The diagram details the process of making leather products.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
This diagram illustrate the whole process of making leather products and how it is transformed from a natural material to a final product .It is obvious that there are ten distinct stages in this process from the initial process drying the animal skin to the eventual product of leather bags and boots.Initially, animal skin is dried as a first stage .The step after this is that animal skin is transformed by trucks to the factory .Where it is get washed with water and lime .Step four It get soaked with the lime. Next, the animal skin gets into a process in a machine to be flattened. Then it is get into another soaking process with water and tannin vegetable matter.Eventually, it is being inserted into the polishing operation .Subsequently transformed by trucks to another factory. Where the animal skin is get converted to a final product after all these stages and it is manufactured into a ready- made boots and bags.
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Grammar and spelling errors:
Line 1, column 14, Rule ID: MASS_AGREEMENT[2]
Message: Possible agreement error - use third-person verb forms for singular and mass nouns: 'illustrates'.
Suggestion: illustrates
This diagram illustrate the whole process of making leather pro...
^^^^^^^^^^
Line 1, column 138, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...om a natural material to a final product .It is obvious that there are ten distinc...
^^
Line 1, column 140, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: It
... a natural material to a final product .It is obvious that there are ten distinct ...
^^
Line 1, column 303, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ntual product of leather bags and boots.Initially, animal skin is dried as a fir...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Line 1, column 386, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...y, animal skin is dried as a first stage .The step after this is that animal skin ...
^^
Line 1, column 388, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
... animal skin is dried as a first stage .The step after this is that animal skin is ...
^^^
Line 1, column 467, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... is transformed by trucks to the factory .Where it is get washed with water and li...
^^
Line 1, column 469, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Where
...s transformed by trucks to the factory .Where it is get washed with water and lime .S...
^^^^^
Line 1, column 511, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ere it is get washed with water and lime .Step four It get soaked with the lime. N...
^^
Line 1, column 513, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Step
...e it is get washed with water and lime .Step four It get soaked with the lime. Next,...
^^^^
Line 1, column 526, Rule ID: IT_VBZ[1]
Message: Did you mean 'gets'?
Suggestion: gets
...ashed with water and lime .Step four It get soaked with the lime. Next, the animal ...
^^^
Line 1, column 707, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... with water and tannin vegetable matter.Eventually, it is being inserted into th...
^^^^^^^^^^^^^^^^^^^^^^^^^
Line 1, column 793, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ng inserted into the polishing operation .Subsequently transformed by trucks to an...
^^
Line 1, column 795, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Subsequently
... inserted into the polishing operation .Subsequently transformed by trucks to another factor...
^^^^^^^^^^^^
Line 1, column 795, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Subsequently,
... inserted into the polishing operation .Subsequently transformed by trucks to another factor...
^^^^^^^^^^^^
Transition Words or Phrases used:
first, so, then, after all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 7.0 186% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 13.0 5.60731707317 232% => Less pronouns wanted
Preposition: 23.0 33.7804878049 68% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 947.0 965.302439024 98% => OK
No of words: 161.0 196.424390244 82% => More content wanted.
Chars per words: 5.88198757764 4.92477711251 119% => OK
Fourth root words length: 3.56210296601 3.73543355544 95% => OK
Word Length SD: 11.70569691 2.65546596893 441% => Word_Length_SD is high.
Unique words: 85.0 106.607317073 80% => More unique words wanted.
Unique words percentage: 0.527950310559 0.547539520022 96% => OK
syllable_count: 243.0 283.868780488 86% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 0.0 3.36585365854 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 4.0 8.94146341463 45% => 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: 40.0 22.4926829268 178% => The Avg. Sentence Length is relatively long.
Sentence length SD: 211.781727257 43.030603864 492% => The lengths of sentences changed so frequently.
Chars per sentence: 236.75 112.824112599 210% => Less chars_per_sentence wanted.
Words per sentence: 40.25 22.9334400587 176% => OK
Discourse Markers: 6.5 5.23603664747 124% => OK
Paragraphs: 1.0 3.83414634146 26% => More paragraphs wanted.
Language errors: 15.0 1.69756097561 884% => Less language errors wanted.
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.142956257583 0.215688989381 66% => OK
Sentence topic coherence: 0.0738719188411 0.103423049105 71% => OK
Sentence topic coherence SD: 0.0563242927203 0.0843802449381 67% => OK
Paragraph topic coherence: 0.142956257583 0.15604864568 92% => OK
Paragraph topic coherence SD: 0.0 0.0819641961636 0% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 26.4 13.2329268293 200% => OK
flesch_reading_ease: 39.34 61.2550243902 64% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 17.7 10.3012195122 172% => OK
coleman_liau_index: 17.71 11.4140731707 155% => OK
dale_chall_readability_score: 8.46 8.06136585366 105% => OK
difficult_words: 29.0 40.7170731707 71% => More difficult words wanted.
linsear_write_formula: 26.0 11.4329268293 227% => Linsear_write_formula is high.
gunning_fog: 18.0 10.9970731707 164% => OK
text_standard: 18.0 11.0658536585 163% => OK
What are above readability scores?
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Minimum two paragraphs wanted.
Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.