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 relevant.
The line graphs illustrate, the steel production and actual needs of steel in million tonnes over the 12 months period and the account for workers in steel manufacturing company in UK during the year of 2010. Units are measured in million tonnes and number of workers in thousands.
Overall, steel produced in UK was relatively higher than actual demand over the whole year except the month of December. Whereas, the data of workers was significantly declined by the end of the year.
UK steel production began at 4000 million in January, which reached to 5000 millions in February then there was a steady movement in production up to July. After that, growth declined to near 3000 in August which dramatically climbed to the 5000 millions before rapidly dipped into below 1000 by the end of year in 2010. While, demands of steel was started with 2000 million in the early month of 2010, which went up to 3000 million customers for steel in middle of March. Demand of steel considerably decrease to below 2000 million tonnes in the following months, then there was a fluctuation in marketing between 2000 and 3000 million by the start of October. Moreover, just like production,demands also sharply went down and stayed in zero level at the beginning of December, later, demands climbed up to starting count with 2000 million.
On the other hand, number of workers began at 5000 and slight increase over next months and which went down to 3000 employees in April. Then there was a stable in numbers with slight fluctuation in between months of April and August, while, there were sharp decline of numbers in steel companies to 1000 by December 2010 in UK.
Grammar and spelling errors:
Line 1, column 79, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...production and actual needs of steel in million tonnes over the 12 months period and th...
^^^^^^^
Line 1, column 232, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...the year of 2010. Units are measured in million tonnes and number of workers in thousan...
^^^^^^^
Line 3, column 122, 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.
...hole year except the month of December. Whereas, the data of workers was significantly ...
^^^^^^^
Line 5, column 164, 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.
...eady movement in production up to July. After that growth declined to near 3000 in Au...
^^^^^
Line 5, column 350, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... of year in 2010. While demands of steel was started with 2000 million tonnes in ...
^^
Line 5, column 720, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , demands
... October. Moreover, just like production,demands also sharply went down and stayed in ze...
^^^^^^^^
Line 7, column 252, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...s of April and August, while, there were sharp decline of numbers in steel compan...
^^
Transition Words or Phrases used:
also, if, moreover, so, then, whereas, while, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 76.0 33.7804878049 225% => Less preposition wanted.
Nominalization: 7.0 3.97073170732 176% => OK
Performance on vocabulary words:
No of characters: 1409.0 965.302439024 146% => OK
No of words: 289.0 196.424390244 147% => Less content wanted.
Chars per words: 4.87543252595 4.92477711251 99% => OK
Fourth root words length: 4.12310562562 3.73543355544 110% => OK
Word Length SD: 2.53148183532 2.65546596893 95% => OK
Unique words: 136.0 106.607317073 128% => OK
Unique words percentage: 0.470588235294 0.547539520022 86% => More unique words wanted or less content wanted.
syllable_count: 396.0 283.868780488 140% => 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: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => 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: 11.0 8.94146341463 123% => OK
Sentence length: 26.0 22.4926829268 116% => OK
Sentence length SD: 43.8703951458 43.030603864 102% => OK
Chars per sentence: 128.090909091 112.824112599 114% => OK
Words per sentence: 26.2727272727 22.9334400587 115% => OK
Discourse Markers: 5.72727272727 5.23603664747 109% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 7.0 1.69756097561 412% => Less language errors wanted.
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => 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: 0.328203542008 0.215688989381 152% => OK
Sentence topic coherence: 0.14506477935 0.103423049105 140% => OK
Sentence topic coherence SD: 0.0929787599063 0.0843802449381 110% => OK
Paragraph topic coherence: 0.214903724628 0.15604864568 138% => OK
Paragraph topic coherence SD: 0.114908483319 0.0819641961636 140% => OK
Essay readability:
automated_readability_index: 14.7 13.2329268293 111% => OK
flesch_reading_ease: 62.01 61.2550243902 101% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 11.32 11.4140731707 99% => OK
dale_chall_readability_score: 7.99 8.06136585366 99% => OK
difficult_words: 56.0 40.7170731707 138% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 12.4 10.9970731707 113% => OK
text_standard: 11.0 11.0658536585 99% => 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.