the diagram below explained the process of making wooden pallets used to hit building summarized the information by selecting and reporting the main feature and make comparison where relevant wood pellets manufactured by this process are suitable for use in both pellets top and plate furnaces.
Tje provided flowchart depict that a process which used to prepare wood pellets in various steps that used to heat the building .An over view suggest that the process making wood pellets are divided into seven stages .
A closer look at flow chart reveals that in early stage sawdust sent from sawmill, which is a raw material used to make wood pellets .In second stage sawdust has hammered into fiber of uniform length in a hammermill.thereafter ready fiber make mousite free with the steam .wet fibre are forced through hole in a machine which convert fiber into pellet .
Moreover in a next step ready pellets sent into low temperature for cooling .the cold pellets sent to vacuumed . Finally pellets are packed into eighteen kilogram packet and sent into the market for sale and the packet sent for the both purpose pallets stop and palette for furnaces.
Overall ,it can be interpreted that all steps are mandatory which are play vital role to complete this flow and pellets are ready for sale in the seventh stage .
Post date | Users | Rates | Link to Content |
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2020-07-01 | sardarni kaur | 59 | view |
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- in some countries owing a home rather than renting on is very important for people why is this calls do you think this is positive or negative situation 56
- the diagram below explained the process of making wooden pallets used to hit building summarized the information by selecting and reporting the main feature and make comparison where relevant wood pellets manufactured by this process are suitable for use 59
- some people feel that robots are very important to human future development while other think they are dangerous and have negative effect on the society discuss both the view give your opinion 74
Grammar and spelling errors:
Line 1, column 128, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ous steps that used to heat the building .An over view suggest that the process ma...
^^
Line 1, column 130, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: An
...s steps that used to heat the building .An over view suggest that the process maki...
^^
Line 1, column 217, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...od pellets are divided into seven stages . A closer look at flow chart reveals th...
^^
Line 2, column 133, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...a raw material used to make wood pellets .In second stage sawdust has hammered in...
^^
Line 2, column 134, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: In
...raw material used to make wood pellets .In second stage sawdust has hammered into...
^^
Line 2, column 157, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ke wood pellets .In second stage sawdust has hammered into fiber of uniform lengt...
^^
Line 2, column 233, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... length in a hammermill.thereafter ready fiber make mousite free with the steam ....
^^
Line 2, column 273, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... fiber make mousite free with the steam .wet fibre are forced through hole in a ...
^^
Line 2, column 278, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...er make mousite free with the steam .wet fibre are forced through hole in a machi...
^^
Line 2, column 354, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... machine which convert fiber into pellet . Moreover in a next step ready pellets ...
^^
Line 3, column 1, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Moreover,
...hine which convert fiber into pellet . Moreover in a next step ready pellets sent into ...
^^^^^^^^
Line 3, column 76, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ts sent into low temperature for cooling .the cold pellets sent to vacuumed . Fina...
^^
Line 3, column 111, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...oling .the cold pellets sent to vacuumed . Finally pellets are packed into eightee...
^^
Line 3, column 113, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Finally,
...ng .the cold pellets sent to vacuumed . Finally pellets are packed into eighteen kilogr...
^^^^^^^
Line 3, column 163, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'packet' seems to be countable, so consider using: 'packets'.
Suggestion: packets
...llets are packed into eighteen kilogram packet and sent into the market for sale and t...
^^^^^^
Line 4, column 8, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... stop and palette for furnaces. Overall ,it can be interpreted that all steps are...
^^
Line 4, column 160, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... are ready for sale in the seventh stage .
^^
Transition Words or Phrases used:
finally, if, look, moreover, second
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 9.0 3.15609756098 285% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 24.0 33.7804878049 71% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 846.0 965.302439024 88% => OK
No of words: 175.0 196.424390244 89% => More content wanted.
Chars per words: 4.83428571429 4.92477711251 98% => OK
Fourth root words length: 3.63713576256 3.73543355544 97% => OK
Word Length SD: 2.40820357565 2.65546596893 91% => OK
Unique words: 105.0 106.607317073 98% => OK
Unique words percentage: 0.6 0.547539520022 110% => OK
syllable_count: 262.8 283.868780488 93% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => 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: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 5.0 8.94146341463 56% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 35.0 22.4926829268 156% => The Avg. Sentence Length is relatively long.
Sentence length SD: 83.3872891993 43.030603864 194% => OK
Chars per sentence: 169.2 112.824112599 150% => OK
Words per sentence: 35.0 22.9334400587 153% => OK
Discourse Markers: 7.0 5.23603664747 134% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 17.0 1.69756097561 1001% => 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: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.215472322262 0.215688989381 100% => OK
Sentence topic coherence: 0.120555401281 0.103423049105 117% => OK
Sentence topic coherence SD: 0.0855379301955 0.0843802449381 101% => OK
Paragraph topic coherence: 0.136490837609 0.15604864568 87% => OK
Paragraph topic coherence SD: 0.0892136607681 0.0819641961636 109% => OK
Essay readability:
automated_readability_index: 18.8 13.2329268293 142% => OK
flesch_reading_ease: 44.41 61.2550243902 73% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 15.8 10.3012195122 153% => OK
coleman_liau_index: 11.33 11.4140731707 99% => OK
dale_chall_readability_score: 8.89 8.06136585366 110% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 26.0 11.4329268293 227% => Linsear_write_formula is high.
gunning_fog: 16.0 10.9970731707 145% => OK
text_standard: 16.0 11.0658536585 145% => OK
What are above readability scores?
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Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.