66666666667 5.23603664747 89% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 7.0 1.69756097561 412% => Less language errors wanted.
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
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: 0.225917460216 0.215688989381 105% => OK
Sentence topic coherence: 0.0863669364539 0.103423049105 84% => OK
Sentence topic coherence SD: 0.0473192591956 0.0843802449381 56% => OK
Paragraph topic coherence: 0.145637213637 0.15604864568 93% => OK
Paragraph topic coherence SD: 0.0692494496755 0.0819641961636 84% => OK
Essay readability:
automated_readability_index: 11.5 13.2329268293 87% => Automated_readability_index is low.
flesch_reading_ease: 67.08 61.2550243902 110% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.15 11.4140731707 89% => OK
dale_chall_readability_score: 7.5 8.06136585366 93% => OK
difficult_words: 57.0 40.7170731707 140% => OK
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 9.0 11.0658536585 81% => 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.