The line graphs below show the production and demand for steel in million tonnes and the number of workers employed in the steel industry in the UK in 2010 Summarize the information by selecting and reporting the main features and make comparisons where r

The first line graph demonstrates the amount of manufacture and the need for steel which is measured in million tones units and the second picture illustrates the numerical value of employees who worked in that industry in the UK in 2010.

Overall, what stands out from the first graph is that the amount of production was higher over the period than the actual consumption except the December, on the other hand, the number of workers decreased gradually.

In the early of the year, the companies produced 4000 million tones of steel, while the real utilization was half of the production. Then both started to increase in February the amount of manufacture reached its peak value which was 5000 million tones. The same trend was seen in demand, the highest need noticed in March the amount around 3000 million tones. Until August the production remained to level off, on the other hand, the fluctuation was observed in the case of need. After August the manufacture increased for a sudden time then it gradually went down. A significant change was noticed in demand just before December it came to zero then increased linearly.
In January 5000 employees worked in this sector then the number upgraded almost 500 then slipped off to 3000. For the next three months, the figure remained the same. Then up and down was seen until the August after that it climbed down to 1000 in December.

Votes
Average: 7.3 (1 vote)

Grammar and spelling errors:
Line 1, column 105, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...the need for steel which is measured in million tones units and the second picture illu...
^^^^^^^
Line 6, column 11, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ero then increased linearly. In January 5000 employees worked in this sector the...
^^

Transition Words or Phrases used:
first, if, second, then, while, on the other hand

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 3.0 6.8 44% => More conjunction wanted.
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 45.0 33.7804878049 133% => OK
Nominalization: 6.0 3.97073170732 151% => OK

Performance on vocabulary words:
No of characters: 1160.0 965.302439024 120% => OK
No of words: 238.0 196.424390244 121% => OK
Chars per words: 4.87394957983 4.92477711251 99% => OK
Fourth root words length: 3.92775363542 3.73543355544 105% => OK
Word Length SD: 2.42759714108 2.65546596893 91% => OK
Unique words: 130.0 106.607317073 122% => OK
Unique words percentage: 0.546218487395 0.547539520022 100% => OK
syllable_count: 341.1 283.868780488 120% => 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: 8.0 4.33902439024 184% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK

Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 52.0252640471 43.030603864 121% => OK
Chars per sentence: 105.454545455 112.824112599 93% => OK
Words per sentence: 21.6363636364 22.9334400587 94% => OK
Discourse Markers: 4.45454545455 5.23603664747 85% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.149829243122 0.215688989381 69% => OK
Sentence topic coherence: 0.0546752228227 0.103423049105 53% => OK
Sentence topic coherence SD: 0.0546065029209 0.0843802449381 65% => OK
Paragraph topic coherence: 0.101775298866 0.15604864568 65% => OK
Paragraph topic coherence SD: 0.0656554866503 0.0819641961636 80% => OK

Essay readability:
automated_readability_index: 12.3 13.2329268293 93% => Automated_readability_index is low.
flesch_reading_ease: 67.08 61.2550243902 110% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.97 11.4140731707 96% => OK
dale_chall_readability_score: 7.73 8.06136585366 96% => OK
difficult_words: 46.0 40.7170731707 113% => OK
linsear_write_formula: 18.5 11.4329268293 162% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?

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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.